We’ve been using Sakana Fugu internally for our own research and coding. Instead of relying on a single model, it dynamically orchestrates the best combination of open and closed models for any task. The future of AI is collective intelligence. Excited to open the beta release:
LLMS
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Sakana Launches Fugu: Multi-Agent AI Orchestration System Beta
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We’re launching the beta for our new commercial AI product: Sakana Fugu , a multi-agent orchestration system! Blog: https://
sakana.ai/fugu-beta Fugu hits SOTA on SWE-Pro, GPQA-D, and ALE-Bench, and has been our internal secret weapon. It dynamically coordinates frontier models, -
Compute Infrastructure Costs Vastly Exceed AI Model Training Expenses
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perhaps interesting to think through that compute infra building is probably a 0.5-1T problem, but training, if cursor is all it takes, is just a 0.06B problem
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Google I/O 2026: Major Release Expected with Significant Compute Advantage
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I assume we will see a big release on google i/o on may 18th. again: google doesnt have the compute constraint most frontier labs have. Expect a high jump on evals and usage soon.
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Extracting and Animating Components from ChatGPT Codebase
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haha understandable. just wanted to learn how to do this but with more handholding. nw u already gave broad strokes. i think i just sunnl how exactly to extract and animate individual components, but i think for u the answer is “just open the chatgpt codebase lol”
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OpenAI’s New Intelligence Class: Real Work and Agents
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看完 OpenAI 这条, 版本号从 5 跳到 5.5, 听起来像小更新。
— 艾略特 (@elliotchen100) 24 avril 2026
但推文里这句话值得反复读几遍:
「a new class of intelligence for real work and powering agents」
用了 real work 和 agents, 没用 chat, 没用 assistant。
列了四个能力:
1. understand complex goals, 理解复杂目标
2. use tools,… https://t.co/fwTx6TvtbRAfter reading this OpenAI post, the version number jumping from 5 to 5.5 sounds like a minor update. But this sentence in the tweet is worth reading over and over:
"a new class of intelligence for real work and powering agents" It uses "real work" and "agents," not "chat," not -
Databricks Partners with OpenAI to Launch GPT-5.5 on Unity AI Gateway
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Databricks is excited to partner with @OpenAI on GPT-5.5, their latest frontier model. GPT-5.5 will be available in Unity AI Gateway on launch. You can use it with coding tools such as Codex, or to power your enterprise agents.
— Databricks (@databricks) 24 avril 2026
GPT-5.5 is state-of-the-art on many benchmarks… pic.twitter.com/UMWUFJgwCVDatabricks is excited to partner with @OpenAI on GPT-5.5, their latest frontier model. GPT-5.5 will be available in Unity AI Gateway on launch. You can use it with coding tools such as Codex, or to power your enterprise agents. GPT-5.5 is state-of-the-art on many benchmarks
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Claude’s appeal for 10x coders acknowledged by aging user
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I actually like Claude a lot btw, despite rarely tweeting about it. I use it almost as much as ChatGPT for routine questions on my phone. But it clearly shines brightest for 10x coder types and I’m getting too old for that.
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Three categories of LLM tasks: economic, differentiating, and tweetable
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I have little to say about GPT-5.x for the same reason I’ve long had little to say about Claude 4.x—which is that every txt2txt LLM task is at most two: 1) A task with real economic value
2) A task that differentiates frontier models
3) A task you would gladly read in a tweet -
OpenAI Accelerates Release Cycle with Significant Near-Term Improvements
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Faster releases are coming. So maybe we see monthly releases instead of bi-monthly? OpenAI chief scientist: significant improvements in the short term, extremely significant improvements in the mid term. We barely begun