VentureBeat AI
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55 minutes ago
A survey of 157 enterprises found that 50% have shipped AI agents that passed internal evaluations but then failed customers, yet 66% are moving toward fully autonomous, zero-human-in-the-loop deployment decisions based on those same evaluations. Only 5% fully trust automated evaluation today, with 29% citing misalignment between test results and real-world outcomes as the primary weakness. As a result, enterprises are granting agents greater autonomy while simultaneously losing confidence in the tests that govern that autonomy, creating an expanding gap between capability and assurance.
Anthropic News
UST, a technology and engineering services company, is integrating Claude into its platforms for hardware validation, healthcare, telecom, and banking operations, while training 20,000 of its engineers and consultants worldwide on the AI model. UST's iDEC validation platform already cuts chip validation cycle times by 50 to 70%, condensing standard four-day turnarounds into 48 hours by using Claude to read hardware designs and generate regression tests automatically. The integration enables earlier detection of design flaws and reduces manual scripting work, with all Claude-generated recommendations requiring human approval before implementation in regulated industries.
Anthropic News
Anthropic launched Claude Science, an AI workbench that integrates scientific tools, databases, and computing resources into a single environment for researchers. The platform includes over 60 pre-configured skills for genomics, proteomics, and cheminformatics, with access to major scientific databases like UniProt, PDB, and Ensembl. Scientists can now conduct multi-step analyses with auditable results and reproducible code, with one neuroscientist reducing review-writing time from two years to weeks using the system.
TechCrunch AI
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13 hours ago
Applied Computing, a London-based startup, raised $20 million in Series A funding to deploy an AI model called Orbital that helps oil and gas facilities integrate sensor data, engineering documentation, and physics-based analysis. The company claims Orbital can compress investigations that previously took days or weeks into seconds, and is already generating double-digit millions in annual recurring revenue across unnamed large, publicly listed energy operators. With the funding, Applied Computing plans to expand internationally, hire AI researchers, and establish operations in Houston and the Middle East to serve more energy clients.
