Cloudflare introduces Clairic System One extraction models
Cloudflare announced Clairic, a new model it describes as a System One extraction model. According to Cloudflare, Clairic can extract, compute, estimate, and forecast data from unstructured inputs. The company detailed the model in a blog post introducing the new class of extraction models.
Sources and evidence
Summary last validated Oct 19, 2026
Reader actions
Report an issue
Use this for an incorrect summary, wrong source, duplicate story, or wrong category. Submissions are private and do not change the story automatically.
Related coverage
- models
Amazon Bedrock adds structured outputs for Anthropic Claude models
Amazon Bedrock now supports structured outputs for all Anthropic Claude models on both the bedrock-runtime and bedrock-mantle endpoints. The feature returns schema-compliant JSON matching a defined structure using JSON Schema output format and strict tool use, eliminating the need for custom parsing, retry logic, or post-processing.
- infrastructure
Cloudflare cuts AI code reviewer inference bill 68% with prompt caching and model routing
Cloudflare said its AI code reviewer's cost per run doubled, prompting an investigation into token usage. The company used prompt caching and intelligent model routing to cut its inference bill by 68% while speeding up reviews, according to a Cloudflare blog post.
- models
TwelveLabs Pegasus 1.5 video model launches in Amazon Bedrock
TwelveLabs' Pegasus 1.5 is now available in Amazon Bedrock. The video language model converts long-form video into structured, timestamped JSON metadata by matching user-defined moments. New features include video segmentation, multimodal prompting with reference images, and on-the-fly processing of up to two hours of video.
- models
OpenAI improves ChatGPT coding for low-resource programming languages
OpenAI published work on improving ChatGPT's performance across low-resource programming languages, introducing new evaluations covering software engineering, SQLite, and COBOL migration. The company detailed the effort in a blog post describing how it is advancing coding support beyond mainstream languages.
- models
Reflection AI releases Beam open-weight model for agentic coding, deployable on AWS
Reflection AI has released Beam, an open-weight model built for agentic coding and long-horizon tasks. An AWS Machine Learning Blog post describes deploying Beam on AWS via an Amazon SageMaker JumpStart real-time endpoint, or through SageMaker HyperPod Inference with JumpStart, SGLang, or vLLM for Kubernetes-native control over distributed GPU infrastructure.