Who's afraid of Chinese models?
Everyone is worried about Chinese models, but the frontier labs will be fine; we need to enable open U.S. alternatives.
On the business, strategy, and impact of technology.
Visit stratechery.com → On Hacker News May 2013 – Oct 2026
Tech Industry & Business 180Society, Policy & Culture 48AI & Machine Learning 21Hardware & Electronics 17Career & Management 7Security & Privacy 4
Everyone is worried about Chinese models, but the frontier labs will be fine; we need to enable open U.S. alternatives.
The first obvious casualty of large language models is homework: the real training for everyone, though, and the best way to leverage AI, will be in verifying and editing information.
The end of a dramatic weekend in tech is that OpenAI has split and Microsoft is partnered with one and has hired the other; this is the ultimate failure case of what should have been a for-profit c…
Nvidia is finding new ways for its customers to raise money, and it’s expanding the risk of the AI buildout significantly.
An interview with OpenAI CEO Sam Altman and AWS CEO Matt Garman about their new partnership, plus my thoughts on OpenAI and Microsoft’s new deal.
Nvidia’s acquisition of ARM only makes sense from a financial perspective, unless you buy Jensen Huang’s datacenter dreams.
More on Bing, particularly the Sydney personality undergirding it: interacting with Sydney has made me completely rethink what conversational AI is important for.
OpenAI and Nvidia are both under threat from Google; I like OpenAI’s chances best, but they need an advertising model to beat Google as an Aggregator.
Nvidia is in the valley in terms of gaming, the data center, and the omniverse; if it makes it to future heights its margins will be well-earned.
Anthropic’s belief in its own commitment to safety gives the company license to aggressively favor its business and even challenge the U.S. government.
Google A/I suggests that AI is a sustaining innovation for all of Big Tech; that means the real battle will be between incumbents and Big Tech on one side, and open source on the other.
An interview with Nvidia CEO Jensen Huang about the impact of ChatGPT, Nvidia’s new cloud service, and how Nvidia is adapting to new geopolitical and competitive realities.
AI is starting to unbundle the final part of the idea propagation value chain: idea creation and substantiation. The impacts will be far-reaching.
The Google Gemini fiasco shows that the biggest challenge for Google in AI is not business model but rather company culture; change is needed from the top down.
Google could do more than just win the chatbot war: it is the one company that could make a universal assistant. The question is if the company is willing to risk it all.
What is artificial intelligence? Is it really any different than technology? In my estimation machine learning is truly something new, and the effects on society will be significant.
Machine-learning generated content has major implications on the Metaverse, because it brings the marginal cost of production to zero.
Google presented a vision of ambient computing that goes beyond the smartphone. The company is well-placed, but faces challenges both in the marketplace and in the mirror.
The best Stratechery content from the week of October 6, 2025, including OpenAI’s Windows strategy, Sam Altman and boundless ambition, and the future of creation.
OpenAI’s developer keynote was exciting, both because AI was exciting, and because OpenAI has the potential to be a meaningful consumer tech company.
Nvidia has gone from the valley to the mountain-top in less than a year, thanks to ChatGPT and the frenzy it inspired; whether or not there is a cliff depends on developing new kinds of demand that…