AI trends 2026

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

Processing AI tasks locally on phones, wearables, or edge devices will increase, helping with privacy, lower latency, and offline capabilities — especially crucial for real-time scenarios (e.g., IoT, healthcare, automotive).

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”

215 Comments

  1. Tomi Engdahl says:

    Developer Released PowerShell Script To Remove AI Features In Windows 11
    #News
    #AI
    Remove Windows AI does exactly what its name suggests.
    https://80.lv/articles/developer-released-powershell-script-to-remove-ai-features-in-windows-11

    Reply
  2. Tomi Engdahl says:

    Developer writes script to throw AI out of Windows
    Satya Nadella’s call to accept and embrace desktop brainboxes faces skepticism
    https://www.theregister.com/2026/01/13/script_removes_ai_from_windows/

    Reply
  3. Tomi Engdahl says:

    Musk’s AI tool Grok will be integrated into Pentagon networks, Hegseth says
    Defense secretary says AI tool will join military systems later this month as it comes under fire for sexual imagery
    https://www.theguardian.com/technology/2026/jan/13/elon-musk-grok-hegseth-military-pentagon

    Reply
  4. Tomi Engdahl says:

    ‘Star Trek Real’: Hegseth Praises Grok for Allowing Users to Fight Wars
    “We will win this race by becoming an AI-first war-fighting force across all domains,” the Defense Secretary said Monday.
    https://gizmodo.com/star-trek-real-hegseth-praises-grok-for-allowing-users-to-fight-wars-2000709787

    Reply
  5. Tomi Engdahl says:

    Valtteri Taube alkoi kirjoittaa tekoälyllä somepäivityksiä – lopputulos valtava menestys: tilauksia lähes 500 000 euron edestä
    Yritysjohtajan Linkedin-profiili voi tuottaa liikevaihdosta valtaosan. Johtaja voi ulkoistaa somepäivitykset tekoälylle tai haamukirjoittajalle.
    https://yle.fi/a/74-20203855

    Reply
  6. Tomi Engdahl says:

    https://huggingface.co/papers/2601.09688
    DeepResearchEval: An Automated Framework for Deep Research Task Construction and Agentic Evaluation

    Reply
  7. Tomi Engdahl says:

    https://pluralistic.net/2026/01/13/not-sorry/#mere-billions

    I’m sorry! I’m a technology writer, which means I’m supposed to be encouraging you to throw hundreds of billions of dollars at the money-losingest technology in human history, AI. No one has ever lost as much money as the AI companies.

    There is no way to operate one of Nvidia’s big AI-optimized GPUs without losing money. The owners of these GPUs who have lost the least money are the ones who rushed into buying GPUs without ensuring they’d have electricity to power them, and have been forced to leave their GPUs to age in warehouses. The minute they plug in those GPUs, they’ll start losing money, and the more they use them, the more money they’ll lose.

    Reply
  8. Tomi Engdahl says:

    Kotimaisen tekoälypelin kehittäjä päätti poistaa luomuksensa Steamista, kun uusi tyttöystävä kutsui peliä “häpeäpilkuksi”
    https://muropaketti.com/pelit/peliuutiset/kotimainen-tekoalypelin-kehittaja-paatti-poistaa-luomuksensa-steamista-kun-uusi-tyttoystava-kutsui-pelia-hapeapilkuksi/

    Tekoälyn käyttöä pelikehityksessä ei ole yleisesti ottaen katsottu hyvällä, ja useat kehittäjät ovat joutuneet sen takia monien tähtäimeen.

    Balatron hengessä tehty AI-generoitu roguelike-korttipeli Hardest tuli saataville vuonna 2025, mutta nyt sen kotimainen kehittäjä Eero Laine on Kotakun mukaan luvannut vetää pelin pois Steamista. Syy pelin poistamiseen Laineen uuteen tyttöystävään, joka on kutsunut peliä “häpeäpilkuksi koko pelialaa kohtaan”.

    Reply
  9. Tomi Engdahl says:

    High Latency
    AI Data Centers Are an Even Bigger Disaster Than Previously Thought
    “No wonder my new contacts in the industry shoulder a heavy burden — heavier than I could ever imagine. They know the truth.”
    https://futurism.com/future-society/ai-data-centers-finances

    In August, the founder of hedge fund Praetorian Capital Harris “Kuppy” Kupperman penned an essay on the absurd finances behind AI data centers. While the tech industry has likened data centers — or more specifically, the expensive semiconductor chips that power them — as the “shovels” of the AI gold rush, Kupperman’s napkin math found that AI data centers have an impossibly short runway to achieve profitability.

    In short, this is because data center components age rapidly, either made obsolete through rapid advances in technology, or broken down over years of constant, high-powered usage.

    After publishing his initial findings, Morningstar reports that Kupperman got an earful from anxious professionals in the data center industry. Thanks to those conversations, the investment manager realized he made a crucial mistake — and that because of it, his grim prediction may not have been cynical enough.

    “I clearly hit a nerve in the industry, when judging by the number of individuals who reached out to chat,” he wrote in an followup blog post. “In total, I’ve spoken with over two-dozen rather senior people in the datacenter universe, and there was an interesting and overriding theme to our conversations; no one understands how the financial math is supposed to work. They are as baffled as I am, and they do this for a living.”

    “I had previously assumed a 10-year depreciation curve, which I now recognize as quite unrealistic based upon the speed with which AI datacenter technology is advancing,” Kupperman wrote. “Based on my conversations over the past month, the physical data centers last for three to ten years, at most.”

    In his previous analysis, Kupperman assumed it would take the tech industry $160 billion of revenue to break even on data center spending in 2025 alone. And that’s assuming an incredibly generous 25 percent gross margin — not to mention the fact that the industry’s actual AI revenue is closer to $20 billion annually

    “In reality, the industry probably needs a revenue range that is closer to the $320 billion to $480 billion range, just to break even on the capex to be spent this year,” Kupperman posited in his updated essay. “No wonder my new contacts in the industry shoulder a heavy burden — heavier than I could ever imagine. They know the truth.”

    For example, how does it all shake out when we account for 2026, when hundreds of new data centers are expected to pop up?

    “Adding the two years together, and using the math from my prior post, you’d need approximately $1 trillion in revenue to hit break even, and many trillions more to earn an acceptable return on this spend,” he writes.

    “If the economics don’t work, doing it at massive scale doesn’t make the economics work any better — it just takes an industry crisis and makes it into a national economic crisis,” he concludes.

    Overall, the pessimists broadly agree: it’s no longer a matter of if AI is massively overhyped, but when the whole thing comes crashing down.

    Reply
  10. Tomi Engdahl says:

    Not sounding too confident about AI not being a bubble. https://trib.al/7qRY2se

    The CEO of Microsoft Suddenly Sounds Extremely Nervous About AI
    Not sounding too confident about AI not being a bubble.
    https://futurism.com/artificial-intelligence/microsoft-ceo-nervous-ai?utm_sf_post_ref=656161591&utm_sf_cserv_ref=352364611609411&fbclid=IwdGRjcAPdYWpjbGNrA91hPWV4dG4DYWVtAjExAHNydGMGYXBwX2lkDDM1MDY4NTUzMTcyOAABHrymS-Mu2eoaAonJYW07JhG4AXun1f2dGp9FBnRCv0evllXuA5aiB8vfqE-2_aem_Wy9dQHtgT4-OGLhtsRkULw

    It sounds like Microsoft CEO Satya Nadella is already coming up with excuses in case the whole AI boom turns out to be a massive bust— which, by the way, he’s warning might come to pass.

    Speaking at the World Economic Forum at Davos, Switzerland on Tuesday, Nadella pontificated about what would constitute such a speculative bubble, and said that the long-term success of AI tech hinges on it being used across a broad range of industries — as well as seeing an uptick in adoption in the developing world where it’s not as popular, the Financial Times reports. If AI fails, in other words, it’s everyone else’s fault for not using it.

    “For this not to be a bubble by definition, it requires that the benefits of this are much more evenly spread,” Nadella said, as quoted by the FT. The “tell-tale sign of if it’s a bubble,” he added, would be if only tech companies were benefitting from the rise of AI.

    Nadella is adamant that these kinds of boosts that AI provides will justify AI and carry the industry, stressing less spectacular and more practical applications of the tech.

    “I’m much more confident that this is a technology that will, in fact, build on the rails of cloud and mobile, diffuse faster, and bend the productivity curve, and bring local surplus and economic growth all around the world,” he proclaimed.

    Nadella’s anxiety-tinged and more mundane-sounding forecasts for AI’s future comes as he’s been notably defensive about AI lately, as Microsoft reaffirms its commitment to spend tens of billions more on data centers and other AI-related costs.

    Earlier this month, he begged the public to stop using the term “slop,” the rapidly accepted new lingo for describing the shoddy text, images, and videos churned out by AI models, which Merriam-Webster crowned word of the year. Nadella’s thesis seemed to be that we should stop being mean about AI as it refines its “jagged edges” — which could take a while, by his own admission.

    He isn’t alone in tamping down his promises for AI as a cloud of uncertainty looms over the industry, with experts continuing to raise the specter of AI progress hitting a wall, and noting that years into the AI boom, the tech still hasn’t yielded meaningful gains in productivity.

    Striking a similar tone, OpenAI CFO Sarah Friar declared that the company will focus on “practical adoption” of AI in 2026, and “how people, companies, and countries are using it day to day.” ChatGPT users will soon get a first hand look of what this pivot to practical economics looks like: last week, the company announced that free users will start being targeted with sponsored ads and content based on their conversations.

    Reply
  11. Tomi Engdahl says:

    “You went to an elite school, and you studied philosophy; hopefully you have some other skill.” https://trib.al/8wRDEl7

    CEO of Palantir Says AI Means You’ll Have to Work With Your Hands Like a Peasant
    “You went to an elite school, and you studied philosophy; hopefully you have some other skill.”
    https://futurism.com/future-society/palantir-ai-labor-hands?utm_sf_cserv_ref=352364611609411&utm_sf_post_ref=656736567&fbclid=IwdGRjcAPfF0ZjbGNrA98XMWV4dG4DYWVtAjExAHNydGMGYXBwX2lkDDM1MDY4NTUzMTcyOAABHhWsVMZOnn1-0MoxWVJF5qPNgpf5qFx-GENAimntVLRpsGIm4EwaPsLSv8Ix_aem_xiYhrkYN_tBxa3R4wq1idQ

    Wondering what your career looks like in our increasingly uncertain, AI-powered future? According to Palantir CEO Alex Karp, it’s going to involve less of the comfortable office work to which most people aspire, a more old fashioned grunt work with your hands.

    Speaking at the World Economic Forum yesterday, Karp insisted that the future of work is vocational — not just for those already in manufacturing and the skilled trades, but for the majority of humanity.

    Reply
  12. Tomi Engdahl says:

    Old fashioned grunt work with your hands could be taken by AI controlled robots on some other visions.

    https://youtu.be/zii2FiFBl5k?si=T3DXQ-eJGVMlzAl7

    Reply
  13. Tomi Engdahl says:

    They’re worried they’re not spending enough on AI. https://trib.al/opHbbY1

    Dude, Where’s My Return?
    Majority of CEOs Alarmed as AI Delivers No Financial Returns
    They’re worried they’re not spending enough on AI
    https://futurism.com/artificial-intelligence/ceos-ai-returns?utm_sf_cserv_ref=352364611609411&utm_sf_post_ref=657535035&fbclid=IwdGRjcAPfdVBjbGNrA991G2V4dG4DYWVtAjExAHNydGMGYXBwX2lkDDM1MDY4NTUzMTcyOAABHinYXqt9o9S7flOG5Qr0cN14yFcCErAWM_4IC20BTiB3C4MNmNnmrx9IuJ8i_aem_M0VfC8NrAiMxk7v3-qg26A

    Investors continue to fret over an AI bubble “reckoning,” as gains in productivity from the tech remain elusive.

    According to a recent survey by professional services network PwC, more than half of the 4,454 CEO respondents said “their companies aren’t yet seeing a financial return from investments in AI.”

    Reply
  14. Tomi Engdahl says:

    “A small group of companies are already turning AI into measurable financial returns, whilst many others are still struggling to move beyond pilots,” said PwC global chairman Mohamed Kande in a statement. “That gap is starting to show up in confidence and competitiveness, and it will widen quickly for those that don’t act.”

    PwC also pointed out that most companies were lacking the “AI foundations, such as clearly defined road maps and sufficient levels of investment” to realize a return.

    https://futurism.com/artificial-intelligence/ceos-ai-returns?utm_sf_cserv_ref=352364611609411&utm_sf_post_ref=657535035&fbclid=IwdGRjcAPfdc1jbGNrA991G2V4dG4DYWVtAjExAHNydGMGYXBwX2lkDDM1MDY4NTUzMTcyOAABHinYXqt9o9S7flOG5Qr0cN14yFcCErAWM_4IC20BTiB3C4MNmNnmrx9IuJ8i_aem_M0VfC8NrAiMxk7v3-qg26A

    Reply
  15. Tomi Engdahl says:

    Last year, a frequently-cited MIT report found that a staggering 95 percent of attempts to incorporate generative AI into business so far are failing to lead to “rapid revenue acceleration.”

    The effectiveness of the tech itself has also repeatedly been called into question, from frequent hallucinations and an inability to complete real-world office tasks to ongoing concerns over data security.

    The topic of tangible returns on investment from AI is bound to be a major focus this year as executives wonder how to translate all that hype into real-world implementations — and whether it’ll actually help their bottom lines in the long run.

    https://futurism.com/artificial-intelligence/ceos-ai-returns?utm_sf_cserv_ref=352364611609411&utm_sf_post_ref=657535035&fbclid=IwdGRjcAPfdgljbGNrA991G2V4dG4DYWVtAjExAHNydGMGYXBwX2lkDDM1MDY4NTUzMTcyOAABHinYXqt9o9S7flOG5Qr0cN14yFcCErAWM_4IC20BTiB3C4MNmNnmrx9IuJ8i_aem_M0VfC8NrAiMxk7v3-qg26A

    Reply
  16. Tomi Engdahl says:

    Terrified Investors Are Bracing for an AI Bubble “Reckoning”
    “Some of the valuations are insane.”
    https://futurism.com/artificial-intelligence/investors-bracing-ai-bubble-reckoning?fbclid=IwVERDUAPfdjBleHRuA2FlbQIxMABzcnRjBmFwcF9pZAwzNTA2ODU1MzE3MjgAAR7OHRlRfnFP-Sddy1I2c7cIMfKt_Pazr_bTU4H3DQQv10l0pZ2CGOi1jIa3vw_aem__KMZad3bPRXwl7JHThKthA

    Fears over a growing AI bubble that could wipe out the entire economy if it were to burst continue to mount.

    For many months now, investors and even tech leaders have openly been discussing the possibility — but if or when such a collapse could take place remains a subject of heated debate.

    Nonetheless, investors are already preparing for that type of major tech sell-off, the Financial Times reports. The reporting shows that plenty of fear and uncertainty remain over the untold billions of dollars being poured into wildly unprofitable AI ventures — a dynamic that’s seen AI companies’ valuations skyrocket to record heights, despite dubious prospects of ever turning a profit.

    Some are pulling back on their investments in major tech stocks, while others are outright betting on eventual drops in share prices.

    “Whether there are excesses… in the equity market on AI is no longer questionable, but to figure out which exact companies will be the losers and when this reckoning will happen is difficult,” fund management firm Amundi chief investment officer Vincent Mortier told the FT.

    One investment fund, Blue Whale Growth, sold its Microsoft and Meta stock in the second quarter of last year, with chief investment officer Stephen Yiu telling the newspaper that “we are concerned about the return on investment in some cases, while some of the valuations are insane — especially in private markets.”

    GQG Partners chair Rajiv Jain added that “AI’s massive cash burn remains elevated with very little profitability in sight.”

    His fund sold all of its Magnificent Seven — investor shorthand for Alphabet, Amazon, Apple, Tesla, Meta Platforms, Microsoft, and Nvidia — holdings.

    At the same time, many remain unafraid of an imminent collapse.

    “We don’t believe that we are in a bubble,” BlackRock international chief investment officer Helen Jewell told the FT, “but investors should prepare for a bumpy ride in 2026.”

    “2026 should be another strong year for AI stocks, with capex likely to surpass expectations,” JPMorgan’s Dubravko Lakos-Bujas wrote in a memo.

    Others are far more muted about the outlook. Three years on from OpenAI’s launch of ChatGPT, some are starting to wonder how long the enormous hype surrounding AI can continue to be sustained.

    Ray Dalio warned that the tech market is “now in the early stages of a bubble.”

    But a crash, some argue, may still be some ways away thanks to plenty of remaining excitement.

    “A bubble likely crashes on a bear market,” Cetera Financial Group chief investment officer Gene Goldman told Bloomberg. “We just don’t see a bear market anytime soon.”

    Reply
  17. Tomi Engdahl says:

    Geoffrey Hinton said he is concerned that the AI he helped develop poses risks that are not being taken seriously.

    #ai #technology #tech

    The ‘Godfather of AI’ says he’s ‘very sad’ about what his life’s work has become : https://mrf.lu/L3y8

    Reply
  18. Tomi Engdahl says:

    Geoffrey Hinton said he’s very sad that the AI he helped create has become dangerous and ignored.
    Hinton, the Godfather of AI, said that machines could outsmart humans and resist shutdown.
    He said failing to research coexistence with smarter AI could prove catastrophic for humanity.
    “Very sad.”
    https://www.businessinsider.com/godfather-ai-geoffrey-hinton-on-ai-sad-dangerous-2026-1?fbclid=IwdGRjcAPfgWdjbGNrA9-BO2V4dG4DYWVtAjExAHNydGMGYXBwX2lkDDM1MDY4NTUzMTcyOAABHpIQtM1S_r14l7TWTj7hzudKAs7QRkuyxxpZv71Tb6I0Fj0lyBt6MYiyQwTf_aem_vvbAP37fZ_YcL7FfYqF46w&utm_campaign=mrf-insider-marfeel-headline-graphic&mrfcid=20260122697254d7e98283007d07f1e3

    Reply
  19. Tomi Engdahl says:

    The only place we want a copilot is airplanes

    redd.it/1qcg28s

    Reply
  20. Tomi Engdahl says:

    “They straight up took my data and used it against me to capture me further and make me even more delusional.” https://trib.al/zTWnCsS

    Reply
  21. Tomi Engdahl says:

    Microsoft CEO Satya Nadella has cautioned that AI could turn into a speculative bubble if its adoption remains limited to major technology firms and affluent economies.

    Speaking today, Nadella emphasized that the technology’s long-term viability hinges on widespread use across diverse industries and stronger uptake in developing regions.

    “For this not to be a bubble by definition, it requires that the benefits of this are much more evenly spread,” said Nadella.

    He added that a key warning sign of a bubble would be a scenario where only technology companies reap the rewards of AI’s growth, while other sectors see little impact.

    https://www.facebook.com/share/p/1TEg6SSStA/

    Reply
  22. Tomi Engdahl says:

    Nvidia allegedly trained its AI on 500 terabytes of pirated books, says court filing
    Nvidia requested access to the ‘open source library’ Anna’s Archive, despite indications that the data was in part pirated.
    https://www.pcgamesn.com/nvidia/ai-pirated-books?fbclid=IwdGRjcAPf7b9jbGNrA9_tpWV4dG4DYWVtAjExAHNydGMGYXBwX2lkDDM1MDY4NTUzMTcyOAABHhkNzv503sVfEOEoY6HnNUYW8naPkoASkxMj4nqXLhppX_z3N2bj6Vu1-pIg_aem_RcNbUTuvHLikbqzcFGGDDg

    Nvidia is in the midst of a class action lawsuit brought about by several authors, citing alleged copyright infringement for the company’s LLM AI models. New documents from that case have come to light, showing that Nvidia employees directly requested access to 500 terabytes of book archives known to contain pirated data.

    The documents come from the complainant in this case and show emails from Nvidia employees requesting access to the Anna’s Archive repository of books and other online works. The documents then suggest that it was made clear to the Nvidia employee that this archive contained “millions of pirated books” and that despite this “the green light” was given to access the data.

    What’s more, the documents, which were shared by Torrentfreak, allege that Anna’s Archive also offered Nvidia access to “several million books from Internet Archive,” which were normally only accessible through the Internet Archive’s digital lending system. The filing concludes this section by saying that “by downloading Anna’s Archive, Nvidia pirated additional copies of Plaintiff’s Infringed Works.”

    The authors also go on to accuse Nvidia of using other pirated sources, such as the Books3 database, LibGen, Sci-Hub, and Z-Library.

    Terraria 1.4.5 finally has a release date
    What’s more, the documents, which were shared by Torrentfreak, allege that Anna’s Archive also offered Nvidia access to “several million books from Internet Archive,” which were normally only accessible through the Internet Archive’s digital lending system. The filing concludes this section by saying that “by downloading Anna’s Archive, Nvidia pirated additional copies of Plaintiff’s Infringed Works.”

    The authors also go on to accuse Nvidia of using other pirated sources, such as the Books3 database, LibGen, Sci-Hub, and Z-Library.

    nvidia anna archive lawsuit doc 01

    Anna’s Archive is an open source search engine and is also considered by some to be what’s known as a shadow library. A shadow library is an online repository of freely available data that is otherwise normally paywalled or access-restricted. The focus of these repositories often tends to be scientific papers and scholarly journals, but can also extend to general interest books, audiobooks, comics, and more.

    Anna’s Archive proclaims itself the “largest truly open library in human history” and aggregates several other shadow libraries, such as LibGen, Sci-Hub, and Z-Library.

    No proof of the data being used is shown in the documents

    However, it has previously admitted to using the likes of the Books3 dataset, which includes many copyrighted works. Defending this use, Nvidia claimed that it’s not liable to copyright law, as AI models don’t read in the way that humans do, but simply “measure[s] statistical correlations in the aggregate, across a vast body of data.”

    Defending this use, Nvidia claimed that it’s not liable to copyright law, as AI models don’t read in the way that humans do, but simply “measure[s] statistical correlations in the aggregate, across a vast body of data.”

    “Plaintiffs cannot use copyright to preclude access to facts and ideas, and the highly transformative training process is protected entirely by the well-established fair-use doctrine. […]

    Reply
  23. Tomi Engdahl says:

    Nvidia beats Apple to become chipmaker TSMC’s biggest customer, and I’m not sure that’s a good thing
    Nvidia has leapt from bringing to TSMC less than half the revenue of Apple in 2024, to now overtaking Apple’s previously dominant position.
    https://www.pcgamesn.com/nvidia/tsmcs-biggest-customer?fbclid=IwVERDUAPf7xxleHRuA2FlbQIxMABzcnRjBmFwcF9pZAwzNTA2ODU1MzE3MjgAAR6Qam4TTx649jtlQ-5aExeBDSHwkCNkzgptnXq7SFIaGIuaKRR7TojhNMIa1g_aem_EVKltgjY-uDrBQ45eRVNGw

    In case it wasn’t already abundantly clear, Nvidia is doing pretty well right now, thanks mainly to demand for its AI processors. However, the true scale of its might has been made even more transparent by the revelation that it has now overtaken Apple to become the biggest customer of Taiwanese chip-making giant, Taiwan Semiconductor Manufacturing Company (TSMC).

    Where in 2024, Nvidia provided just 11% of TSMC’s revenue, coming in a distant second place to Apple’s colossal 25% contribution, Nvidia has now apparently overtaken Apple. Not only is this a strong indication of just how much AI is impacting the world, but it reportedly has implications for the prices Apple is set to pay for production of its chips,

    Reply
  24. Tomi Engdahl says:

    Huang also noted that “we were his largest customer during the PC revolution, and now we’re the largest again.”

    Reply
  25. Tomi Engdahl says:

    You Probably Don’t Need a Vector Database for Your RAG — Yet
    Numpy or SciKit-Learn might meet all your retrieval needs
    https://towardsdatascience.com/you-probably-dont-need-a-vector-database-for-your-rag-yet/

    Right now, off the back of Retrieval Augmented Generation (RAG), vector databases are getting a lot of attention in the AI world.

    Many people say you need tools like Pinecone, Weaviate, Milvus, or Qdrant to build a RAG system and manage your embeddings. If you are working on enterprise applications with hundreds of millions of vectors, then tools like these are essential. They let you perform CRUD operations, filter by metadata, and use disk-based indexing that goes beyond your computer’s memory.

    Reply
  26. Tomi Engdahl says:

    Cursor’s agent swarm tackles one of software’s hardest problems and delivers a working browser
    https://the-decoder.com/cursors-agent-swarm-tackles-one-of-softwares-hardest-problems-and-delivers-a-working-browser/

    Key Points
    Cursor deployed hundreds of autonomous AI agents to build a functional web browser with its own rendering engine in nearly a week.
    Initial attempts with flat hierarchies failed as agents became risk-averse and bottlenecked, but success came through clear role separation: Planners create tasks, Workers execute them, and a Judge Agent determines completion.
    Cursor found that prompt design matters more than infrastructure and that GPT-5.2 outperforms coding-specific models for planning, with ongoing projects including a Windows 7 emulator with 1.2 million lines of code and an Excel clone with 1.6 million lines.

    Reply
  27. Tomi Engdahl says:

    https://www.anthropic.com/news/claude-new-constitution

    We’re publishing a new constitution for our AI model, Claude. It’s a detailed description of Anthropic’s vision for Claude’s values and behavior; a holistic document that explains the context in which Claude operates and the kind of entity we would like Claude to be.

    The constitution is a crucial part of our model training process, and its content directly shapes Claude’s behavior. Training models is a difficult task, and Claude’s outputs might not always adhere to the constitution’s ideals. But we think that the way the new constitution is written—with a thorough explanation of our intentions and the reasons behind them—makes it more likely to cultivate good values during training.

    Reply
  28. Tomi Engdahl says:

    I used Claude Code to vibe code a Mac app in 8 hours, but it was more work than magic
    The illusion vanished fast once I treated Claude Code like a remote junior developer.
    https://www.zdnet.com/article/i-used-claude-code-to-vibe-code-mac-app/

    Reply
  29. Tomi Engdahl says:

    A cheat sheet to slash commands in GitHub Copilot CLI
    Run tests, fix code, and get support—right in your workflow. Stay focused and let Copilot handle the busywork.
    https://github.blog/ai-and-ml/github-copilot/a-cheat-sheet-to-slash-commands-in-github-copilot-cli/

    Reply
  30. Tomi Engdahl says:

    Claude Is Taking the AI World by Storm, and Even Non-Nerds Are Blown Away
    Developers and hobbyists are comparing the viral moment for Anthropic’s Claude Code to the launch of generative AI
    https://www.wsj.com/tech/ai/anthropic-claude-code-ai-7a46460e

    Reply
  31. Tomi Engdahl says:

    Mentiinkö nyt liian pitkälle tekoälyn kanssa? ”Ihan suoraa huijaamista”
    MSI:n pelinäytön mainostetut tekoälyominaisuudet puhuttavat.
    https://www.is.fi/digitoday/esports/art-2000011753066.html

    Taiwanilainen teknologiavalmistaja MSI esitteli CES-teknologiamessuilla uuden pelinäyttönsä, Meg X:n, jonka tekoälyominaisuuksia on puitu ahkerasti sosiaalisessa mediassa.

    Reply
  32. Tomi Engdahl says:

    AI models tested on Dungeons & Dragons to assess long-term decision-making
    https://techxplore.com/news/2026-01-ai-dungeons-dragons-term-decision.html

    Reply
  33. Tomi Engdahl says:

    Microsoft rolls out “Real Talk” for Copilot worldwide, and tests “Create a video” feature, as it hopes to compete with Gemini and ChatGPT
    https://www.windowslatest.com/2026/01/19/microsoft-rolls-out-real-talk-for-copilot-worldwide-and-tests-create-a-video-feature-as-it-hopes-to-compete-with-gemini-and-chatgpt/

    Reply
  34. Tomi Engdahl says:

    MIT’s new ‘recursive’ framework lets LLMs process 10 million tokens without context rot
    https://venturebeat.com/orchestration/mits-new-recursive-framework-lets-llms-process-10-million-tokens-without

    Reply
  35. Tomi Engdahl says:

    The company claims it has “excess” space in the client market, which it is now looking to allocate to data center customers, indicating that PC will take a backseat here.

    Read more here: https://wccftech.com/intel-blames-pivot-toward-consumer-opportunities-as-the-main-reason-for-missing-ai/

    Reply
  36. Tomi Engdahl says:

    More than 700 artists, writers, creators, and actors have joined a new anti-AI campaign accusing tech companies of using copyrighted work without permission.

    The campaign calls on companies to sign licensing deals or form partnerships for content use.

    As lawmakers on both sides of the Atlantic weigh new rules for AI training data, the campaign says: “Stealing our work isn’t innovation or progress – it’s theft, plain and simple.”

    Source: The Independent
    https://www.facebook.com/share/p/1ASN7dGpmv/

    Reply
  37. Tomi Engdahl says:

    If you think it works, it works for you – old audiophool wishdom

    Reply
  38. Tomi Engdahl says:

    “It is hitting the labor market like a tsunami.” https://trib.al/3NpH5eO

    Business Leaders Suddenly Fearful as Anger Surges Over AI Replacing Human Jobs
    “It is hitting the labor market like a tsunami.
    https://futurism.com/future-society/business-anxiety-ai-labor?utm_sf_cserv_ref=352364611609411&utm_sf_post_ref=658162220&fbclid=IwdGRjcAPgxItjbGNrA-DEPWV4dG4DYWVtAjExAHNydGMGYXBwX2lkDDM1MDY4NTUzMTcyOAABHq_V9ycz6QN0xZ8S1zYr8052iN0RneA9ldSPP5qs4PZBIDRWpiaNYVEGU54N_aem_v43mQ8i01xMg7CGR_GgLGw

    It’s an agonizing time for the labor market in the US, where unemployment is on the rise and wages are stagnant. Though there’s raging debate over what degree of blame AI holds for the sorry state of the job market, one thing’s for sure:workers are growing increasingly furious with the tech, which they perceive as undercutting what little job security they had.

    Business leaders, as a result, are becoming anxious about the blowback — even as they rhapsodize about the coming AI revolution.

    At the World Monetary Fund summit at Davos, for instance, International Monetary Fund managing director Kristalina Georgieva launched into a talk on AI by calling it a “major factor for economic growth.”

    “We see potential to up of 0.8 percent boost to growth over the next years, but it is hitting the labor market like a tsunami, and most countries and most businesses are not prepared for it,” she fretted.

    Reply
  39. Tomi Engdahl says:

    Building AI to empower humans, of course. https://trib.al/vDjOWUv

    Grinning Wolf Tells Little Red Riding Hood That Her Safety Is His Top Priority
    Building AI to empower humans, of course.
    https://futurism.com/artificial-intelligence/ai-startup-red-riding-hood?utm_sf_post_ref=657694342&utm_sf_cserv_ref=352364611609411&fbclid=IwdGRjcAPgyCdjbGNrA-DICWV4dG4DYWVtAjExAHNydGMGYXBwX2lkDDM1MDY4NTUzMTcyOAABHnMiydeEypbD71Ceh4FjPmjA4vAEmg6MhX5vERebhN-GIAY7AVvX8MfcTdBB_aem_L7JWdcywRmt0e-pBhNELKg

    A new AI startup formed from the cast-offs of some of the industry’s biggest, most ethically dubious players says it’s definitely pursuing building the tech with humanity’s best interests in mind.

    Called Humans& — that’s its actual name, not a typo — the outfit’s founders say their vision is to build AI that empowers people instead of trying to replace their jobs, the New York Times reports, such as by building collaboration software that works like an “AI version of an instant messaging app.”

    “Anthropic is training its model to work autonomously. It loved to highlight how its models churned for eight hours, 24 hours, 50 hours by itself to complete a task,” Peng told the NYT. “That was never my motivation. I think of machines and humans as complementary.”

    Two others founders, Eric Zelikman and Yuchen He, are from Elon Musk’s xAI, where they helped build Grok, née “MechaHitler,” a chatbot which so regularly thrusts itself into controversy that it somehow barely registered as newsworthy earlier this month when it generated thousands of nonconsensual — and likely illegal — AI nudes of women and children. Now manumitted from the shackles of Musk leadership, Zelikman is imagining an AI beyond such chatbots as Grok.

    “AI has enormous potential to allow people to do more together,” Zelikman told the NYT. “The current paradigm — questioning and answering — is not going to get us there.”

    Generally, tech companies don’t say they’re building AI to disenfranchise the working human, dressing up what possibly lies ahead with euphemisms like “boosting productivity.” Still, they do acknowledge the tech’s disruptive effects, if only as a qualifier for how awesome AI will be in the long run. Along with Anthropic’s Amodei, OpenAI Sam Altman predicts that AI will wipe out entire categories of labor. Microsoft chief Satya Nadella expresses his anxiety that AI could make his entire company obsolete at the same time he brags about 30 percent of the company’s code being written with AI. Meanwhile, these companies’ customers openly brag about replacing employees with their AI models.

    Reply

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