AI 인프라 확장, aimock 테스트 자동화, 로컬 영상 생성, Codex 원격 실험

NVIDIA

@nvidia

20일 전

From accelerating scientific discovery to advancing healthcare, AI can transform every industry — but the infrastructure behind it must keep pace. At SB Energy’s PORTS-Pike Technology Campus in Southern Ohio, NVIDIA will be the exclusive AI compute infrastructure provider, with OpenAI as the customer. The campus project will create tens of thousands of Ohio jobs and invest hundreds of millions in the community.

Anthropic won't like this open-source repo. It is going to cost LLM providers a lot of money. Every CI run of an AI app today sends real requests to providers like OpenAI or Anthropic. Like any other LLM call, this too gets billed at actual API rates. So for teams with high commit volumes, this accumulates into a meaningful chunk of API spend. One common hack devs use is that instead of invoking the LLM API, the test calls a fake local server that speaks the same API and returns a dummy response. The catch is that the dummy response is a copy of what the provider returned on the day it was saved, and providers keep adding fields and changing types. So the tests keep passing against a schema that's no longer valid, while the real integration breaks in production. A smart approach is now actually implemented in @CopilotKit 's recently open-sourced aimock project. Every day, the repo's own CI sends a handful of requests to the real API and the same requests to the fake server, then compares both against the official client library's type definitions. Those are the only real API calls in the whole setup, and they run on the repo's own keys, not in anyone else's CI. A single team can push hundreds of commits a day, and thousands of teams are already doing that with coding agents. All of those runs stay offline, because one repo checks against the real API on everyone's behalf. When a check fails, a coding agent updates aimock's built-in response schema, the full test suite has to pass, and a patch version ships to npm. By simply upgrading the package, the corrected schema gets reflected in every project using it. The capability is not just limited to a single provider. The same server works for Claude, OpenAI, Gemini, Bedrock, Azure, Ollama, plus MCP tools, A2A agents, AG-UI event streams, vector DBs like Pinecone and Qdrant, and search, speech, image, and video endpoints. Here's the repo: https:// github.com/CopilotKit/aim ock … (don't forget to star it ) That said, mocking your API calls is one thing. AI engineers should also know how to test agents properly in the first place, which several teams still skip. I wrote a full walkthrough on that, covering build, testing, evals, tracing, and deployment. Read it below.

Perfect character swap with Minimax H3 on locally RTX 3090, Perfect character consistency, Minimax H3 character consistency in ComfyUI is next level (R2V) workflow & a detailed prompt in comment

Imagine showing this to someone who doesn’t follow AI news and saying "This is completely AI-generated." Be honest If I didn’t tell you this was made with Seedance 2.5, would you have believed it was real footage from the early 2000s? The Heisei hairstyles and texture are unreal the expressions, the slightly aged film look it doesn’t feel like AI at all. This Seedance 2.5 video is dangerous levels of realistic day by day,

Codex remote control is great! I can just start and monitor and steer research experiments on our cluster just from my phone. It's so much fun!

Stripe has finalized a deal to acquire OpenRouter for over $7 billion, per Bloomberg, about five times the $1.3 billion valuation the AI model gateway reached in a May funding round.