OpenAI has made substantial progress with its deep learning systems, enhancing models to perform complex tasks more efficiently. CEO Sam Altman mentioned the ambition to create an intern-level research assistant by September 2026 and a fully autonomous expert AI researcher by 2028 during a recent live stream. This goal aligns with OpenAI’s shift to a public benefit corporation, which helps overcome limitations from its non-profit roots, allowing better fundraising and improved research capabilities. Jakub Pachocki, the chief scientist, indicated that this AI researcher would independently handle large research projects and hinted at the possibility of super-intelligent systems emerging within a decade, outpacing human capability in critical fields.
To meet these targets, OpenAI is investing in algorithm innovation and increasing compute-time duration models spend resolving problems. Existing systems function effectively within a five-hour limit and achieve results comparable to the top human competitors in events like the International Mathematical Olympiad. Pachocki believes extending this deliberation period is crucial for significant scientific breakthroughs, even suggesting that dedicating entire data centers to single tasks could be warranted. OpenAI sees these goals as vital for enhancing scientific research and enabling AI to accelerate discoveries, tackle challenges beyond human reach, and foster advancements in medicine, physics, and technology.
Altman highlighted that the new structure supports OpenAI’s ambitious timeline for AI assistants while maintaining a focus on responsible development. The non-profit OpenAI Foundation will keep a 26% ownership stake and steer research, alongside a $25 billion pledge committed to using AI for disease treatments and overseeing AI safety measures. Altman stated that the for-profit segment is positioned to better gather the funding needed for essential infrastructure improvements, with OpenAI planning to develop 30 gigawatts of infrastructure at an estimated cost of around $1.4 trillion in the coming years.
The ainewsarticles.com article you just read is a brief synopsis; the original article can be found here: Read the Full Article…
