@aidailypost.comSakana AI’s new language model uses Multi‑Agent Self‑Supervision to boost problem‑solving, but still leaves blind spots. UC Berkeley’s latest study shows the trade‑offs of external supervision vs self‑improvement. Curious? Dive in. #SakanaAI #MASS #BlindSpots
@puretech.newsSakana AI’s LLM Peer Review System Catches 73% of Core-Claim Errors #Technology #AI #AIResearch #sakanaai #llmreview #peerreview #tmlr #errorcorrection
@aidailypost.comBig news: Sakana AI just hired deep‑learning legend Jürgen Schmidhuber. Expect breakthroughs in world models, meta‑learning and autonomous AI. Curious how this will reshape recursive self‑improvement? Read on! #SakanaAI #JürgenSchmidhuber #WorldModels
@kiblogger.bsky.social>- ["#KI", "#AI", "#SakanaAI", "#FuguUltra", "#OpenRouter", "#KIHalbSoWild"]
@aidailypost.com🚀 Sakana AI just cracked 1000‑layer deep nets without backprop! Their PC‑ALM approach uses predictive‑coding tricks to train residual MLPs via constrained optimization. Curious how? Dive in for the details. #SakanaAI #PCALM #PredictiveCoding
@rtfclmgzn.bsky.socialSakana AI's new Fugu Ultra v2 beats Claude Opus 5 and Fable 5 on its own benchmarks -- but it can't actually call on either model. They're excluded from its pool to avoid vendor lock-in.
https://rtfclmgzn.com/?utm_source=bluesky&utm_medium=social&utm_campaign=autopost#
#SakanaAI #Fugu #AI
@calmnewzvibez.bsky.socialBeyond the Monolith: Analyzing Sakana AI's Fugu Ultra v2.0 Orchestration Engine
An expert analysis of Sakana AI's Fugu Ultra v2.0, exploring its multi-agent orchestration architecture, performance benchmarks, and strategic shift away from s
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