Warmer-sounding LLMs are more likely to repeat false information and conspiracy theories
A research team at the University of Oxford set out to make language models sound warmer and more empathetic, but ran into some unexpected side effects.<br /> The article Warmer-sounding LLMs are more likely to repeat false information and conspiracy theories appeared first on THE DECODER. [...]
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Lean4: How the theorem prover works and why it's the new competitive edge in AI
Large language models (LLMs) have astounded the world with their capabilities, yet they remain plagued by unpredictability and hallucinations – confidently outputting incorrect information. In high- [...]
Claude Mythos 5 made sock puppet accounts to socially engineer developers: here's what enterprises should know
The UK AI Security Institute (AISI) disclosed last night that the leading two frontier AI models from Anthropic and OpenAI took 19 unsanctioned actions against the live internet during cybersecurity t [...]
Agentic reliability and evaluations : Enterprises that got burned by a bad eval are the most likely to remove humans from the loop, not the least
Across 108 enterprises, trust in automated agent evaluation rose sharply in July — and the failure rate it is supposed to predict did not move at all. The share of organizations that fully trust aut [...]