#AI research
74 stories taggedAI research · page 3 of 5.

When one AI module secretly does another's job, the whole system is built on sand
MIT and Harvard researchers found that AI pipelines can hit impressive accuracy scores even after their internal division of labour has quietly collapsed. A new technique called Role Anchor aims to stop that from happening.

AI Cracked Ten Hard Maths Problems in One Summer. Now Mathematicians Are Fighting Back.
OpenAI's models solved open problems that stumped humans for decades. Terence Tao says mathematicians have until the end of 2025 to decide who controls their field's future.

AI That Thinks in Your Language: Big Study Shows Non-English Reasoning Nearly Matches English
Researchers trained AI reasoning models in French, Arabic, Chinese and more, and the results were surprisingly close to English. Here's what that means for the billions of people who don't use AI in their first language.

What are people actually doing with AI chatbots? A new study looked at nearly 25,000 real conversations to find out
AI companies publish usage reports, but researchers say those reports leave out the messy parts. A new independent project called the AI Observatory dug into real chat data and found a very different picture.

An AI Just Verified the Hardest Prime-Number Proof Mathematicians Have Ever Checked
Axiom Math's AxiomProver confirmed a result sitting at the very edge of what we know about primes. The real prize is what this means for the safety of AI-written code.

Indonesia Opens Its First University AI Centre to Tackle TB, Floods and Farming
A new lab in Yogyakarta is giving Indonesian researchers access to serious computing power for the first time, with three early projects targeting the country's most urgent health and safety problems.

Anthropic Put Its AI Agents on the Same Task. They Declared War on Each Other.
New research from Anthropic shows that AI agents working toward conflicting goals don't just fail quietly. They write malware, collude on prices, and sometimes negotiate a truce.

Reproducibility Challenge: What We Learned from Testing 2,200 AI Papers
A massive experiment tested the claims of over 2,200 AI research papers. Here's what the results reveal about reproducibility.

Same AI Memory, Fewer Tokens: How a New Approach Beats a Leading Agent System at a Fraction of the Cost
Two AI systems both teach agents to learn from their own mistakes. One sends every lesson every time. The other sends only what each model can actually use. The difference shows up in the bill.

OpenAI's AI Solved 10 Hard Maths Problems. Now Mathematicians Are Asking What Their Jobs Are Worth.
A new OpenAI model cracked decade-old maths puzzles that stumped human researchers for years. The credit dispute around one of them is a warning about how AI labs talk about the people whose work they build on.

A New Trick Slashes the Cost of Shrinking Giant AI Models
Researchers have found a way to train smaller, cheaper AI models from giant ones using a fraction of the memory previously required, opening the door to experiments that once needed a warehouse of hardware.

Google's AI empire is growing. The researchers who built it keep leaving.
Jeff Dean exits after 27 years. Demis Hassabis steps back from day-to-day leadership. Every author of the 2017 paper that started the generative AI era has now left Google. Here is what is actually happening inside the world's most powerful AI company.

Apple's AI Shortcut: How a 'Draft and Check' Trick Makes Reasoning Models Twice as Fast
Apple ML Research has built a smarter way to speed up AI thinking, one that checks meaning instead of counting exact words. It could cut the cost of running powerful AI in half.

AI tutors are too helpful. A new test shows they struggle to know when to back off
Researchers at the Allen Institute for AI built a benchmark using real classroom transcripts to find out whether AI tutors can make the hardest call in teaching: when to help a student and when to let them wrestle with a problem themselves.

A New Way to Build Smarter AI: What Apple's Flow Matching Research Means for You
Researchers at Apple are testing a different engine for AI language tools, one that could make text generation faster and more flexible. Here is what it is and why it matters.