The “open weight” model is pulling the rug out from under OpenAI. China-based DeepSeek AI is pulling the rug out from under OpenAI. The DeepSeek algorithm is ‘open weight,’ which is similar to but different from ‘open source.’ Hardware limits, like “no Nvidia GPUs,” have always encouraged experimentation and innovation.

Chinese startup DeepSeek's artificial intelligence challenges major U.S. tech companies like Meta and OpenAI. Here's why.

Safety researcher Steven Adler recently announced his departure after 4 years, citing safety concerns. He claimed the AGI race is a huge gamble.

However, the consensus is that DeepSeek is superior to ChatGPT for more technical tasks. If you use AI chatbots for logical reasoning, coding, or mathematical equations, you might want to try DeepSeek because you might find its outputs better.

The release caps a big week that also saw the OpenAI making announcements related to U.S. government work.

OpenAI has also made the new model available via several of its application programming interfaces. Developers can use the APIs to integrate o3-mini into their applications. The API version of the LLM is available in three editions with varying output quality: o3-mini-low, o3-mini-medium and o3-mini-high.

Thanks to DeepSeek, OpenAI has released its frontier o3-mini model for free to all ChatGPT users. ChatGPT Plus users get the o3-mini-high model.

OpenAI just released o3-mini, a reasoning model that’s faster, cheaper, and more accurate than its predecessor.

On Thursday, OpenAI announced that it is deepening its ties with US government through a partnership with the National Laboratories and expects to use AI to "supercharge" research across a wide range of fields to better serve the public.

DeepSeek is causing havoc throughout the AI industry. U.S.-based tech companies that have heavily invested in AI saw their stocks take a tumble this week after the China-based startup released a new AI model on par with OpenAI's latest model, yet much cheaper to train — plus, DeepSeek made it free and open source.

It's 63% cheaper than OpenAI o1-mini and 93% cheaper than the full o1 model, priced at $1.10/$4.40 per million tokens in/out.