new paper from Kimi! "Prefill-as-a-Service makes long-context LLM serving cross-datacenter" Main idea: smaller KV Cache turns prefill into a scalable remote service. Prefill is compute-bound, decode is memory-bandwidth-bound, but KV cache transfer keeps them trapped in the
RESEARCH
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Dario and Sam: contrasting visions in artificial intelligence
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In AI, Dario is the Baptist and Sam the bootlegger.
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China Will Replicate Mythos Capabilities Within 12 Months
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Dario Amodei: China will have a replicate of Mythos capabilties within 12 months. He also says: “There’s no end to the rainbow. There’s just the rainbow,” he says. “We don’t see anything slowing down." For anyone who doubted that China Mythos is lagging far behind: Dario
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Manufacturing AI Needs Operational Context for Meaningful Results
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Most AI models trained on raw manufacturing data produce useless results because they lack operational context about normal vs abnormal conditions.
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Competing Neural Networks Evolve in Digital Petri Dish Ecosystem
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What happens when you put competing neural networks in a Petri Dish and start changing the rules while they adapt?
— Sakana AI (@SakanaAILabs) 18 avril 2026
Last year we released Petri Dish NCA, where neural nets are the organisms that learn during simulation. Today we're releasing Digital Ecosystems: a browser-based… pic.twitter.com/9UeAQ2mX1dWhat happens when you put competing neural networks in a Petri Dish and start changing the rules while they adapt? Last year we released Petri Dish NCA, where neural nets are the organisms that learn during simulation. Today we're releasing Digital Ecosystems: a browser-based
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PyTorch vs JAX: Key Indicator of Deep Learning Candidate Quality
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When looking at deep learning profiles, one of the most obvious tells between a mediocre and great candidate is whether they list PyTorch or JAX.
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HexRunner Achieves Stable 30 MPH Autonomous Locomotion
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Designing for Speed: How HexRunner Achieved Stable 30 MPH Locomotion
— Ronald van Loon (@Ronald_vanLoon) 18 avril 2026
by @lukas_m_ziegler#EmergingTech #Engineering #ArtificialIntelligence #Innovation #Technology pic.twitter.com/H7rdP5DNTVDesigning for Speed: How HexRunner Achieved Stable 30 MPH Locomotion
by @lukas_m_ziegler #EmergingTech #Engineering #ArtificialIntelligence #Innovation #Technology -
Constraints Drive Innovation Through Problem-Solving
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Constraints are the catalyst of invention. An infinite search space leads to paralysis. The most creative inventions happen when you are forced to solve a problem within appropriately narrow constraints.
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PBS NewsHour segment explores Super Agers aging research
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At @PBS last night, a segment on Super Agers @NewsHour with @WmBrangham
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Nova-Seeds v2.5 Foundational Architecture Release Launched
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[ α-AGI Nova-Seeds ] Nova-Seeds v2.5 — Foundational Architecture Release https://
github.com/MontrealAI/alp
ha-nova-seeds/releases/tag/v2.5
… #AGIALPHA