youtube link for ai chitchat with logan kilpatrick is up now
GENERATIVE AI
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Complete n8n Guide: JSON, Nodes, AI Integrations
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By far the best n8n guide I’ve seen. Nate’s worked with 1,000s of users and just wrapped everything he’s learned into this 36-page guide! → Clear lessons on JSON, nodes and debugging
→ Cloud vs self-host setup
→ AI integrations & LLM chains Totally free. Link in ↓ -
Local Alternative to Gemini’s Dataset Analysis Feature in Colab
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Gemini has this feature which lets you analyze datasets in Colab. This one is a great local alternative to it. Definitely helpful!
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Chinese AI Models Optimized for Cheaper GPU Hardware
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Side effect of blocking Chinese firms from buying the best NVIDIA cards: top models are now explicitly being trained to work well on older/cheaper GPUs. The new SoTA model from @Kimi_Moonshot uses plain old BF16 ops (after dequant from INT4); no need for expensive FP4 support.
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Cheaper access to best AI models for everyone now available
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This is great news for the rest of us. It means cheaper access to the best available models for everyone. 非常感谢 @Kimi_Moonshot
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AI Mass Layoffs: Truth Behind Job Cuts
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The Truth About AI And The Mass Layoffs! https://
youtu.be/8g5img1hTes?si
=iUV6ciSu8mpz7Nc0
… via @YouTube #layoffs #artificial_intelligence #AI #JobIess #jobcut @smaksked @anand_narang @Khulood_Almani @AlbertoEMachado @baski_LA -
Anti-AI Resistance Movement Emerges Online
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The Anti-AI Resistance Is Here! https://
search.app/TsNzx #AI #artificial_intelligence #Robotics #Robot @altiamkabir @CyberRobooo @Eli_Krumova @enilev @Nicochan33 -
PhysToolBench: Testing MLLMs’ Physical Tool Understanding
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Can AI truly understand tools like humans do? Researchers introduce PhysToolBench, the first benchmark testing MLLMs’ grasp of physical tools—from recognizing and explaining how they work to creatively inventing new ones when none are available. Tests on 32 leading models show
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Perplexity Comet Android Early Access Invites Rolling Out
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Comet Android early invites are going out. If you want to maximize your chances for early access and shaping how the future of mobile browsing looks like – it all comes down to your Perplexity Android usage and Pro/Max user status! More invites will go out soon.
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DLER Method Cuts AI Output Length by 70% While Improving Accuracy
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Can shorter answers be smarter? Researchers say yes.
— 机器之心 JIQIZHIXIN (@jiqizhixin) 9 novembre 2025
New method DLER pairs simple truncation with better RL tricks to cut output length by >70% while improving accuracy over prior baselines, such as batch reward normalization, higher clipping, dynamic sampling.
It also scales… pic.twitter.com/75UXfQ0a6KCan shorter answers be smarter? Researchers say yes. New method DLER pairs simple truncation with better RL tricks to cut output length by >70% while improving accuracy over prior baselines, such as batch reward normalization, higher clipping, dynamic sampling. It also scales