Maxwell: A new kind of model that sits between code and hardware

DoubleAI, founded by Gal, launched early access for Maxwell, a "Code Execution Model" that the company says optimizes running programs dynamically using traces, profiling data and live data flow without modifying source code. Maxwell is positioned between code and hardware, adapting to the hardware, other running workloads and input patterns; doubleAI argues this removes the need to re-optimize code for each use case, citing LLM inference engines such as vLLM as an example. Early access is available at heymaxwell.ai.

Hi HN, I'm Gal from doubleAI. We've built Maxwell, a new kind of frontier model we call a Code Execution Model. It sits between your code and the hardware. No humans in the loop Maxwell makes the code run faster as it runs, without ever changing a single line. Maxwell sees programs from the inside: traces, profiling information, and the data flowing through them. It adapts dynamically to the environment, including the hardware, what else is running, and what the inputs look like. Code execution models change the way we approach coding. Today, Claude/Codex and humans keep re-optimising code for every different use-case hardware and data flow think of LLM inference engines, like vLLM . Our bet is that this is unnecessary, suboptimal, and that it does not scale. Instead, we think the right answer is to make code a living, thinking, thing. Early access is open at heymaxwell.ai. Happy to answer questions here. Comments URL: https://news.ycombinator.com/item?id=50152466 https://news.ycombinator.com/item?id=50152466 Points: 13 Comments: 7