OpenAI's challenges in 2024 will shape the future of AI, setting precedence for AI regulation, AI governance and usage of data to train AI models.
Sam Altman finished the OpenAI "12 days of shipmas" with a reveal of ChatGPT o3 and a new method called deliberative alignment. Here's the big deal on this new technique.
Perhaps more than any other technology, AI has dominated the headlines this year. For reasons good, bad, fascinating, and possibly a little terrifying. And we wonder: what world-changing advances will happen in 2025?
Over the past month, we've seen a rapid cadence of notable AI-related announcements and releases from both Google and OpenAI, and it's been making the AI community's head spin. It has also poured fuel on the fire of the OpenAI-Google rivalry, an accelerating game of one-upmanship taking place unusually close to the Christmas holiday.
The rapid commoditization of AI models continues, even with a groundbreaking new approach known as inference-time compute.
OpenAI has launched the test phase for its new reasoning AI models, o3 and o3 mini, aiming to advance problem-solving and stay competitive with tech giants like Google.
OpenAI has also invested in several robotics startups such as Figure AI, 1X Technologies, and Physical Intelligence.
Discover the future of AI-powered video creation with Sora by OpenAI. This comprehensive guide will walk you through everything you need to know about Sora, its features, and how to use it effectively.
OpenAI said on Friday it was testing new reasoning AI models, o3 and o3 mini, in a sign of growing competition with rivals such as Google to create smarter models capable of tackling complex problems.
The courtroom battle between the New York Times and OpenAI may have a long-lasting impact on how AI is developed in the future.
It's been a really busy month for Google as it apparently endeavors to outshine OpenAI with a blitz of AI releases. On Thursday, Google dropped its latest party trick: Gemini 2.0 Flash Thinking Experimental, which is a new AI model that uses runtime "reasoning" techniques similar to OpenAI's o1 to achieve "deeper thinking" on problems fed into it.