paper >
https://
github.com/catnip-ai-tech
/MaineCoon/blob/main/MaineCoon_Technical_Report.pdf
…
@datachaz
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MaineCoon Technical Report Released on GitHub
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GLM-5.2 open-source model matches Claude Opus 4.8
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@ZAI_ORG JUST DROPPED GLM-5.2, AND IT IS PUNCHING RIGHT AT THE LEVEL OF CLAUDE OPUS 4.8 The kicker? It’s a 753B parameter model with a true 1M-token context, released fully open-source under an MIT license What makes this release technically interesting: → IndexShare
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AI AGENTS TEST YOUR LOCAL UNCOMMITTED CODE IN THE CLOUD
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AI AGENTS CAN NOW TEST YOUR UNCOMMITTED LOCAL CODE DIRECTLY IN THE CLOUD Zero commits. Zero pushes. No waiting for CI loops. … and it’s entirely open-source! A new project called Crabbox just dropped, and it fixes the slowest part of cloud-dependent development.
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User asks if ChatGPT interface is normal version
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Is this the "normal" version of ChatGPT? The interface looks different from mine.
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Index entire Linux kernel in 3 minutes with codebase-memory-mcp
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How do you index the entire Linux kernel (28M lines of code) for an AI agent in 3 minutes? You stop letting the agent read files one by one. There is a fascinating new open-source release called codebase-memory-mcp. It's a code intelligence engine that swaps traditional
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Google’s 50-page breakdown on AI agent failures and vibe coding shift
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My friend @Saboo_Shubham_
, @AddyOsmani and the team at Google just published a 50-page breakdown on the shift from vibe coding to agentic engineering. It covers the new Software Development Life Cycle with AI Agents. The most interesting takeaway? Most AI agent failures aren't -
AI-driven click farm evades detection by adapting to UI changes
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We are watching the traditional "click farm" get a massive AI upgrade.
— Charly Wargnier (@DataChaz) 15 juin 2026
Rows of smartphones rigged with mechanical styluses are now swiping 24/7.
But instead of dumb, repetitive tapping, an AI brain is driving the behavior to evade detection:
→ Adapting to UI changes in… pic.twitter.com/8LSGiCnLsiWe are watching the traditional "click farm" get a massive AI upgrade. Rows of smartphones rigged with mechanical styluses are now swiping 24/7. But instead of dumb, repetitive tapping, an AI brain is driving the behavior to evade detection: → Adapting to UI changes in
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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 -
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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Satya Nadella argues AI needs human intuition to be effective
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Will AI replace human intuition?
— Charly Wargnier (@DataChaz) 15 juin 2026
Satya Nadella argues the exact opposite today.
He makes a compelling case that without human direction, AI is just compute running in circles ↓ https://t.co/E2d93tRZbY pic.twitter.com/njEic2cbzcWill AI replace human intuition? Satya Nadella argues the exact opposite today. He makes a compelling case that without human direction, AI is just compute running in circles ↓