Anthropic has released Claude Opus 4.8 with stronger performance and better handling of uncertain or flawed data, including a greater tendency to flag issues rather than make unsupported claims. The update also introduces a "Dynamic Workflows" research preview for coordinating complex tasks across many subagents. TechCrunch reports: Opus 4.8 comes with the expected best-in-class benchmark results, but there's also particular attention to how the model manages bad or uncertain data. In the launch post, Anthropic's early testers found that the new model is "more likely to flag uncertainties about its work and less likely to make unsupported claims." Echoing this point, a testimonial from Bridgewater associates said the biggest difference in the upgrade was "Opus 4.8's tendency to proactively flag issues with the inputs and outputs of an analysis, something other models routinely missed and left to the users to catch." Together with the new model, Anthropic launched a feature called Dynamic Workflows, which will be available in research preview. The system is designed to help larger models like Opus manage complex tasks across hundreds of parallel subagents. "Claude Code alongside Opus 4.8 can now carry out codebase-scale migrations across hundreds of thousands of lines of code from kickoff to merge, with the existing test suite as its bar," the post explains. As for Mythos, Anthropic's most advanced model, the company hinted it could be made publicly available in the not too distant future. "We're making swift progress on developing these safeguards and expect to be able to bring Mythos-class models to all our customers in the coming weeks," the company wrote.

Read more of this story at Slashdot.

Robinhood is launching beta support for a new feature that will let AI agents make payments and trade stocks on users' behalf. The company is also rolling out a virtual credit card for AI agents, with spending limits and approval controls. TechCrunch reports: Robinhood said users on its platform can now create a separate account for their AI agents and connect them to a dedicated wallet. While these agents would be able to read and analyze users' portfolios to come up with trading strategies and suggest investments, they'll only be able to access the pre-loaded balance in the dedicated wallet to place orders. Users will get notifications of all trades their AI agent makes and will be able to monitor their activities within the Robinhood app. For some trades, agents will show a preview that users may have to approve before the order is executed. The company said it has also built in fraud detection protection, in which a team from Robinhood would review suspicious trades and help users resolve disputes. Robinhood says users can connect their AI agents to its Model Context Protocol (MCP) service to do things like analyze concentration risk and sector exposure, execute trades, or look through analyst notes to identify new investment opportunities across various sectors. The agentic trading feature is launching in beta and only allows stock trading right now. The company says it plans to add support for options, crypto, event contracts, futures, and prediction markets soon.

Read more of this story at Slashdot.