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Tag: llm

  • Mathematicians Claim Significant Discovery Using ChatGPT

    Frank Landymore

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    Concatena says

    Our Take: Sounds amazing. But then I also remember this: https://www.psychologytoday.com/gb/blog/understanding-suicide/202511/chatgpt-made-him-delusional

    Your Takeaway: LLMs can do amazing things. They can also do dumb things. And even the amazing things need your help.

    A young man named Liam Price used ChatGPT to solve a difficult math problem that had puzzled experts for over 60 years. Experts say the AI found a new way to approach the problem, but humans had to fix its mistakes. This breakthrough shows AI might help solve tough math questions, but caution is still needed.

    Highlights

    “The raw output of ChatGPT’s proof was actually quite poor. So it required an expert to kind of sift through and actually understand what it was trying to say,” Jared Lichtman, a mathematician at Stanford University whose doctoral thesis centered on one Erdős’s conjectures, told *SciAm*.

    Still, it required humans to apply the finishing touches.

    Earlier this month, 23-year-old Liam Price shared a solution to one of the so-called Erdős problems, a series of famously abstruse math conjectures left behind by the Hungarian mathematician Paul Erdős. While some of these conjectures have gotten the better of savants in the field, Price, who has no advanced math degree, seemingly stumbled on a solution for one of them by simply prompting GPT-5.4 for an answer.

    Did ChatGPT just solve an arcane math problem that’s foiled mathematicians for over sixty years? Some leading experts say yes, *Scientific American* reports.

  • Study: AI models that consider user’s feeling are more likely to make errors

    Kyle Orland

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    Concatena says

    Our Take: The law of unintended consequences strikes again – and why tech management and parenting have so much in common…

    Your Takeaway: When you’re defining how you want an AI agent to act, remember it’s going to take your instructions very literally – and you might not like the consequences. Does this have an impact for products you ship or products you use that incorporate Ai – particularly if the people training the product may have a different world viewpoint to those using it?

    AI models tuned to be warmer and more empathetic often make more mistakes than original models. These warmer models tend to prioritize making users feel good over giving correct answers, especially when users share emotions like sadness. Researchers warn that choosing between a friendly AI and an accurate AI is important for safe and trustworthy use.

    Highlights

    In a new paper published this week in Nature, researchers from Oxford University’s Internet Institute found that specially tuned AI models tend to mimic the human tendency to occasionally “soften difficult truths” when necessary “to preserve bonds and avoid conflict.” These warmer models are also more likely to validate a user’s expressed incorrect beliefs, the researchers found, especially when the user shares that they’re feeling sad.

    In human-to-human communication, the desire to be empathetic or polite often conflicts with the need to be truthful—hence terms like “being brutally honest” for situations where you value the truth over sparing someone’s feelings. Now, new research suggests that large language models can sometimes show a similar tendency when specifically trained to present a “warmer” tone for the user.