WebGPU LLMs in the Browser: Local AI Is Becoming a Product Feature
WebGPU LLMs are shifting AI from “API call” to “product feature.” Here’s how to evaluate local browser models without falling for benchmarks or ignoring security.
WebGPU LLMs are shifting AI from “API call” to “product feature.” Here’s how to evaluate local browser models without falling for benchmarks or ignoring security.
Every AI video launch says “new era.” This Kling 3.0 analysis is the checklist that matters: control, consistency, and how many retries it takes to get something usable.
“Local” doesn’t mean safe if your assistant can read untrusted text and execute tools. Here’s the prompt injection Claude threat model for MCP extensions—and what to do about it.
AI code ships fast—and then nobody remembers why it exists. Here’s how Git Notes can turn a Claude Code audit trail into something your team can actually review later.
Most “agent orchestration” dies the moment the demo ends. Here’s the OpenClaw workflow test I’d run on Clawe to see if it behaves like a team, not a prompt loop.