Studies show that gut health is on the decline, increasing the risk of a range of diseases. Reporting for BBC Tech Now, Jacqui Wakefield meets the researchers using new gut-on-chip technology to find out why, and how to fix it.
Brillant curation of these developments. The GPT-5.3 leak is particularly intresting because it shows OpenAI pivoting to "cognitive density" rather than just scaling up parameters. I've seen similar patterns in enterprise deployments where smaller, more efficient models actually outperform bloated ones on specific tasks. The pruning approach could fundamentaly change how we think about model architecture if the leaks hold true.
Thanks, appreciated, and yea scaling up seems to have hit limits. Meanwhile, having much less compute power available has made the Chinese creative, and it looks like they're onto something. Found this just too late to include it here, but very interesting nevertheless:
[Pinterest is experimenting with Chinese AI models to hone its recommendation engine. "We've effectively made Pinterest an AI-powered shopping assistant," the firm's boss Bill Ready told me. Of course, the San Francisco-based tastemaker could use any number of American AI labs to power things behind-the-scenes.
But since the launch of China's DeepSeek R-1 model in January 2025, Chinese AI tech has increasingly been a part of Pinterest. Ready calls the so-called "DeepSeek moment" a breakthrough. "They chose to open source it, and that sparked a wave of open source models," he said. Chinese competitors include Alibaba's Qwen and Moonshot's Kimi, while TikTok owner ByteDance is also working on similar technology.
Pinterest Chief Technology Officer Matt Madrigal said the strength of these models is that they can be freely downloaded and customised by companies like his - which is not the case with the majority of models offered by US rivals like OpenAI, which makes ChatGPT. "Open source techniques that we use to train our own in-house models are 30% more accurate than the leading off-the-shelf models," Madrigal said.
And those improved recommendations come at a much lower cost, he said, sometimes ninety percent less than using the proprietary models favoured by US AI developers. Pinterest is hardly the only US enterprise depending on AI tech from China. These models are gaining traction across an array of Fortune 500 companies.
Brillant curation of these developments. The GPT-5.3 leak is particularly intresting because it shows OpenAI pivoting to "cognitive density" rather than just scaling up parameters. I've seen similar patterns in enterprise deployments where smaller, more efficient models actually outperform bloated ones on specific tasks. The pruning approach could fundamentaly change how we think about model architecture if the leaks hold true.
Thanks, appreciated, and yea scaling up seems to have hit limits. Meanwhile, having much less compute power available has made the Chinese creative, and it looks like they're onto something. Found this just too late to include it here, but very interesting nevertheless:
[Pinterest is experimenting with Chinese AI models to hone its recommendation engine. "We've effectively made Pinterest an AI-powered shopping assistant," the firm's boss Bill Ready told me. Of course, the San Francisco-based tastemaker could use any number of American AI labs to power things behind-the-scenes.
But since the launch of China's DeepSeek R-1 model in January 2025, Chinese AI tech has increasingly been a part of Pinterest. Ready calls the so-called "DeepSeek moment" a breakthrough. "They chose to open source it, and that sparked a wave of open source models," he said. Chinese competitors include Alibaba's Qwen and Moonshot's Kimi, while TikTok owner ByteDance is also working on similar technology.
Pinterest Chief Technology Officer Matt Madrigal said the strength of these models is that they can be freely downloaded and customised by companies like his - which is not the case with the majority of models offered by US rivals like OpenAI, which makes ChatGPT. "Open source techniques that we use to train our own in-house models are 30% more accurate than the leading off-the-shelf models," Madrigal said.
And those improved recommendations come at a much lower cost, he said, sometimes ninety percent less than using the proprietary models favoured by US AI developers. Pinterest is hardly the only US enterprise depending on AI tech from China. These models are gaining traction across an array of Fortune 500 companies.
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Is China quietly winning the AI race?
https://www.bbc.com/news/articles/c86v52gv726o