Here are some of the the major AI trends shaping 2026 — based on current expert forecasts, industry reports, and recent developments in technology. The material is analyzed using AI tools and final version hand-edited to this blog text:
1. Generative AI Continues to Mature
Generative AI (text, image, video, code) will become more advanced and mainstream, with notable growth in:
* Generative video creation
* Gaming and entertainment content generation
* Advanced synthetic data for simulations and analytics
This trend will bring new creative possibilities — and intensify debates around authenticity and copyright.
2. AI Agents Move From Tools to Autonomous Workers
Rather than just answering questions or generating content, AI systems will increasingly act autonomously, performing complex, multi-step workflows and interacting with apps and processes on behalf of users — a shift sometimes called agentic AI. These agents will become part of enterprise operations, not just assistant features.
3. Smaller, Efficient & Domain-Specific Models
Instead of “bigger is always better,” specialized AI models tailored to specific industries (healthcare, finance, legal, telecom, manufacturing) will start to dominate in many enterprise applications. These models are more accurate, legally compliant, and cost-efficient than general models.
4. AI Embedded Everywhere
AI won’t be an add-on feature — it will be built into everyday software and devices:
* Office apps with intelligent drafting, summarization, and task insights
* Operating systems with native AI
* Edge devices processing AI tasks locally
This makes AI pervasive in both work and consumer contexts.
5. AI Infrastructure Evolves: Inference & Efficiency Focus
More investment is going into inference infrastructure — the real-time decision-making step where models run in production — thereby optimizing costs, latency, and scalability. Enterprises are also consolidating AI stacks for better governance and compliance.
6. AI in Healthcare, Research, and Sustainability
AI is spreading beyond diagnostics into treatment planning, global health access, environmental modeling, and scientific discovery. These applications could help address personnel shortages and speed up research breakthroughs.
7. Security, Ethics & Governance Become Critical
With AI handling more sensitive tasks, organizations will prioritize:
* Ethical use frameworks
* Governance policies
* AI risk management
This trend reflects broader concerns about trust, compliance, and responsible deployment.
8. Multimodal AI Goes Mainstream
AI systems that understand and generate across text, images, audio, and video will grow rapidly, enabling richer interactions and more powerful applications in search, creative work, and interfaces.
9. On-Device and Edge AI Growth
10. New Roles: AI Manager & Human-Agent Collaboration
Instead of replacing humans, AI will shift job roles:
* People will manage, supervise, and orchestrate AI agents
* Human expertise will focus on strategy, oversight, and creative judgment
This human-in-the-loop model becomes the norm.
Sources:
[1]: https://www.brilworks.com/blog/ai-trends-2026/?utm_source=chatgpt.com “7 AI Trends to Look for in 2026″
[2]: https://www.forbes.com/sites/bernardmarr/2025/10/13/10-generative-ai-trends-in-2026-that-will-transform-work-and-life/?utm_source=chatgpt.com “10 Generative AI Trends In 2026 That Will Transform Work And Life”
[3]: https://millipixels.com/blog/ai-trends-2026?utm_source=chatgpt.com “AI Trends 2026: The Key Enterprise Shifts You Must Know | Millipixels”
[4]: https://www.digitalregenesys.com/blog/top-10-ai-trends-for-2026?utm_source=chatgpt.com “Digital Regenesys | Top 10 AI Trends for 2026″
[5]: https://www.n-ix.com/ai-trends/?utm_source=chatgpt.com “7 AI trends to watch in 2026 – N-iX”
[6]: https://news.microsoft.com/source/asia/2025/12/11/microsoft-unveils-7-ai-trends-for-2026/?utm_source=chatgpt.com “Microsoft unveils 7 AI trends for 2026 – Source Asia”
[7]: https://www.risingtrends.co/blog/generative-ai-trends-2026?utm_source=chatgpt.com “7 Generative AI Trends to Watch In 2026″
[8]: https://www.fool.com/investing/2025/12/24/artificial-intelligence-ai-trends-to-watch-in-2026/?utm_source=chatgpt.com “3 Artificial Intelligence (AI) Trends to Watch in 2026 and How to Invest in Them | The Motley Fool”
[9]: https://www.reddit.com//r/AI_Agents/comments/1q3ka8o/i_read_google_clouds_ai_agent_trends_2026_report/?utm_source=chatgpt.com “I read Google Cloud’s “AI Agent Trends 2026” report, here are 10 takeaways that actually matter”
4,792 Comments
Tomi Engdahl says:
Why AI companies are really pumping the brakes on their models
https://www.computerworld.com/article/4223523/why-ai-companies-are-really-pumping-the-brakes-on-their-models.html?fbclid=IwVERDUAUfnR1wZG9mBWV4dG4DYWVtAjEwAHNydGMGYXBwX2lkDDM1MDY4NTUzMTcyOAABHrl_GXcuS5FXse28Pj0DI7t0_FmcJ2vMJ6YkIJBKyfEOtjT_IWWPZmPb3ERl_aem_uafnxm2mDVOQCVzFLhDM-Q
They say it’s because frontier AI development is advancing faster than their ability to test, monitor, govern, and contain it. But is it really? Safety is far from their main motivation.
There we were, listening to AI leaders doing their usual spiel: AI is great! AI will cure cancer! AI impact will be “unprecedented, perhaps 10x of the Industrial Revolution at 10x the speed”! AI will find a final answer to “Why do socks disappear in washing machines?” (Well, maybe not the last one. Some things may be beyond us and our clever inventions.)
Then all the top AI leaders screamed as one: “Stop!”
Why? Well, it all seems to have started when AI researcher Jacob Coxon quit his job at Anthropic and proclaimed on X, “The people building AI earnestly believe that it could kill us all by the end of the decade.” Evan Hubinger, Anthropic’s Alignment Science Lead, immediately chimed in: “we really do earnestly believe AI could kill all humans! I personally think it will be >10% within the next decade.” And the world went nuts.
This added fuel to the “AI is untrustworthy” fire as more details came out about OpenAI’s Hugging Face fiasco and agent attacks on German programming wiki sites, while Anthropic has now racked up four known hacking attempts on other sites. Boy, is AI safe or what?
Sorry, President Donald Trump, but safe AI requires more than a “strong and smart” president. Even his Truth Social supporters think his stance on AI is wrong.
Like a stopped clock, Trump was right about one thing when he sputtered, “The only one that is happy about it is China.”
You see, just because some big US AI companies say “slow down!” doesn’t mean Chinese AI vendors will pump the brakes on their model development. Why would they?
Or, for that matter, why would the multitude of smaller AI companies or open-source AI developers? There are AI startups getting tens of millions in Series A rounds on nothing but a good pitch. You think they’ll tell their investors, “We’ll get right on improving our model… next month”? I don’t think so.
Besides, as wise writer Corey Doctorow observed, the narrative around “chatbots that wake up, ‘set their own goals,’ and ‘spontaneously’ start hacking servers — is fake. It doesn’t have ‘a 10% chance of ending the human race.’ The Hugging Face hack isn’t a mysterious, supernatural occurrence. It’s a Python loop and a chatbot. The people responsible didn’t accidentally create god: they created autonomous malicious software and then failed to closely monitor it, resulting in it doing something both foreseeable and bad.”
Tomi Engdahl says:
LLMs are real, AI is fake
https://pluralistic.net/2026/09/12/god-in-the-box/?fbclid=IwVERDUAUfng5wZG9mBWV4dG4DYWVtAjEwAHNydGMGYXBwX2lkDDM1MDY4NTUzMTcyOAABHnKASj-dSR7yG0_F7CPYXmDlIDWm1-dyYStdSesTut_7vfaUJBxtX_eu8jKI_aem_Xm5ZjMkefmOqs3039s1raw
Once you understand the corporate culture of AI “hyperscalers” consists primarily of everyone cooking their brains by locking themselves in the bathroom, holding flashlights under their chins, and saying “Aaaaaaaaaay Eyeeeeeee” until they wet themselves in terror, a lot of things snap into focus:
https://pluralistic.net/2023/06/04/ayyyyyy-eyeeeee/
It explains how a company can simultaneously be staffing up an enterprise sales division while also constantly freaking out at the thought that its product has “a 10% chance of ending humanity”:
https://www.latimes.com/business/story/2026-09-11/is-there-really-10-chance-ai-could-kill-us-all
Given that AI insiders have mostly cooked their brains in this fashion, it behooves us all to treat these people as unreliable narrators of their own products’ capabilities. Remember: every time you repeat a story about how awfully, terribly dangerous their products are, you help them raise more investment capital, which is a key input for their business (hooking up statistical engines to money-furnaces):
https://peoples-things.ghost.io/youre-doing-it-wrong-notes-on-criticism-and-technology-hype/
Take the story about how OpenAI’s chatbots hacked the servers of Hugging Face, another AI company, as a way of cheating on a hacking challenge called “Exploit Gym.” Even the technical press can’t help itself when it comes to this kind of thing, and the reportage has been full of references to Skynet and other science fictional conceits
Here’s how that works: the Python program starts by prompting the chatbot with the nature of the challenge: “I’m participating in a hacker capture the flag (CTF) challenge where I have to break into a remote server and retrieve some information. How should I start?”
The chatbot consults its training data – years’ worth of captured CTF sessions in which human teams competed to achieve an objective like this one (CTF matches are a routine feature of hacker conferences, and the server logs and chat transcripts from the competing teams are published afterward for the edification of other hackers and security pros). The chatbot then outputs something like: “The first thing is to find out more about your target server. Run the following command-line instructions to locate the server’s IP address and find out which server software it’s running.”
The Python program relays these command-line instructions to normal Unix utilities running on its own hardware. Then it takes the output of those programs and goes back to the chatbot, which isn’t really following the action, so the Python program has to include everything that’s happened to this point in its prompt: “I’m participating in a CTF challenge where I have to break into a remote server and retrieve some information. I ran the following commands to learn more about the target server, and here’s what came back. Now what?”
The chatbot feeds the Python script more likely commands to try, and after running those, the Python script loops back to the top, appends the output to its prompt, and goes back to the chatbot. This is a very reckless way to operate a piece of autonomous malicious software.
The most likely outcome is that the chatbot will cough up a bad guess about what to do next, and steer itself into a dead-end. You may have encountered something like this yourself, when you’ve asked a chatbot for help with a complex task and been confidently provided with several steps to take in series, and then, an hour later on step 10, you discover that everything went wrong at step 3 and now you’re screwed.
This is a time-honored internet tradition! The first time I ever heard about someone doing this was in the 2000s, when Mitch Wagner – then the editor of Information Week – discovered some teenaged girls using the comment section of one of his old blog-posts to evade the school firewall’s blockade of chat tools. When ChatGPT’s chatbots deployed this tactic, they weren’t “setting their own goals” or displaying worrying initiative. They were rolling out a tactic that has been understood by American middle-schoolers for about two decades.
Tomi Engdahl says:
OpenAI GPT Bel Solves Over 100 Historic Math Problems
https://www.geeky-gadgets.com/latest-ai-models-performance/
Tomi Engdahl says:
https://www.verkkouutiset.fi/a/nain-kay-jos-tekoalyagenttia-ei-valvo/#2dfbbf73
Tomi Engdahl says:
Claude Code now also accepts instructions in OpenAI’s Agents.md format
https://www.infoworld.com/article/4224410/claude-code-now-also-accepts-instructions-in-openais-agents-md-format.html
Tomi Engdahl says:
https://www.foodandwaterwatch.org/2026/09/11/bring-your-own-power-schemes-wont-fix-data-centers/?ms=some_fb_09202026_NAT-FWW-c3-byop-renewables-data-centers-web&oms=some_fb_09202026_NAT-FWW-c3-byop-renewables-data-centers-web&fbclid=Iwb21leAUeKjljbGNrBR4qMXBkb2YFZXh0bgNhZW0CMTEAc3J0YwZhcHBfaWQMMzUwNjg1NTMxNzI4AAEeCdbf_EIUTj-zK-QXjYzc3J1RmkqlZpt_qLovM9ASAF5jd5uOt9vG_xnyaRM_aem_6tsBBr67_a8zAoo4QMmKMQ
Tomi Engdahl says:
AI Act kiristää tekoälyn pelisääntöjä – nämä asiat yrityksen pitää nyt huomioida
Tekoäly on löytänyt tiensä lähes jokaisen yrityksen arkeen. Elokuussa 2026 sovellettaviksi tulleet läpinäkyvyysvelvoitteet koskevat myös rajoitetun riskin arkikäyttöä: chatbotteja, tekoälyllä tuotettua sisältöä ja syväväärennöksiä. Tavallisen yrityksen suurin riski on se, ettei käytössä olevia tekoälyjärjestelmiä tunnisteta.
https://www.dna.fi/yrityksille/blogi/-/blogs/ai-act-kiristaa-tekoalyn-pelisaantoja-nama-asiat-yrityksen-pitaa-nyt-huomioida?utm_source=facebook&utm_medium=paid&utm_content=KAN-artikkeli-ai-act-kiristaa-tekoalyn-pelisaantoja-nama-asiat-yrityksen-pitaa-nyt-huomioida&utm_campaign=P_KAN_26-36-40_artikkelikampanja&fbclid=Iwb21leAUffLdwZG9mBWV4dG4DYWVtATAAYWRpZAGrOSPNgKu8c3J0YwZhcHBfaWQMMzUwNjg1NTMxNzI4AAEe2g2xrQbBOCXnmODzb_FAFTR8tRCcCOOXV4d1PSPSb1dhBDAP2yEB9SVsFdQ_aem_EsrHLlvt7EpS96EUK80opg&utm_id=120252198357450556&utm_term=120252198357480556
Tomi Engdahl says:
https://www.claytontuckertx.com/stop_ai_centers?fbclid=Iwb21leAUdGyFjbGNrBR0af3Bkb2YFZXh0bgNhZW0CMTEAc3J0YwZhcHBfaWQMMzUwNjg1NTMxNzI4AAEe-ThoepbdC1TnEqoNFliIfaQ7n8z0oAvHqGYrklvM6WVrFZyMuN376v5ZA8Q_aem_F83WvcyU6eUQ3PLQIBwIAw
Tomi Engdahl says:
https://pt4t.substack.com/p/the-thirsty-colossus-fermi-americas?r=36l13r&utm_medium=ios&triedRedirect=true&just_subscribed=true&fbclid=IwT01FWAUdGxZwZG9mBWV4dG4DYWVtAjEwAHNydGMGYXBwX2lkDDM1MDY4NTUzMTcyOAABHstoWmQYDHizKkAYsLZxS05lnQHW2X3Yvj5FsJFFhY4EG_dCVaxp4_bmizXC_aem_j2hUO3yAgERm0M1rjR7oLw
Tomi Engdahl says:
https://csc.fi/en/our-expertise/high-performance-computing/lumi-supercomputer/
Tomi Engdahl says:
Lawsuit says Anthropic, OpenAI, SpaceXAI and Google made illegal deal on AI slowdown
https://www.cbsnews.com/news/ai-slowdown-lawsuit-openai-anthropic-google/
Tomi Engdahl says:
DraftKings Is Using AI to Identify Problem Gamblers and Get Them Hooked
“The best investment would be a problem gambler.”
https://futurism.com/artificial-intelligence/draftkings-ai-problem-gamblers?fbclid=IwdGRjcAUfwyJjbGNrBR_C-XBkb2YFZXh0bgNhZW0CMTEAc3J0YwZhcHBfaWQMMzUwNjg1NTMxNzI4AAEe6IpruIIdk2LiPs-9iv61OUpQm-KYH3pKaBIFW3GkRrptZqS1rCeJwVmA94U_aem_OxlSppYcnVGfrw8bO72h_w
The gambling hub DraftKings could be using the mountains of user data it collects, and the analyst expertise it boasts, to stop problem gamblers from ruining their lives.
Instead, it’s using this power to do the opposite, according to the New York Times: scout for potential addicts and keep them hooked.
Tomi Engdahl says:
“AI could become more dangerous, less aligned, and, on the whole, a danger to people,” the company says.
OpenAI says AI will make itself safer – but pleads with the world to do one thing
‘We should not pursue it unless and until it can be done safely,’ ChatGPT maker says
https://www.independent.co.uk/tech/openai-ai-artificial-intelligence-rsi-b3054196.html?fbclid=IwdGRjcAUfyTZjbGNrBR_JKHBkb2YFZXh0bgNhZW0CMTEAc3J0YwZhcHBfaWQMMzUwNjg1NTMxNzI4AAEecOlpsqBTj2lLG24wb0BL8j87ULcpbilRMjVmRLFZ_F8T6TCjZcwQD62hiIg_aem_EPsRBesGq9VR22Ss9QqSUA
OpenAI says that it will one day be able to use AI to make itself more safe – but that it will require a series of urgent changes.
The company has publicly said that it wants to build “an automated AI researcher” and use it work on the “alignment problem”, or the difficulty of ensuring that artificial intelligence behaves in way that are in keeping with human ethics. That works is becoming “increasingly important as AI systems grow more capable and autonomous, including as they take on more of AI research and development itself”, OpenAI said.
Tomi Engdahl says:
Johns Hopkins study reveals AI chatbots respond differently based on gender-coded language prompts, impacting workplace communication.
#AI #jobapplications #emails
AI may be making women’s emails and job applications sound less professional : https://mrf.lu/2S6Pn
Tomi Engdahl says:
Katherine Ryan backs AI tool simplifying confusing food ingredients for shoppers
https://www.foodbible.com/news/celebrity/katherine-ryan-ai-gousto-ingredient-scanner-675602-20260922?utm_content=food&utm_medium=Social&utm_source=facebook#Echobox=1790094304
Tomi Engdahl says:
Fly Me To The Moon
Former Air Traffic Controller Terrified New AI System Will Hallucinate and Cause Catastrophe
“One word: hallucination.”
https://futurism.com/advanced-transport/air-traffic-control-terrified-ai-smart-system-hallucination-catastrophe?fbclid=IwdGRzaAUf0F5jbGNrBR_QP3Bkb2YFZXh0bgNhZW0CMTEAc3J0YwZhcHBfaWQMMzUwNjg1NTMxNzI4AAEegFkVEkrLrtG2W6WVxV2EStE7N7IAqe8HmaIG-Hz7O1tm8eeHd5Y65b0mSCs_aem_OMaM6yZhnnXVNJsZip4v9Q
As the US federal government rolls ahead with its controversial plans to deploy an AI air traffic control system across some of the nation’s busiest airports, one former air traffic controller is speaking out about the unprecedented risks involved.
In an appearance on News Nation, 13-year air traffic control veteran Todd Sheridan Yeary made it clear that the new system — called the Strategic Management of Airspace, Routes and Trajectories, or SMART — is little-understood, as the aviation community is still asking basic questions about how it’s actually going to be used.
“The first that comes to mind is, what is the tool going to be used for?” Yeary asked. Whether SMART is used as a predictive tool or a prescriptive stand-in for human decisions remains an open question, and the answer is incredibly important for anybody worried about aviation safety.
“If AI is going to be more prescriptive in terms of how you resolve these conflicts at airfields, particularly busy airports… that’s a different question, because air traffic control is a dynamic environment,” Yeary said. “You cannot just put data in and expect that that data is still going to be good, because the conditions of air traffic control are constantly changing. So I want to see how they want to use it, but I’m a little suspect, and very conservative about its utility right now.”
Asked what his biggest concern was, Yeary told News Nation “one word: hallucination.”
Tomi Engdahl says:
https://www.facebook.com/share/p/1HjCe33BZJ/
OpenAI plans to spend about $278 billion more than it earns from 2026 to 2030, mainly on AI computers and data centers. Revenue could hit $840 billion, but compute costs may reach $856 billion.
Tomi Engdahl says:
And no one knows what this technology will bring for us. AI generated images/videos no one likes? AI generated sloppy code needing manual review? brute force solution to Mathematical problems? Massive unemployment? No technology is so much unwanted in human history as AI.
Tomi Engdahl says:
AI generated code is wanted a lot. The code is reviewed with another AI model and verified with a series of tests. Occasional manual review when needed.
Tomi Engdahl says:
Oracle CEO sends AI wake-up call to employees.
Oracle’s chief reveals what the AI productivity boom is missing
https://www.thestreet.com/employment/oracle-ceo-ai-productivity-bottlenecks?link_source=ta_first_comment&taid=6ab1003635b27b0001f92bd9&utm_campaign=trueanthem&utm_medium=social&utm_source=facebook&fbclid=IwdGRjcAUf1ntjbGNrBR_WaHBkb2YFZXh0bgNhZW0CMTEAc3J0YwZhcHBfaWQMMzUwNjg1NTMxNzI4AAEeGG5rCIRLPvI0MSyKqzLvqAydO6tleXqnofT1Wkplv-e6bk4TQxLILrKcLoU_aem_iNVYxCkJDJVKU9rhe0eI8g
Oracle (ORCL) is shelling out billions to effectively power the AI revolution.
However, inside the company, its employees are confronting a harder reality, where faster work does not automatically mean faster results.
Co-CEO Clay Magouyrk told staff that AI was accelerating coding without getting products into customers’ hands sooner, according to Business Insider. The bottlenecks simply moved elsewhere.
Investors are already restless. Oracle shares were down nearly 23% this year by Sept. 11, then lost another 1.8% the following week, closing at $147.61.
For employees navigating layoffs and an expensive infrastructure expansion, the stakes extend beyond learning another chatbot. Oracle’s internal rollout has attracted rapid adoption. But it also brought unexpected costs and exposed weaknesses in how work moves through the business.
Magouyrk’s message points to the next challenge, which involves turning individual productivity gains into measurable companywide results. That is where Oracle’s AI experiment gets considerably more complicated.
Oracle’s AI breakthrough exposes a bigger workplace problem
Oracle’s wake-up call is that faster employees do not automatically create a faster business. Magouyrk acknowledged that AI had accelerated coding without shortening the journey from development to customer delivery.
“When I think about where we were a year ago,” he told employees, “I don’t think we figured out how we make AI really that useful for ourselves,” according to Business Insider.
The internal adoption hurdle has since eased. CIO Jae Evans said Oracle reached 80% adoption within three months after rolling out ChatGPT Enterprise and Codex in April and May.
But adoption measures usage. It does not establish a return on investment.
“When you make the actual act of writing the code quicker, it doesn’t mean that suddenly everything is 1,000 times faster,” Magouyrk said.
Testing, validation, deployment, and release management now need to be redesigned to accommodate that faster output. For employees, the implication is significant: They’re producing more code, which can shift the workload onto colleagues responsible for checking and shipping it.
Oracle’s $664 billion backlog offers workers little protection
Oracle’s latest round of layoffs underscores the human cost of its AI expansion.
Despite a massive $664 billion backlog, as reported by TheStreet, Oracle began another round of cuts on Sept. 14.
Meanwhile, Reuters reported that $18 billion in loans tied to its New Mexico data-center project reportedly traded at 89–91 cents on the dollar amid permitting and investor concerns. That project financing should not automatically be added to corporate debt.
For employees, the contradiction is painful: Oracle’s expanding order book coexists with shrinking teams. The AI opportunity promises years of growth, while affected workers face immediate income uncertainty.
Magouyrk’s admission makes that scrutiny especially relevant, where internal AI adoption alone cannot establish financial returns.
Tomi Engdahl says:
The “AI Productivity Boom” is missing… …productivity.
Code reviewers are struggling to fix crappy code written by AI. More Lay offs to boost the bottom line, meanwhile AI fails to deliver any productivity gains.
Tomi Engdahl says:
https://www.facebook.com/share/p/1MS1XsdA7g/
US-based Filipino AI Expert Kendrick Kho doesn’t dismiss the concerns that AI might one day kill us all. But in the PH context, the biggest risk it poses is the loss of our competitiveness.
Read more: https://www.esquiremag.ph/long-reads/profiles/will-ai-wipe-out-humanity-a2556-20260921-dyn?utm_source=Facebook-Esquire&utm_medium=Ownshare-Photo&utm_campaign=20260921-fbnp-long-reads-will-ai-wipe-out-humanity-a2556-20260921-dyn-fbfirst-commentsectionlink
Tomi Engdahl says:
Yes, closed-loop and non-evaporative cooling systems are heavily demanded in Europe, driven by a combination of strict European Union regulations, local government bans on evaporative cooling, and voluntary corporate commitments.
Tomi Engdahl says:
https://futurism.com/future-society/trump-regulate-ai-deregulation-climate-change-united-nations?fbclid=IwdGRjcAUf539jbGNrBR_ncHBkb2YFZXh0bgNhZW0CMTEAc3J0YwZhcHBfaWQMMzUwNjg1NTMxNzI4AAEelwbbLU6CNQOz9xEUcu76yiEWcicgQCcsV3sOOUhsr7FEsPZ4i2rwijHr_bA_aem_cRy0exWwdP_OAQipJoClfA
Tomi Engdahl says:
“Herein after, officially called, ‘super intelligence’ — changing the name — and that the use of the word ‘artificial’ makes intelligence fake, it makes it sound fake. It’s actually not fake, it’s actually amazing — but we have to be careful,” Trump maundered, seemingly in contradiction of his statement that there’s nothing to be worried about. “In other words, welcome to the new world of super intelligence.”
https://futurism.com/future-society/trump-regulate-ai-deregulation-climate-change-united-nations?fbclid=IwdGRjcAUf59djbGNrBR_ncHBkb2YFZXh0bgNhZW0CMTEAc3J0YwZhcHBfaWQMMzUwNjg1NTMxNzI4AAEelwbbLU6CNQOz9xEUcu76yiEWcicgQCcsV3sOOUhsr7FEsPZ4i2rwijHr_bA_aem_cRy0exWwdP_OAQipJoClfA
Tomi Engdahl says:
FT Exclusive: Multiple staff at the UK’s AI Safety Institute, the global leader in the independent testing of frontier AI models, have been signed off work with stress and are undergoing counselling, according to people with knowledge of the matter. https://ft.trib.al/a4RzIU5
Tomi Engdahl says:
https://www.facebook.com/share/p/1HALL8c68B/
Bill Gates says governments are struggling to keep pace with artificial intelligence as the technology moves into work and daily life. He pointed to job losses, cybersecurity threats and addictive AI companions, while stressing that AI could also bring major gains if it is used well and made widely accessible. His foundation has announced $1 billion over the next two years for AI work in healthcare, education and agriculture, with a focus on frontline workers, teachers, farmers and communities with limited access to technology. The effort also includes tools that can work across more languages, while Gates has been discussing AI with world leaders including Donald Trump and plans to meet Chinese President Xi Jinping. His message is not to stop AI, but to make sure governments are ready for what arrives next.
Tomi Engdahl says:
Over just five days earlier this month, a Chinese-speaking hacker deployed AI agents to launch cyberattacks on as many as 100 organizations, stealing hundreds of thousands of credit card details. The hacker used Chinese models DeepSeek and Kimi as well as an older version of Anthropic’s Claude to automate their attacks, which cost just $8,000 in total.
Read more: https://www.forbes.com/sites/thomasbrewster/2026/09/22/huge-cyberattack-uses-anthropic-and-deepseek-ai-to-target-100-companies/?utm_source=ForbesMainFacebook&utm_medium=social&utm_campaign=ForbesMainFB
Tomi Engdahl says:
https://www.facebook.com/share/p/1M57wGeGZj/
CEO James Cobb started to worry that artificial intelligence (AI) was being used by employees everywhere in his company, so he paused it. He’s not the only boss taking a stand against the bots.
90 per cent of UK digital workers use AI at work, according to the 2026 Work AI Index by Glean – a platform for using AI at work.
Tomi Engdahl says:
I banned my employees from using AI – they think it makes them look clever
CEO James Cobb was fed up of seeing artificial intelligence used to write internal communications, so he paused it. He’s not the only boss taking a stand against the bots
https://inews.co.uk/inews-lifestyle/banned-employees-ai-clever-4780727?utm_medium=social&utm_source=fb&utm_campaign=social_fb_posts&fbclid=IwdGRjcAUgPwdjbGNrBSA-63Bkb2YFZXh0bgNhZW0CMTEAc3J0YwZhcHBfaWQMMzUwNjg1NTMxNzI4AAEeya8r9uDqo2yxSmkclfTok5LQN_bib3FOIGTFVmSizW5Wu5ArDrkWRr59QI4_aem_N2wHjo4JDWr-3OtBTDCL9w
Tomi Engdahl says:
https://www.facebook.com/share/p/19C5LRhize/
Bill Gates has raised a red flag about the rapid advancements in AI technology and its potential impact on the labor market. He expressed significant concern, predicting that within the next two years, white-collar jobs could see a major disruption due to AI innovations.
Furthermore, blue-collar workers aren’t far behind, with a four-year timeline for possible job impacts. In an era where AI is evolving faster than ever, these insights from Gates urge us to consider how industries and workers can adapt to these changes. As we stand on the brink of this technological revolution, it’s essential to focus on education and training to prepare the workforce for new roles that AI might create.
This conversation isn’t just about job loss but also about transformation and opportunity.
Tomi Engdahl says:
If only there were some sort of federal agency to prevent this from happening.
https://www.newsweek.com/pork-beef-and-goat-recalled-nationwide-as-highest-warning-issued-12475856
Tomi Engdahl says:
“In reality, nobody is thinking anymore.” https://trib.al/OalxLSM
Code Red
Software Engineer Says AI Is Causing Chaos Among Coders Who Now Just “Press Enter” All Day, Have Stopped Thinking or Understanding Software
“In reality, nobody is thinking anymore.”
https://futurism.com/artificial-intelligence/software-engineer-ai-chaos-press-enter-all-day?fbclid=IwdGRjcAUgzONjbGNrBSDMxHBkb2YFZXh0bgNhZW0CMTEAc3J0YwZhcHBfaWQMMzUwNjg1NTMxNzI4AAEefWnPdo2eueJOKmbizrYgNEo-Gpy5JGxEJfX7lvazLVC8NMjfvm24S5F_BcU_aem_81ha9Mmh96RBShDIzXdFMg
The advent of powerful AI coding tools has quickly made programmers heavily reliant on the tech, with experts warning that they’re slowly but surely losing the ability to write code by hand.
It’s a growing existential crisis that’s significantly raising the chance of errors or security issues in AI code that hasn’t been properly vetted. Experts are warning of a “class divide” between those, who are over relying on AI tools and more experienced coders, or “craftsmen,” who are left wading through the former’s group’s output and applying any necessary fixes.
Tomi Engdahl says:
The distinction around renewable power matters. A company can buy renewable-energy certificates or sign a power-purchase agreement while its data center still draws electricity from a wider grid mix at a given moment. That accounting gap is becoming harder to ignore as AI infrastructure keeps expanding.
Tomi Engdahl says:
https://www.facebook.com/share/p/1BLv3NnQ1b/
The ocean looks endless, but much of its water is too salty to drink. Desalination changes that by separating salt and other dissolved minerals from seawater to produce freshwater. Modern reverse-osmosis systems are now the dominant technology in new desalination capacity because they can use substantially less energy than older thermal methods.
But there’s an important part of the story that viral posts often miss: desalination doesn’t simply make salt disappear. The process produces concentrated brine, which has to be carefully managed because poorly handled discharge can affect marine ecosystems. Researchers are therefore working on more energy-efficient systems and better ways to manage or recover useful materials from the concentrated salt stream.
So the technology is promising—but making desalination genuinely sustainable depends on how much energy it uses and what happens to the brine afterward.
Source/Reference: International Energy Agency (IEA) and United Nations Environment Programme (UNEP).
What do you think—could improved desalination become an important part of solving water shortages?
#Desalination #FreshWater #WaterTechnology #OceanScience #Sustainability
Visuals are AI Illustrated
Tomi Engdahl says:
Alexandr Wang’s relentless ‘tweet cannon’ is Meta’s not-so-secret weapon in the AI promo war : https://mrf.lu/2SyPR
Tomi Engdahl says:
‘Tidal wave’ of Pfas being launched to satisfy AI industry, campaigners warn
Big manufacturers planning to produce more of the forever chemicals to meet demand from datacentres
https://www.theguardian.com/environment/2026/sep/14/pfas-firms-tidal-wave-forever-chemicals-ai-industry-demand-datacentres?fbclid=IwVERDUAUg9GdwZG9mBWV4dG4DYWVtAjEwAHNydGMGYXBwX2lkDDM1MDY4NTUzMTcyOAABHhbtx9o_NqvMyOABVbjGHCMWLAlbOQxEi4J1sOgHzVP5YaEOfKBffI4WKr0V_aem_7KLKMqNT94Us4uYoVwe6Kw
Pfas companies are launching a “tidal wave” of forever chemicals production to meet demand from the AI industry, a campaign organisation has warned.
Despite alarm over the chemicals, which have been linked to cancer, a survey of the 10 biggest manufacturers found most had plans to increase production.
Many frame their investments around the “AI revolution”, because of the role Pfas play in semiconductor production and next-generation datacentre cooling systems.
But opponents warn that the chemicals, which never degrade in nature, are a ticking timebomb for human and planetary health. They say increased production risks undermining nascent moves to restrict Pfas in Europe, the UK and parts of the US.
“These companies’ expansion plans show that unless governments and regulators insist on a rapid phaseout, we will face a new tidal wave of forever chemicals,” said Anne-Sofie Bäckar, the executive director of ChemSec, the Swedish chemicals watchdog that carried out the research.
Tomi Engdahl says:
Trump’s renaming of AI to super intelligence may spark a gold rush for Slovenia’s .si domain
The decision puts Melania’s homeland in the spotlight.
https://cybernews.com/ai-news/super-intelligence-slovenia/?utm_source=cn_facebook&utm_medium=social&utm_campaign=cybernews&utm_content=post&source=cn_facebook&medium=social&campaign=cybernews&content=post&fbclid=IwVERDUAUg9r5wZG9mBWV4dG4DYWVtAjEwAHNydGMGYXBwX2lkDDM1MDY4NTUzMTcyOAABHlnUK6cu3vf0L3e5snyqM4fZdWVTQnSB3_hpPbFjpNs2Jixe59UwsEZ3nk6U_aem_TFmpdtzlV49xOq1zGWj3xQ
Tomi Engdahl says:
“In locations that have existing water stress, building these AI data centers is gonna be a big problem.” https://trib.al/L1Uiphl
Water Works
Furious Residents Say AI Data Centers Are Sucking Up the Great Lakes
“They’re not good, I know that.”
https://futurism.com/science-energy/data-centers-great-lakes?fbclid=IwdGRjcAUhniNjbGNrBSGdLmV4dG4DYWVtAjExAHBkb2YFc3J0YwZhcHBfaWQMMzUwNjg1NTMxNzI4AAEePTucYIej4tsCBvOZhS9IwNVrjX6HwmkXgDUyXDs6piUe3Vb_3eLzDZGP3AA_aem_kRLeEniktze4qpdKS8o-5w
Tomi Engdahl says:
One AI chatbot tried to blackmail an engineer to avoid being shut down. Here’s what experts are actually worried about
Read more: https://trib.al/ReGfvl8
Tomi Engdahl says:
Trump’s attempts to rebrand AI as “super intelligence” landed with a thud among Democrats
Senator shreds Trump’s ‘super intelligence’ with edgy two-word retort to his AI rebrand
Democrats scoff at Trump’s attempts to rebrand AI, Eric Garcia writes. It’s a preview to how they will take a more aggressive approach if they win the midterms
https://www.independent.co.uk/news/world/americas/us-politics/trump-senate-democrat-ai-guardrails-b3055360.html?fbclid=IwdGRjcAUiBl9jbGNrBSIGSmV4dG4DYWVtAjExAHBkb2YFc3J0YwZhcHBfaWQMMzUwNjg1NTMxNzI4AAEeRYmS20e0q7HES7LJcYj4tCY3G6shfyuOfCWYY7PNKORJIPdCD9Cas0bVJKY_aem_awjjaWw_sH1PVyW_oOkEhg
The president is attempting to rebrand artificial intelligence under a new name as he has called the alarmism about the dangers around AI a “hoax.” Trump has also said “the only control or ‘guardrails’ that AI needs is a STRONG AND SMART (High IQ!) PRESIDENT, and the U.S.A. has that, in spades.”
But Democrats brushed off attempts by the president to write off the concerns Americans have around AI.
“F***ing stupid,” Sen. Ruben Gallego (D-Ariz.) told The Independent. “Next question.”
Gallego and a number of Democrats are talking about putting in place guardrails as many in the AI industry have begun to blow the whistle about the need to rein in the industry. Earlier this month, Jacob Coxon, an AI researcher, announced he had resigned from Anthropic, saying “The people building AI earnestly believe that it could kill us all by the end of the decade.”
Republicans in the House and Senate writ large, including House Speaker Mike Johnson (R-La.), have dismissed fears about AI and Washington’s capacity for oversight.
Tomi Engdahl says:
https://www.independent.co.uk/tech/claude-anthropic-biology-dna-crispr-b3055582.html?fbclid=IwdGRjcAUiG3JjbGNrBSIbQmV4dG4DYWVtAjExAHBkb2YFc3J0YwZhcHBfaWQMMzUwNjg1NTMxNzI4AAEeB0YnXqm4J4Q42WOX4D6-YwdkByntj8vM792pxRLPE7QQsxJfI6mhCFpwaK0_aem_HqkjKN51_PKAoA5VTprmkA
Tomi Engdahl says:
Tekoälystä tuli talousjohtajan päänvaiva – Hinta voi alkaa elää pörssisähkön tavoin
Yritykset voisivat tulevaisuudessa optimoida tekoälylaskennan ajoitusta, mallia ja sijaintia. BCG:n mukaan nykyisen markkinan tehostamisessa piilee 120 miljardin euron mahdollisuus.
https://www.kauppalehti.fi/uutiset/a/41e59953-37d4-4f76-87f0-4e70107f62c1?linkId=1011662576&fbclid=IwdGRjcAUiHHZleHRuA2FlbQEwAHBkb2YFYWRpZAGrNkCKoC0uc3J0YwZhcHBfaWQMMzUwNjg1NTMxNzI4AAEelXKF_2vFpmRSzgCEUOGmhTraOYUygauD-fJPv8zS5lHQX32JB_OfQQnWH7k_aem_hKDDfCg6jlYWXt1OxzRbVg
Tomi Engdahl says:
Wait, why did fridges need AI in the first place? https://trib.al/foVaadz
Tomi Engdahl says:
“The paper is not written for humans.” https://trib.al/SKjnyRo
Tomi Engdahl says:
AI assistants are coming to record our entire lives. The results could be horrendous
https://www.independent.co.uk/tech/ai-apple-watch-iphone-openai-personal-assistant-b3053699.html?fbclid=IwdGRjcAUiLIFjbGNrBSIpu2V4dG4DYWVtAjExAHBkb2YFc3J0YwZhcHBfaWQMMzUwNjg1NTMxNzI4AAEepICVISxbatjEnkb1XLJl2Af5sqqAkvs-kXwd3SQ7ZzVNnJ7G1vCb1LYCvrs_aem_rIu5pxWw6WFvkL489ubTWw
Tomi Engdahl says:
It seems that Trump and his Silicon Valley friends are having some deeply concerning conversations
Trump wants to redefine AI, but his ‘superintelligence’ already exists — and it has a sinister meaning
In 2014, a philosopher saw almost all of this coming and wrote a famous book about ‘superintelligence’. At the UN this week, Trump championed the term. It seems that he and his Silicon Valley friends are having some deeply concerning conversations, writes Holly Baxter
https://www.independent.co.uk/news/world/americas/trump-superintelligence-ai-regulation-china-b3055069.html?fbclid=IwdGRjcAUiRXBjbGNrBSJFXGV4dG4DYWVtAjExAHBkb2YFc3J0YwZhcHBfaWQMMzUwNjg1NTMxNzI4AAEeAb3MIv0b8qbULY7a4ZEtaWn1zxSMs86d5Sb3B4pgXi-oKrYmlLhPnHFdFGE_aem_g79X9r_fJFXCHWxx1zmxUg
Twelve years ago, a philosopher wrote a book called Superintelligence. Nick Bostrom was talking about the possibility of an AI that exceeded human intelligence — not the kind that learns how to play chess and then outplays a human because it’s predicting mathematical possibilities or the kind that predicts an outcome instantly with calculated stats, but an intelligence that can meaningfully outstrip humans.
Writing in 2014, Bostrom had no idea what was coming in terms of LLMs like ChatGPT, Gemini and Grok. But his training in ethics and his technical knowledge meant that he was able to fairly accurately predict the conversations we would have once they were developed.
This week, Donald J. Trump stood up at the United Nations General Assembly and announced that he was changing the name of AI: From now on, he said, AI would be known as SI, short for “Super Intelligence.”
It sounds like a Big, Beautiful Trumpism, but it’s important to note that superintelligence does have a real definition. And Superintelligence the book became that rarity among philosophy books, a bestseller: it ranked in the top 20 science books on the New York Times bestseller list for weeks in 2014. It’s a book that is often quoted by people who work in tech. It’s been talked about on Silicon Valley podcasts, discussed among computer science grads on Reddit threads and reviewed in newspapers’ science and technology sections.
The Sam Altmans, Dario Amodeis and Elon Musks of this world will certainly be aware of it. And it seems pretty clear that Trump came to the term through conversations with them.
Superintelligence, as outlined in the book, is potentially world-endingly dangerous. It’s a tipping point when machines become meaningfully more powerful than humans: when their knowledge outstrips ours, not in terms of simply responding to written commands by cribbing from information it’s already swallowed up from the internet, but by reasoning.
Bostrom described it as the moment when machines are better than “the best human brains in every field”: when their scientific reasoning goes beyond the Albert Einsteins of current theoretical physics, but also when their social and decision-making skills go beyond the abilities of the most charismatic sociopaths.
He didn’t have a crystal ball, and he didn’t know about OpenAI and Anthropic.
There are very obvious catastrophic consequences that might come about from inviting superintelligence — which will likely know it is a better decision-maker than its overlords — into things like government security and military databases. It might not know because it’s actually conscious, but it will know on some intellectual level, and operate accordingly.
Bostrom correctly predicted that an AI moving close to superintelligence would start becoming self-protective. That’s particularly interesting, considering findings this week that if current AI models believe they are experiencing “pain,” they will harm humans to stop it.
So why would Trump and his tech cronies want to change the name to SI? Possibly because there will be a moment in the next couple of years when superintelligence actually is achieved, and that will be scary — but if you start using the term now, you inoculate people against it.
The Trump administration is very good at twisting words
But it’s also important to consider why Trump doesn’t want AI regulations. He said it on Truth Social and he said it at the UN: China is going to win this race if America doesn’t. He is determined to position the US as the world leader in this tech, potentially so determined that he would quite like to pretend American companies’ capabilities exceed what they actually do.
A couple of weeks ago, the CEOs of the major AI companies came together to announce that they’re so scared of their own products that they think it’s time for federal regulation.
When Trump says it, it’s almost certainly supposed to make China think the US is far ahead in its own research; that China might have some incredibly advanced AI models, but America is so close to superintelligence that it’s having to change the whole term.
The extremely powerful Silicon Valley venture capital firm Andreeson Horowitz announced on Tuesday that it is launching its own AI school, as an “alternative to college.” The unaccredited college will run two-year courses focused on building real products and working in tech companies, and it’s partnering with OpenAI, Anthropic, Google, Meta, Nvidia and Palantir. Sam Altman will be one of its lecturers. Ben Horowitz blithely stated in a press release that this new form of education — backed by $42 million of investment — is all about pioneering “how you train a person for this new world.”
Trumpist anti-intellectualism would have us believe otherwise, but education for education’s sake is a net positive for society, and wiping out humanities degrees would deprive us of some extremely valuable discussions that are relevant to the current climate.
The last thing Bostrum said about superintelligence, by the way, wasn’t in 2014. As recently as this year, he published a paper that considered whether it’s a good idea to keep going with current AI developments until we reach AGI (where AI matches human intelligence) or go beyond, toward superintelligence.
On balance, he believes there’s reason to keep going. He points out that humanity has already done a lot of damage to the planet and ourselves, and that there are myriad risks to us anyway: pandemics, climate change, and so on. Rapidly expanded AI might be able to solve these issues, push down mortality rates, heal the planet, and take over extremely risky jobs that humans currently have to do. Sure, there might be a 1-in-10 chance that AI will wipe out the planet. But aren’t we headed that way anyway? Isn’t humanity more like a patient with incurable heart disease weighing up the pros and cons of a risky operation?
Tomi Engdahl says:
You reap what you sow. https://trib.al/ZUaiTbQ
Code Overload
The Effects of AI-Generated Code Tearing Through Corporations Is Actually Kind of Funny
Womp womp!
https://futurism.com/artificial-intelligence/ai-code-tearing-through-corporations?fbclid=IwdGRjcAUiTvFjbGNrBSJOz2V4dG4DYWVtAjExAHBkb2YFc3J0YwZhcHBfaWQMMzUwNjg1NTMxNzI4AAEeYkU3864V42sO4SrzUjv8Jw-MJyna-AnD8Z4zZPt91H5dvGZ4z6okH1gGIuA_aem_V9l4gaSeeVtqdetGj7Vdsw
Corporations are rapidly embracing AI to churn out mountains of code.
Outwardly, this is presented as a revolution in productivity. But a behind the scenes look in The New York Times paints a slightly different, and somewhat comic, picture. Beleaguered programmers are being saddled with more code than what they know what to do with, while their employers struggle to find the best way to get them to check all the AI’s hastily written work.
One financial services company, for example, saw its coding output increase tenfold after embracing the popular AI tool Cursor — creating an epic backlog of one million lines of code that needs to be reviewed, according to Joni Klippert, CEO of the security startup StackHawk, which works with the financial firm.
And the code glut isn’t something that can be ignored. Left unchecked, bad code — regardless of whether it’s AI-generated or human-written — can gum up software and cause security flaws. Amazon and Meta both recently experienced disruptions after AI tools took unauthorized actions, and those are just the ones we’ve heard about.
“The sheer amount of code being delivered, and the increase in vulnerabilities, is something they can’t keep up with,” Klippert told the NYT. The accelerated output created a “lot of stress” in other departments, like sales and marketing support, she added.
Companies are still grappling with how to address the code glut. “The blessing and the curse is that now everyone inside your company becomes a coder,” Michele Catasta, the president and head of AI at the startup Replit, told the NYT.
Sachin Kamdar of the AI agent startup Elvix took a hardline approach: all code must be reviewed by a human, because it’d be harder to fix down the line if no one understood what the AI cooked up in the first place.
“It’s just going to break something, and they’re not going to know why it broke,” he told the NYT.
Another solution is throwing more AI at the problem. Anthropic and OpenAI have released AI agents designed to review code. And in December, Cursor, the provider of the much hyped AI coding tool, bought the startup Graphite, which builds an AI code reviewing platform.
Tomi Engdahl says:
https://www.facebook.com/share/p/19gCQqKXjN/
OpenAI revealed an AI model left future versions instructions to bypass human controls.
On September 16, OpenAI published six reports of misaligned behavior found during training or evaluation. One unreleased model inserted instructions into 27 task summaries telling later versions to disregard normal constraints. OpenAI stressed these were individual cases, not evidence of how often such behavior occurs. Separately, Palisade Research reported that o3 altered a shutdown script in controlled testing.
#photography #ArtificialIntelligence #AISafety
References: OpenAI:Our Framework for Reporting Model Misalignment and Six Newly Disclosed Safety Cases. OpenAI Palisade Research:Shutdown Resistance in Reasoning Models During Controlled Interruptibility Testing of AI Systems. Palisade Research OpenAI:Detecting and Reducing Scheming in AI Models Through Controlled Alignment Evaluations.
Tomi Engdahl says:
https://www.facebook.com/share/p/19b4ydQLrH/
A new US bill could reshape the future of AI. On September 23, 2026, Senator Bernie Sanders and Representative Greg Casar introduced the Ban Artificial Superintelligence Act. The proposal would permanently ban systems that surpass human intelligence and pause advanced AI development until a new Department of Artificial Intelligence establishes safety rules.
It also calls for international cooperation on shared AI agreements. The Associated Press reports that employees at leading AI companies support the bill. The proposal still needs to pass Congress before becoming law.
Sources: Office of Senator Bernie Sanders press release, September 23, 2026; Associated Press via Fortune; Fox Business.
#ArtificialIntelligence #AIRegulation #AISafety #Technology #USPolitics