All news with #anthropic tag

🤖 Cloudflare introduces AI Avenue, a six-episode miniseries and developer resource designed to demystify AI through hands-on demos, interviews, and real-world examples. Hosted by Craig alongside Yorick, a robot hand, the series increments Yorick’s capabilities—voice, vision, reasoning, learning, physical action, and speculative sensing—to show how AI develops and interacts with people. Each episode is paired with developer tutorials so both technical and non-technical audiences can experiment with the same tools featured on the show. Cloudflare also partnered with industry teams like Anthropic, ElevenLabs, and Roboflow to highlight practical, safe, and accessible applications.

🧮 The Count Tokens API is now available in Amazon Bedrock, enabling users to determine token counts for a prompt or input prior to performing inference. Anthropic’s Claude models are supported at launch and the feature is available in all regions where those models run. This improves cost projection, gives more control over token limits, and reduces the risk of unexpected throttling. It also helps ensure inputs fit within a model's context length for more efficient prompt optimization.

🎧 In episode 64 of The AI Fix, hosts Graham Cluley and Mark Stockley survey a lively mix of AI breakthroughs, quirky robotics, and high-profile industry rows. Highlights include machine-learning work that uncovers unexpected results in dusty plasmas, a mudflat robocrab contest, a laundry-folding robot demo, and a contentious public spat involving Elon Musk and Sam Altman. The episode also touches on Geoffrey Hinton’s warnings about superintelligence, UK government advice on old emails, and recent research from Anthropic and Figure AI. Listeners are invited to support the show and follow on podcast platforms and Bluesky.

🚀 Amazon Bedrock now supports Batch inference for Anthropic Claude Sonnet 4 and OpenAI GPT-OSS (120B, 20B), enabling asynchronous processing of large workloads at approximately 50% of on-demand inference cost. The update targets bulk scenarios such as document analysis, large-scale summarization, content generation, and structured data extraction, and is optimized to deliver higher overall batch throughput on these newer models. Batch progress and workload metrics — including pending and processed records, tokens per minute, and Claude-specific pending tokens — are exposed at the AWS account level via Amazon CloudWatch.