How #GenerativeAI ‘persuasion bombs’ users — and how to fight back
by Dylan Walsh @MITSloan Learn more: https://
bit.ly/4cDhCNN #ArtificialIntelligence #ML #MachineLearning #Tech
MACHINE LEARNING
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How Generative AI persuasion bombs users and how to fight back
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LeCun: Intelligence equals trained world model plus optimal control
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Essentially. Or rather: Trained world model + optimal control = intelligence
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AI-coded ForgeTrain framework trains MiniCPM-5 1B 10% faster than NVIDIA Megatron
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And here’s the part that feels like foreshadowing: MiniCPM-5 1B was pre-trained with ForgeTrain, an AI-coded training framework claimed to be 10% faster than NVIDIA Megatron. AI isn’t just running apps now. It’s starting to build the factory. Try it. Break it. Contribute:
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Low VRAM AI deployment numbers enable real workflows everywhere
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The deployment numbers are the real flex: FP16: ~2GB VRAM
INT8: ~1GB
INT4/Q4: ~0.5GB That puts real AI workflows on normal machines, edge boxes, tablets, browsers, and local dev stacks. Less “enterprise AI theater.” More shipping. -
Desktop pet demo proves capable on-device AI without cloud API
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The best proof is the desktop pet demo.
— God of Prompt (@godofprompt) 30 mai 2026
Not because it’s adorable.
Because it shows a capable AI app running locally without begging some cloud API every 4 seconds.
This is what on-device AI should look like:
fast, cheap, responsive, and actually usable. pic.twitter.com/xY3pGgWNRJThe best proof is the desktop pet demo. Not because it’s adorable. Because it shows a capable AI app running locally without begging some cloud API every 4 seconds. This is what on-device AI should look like: fast, cheap, responsive, and actually usable.
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MiniCPM-5 1B: Tiny Open-Source Model Runs Locally, No GPU Needed
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The AI crowd keeps worshipping giant models.
— God of Prompt (@godofprompt) 30 mai 2026
Meanwhile, MiniCPM-5 1B is trying to make them look bloated.
A 1B open-source model that runs locally, on CPUs, edge devices, and even browsers.
Tiny model. Real deployment. No GPU cult required. pic.twitter.com/XWH8uso0SEThe AI crowd keeps worshipping giant models. Meanwhile, MiniCPM-5 1B is trying to make them look bloated. A 1B open-source model that runs locally, on CPUs, edge devices, and even browsers. Tiny model. Real deployment. No GPU cult required.
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HiF-VLA: Robots remembering past and anticipating future via motion
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What if your robot could remember the past and anticipate the future to master long tasks? Researchers from Westlake University and Zhejiang University introduce HiF-VLA. It uses motion as a compact representation to give robots hindsight, insight, and foresight—learning from
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Could AgenticAI topple grant-funding systems? Nature article
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Could #AgenticAI topple grant-funding systems?
by Geraint Rees James Wilsdon @Nature Learn more: https://
bit.ly/4eexZBK #AI #GenerativeAI #ArtificialIntelligence #MachineLearning #MI -
AI expands what mathematicians and scientists dare attempt
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AI for accelerating research, by expanding what mathematicians and scientists dare attempt: https://t.co/8XUKsAkUD5
— Greg Brockman (@gdb) 30 mai 2026AI for accelerating research, by expanding what mathematicians and scientists dare attempt:
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Opus 4.8: ‘You’re absolutely right’ in the worst way
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Opus 4.8 is "You’re absolutely right” in the worst possible ways