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What credible people across AI noticed, why it matters, and where the field is converging or disagreeing.
One card per development. Sources are clustered; expert reactions remain attributable.
1 directory member surfaced this signal.
“What if your LLM woke in seconds, not minutes? Tested Ollama vs vLLM on Modal (Qwen3.6-27B). vLLM wins on cold starts and throughput. Post: setup, 3 snapshot bugs, CUDA graphs. How do you handle cold starts? buff.ly/e8LX5OE #llm #vllm”
1 directory member surfaced this signal.
“Does AI widen the expert-novice gap? Live-demoed a Bayesian model with an agent. It amplified my judgment. For experts, a microscope. For novices, fast wrong answers. 'Vibe zones' and trust scaling with verification. What's your experience? #ai #datascience…”
1 directory member surfaced this signal.
“What if your agent learned from its mistakes without you telling it to? I built a plugin that watches sessions, extracts lessons, and patches skills. 922 observations, 200+ reviews in 10 days. It patched a skill on its own. No babysitting. #opencode #aiagen…”