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The Pelican comparison grid for Astra is pretty interesting

Simon Willison’s Weblog 9 hours ago 8 sources

The writer generated pelican-on-bicycle SVGs with GPT-6 Astra and compared them in a grid against GPT-5.6 Sol, Terra, and Luna across multiple reasoning levels. Astra used 16 input tokens versus 26 for Sol and Terra, and Astra was about twice Sol’s base rate ($10/million input and $50/million output vs $5/$30). The results show Astra producing consistently more detailed pelicans (though legs are still not always correct below max) while making tier-to-tier pricing less disparate due to lower token usage.

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Saturday, 5 September 2026

Adaption Labs Introduces ‘Invent a Dataset’: Training Data Generated From a Task Description, Not a Seed Corpus

MarkTechPost 2 hours ago 40

Adaption Labs released Invent a Dataset, a feature that generates training data from a task description rather than using a seed corpus, schema, or labeling guide. It is live as of this week and generation runs on Adaption’s hosted platform using credits, with output available as JSONL, JSON, CSV, or Parquet after an async datasets.invent call. Invent a Dataset can feed the dataset ID directly into AutoScientist to co-optimize the training recipe, and Adaption claims average win rates of 64% versus 48% for its staff’s configurations.

Nvidia Buys Hugging Face for $13 Billion, Plus 9 More Big M&A Deals of the Week

Trending Topics 3 hours ago 39 15 sources

Nvidia agreed to buy Hugging Face to increase control of the open AI model platform while the article also lists 9 other large M&A deals across tech and infrastructure. Nvidia’s purchase price for Hugging Face is $13 billion. As a result, open-weight model distribution is expected to accelerate under Nvidia’s ownership, alongside multiple companies expanding data/AI services, agentic software, telecom capabilities, and data center cooling infrastructure through acquisitions.

Google Launches Agentic Video Understanding for Gemini Flash Models, Cutting Video Tokens by Up to 88%

MarkTechPost 4 hours ago 22 6 sources

Google launched agentic video understanding for its Gemini Flash models, replacing fixed 1 FPS single-pass video ingestion with an internal loop that navigates the timeline and loads only needed segments. The company reports up to 88% fewer video tokens and up to 66% lower cost on standard benchmarks. Availability shifts to a hosted Gemini API feature (no open weights) with a single video processing field selecting agentic mode and billed via standard token pricing (with navigation counted as thought tokens).

NVIDIA Releases Personal AI Router (PAIR): An Open Source Virtual Inference Router that Distributes Local AI Requests Across RTX, DGX Spark, and Mac Nodes

MarkTechPost 5 hours ago 30 7 sources

NVIDIA released Personal AI Router (PAIR), a virtual inference router that discovers compatible local machines and schedules independent inference requests across them while proxying existing Ollama and LM Studio endpoints. In its five-subagent demo using Qwen 3.6 35B A3B, it reduced average runtime from 18 minutes on one RTX Spark laptop to 8 minutes 48 seconds on a three-device cluster. This changes local multi-agent inference by routing each request to a single eligible node instead of letting requests contend on one machine, without pooling VRAM or sharding a single request.

Anthropic uses Claude to formalize proof of Fermat’s Last Theorem

SiliconANGLE 8 hours ago 38

Anthropic used Claude to turn Andrew Wiles’ Fermat’s Last Theorem proof into computer-verifiable Lean code. The formalization consists of 13 million lines of Lean code and was completed in 11 days. The result is a large Lean proof file that can be checked automatically by computers, reducing human-error risk and easing sharing.

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