A developer using coding agents can accumulate thousands of dollars in weekly expenses before anyone notices. It happened at LangChain, so we built a solution. How we use the LLM gateway internally
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Microsoft Open-Sources AI Coach to Fix Your Coding Habits
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Microsoft just built a coach that catches your AI coding habits and fixes them. Most developers using AI coding tools have no idea if they're improving. Which prompts they repeat. Which habits slow them down. Microsoft just open-sourced AI Engineer Coach to fix that. It's a
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Example startup videos with audio agent skill
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Example starter videos (you can download these to try).
— fofr (@fofrAI) 15 juin 2026
I have an agent skill that makes them and strips out any audio. pic.twitter.com/3H6AJvBvltExample startup videos (you can download them to try). I have an agent skill that creates and removes all audio.
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Fun trick to force Omni to fill black frames
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Here's a fun hack that nudges Omni into a style space that it's hard to get to with just a prompt:
— fofr (@fofrAI) 15 juin 2026
– take a video and trim it to a few seconds at the start/end/both
– pad the rest of the frames to be black (24fps, 720p)
– prompt the model: "fill in the black frames" (or similar)… pic.twitter.com/hm0RcCaBGZHere is a fun trick that pushes Omni into a stylistic space hard to reach with a simple prompt: – take a video and cut it to a few seconds at the start/end/both – fill the remaining frames with black (24fps, 720p) – prompt the model: 'fill
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Deleted tweet: API users misunderstand frontier model power in native harnesses
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Deleted a tweet on the fact that API users don't understand how much more powerful the frontier models are in native harnesses since I didn't differentiate in the post (limited characters!) between folks carefully evaluating other harnesses for tasks & those just using naked API.
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LEANN: Index millions with 97% less storage via graph recomputation
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Turn your laptop into a powerful RAG system! LEANN can index and search through millions of documents while using 97% less storage than traditional solutions without accuracy loss. LEANN achieves this through graph-based selective recomputation with high-degree preserving
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AI matches professional editor 84% in video cuts test
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Wow.
— Charly Wargnier (@DataChaz) 15 juin 2026
An AI and a professional editor were given the same 4-hour video project.
They made the exact same cuts 84% (!!) of the time.
This was the internal test behind SELECTS, a new long-form AI editing assistant just dropped by @cutback_video.
Most AI video tools focus on… https://t.co/sd7cmFEO9qWow. An AI and a professional editor were given the same 4-hour video project. They made the exact same cuts 84% (!!) of the time. This was the internal test behind SELECTS, a new long-form AI editing assistant just dropped by @cutback_video
. Most AI video tools focus on -

Sakana Marlin Launch: Virtual CSO Autonomous Research Assistant
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Today, we are launching our first commercial product: Sakana Marlin, Your Virtual CSO. Marlin is an autonomous research assistant for business, built around hours of long-horizon reasoning. Try Marlin: https://
sakana.ai/marlin
Blog: https://
sakana.ai/marlin-release
/#English
… You provide a research -

Download new local model as insurance against API loss
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DO YOURSELF A FAVOR: GO DOWNLOAD THIS NEW LOCAL MODEL AND KEEP IT IN STORAGE. Even if you don't have a massive GPU setup, having offline access to an intelligent model is a crucial insurance policy. Free API access won't necessarily last forever. Right now, the 12B-27B range
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Gradient Adversarial Moving Sample Method for Scientific Machine Learning PDEs
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Gradient Adversarial Moving Sample Method for Scientific Machine Learning in Solving Partial Differential Equation! #BigData #Analytics #DataScience #AI #MachineLearning #NLProc #LLM #Mathematics #IoT #IIoT #PyTorch #Python #RStats #TensorFlow #Java #JavaScript #ReactJS #GoLang