Do you think it’s important that LLMs be able to play chess well independent of their ability to code chess-playing bots? I always assumed chess is something neglected in post-training because it isn’t useful, and if any lab actually tried LLMs would be great at it.
RESEARCH
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Neural Network Cells Compete in Digital Petri Dish Browser
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Make neural network cells inside a “Digital Petri Dish” fight for control and dominance in a web browser tab.https://t.co/t8N6CIhvze https://t.co/nPdtvRL473 pic.twitter.com/A5SSTvPJBu
— hardmaru (@hardmaru) 19 avril 2026Make neural network cells inside a “Digital Petri Dish” fight for control and dominance in a web browser tab. https://
pub.sakana.ai/digital-ecosys
tem/
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Digital Ecosystems: Interactive Multi-Agent Neural Cellular Automata
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Digital Ecosystems: Interactive Multi-Agent Neural Cellular Automatahttps://t.co/JgvytIgHH1 pic.twitter.com/HfqskCwcjF
— Sakana AI (@SakanaAILabs) 19 avril 2026Digital Ecosystems: Interactive Multi-Agent Neural Cellular Automata https://
pub.sakana.ai/digital-ecosys
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Mythos Open Source Release Major Development
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That’s true but having Mythos Open source is a BIGG deal
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AI’s Impact on Legal Tech: 2026 Trends Analysis
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Legal #Tech In 2026: #AI's Impact And Other Trends To Look Out For
by Dan Hauck @Forbes Learn more: https://
bit.ly/47XaSYl #ArtificialIntelligence #MachineLearning #ML -
AI Tool Maps Tech Industry Leaders and Trends
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I mapped out the entire tech industry here: https://
x.com/scobleizer/lis
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… 50,000 in AI. Then I built an AI to read all that and find the best: https://
alignednews.com/ai You are so right -
Meta AI Introduces Generative Reasoning Re-ranker Framework
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Meta AI introduces Generative Reasoning Re-ranker: a new LLM framework that finally tackles the critical "re-ranking" phase. It trains models using high-quality reasoning data & a novel RL method to refine final choices. Outperforms top model OneRec-Think by 2.4% in key
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Claude Opus 4.6 vs 4.7 System Prompt Differences Analysis
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Since Anthropic publish their system prompts we can generate a diff between Claude Opus 4.6 and 4.7 – here are my notes on what's changed
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Is 92% Accurate AI Good Enough or Disaster?
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Is a 92% “honest”* AI really good enough? Or a disaster waiting to happen? —-
*”honest” is itself a misleading anthropomorphization of the kind Anthropic loves to promote. “Accurate” would be more accurate. -
Benchmarking quantization levels with TurboQuant for best context fit
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Tried more quants (4-bit, 5-bit) on upstream llama.cpp Next up is benchmarking TurboQuant for the same quants The goal is finding the best quant that fits with the highest context in q8_0/turbo3 asymmetric