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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 [...]
OpenAI report reveals a 6x productivity gap between AI power users and everyone else
The tools are available to everyone. The subscription is company-wide. The training sessions have been held. And yet, in offices from Wall Street to Silicon Valley, a stark divide is opening between w [...]
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 [...]
DataGrail report finds your vendor may be sending data to AI models you never approved
The data processing agreement (DPA) — the bedrock contract companies use to evaluate how vendors handle personal data — can no longer be trusted at face value. That is the central, and arguably mo [...]
98% of market researchers use AI daily, but 4 in 10 say it makes errors — revealing a major trust problem
Market researchers have embraced artificial intelligence at a staggering pace, with 98% of professionals now incorporating AI tools into their work and 72% using them daily or more frequently, accordi [...]
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- [...]