few understand the gravity of the powerpoint benchmark for agi progress
RESEARCH
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Excitement for upcoming AI models: GPT 5.6, Opus 4.8, Kimi, GLM
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Don’t know if I’m more excited for gpt 5.6, opus 4.8 a new Kimi or GLM model. What a freaking amazing time to be alive
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Excitement for GPT-5.5 and next model hype
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GPT-5.5 is the goat right now. Freaking excited for the next model. And Sama is great hyping it up 😉
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Gary Marcus on AI progress by 2027
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Ten of ten on this (and similar tasks) should be a lower bound: https://
garymarcus.substack.com/p/where-will-a
i-be-at-the-end-of-2027
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AI outperforms ER doctors; not consulting it unethical
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It is unethical for a doctor not to consult an AI! A new study published in Science shows OpenAI's o1 model (not 5.5, but the over 1 year old o1!) outperformed ER physicians at diagnosing patients, identifying the correct or near-correct diagnosis 67% of the time versus 50–55%
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Agent-World: A New Self-Evolving Training Arena for AI Agents
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What if your AI agent could train itself by exploring thousands of real-world services and automatically finding its own weaknesses? Renmin University of China and ByteDance Seed introduce Agent-World, a self-evolving training arena. It works by having the agent discover new
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AI Approach Used to Discover Dozens of Hidden Planets
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Via University of Warwick: https://
warwick.ac.uk/news/pressrele
ases/ai-approach-uncovers-dozens-of-hidden-planets/
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AI’s reach extends far beyond San Francisco across industries
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I think we are past the point where “only people in San Francisco get AI” is true. AI users are in every industry & they have access to the same models. SF is far from the epicenter of many of the craziest use cases I have seen in science, law, finance, marketing, education…
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No change expected in graph after xAI gives Colossus 1 to Anthropic
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i dont expect this graph to change in the next month(s) now that xai gave their collossus 1 to anthropic
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AI identifies 118 new exoplanets from NASA satellite data
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An AI just scanned 2.2M stars and confirmed 118 new planets. The University of Warwick's RAVEN was trained on hundreds of thousands of simulated planets, then pointed at four years of NASA satellite data. The tool confirmed 118 new exoplanets, and identified 2,000+ additional