It’s scientists’ job to be skeptical, by which standard many AI researchers are anti-scientists.
AI
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Can’t Stop Thinking About Claude Mythos
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— Dan Shipper 📧 (@danshipper) 9 avril 2026
I CANT STOP THINKING ABOUT CLAUDE MYTHOS
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How China Acquired Germany’s Robotics Crown Jewel
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How China Acquired Germany’s #Robotics Crown Jewel
— Ronald van Loon (@Ronald_vanLoon) 9 avril 2026
by @JacklouisP#AI #MachineLearning #ArtificialIntelligence #ML #Innovation pic.twitter.com/DuFtEGfyDbHow China Acquired Germany’s #Robotics Crown Jewel by @JacklouisP #AI #MachineLearning #ArtificialIntelligence #ML #Innovation
→ View original post on X — @ronald_vanloon, 2026-04-09 18:19 UTC
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Anthropic Head of Growth Shares Traumatic Brain Injury Recovery Story
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Crazy fact: Anthropic's Head of Growth @TheAmolAvasare suffered a traumatic brain injury (from a kick to the head during a Muay Thai sparring session) a few years ago. He shared his story of recovery in my newsletter in 2023: https://
lennysnewsletter.com/p/how-a-trauma
tic-brain-injury-made
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Hermes Agent Recommended for Beginners Over Openclaw
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Honestly, I'm using both, but if you're just getting started and haven't used Openclaw before, Hermes agent is a great place to start
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Professional investors scrutiny concerns in AI investment landscape
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Perhaps because professional investors would look more carefully at the numbers? Wouldn’t want that!
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OpenAI Launches $100/mo ChatGPT Tier with Enhanced Codex Usage
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OpenAI just launched a new $100/mo ChatGPT tier "This new tier offers 5x more Codex usage than Plus and is best for longer, high-effort Codex sessions." The timing is likely not a coincidence with Anthropic's recent rate limits getting a lot of attention
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Indian Policymakers Prioritize Domestic Growth Over Foreign Investment
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Indian policy makers are NOT investors. They don't care if foreign investors stay or leave. Very similar to: they don't care if Foreign Tourists visit India. All they care about are headline numbers: as long as there are – – enough domestic tourists going around; – enough
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OpenAI Chief Scientist discusses continual learning and AI research roadmap
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OpenAI's Chief Scientist, @merettm, on the continual learning wave: frontier labs are already building this into the core of the technology.
— Jacob Effron (@jacobeffron) 9 avril 2026
The entire premise of scaling was to create systems that learn in context. Jakub says continual learning is not some separate missing… https://t.co/jsmSU6cSNH pic.twitter.com/55ovuIy4rLOpenAI's Chief Scientist, @merettm, on the continual learning wave: frontier labs are already building this into the core of the technology. The entire premise of scaling was to create systems that learn in context. Jakub says continual learning is not some separate missing piece, but “exactly what we’re working toward.” Jacob Effron (@jacobeffron) At @OpenAI, Chief Scientist @merettm helps lead the research roadmap to AGI including a research intern-level AI system by September 2026 and a fully automated AI researcher by March 2028. I sat down with Jakub to check on those timelines and ask him all of my top-of-mind AI questions including: ▪️ How OpenAI thinks about extending RL beyond code and math ▪️ The current state of alignment research as more powerful models loom ▪️ The future of continual learning ▪️ How startups should think about building their own models/harnesses And he also shared some great stories around OpenAI’s pioneering work on math. YouTube: piped.video/vK1qEF3a3WM Spotify: bit.ly/4sjUyrN Apple: bit.ly/41jAdrN 0:00 Intro 1:53 Research Intern Capability Timelines 4:59 Math Breakthroughs 7:59 RL Beyond Verifiable Tasks 12:32 RL vs In-Context 19:01 Allocating Compute Internally 28:18 AI for Science 31:40 Pattern Matching 33:23 Solving the Hardest Math Problems 37:40 Chain of Thought Monitoring 44:33 Generalization and Value Alignment in Models 47:57 Inside OpenAI 51:55 Quickfire — https://nitter.net/jacobeffron/status/2042234897134162077#m
→ View original post on X — @ceobillionaire, 2026-04-09 18:05 UTC