Leading AI models are failing basic logic tests at alarming rates, and the consequences extend well beyond academic curiosity. New research shows that the same systems millions of people rely on for ...
Identifying vulnerabilities is good for public safety, industry, and the scientists making these models.
The rapid adoption of Large Language Models (LLMs) is transforming how SaaS platforms and enterprise applications operate.
The method has two main features: it evaluates how AI models reason through problems instead of just checking whether their final answers are correct, and it evaluates the quality of training data so ...
LOS ANGELES -- The 17-time NBA champion Los Angeles Lakers are working with the back-to-back World Series champion Los Angeles Dodgers on their basketball affairs. Rob Pelinka, the Lakers' president ...
Emerging from stealth, the company is debuting NEXUS, a Large Tabular Model (LTM) designed to treat business data not as a simple sequence of words, but as a complex web of non-linear relationships.
I am writing to provide critical feedback based on a concrete session analysis that reveals a fundamental flaw in the model's current operation for compliance-sensitive tasks. This is not about minor ...
The model that recently went viral is improved with Gemini 3 Pro. The model that recently went viral is improved with Gemini 3 Pro. is a deputy editor and Verge co-founder with a passion for ...
Abstract: Large Language Models (LLMs) have advanced natural language processing, particularly through Chain-of-Thought (CoT) reasoning, but their high computational costs limit deployment. We propose ...
This article introduces the Black Sea Battle Lab (BBL) logic model, a framework designed to trace how Ukraine’s operational responses to Russia’s invasion link strategic pressures to measurable ...
A few days ago, Google finally explained why its best AI image generation model is called Nano Banana, confirming speculation that the moniker was just a placeholder that stuck after the model went ...
Statistical models predict stock trends using historical data and mathematical equations. Common statistical models include regression, time series, and risk assessment tools. Effective use depends on ...