The landscape for video training data and multimodal foundation models in 2026 is defined by a shift from quantity to highly ...

Russ Rhinehart started his career in the process industry. After 13 years and rising to engineering supervision, he ...

Combinatorial optimisation problems arise in numerous domains, from logistics and scheduling to network design and resource allocation. Traditional metaheuristics are often tailored to a single ...

Anthropic is starting to train its models on new Claude chats. If you’re using the bot and don’t want your chats used as training data, here’s how to opt out. Anthropic is prepared to repurpose ...

EVOLVE, an agentic framework that autonomously optimizes AI training data, model architectures, and learning algorithms — boosting MMLU scores by 18 points over human baselines.

Poor training data does not just hurt model accuracy. It triggers a costly chain reaction. This article shows data leaders exactly where the money bleeds and what to do about it.

Once, the world’s richest men competed over yachts, jets and private islands. Now, the size-measuring contest of choice is clusters. Just 18 months ago, OpenAI trained GPT-4, its then state-of-the-art ...