Elon Musk's Grok 3.5 AI focuses on finding the fundamentals of physics and applying those tools across all lines of reasoning, aiming for truth with minimal error, which is crucial for AI safety.

I think a reasoning model trained around physics would do what Elon is describing, and I salute him for leading the way in areas like Grok language models that allow interaction in ways big companies never would.

The tools of physics are incredibly helpful for understanding and making progress in any field. First principles mean breaking things down to the fundamental elements that are most likely to be true and reasoning up from there as cogently as possible.

I apply first principles reasoning to boil things down to their fundamental truths and reason up from there, rather than reasoning by analogy.

We're excited to continue developing deep research, improving its reliability, and integrating it into our main reasoning models.

I don't think we're in a straightforward simulation, but I do believe that underlying physics is rooted in information theory.

With Foundry, you can provision throughput once and use it across multiple models, including Grok, which changes how we think about model provisioning.

The release of model 03 represents a significant advancement in reasoning capabilities, allowing it to solve complex physics problems more effectively than previous versions.

While coding is a primary focus, we see a transfer of skills from coding models to enhancing reasoning and agentic behavior in other applications.