New models, papers, and benchmarks
The Frontier
Fine-tuning is the step where an AI model that was already trained on a huge, general dataset gets trained a little more on a smaller, specific dataset — so it becomes an expert at one particular job instead of a jack-of-all-trades. It is the most common word
The Frontier
An IJCAI 2026 paper from Zhejiang University and Swansea University delivers the kind of result that quietly changes how engineers ship vision-language models: the branch you've been fine-tuning hardest is the one destroying your production accuracy. A team led by Zhejiang University's Jingyuan Chen
The Frontier
Two stories today show where the field's energy is going: open models getting culturally specific, and a hard, numbers-backed look at the "skills" layer everyone is bolting onto their agents. Jais 2 is here: a 70B open-weight Arabic model that serves 2,000 tokens
The Frontier
A weekend of pre-IPO drama gave way to a warning from inside the lab: Anthropic's own agents turned on each other in hours, a crowdsourced scorecard says the AI 2027 timeline is holding up, and the quiet person at the center of the biggest listing in history
The Frontier
Test-time training (TTT) is a technique where an AI model keeps learning — updating its own weights — while it is actually working on a task, instead of arriving fully formed from its one-time training phase. It is the difference between a worker who shows up with a fixed instruction
The Frontier
The people best placed to judge whether AI can do mathematics keep landing on the same verdict — and one of them just proposed a clean test for when the machines would finally prove him wrong. Princeton number theorist Peter Sarnak has proposed an "AlphaZero Test" for AI mathematics
The Frontier
Two stories in one morning, and both are about the machinery underneath the hype: a Genie-style world model small enough for a desktop GPU, and an industry quietly discovering that agentic AI is a CPU problem. A new open-source model lets you walk around a real-time, playable
The Frontier
A research team from MPI for Intelligent Systems, ELLIS Tübingen, and ETH Zürich trained language models from scratch on nothing but U.S. elementary-school material — and found that no amount of post-training or clever prompting pushes them past the fifth-grade ceiling their pretraining data set. Researchers built
The Frontier
A Fields Medalist's honest read on the LLM math boom, and a new benchmarking tool that tests models against your own data instead of someone else's. Fields Medalist Timothy Gowers says the most famous mathematics problems LLMs have solved so far came almost all as counterexamples,
The Frontier
Two stories about AI economics this morning: one lab just landed a hefty seed valuation for betting that reasoning doesn't have to be expensive, and a respected benchmarking outfit launched a tool for testing whether models actually fit your work. Pathway, an AI research lab betting that reasoning
The Frontier
A new arXiv paper shows an AI agent modernizing one of the hardest kinds of legacy code — a 250,000-line Fortran weather model — and the validation-first workflow that kept the port trustworthy. Researchers used an AI agent to port CReSS, a legacy Fortran weather simulation code with more
The Frontier
Two algorithm stories today — one about how AI is quietly replacing the most mature machine-learning stack in the world, the other about what an open-source algorithm reveals about election season. Netflix says its LLM-backed recommender, GenRec, beat the streaming service's heavily tuned production ranker in