MarkTechPost (2 hours ago)
Mistral released Timestral, a time series foundation model family from 5M to 209M parameters. The 209M model leads GIFT-Eval, TIME and fev-bench among zero-shot models and runs on CPU.
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The announcement comes as Anthropic lays the ground for a blockbuster stock market listing.
Exports have helped offset weak domestic spending, but trade tensions and AI doubts weigh on the outlook.
It’s a simple way to check whether an image has been created or manipulated, with a few caveats.
Not every chatbot needs to be a coding workspace
Anthropic said that it will commit 5% of its shares to the fund.
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.
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.
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