374 summarised stories about AI Evaluation, each linking back to the original source. Browse all topics →
Product Hunt 2 months ago 26 ● 2 sources
FetchSandbox MCP is presented as a tool to verify that an AI integration’s fixes work. The article provides no concrete dates, prices, or benchmarks. As a result, it frames a testing approach for AI integrations rather than reporting any measured performance change.
Tech Funding News 2 months ago 18
Vals AI raised a $40 million Series A led by Andreessen Horowitz at a $400 million valuation to measure AI performance on real-world tasks. Its evaluation work includes automated, private test sets that are run in limited numbers, and it turns around results within hours of getting access to a new model. The funding and product launches (including Vals Smith, frontier-risk benchmarks, and Vals Index 2.0) expand its independent scoring infrastructure and broaden its measurement as models improve.
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20 October 2026
The biggest throughline today wasn’t smarter models—it was how teams keep AI usable when it starts behaving less like software and more like an employee. At Fortune’s Most Powerful Women Summit, SharkNinja CIO Velia Carboni made the case for letting systems be “a little rogue,” then finding limits with guardrails, structured human oversight, and day-to-day harnesses. That security-by-process theme echoed across the rest of the day: Anthropic said its defenses against distillation attacks on Claude now cut stolen “reasoning” tokens by 10 to 100 times, while blocking distillers more often and banning many accounts; OpenAI rolled out chat-lock in ChatGPT with a four-digit PIN/Face ID and separate locked storage; and Datadog argued the SDLC bottleneck has shifted from code-writing to testing, pushing teams toward agent-generated, observability-tied test suites.
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