Incredible. Gary Marcus (@GaryMarcus) In AI, a lot can change in seven years. — https://nitter.net/GaryMarcus/status/2041953155651661977#m
RESEARCH
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Weak Arguments About AI: Intellectual Exercise and Critique
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Dudes who won’t tag me because they know their arguments are weak sauce.*
— Gary Marcus (@GaryMarcus) 8 avril 2026
*for intellectual exercise you can list the flaws and misrepresentations in his argument below pic.twitter.com/gYqiFeUBMDDudes who won’t tag me because they know their arguments are weak sauce.* *for intellectual exercise you can list the flaws and misrepresentations in his argument below
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Small Open Models Detect Major Cybersecurity Vulnerabilities Effectively
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"But here is what we found when we tested: We took the specific vulnerabilities Anthropic showcases in their announcement, isolated the relevant code, and ran them through small, cheap, open-weights models. Those models recovered much of the same analysis. Eight out of eight models detected Mythos's flagship FreeBSD exploit, including one with only 3.6 billion active parameters costing $0.11 per million tokens. A 5.1B-active open model recovered the core chain of the 27-year-old OpenBSD bug." aisle.com/blog/ai-cybersecur…
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OpenAI Withholds Full Algorithm for New Text Generation Model
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"Last week, the nonprofit research group OpenAI revealed that it had developed a new text-generation model that can write coherent, versatile prose given a certain subject matter prompt. However, the organization said, it would not be releasing the full algorithm due to “safety
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AGI prediction: not this decade, maybe next
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i have said not this decade, maybe next decade, and i will stick with that.
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GPT-2 Safety Debate: 2019 Warnings Revisited Today
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There's a few people out there who have seen the current day narrative repeated over and over again… I present to you an article from 2019 that describes why GPT-2 is too dangerous to release to the public.
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NVIDIA Advances AI Robotics for Agriculture and Solar Energy
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NVIDIA spotlights major advances pushing AI into real-world robotics, from simulation-first training to scalable deployment in agriculture, energy, and households.
— Chubby♨️ (@kimmonismus) 8 avril 2026
Breakthroughs like foundation models, synthetic environments, and edge AI (e.g., Jetson and Isaac platforms) are… pic.twitter.com/6F7SJaV6HKNVIDIA spotlights major advances pushing AI into real-world robotics, from simulation-first training to scalable deployment in agriculture, energy, and households. Breakthroughs like foundation models, synthetic environments, and edge AI (e.g., Jetson and Isaac platforms) are helping robots learn faster, adapt better, and perform complex tasks autonomously. I love those two examples 🙂 Building solar autonomously and increasing producoty in agriculture are so much beneficial for society.
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Meta’s AI Benchmarks Show Promise with Distribution Advantage
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Again: Metas biggest moat is distribution. They don’t need to have the very best. It just needs to be good enough for tough questions for 1b people worldwide. And the evals look very promising. This could be a big win for meta. https://t.co/FvSkQ4KEli
— Chubby♨️ (@kimmonismus) 8 avril 2026Again: Metas biggest moat is distribution. They don’t need to have the very best. It just needs to be good enough for tough questions for 1b people worldwide. And the evals look very promising. This could be a big win for meta. Chubby♨️ (@kimmonismus) Lol what?! Meta has been cooking! These benchmarks are really freaking good holy!! — https://nitter.net/kimmonismus/status/2041918006779957407#m
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23andMe Research Advances in Genetic AI Explainer
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Good explainer @Nature by @marilenharo https://
nature.com/articles/d4158
6-026-01107-5
… @23andMeResearch
