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Comment Re: AI is almost never the limiting factor (Score 1) 193

And then technology just froze. No sensor components got cheaper. Computer vision stopped, as a field. Multimodal AI didnâ(TM)t get invented. Robotic hand technology development stopped. Robotic planning and error recovery did not progress. Time just froze, after McDonalds ended its robotic program.

Submission + - An Amateur just Solved a 60-year-old Math Problem—by Asking AI (scientificamerican.com)

joshuark writes: Scientific American reports that a ChatGPT AI has proved a conjecture with a method no human had developed. A 23 year old student Liam Price just cracked a 60-year-old problem that world-class mathematicians have tried and failed to solve.

The new solution that Price got in response to a single prompt to GPT-5.4 Pro and posted on www.erdosproblems.com, a website devoted to the Erds problems.

The question Price solved—or prompted ChatGPT to solve—concerns special sets of whole numbers, where no number in the set can be evenly divided by any other. Erds called these “primitive sets” because of their connection to similarly indivisible prime numbers.Price wasn’t aware of this history when he entered the problem into ChatGPT.

Price sent it to his occasional collaborator Kevin Barreto, a second-year undergraduate in mathematics at the University of Cambridge. The duo had jump-started the AI-for-Erds craze late last year by prompting a free version of ChatGPT with open problems chosen at random from the Erds problems website. Reviewing Price’s message, Barreto realized what they had was special, and experts whom he notified quickly took notice.

Comment Re:What I find amusing is... (Score 4, Informative) 38

LLMs don't actually know their own capabilities.The description of what they *should* do is baked into the training data, but this doesn't always correlate with their actual abilities. Sometimes they can do things and not even know, and they can't tell if tools they should have are being disabled in some way. For example, Qwen 3.5 is a vision-capable model, but enabling vision in llama.cpp requires loading an additional file with the --mmproj parameter. The model will think it has vision enabled whether the extra file is loaded or not.

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