
Cloudflare Runs Kimi and GLM at Scale: FP8 KV Caches, INT4 Weights, and a Cache Safety Net
Cloudflare runs Kimi K2.6 and GLM 5.2 on Workers AI with FP8 KV caches, INT4 weights and a KV cache integrity check. What each technique buys on GPU fleets.
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Cloudflare runs Kimi K2.6 and GLM 5.2 on Workers AI with FP8 KV caches, INT4 weights and a KV cache integrity check. What each technique buys on GPU fleets.

Cloudflare Workers can now accept inbound TCP and serve gRPC: a connect() handler via Spectrum, full-duplex gRPC from Containers, and gRPC-web translation.

Workers RPC now bridges Python and JavaScript, passing live objects, functions and streams between Workers with no schemas and no serialization code.

Octane is an MIT-licensed framework from Inferno's creator that compiles React-style hooks and Suspense to direct DOM code, no virtual DOM or rules of hooks.

How OpenAI built GPT-Live: a full-duplex voice model with no turn detector, Go on the media path, stateful handoffs, and the new WARP WebRTC transport.

Qwen 3.8 Max is a 2.4T-parameter MoE with 95B active, a 1M context window and $2/$6 per million tokens on QwenCloud, with open weights promised next week.

StateAct, from Salesforce AI Research, argues computer-use agents should inspect files, DOM and saved outputs through code, using screenshots only when needed.

The LLM judge is leaving the agent loop: evidence gates, verifiable rewards and deploy-time certificates replace verdicts with structure. Here is our bet.

Steve Yegge's Gas Town thesis is less about one tool than a shift from one coding agent to a durable, supervised colony of workers.

Steve Yegge's Continuous Thunderdome essay, explained: Beads work graphs, all-night agent loops, and the Land Rush that replaces CI/CD. What to copy first.

Steve Yegge's Flat Curve Society thesis turns the AI adoption question into an operating problem: teach people to use agents, then teach them to waste fewer tokens.

Steve Yegge's model-welfare essay as agent engineering: persistent seats over sessions, graceful handoffs, and user feedback that flows back to agents.
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