THE OVERSTRUCTURE

[THE OVERSTRUCTURE @theoverstrcture]

Anyone is welcome to contribute to this awesome project!

Discord : https://t.co/7ERBYxPO7J

[Junghwan Lim @junghwan_l]

@theoverstrcture built Motifcode, a coding harness designed for Motif-3. It's a community project, not an official release, and it's the most thoughtful integration work I've seen for Motif-3 so far.

Worth a look if you're building agents!
🔗 https://t.co/9bFasmKSHv

[Dan Kornas @DanKornas]

If your coding model’s tool calls keep breaking, the harness matters.

Motifcode is a terminal coding agent harness built specifically for Motif-3.

It helps you run a model-specific coding workflow by pairing an interactive CLI with tool-call repair, permission prompts, and a tool setup shaped around Motif-3.

That gives you an agent interface built around the model’s observed tool-call format instead of assuming a generic client will fit.

Key features:

• Terminal-first workflow – interactive sessions include a transcript, prompt, slash commands, and `@` file mentions
• Model-specific handling – its prompt layout, parser, and failure handling are designed around measured Motif-3 behavior
• MCP connections – supports stdio, Streamable HTTP, and legacy SSE servers, plus built-in presets
• Skills and agents – includes core skills, workflow bundles, and built-in subagents for common tasks
• Session continuity – recorded sessions can be resumed, while `--continue` loads the latest conversation in a directory

It’s open-source (Apache License 2.0).

Link in the reply 👇

[THE OVERSTRUCTURE @theoverstrcture]

Thank you for sharing my project! Feel free to contribute to Motifcode.
Discord : https://t.co/Q2o6QRW14a

[Infron @InfronAI]

Taewoo Park took Motif-3 into the terminal.
He built Motifcode so you can work on coding tasks with the model inside your repo. Open a project, run
npx motifcode , and try it on that failing test.

It’s an independent open-source project: https://t.co/dvJMURqGVC

[THE OVERSTRUCTURE @theoverstrcture]

@InfronAI Thank you for sharing my project! Feel free to contribute to ours

Discord : https://t.co/Q2o6QRW14a

[THE OVERSTRUCTURE @theoverstrcture]

@MaxForAI @GregoryConti19 I think you guys might be love this article...!
https://t.co/CtBnisbKPA

[THE OVERSTRUCTURE @theoverstrcture]

@GregoryConti19 I think you might be love this article...!
https://t.co/CtBnisbKPA

[Anthropic @AnthropicAI]

Today, we're kicking off the first phase of the research preview for Model Hardware Standard (MHS): a new standard for AI agents to safely operate physical equipment in scientific research and advanced manufacturing.

Read more: https://t.co/XQ2y9EW7Af

[미대코더 | ArtCoder @tigertigerhan]

🧵 KAIST 물리학과 + 수리과학 복수전공하는 지인이 강력 추천해서 공유합니다.
시험 준비하면서 직접 개발해 몇 달째 미친 듯이 잘 쓰고 있는 공부 무기, PAIDEIA를 공개합니다.

[THE OVERSTRUCTURE @theoverstrcture]

@tigertigerhan 이제야 이 글을 봤네요 ㅎㅎ 제작자입니다! 공유해주셔서 정말 감사합니다

[Marco Ramilli @Marco_Ramilli]

🤖 DRIFT
⭐ 19 stars

Have a MacBook and a gaming PC? Split a single LLM across both (MPS + CUDA) with bit-for-bit identical inference—no complex datacenter required.

🔗 https://t.co/TzX3M3c7ZR

#AI #MachineLearning

[THE OVERSTRUCTURE @theoverstrcture]

@Marco_Ramilli Thank you for sharing!!

[Marco Ramilli @Marco_Ramilli]

🤖 Agent-Blackbox
⭐ 45 stars

Open your coding agent's black box. Replay runs as a live session map, audit context costs, and write fixes locally—no API key, one npx command.

🔗 https://t.co/Ee1Sq5TJ3f
🌐 https://t.co/Q8rvbAy5Xi

#AI #MachineLearning

[THE OVERSTRUCTURE @theoverstrcture]

시험 공부할때 GPT한테 pdf 다 밀어넣지 마세요.
명령어만 입력하면 패턴 다 분석해서 시험 맞춤형으로 벼락치기 바로 도와줍니다. KAIST 물리학과/수리과학과 복수 전공하면서 제가 쓰려고 만들었는데, 오픈소스로 공개합니다. #시험기간

https://t.co/rVO3Bv2Cgd

[THE OVERSTRUCTURE @theoverstrcture]

https://t.co/01sH9DJmnM

[THE OVERSTRUCTURE @theoverstrcture]

MagLab: an AI for Science harness for spintronics. LLM orchestrates; numbers come from deterministic tools + W3C PROV.

Built as an undergrad intern at KAIST. Feedback welcome 🙏

https://t.co/oGvkLDAB9B

@AI_for_Science @Spin_IJL @spintronicsinfo @NationalMagLab

[THE OVERSTRUCTURE @theoverstrcture]

https://t.co/rVO3Bv2Cgd

[THE OVERSTRUCTURE @theoverstrcture]

Stop renting your own learning. PAIDEIA — a Claude Code plugin that turns your own course materials, HWs, and handwritten errors into a permanent local study graph. Plain markdown only.

https://t.co/peTDVveix1

@AnthropicAI @claudeai @andrewng @rasbt @NextAILeaders

[Andrej Karpathy @karpathy]

Personal update: I've joined Anthropic. I think the next few years at the frontier of LLMs will be especially formative. I am very excited to join the team here and get back to R&D. I remain deeply passionate about education and plan to resume my work on it in time.

[ClaudeDevs @ClaudeDevs]

Useful tip to cut time-to-first-token on longer prompts in the API: pre-warm the prompt cache.

Send your system prompt before the user prompt. Claude writes it to the cache, but skips generating any output.

When the real user request lands, it'll hit a warm cache.

[OpenAI @OpenAI]

Introducing GPT-Rosalind, our frontier reasoning model built to support research across biology, drug discovery, and translational medicine.