Actually it was (CC/codex/opencode) agents collaborating to *improve* Gemma 4
SOFTWARE
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AI coding startup Sazabi raises $8M from YC and OpenAI angels
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Act ONE was AI writing the code.
— Charly Wargnier (@DataChaz) 25 juin 2026
Act TWO is AI spotting crashes and pushing its own patches to production.
🚨 Enter @Sazabi.
They just locked in an $8M seed from YC, plus angels out of OpenAI and GitHub.
Their goal is to wipe out the cluttered, chaotic dashboard, and after… https://t.co/3GfVTGBgPrAct ONE was AI writing the code. Act TWO is AI spotting crashes and pushing its own patches to production. Enter @Sazabi
. They just locked in an $8M seed from YC, plus angels out of OpenAI and GitHub. Their goal is to wipe out the cluttered, chaotic dashboard, and after -
GPT-5.6-Preview Detected in ChatGPT Code for Enterprise Partners
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OPENAI : GPT-5.6-Preview has been spotted in the ChatGPT code. It was likely made available to certain partner Enterprises too. This also potentially means that it will remain in a limited preview state for some time. Not soon?
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Why users are switching from OpenClaw to Hyperagent
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why ppl are ditching OpenClaw for Hyperagent: OpenClaw: You're the weekend sysadmin, updates wipe your agent's memory, takes weeks to wire up. Hyperagent: Runs in browser, durable memory, migrates in minutes ↓
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Help Eyal critique running LLM inference in browser
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who wants to help eyal poke holes in this approach to run LLM inference… in browser?
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Chillin’ with HyperAgent vs babysitting agents in OpenClaw
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me chillin’ while @hyperagentapp does all the work
— Charly Wargnier (@DataChaz) 25 juin 2026
vs
my colleague still babysitting his agents in @openclaw https://t.co/l0g3aD75T6 pic.twitter.com/tCr3hdTZJzme chillin’ while @hyperagentapp does all the work vs my colleague still babysitting his agents in @openclaw
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DFlash: Drop-in Speculative Decoding for SGLang, vLLM, TensorRT-LLM
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/7 Drop-in for SGLang, vLLM, and TensorRT-LLM. No code refactoring. SGLang:
–speculative-algorithm DFLASH
–speculative-draft-model-path z-lab/Qwen3-8B-DFlash-b16 vLLM: via the Speculators library (
http://
docs.vllm.ai/projects/specu
lators
…, algorithm "dflash") MIT license. ICML 2026 accepted. -
Agentic coding requires explicit API contracts and docstrings
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Agentic coding forces you to design clean interfaces and document them well. An agent cannot read the implicit mental model shared by your engineering team, it can only read your API contracts and docstrings.
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Hermes Agent learns by failing and recording lessons
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Hermes /learn explained. agents usually learn the hard way. they struggle through a task live, fail a few times, find the path that works, and only then write down what they figured out. the lesson costs you a painful session before it becomes reusable. Hermes Agent by Nous
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Genspark Design: AI Tool Creates Production-Ready Assets from Ideas
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