Challenges and Benefits of Neuromorphic Computing by @antgrasso #EmergingTech #Technology #Innovation
→ View original post on X — @ronald_vanloon, 2026-04-10 10:18 UTC
RESEARCH
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AI Engineering Summit Segment with swyx and OpenClaw Founder
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This whole segment of the AI Engineering summit that @swyx ran with the founder of @OpenClaw @steipete and others is quite excellent. This link should take you to the right beginning over on YouTube: piped.video/live/O_IMsEg91g8…
→ View original post on X — @scobleizer, 2026-04-10 09:45 UTC
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AGI Pills launched to combat scaling skepticism and inductive bias
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Just launched at @aiDotEngineer :
— swyx 🐣 (@swyx) 10 avril 2026
our official AGI Pills!
prescribe one (1) if your colleague is saying we are hitting a wall and/or trying to add inductive bias instead of Trusting The Model https://t.co/fNeUQ8DC9H pic.twitter.com/MJUEOoMkgZJust launched at @aiDotEngineer : our official AGI Pills! prescribe one (1) if your colleague is saying we are hitting a wall and/or trying to add inductive bias instead of Trusting The Model
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Students Create AI-Powered Robot for Dynamic Ball Picking and Shooting
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Students Design #AI-Powered #Robot That Picks and Shoots Balls in Motion
— Ronald van Loon (@Ronald_vanLoon) 10 avril 2026
by @lukas_m_ziegler#Robotics #EmergingTech #TechForGood #Innovation #Technology pic.twitter.com/NVNAG7ZvIAStudents Design #AI-Powered #Robot That Picks and Shoots Balls in Motion by @lukas_m_ziegler #Robotics #EmergingTech #TechForGood #Innovation #Technology
→ View original post on X — @ronald_vanloon, 2026-04-10 09:43 UTC
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DMax: Aggressive Parallel Decoding for Distributed Language Models
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DMax: Aggressive Parallel Decoding for dLLMs Paper: https://
huggingface.co/papers/2604.08
302
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Code: https://
github.com/czg1225/DMax
Models: https://
huggingface.co/collections/Zi
geng/dmax-models
…
Datasets: https://
huggingface.co/collections/Zi
geng/dmax-training-data
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DMax: Aggressive Parallel Decoding for Diffusion Language Models
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Wow, really fast!
— 机器之心 JIQIZHIXIN (@jiqizhixin) 10 avril 2026
Researchers at the National University of Singapore present DMax!
This new paradigm for diffusion language models (dLLMs) enables aggressive parallel decoding.
It cleverly mitigates error accumulation by reforming decoding as a progressive self-refinement… pic.twitter.com/T7ZS5jO4srWow, really fast! Researchers at the National University of Singapore present DMax! This new paradigm for diffusion language models (dLLMs) enables aggressive parallel decoding. It cleverly mitigates error accumulation by reforming decoding as a progressive self-refinement
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Liquid AI Releases 34 Slides on Edge Model Design Training
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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
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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.