Picking an inference vendor used to be a short conversation. You wanted Llama behind an HTTP endpoint, three companies served it, and their prices sat close enough that the decision came down to whoever had capacity. The market has since split into a dozen serious operators running truly different businesses. The best open source LLM […]

Congress is asking American companies to explain their use of Chinese AI models. The House Homeland Security Committee and the Select Committee on the Chinese Communist Party opened a joint probe in April 2026, sending letters to Cursor and Airbnb. By July, DoorDash had received a similar inquiry. The State Department issued a formal warning […]

Your ticket classifier runs on a 1.6 trillion parameter model. It reads a support message, decides whether it is a billing question or a bug report, and returns one word. You’re paying frontier prices for a job a model a hundredth the size could finish in half the time. AI model distillation is the standard […]

DeepSeek Harness launched on August 13 and reads like a Claude Code competitor. The framing survives about ten minutes of looking through the source. The repository ships delegation backends named subagent-claude-code and subagent-codex, plus hook bridges that read the hooks.json you already wrote for Claude Code. DeepSeek built a runtime that can hand work to […]

The first multi-turn RL run you launch will spend most of its life doing something you would not call training. You watch GPU utilization sit under half, watch a step take eleven minutes, and go hunting for a bug in your gradient accumulation. There is no bug. The trainer is waiting on rollouts. This is […]

TL;DR: Best Inference Models and Platforms by Workload The best inference models for most production work are open-weight, and once you have picked one, the platform serving it moves your bill more than the model does. Llama 3.3 70B costs anywhere from $0.18 to $1.14 per 1,000 identical requests across seven providers. Here is the […]