MarkTechPost (3 hours ago)
An AI agent that reads the web pays 2 kinds of cost. The first is the retrieval charge: what a search or fetch API bills per request. The second is model processing: content passed from retrieved pages into an AI model consumes tokens, while reasoning and generated responses add further costs.
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Anthropic said that it will commit 5% of its shares to the fund.
Claude, finish drafting my single-use ray gun which can only vaporize $999 million worth of stuff and/or 49 people.
The outside watchdog can publish its findings without Anthropic’s approval.
Human memory is suggestible, and AI is making it worse.
Google Research released Harness2, an Apache-2.0 framework that rewrites an agent’s harness at test time. One refinement step lifted GLM-5 by 11.5 points on WorkBuddy-Bench with no weight updates.
In this tutorial, we implement Structured Data Models, NVIDIA’s new library that puts several pretrained foundation models for tables behind one PyTorch interface, and use it to make predictions without training.
Voxel51 3.0 merges search, curation, annotation and evaluation of multimodal sensor data into one platform for physical AI teams. It adds Voxel51 Agent with 45+ MCP tools, dataset versioning, and a free self-service tier.
Kyutai, with Inria and École des Ponts, has released REKI, a 2.4B vision-language-action model (VLA) for robot manipulation. The REKI vision-language-action model is pretrained only on public data. It also carries a cheap memory of its recent past.
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