If you’ve ever spent two days pulling data out of an APM tool just to answer “how many virtual users should I run in my load test?”, this tutorial is for you. By the end, you’ll know how to derive eve

Last week, OpenAI evaluated two models on an exploit benchmark within an isolated sandbox. Guardrails were reduced for testing, and the models found a vulnerability in their environment, accessed...

The post America’s Open-Model Paradox appeared first on Sequoia Capital.

Anyone building with AI runs into the same tradeoff: how to get the most intelligence per dollar, the right model at the right cost for each task. DigitalOcean Inference Engine is built to help...

The AI industry has largely focused on language-based approaches, using transformers trained on massive datasets to predict words or fill The post Nvidia’s new DNA model learns what token...

Cursor, the AI coding tool recently acquired by Elon Musk’s SpaceX in a $60 billion all-stock deal, has launched a The post Cursor, Ramp, and Meta are all building model routers — but two have...

Most segmentation tutorials begin by choosing a model, feeding images into it, and tuning hyperparameters until the metric improves. But this skips the step that often matters most: understanding the

Anthropic is bringing the team behind AI startup Mendral on board to strengthen Claude’s software engineering capabilities. As part of The post “Every few months, a new model made part of our...

The prompt a production LLM receives is almost never something a person wrote. By the time a request reaches the model, your app has stitched together system instructions, retrieved documents,...

Somewhere around your third agent, someone in a design review asks, "Shouldn't we be using A2A for this?" It's a fair question that most teams can't answer well, because the two big agent...

OpenAI and Hugging Face share early findings from a security incident during AI model evaluation, highlighting advanced cyber capabilities and lessons for defenders.

The race to make AI inference cheaper is pushing chip design beyond general-purpose accelerators. We’re now moving toward silicon that The post Google just bet its inference future on a chip built...

Token serves as the fundamental unit of computation in modern autoregressive models, and generation length directly influences both inference cost and reasoning performance. Despite its...

Harnesses can lead to compositional generalization: we observe a property in training RLMs, in which similarly structured tasks are viewed as isomorphic and all individual LM calls in the harness...