GENERATIVE AI

→ View original post on X — @linusekenstam

Linus admits all clips will be AI, fears doomer label

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@linusekenstam

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16 February 2026 1h11

ohhh for sure, reality is all of the clips will be AI even the creator, but I can’t say that, because then people think I’m a doomer

→ View original post on X — @bilawalsidhu

Speculation on Model Release Strategy and Feature Deployment

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@bilawalsidhu

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16 February 2026 1h09

The clawdbot —> open claw rename foreshadowed it all. Zuck must not be too happy. And interesting that Anthropic didn’t even make a play. So what does this mean? I suspect new functionality keeps coming to open claw first – and the best stuff graduates to chatgpt proper. A

→ View original post on X — @elliotchen100

Open-source multimodal RAG framework discovery and integration

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@elliotchen100

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16 February 2026 0h00

Ever since I started working on Memory, I've been seeing RAG products every day. Discovered a one-stop RAG framework, open-source, MIT licensed. This library can be considered a multimodal superset based on LightRAG. Building on the LightRAG architecture, it provides a

Moonshot’s Ultra-Sparse Approach Struggles With Logical Reasoning

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15 February 2026 22h43

@zephyr_z9 On the topic of Moonshot affording compute, there's a risk… I think the ultra-sparse approach is failing to handle logical reasoning and problem solving like frontier models. Made a new benchmark digging deeper:

DeepSeek V4 Open Models Lag Behind Frontier AI

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15 February 2026 22h40

@teortaxesTex About DeepSeek V4 being able to compete with the frontier, I made a new benchmark that suggests open models (particularly the new ultra-sparse ones) are qualitatively worse at problem solving and logical reasoning:

Open Weights Model Performance: MoE Sparsity Challenges

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15 February 2026 22h38

I will add the remaining two (?) models rumoured for release early next week and finalize it with a blog post… In the meantime, if you have any theories why open weights struggle (my theory is that it's MoE/sparsity induced) — let me know!

→ View original post on X — @arrakis_ai

Codex vs Gemini: Frontend Coding Skills and App Integration Race

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@arrakis_ai

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15 February 2026 21h59

Do you think Codex will reach Gemini-level front-end coding skills faster, or will the ability to connect and use Gemini through the Codex App happen first?

Open Weights Models Lag Behind Frontier on Logical Reasoning

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15 February 2026 20h17

PREVIEW: The Joy Of Benchmarks (Q1'26) My new #AI benchmark on out-of-domain programming languages (joy) suggests that open weights models are qualitatively *far* behind the frontier on logical reasoning and problem solving… The newest models: GLM-5, Minimax M2.5, and Kimi

→ View original post on X — @kirkdborne

Modern Computer Vision with PyTorch — 2nd Edition Book

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@kirkdborne

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15 February 2026 19h56

2nd Edition, 746 pages, massive! Modern Computer Vision with #PyTorch #DeepLearning — from practical fundamentals to advanced applications and Generative AI: http://
amzn.to/3xAkB7X v/ @PacktDataML ——
#DataScience #MachineLearning #ML #GenAI #DataScientist
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