New research reveals why even state-of-the-art large language models stumble on seemingly easy tasks—and what it takes to fix ...
The SportsLine Projection Model sees the Broncos covering the three-point spread in 50% of simulations but likes Jacksonville on the money line. The Jaguars win in 41% of simulations to bring value as ...
You've seen the model's best bets for New York Jets vs. New Orleans Saints. Now, get against the spread, total and money-line ...
Ancient pottery reveals early farmers were using math thousands of years before numbers, embedding geometry and patterns into ...
OpenAI announced the release of GPT-5.2 on Dec. 12, just a few days after CEO Sam Altman sounded a ‘Code Red’ alert amid stiff competition from Google’s Gemini 3. Altman shared on X, “It is a very ...
Pre-training Large Language Models (LLMs) on high-quality, meticulously curated datasets is widely recognized as critical for enhancing their performance and generalization capabilities. This study ...
24-year-old founder and CEO Carina Hong created Axiom Math in March 2025 and has recruited a team of ten employees, most of whom are from Meta, to build a math-focused AI model. Last fall, Carina Hong ...
OpenAI and Google DeepMind demonstrated that their foundation models could outperform human coders — and win — showing that large language models (LLMs) can solve complex, previously unsolved ...
[2025.09.15] We released the benchmark and evaluation code. [2025.09.08] Accepted by ISPRS JPRS. Mathematical reasoning is critical for tasks such as precise distance and area computations, trajectory ...
Assign the digits 0 through 9 to the letters below to create valid sums. Each letter stands for a unique digit, and all occurrences of that letter stand for the same digit. (For instance, if A = 6, ...
The authors do not work for, consult, own shares in or receive funding from any company or organization that would benefit from this article, and have disclosed no relevant affiliations beyond their ...
A new research paper from Apple details a technique that speeds up large language model responses, while preserving output quality. Here are the details. Traditionally, LLMs generate text one token at ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results