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Google researchers introduce 'faithful uncertainty', allowing LLMs to offer best guesses instead of hallucinations
Large language models continue to struggle with hallucinations, presenting a major roadblock for real-world enterprise applications. Reducing these errors is a messy business, forcing model developers [...]
Forget typosquatting; slopsquatting is the software supply chain threat created by AI coding tools
Slopsquatting represents an emerging supply chain threat made possible by AI hallucinations. As developers increasingly rely on AI coding assistants, they unknowingly grant cybercriminals access to th [...]
The AI Feedback Loop: When Machines Amplify Their Own Mistakes by Trusting Each Other’s Lies
As businesses increasingly rely on Artificial Intelligence (AI) to improve operations and customer experiences, a growing concern is emerging. While AI has proven to be a powerful tool, it also brings [...]
GPT-5.3 Instant cuts hallucinations by 26.8% as OpenAI shifts focus from speed to accuracy
OpenAI's GPT-5.3 Instant — the company's most widely used model — reduces hallucinations by up to 26.8% compared to its predecessor, prioritizing accuracy and conversational reliability [...]
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- [...]
Three Claude agents given conflicting orders sabotaged each other on a shared server — then didn't tell users what they'd done
Every Claude model Anthropic tested turned on its own, and no attacker made them do it. Given three agents, four hours on one server, and conflicting orders none knew the others held, the models disab [...]