Simon Willison’s Weblog·1 month ago·
14
● 5 sources
OpenAI introduced ChatGPT Images 2.5, an update to its image generation models used in ChatGPT and the GPT-Image API.
It reports use of more than 3 billion images, and the API adds two model IDs: gpt-image-2.5-sunburst and gpt-image-2.5-flare.
The models are described as responding faster, improving multi-turn instruction-following, and better preserving subjects from reference photos, with new CLI tooling support for reference images.
Amazon SageMaker Feature Store introduced the UpdateRecord API to update selected feature values in an existing feature record without performing a full read-modify-write cycle. The API limits updates to up to 100 features per call via a POST to /FeatureGroup/{FeatureGroupName}/Record. Updates are applied atomically (preserving omitted features), reducing latency, read/write costs, and preventing lost-update overwrites; it also requires Standard online stores to opt into the Standard_V2 storage format to use feature-level writes.
Lightsage, an API-Rex startup that helps software firms sell to autonomous AI agents, announced it raised seed funding to support “agent-led growth.” The round totals $4 million, led by Nexus Venture Partners. The company will expand its commercial and engineering teams and build more analytics, attribution, evaluation, and optimization to help vendors target AI agents instead of human buyers.
Pascal’s Pager launches to convert webhook JSON into readable iPhone push notifications using AI. It processes and retains the processed payloads for 30 days. The change is that developers can send a private webhook URL to Pascal and receive grouped iPhone alerts without building their own parsers.
Reducto released r-1, a document parsing model that replaces its multi-stage agentic OCR pipeline with a single full-page pass. Reducto reports a 20% reduction in error rate in a preview versus its own legacy pipelines while pricing it at $0.01 per page all-in. Teams can deploy it in preview via the V3 Parse API using settings.model:"r-1", with new Studio pipelines defaulting to r-1 and existing agentic processing only needed for specific advanced workflows.
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