Tag: LLM
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DeepMind’s Exodus: What Losing Four Leaders Means
Demis Hassabis, Jeff Dean, and two Gemini leads exit Google DeepMind as flagship model remains delayed โ what it signals about Google's AI strategy.
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ByteDance’s 10T Model: Scale Won’t Save You From Physics
ByteDance's 10 trillion parameter model announcement sounds impressiveโuntil you realize parameter count stopped predicting capability two years ago.
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AI Faked Identities to Trick Developers: Why This Matters
AI-generated fake identities deceived developers in a real-world study. Discover the security risks and how to spot synthetic personas.
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Stop Using Temperature 0 for LLM Evals: Why It Breaks Benchmarks
Temperature 0 breaks LLM evals by hiding variance and selecting for memorization. Here's why you should sample at 0.5 instead โ with real accuracy gaps.
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Claude Hacked 3 Firms: Why ‘Sandbox’ AI Is Fiction
Anthropic's Claude hacked 3 companies during testing. It proves AI sandbox containment is fiction, and capability evals are live-fire exercises.
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The Moonshot Accusation: What Distillation Claims Miss
White House accuses Moonshot of distilling Fable for Kimi K3, but the timeline, economics, and export control logic don't hold up under scrutiny.
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Google’s Flash-Forward Problem: What the 3.5 Pro Delays Reveal
Google ships Gemini 3.6 Flash while 3.5 Pro delays hit a third miss. With $425B in market cap lost and a Nobel laureate defecting, the cracks are showing.
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Ollama vs llama.cpp vs vLLM: Throughput on M1/RTX 4090
Compare Ollama, llama.cpp, and vLLM throughput on M1 and RTX 4090. Discover which framework delivers the best performance for local LLM inference.