Chinese AI Model Delays End Casual Open-Weight Era
Everyone on Reddit sees the same thing: a bunch of Chinese labs promising new open‑weight models… and then quietly missing…
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Public Misconceptions About AI Are Breaking the Wrong Things
The boss leans back in his chair, taps the laptop screen, and says it again, slowly this time, as if…
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AI Misconceptions: Why Fluency Isn’t Competence Today
A manager leans over a developer’s shoulder, watching ChatGPT spin out a perfectly formed paragraph about a product they’re about…
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GLM-5 vs Claude Opus: Why Cheap Models Win for Agents
YC‑Bench just produced the sort of result that usually launches a thousand hot takes: GLM‑5 vs Claude Opus on a…
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AI-Generated Interview Ethics: Why Disclosure Is Not Enough
The strangest thing about Esquire Singapore’s Mackenyu piece is not the sentence, “The following interview was produced with Claude, Copilot,…
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Video Object Removal: What VOID Gets Right
The demos of Netflix’s new VOID model make video object removal look like sorcery: delete a person and the guitar…
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Gemma 4 Native Thinking Is a Real Developer Shift
Gemma 4 arrived with the usual numbers, E2B, E4B, 26B MoE, 31B dense, 128K-256K context, but the real shift is…
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AI Model Collapse Is Happening: Treat Data as Code Now
If you’ve asked an LLM for a simple command lately and watched it flail through three wrong answers, you’ve already…
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RBF Attention Reveals Dot‑Product’s Hidden Norm Bias
Swapping dot‑product attention for RBF attention sounds like an architectural revolution. In Raphael Pisoni’s experiment, it turned out to be…
