Giving an AI application access to a database, API, file system, or internal service sounds simple until you have to maintain the integration. You need to define what the model can access, describe operations, execute requests safely, return structured results, and handle authentication. You may need to repeat much of that work when another AI […]

You deployed a reasoning model, ran it for a week, and got a billing email that was twice what you expected. You didn’t change the model. You didn’t change the prompt. You didn’t add more users. The only thing that changed is that the model started thinking harder and that thinking costs money you can’t […]

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 […]