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New details about the real costs of training the model (much higher) and the source of the data (distilled from OpenAI against the T&Cs) are slowly surfacing, but it’s clear that Chinese AI startups are here to stay. The company claims its AI models rival those of top U.S. Let’s dig in to the main players.
In November 2022 I published a post titled “ generativeAI will go mainstream when it goes from playful to useful “, and I think you will agree that this transition is in full swing. 2023 was the year generativeAI went mainstream The pace of advancement in generativeAI has been astounding.
It’s only been a bit over a month since the start of 2025 past year has witnessed seismic shifts in technology, from breakthroughs in generativeAI to emerging solutions in climate tech and healthcare.
You succeed in convincing one company and a government to adopt computers and learn to code much faster than their competitors /adversaries. These technologies will transform businesses and government agencies. Today, 100s of billions of dollars in private capital have been invested in 1,000s of AI startups. AI Attack Surfaces.
Last year there were a lot of voices about the need to ‘slow down’ development of ‘G’d like’ AI (or basically, the pursuit of AGI). The Chip Wars between the US and China is an example of AI inequality, but so is the prevalent use of English as the main language to access LLM technology these days.
DeepSeek AI sparked a nationwide push in China to deploy its LLMs everywhere from hospitals to local governments. A new foundation model called Magma , claims to be the first for multimodal AI agents. Microsoft unveiled the 3.8B-parameter parameter text-only Phi-4-mini and 5.6B-parameter
Ron DeSantis have already used fake AI images of each other and we are still 16 months out from the vote. This is an election where the capabilities of GenerativeAI will quite simply have a massive influence. This week Sir Bob Geldof interviewed me about AI. In this context, politics is exceptionally vulnerable.
The truth will take time to percolate, Deepseek claimed they used only 5,000 GPUs- and old ones at that and the real number is estimated at 50,000 (it’s being investigated if the chips were acquired in Singapore, side-stepping the export ban to China). AI is having its moment. You can find the link (and subscribe) here.
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