How Anthropic’s Mythos has rewritten Firefox’s approach to cybersecurity
Security researchers at Mozilla say Anthropic's Mythos has unearthed a wealth of high-severity bugs in Firefox.
InfoWorld AI·
Anthropic, of all companies, just shipped three quality regressions in Claude Code that its own evals didn’t catch. Think about that. Three regressions over a short six weeks, by the most sophisticated eval shop in AI. If this can happen to Anthropic, it most definitely can happen to you, and it likely will. In a refreshingly candid postmorten, Anthropic walked through what went wrong. On March 4, the team flipped Claude Code’s default reasoning effort from high to medium because internal evals showed only “slightly lower intelligence with significantly less latency for the majority of tasks.” On March 26, a caching optimization meant to clear stale thinking once an idle hour passed shipped with a bug that cleared it on every turn instead. On April 16, two innocuous-looking lines of system prompt asking Claude to be more concise turned out to cost 3% on coding quality, but only on a wider ablation suite that wasn’t part of the standard release gate. From inside the org, none of it trip
Read full articleSecurity researchers at Mozilla say Anthropic's Mythos has unearthed a wealth of high-severity bugs in Firefox.
Anthropic says it’ll use all the AI compute capacity from SpaceX’s ‘Colossus 1’ data facility in Memphis.
Teradata has launched its Autonomous Knowledge Platform, a new flagship offering that brings together data, analytics, AI development, agent orchestration, and governance across cloud, on-premises, and hybrid environments. The target customer is an enterprise that has moved beyond testing AI assistants and is now asking harder questions: which data agents can use, what actions they can take, how much they will cost to run, and who is accountable when something goes wrong. The company said the platform builds on its existing database engine and governance infrastructure, while adding new capabilities and more tightly integrating existing ones, including AI Studio, the Tera natural-language workspace, Tera Agents, Elastic Compute on Teradata Cloud, and the upcoming Teradata Factory for on-premises AI workloads. Teradata is entering a competitive market with this. Snowflake, Databricks, Microsoft, Oracle, and Salesforce are all trying to persuade customers that their platforms should beco
Meanwhile, the independent generative AI vendor expanded usage limits and reduced subscriber usage restrictions for big customers.
Users will be able to create a podcast from Codex or Claude Code and import it to Spotify
Ghent-based Tekst has raised €11.5M in a Series A led by Elephant to automate back-office processes using AI agents.
PLUS: Use Claude Design’s slide decks feature like a pro
Writing code has always been the most time- and resource-intensive task in software development. AI is changing that, and faster than most engineering organizations are prepared for. Tools like Claude Code and Cursor are already handling significant parts of code construction, freeing developers to spend more time on requirements, architecture, and design. But that shift creates a new challenge nobody is talking about enough. As AI takes on the heavy lifting, the skills that matter most are moving upstream: how to provide the right context for a prompt, how to evaluate what the model produces, and how to understand a problem deeply enough that you can’t be fooled by a confident but wrong answer. This piece explores those three skills and why developers who master them will have a significant edge over those who don’t. Beyond coding: Mastering the art of the prompt Software translation tools such as compilers and assemblers map a high-level description of code to a lower-level represent