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Updated 19d
* I’m neither “pro-AI” nor “anti-AI.” I’ve been blocked for being perceived as both. —Actually, I’m honestly more anti-AI than pro-AI thus far, aside from specialized models and specific use cases, but I’m willing to consider information that’s new to me
AIが科学的発見→「自己改善で進化」に現実味 暴走リスクの加速も：朝日新聞
人間には届かなかった科学的な成果を出し始めたAI（人工知能）。米ビッグテックも、競うように科学AIを発表している。 グーグルは5月、「科学的な仮説」を生成するAIツールを発表した。未発見の現象やアイ…
Leiden Declaration on Artificial Intelligence and Mathematics
This declaration calls for action to address the challenges posed by the use of artificial intelligence within mathematics research.
AI Engineer Claims to Have Deciphered Linear A - GreekReporter.com
An AI engineer working outside academia says he has deciphered Linear A, a Bronze Age writing system from Minoan Crete.
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Mathematicians warn of AI threats to profession as industry encroaches
International Mathematical Union endorses warning about tech industry influence.
An OpenAI model solved a famous math problem that stumped humans for 80 years
I tried to explain OpenAI’s solution more clearly than OpenAI did.
How ‘Jagged Intelligence’ Can Reframe the A.I. Debate
A.I. has always been compared to human intelligence, but that may not be the right way to think about it. What it does well can help predict what jobs it may replace.
Why Can't Transformers Learn Multiplication?...
Language models are increasingly capable, yet still fail at a seemingly simple task of multi-digit multiplication. In this work, we study why, by reverse-engineering a model that successfully...
Why Can’t Powerful LLMs Learn Multiplication?
These days, large language models (LLMs) can handle increasingly complex tasks, writing complex code and engaging in sophisticated reasoning. But when it comes to 4-digit multiplication, a task taught in elementary school, even state-of-the-art systems fail. Why? A new paper by Computer Science PhD student Xiaoyan Bai and Faculty Co-Director of the Data Science Institute’s …
Why can’t powerful AIs learn basic multiplication?
New research reveals why even state-of-the-art large language models stumble on seemingly easy tasks—and what it takes to fix it
