At the core of every AI coding agent is a technology called a large language model (LLM), which is a type of neural network ...

Every frontier model breaks under sustained attack. Red teaming reveals the gap between offensive capability and defensive readiness has never been wider.

Voice-Based AI Impersonation is reshaping cybercrime. Know how LLM-Powered Social Engineering uses cloned voices to trick ...

Apple’s “App Intents” and Huawei’s “Intelligent Agent Framework” allow the OS to expose app functionalities as discrete actions the AI can invoke. More aggressive implementations use multimodal vision ...

Integrating audio and visual data for training multimodal foundational models remains a challenge. The Audio-Video Vector Alignment (AVVA) framework addresses this by considering AV scene alignment ...

Meta Platforms (META) may release a new large language model in the first-quarter of 2026, as the Mark Zuckerberg-led company looks to further compete with Google (GOOG) (GOOGL), OpenAI (OPENAI) and ...

Apple researchers have published a study that looks into how LLMs can analyze audio and motion data to get a better overview of the user’s activities. Here are the details. They’re good at it, but not ...

A new report compares Google rankings with citations from ChatGPT, Gemini, and Perplexity, showing different overlap patterns. Perplexity’s live retrieval makes its citations look more like Google’s ...

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 ...

The AI researchers at Andon Labs — the people who gave Anthropic Claude an office vending machine to run and hilarity ensued — have published the results of a new AI experiment. This time they ...

On the surface, it seems obvious that training an LLM with “high quality” data will lead to better performance than feeding it any old “low quality” junk you can find. Now, a group of researchers is ...