Youtube on | AIconomist

The AI Backlash Has Reached a Tipping Point

kitum.elgon@gmail.com (Kitum Elgon) — Mon, 20 Apr 2026 10:16:53 +0200

“The AI Backlash Has Reached a Tipping Point” by Vanessa Wingårdh:

https://www.youtube.com/watch?v=eDSaZveGttk

youtube channel of Vanessa Wingårdh:

https://www.youtube.com/@VanessaWing%C3%A5rdh

video of the talk @ youtube:

Deep Learning Is Hitting a Wall

kitum.elgon@gmail.com (Kitum Elgon) — Tue, 31 Mar 2026 16:30:55 +0200

Early insights from 2022, “Deep Learning Is Hitting a Wall” by Gary Marcus:

https://nautil.us/deep-learning-is-hitting-a-wall-238440

“Expensive new evidence that scaling is not all you need” by Gary Marcus

https://garymarcus.substack.com/p/breaking-expensive-new-evidence-that

“Sam Altman concedes that we need major breakthroughs beyond mere scaling to get to AGI” by Gary Marcus:

https://garymarcus.substack.com/p/breaking-sam-altman-concedes-that

KI für den Krieg: Der Streit zwischen dem Pentagon und einem KI-Unternehmen wirft ein Licht auf die neue militärische Technologiepolitik

kitum.elgon@gmail.com (Kitum Elgon) — Wed, 18 Mar 2026 04:18:07 +0100

“KI für den Krieg: Der Streit zwischen dem Pentagon und einem KI-Unternehmen wirft ein Licht auf die neue militärische Technologiepolitik” by Günther Burbach:

https://www.nachdenkseiten.de/?p=147657

Marc Andreessen: The real AI boom hasn’t even started yet

kitum.elgon@gmail.com (Kitum Elgon) — Tue, 17 Mar 2026 10:24:03 +0100

“Marc Andreessen: The real AI boom hasn’t even started yet” by Lenny’s Podcast:

https://www.youtube.com/watch?v=87Pm0SGTtN8

on Lenny’s Podcast:

https://www.youtube.com/channel/UC6t1O76G0jYXOAoYCm153dA

video of the talk @ youtube:

KI-Agenten kapern den demokratischen Diskurs

kitum.elgon@gmail.com (Kitum Elgon) — Tue, 17 Mar 2026 08:48:16 +0100

“KI-Agenten kapern den demokratischen Diskurs” by Bernardo Cantz:

https://www.telepolis.de/article/KI-Agenten-kapern-den-demokratischen-Diskurs-11211478.html

At the AI Race’s Finishing Line: A World of Abundance or Automated Dominance?

kitum.elgon@gmail.com (Kitum Elgon) — Fri, 13 Mar 2026 09:01:52 +0100

“At the AI Race’s Finishing Line: A World of Abundance or Automated Dominance?” by Brian Berletic:

https://landdestroyer.blogspot.com/2026/02/at-ai-races-finishing-line-world-of.html#more

Labor market impacts of AI: A new measure and early evidence

kitum.elgon@gmail.com (Kitum Elgon) — Mon, 09 Mar 2026 07:22:33 +0100

“Labor market impacts of AI: A new measure and early evidence” by :

https://www.anthropic.com/research/labor-market-impacts

discussion @ hackernews

https://news.ycombinator.com/item?id=47268391

Is AI Hiding Its Full Power? With Geoffrey Hinton

kitum.elgon@gmail.com (Kitum Elgon) — Sun, 08 Mar 2026 19:18:36 +0100

“Is AI Hiding Its Full Power? With Geoffrey Hinton” by StarTalk:

https://www.youtube.com/watch?v=l6ZcFa8pybE

Science meets pop culture on StarTalk! Astrophysicist & Hayden Planetarium director Neil deGrasse Tyson, his comic co-hosts, guest celebrities & scientists discuss astronomy, physics, and everything else about life in the universe.

https://www.youtube.com/@StarTalk/videos

video of the talk @ youtube:

The AI Data Center Gold Rush: The Bailout State Behind It

kitum.elgon@gmail.com (Kitum Elgon) — Mon, 23 Feb 2026 18:04:23 +0100

“The AI Data Center Gold Rush: The Bailout State Behind It " by Clara Mattei and Irai Regmi:

https://www.youtube.com/watch?v=fHwYIFa1mNE

on the youtube-channel of “FREE – Forum for Real Economic Emancipation”:

https://www.youtube.com/@FreeFreeForum

video of the talk @ youtube:

The End of AI Tourism - Tools vs Toys

kitum.elgon@gmail.com (Kitum Elgon) — Sun, 22 Feb 2026 14:45:45 +0100

“The End of AI Tourism - Tools vs Toys” by the value philosoper:

https://thevaluephilosopher.substack.com/p/the-end-of-ai-tourism-tools-vs-toys

from: “The Value Philosopher”

https://thevaluephilosopher.substack.com/

Rewiring Democracy

kitum.elgon@gmail.com (Kitum Elgon) — Tue, 17 Feb 2026 07:07:21 +0100

book: “Rewiring Democracy” by Bruce Schneier:

https://www.schneier.com/books/rewiring-democracy/

the ebook is on sale right now:

https://www.schneier.com/blog/archives/2026/02/rewiring-democracy-ebook-is-on-sale.html

interview: “Sicherheit durch KI: Bruce Schneier warnt vor Monopolen und fordert Regulierung” by Monika Ermert:

https://www.heise.de/hintergrund/KI-und-Cybersicherheit-Bruce-Schneier-ueber-Wettruesten-und-die-Rolle-Europas-11177077.html

Why I don't think AGI is imminent

kitum.elgon@gmail.com (Kitum Elgon) — Mon, 16 Feb 2026 11:06:49 +0100

“Why I don’t think AGI is imminent” by dlants.me:

https://dlants.me/agi-not-imminent.html

archived copy of the article:

https://archive.ph/D4EYW

discussion at hackernews:

https://news.ycombinator.com/item?id=47028923

Investoren werden sehr viel Geld verlieren

kitum.elgon@gmail.com (Kitum Elgon) — Sat, 14 Feb 2026 07:43:15 +0100

“Investoren werden sehr viel Geld verlieren” by Felix Stephan:

https://www.sueddeutsche.de/kultur/kuenstliche-intelligenz-risiken-blase-finanzkrise-li.3372115

paywalled article, an archived version of the article:

https://archive.ph/QPICd

Deutsche Forscher zeigen, wie KI-Modelle effizienter und günstiger werden können

kitum.elgon@gmail.com (Kitum Elgon) — Fri, 13 Feb 2026 07:30:26 +0100

“Deutsche Forscher zeigen, wie KI-Modelle effizienter und günstiger werden können” by Bernd Müller:

https://www.telepolis.de/article/Deutsche-Forscher-zeigen-wie-KI-Modelle-effizienter-und-guenstiger-werden-koennen-11172072.html

Commentary: Cory Doctorow: Reverse Centaurs

kitum.elgon@gmail.com (Kitum Elgon) — Mon, 02 Feb 2026 18:12:18 +0100

“Commentary: Reverse Centaurs” by Cory Doctorow:

https://locusmag.com/feature/commentary-cory-doctorow-reverse-centaurs/

TSMC Risk

kitum.elgon@gmail.com (Kitum Elgon) — Tue, 27 Jan 2026 13:52:42 +0100

“TSMC Risk” by Ben Thompson:

https://stratechery.com/2026/tsmc-risk/

“AI Promise and Chip Precariousness” by Ben Thompson:

https://stratechery.com/2025/ai-promise-and-chip-precariousness/

KI als Machtfaktor: USA dominieren, Europa kämpft um Anschluss

kitum.elgon@gmail.com (Kitum Elgon) — Sun, 25 Jan 2026 09:02:00 +0100

“KI als Machtfaktor: USA dominieren, Europa kämpft um Anschluss” by Bernd Müller:

https://www.telepolis.de/article/KI-als-Machtfaktor-USA-dominieren-Europa-kaempft-um-Anschluss-11149997.html

“AI Geopolitics 2030: Europas Weg zur strategischen KI-Souveränität”:

https://kpmg.com/de/de/home/themen/2026/01/ai-geopolitics-2030.html

Microsoft CEO warns that we must 'do something useful' with AI or they'll lose 'social permission' to burn electricity on it

kitum.elgon@gmail.com (Kitum Elgon) — Fri, 23 Jan 2026 16:53:04 +0100

we got the product, where is our market? ;)

“Microsoft CEO warns that we must ‘do something useful’ with AI or they’ll lose ‘social permission’ to burn electricity on it” by Tyler Wilde:

https://www.pcgamer.com/software/ai/microsoft-ceo-warns-that-we-must-do-something-useful-with-ai-or-theyll-lose-social-permission-to-burn-electricity-on-it/

discussion @ hackernews:

https://news.ycombinator.com/item?id=46718485

KI-Agent oder KI-Spion? Der gefährliche Weg in die Totalüberwachung auf PC und Smartphone

kitum.elgon@gmail.com (Kitum Elgon) — Fri, 16 Jan 2026 19:30:55 +0100

“KI-Agent oder KI-Spion? Der gefährliche Weg in die Totalüberwachung auf PC und Smartphone” by Andreas Proschofsky:

https://www.derstandard.at/story/3000000304299/ki-agent-oder-ki-spion-der-gefaehrliche-weg-in-die-totalueberwachung-auf-pc-und-smartphone

Fake-Studien: Künstliche Intelligenz gefährdet das Fundament der Wissenschaft

kitum.elgon@gmail.com (Kitum Elgon) — Fri, 09 Jan 2026 08:50:04 +0100

“Fake-Studien: Künstliche Intelligenz gefährdet das Fundament der Wissenschaft” by Wassilis Aswestopoulos:

https://www.telepolis.de/article/Fake-Studien-Kuenstliche-Intelligenz-gefaehrdet-das-Fundament-der-Wissenschaft-10578895.html

Satyajit Das: AI – Artificial Intelligence or Absolute Insanity?

kitum.elgon@gmail.com (Kitum Elgon) — Sun, 21 Dec 2025 14:52:58 +0100

“Satyajit Das: AI – Artificial Intelligence or Absolute Insanity?” by Yves Smith:

https://www.nakedcapitalism.com/2025/12/satyajit-das-ai-artificial-intelligence-or-absolute-insanity.html

“the scam known as A.I.”

The U.S. Is Betting the Economy on ‘Scaling’ AI: Where Is the Intelligence When One Needs It?

kitum.elgon@gmail.com (Kitum Elgon) — Sat, 13 Dec 2025 14:41:53 +0100

“The U.S. Is Betting the Economy on ‘Scaling’ AI: Where Is the Intelligence WhenOne Needs It” by Yves Smith:

https://www.nakedcapitalism.com/2025/12/the-u-s-is-betting-the-economy-on-scaling-ai-where-is-the-intelligence-when-one-needs-it.html

“The U.S. Is Betting the Economy on ‘Scaling’ AI: Where Is the Intelligence When One Needs It?” by Servaas Storm:

https://www.ineteconomics.org/perspectives/blog/the-u-s-is-betting-the-economy-on-scaling-ai-where-is-the-intelligence-when-one-needs-it

Storm argues the AI data-centre investment boom is creating a bubble that will be socially and financially expensive when it pops.

Is It a Bubble?

kitum.elgon@gmail.com (Kitum Elgon) — Thu, 11 Dec 2025 20:31:29 +0100

“Is It a Bubble?” by Howard Marks:

https://www.oaktreecapital.com/insights/memo/is-it-a-bubble

Wie der neue KI-Hype unsere Infrastruktur, unsere Politik und unseren Verstand überfordert

kitum.elgon@gmail.com (Kitum Elgon) — Tue, 02 Dec 2025 08:43:37 +0100

“Wie der neue KI-Hype unsere Infrastruktur, unsere Politik und unseren Verstand überfordert” by Günther Burbach:

https://www.nachdenkseiten.de/?p=142685

LLMs are a failure. A new AI winter is coming.

kitum.elgon@gmail.com (Kitum Elgon) — Tue, 02 Dec 2025 04:41:42 +0100

“LLMs are a failure. A new AI winter is coming.” by Taranis:

https://taranis.ie/llms-are-a-failure-a-new-ai-winter-is-coming/

discussion at hackernews:

https://news.ycombinator.com/item?id=46109534

AGI is not possible even in 10 years

kitum.elgon@gmail.com (Kitum Elgon) — Fri, 28 Nov 2025 09:56:56 +0100

“AGI is not possible even in 10 years” by MD Zaid Anwar:

https://medium.com/@anwarzaid76/agi-is-not-possible-even-in-10-years-013a1aec0d9c

Executive Order Provides For Bailout Of Overextended AI Companies

kitum.elgon@gmail.com (Kitum Elgon) — Thu, 27 Nov 2025 07:06:42 +0100

“Executive Order Provides For Bailout Of Overextended AI Companies” by Bernhard:

https://www.moonofalabama.org/2025/11/executive-order-provides-for-bailout-of-overextended-ai-companies.html

“A tale of two AI capitalisms” by Gary Marcus:

https://garymarcus.substack.com/p/a-tale-of-two-ai-capitalisms

“Launching the Genesis Mission” by the White House:

https://www.whitehouse.gov/presidential-actions/2025/11/launching-the-genesis-mission/

An Economy of AI Agents

kitum.elgon@gmail.com (Kitum Elgon) — Tue, 25 Nov 2025 12:44:01 +0100

“An Economy of AI Agents” by gillian k. hadfield and andrew koh:

https://arxiv.org/abs/2509.01063

related discussion on hackernews:

https://news.ycombinator.com/item?id=46020096

Chinesische Open-Source-Modelle setzen neue Standards in der KI

kitum.elgon@gmail.com (Kitum Elgon) — Tue, 18 Nov 2025 06:45:46 +0100

“Chinesische Open-Source-Modelle setzen neue Standards in der KI” by Matthias Lindner:

https://www.telepolis.de/article/Chinesische-Open-Source-Modelle-setzen-neue-Standards-in-der-KI-11081732.html

“Nothing Is Given: Of China’s Open-Source Tsunami” by Nilesh Jasani:

https://www.geninnov.ai/blog/nothing-is-given-of-chinas-open-source-tsunami

Who Will End Up Paying for the AI Spending Spree

kitum.elgon@gmail.com (Kitum Elgon) — Thu, 13 Nov 2025 15:14:02 +0100

“Who Will End Up Paying for the AI Spending Spree” by Kurt Cobb:

https://oilprice.com/Energy/Energy-General/Who-Will-End-Up-Paying-for-the-AI-Spending-Spree.html

found on naked-capitalism:

“Who Will End Up Paying for the AI Spending Spree” by Yves Smith:

https://www.nakedcapitalism.com/2025/11/who-will-end-up-paying-for-the-ai-spending-spree.html

AI isn’t replacing jobs - AI spending is

kitum.elgon@gmail.com (Kitum Elgon) — Mon, 10 Nov 2025 06:23:56 +0100

“AI isn’t replacing jobs - AI spending is” by Gary N. Smith:

https://www.fastcompany.com/91435192/chatgpt-llm-openai-jobs-amazon

found on hackernews, discussion:

https://news.ycombinator.com/item?id=45866243

Debt Has Entered the A.I. Boom

kitum.elgon@gmail.com (Kitum Elgon) — Sun, 09 Nov 2025 13:47:39 +0100

“Debt Has Entered the A.I. Boom” by Ian Frisch:

https://www.nytimes.com/2025/11/08/business/dealbook/debt-has-entered-the-ai-boom.html

its behind a paywall =?> copy of the article @ archive.org:

https://archive.ph/m7595

Boomerang hires suggest AI layoffs aren't sticking

kitum.elgon@gmail.com (Kitum Elgon) — Fri, 07 Nov 2025 05:52:10 +0100

“Boomerang hires suggest AI layoffs aren’t sticking” by Madison Mills:

https://www.axios.com/2025/11/04/ai-jobs-layoffs-amazon

ChatGPT chief Sam Altman says AI could eliminate jobs that aren’t ‘real work’ — comments come among mounting evidence of jobs being replaced by AI

kitum.elgon@gmail.com (Kitum Elgon) — Mon, 27 Oct 2025 06:50:14 +0100

“ChatGPT chief Sam Altman says AI could eliminate jobs that aren’t ‘real work’ — comments come among mounting evidence of jobs being replaced by AI” by Luke James:

https://www.tomshardware.com/tech-industry/sam-altman-says-ai-could-eliminate-jobs-that-arent-real-work

AI has a cargo cult problem

kitum.elgon@gmail.com (Kitum Elgon) — Sat, 18 Oct 2025 10:13:33 +0200

“AI has a cargo cult problem” by Gillian Tett:

https://www.ft.com/content/f2025ac7-a71f-464f-a3a6-1e39c98612c7

read an archived copy of the articles @ archive.org:

https://archive.ph/RVTHE

article-related discussion @ hackernews:

https://news.ycombinator.com/item?id=45618350

KI-Agenten: Vom digitalen Helfer zum autonomen Entscheider

kitum.elgon@gmail.com (Kitum Elgon) — Thu, 16 Oct 2025 14:45:12 +0200

“KI-Agenten: Vom digitalen Helfer zum autonomen Entscheider” by Marcus Schwarzbach:

https://www.telepolis.de/features/KI-Agenten-Vom-digitalen-Helfer-zum-autonomen-Entscheider-10752258.html

“So nutzen Unternehmen Künstliche Intelligenz – drei Anwendungsfälle” by Camilo Huinca:

https://www.capital.de/karriere/kuenstliche-intelligenz–so-setzen-drei-unternehmen-ki-ein-35903866.html

The AI Bubble and the U.S. Economy: How Long Do “Hallucinations” Last?

kitum.elgon@gmail.com (Kitum Elgon) — Tue, 07 Oct 2025 06:57:17 +0200

“The AI Bubble and the U.S. Economy: How Long Do “Hallucinations” Last? " by Servaas Storm:

https://www.ineteconomics.org/perspectives/blog/the-ai-bubble-and-the-u-s-economy-how-long-do-hallucinations-last

The AI Bubble and the U.S. Economy: How Long Do “Hallucinations” Last?

https://www.nakedcapitalism.com/2025/10/the-ai-bubble-and-the-u-s-economy-how-long-do-hallucinations-last.html

AI Makes Past Hype Cycles Look Tame

kitum.elgon@gmail.com (Kitum Elgon) — Wed, 01 Oct 2025 17:14:15 +0200

“AI Makes Past Hype Cycles Look Tame” : PitchBook on the Stunning Venture Capital Mania for AI by Yves Smith:

https://www.nakedcapitalism.com/2025/10/ai-makes-past-hype-cycles-look-tame-pitchbook-on-the-stunning-venture-capital-mania-for-ai.html

“Quantitative Perspectives: A Fork in the Road” from #PitchBook:

https://pitchbook.com/news/reports/q3-2025-quantitative-perspectives-a-fork-in-the-road

“AI Makes Past Hype Cycles Look Tame”: PitchBook on the Stunning Venture Capital Mania for AI by Wolf Richter:

https://wolfstreet.com/2025/09/30/ai-makes-past-hype-cycles-look-tame-pitchbook-on-the-stunning-venture-capital-mania-for-ai/

Datenschutz - Im KI-Rausch plötzlich zweitrangig

kitum.elgon@gmail.com (Kitum Elgon) — Fri, 19 Sep 2025 06:16:15 +0200

“Datenschutz - Im KI-Rausch plötzlich zweitrangig” by Marcus Schwarzbach:

https://www.telepolis.de/features/Datenschutz-Im-KI-Rausch-ploetzlich-zweitrangig-10646933.html

Peak bubble - It’s hard to see how this won’t end badly

kitum.elgon@gmail.com (Kitum Elgon) — Tue, 16 Sep 2025 12:14:32 +0200

“Peak bubble - It’s hard to see how this won’t end badly” by Gary Marcus:

https://garymarcus.substack.com/p/peak-bubble

“A.I. Valuations Reach La La Land” by b:

https://www.moonofalabama.org/2025/09/ai-valuations-reach-la-la-land-1.html

Wird KI zur Kostenfalle für Ihr Unternehmen

kitum.elgon@gmail.com (Kitum Elgon) — Wed, 27 Aug 2025 17:00:32 +0200

“Wird KI zur Kostenfalle für Ihr Unternehmen” by Marcus Schwarzbach:

https://www.telepolis.de/features/Wird-KI-zur-Kostenfalle-fuer-Ihr-Unternehmen-10622245.html

AI Is a Mass-Delusion Event

kitum.elgon@gmail.com (Kitum Elgon) — Tue, 19 Aug 2025 16:16:04 +0200

“AI Is a Mass-Delusion Event” by Charlie Warzel:

https://www.theatlantic.com/technology/archive/2025/08/ai-mass-delusion-event/683909/

article is behing a paywall ~ either switch off javascript or use an archived version instead:

https://archive.is/YWwHd

discussion at lobste.rs:

https://lobste.rs/s/y7gw78/ai_is_mass_delusion_event

Künstliche Intelligenz verändert Arbeitswelt: Droht die permanente Überforderung

kitum.elgon@gmail.com (Kitum Elgon) — Fri, 15 Aug 2025 07:10:10 +0200

“Künstliche Intelligenz verändert Arbeitswelt: Droht die permanente Überforderung” by Marcel Kunzmann:

https://www.telepolis.de/features/Kuenstliche-Intelligenz-veraendert-Arbeitswelt-Droht-die-permanente-Ueberforderung-10518289.html

How AI Conquered the US Economy: A Visual FAQ

kitum.elgon@gmail.com (Kitum Elgon) — Thu, 07 Aug 2025 18:41:29 +0200

“How AI Conquered the US Economy: A Visual FAQ” by Derek Thompson:

https://www.derekthompson.org/p/how-ai-conquered-the-us-economy-a

related discussion on hackernew:

https://news.ycombinator.com/item?id=44822665

Hubert Horan: Can Airlines Get Passengers to Accept AI-Driven Personalized/Surveillance Pricing?

kitum.elgon@gmail.com (Kitum Elgon) — Sun, 03 Aug 2025 08:18:35 +0200

“Hubert Horan: Can Airlines Get Passengers to Accept AI-Driven Personalized/Surveillance Pricing” by Yves Smith:

https://www.nakedcapitalism.com/2025/07/hubert-horan-can-airlines-get-passengers-to-accept-ai-driven-personalized-surveillance-pricing.html

Godfather of AI warns governments to collaborate before its too late

kitum.elgon@gmail.com (Kitum Elgon) — Mon, 28 Jul 2025 07:32:01 +0200

“Godfather of AI warns governments to collaborate before its too late”:

https://www.rt.com/news/622065-godfather-ai-warns-governments/

2025 World Artificial Intelligence Conference Kicks Off in Shanghai:

https://www.geopolitechs.org/p/2025-world-artificial-intelligence

Ex-OpenAI Scientist WARNS: You Have No Idea Whats Coming

kitum.elgon@gmail.com (Kitum Elgon) — Thu, 24 Jul 2025 18:37:45 +0200

“Ex-OpenAI Scientist WARNS: You Have No Idea Whats Coming” by AI upload:

A channel dedicated to inspiring and informing everyone on the advancing technological revolution of Artificial Intelligence.

https://www.youtube.com/@AIUpload

direct link to the video on youtube:

https://www.youtube.com/watch?v=79-bApI3GIU

video of the talk @ youtube:

Pluralistic: How much are the AI companies making

kitum.elgon@gmail.com (Kitum Elgon) — Sun, 20 Jul 2025 12:23:02 +0200

“Pluralistic: How much are the AI companies making” by Cory Doctorow:

https://pluralistic.net/2025/06/30/accounting-gaffs/#artificial-income

At last, a use case for AI agents with sky-high ROI: Stealing crypto

kitum.elgon@gmail.com (Kitum Elgon) — Thu, 10 Jul 2025 19:05:49 +0200

“At last, a use case for AI agents with sky-high ROI: Stealing crypto” by Thomas Claburn:

https://www.theregister.com/2025/07/10/ai_agents_automatically_steal_cryptocurrency/

AGI is Mathematically Impossible 2 - When Entropy Returns

kitum.elgon@gmail.com (Kitum Elgon) — Tue, 24 Jun 2025 08:19:21 +0200

“AGI is Mathematically Impossible 2 - When Entropy Returns” by Max M. Schlereth:

https://philarchive.org/archive/SCHAIM-14

“AGI is Impossible. Here is the Proof” by Max M. Schlereth:

https://philpapers.org/archive/SCHAII-17.pdf

paper: “The Illusion of Thinking: Understanding the Strengths and Limitations of Reasoning Models via the Lens of Problem Complexity” by Parshin Shojaee, Iman Mirzadeh, Keivan Alizadeh, Maxwell Horton, Samy Bengio, Mehrdad Farajtabar:

https://machinelearning.apple.com/research/illusion-of-thinking

The Dream of a Gentle Singularity

kitum.elgon@gmail.com (Kitum Elgon) — Sat, 14 Jun 2025 06:51:13 +0200

“The Dream of a Gentle Singularity” by TheZvi:

https://thezvi.wordpress.com/2025/06/11/the-dream-of-a-gentle-singularity/#more-24509

“The Gentle Singularity” by Sam Altman:

https://blog.samaltman.com/the-gentle-singularity

Do AI Models Think?

kitum.elgon@gmail.com (Kitum Elgon) — Fri, 13 Jun 2025 17:11:14 +0200

“Do AI Models Think?” by Thomas Neuburger:

https://neuburger.substack.com/p/do-ai-models-think

“AI can’t solve a problem that hasn’t been previously solved”

found on naked-capitalism, “Do AI Models Think?”

https://www.nakedcapitalism.com/2025/06/do-ai-models-think.html

“The Illusion of Thinking: Understanding the Strengths and Limitations of Reasoning Models via the Lens of Problem Complexity” by Parshin Shojaee, Maxwell Horton, Iman Mirzadeh, Keivan Alizadeh, Samy Bengio, Mehrdad Farajtabar from apples machine learning research department:

https://ml-site.cdn-apple.com/papers/the-illusion-of-thinking.pdf

video of the talk @ youtube:

Opinion: A Culture War is Brewing Over Moral Concern for AI

kitum.elgon@gmail.com (Kitum Elgon) — Mon, 09 Jun 2025 17:47:48 +0200

“Opinion: A Culture War is Brewing Over Moral Concern for AI” by :

https://undark.org/2025/06/05/opinion-ai-emotion-morals/

from

https://www.nakedcapitalism.com/2025/06/a-culture-war-is-brewing-over-moral-concern-for-ai.html

Was entscheiden Algorithmen – und wer kontrolliert das?

kitum.elgon@gmail.com (Kitum Elgon) — Thu, 29 May 2025 06:10:27 +0200

Dossier: “[Vom ADM-Manifest zum KI-Gesetz] Was entscheiden Algorithmen – und wer kontrolliert das?” by LabourNet Germany:

https://www.labournet.de/politik/alltag/arbed/arbed-all/adm-manifest-was-entscheiden-algorithmen-und-wer-kontrolliert-das/

Chatbots: Die große Enttäuschung in der Arbeitswelt

kitum.elgon@gmail.com (Kitum Elgon) — Wed, 28 May 2025 07:09:57 +0200

“Chatbots: Die große Enttäuschung in der Arbeitswelt” by Marcus Schwarzbach:

https://www.telepolis.de/features/Chatbots-Die-grosse-Enttaeuschung-in-der-Arbeitswelt-10417721.html

Paper “Large Language Models, Small Labor Market Effects”, University of Chicago, Becker Friedman Institute for Economics Working Paper No. 2025-56, by Anders Humlum & Emilie Vestergaard:

https://papers.ssrn.com/sol3/papers.cfm?abstract_id=5219933

“Ernüchternde Studie: KI verändert Arbeitswelt bisher kaum – das ist der Grund” by Marvin Fuhrmann:

https://t3n.de/news/studie-ki-arbeitswelt-veraenderung-1685008/

Trying to teach in the age of the AI homework machine

kitum.elgon@gmail.com (Kitum Elgon) — Tue, 27 May 2025 11:39:56 +0200

“Trying to teach in the age of the AI homework machine” by ADH:

https://www.solarshades.club/p/dispatch-from-the-trenches-of-the

“The Case for the Butlerian Jihad” by ADH:

https://www.solarshades.club/p/the-case-for-the-butlerian-jihad

Why AI’s Progress Might Destroy Its Own Future

kitum.elgon@gmail.com (Kitum Elgon) — Tue, 20 May 2025 16:36:07 +0200

“Why AI’s Progress Might Destroy Its Own Future” by Undecided with Matt Ferrell:

https://www.youtube.com/watch?v=hBfhd88DCZA

video of the talk @ youtube:

Neal Stephenson: Remarks on AI from NZ

kitum.elgon@gmail.com (Kitum Elgon) — Tue, 20 May 2025 09:37:21 +0200

“Remarks on AI from NZ” by Neal Stephenson:

https://nealstephenson.substack.com/p/remarks-on-ai-from-nz

Predictive Policing AI Is on the Rise − Making It Accountable to the Public Could Curb Its Harmful Effects

kitum.elgon@gmail.com (Kitum Elgon) — Thu, 15 May 2025 15:57:15 +0200

“Predictive Policing AI Is on the Rise − Making It Accountable to the Public Could Curb Its Harmful Effects” by Yves Smith:

https://www.nakedcapitalism.com/2025/05/predictive-policing-ai-is-on-the-rise-%e2%88%92-making-it-accountable-to-the-public-could-curb-its-harmful-effects.html

“Predictive policing AI is on the rise − making it accountable to the public could curb its harmful effects” by Maria Lungu:

https://theconversation.com/predictive-policing-ai-is-on-the-rise-making-it-accountable-to-the-public-could-curb-its-harmful-effects-254185

In 2025, venture capital can’t pretend everything is fine any more

kitum.elgon@gmail.com (Kitum Elgon) — Mon, 12 May 2025 10:31:05 +0200

“Everything that isn’t AI is moribund”

“In 2025, venture capital can’t pretend everything is fine any more” by David Gerard:

https://pivot-to-ai.com/2025/05/03/in-2025-venture-capital-cant-pretend-everything-is-fine-any-more/

video version @ youtube:

“Venture capital is having a bad time — and AI isn’t going to fix it” by Amy and DavidAmy and David:

https://pivot-to-ai.com/2024/10/21/venture-capital-is-having-a-bad-time-and-ai-isnt-going-to-fix-it/

“Here are the 19 US AI startups that have raised $100M or more in 2025” by Rebecca Szkutak:

https://techcrunch.com/2025/04/23/here-are-the-19-us-ai-startups-that-have-raised-100m-or-more-in-2025/

how AI will develop in the forseeable future

kitum.elgon@gmail.com (Kitum Elgon) — Wed, 07 May 2025 18:28:58 +0200

“how AI will develop in the forseeable future” by DeepSeek R1 Distill Qwen 7B:

how will ai develop in the forseeable future?

<think>Okay, so I’m trying to understand how AI is going to evolve in the near future. I know that AI has come a long way since I was last in school, but I’m curious about what’s next. Let me think through this step by step.

First, I guess AI right now includes things like machine learning and deep learning models. These can perform tasks like image recognition, natural language processing, and even some decision-making. But there are limits to that. They’re still reliant on large datasets and require a lot of computational power. So, what’s going to change?

Maybe in the future, AI systems will become more autonomous? I mean, right now we have to train them with labeled data, but maybe in the future, they can figure things out on their own without needing that initial training dataset. That sounds like it could make AI easier to use for people who don’t know how to label data or set up models.

Another thing is interpretability. Right now, AI systems, especially deep learning models, are often called “black boxes” because it’s hard to understand what decisions they’re making. In the future, maybe we’ll have better tools to explain why an AI made a certain decision, which could be important for trust and debugging.

Scalability is also a concern. As AI becomes more complex, doable models might become too big or too slow? I’ve heard about things like neural architecture search, where the system automatically finds the best model structure. Maybe that will make it easier to scale AI solutions without needing experts to design them manually.

Another point is ethics and bias in AI systems. As AI becomes more integrated into society, there’s a need for better mechanisms to detect and correct biases so that decisions are fairer and more equitable. That could involve things like automated bias detection tools or integrating fairness constraints into the training process of models.

AI safety is also something I’ve heard about. How do we ensure that AI systems behave in ways aligned with human values? Maybe through techniques like value alignment, where AI systems have explicit objectives defined by humans to guide their behavior and prevent unintended outcomes.

Collaboration between different fields might drive innovation too. AI isn’t just limited to computer science; it can be applied in healthcare, finance, urban planning, etc. By combining AI with other disciplines, new solutions could emerge that were previously unimaginable.

Another trend could be the use of quantum computing alongside classical computers for specific tasks like optimization or simulations. Quantum machine learning might open up entirely new possibilities where traditional ML approaches fall short due to their exponential growth requirements relative to data size and complexity.

There’s also something about general AI versus narrow AI. Right now, AI is mostly narrow, performing specific tasks well but lacking general intelligence. The development of more advanced algorithms that can handle a broader range of tasks might lead us closer to true general AI capable of thinking, learning, and adapting like humans.

Global collaboration seems important too. AI development has been somewhat isolated due to competition among major tech companies. If we have more collaborative efforts across industries and regions, there could be faster innovation cycles and more diverse approaches to solving problems globally.

Sustainability is another factor. As AI becomes more powerful, energy consumption might increase. Developing sustainable AI practices, including optimizing models for efficiency and ethical considerations, would become essential to ensure long-term viability without environmental harm.

Education and accessibility are also areas of consideration. If AI systems require custom solutions or specialized knowledge to be effective, making AI tools easier to use and understand could expand their applications across various fields where expertise is limited.

Lastly, there’s the aspect of human-AI collaboration. Instead of relying solely on AI for decision-making, combining it with human intuition and creativity might lead to better outcomes by leveraging both strengths effectively.

Overall, while AI has come a long way, there are still many unknowns about its future trajectory. The combination of technical advancements, ethical considerations, interdisciplinary collaboration, and societal impact will likely shape how AI evolves in the coming years.</think>

The future of AI is poised for significant advancements across multiple dimensions:

Autonomous Learning: AI systems may become more autonomous, capable of learning and adapting without extensive initial training datasets.
Interpretability Enhancements: Efforts will focus on making AI decisions more transparent, allowing users to understand how models reach their conclusions.
Scalability Improvements: Techniques like neural architecture search will automate model design, enabling efficient scaling of AI solutions without manual intervention.
Bias Mitigation and Fairness: Enhanced mechanisms for detecting and correcting biases in AI systems will ensure fairer decision-making processes.
AI Safety: Advances in aligning AI objectives with human values will prevent unintended outcomes, ensuring AI behavior is ethical and aligned with human expectations.
Interdisciplinary Collaboration: Integration of AI across diverse fields such as healthcare, finance, and urban planning will drive innovative solutions through collaborative efforts.
Quantum Computing Synergy: The use of quantum computing alongside classical computers will leverage new capabilities for optimization and simulations, expanding the scope of problems AI can solve.
General AI Progress: Development of more advanced algorithms may move AI closer to achieving general intelligence, capable of thinking, learning, and adapting like humans.
Global Collaboration: Increased international cooperation in AI development will foster faster innovation cycles and diverse approaches to problem-solving globally.
Sustainability in AI: Efforts will focus on creating energy-efficient AI models and ethical practices to ensure long-term viability without environmental impact.
Education and Accessibility: Simplification of AI tools will expand their applications across various fields, making advanced technologies accessible to a broader audience.
Human-AI Synergy: Collaboration between humans and AI will enhance decision-making by combining human intuition with machine capabilities.

In summary, the future of AI is expected to be marked by technical breakthroughs, ethical considerations, interdisciplinary collaboration, and societal impact, leading to transformative applications that benefit humanity as a whole.

Five Hinge‑Questions That Decide Whether AGI Is Five Years Away or Twenty

kitum.elgon@gmail.com (Kitum Elgon) — Tue, 06 May 2025 21:18:57 +0200

“Five Hinge‑Questions That Decide Whether AGI Is Five Years Away or Twenty” by charlieoneill:

https://www.lesswrong.com/posts/45oxYwysFiqwfKCcN/untitled-draft-keg3

AI Energy Demand Can Keep Fossil Fuels Alive, Tech Backers Promise World’s Two Biggest Oil Producers

kitum.elgon@gmail.com (Kitum Elgon) — Sat, 26 Apr 2025 07:05:51 +0200

“AI Energy Demand Can Keep Fossil Fuels Alive, Tech Backers Promise World’s Two Biggest Oil Producers” by Sharon Kelly and Bailey Chambers:

https://www.desmog.com/2025/04/22/ai-energy-demand-can-keep-fossil-fuels-alive-tech-backers-promise-worlds-two-biggest-oil-producers/

found on naked-capitalism:

https://www.nakedcapitalism.com/2025/04/ai-energy-demand-can-keep-fossil-fuels-alive-tech-backers-promise-worlds-two-biggest-oil-producers.html

ChatGPT schauspielert am besten

kitum.elgon@gmail.com (Kitum Elgon) — Tue, 22 Apr 2025 12:32:55 +0200

“ChatGPT schauspielert am besten” by Uwe Kerkow:

“ChatGPT hat gerade den Turing-Test bestanden.”

https://www.telepolis.de/features/ChatGPT-schauspielert-am-besten-10356923.html

Die große Simulation – Wie uns Künstliche Intelligenz, Medien und Regierung auf Krieg polen

kitum.elgon@gmail.com (Kitum Elgon) — Mon, 14 Apr 2025 17:13:11 +0200

“Die große Simulation – Wie uns Künstliche Intelligenz, Medien und Regierung auf Krieg polen” by :

https://www.nachdenkseiten.de/?p=131510

KI-Revolution: Die Prophezeiungen von Bill Gates

kitum.elgon@gmail.com (Kitum Elgon) — Sun, 06 Apr 2025 07:54:33 +0200

“KI-Revolution: Die Prophezeiungen von Bill Gates” by Matthias Weik:

https://www.telepolis.de/features/KI-Revolution-Die-Prophezeiungen-von-Bill-Gates-10341713.html

“Bill Gates on AI and Innovation” by Olivia Farrar:

https://www.harvardmagazine.com/2025/02/harvard-bill-gates-ai-and-innovation

“My favorite book on AI” by Bill Gates:https://www.gatesnotes.com/the-coming-wave

the book:

“The coming wave” by Mustafa Suleyman:

https://the-coming-wave.com/

AI ambivalence

kitum.elgon@gmail.com (Kitum Elgon) — Thu, 03 Apr 2025 19:00:27 +0200

“AI ambivalence” by Nolan Lawson:

https://nolanlawson.com/2025/04/02/ai-ambivalence/

“Revenge of the junior developer” by Steve Yegge:

https://sourcegraph.com/blog/revenge-of-the-junior-developer

honorable mentioning of the following paper from 2021:

“On the Dangers of Stochastic Parrots: Can Language Models Be Too Big?” by Emily M. Bender, Timnit Gebru, Angelina McMillan-Major, Shmargaret Shmitchell:

https://dl.acm.org/doi/10.1145/3442188.3445922

DeepSeek R1 about the influence of AI on economy

kitum.elgon@gmail.com (Kitum Elgon) — Wed, 26 Mar 2025 13:13:04 +0100

“DeepSeek R1 about the influence of AI on economy” by deepseek-r1:7b

what will be the future effects of AI on the economy and society?

<think>Okay, so I need to figure out what might happen to the economy and society in the long run because of AI. Hmm…Well, AI is going to change a lot of things we do every day, right? Like, robots can do our work for us, or at least help us do it better. That makes me think about jobs and unemployment. But wait, not all jobs are created equal with AI.

Maybe some industries will disappear because machines can handle tasks that require repetitive work. For example, assembly lines in factories might be replaced by robots instead of human workers. But then, other jobs that involve creativity or personal interaction could rise in demand. Like, people still need someone to create art or write stories, so maybe there will still be a need for creative professionals even with AI around.

I also wonder about the economy’s growth. If businesses rely on automation, does that mean slower economic expansion? Or maybe it leads to higher productivity and efficiency, which could boost overall economic output. I’m not sure yet.

Then there are the societal implications. Privacy is a big concern. With AI collecting and analyzing data so much, how will individuals protect their privacy? Plus, bias in AI systems could perpetuate existing social inequalities if certain groups aren’t represented enough in training datasets.

Ethically, there’s also the issue of job displacement versus increased opportunities for those who adapt to these changes. Some people might lose their jobs because AI takes over routine tasks, but others might gain new skills and find better employment through learning how to work with AI systems or create content for them.

Culturally, AI could change how we interact and consume media. For instance, virtual assistants like Siri or Alexa are already part of our daily lives, helping us with tasks like sending emails, setting reminders, or even assisting with decision-making. As AI becomes more advanced, it might become a significant part of our social interactions.

Global cooperation will likely be important in managing the challenges and opportunities that come with AI.Different countries might have varying levels of integration into AI systems, so working together to ensure fair access and regulation could be crucial.

Long-term economic stability is another concern. If too many workers lose their jobs due to automation, it could lead to social unrest or economic decline. Therefore, promoting workforce adaptability and providing education for AI-related fields might help mitigate these risks.

In summary, while AI offers significant opportunities in efficiency and access to information, it also poses challenges related to job displacement, privacy, bias, and ethical considerations. Addressing these issues thoughtfully will be key to ensuring a positive future with AI integration.</think>

Impact of AI on the Economy and Society: A Comprehensive Overview

1. Job Displacement and Economic Shifts

Automation and Routine Tasks: AI can automate repetitive tasks across various industries, potentially leading to job displacement in sectors like manufacturing and customer service.
Creative and Skill-Based Industries: Conversely, fields requiring creativity, such as art, writing, and design, may experience growth as demand for human expertise increases.

2. Economic Growth and Productivity

Increased Efficiency: AI can enhance productivity by optimizing processes and analyzing data in real-time, potentially leading to economic growth through higher output.
Dynamic Market Adaptation: Businesses using AI tools may quickly adapt to market changes, giving them a competitive edge and fostering innovation.

3. Societal Considerations

Privacy Concerns: The extensive data collection by AI raises privacy issues, necessitating robust regulations to protect individual information.
Bias and Fairness: Existing biases in datasets can lead to discriminatory AI systems, highlighting the importance of diverse training data to ensure fairness.

4. Ethical and Social Implications

Balancing Automation and Opportunity: While AI may displace workers in some roles, it creates new opportunities for those who adapt, such as through enhanced skills or career paths involving AI development.
Cultural Transformations: AI’s role in daily life can influence cultural dynamics, from virtual assistants to more immersive AI interactions, reshaping social norms and relationships.

5. Global Collaboration

Regulatory Frameworks: Effective governance of AI requires international cooperation to ensure equitable access, ethical standards, and data privacy across borders.

6. Long-term Stability and Planning

Workforce Adaptability: To mitigate potential economic instability from job displacement, fostering adaptability and providing educational opportunities for emerging AI fields is crucial.
Policy and Education: Proactive policies supporting workforce development and investing in AI-related education can help ensure a stable transition to an AI-driven economy.

In conclusion, AI presents both challenges and opportunities. While it holds the potential to revolutionize industries and improve quality of life through increased efficiency and access to information, it also raises significant concerns about job displacement, privacy, bias, and ethical considerations. Addressing these issues requires thoughtful planning, global collaboration, and a commitment to balancing technological advancement with societal well-being.

Most AI value will come from broad automation, not from R&D

kitum.elgon@gmail.com (Kitum Elgon) — Mon, 24 Mar 2025 06:15:13 +0100

“Most AI value will come from broad automation, not from R&D” by Ege Erdil and Matthew Barnett:

https://epoch.ai/gradient-updates/most-ai-value-will-come-from-broad-automation-not-from-r-d

“Machines of Loving Grace: How AI Could Transform the World for the Better” by Dario Amodei:

https://darioamodei.com/machines-of-loving-grace

“AI will affect the whole world … It’s going to change everything” by Demis Hassabis:

https://www.thetimes.com/life-style/celebrity/article/demis-hassabis-ai-could-cure-all-diseases-in-10-years-09pcqh7cb

“Three Observations” by Sam Altman:

https://blog.samaltman.com/three-observations

The Bitter Lesson: Rethinking How We Build AI Systems

kitum.elgon@gmail.com (Kitum Elgon) — Sun, 23 Mar 2025 19:00:50 +0100

“The Bitter Lesson: Rethinking How We Build AI Systems” by Ankit Maloo:

https://ankitmaloo.com/bitter-lesson/

“The Bitter Lesson” by Rich Sutton, March 13, 2019:

“general methods that leverage computation are ultimately the most effective […] the only thing that matters in the long run is the leveraging of computation”

https://www.cs.utexas.edu/~eunsol/courses/data/bitter_lesson.pdf

No one knows what the hell an AI agent is

kitum.elgon@gmail.com (Kitum Elgon) — Wed, 19 Mar 2025 19:29:19 +0100

“No one knows what the hell an AI agent is” by Maxwell Zeff and Kyle Wiggers:

https://techcrunch.com/2025/03/14/no-one-knows-what-the-hell-an-ai-agent-is/

“What exactly is an AI agent?” by Ron Miller:

https://techcrunch.com/2024/12/15/what-exactly-is-an-ai-agent/

Larry Ellison’s Dark Vision for OUR Future

kitum.elgon@gmail.com (Kitum Elgon) — Wed, 26 Feb 2025 15:13:29 +0100

“Larry Ellison’s Dark Vision for OUR Future” by :

https://www.nakedcapitalism.com/2025/02/larry-ellisons-dark-designs-for-the-united-states-and-the-united-kingdom.html

“Tony Blair and Larry Ellison on reimagining technology for government”:

Is AI the most important discovery in the hoistory of humankind?

https://www.youtube.com/watch?v=lIYIKpvFQOM

video of the talk @ youtube:

Reflections on AGI from 1879

kitum.elgon@gmail.com (Kitum Elgon) — Wed, 19 Feb 2025 16:50:25 +0100

“Reflections on AGI from 1879” by Harry Law:

https://www.learningfromexamples.com/p/reflections-on-superintelligence

Book “Impressions of Theophrastus Such” by George Eliot aka. Mary Ann Evans:

https://www.gutenberg.org/ebooks/10762

AI's human-in-the-loop isn't

kitum.elgon@gmail.com (Kitum Elgon) — Sun, 16 Feb 2025 13:33:51 +0100

“AI’s human-in-the-loop isn’t” by Cory Doctorow:

https://pluralistic.net/2024/10/30/a-neck-in-a-noose/#is-also-a-human-in-the-loop

“KI: Vertrauen in den Menschen – oder ein gefährlicher Irrglaube?” by Andreas von Westphalen:

https://www.telepolis.de/features/KI-Vertrauen-in-den-Menschen-oder-ein-gefaehrlicher-Irrglaube-10282781.html

L’IA contre les droits humains, sociaux et environnementaux

kitum.elgon@gmail.com (Kitum Elgon) — Tue, 11 Feb 2025 15:24:10 +0100

“L’IA contre les droits humains, sociaux et environnementaux” by a coalition of a diverse range of French civil society organizations:

https://hiatus.ooo/

“Launch of the Hiatus Coalition, to Resist AI and its World” an english translation of the hiatus-manifest:

https://www.laquadrature.net/en/2025/02/07/launch-of-the-hiatus-coalition-to-resist-ai-and-its-world/

The Open Source AI Definition – 1.0

kitum.elgon@gmail.com (Kitum Elgon) — Sat, 08 Feb 2025 12:58:55 +0100

“The Open Source AI Definition – 1.0” by the Open Source Initiative:

https://opensource.org/ai/open-source-ai-definition

“The best open-source AI models: All your free-to-use options explained” by Jason Perlow:

https://www.zdnet.com/article/the-best-open-source-ai-models-all-your-free-to-use-options-explained/

Demokratie in Gefahr: Vier Schritte gegen KI-Missbrauch

kitum.elgon@gmail.com (Kitum Elgon) — Fri, 07 Feb 2025 20:21:03 +0100

“Demokratie in Gefahr: Vier Schritte gegen KI-Missbrauch” by Bernd Müller:

https://www.telepolis.de/features/Demokratie-in-Gefahr-Vier-Schritte-gegen-KI-Missbrauch-10270587.html

“AI in the Ballot Box” by Catherine Régis, Florian Martin-Bariteau, Jake Okechukwu Effoduh, Juan David Gutiérrez, Gina Neff, Carlos Affonso Souza and Célia Zolynski Four Actions to Safeguard Election Integrity and Uphold Democracy:

https://www.uottawa.ca/research-innovation/sites/g/files/bhrskd326/files/2025-02/gpb-ai_ai_and_elections.pdf

Four Actions to Safeguard Election Integrity and Uphold Democracy

Governments should update electoral rules
Parties should adopt a code of conduct as a starting point for taking responsibility for political behaviour in the age of AI
Electoral authorities should put an independent cross-functional team in charge of preventing and responding to electoral disruptions caused by AI
Governments should establish International AI Electoral Trustkeepers and international protocols for mutual legal assistance in case of AI-related electoral interference

Planning for Extreme AI Risks

kitum.elgon@gmail.com (Kitum Elgon) — Wed, 05 Feb 2025 06:58:40 +0100

“Planning for Extreme AI Risks” by Josh Clymer:

https://www.alignmentforum.org/posts/8vgi3fBWPFDLBBcAx/planning-for-extreme-ai-risks

found on lesswrong.com:

https://www.lesswrong.com/posts/8vgi3fBWPFDLBBcAx/planning-for-extreme-ai-risks

“Views on when AGI comes and on strategy to reduce existential risk” by Tsvi Benson-Tilsen:

https://www.alignmentforum.org/posts/sTDfraZab47KiRMmT/views-on-when-agi-comes-and-on-strategy-to-reduce

and at lesswrong.com:

https://www.lesswrong.com/posts/sTDfraZab47KiRMmT/views-on-when-agi-comes-and-on-strategy-to-reduce

Gradual Disempowerment: Systemic Existential Risks from Incremental AI Development

kitum.elgon@gmail.com (Kitum Elgon) — Sat, 01 Feb 2025 09:07:28 +0100

“Gradual Disempowerment: Systemic Existential Risks from Incremental AI Development” by Jan Kulveit, Raymond Douglas, Nora Ammann, Deger Turan, David Krueger, David Duvenaud:

https://gradual-disempowerment.ai/

full version @ arxiv-org:

https://arxiv.org/abs/2501.16946

Game-Changer DeepSeek: Herausforderung für die westliche Militärdominanz

kitum.elgon@gmail.com (Kitum Elgon) — Fri, 31 Jan 2025 14:41:09 +0100

“Game-Changer DeepSeek: Herausforderung für die westliche Militärdominanz” by Lars Lange:

https://www.telepolis.de/features/Game-Changer-DeepSeek-Herausforderung-fuer-die-westliche-Militaerdominanz-10265824.html

The Bogus Justification for AI Uptake and the Real Reason for the Scam

kitum.elgon@gmail.com (Kitum Elgon) — Thu, 30 Jan 2025 15:41:52 +0100

“The Bogus Justification for AI Uptake and the Real Reason for the Scam” by Yves Smith:

https://www.nakedcapitalism.com/2025/01/the-bogus-justification-for-ai-uptake-and-the-real-reason-for-the-scam.html

“Cringley on How the Bogus Shareholder Value Theory is Wrecking the Computer Industry (and America Generally)”:

https://www.nakedcapitalism.com/2015/06/cringley-on-how-bogus-shareholder-value-theory-is-wrecking-the-computer-industry-and-america-generally.html

DeepSeek R1: Chinas Antwort auf OpenAI übertrifft alle Erwartungen

kitum.elgon@gmail.com (Kitum Elgon) — Mon, 27 Jan 2025 18:26:47 +0100

“DeepSeek R1: Chinas Antwort auf OpenAI übertrifft alle Erwartungen” by Marcel Kunzmann:

https://www.telepolis.de/features/DeepSeek-R1-Chinas-Antwort-auf-OpenAI-uebertrifft-alle-Erwartungen-10252384.html

“DeepSeek: Chinas Sputnik-Moment” by Marcel Kunzmann:

https://www.telepolis.de/features/DeepSeek-Chinas-Sputnik-Moment-10257482.html

“DeepSeek erschüttert Bitcoin und Krypto-Markt” by Bernd Müller:

https://www.telepolis.de/features/DeepSeek-erschuettert-Bitcoin-und-Krypto-Markt-10257887.html

Künstliche Intelligenz: Wird die EU zum Innovationskiller?

kitum.elgon@gmail.com (Kitum Elgon) — Wed, 22 Jan 2025 11:26:18 +0100

“Künstliche Intelligenz: Wird die EU zum Innovationskiller?” by Marcus Schwarzbach:

https://www.telepolis.de/features/Kuenstliche-Intelligenz-Wird-die-EU-zum-Innovationskiller-10247902.html

Digitale Mauer durch Europa: USA spaltet EU mit KI-Chip-Politik

https://www.telepolis.de/features/Digitale-Mauer-durch-Europa-USA-spaltet-EU-mit-KI-Chip-Politik-10250972.html

KI im Bildungssystem: Vom Tabu zum Erfolgsrezept?

https://www.telepolis.de/features/KI-im-Bildungssystem-Vom-Tabu-zum-Erfolgsrezept-10251222.html

AI founders will learn The Bitter Lesson

kitum.elgon@gmail.com (Kitum Elgon) — Sun, 12 Jan 2025 16:02:10 +0100

“AI founders will learn The Bitter Lesson” by Lukas Petersson:

https://lukaspetersson.com/blog/2025/bitter-vertical/

What Has Happened to Our Grand Experiment, the Internet?

kitum.elgon@gmail.com (Kitum Elgon) — Thu, 09 Jan 2025 13:11:58 +0100

“What Has Happened to Our Grand Experiment, the Internet?” by Tom Valovic:

https://www.commondreams.org/opinion/whats-happening-to-the-internet

found at naked-capitalism by Yves Smith:

https://www.nakedcapitalism.com/2025/01/what-has-happened-to-our-grand-experiment-the-internet.html

Does current AI represent a dead end?

kitum.elgon@gmail.com (Kitum Elgon) — Fri, 27 Dec 2024 18:27:08 +0100

“Does current AI represent a dead end?” by Professor Eerke Boiten, of Cyber Security at De Montfort University Leicester, explains his belief that current AI should not be used for serious applications:

https://www.bcs.org/articles-opinion-and-research/does-current-ai-represent-a-dead-end/

Wird die KI zum Totengräber der Kreativwirtschaft

kitum.elgon@gmail.com (Kitum Elgon) — Mon, 23 Dec 2024 11:41:33 +0100

“Wird die KI zum Totengräber der Kreativwirtschaft” by Wassilis Aswestopoulos:

https://www.telepolis.de/features/Wird-die-KI-zum-Totengraeber-der-Kreativwirtschaft-10203318.html

“Global economic study shows human creators’ future at risk from generative AI”

https://www.cisac.org/Newsroom/news-releases/global-economic-study-shows-human-creators-future-risk-generative-ai

download the study:

https://members.cisac.org/CisacPortal/cisacDownloadFileSearch.do?docId=47661&lang=en

“ABBA: Björn Ulvaeus macht sich Gedanken über Künstliche Intelligenz”

https://www.amazona.de/community/abba-bjoern-ulvaeus-aeussert-sich-bei-rick-beato-zu-ki/

and an older video about the topic of how AI will influence jobs

“IMF warns artificial intelligence to hit almost 40% of jobs worldwide” by NBC Bay Area:

Is AI progress slowing down? Maybe - but it matters much less than you think.

kitum.elgon@gmail.com (Kitum Elgon) — Sat, 21 Dec 2024 16:25:21 +0100

“Is AI progress slowing down? Maybe - but it matters much less than you think.” by Kelsey Piper:

https://www.vox.com/future-perfect/389997/artificial-intelligence-openai-google-microsoft-chatgpt-progress-scaling

link found in:

“The Year in Computer Science” by Bill Andrews

https://www.quantamagazine.org/the-year-in-computer-science-20241219/

Deutsche Unternehmen bei KI-Umsetzung überfordert

kitum.elgon@gmail.com (Kitum Elgon) — Fri, 20 Dec 2024 17:05:12 +0100

“Deutsche Unternehmen bei KI-Umsetzung überfordert” by Marcus Schwarzbach:

https://www.telepolis.de/features/Deutsche-Unternehmen-bei-KI-Umsetzung-ueberfordert-10214761.html

Unpacking the Financial Incentives for Open Source vs Closed Source Markets

kitum.elgon@gmail.com (Kitum Elgon) — Mon, 09 Dec 2024 17:35:30 +0100

“Unpacking the Financial Incentives for Open Source vs Closed Source Markets” by Devansh:

https://artificialintelligencemadesimple.substack.com/p/unpacking-the-financial-incentives

from the “Artificial Intelligence Made Simple” blog:

https://artificialintelligencemadesimple.substack.com/

Technologist Bruce Schneier on security, society and why we need 'public AI' models

kitum.elgon@gmail.com (Kitum Elgon) — Wed, 04 Dec 2024 13:14:23 +0100

“Technologist Bruce Schneier on security, society and why we need ‘public AI’ models” by Steven Vaughan-Nichols:

https://www.zdnet.com/article/technologist-bruce-schneier-on-security-society-and-why-we-need-public-ai-models/

see also “Schneier on Security”, his own blog:

https://www.schneier.com/

The AI Economist - Taxation policy design via two-level deep multiagent reinforcement learning

kitum.elgon@gmail.com (Kitum Elgon) — Wed, 04 Dec 2024 13:06:52 +0100

“The AI Economist - Taxation policy design via two-level deep multiagent reinforcement learning” by deep multiagent reinforcement learning" by Stephan Zheng, Alexander Trott, Sunil Srinivasa, David C. Parkes and Richard Socher:

Abstract

Artificial intelligence (AI) and reinforcement learning (RL) have improved many areas but are not yet widely adopted in economic policy design, mechanism design, or economics at large. The AI Economist is a two-level, deep RL framework for policy design in which agents and a social planner coadapt. In particular, the AI Economist uses structured curriculum learning to stabilize the challenging two-level, coadaptive learning problem. We validate this framework in the domain of taxation. In one-step economies, the AI Economist recovers the optimal tax policy of economic theory. In spatiotemporal economies, the AI Economist substantially improves both utilitarian social welfare and the trade-off between equality and productivity over baselines. It does so despite emergent tax-gaming strategies while accounting for emergent labor specialization, agent interactions, and behavioral change. These results demonstrate that two-level, deep RL complements economic theory and unlocks an AI-based approach to designing and understanding economic policy.

https://www.science.org/doi/10.1126/sciadv.abk2607

from “Science Advances”, Volume 8|Issue 18|6 May 2022:

https://www.science.org/toc/sciadv/8/18

Artificial Intelligence and the Future of Work

kitum.elgon@gmail.com (Kitum Elgon) — Thu, 28 Nov 2024 07:32:21 +0100

“Artificial Intelligence and the Future of Work”:

https://nap.nationalacademies.org/resource/27644/interactive/

Read the “Artificial Intelligence and the Future of Work” report:

https://nap.nationalacademies.org/catalog/27644/artificial-intelligence-and-the-future-of-work

https://www.nationalacademies.org/our-work/automation-and-the-us-workforce-an-update

AI eats the world

kitum.elgon@gmail.com (Kitum Elgon) — Wed, 27 Nov 2024 11:35:15 +0100

“AI eats the world”, a presentation by Benedict Evans:

https://www.ben-evans.com/presentations

related hackernews discussion:

https://news.ycombinator.com/item?id=42211616

video of the presentation @ youtube:

KI statt Kollegen: Der neue beste Freund im Büro

kitum.elgon@gmail.com (Kitum Elgon) — Mon, 25 Nov 2024 08:04:02 +0100

“KI statt Kollegen: Der neue beste Freund im Büro” by Marcus Schwarzbach:

https://www.telepolis.de/features/KI-statt-Kollegen-Der-neue-beste-Freund-im-Buero-10125747.html

“Wie KI dem sozialen Miteinander am Arbeitsplatz schaden kann”:

https://www.haufe.de/personal/hr-management/wie-ki-dem-sozialen-miteinander-am-arbeitsplatz-schaden-kann_80_636198.html

“Von der Planung bis zur Nachhaltigkeit: die Transformationskraft von KI in der Architektur”

https://www.managementcircle.de/blog/ki-in-der-architektur.html

KI: Wird die Entwicklung von Superintelligenz zum letzten Fehler der Menschheit?

kitum.elgon@gmail.com (Kitum Elgon) — Sun, 17 Nov 2024 17:59:07 +0100

“KI: Wird die Entwicklung von Superintelligenz zum letzten Fehler der Menschheit?” by Andreas von Westphalen:

part #1:

https://www.telepolis.de/features/KI-Wird-die-Entwicklung-von-Superintelligenz-zum-letzten-Fehler-der-Menschheit-10032002.html

part #2:

https://www.telepolis.de/features/Tod-der-Demokratie-durch-kuenstliche-Intelligenz-10031952.html

Interview mit Prof. Karl Hans Bläsius, Professor für Künstliche Intelligenz an der Hochschule Trier und Betreiber der folgenden Webseiten:

“Atomkrieg aus Versehen” by Karl Hans Bläsius:

https://atomkrieg-aus-versehen.de/

“Chancen und Risiken der Künstlichen Intelligenz (KI)” by Karl Hans Bläsius:

https://ki-folgen.de/

Künstliche Intelligenz: Der „EU AI Act“ – Oder das Schaf im Wolfspelz

kitum.elgon@gmail.com (Kitum Elgon) — Sun, 03 Nov 2024 17:46:58 +0100

“Künstliche Intelligenz: Der „EU AI Act“ – Oder das Schaf im Wolfspelz” by Günther Burbach:

https://www.nachdenkseiten.de/?p=124044

Beschreibung des AI Acts und allgemeiner Überblick:

“European approach to artificial intelligence”

https://digital-strategy.ec.europa.eu/en/policies/european-approach-artificial-intelligence

Coordinated Plan on Artificial Intelligence

https://digital-strategy.ec.europa.eu/en/policies/plan-ai

Communication on Fostering a European approach to Artificial Intelligence:

https://digital-strategy.ec.europa.eu/en/library/communication-fostering-european-approach-artificial-intelligence

European Parliament:

https://www.europarl.europa.eu/

Mindless: The Human Condition in the Age of Artificial Intelligence

kitum.elgon@gmail.com (Kitum Elgon) — Sat, 02 Nov 2024 10:20:12 +0100

New book “Mindless: The Human Condition in the Age of Artificial Intelligence” by Robert Skidelsky:

“This sweeping history of humanity’s relationship with machines illuminates how we got here and what happens next, with AI, climate change, and beyond.”

https://otherpress.com/product/mindless-9781590517970/

Interview with the author of the book “Can We Avoid a Franken-Future with AI?” by Lynn Parramore:

https://www.ineteconomics.org/perspectives/blog/can-we-avoid-a-franken-future-with-ai

3 Questions: How to prove humanity online

kitum.elgon@gmail.com (Kitum Elgon) — Fri, 01 Nov 2024 11:39:02 +0100

“3 Questions: How to prove humanity online” by Adam Zewe:

https://news.mit.edu/2024/3-questions-proving-humanity-online-0816

white-paper: “Personhood credentials: Artificial intelligence and the value of privacy-preserving tools to distinguish who is real online” by researchers from MIT.edu, OpenAI / Microsoft, and other tech companies and academic institutions:

https://arxiv.org/pdf/2408.07892

AI's employment impact: 86% of workers fear job losses, but here's some good news

kitum.elgon@gmail.com (Kitum Elgon) — Sat, 26 Oct 2024 15:55:24 +0200

“AI’s employment impact: 86% of workers fear job losses, but here’s some good news” by Mark Samuels:

https://www.zdnet.com/article/ai-employment-impact-86-of-workers-fear-job-losses-but-heres-some-good-news/

AI can help humans find common ground in democratic deliberation

kitum.elgon@gmail.com (Kitum Elgon) — Fri, 18 Oct 2024 16:43:04 +0200

“AI can help humans find common ground in democratic deliberation” by Michael Henry Tessler, Michiel A. Bakker, Daniel Jarrett, Hannah Sheahan, Martin J. Chadwick, Raphael Koster, Georgina Evans, Lucy Campbell-Gillingham, Tantum Collins, David C. Parkes, Matthew Botvinick, and Christopher Summerfield:

https://www.science.org/doi/10.1126/science.adq2852

Big Digital Tech Moves Into Synthetic Biology: The Generative AI Rush - Black Box Biotech

kitum.elgon@gmail.com (Kitum Elgon) — Mon, 14 Oct 2024 09:05:41 +0200

“Big Digital Tech Moves Into Synthetic Biology: The Generative AI Rush / Black Box Biotech P1/2” by Lynn Fries:

https://gpenewsdocs.com/black-box-biotech/

“Black Box Biotech P2/2” by Lynn Fries:

https://gpenewsdocs.com/black-box-biotech-p2-2/

“Big Digital Tech Moves Into Synthetic Biology: The Generative AI Rush - Black Box Biotech” by Yves Smith:

https://www.nakedcapitalism.com/2024/10/big-digital-tech-moves-into-synthetic-biology-the-generative-ai-rush-black-box-biotech-p1-2.html

Opinion: The Challenge of Preserving Good Data in the Age of AI

kitum.elgon@gmail.com (Kitum Elgon) — Sat, 28 Sep 2024 07:10:38 +0200

“Opinion: The Challenge of Preserving Good Data in the Age of AI” by Peter Hall:

https://undark.org/2024/09/26/opinion-challenge-of-preserving-good-data-ai/

the article is also available at:

https://www.nakedcapitalism.com/2024/09/the-challenge-of-preserving-good-data-in-the-age-of-ai.html

AI: Markets for Lemons, and the Great Logging Off

kitum.elgon@gmail.com (Kitum Elgon) — Fri, 20 Sep 2024 07:58:08 +0200

“AI: Markets for Lemons, and the Great Logging Off” by Lars Doucet:

“What happens when most ‘people’ you interact with on the internet are fake?”

https://www.fortressofdoors.com/ai-markets-for-lemons-and-the-great-logging-off/

KI-Verordnung öffnet Hintertüren für biometrische Massenüberwachung

kitum.elgon@gmail.com (Kitum Elgon) — Mon, 09 Sep 2024 17:11:30 +0200

“KI-Verordnung öffnet Hintertüren für biometrische Massenüberwachung” by Stefan Krempl:

https://www.heise.de/news/Halbgar-KI-Verordnung-oeffnet-Hintertueren-fuer-biometrische-Massenueberwachung-9569614.html

“Datenkraken im Büro: EU-KI-Regeln ignorieren Arbeitnehmerschutz” by Marcus Schwarzbach:

https://www.telepolis.de/features/Datenkraken-im-Buero-EU-KI-Regeln-ignorieren-Arbeitnehmerschutz-9855631.html

The Problem with AI

kitum.elgon@gmail.com (Kitum Elgon) — Wed, 04 Sep 2024 16:21:18 +0200

“The Problem with AI” by Richard Murphy:

https://www.nakedcapitalism.com/2024/08/the-problem-with-ai.html

original article reference:

https://www.taxresearch.org.uk/Blog/2024/08/30/the-problem-with-ai/

“Sorry, Labour, but ChatGPT teachers are a lesson in how not to transform our schools” by Gaby Hinsliff

https://www.theguardian.com/commentisfree/article/2024/aug/29/labour-chatgpt-teachers-schools-ai

Why A.I. Isn’t Going to Make Art

kitum.elgon@gmail.com (Kitum Elgon) — Mon, 02 Sep 2024 16:00:09 +0200

“Why A.I. Isn’t Going to Make Art” by Ted Chiang:

“To create a novel or a painting, an artist makes choices that are fundamentally alien to artificial intelligence.”

https://www.newyorker.com/culture/the-weekend-essay/why-ai-isnt-going-to-make-art

“What We Still Don’t Know About How A.I. Is Trained” by Sue Halpern:

“GPT-4 is a powerful, seismic technology that has the capacity both to enhance our lives and diminish them.”

https://www.newyorker.com/news/daily-comment/what-we-still-dont-know-about-how-ai-is-trained

Robots and wage polarisation

kitum.elgon@gmail.com (Kitum Elgon) — Wed, 21 Aug 2024 08:01:20 +0200

“Robots and wage polarisation” by Daisuke Adachi:

https://cepr.org/voxeu/columns/robots-and-wage-polarisation

reference to the article above, “Robots and Wage Polarisation” @ naked-capitalism:

https://www.nakedcapitalism.com/2024/08/robots-and-wage-polarisation.html

paper: Robots and Wage Polarization: The effects of robot capital by occupation:

https://www.rieti.go.jp/en/publications/summary/24070007.html

The effect of AI adoption on jobs: Evidence from US commuting zones

kitum.elgon@gmail.com (Kitum Elgon) — Tue, 13 Aug 2024 08:38:18 +0200

“The effect of AI adoption on jobs: Evidence from US commuting zones” by Alessandra Bonfiglioli, Rosario Crinò, Gino Gancia, Ioannis Papadakis:

https://cepr.org/voxeu/columns/effect-ai-adoption-jobs-evidence-us-commuting-zones

https://www.nakedcapitalism.com/2024/08/the-effect-of-ai-adoption-on-jobs-evidence-from-us-commuting-zones.html

How Does OpenAI Survive?

kitum.elgon@gmail.com (Kitum Elgon) — Fri, 09 Aug 2024 13:24:52 +0200

“How Does OpenAI Survive?” by Edward Zitron:

https://www.wheresyoured.at/to-serve-altman/?ref=ed-zitrons-wheres-your-ed-at-newsletter

refered to from nakedcapitalism:

https://www.nakedcapitalism.com/2024/08/how-does-openai-survive.html

Experten: Ohne KI-Strategie droht Firmensterben – so retten Sie Ihren Job

kitum.elgon@gmail.com (Kitum Elgon) — Wed, 07 Aug 2024 19:31:07 +0200

“Experten: Ohne KI-Strategie droht Firmensterben – so retten Sie Ihren Job” by Bernd Müller:

https://www.telepolis.de/features/Experten-Ohne-KI-Strategie-droht-Firmensterben-so-retten-Sie-Ihren-Job-9812197.html

Ein Interview mit den Autoren des Buches:

Kai Gondlach, Mark Brinkmann “KI jetzt! Wie Künstliche Intelligenz Ihren Arbeitsalltag erleichtern kann”, mit einem Vorwort von Deepa Gautam-Nigge erschienen im Gabal Verlag:https://www.gabal-verlag.de/buch/ki-jetzt/9783967391794

KI in der Arbeitswelt: Mehr Realismus, bitte

kitum.elgon@gmail.com (Kitum Elgon) — Mon, 05 Aug 2024 16:25:29 +0200

“KI in der Arbeitswelt: Mehr Realismus, bitte” by Philip Pramer:

https://www.derstandard.at/story/3000000230838/ki-in-der-arbeitswelt-mehr-realismus-bitte

Pluralistic: AI's productivity theater

kitum.elgon@gmail.com (Kitum Elgon) — Sat, 03 Aug 2024 06:55:35 +0200

“Pluralistic: AI’s productivity theater” by Cory Doctorow:

https://pluralistic.net/2024/07/25/accountability-sinks/#work-harder-not-smarter

How the financial authorities can respond to AI threats to financial stability

kitum.elgon@gmail.com (Kitum Elgon) — Tue, 30 Jul 2024 05:23:28 +0200

“How the financial authorities can respond to AI threats to financial stability” by Jon Danielsson and Andreas Uthemann :

https://cepr.org/voxeu/columns/how-financial-authorities-can-respond-ai-threats-financial-stability

https://www.nakedcapitalism.com/2024/07/how-the-financial-authorities-can-respond-to-ai-threats-to-financial-stability.html

U.S. is Facing a Major Energy Crunch Due to AI's Insatiable Demand

kitum.elgon@gmail.com (Kitum Elgon) — Tue, 30 Jul 2024 05:20:54 +0200

“U.S. is Facing a Major Energy Crunch Due to AI’s Insatiable Demand” by Haley Zaremba:

https://oilprice.com/Energy/Energy-General/US-is-Facing-a-Major-Energy-Crunch-Due-to-AIs-Insatiable-Demand.html

https://www.nakedcapitalism.com/2024/07/u-s-is-facing-a-major-energy-crunch-due-to-ais-insatiable-demand.html

KI soll Griechenlands Tourismus retten: Ist das die Lösung

kitum.elgon@gmail.com (Kitum Elgon) — Sun, 28 Jul 2024 07:42:28 +0200

“KI soll Griechenlands Tourismus retten: Ist das die Lösung” by Wassilis Aswestopoulos:

https://www.telepolis.de/features/KI-soll-Griechenlands-Tourismus-retten-Ist-das-die-Loesung-9812971.html

AI Financial Crises

kitum.elgon@gmail.com (Kitum Elgon) — Sat, 27 Jul 2024 14:00:05 +0200

“AI Financial Crises” by Jon Danielsson and Andreas Uthemann:

https://cepr.org/voxeu/columns/ai-financial-crises

https://www.nakedcapitalism.com/2024/07/ai-financial-crises.html

Wir haben KI-Systeme in die Welt gesetzt, ohne dass die Risiken gut verstanden sind

kitum.elgon@gmail.com (Kitum Elgon) — Thu, 27 Jun 2024 11:15:48 +0200

“Wir haben KI-Systeme in die Welt gesetzt, ohne dass die Risiken gut verstanden sind” by Wassilis Aswestopoulos:

Ein Interview mit Holger Hoos: Professor an der Alexander von Humboldt-Professor für Informatik an der Fakultät für Mathematik, Informatik und Naturwissenschaften der RWTH Aachen.

https://www.telepolis.de/features/Wir-haben-KI-Systeme-in-die-Welt-gesetzt-ohne-dass-die-Risiken-gut-verstanden-sind-9778741.html

I Will Fucking Piledrive You If You Mention AI Again

kitum.elgon@gmail.com (Kitum Elgon) — Thu, 20 Jun 2024 07:40:14 +0200

“I Will Fucking Piledrive You If You Mention AI Again” by Ludicity:

insightful rant using a lot of swear-words - imho. stil worth reading :))

https://ludic.mataroa.blog/blog/i-will-fucking-piledrive-you-if-you-mention-ai-again/

Age of AI: Everything you need to know about artificial intelligence

kitum.elgon@gmail.com (Kitum Elgon) — Sun, 02 Jun 2024 08:12:13 +0200

“Age of AI: Everything you need to know about artificial intelligence” by Devin Coldewey:

https://techcrunch.com/2023/08/04/age-of-ai-everything-you-need-to-know-about-artificial-intelligence/

WTF is AI?

https://techcrunch.com/2024/06/01/wtf-is-ai/

AI NAVIGATOR 2024: Conference on the Practice of AI in IT, Business and Society

kitum.elgon@gmail.com (Kitum Elgon) — Fri, 24 May 2024 07:03:01 +0200

“AI NAVIGATOR 2024: Conference on the Practice of AI in IT, Business and Society” by DOAG:

https://ki-navigator.doag.org/en/home/

“KI Navigator: Konferenz zu KI in IT, Wirtschaft und Gesellschaft wächst deutlich”

https://www.heise.de/news/KI-Navigator-Konferenz-zu-KI-in-IT-Wirtschaft-und-Gesellschaft-waechst-deutlich-9722664.html

program:

https://ki-navigator.doag.org/de/agenda

Sam Altman’s Scarlett Johansson Blunder Just Made AI a Harder Sell in DC

kitum.elgon@gmail.com (Kitum Elgon) — Thu, 23 May 2024 11:56:51 +0200

“Sam Altman’s Scarlett Johansson Blunder Just Made AI a Harder Sell in DC” by Derek Robertson:

https://www.politico.com/news/magazine/2024/05/22/scarlett-johansson-sam-altmans-washington-00159507

Unternehmen im Zweifel bei New Work - sollte mit KI oder agil gesteuert werden?

kitum.elgon@gmail.com (Kitum Elgon) — Sat, 18 May 2024 18:23:12 +0200

“Unternehmen im Zweifel bei New Work – sollte mit KI oder agil gesteuert werden?” by Marcus Schwarzbach:

https://www.telepolis.de/features/Unternehmen-im-Zweifel-bei-New-Work-sollte-mit-KI-oder-agil-gesteuert-werden-9723424.html

“Künstliche Intelligenz wird Arbeit effizienter machen.”

Indem sie den schwierigsten Teil übernimmt: Anfangen

Die Sorgen, KI könne Millionen von Arbeitsplätzen obsolet machen, sind unbegründet. Der wahre Wert der Technologie liegt darin, worin Menschen besonders schlecht sind: den ersten Schritt zu gehen.

https://www.xing.com/news/article/kuenstliche-intelligenz-wird-arbeit-effizienter-machen-indem-sie-den-schwierigst-1

“The Future of Coding with AI”, An Interview with Eli Hooten:

We discuss essential skills for software engineers, the role of open source, and embracing AI as a force multiplier

https://www.turingpost.com/p/elihooten

AI already uses as much energy as a small country. It’s only the beginning.

kitum.elgon@gmail.com (Kitum Elgon) — Fri, 10 May 2024 17:20:39 +0200

“AI already uses as much energy as a small country. It’s only the beginning.” by Brian Calvert:

The energy needed to support data storage is expected to double by 2026. You can do something to stop it.

https://www.vox.com/climate/2024/3/28/24111721/ai-uses-a-lot-of-energy-experts-expect-it-to-double-in-just-a-few-years

Artificial intelligence guzzles billions of liters of water

kitum.elgon@gmail.com (Kitum Elgon) — Wed, 01 May 2024 16:22:00 +0200

“Artificial intelligence guzzles billions of liters of water”:

The growing thirst of data centers, which use water to cool their equipment, is beginning to cause tensions in the territories where they are located.

https://english.elpais.com/technology/2023-11-15/artificial-intelligence-guzzles-billions-of-liters-of-water.html

“The dirty secret of artificial intelligence”

The emergence of tools such as ChatGPT triggers warnings about a fivefold increase in global data center energy consumption.

https://english.elpais.com/science-tech/2023-03-23/the-dirty-secret-of-artificial-intelligence.html

Wie KI die Arbeit von Angestellten verändert

kitum.elgon@gmail.com (Kitum Elgon) — Thu, 25 Apr 2024 08:02:44 +0200

“Wie KI die Arbeit von Angestellten verändert” by Marcus Schwarzbach:

https://www.telepolis.de/features/Wie-KI-die-Arbeit-von-Angestellten-veraendert-9694935.html

Der KI-Hype trifft auf die ersten Spuren von Realität

kitum.elgon@gmail.com (Kitum Elgon) — Mon, 22 Apr 2024 09:11:32 +0200

“Der KI-Hype trifft auf die ersten Spuren von Realität” by Andreas Proschofsky:

https://www.derstandard.at/story/3000000216539/der-ki-hype-trifft-auf-die-ersten-spuren-von-realitaet

The Spear in AI's Back

kitum.elgon@gmail.com (Kitum Elgon) — Fri, 19 Apr 2024 11:54:29 +0200

“The Spear in AI’s Back” by Charles Hugh Smith:

https://www.oftwominds.com/blogapr24/AI-liability4-24.html

https://www.lewrockwell.com/2024/04/charles-hugh-smith/the-spear-in-ais-back/

The Original AI Doomer: Dr. Norbert Wiener

kitum.elgon@gmail.com (Kitum Elgon) — Thu, 18 Apr 2024 14:38:40 +0200

“The Original AI Doomer: Dr. Norbert Wiener” by Louis Anslow:

https://newsletter.pessimistsarchive.org/p/the-original-ai-doomer-dr-norbert

who was dr. norbert wiener?

https://en.wikipedia.org/wiki/Norbert_Wiener

We’ve been here before: AI promised humanlike machines – in 1958

kitum.elgon@gmail.com (Kitum Elgon) — Thu, 28 Mar 2024 11:44:18 +0100

“We’ve been here before: AI promised humanlike machines – in 1958” by Danielle Williams. Postdoctoral Fellow in Philosophy of Science, Arts & Sciences at Washington University in St. Louis:

https://theconversation.com/weve-been-here-before-ai-promised-humanlike-machines-in-1958-222700

Generative AI Could Leave Users Holding the Bag for Copyright Violations

kitum.elgon@gmail.com (Kitum Elgon) — Wed, 27 Mar 2024 17:54:20 +0100

“Generative AI Could Leave Users Holding the Bag for Copyright Violations” by Anjana Susarla, Professor of Information Systems, Michigan State University. Originally published at The Conversation:

https://www.nakedcapitalism.com/2024/03/generative-ai-could-leave-users-holding-the-bag-for-copyright-violations.html

SXSW Audiences Loudly Boo Festival Videos Touting the Virtues of AI

kitum.elgon@gmail.com (Kitum Elgon) — Fri, 15 Mar 2024 12:54:04 +0100

“SXSW Audiences Loudly Boo Festival Videos Touting the Virtues of AI” by MichaelSchneider:

https://variety.com/2024/tv/news/sxsw-audiences-boo-videos-artificial-intelligence-ai-1235940454/

“SXSW Audience Loudly Boos Video About How AI Is Awesome ‘Read the room, people.’”:

https://futurism.com/the-byte/sxsw-boos-ai

“AI was booed at SXSW” by Lucas Ropek:

https://qz.com/sxsw-ai-audience-boo-artificial-intelligence-kara-swish-1851334824

“Festival crowd boos San Francisco techies over ‘AI is a culture’ video” by Stephen Council:

https://www.sfgate.com/tech/article/sxsw-crowd-boos-ai-promo-video-19034370.php

The Growing Environmental Footprint Of Generative AI

kitum.elgon@gmail.com (Kitum Elgon) — Wed, 28 Feb 2024 08:18:08 +0100

“The Growing Environmental Footprint Of Generative AI” by Yves Smith:

https://www.nakedcapitalism.com/2024/02/the-growing-environmental-footprint-of-generative-ai.html

cross-post from: “As Use of A.I. Soars, So Does the Energy and Water It Requires” by David Berreby:

https://e360.yale.edu/features/artificial-intelligence-climate-energy-emissions

AI won't eat your job, but it will eat your salary

kitum.elgon@gmail.com (Kitum Elgon) — Mon, 26 Feb 2024 10:18:18 +0100

“AI won’t eat your job, but it will eat your salary” by Sangeet Paul Choudary:

https://platforms.substack.com/p/ai-wont-eat-your-job-but-it-will

gemma.cpp about the influence of AI on economy

kitum.elgon@gmail.com (Kitum Elgon) — Sun, 25 Feb 2024 16:04:20 +0100

using gemma.cpp with the 2b-it model:

what will be the future effects of AI on the economy and society?

[ Reading prompt ] …………………..

The future effects of artificial intelligence (AI) on the economy and society are significant and multifaceted:

Automation and Job Displacement:AI will automate tasks currently performed by humans, leading to job displacement in industries such as manufacturing, retail, and customer service.However, it will also create new jobs in areas such as AI development, data science, and maintenance.
Increased Productivity and Efficiency:AI can automate repetitive tasks, freeing up workers to focus on more complex and creative tasks.This increased productivity can lead to significant economic growth and improved living standards.
Enhanced Decision-Making:AI can analyze vast amounts of data and identify patterns and trends that humans may miss.This can lead to more accurate and efficient decision-making across various industries.
Personalized and Customized Products and Services:AI can personalize products and services based on individual preferences and behavior.This can lead to increased customer satisfaction and loyalty.
New Business Models:AI-powered businesses can offer innovative products and services that were previously impossible.This can lead to increased competition and economic growth.
Ethical and Social Concerns:The use of AI raises ethical and social concerns, such as bias, privacy, and the potential for job displacement.It is crucial to develop and implement AI solutions in a responsible and ethical manner.
Increased Access to Information and Education:AI can provide access to information and education that was previously unavailable.This can improve literacy and economic opportunities for all.
New Job Opportunities:AI is creating new job opportunities in areas such as AI development, data science, and maintenance.It is important to invest in education and training to meet the demand for skilled workers.
Global Collaboration:AI can facilitate global collaboration by connecting people and resources across borders.This can lead to innovation and economic growth.
Unforeseen Consequences:The full impact of AI on the economy and society is difficult to predict.It is important to monitor and evaluate AI developments to ensure a positive and equitable future.

Overall, AI will have a profound impact on the economy and society. It will automate jobs, enhance decision-making, and create new opportunities. However, it is crucial to address ethical and social concerns to ensure a responsible and beneficial AI future.

Positive Effects:

Increased productivity and efficiency: AI can automate tasks, streamline processes, and improve decision-making, leading to increased productivity and efficiency.
Job creation: AI can automate many jobs, creating new opportunities in areas such as AI development, data science, and robotics.
Reduced costs: AI can help businesses reduce costs by automating tasks, improving supply chain efficiency, and reducing waste.
Improved customer service: AI chatbots and virtual assistants can provide 24/7 support, improving customer satisfaction.
Enhanced decision-making: AI can analyze vast amounts of data and provide insights that can help businesses make better decisions.
Increased transparency and accountability: AI can monitor and track business activities, promoting transparency and accountability.

Negative Effects:

Job displacement: AI automation can displace workers in various industries, leading to job losses.
Bias and discrimination: AI systems can inherit biases from the data they are trained on, leading to unfair or discriminatory outcomes.
Privacy concerns: AI systems can collect and analyze vast amounts of data, raising privacy concerns.
Existential threat: Some experts worry that AI could become self-aware and pose an existential threat to humanity.
Ethical concerns: AI raises ethical concerns, such as the potential for misuse and the lack of transparency in decision-making.

Other Potential Effects:

Increased inequality: AI could exacerbate existing inequalities, as those with access to AI technology will be more likely to benefit from it than those without.
Increased automation of labor: AI could automate many jobs, leading to a further decline in the labor force.
Emergence of new industries: AI will create new industries and jobs that we cannot yet imagine.

Mitigating the Negative Effects:

Regulation: Governments can implement regulations to address potential biases and ensure ethical use of AI.
Education and training: It is crucial to educate workers and citizens about AI and its potential impact on the economy and society.
Collaboration: It is important for businesses, governments, and researchers to collaborate to address the challenges and opportunities presented by AI.

Conclusion:

AI will have a profound impact on the economy and society. While it presents potential risks, such as job displacement and bias, it also offers numerous opportunities for growth and innovation. By carefully managing AI development and use, we can harness its potential to create a more productive, equitable, and sustainable future.

KI-Gesetz: EU legt Kuenstlicher Intelligenz Zuegel an – zu wenig, zu spaet?

kitum.elgon@gmail.com (Kitum Elgon) — Sun, 04 Feb 2024 09:10:48 +0100

“KI-Gesetz: EU legt Kuenstlicher Intelligenz Zuegel an – zu wenig, zu spaet?” by Jutta Blume:

https://www.telepolis.de/features/KI-Gesetz-EU-legt-Kuenstlicher-Intelligenz-Zuegel-an-zu-wenig-zu-spaet-9617403.html

paper: “Friederike Rohde, Anne Mollen, Andreas Meyer, Josephin Wagner, Gesa Marken, Vivian Frick, Frieder Schmelzle, Lina Engel: Taking (policy) action to enhance the sustainability of AI systems”https://www.ioew.de/fileadmin/user_upload/SustAIn_Policy_Brief_2024.pdf

AI Boom Could Slow U.S. Clean Grid Ambitions.

kitum.elgon@gmail.com (Kitum Elgon) — Sun, 28 Jan 2024 09:39:55 +0100

“AI Boom Could Slow U.S. Clean Grid Ambitions” by Yves Smith from naked-capitalism:

https://www.nakedcapitalism.com/2024/01/ai-boom-could-slow-u-s-clean-grid-ambitions.html

Cory Doctorow: What Kind of Bubble is AI?

kitum.elgon@gmail.com (Kitum Elgon) — Thu, 25 Jan 2024 17:12:07 +0100

“What Kind of Bubble is AI?” by Cory Doctorow:

https://locusmag.com/2023/12/commentary-cory-doctorow-what-kind-of-bubble-is-ai/

https://pluralistic.net/2023/12/19/bubblenomics/

Pluralistic: Daily links from Cory Doctorow:

https://pluralistic.net/

(AI Tinkerers Ottawa) AI: The Not So Good Parts - Xe Iaso.

kitum.elgon@gmail.com (Kitum Elgon) — Thu, 18 Jan 2024 07:10:52 +0100

“(AI Tinkerers Ottawa) AI: The Not So Good Parts” by Xe Iaso:

https://xeiaso.net/talks/2024/prepare-unforeseen-consequences/

https://www.youtube.com/watch?v=eD5GlCIS0sA

video of the talk @ youtube:

KI am Scheideweg - Ende des Hypes in 2024?

kitum.elgon@gmail.com (Kitum Elgon) — Sat, 13 Jan 2024 14:15:19 +0100

“KI am Scheideweg - Ende des Hypes in 2024” von Marcus Schwarzbach

Künstliche Intelligenz wird vielfaeltig eingesetzt, vom Recruiting bis zum Aktienmarkt. Doch es gibt Anzeichen dafür, dass der Hype sich einem Ende nähert.

https://www.telepolis.de/features/KI-am-Scheideweg-Ende-des-Hypes-in-2024-9595875.html

“Künstliche Intelligenz: Die nächste Aktienblase?”

https://www.wiwo.de/finanzen/geldanlage/verkehrte-finanzwelt-kuenstliche-intelligenz-die-naechste-aktienblase/29579958.html

KI – Macht – Ungleichheit.

kitum.elgon@gmail.com (Kitum Elgon) — Sun, 31 Dec 2023 07:29:42 +0100

“KI – Macht – Ungleichheit.” von Rainer Mühlhoff

Was ist die soziale Dimension von Nachhaltigkeit und warum ist sie durch KI gefährdet?

https://media.ccc.de/v/37c3-11937-ki_macht_ungleichheit

Rainer Mühlhoff

https://rainermuehlhoff.de

Post Labor Economics: How will the economy work after AGI? Recent thoughts and conversations.

kitum.elgon@gmail.com (Kitum Elgon) — Thu, 14 Dec 2023 14:01:24 +0100

“Post Labor Economics: How will the economy work after AGI? Recent thoughts and conversations” by David Shapiro

https://www.youtube.com/watch?v=eD5GlCIS0sA

David Shapiro’s substack:

https://daveshap.substack.com/

David Shapiro @ github:

https://github.com/daveshap

FORTUNE Brainstorm AI 2023

kitum.elgon@gmail.com (Kitum Elgon) — Wed, 13 Dec 2023 14:22:14 +0100

FORTUNE Brainstorm AI 2023:https://fortune.com/conferences/fortune-brainstorm-a-i-2023/agenda

“Most companies using AI are ‘lighting money on fire,’ says Cloudflare CEO Matthew Prince.” by Sage Lazzaro:

https://fortune.com/2023/12/12/cloudflare-ceo-matthew-prince-companies-lighting-money-fire-with-ai/

Noam Chomsky turns 95: the social justice advocate paved the way for AI.

kitum.elgon@gmail.com (Kitum Elgon) — Fri, 08 Dec 2023 12:10:08 +0100

“Noam Chomsky turns 95: the social justice advocate paved the way for AI.” by Jose Sena Gouao:

https://theconversation.com/noam-chomsky-turns-95-the-social-justice-advocate-paved-the-way-for-ai-does-it-keep-him-up-at-night-218034

Make no mistake—AI is owned by Big Tech.

kitum.elgon@gmail.com (Kitum Elgon) — Fri, 08 Dec 2023 12:04:37 +0100

“If we’re not careful, Microsoft, Amazon, and other large companies will leverage their position to set the policy agenda for AI, as they have in many other sectors.”

“Make no mistake—AI is owned by Big Tech.” by Amba Kakarchive, Sarah Myers, Meredith Whittaker:

https://www.technologyreview.com/2023/12/05/1084393/make-no-mistake-ai-is-owned-by-big-tech/

GPTs are GPTs: An Early Look at the Labor Market Impact Potential of Large Language Models.

kitum.elgon@gmail.com (Kitum Elgon) — Sun, 03 Dec 2023 16:42:13 +0100

GPTs are GPTs: An Early Look at the Labor Market Impact Potentialof Large Language Model.

“We investigate the potential implications of large language models (LLMs), such as Generative Pretrained Transformers (GPTs), on the U.S. labor market, focusing on the increased capabilities arising from LLM-powered software compared to LLMs on their own.”

https://openai.com/research/gpts-are-gpts

https://arxiv.org/pdf/2303.10130.pdf

llama-chat / mistral about the influence of AI on economy

kitum.elgon@gmail.com (Kitum Elgon) — Mon, 27 Nov 2023 14:20:52 +0100

using mistral-7b-instruct-v0.1.Q5_K_M.gguf

[USER]:what will be the future effects of AI on the economy and society?

[ASSISTANT]:The future effects of AI on the economy and society are difficult to predict with certainty, as the technology is constantly evolving and its impact will depend on how it is developed and deployed. However, some potential effects of AI on the economy and society include:

Increased productivity: AI has the potential to automate many tasks that are currently performed by humans, which could lead to increased productivity and efficiency in the workplace. This could result in cost savings for businesses and increased output, which could in turn benefit consumers.
Job displacement: As AI becomes more advanced, it may be able to perform tasks that were previously done by humans, which could lead to job displacement for some workers. This could have a significant impact on the labor market and could require policies to address the issue.
Changes in the nature of work: As AI becomes more prevalent in the workplace, it may lead to changes in the nature of work, with workers taking on more complex and strategic roles. This could require new skills and training to be developed.
Increased inequality: The benefits of AI may not be evenly distributed, with some workers and businesses benefiting more than others. This could lead to increased inequality in the economy and society.
Changes in consumer behavior: AI has the potential to personalize and optimize many aspects of our lives, from shopping to entertainment. This could lead to changes in consumer behavior and preferences.
Changes in healthcare: AI has the potential to revolutionize healthcare, with the technology being used to diagnose and treat diseases, as well as to improve patient outcomes. This could have a significant impact on healthcare costs and the overall health of society.
Changes in transportation: AI has the potential to transform transportation, with the technology being used to optimize routes, reduce congestion, and improve safety. This could have a significant impact on the transportation industry and on the way we move goods and people.

Overall, the future effects of AI on the economy and society are likely to be complex and multifaceted, and will depend on how the technology is developed and deployed. It will be important for policymakers, businesses, and individuals to carefully consider the potential impacts of AI and to develop strategies to address any negative effects.

Oops! We Automated Bullshit.

kitum.elgon@gmail.com (Kitum Elgon) — Fri, 17 Nov 2023 14:32:23 +0100

Department of Computer Science and Technology

“MIT Professor of AI Rodney Brooks summarises the working principle of ChatGPT as ‘it just makes up stuff that sounds good’. This is mathematically accurate, where ‘sounds good’ is an algorithm to imitate text found on the internet, while ‘makes up’ is the basic randomness of relying on predictive text rather than logic or facts.”

“Oops! We Automated Bullshit.” by Alan Blackwell:

https://www.cst.cam.ac.uk/blog/afb21/oops-we-automated-bullshit

The creation and maintenance of large AI models needs a lot of cheap labour in developing countries.

kitum.elgon@gmail.com (Kitum Elgon) — Sun, 15 Oct 2023 18:25:53 +0200

The creation and maintenance of large AI models needs a lot of cheap labor in developing countries.

“In der Schattenwelt der KI: Klickarbeiter” by Christoph Jehle:

https://www.telepolis.de/features/In-der-Schattenwelt-der-KI-Klickarbeiter-9334821.html

“OpenAI und Sama stellten unterbezahlte Arbeiter in Kenia ein, um brutale Inhalte für ChatGPT zu filtern”

https://www.business-humanrights.org/de/neuste-meldungen/openai-und-sama-stellten-unterbezahlte-arbeiter-in-kenia-ein-um-brutale-inhalte-f%C3%Bcr-chatgpt-zu-filtern/

Utilize nuclear SMRs -- small modular reactors -- for big-tech?

kitum.elgon@gmail.com (Kitum Elgon) — Mon, 02 Oct 2023 13:19:17 +0200

“Microsoft Needs So Much Power to Train AI That It’s Considering Small Nuclear Reactors” by Victor Tangermann:

https://futurism.com/the-byte/microsoft-power-train-ai-small-nuclear-reactors

“Small Nuclear Reactors: The Answer To Big Tech’s Energy Crisis?” By Felicity Bradstock

https://oilprice.com/Alternative-Energy/Nuclear-Power/Small-Nuclear-Reactors-The-Answer-To-Big-Techs-Energy-Crisis.html

From those two articles I’m getting the impression someone is in search of a use- / bussiness-case for SMRs – “small modular reactors”.

https://en.wikipedia.org/wiki/Small_modular_reactor

The Unlikely World Leader Who Just Dispelled Musk's Utopian AI Dreams

kitum.elgon@gmail.com (Kitum Elgon) — Thu, 28 Sep 2023 15:19:27 +0200

Published by Yair Rosenberg from the Atlantic.

theatlantic.com/benjamin-netanyahu-elon-musk-ai-pessimism

By Yair Rosenberg, a staff writer at The Atlantic and the author of its newsletter Deep Shtetl, about the intersection of politics, culture, and religion.

“Pause Giant AI Experiments: An Open Letter”

futureoflife.org/open-letter

“We call on all AI labs to immediately pause for at least 6 months the training of AI systems more powerful than GPT-4”

artificial intelligence: AI at the workplace and other articles from telepolis

kitum.elgon@gmail.com (Kitum Elgon) — Thu, 28 Sep 2023 14:32:47 +0200

Published by telepolis from heise verlag:

telepolis.de/Künstliche Intelligenz am Arbeitsplatz: Wie die Furcht vor ihr gelindert wird

“Neue Technologien stoßen oft auf Ablehnung unter Beschäftigten. Das muss aber nicht so sein. Ein neues Forschungsprojekt zeigt, was hilft und was zu tun ist.” von Marcus Schwarzbach

telepolis.de/KI-Modelle und Datenschutz: Warum Unternehmen ChatGPT und Co. verbieten

“Die New York Times verbietet KI-Modelle wie ChatGPT für ihre eigenen Inhalte. Andere Firmen schränken die Nutzung durch ihre Mitarbeiter ein. Das sind die Hintergründe.” von Bernd Müller

telepolis.de/KI-Boom in Deutschland: Fachkräftemangel bremst Start-ups und Mittelstand

“Der Fachkräftemangel hemmt die deutsche KI-Branche. Betroffen sind nicht nur spezialisierte IT-Jobs. Doch der Mittelstand hat noch ein anderes Problem.” von Matthias Lindner

artificial intelligence: profit versus freedom

kitum.elgon@gmail.com (Kitum Elgon) — Thu, 28 Sep 2023 14:32:47 +0200

Published by Yves Smith from naked capitalism: “Fearless commentary on finance, economics, politics and power”. A insightful publication with lots of cat-fotos all over the place.

nakedcapitalism.com/artificial-intelligence-profit-vs-freedom

By Richard D. Wolff, professor of economics emeritus at the University of Massachusetts, Amherst, and a visiting professor in the Graduate Program in International Affairs of the New School University, in New York.

chatGPT about the influence of AI on economy

kitum.elgon@gmail.com (Kitum Elgon) — Wed, 27 Sep 2023 17:35:22 +0200

what will be the future effects of AI on the economy and society?

The future effects of AI on the economy and society are likely to be significant and multifaceted. While it is challenging to predict with certainty, here are some potential impacts:

Economic Growth: AI has the potential to boost economic growth by increasing productivity and efficiency across various industries. Automation of tasks, predictive analytics, and improved decision-making through AI can lead to cost savings and innovation, contributing to economic expansion.
Job Displacement and Creation: The widespread adoption of AI and automation may lead to the displacement of certain jobs, particularly those involving routine and repetitive tasks. However, it also has the potential to create new jobs in AI development, maintenance, and other emerging fields. Successful adaptation to these changes will require reskilling and upskilling of the workforce.
Income Inequality: AI could exacerbate income inequality if not managed properly. The benefits of AI may accrue disproportionately to those who have the skills and resources to leverage it, while others may be left behind. Governments and organizations need to implement policies and programs to address this challenge.
Increased Efficiency and Cost Reduction: AI can help businesses and governments optimize operations, reduce waste, and improve resource allocation. This can lead to cost reduction and more efficient use of resources, potentially benefiting consumers through lower prices and taxpayers through reduced public spending.
Healthcare Advancements: AI has the potential to revolutionize healthcare by enhancing diagnostics, drug discovery, and personalized treatment plans. This can lead to improved health outcomes and reduced healthcare costs.
Privacy Concerns: The growing use of AI in data analysis and surveillance can raise significant privacy concerns. Striking a balance between the benefits of AI and protecting individual privacy will be a key societal challenge.
Ethical and Bias Issues: AI systems can inherit biases from the data they are trained on, leading to unfair or discriminatory outcomes. Addressing bias and ensuring ethical AI development and deployment will be crucial to building trust in AI technologies.
National Security: AI has implications for national security, from autonomous weapons to cybersecurity. Countries are likely to invest in AI for defense purposes, which could lead to an arms race and ethical dilemmas.
Education and Workforce Development: Preparing the workforce for an AI-driven future will require substantial investment in education and workforce development programs. Lifelong learning and adaptability will be critical skills.
Environmental Impact: AI can be used to optimize resource utilization and reduce energy consumption, potentially contributing to sustainability efforts. However, the manufacturing and training of AI models can also have a significant carbon footprint.
Global Competition: Nations and companies are competing to lead in AI research and development. This could have geopolitical implications as AI becomes integral to economic and military capabilities.
Human-AI Collaboration: As AI advances, it may become more integrated into daily life, working alongside humans in various capacities. This could change the way we work, communicate, and interact with technology.

In conclusion, AI’s future effects on the economy and society will depend on how it is developed, regulated, and integrated into various sectors. While AI has the potential to bring about significant benefits, it also presents challenges that need to be addressed through responsible and inclusive policies and practices. Adapting to these changes will require a proactive approach from governments, businesses, and individuals to ensure that the benefits of AI are widely shared and its risks are mitigated.