Claire Vo's first day with @OpenClaw it deleted her family calendar. Now she runs 9 agents across 3 Mac Minis, and said "I haven't felt like this since I was a teenager learning to code." Her sales agent Sam does a daily CRM sweep, identifies decision-makers from new signups,
INNOVATION
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Code Quality Concerns: Is It Real Implementation or Just Links?
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Have a look at the code, my bet that is has no real code and just a link to Wikipedia or something
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Automation Impact: Historical Lessons from Horses to Technology
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Famously, the only measurable impact of automating horses with cars was saving on hay and vet bills
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Jetson Thor Humanoid Robot Achieves Complete Autonomous Mobility
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Jetson Thor–Powered Humanoid #Robot Achieves Fully #Autonomous Wheeled Mobility
— Ronald van Loon (@Ronald_vanLoon) 29 mars 2026
via @ZappyZappy7#Robotics #ArtificialIntelligence #MI #ML #Tech #Innovation pic.twitter.com/DQDf7xWForJetson Thor-Powered Humanoid Robot Achieves Fully Autonomous Wheeled Mobility via @ZappyZappy7 #Robotics #ArtificialIntelligence #MI #ML #Tech #Innovation
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SWE-Vision: Teaching AI to Code Visual Intelligence
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Can we unlock unprecedented visual intelligence in AI by teaching it to code what it sees? Researchers from UniPat AI and Michigan State University introduce SWE-Vision. This innovative agent allows vision-language models to write and execute Python code, using libraries like
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Artificial Biological Intelligence: Genome Writing and Species Future
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Artificial Biological Intelligence (ABI) In a post-Darwinian era of being able to write genomes, the implications—both for good and harm—are profound. In conversation with @AdrianWoolfson on his new book On the Future of Species https://
erictopol.substack.com/p/on-the-futur
e-of-species
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Drone Swarms: Genius Innovation in Autonomous Systems
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Lmao this is kinda genius. Add drone swarms pls!
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Phone scanning enables static data memory capture storage
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Agree – closest thing to memory capture we got. People should scan static stuff with their phones to start and save all that data
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Expensive Camera Rigs Barrier to Content Creation
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I really wish capturing this stuff was cheaper – you need some big ass expensive ass camera rigs
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ARC-AGI-3: New Benchmark Resets AI Scoreboard to Near Zero
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Humans: 100% Gemini 3.1 Pro: 0.37% GPT 5.4: 0.26% Opus 4.6: 0.25% Grok-4.20: 0.00% François Chollet just released ARC-AGI-3 — the hardest AI test ever created. 135 novel game environments. No instructions. No rules. No goals given. Figure it out or fail. Untrained humans solved every single one. Every frontier AI model scored below 1%. Each environment was handcrafted by game designers. The AI gets dropped in and has to explore, discover what winning looks like, and adapt in real time. The scoring punishes brute force. If a human needs 10 actions and the AI needs 100, the AI doesn't get 10%. It gets 1%. You can't throw more compute at this. For context: ARC-AGI-1 is basically solved. Gemini scores 98% on it. ARC-AGI-2 went from 3% to 77% in under a year. Labs spent millions training on earlier versions. ARC-AGI-3 resets the entire scoreboard to near zero. The benchmark launched live at Y Combinator with a fireside between Chollet and Sam Altman. $2M in prizes on Kaggle. All winning solutions must be open-sourced. Scaling alone will not close this gap. We are nowhere near AGI. (Link in the comments)
→ View original post on X — @ken_goldberg, 2026-03-29 14:46 UTC