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False insinuation. It is actually Palantir using Claude AI in its "Maven Smart System" for real-time battlefield analysis which is being used by the US Militar

False insinuation. It is actually Palantir using Claude AI in its "Maven Smart System" for real-time battlefield analysis which is being used by the US Military. More details at - https://news.ycombinator.com/item?id=47275936 https://news.ycombinator.com/item?id=47275936 Also see Palantir’s Double Conflict of Interest in the War Against Iran - https://bylinetimes.com/2026/03/05/palantirs-double-conflict-of-interest-in-the-war-against-iran/ https://bylinetimes.com/2026/03/05/palantirs-double-conflict...

helsinkiandrew 8mo ago
But they did use Claude AI. Several commentators (eg Michael Burry ) have claimed that Palantir could have difficulty switching AI engines easily.
- rramadass 8mo ago
  As is pointed out in my links, they are using Palantir's solution which Palantir has built around Claude AI (including custom agents/chatbots/etc.) After Trump's tantrum with Anthropic, no doubt Palantir will be switching to OpenAI based models/agents/chatbots. From the pov of data analysis and inference, they should be comparable though Anthropic's AI predictions _might_ be better than OpenAI's (maybe the reason why Palantir chose them in the first place).
- luke-stanley 8mo ago
  Should we really buy the many months of switching difficulty argument? Surely the main API surface is a HTTP API like ChatCompletions? If it's the exact shape of Anthropic's API, the difference is surely minor. There are likely up to 2 API surfaces, that's it. If the OpenAI model APIs are more flexible (esp. with the new 1M context of GPT-5.4), then it should have little difficulty adapting. Then there is LiteLLM and similar that make it even easier, half of their tooling should be using something that abstracts like that anyway. Yes it needs evals and prompt engineering work to optimise it, but they should be used to that by now. Presumably they could even clean-room fine-tune an OpenAI model to match the same Claude shape with low loss. So I don't buy it.
  - helsinkiandrew 8mo ago
    It’s not the syntax of the API that’s the issue, it’s the behaviour and performance of the model. You can create code, images, and video with just about any model, but there’s reasons people prefer Claude Code or Sora for particular tasks

helsinkiandrew 8mo ago

But they did use Claude AI. Several commentators (eg Michael Burry ) have claimed that Palantir could have difficulty switching AI engines easily.

rramadass 8mo ago
As is pointed out in my links, they are using Palantir's solution which Palantir has built around Claude AI (including custom agents/chatbots/etc.) After Trump's tantrum with Anthropic, no doubt Palantir will be switching to OpenAI based models/agents/chatbots. From the pov of data analysis and inference, they should be comparable though Anthropic's AI predictions _might_ be better than OpenAI's (maybe the reason why Palantir chose them in the first place).
luke-stanley 8mo ago
Should we really buy the many months of switching difficulty argument? Surely the main API surface is a HTTP API like ChatCompletions? If it's the exact shape of Anthropic's API, the difference is surely minor. There are likely up to 2 API surfaces, that's it. If the OpenAI model APIs are more flexible (esp. with the new 1M context of GPT-5.4), then it should have little difficulty adapting. Then there is LiteLLM and similar that make it even easier, half of their tooling should be using something that abstracts like that anyway. Yes it needs evals and prompt engineering work to optimise it, but they should be used to that by now. Presumably they could even clean-room fine-tune an OpenAI model to match the same Claude shape with low loss. So I don't buy it.
- helsinkiandrew 8mo ago
  It’s not the syntax of the API that’s the issue, it’s the behaviour and performance of the model. You can create code, images, and video with just about any model, but there’s reasons people prefer Claude Code or Sora for particular tasks