GPT-5.2 lifts workflows; Box sees performance jumps as model rewrites OCR
Why does a language model suddenly start touching code that was meant for scanning documents?
Latest breakthroughs in large language models and generative AI shaping the future of artificial intelligence and machine learning.
Why does a language model suddenly start touching code that was meant for scanning documents?
Google’s latest AI safeguard is called Budget Tracker. The feature sits inside the company’s new framework for managing how much compute and how many external tool calls an agent can use before it’s forced to stop.
Google’s cloud team rolled out a new version of its Gemini 2.5 Flash Native Audio model this week, promising smoother back‑and‑forth exchanges for voice‑first applications.
Why does Sam Altman’s ten‑year milestone matter now? OpenAI turned ten this month, and the company’s co‑founder used the occasion to look ahead rather than backtrack. He put a date on what many call “superintelligence”—2035.
Building an agent from scratch still feels like a niche skill, even as large‑language models dominate headlines.
OpenAI just rolled out GPT‑5.2, and it isn’t a single monolithic model any more. The company has split the new generation into three ChatGPT‑based tiers aimed squarely at enterprise users. Why does that matter?
OpenAI is moving at a speed that would make most product roadmaps look sluggish. Less than four weeks separate its latest model from the one that arrived just before it, and each iteration seems to be aimed at a different user‑experience goal.
A lawsuit filed by the late woman's estate accuses OpenAI’s chatbot of playing a role in a tragic killing.
Here's the thing: a new OpenAI API guide walks you through a live call to the gpt‑4o endpoint, complete with the exact Python snippet you’d paste into a notebook.
Teams that wrestle with invoices, contracts, or legacy PDFs know the pain of turning pages into usable data. A typical workflow still leans on manual entry or fragile code that breaks the moment a layout changes.
Starcloud’s latest test flight marks the first time a large‑language model has been trained beyond Earth’s atmosphere, using NVIDIA’s H100 accelerator to crunch data aboard a low‑Earth‑orbit platform.
Google now has half‑a‑million of its custom Tensor Processing Units out on lease, a scale that would have seemed impossible a few years ago.