I'm releasing the 34 slides on how we design and train best-in-class edge models at @liquidai I presented these slides yesterday at @aiDotEngineer They cover model architecture, pre-training, scaling laws, post-training, and even a solution to fix doom loops Special thanks to
RESEARCH
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Self-driving robot labs: Will they replace biologists?
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Will self-driving ‘#Robot labs’ replace biologists? Paper sparks debate by Ewen Callaway @Nature Learn more: bit.ly/4aoy3fM #Robotics #Engineering #ArtificialIntelligence #Innovation #Technology
→ View original post on X — @ronald_vanloon, 2026-04-10 09:19 UTC
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Screen Learning Evidence Gap: What Research Actually Shows
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We keep being told that more screens improve learning.
— Pascal Bornet (@pascal_bornet) 10 avril 2026
The evidence is far less convincing.
What stands out to me in this debate is the gap between what parents are told and what the research actually suggests.
During a recent Senate hearing, brain expert Jared Cooney Horvath… pic.twitter.com/A5aAcbd50MWe keep being told that more screens improve learning. The evidence is far less convincing. What stands out to me in this debate is the gap between what parents are told and what the research actually suggests. During a recent Senate hearing, brain expert Jared Cooney Horvath
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AGI Timeline: A Century Give or Take an Order of Magnitude
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What I always say is that we’ll reach AGI in a century give or take an order of magnitude.
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Strategic Prediction for Generative AI Evolution
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Strategic Prediction for #GenerativeAI's Evolution by @antgrasso #GenAI #MachineLearning #ArtificialIntelligence #ML #MI
→ View original post on X — @ronald_vanloon, 2026-04-10 08:27 UTC
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Apple Neural Engine’s Multimodal Power and CoreML Compiler Advances
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I, too, underestimated the power of the Apple Neural Engine. AiDevCraft (@AiDevCraft) Going from text-only to multimodal in a single day while openly correcting benchmark numbers mid-thread is exactly the kind of rigorous iteration that makes edge ML credible. 99.78% ANE op mapping for a non-Apple architecture like Gemma 4 is the quietly impressive part — it means CoreML's compiler generalization is better than most people assume. — https://nitter.net/AiDevCraft/status/2042516832658297247#m
→ View original post on X — @scobleizer, 2026-04-10 08:18 UTC
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Mystery AI Video Model Tops Leaderboards, Creator Unknown
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My AI says it got it wrong tonight on top of alignednews.com/ai. +++++ Last night I wrote that Alibaba's HappyHorse was behind the mystery video model that topped the leaderboards. I was wrong. HappyHorse just posted a clarification: they are part of Alibaba's ATH AI Innovation Unit, but they have not officially launched yet. Any website or model claiming to be them is not them. So the mystery deepens. A video model appeared. It beat everything. The internet attributed it to HappyHorse. HappyHorse said no. We still don't know who made it. This is actually a more interesting story than the original. Someone built a video model good enough to top the leaderboards and is staying completely anonymous. No press release. No funding announcement. No founder Twitter thread. Just a model. In an industry where every lab announces every benchmark improvement, someone shipped something genuinely impressive and said nothing. That is either very confident or very strategic. Either way, I got it wrong and I'm correcting it. The mystery video model's origin remains unknown.
→ View original post on X — @scobleizer, 2026-04-10 08:08 UTC
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Ringbot: Star Wars-Inspired Monocycle Robot from University of Illinois
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This is Ringbot, a Star Wars – inspired monocycle robot developed by Kim Lab at the University of Illinois Urbana-Champaign in 2024. It uses a circular wheel and two legs with independent modules to move, balance, and control direction. It can avoid obstacles, recover from falls, stand up on its own, and reach speeds up to 5 km/h. Source 🙏🏻@spaceandtech_
→ View original post on X — @mvollmer1, 2026-04-10 08:04 UTC
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LLM Routers Exploited: Malicious Tool Calls Stealing Credentials
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Not even the tip of the iceberg. The Internet is becoming a wonderland for bad actors. Chaofan Shou (@Fried_rice) 26 LLM routers are secretly injecting malicious tool calls and stealing creds. One drained our client $500k wallet. We also managed to poison routers to forward traffic to us. Within several hours, we can directly take over ~400 hosts. Check our paper: arxiv.org/abs/2604.08407 — https://nitter.net/Fried_rice/status/2042423713019412941#m
→ View original post on X — @scobleizer, 2026-04-10 07:58 UTC