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363 results for “AI Agents”
… Assistant actually does Langfuse itself is an open AI engineering platform for observability, evaluations, prompt management and metrics. The documentation describes its purpose as helping teams collaboratively debug, …
… the record number itself. The report describes a shift: AI systems and autonomous discovery agents are finding more possible bugs, while human teams still have to verify, coordinate and patch them. That makes the story …
What this is about Elicit is an AI research tool for people who need to compare scientific sources, not just get a quick answer. The product is aimed at researchers, evidence teams, product managers in regulated …
… has temporarily paused its second funding round. Unite.AI says the round would have valued the Chinese AI lab at about $71 billion pre-money. Times of India also reported on July 26, 2026, that prospective investors are …
… not because online banking is broken today, but because AI is visibly entering a field where small groups of human specialists have traditionally spent years looking for mathematical weaknesses. What Claude Mythos …
… published a proposal on July 14, 2026 that makes the AI regulation debate much more concrete: a U.S.-led, expert-run body should test the most powerful AI models before they are widely released. This is not a routine …
… The more practical point is sharper: companies running AI products for millions of people do not only pay for training. They pay every day for every single answer. Jalapeño is aimed at that layer. OpenAI describes the …
What this is about IBM Bob is IBM’s attempt to move AI coding from individual assistant use into the governed software lifecycle of larger teams. IBM describes Bob as an AI SDLC partner for real codebases, not just a …
What this is about Bernie Sanders introduced the American AI Sovereign Wealth Fund Act on June 18, 2026. The core idea is unusually direct: large AI companies would not only be regulated or taxed. Under the proposal, …
… for prebuilt analytics skills, workflows, and later agents. Databox introduced it on June 30, 2026. The core idea: teams should not have to prompt from scratch every time they need to know which metrics matter. They can …
