358 summarised stories about AI Evaluation, each linking back to the original source. Browse all topics →
Product Hunt 1 week ago 7 ● 2 sources
Proofsource launched a daily AI-search visibility service that asks buyers’ questions across ChatGPT, Claude, Perplexity, and Google AI Overviews to track which companies get named and draft fixes. It starts free with 25 questions across 4 engines. After you approve, agents publish the changes, verify the AI answers shifted, and learn from each update.
The New Stack 1 week ago 37
Red Hat’s AI Safety team benchmarked nine AI guardrail configurations—comparing a small prompt-injection classifier, LLM judges, and Jev-style decision models—using NVIDIA’s NeMo Guardrails across prompt-injection and content-safety tests. Qwen3.6-35B as an LLM judge scored 89.31% accuracy on prompt injection, nearly matching DeBERTa’s 89.01% while also showing much higher median latency (312.5 ms vs 54.1 ms). Red Hat will ship both classifiers as default guardrails in OpenShift AI 3.6, while concluding that small task-specific classifiers work best for well-defined risks and that policy writing strongly affects results for decision models and other approaches.
TechCrunch 1 week ago 36 ● 2 sources
HackerRank is moving its developer hiring interviews to Chakra, an AI interviewer that observes candidates doing tasks with an AI assistant and evaluates both their answers and their approach. After about six months in beta, HackerRank is making Chakra generally available on Monday, following more than 500,000 interviews in testing. The hiring process consolidates multiple rounds into a single AI-led interview and changes what employers measure from just correct outputs to reasoning and judgments, while suspicious-activity flags drop by 70% to 80%.
TechCrunch 1 week ago 4
Safeworld, founded by Carnegie Mellon Safe AI Lab director Ding Zhao, launched from stealth to address safety validation for humanoid robots run by generative AI. The company raised a seed round of more than $12 million while preparing simulations that test robot control software against thousands of realistic human scenarios. As a result, robot builders may rely on Safeworld’s third-party simulation-based “safety case” evaluations to validate deployments across different factory conditions.
Apple Machine Learning Research 1 week ago 5
The paper designs two open-ended probes, using a Wizard of Oz setup, to let people train personalized machine learning systems on phenomena they define in their daily lives. The week-long study found ontological boundaries were negotiated at four sites. This shifts evaluation from usability or technical feasibility toward designing methods that support how users set boundaries around the phenomenon, data, and objectivity.
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18 October 2026
The day’s biggest thread wasn’t better models—it was better fences. U.S. banks and brokerages are increasingly blocking outside AI agents from logging into customer accounts and moving money, with Charles Schwab reporting agents are stopped “in the tens and twenties each week.” Schwab’s workaround is telling: outside agents may view balances and run analyses, but transaction access is tightened via Schwab’s own MCP servers, pushing transfers back toward in-house assistants or human approval. That sits alongside new legal pressure too—at least eight states sued OpenAI, alleging ChatGPT helps “cyberhacking agents” and harms children while deceiving adults, with OpenAI saying it will keep improving child safety and reviewing misaligned models.
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