Bob M

Kimi K3 dropped on July 26, 2026, and I had the weights pulled the same day. Here's what solo builders actually need to know. Moonshot packed 2.8 trillion parameters into this thing. It's got a 1 million-token context window. Native vision support too. The whole

The Model Context Protocol 2026-07-28 specification shipped on July 28, 2026. And it is the largest rewrite since MCP launched. The headline change is simple to state and hard to undo: the protocol core is now stateless. That means the `initialize` handshake, the `Mcp-Session-Id` header. And the session model that

AI tools can generate 80% of your first drafts. That's not marketing talk. That's what actually happens when a small team starts using them right. We've been doing this for about nine months now and honestly the number tracks. Four out of five blog

Celeris-1 is a diffusion‑architecture language model. It generates 1,664 tokens per second. Median latency sits at 158 ms. And it scores 75.9% on MMLU‑Pro. The same benchmark territory where GPT‑5 lives. Honestly, those numbers kinda speak for themselves. But here's the practical takeaway:

So Google quietly killed off three sampling parameters. `temperature`, `top_p`, `top_k`. Gone. Gemini 3.6 Flash and Gemini 3.5 Flash-Lite don't want 'em anymore. Docs call 'em deprecated and ignored【F1】. That's the present tense situation. And down the road? Next

AI guardrails are supposed to keep us safe, but in practice they shut down legitimate defense work. On July 19 a developer reported that Kimi K3 repaired 15 critical security vulnerabilities that OpenAI Codex and Anthropic Fable 5 refused to touch because of their cybersecurity guardrails F1. The question is