Build your first AI Agent with Gemini, n8n and Google Cloud Run https://
buff.ly/zEKdNgk
#AI #MachineLearning #DeepLearning #LLMs #DataScience
SOFTWARE
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Build Your First AI Agent with Gemini, n8n, Cloud Run
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Tauri App Compatibility Issues on Older Intel Mac Hardware
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@conductor_build Trying the app on an older Intel mac, is it possible the current build doesn't run there? Not exactly up-to date but Tauri supports it… Thanks!
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Cursor AI Accelerates Code Shipping Across Complex Codebases
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@cursor_ai is helping us ship 3× more committed code across large, complex codebases. By accelerating onboarding and automating workflows from code generation to debugging, we can scale development quickly — with measurable gains in both speed and quality. Learn more → -
Integrating Gemini AI into Chrome: Future of Browser Technology
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From a window to the web to an AI-powered platform: How do you integrate Gemini into the world's most popular browser?
— Google AI (@GoogleAI) 6 février 2026
On this week’s Release Notes, @OfficialLoganK sat down with @rosterloh and @laparisa to talk about how they approached this integration and what the future of… pic.twitter.com/qRMyptvz4fFrom a window to the web to an AI-powered platform: How do you integrate Gemini into the world's most popular browser? On this week’s Release Notes, @OfficialLoganK sat down with @rosterloh and @laparisa to talk about how they approached this integration and what the future of
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Codex not recognizing CUDA on user’s machines
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I still can’t get codex to recognize that CUDA exists on my machines.
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Why AI Products Fail: Serving Phase Challenges and LLM Inference
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Why Most AI Products Fail (It’s Not Training) ❌
— Satya Mallick (@LearnOpenCV) 6 février 2026
Everyone focuses on training, but "serving" is where the real collapse happens. Learn the two phases of LLM inference: Prefill and Decode.#AI #MachineLearning #LLM #SoftwareEngineering pic.twitter.com/XKg886p9QdWhy Most AI Products Fail (It’s Not Training) Everyone focuses on training, but "serving" is where the real collapse happens. Learn the two phases of LLM inference: Prefill and Decode. #AI #MachineLearning #LLM #SoftwareEngineering
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EdgeFlowNet Optical Flow Deployment on OrangePix Plus Hardware
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EdgeFlowNet optical flow running on @orangepixunlong 5 Plus + Metis M.2 Community member Enmin solved some gnarly deployment challenges:
→ Custom 6-channel DataAdapter for frame-pair calibration
→ Debug flags to hunt down shape mismatches
→ Non-symmetric padding fix, no -
Voxtral Transcription Quality Improvements and FFT Fixes
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Voxtral (from @MistralAI) transcription quality is quite incredible, the way it handles the punctation and all the rest, makes transcribed audio messages so much more understandable. I implemented a few fixes in the FFT and now there is no longer a skipped tokens issue in voxtral.c
→ View original post on X — @guillaumelample, 2026-02-06 10:11 UTC
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Software careers facing inverse Lollapalooza effects from AI
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Software is having inverse Lollapalooza Effects, even if you argue AI can’t do XYZ there’s still other factors that make it a bad career choice rn. Pic from a video from last year where I ranked popular digital jobs and (as usual) for taking the negative stance on software the
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New AI Models Released, Lex Heading to SF to Build
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Claude Opus 4.6 & GPT Codex 5.3 out today, and OpenClaw recently. And I'm sure xAI/Grok & Google/Gemini will soon be out with more. What an exciting time to build stuff! I'm walking around with a smile, happy & sleep-deprived 🤣 Next week, I'll come to SF/Bay Area for a few days/weeks/months to hang out & build some stuff 😉 Looking to focus on programming, and contribute to good engineering teams. But occasionally socialize, in as much as my introvert brain allows. 2026 is going to be fun (and wild), LFG! PS: I'm doing a deep-dive podcast on OpenClaw with its creator (@steipete) soon. Let me know if you have questions.
→ View original post on X — @lexfridman, 2026-02-05 20:25 UTC