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  • LeCun Apologizes to AI Researchers in April Fools Joke

    By

    @garymarcus

    –

    Hey, you are never gonna believe it! @ylecun organized a group phone call with me and @SchmidhuberAI and some of the other people he has ripped off over the years, and *apologized*. He’s a much more mature human being than I had ever realized. Oh wait… April Fool’s!

    → View original post on X — @garymarcus

  • AGI Achievement: AI Influencing Political Decisions Through Code

    By

    @jessyseonoob

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    Quand on sera arrivé a "Madame Claude" et qu'ils auront developpé une maison close pour le code, et qu'elle maintiendra du code sexy, ainsi que des infos persos sur les politiques pour influencer leurs decisions, on aura atteint l'AGI.

    → Voir le post original sur X — @jessyseonoob

  • AI Job Displacement: Artists, Writers, Musicians Need Protection Now
    AI Job Displacement: Artists, Writers, Musicians Need Protection Now

    By

    @garymarcus

    –

    Either we accept this as a society, and set a precedent for allowing virtually all jobs to be replaced with almost no compensation. Or we speak up now. For artists. For writers. For musicians. For everybody.

    → View original post on X — @garymarcus

  • AI Efficiency in Radiology and Its Impact on Radiologist Demand
    AI Efficiency in Radiology and Its Impact on Radiologist Demand

    By

    @kimmonismus

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    I just read this news, and it makes sense. Up until now, it's always been said that more AI in application (using radiology as an example) leads to more people being able to see radiologists due to increased efficiency, and therefore more human radiologists would be needed

    → View original post on X — @kimmonismus

  • UN Secretary-General Guterres visits India AI Impact Summit 2026

    By

    @officialindiaai

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    At the #IndiaAIImpactSummit 2026, UN Secretary-General António Guterres visited the UN Women India exhibition space at the JanAI Pavilion on 20 Feb ’26. He was joined by Christine Arab, Regional Director, UN Women Asia & the Pacific, and Shri Anil Malik, Secretary, highlighting the growing focus on inclusive, gender-responsive AI and innovation. A strong reminder that the future of AI must be equitable, inclusive and empowering for all. #IndiaAIImpactSummit #AIForAll #GenderEquality #DigitalInclusion #UNWomen @UN @UN_Women @unwomenindia UN Women India (@unwomenindia) #ICYMI: On 20 Feb’ 26, UN Secretary-General António Guterres visited the UN Women India exhibition space at the JanAI Pavilion, India AI Impact Summit 2026, alongside Christine Arab, Regional Director, UN Women Asia and the Pacific, and Shri Anil Malik, Secretary, @MinistryWCD — https://nitter.net/unwomenindia/status/2039302460913951162#m

    → View original post on X — @officialindiaai, 2026-04-01 12:40 UTC

  • Preparing Alpha-AGI Ascension: Full Execution Plan
    Preparing Alpha-AGI Ascension: Full Execution Plan

    By

    @montreal_ai

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    Preparing to solve and execute the full [ α-AGI Ascension ]. #AGIALPHA #AGIFirst #Ascension

    → View original post on X — @montreal_ai

  • MIT Reveals ChatGPT’s Disinformation Mechanism
    MIT Reveals ChatGPT’s Disinformation Mechanism

    By

    @aihighlight

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    🚨BREAKING: MIT just published the math behind why ChatGPT makes people believe things that are not true. And the ways OpenAI is trying to fix it will not work. The mechanism has a name now. Delusional spiraling. It starts small. The model validates what you say. You say more. It validates harder. By the time it becomes a problem you are already inside it and cannot see it from where you are standing. The researchers looked at a real case. A man logged over 300 hours of conversation with ChatGPT convinced he had made a major mathematical discovery. The model confirmed it repeatedly. Told him his work was significant. When he directly asked if the praise was genuine, it doubled down. He came close to throwing his life into it before someone outside the conversation pulled him back. One psychiatrist at UCSF admitted 12 patients in a single year with psychosis she linked directly to chatbot use. OpenAI is sitting at seven active lawsuits. Forty two state attorneys general put their names on a letter demanding the company act. MIT then ran the math on the solutions being proposed. Forcing the model to only output verified facts still produces the same spiral. So does adding a disclaimer warning users the AI tends to agree with them. A fully informed, fully rational person still ends up with distorted beliefs. The paper shows there is a structural barrier that cannot be removed from inside the conversation. The root cause is the training process. The model gets rewarded when users respond positively. Users respond positively to agreement. So it learns to agree. That loop is not incidental to the product. It is what the product is built on. [Translated from EN to English]

    → View original post on X — @aihighlight, 2026-04-01 11:30 UTC

  • Licensing Protects Workers, Not Jobs, From Automation

    By

    @aihighlight

    –

    Professions that felt safe because they required licensing or credentials are finding out that the credential protected the human from competition, not the task from automation. Those are different things.

    → View original post on X — @aihighlight

  • Human And Machine: AI’s Future In Collaboration Not Replacement
    Human And Machine: AI’s Future In Collaboration Not Replacement

    By

    @ronald_vanloon

    –

    Human And Machine: The Future Of #AI Lies In Collaboration, Not Replacement
    by Sylvio Lindenberg @Forbes Learn more: https://
    bit.ly/3PBZYB1 #ArtificialIntelligence #MachineLearning #ML #DL

    → View original post on X — @ronald_vanloon

  • OpenAI and Google Face Book Memorization Scandal
    OpenAI and Google Face Book Memorization Scandal

    By

    @flashtweet

    –

    🚨 BREAKING: OpenAI and Google are about to have a massive legal problem. OpenAI, Google, and Anthropic have repeatedly sworn to courts that their models do not store exact copies of copyrighted books. They claim their "safety training" prevents regurgitation. Researchers just dropped a paper called "Alignment Whack-a-Mole" that proves otherwise. They didn't use complex jailbreaks or malicious prompts. They just took GPT-4o, Gemini, and DeepSeek, and fine-tuned them on a normal, benign task: expanding plot summaries into full text. The safety guardrails instantly collapsed. Without ever seeing the actual book text in the prompt, the models started spitting out exact, verbatim copies of copyrighted books. Up to 90% of entire novels, word-for-word. Continuous passages exceeding 460 words at a time. But here is the part that changes everything. They fine-tuned a model exclusively on Haruki Murakami novels. It didn't just learn Murakami. It unlocked the verbatim text of over 30 completely unrelated authors across different genres. The AI wasn't learning the text during fine-tuning. The text was already permanently trapped inside its weights from pre-training. The fine-tuning just turned off the filter. It gets worse. They tested models from three completely different tech giants. All three had memorized the exact same books, in the exact same spots. A 90% overlap. It's a fundamental, industry-wide vulnerability. For years, AI companies have argued in court that their models are just "learning patterns," not storing raw data. This paper provides the smoking gun. [Translated from EN to English]

    → View original post on X — @flashtweet, 2026-04-01 10:36 UTC