The post Anthropic’s Claude Opus 4.6 Completes Months of Scientific Coding in Days appeared on BitcoinEthereumNews.com.

Rongchai Wang
Mar 23, 2026 20:27

Anthropic demonstrates multi-day autonomous AI workflows where Claude compressed months of physics research coding into a few days with minimal human oversight.

Anthropic just showed what happens when you let an AI work unsupervised for days on end. Their Claude Opus 4.6 model built a complex cosmological physics solver from scratch—work that typically takes researchers months or years—in a matter of days. The $380 billion AI company published research on March 23 detailing how their latest model tackled implementing a differentiable Boltzmann solver, which predicts statistical properties of the Cosmic Microwave Background by simulating photons, baryons, neutrinos, and dark matter in the early universe. The kicker? The researcher overseeing the project, Siddharth Mishra-Sharma, admits it wasn’t even his core domain. The Setup That Made It Work Forget the typical AI chat loop where humans babysit every step. This approach sets Claude loose with clear success criteria and lets it run autonomously across multiple sessions. The model achieved sub-percent accuracy against CLASS, a reference implementation that cosmologists consider the gold standard. Three components proved essential. First, a progress file (CHANGELOG.md) acts as the agent’s long-term memory between sessions, tracking completed tasks, failed approaches, and why they didn’t work. Without recording dead ends, successive sessions waste time re-attempting the same mistakes. Second, a test oracle—in this case, the CLASS C source code—gives the agent an objective way to measure progress. Claude continuously ran unit tests against this reference, aiming for that 0.1% accuracy target. Third, git commits after every meaningful unit of work create recoverable history. If compute allocation runs out mid-session, nothing gets lost. Mishra-Sharma monitored progress by checking GitHub on his phone while waiting in line for coffee. The Ralph Loop Problem Current models suffer from…

---

Filed under: News - @ March 24, 2026 4:15 am