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Discussion Sentiment
50% Positive
Analyzed from 186 words in the discussion.
Trending Topics
#google#sota#openai#anthropic#keep#chinese#models#llm#training#natural
Discussion Sentiment
Analyzed from 186 words in the discussion.
Trending Topics
Discussion (1 Comments)Read Original on HackerNews
I've been calling it for years. The "AI has no moat" people on HN who keep repeating that singular Google employee's essay are wrong.
Chinese near-SOTA models aren't going to be free forever. SOTA LLM training is clearly a natural monopoly or duopoly since the cost to train the next level of intelligence will keep rising rapidly to the point that many companies will bow out. The companies that can generate a vast amount of money and data from each model trained, and use those resources to create the next model, will be on a flywheel that is extremely hard to catch.
One year ago, SOTA LLM training was still a race between OpenAI, Anthropic, Google, Meta, xAI in the west. Today, it increasingly looks like it's just OpenAI and Anthropic left. The surest signal is that Google, xAI, and Meta are all looking to or are already selling compute to OpenAI and Anthropic rather than using compute for their own models. Maybe one of them might catch back up and make it a 3 horse race for a while longer but this industry is a natural duopoly or monopoly over the long term regardless.
On the Chinese side, it looks like GLM, Kimi, Deepseek, Alibaba are still alive. But they too will increasingly look to monetize and consolidate as well.