Marcus 🦇 retweeted
this is getting f*cking dangerous: Claude Code agents can turn a stack of research papers into a lab u can run right in ur browser
i made $3,650 overnight with this approach
Boris Cherny, the creator of Claude Code, gave a dozen agents 64 research papers and asked them to build a platform where anyone could reproduce the physics experiments themselves
u open a fluid simulation, change the conditions and immediately see how the flow changes
while the experiment is running, u can switch algorithms, open the formulas and inspect the code calculating what happens on screen
so u take a complicated paper sitting in ur “i’ll read this someday” folder and get something u can actually play with
each agent got its own job:
→ analysts extract formulas, assumptions and experimental conditions from the papers
→ developers turn them into working models
→ reviewers compare the results against the original research
→ separate agents build controls for each scene
and this is where it gets interesting
the fluid can look beautiful while the calculations underneath are completely broken. u might never notice just by watching
so reviewers check whether mass is conserved, whether changing parameters breaks the calculations and whether the results match the paper’s data
next to each experiment, u can see:
what’s being tested
which values are being used
how far the result differs from the original
what still needs checking
the write-up describes 11 approaches and 28 test scenes. seven approaches passed within acceptable tolerances, while four needed more work
i borrowed this way of organizing the work for my FOMOBILL: breaking down how memecoin buys and sells work so i can check what wallets did after entering, before making my own trade
the physicists have the original paper. i have the original transaction i can open and verify
if u wanna try this approach, upload ur materials to Claude Code and give it this task:
“Turn these materials into an interactive tool:
1. Extract the algorithms, rules and testing parameters. Cite the sources and flag missing details
2. Assign separate parts to independent agents. Use the same input data for comparisons
3. Set up independent checks of the results. Log errors and visibly label anything unverified
4. Build an interface where users can change parameters, compare results and inspect the source code”
start with one document and one testable example. scaling the team is easier once the first result can be reproduced
save the dependencies and source data so someone else can run the project too
my overnight result was paper trading; execution and results can differ with real money
lyrics breaks down the full approach and how im applying it in FOMOBILL in the article below ↓






















