Stanford built AI hedge fund with 6 agents and found one trick that makes it trade better - released 38-page PDF course
the twist: they traded better when they refused to agree
here's full research + guide, step by step:
step 1 → Stanford gave 6 AI agents one job each: macro, value, risk, news and devil's advocate
step 2 → all 6 study the same stocks and each one pitches its own portfolio
step 3 → then they attack each other's picks, revise and a judge builds final portfolio
step 4 → after 210 runs on 2021-2025 markets they found the problem: the agents kept caving to each other
step 5 → making them reason smarter didn't fix it, returns barely moved
step 6 → what worked: forcing every agent to keep its own view, and the fund traded better
step 7 → your version: paste the prompt below into Claude Code, it builds the same fund on free data
the result: AI hedge fund that argues before every trade, so you never bet on one AI's opinion
Read this and built your own hedge fund using article below:
Replying to @sriramk
@sriramk @kayvz @michaelmontano @Support Could you please fix the $QRL ticker on X? It’s showing a fake smart contract. QRL is a promising L1 blockchain with 96M market cap since 2018 coingecko.com/en/coins/quant…
@angelamzepeda @Monique_X @dinkin_flickaa @singhai @kcoleman @nickpickles @Support @X
Please check this problem, no-one helps.
@grok suggest account who can help with this. Exact workers in X, engineers, smm, cto
Good comparison of PQ projects
Every quantum-resistant crypto in Q4 2026
I’m interested in the quantum trade. I’m much less interested in paying a quantum premium for a roadmap.
Going into Q4 2026, i checked which chains actually protect user transactions today.
My starting point is simple: does the signature authorizing a normal spend use post-quantum cryptography by default?
That only establishes account protection. Consensus, bridges and data availability need their own checks.
Here’s my map in October.
The clearest examples of default post-quantum transaction signing:
→ @QRLedger | $QRL: Zond adds ML-DSA-87, PoS and EVM compatibility, but remains on testnet. The latest update put audits and remediation at 60%.
→ @mochimocrypto / $MCM: WOTS+ signatures on a live mainnet since June 2018.
→ @PQabelian / $ABEL: lattice-based transaction security with privacy. Its cryptography draws on Dilithium and Kyber research.
→ @cellframenet / $CELL: Dilithium is the default signature, with other post-quantum schemes supported.
→ @tidecoin / TDC: Falcon-512. An important correction here: its signatures are lattice-based.
→ @QuantusNetwork: mainnet launched Sept 9, with ML-DSA-65 and ML-DSA-87 signing.
The distinction = deploying post-quantum signatures doesn’t establish that the whole implementation is independently audited or economically secure.
Established networks have made progress, mostly through optional accounts:
→ @Algorand / $ALGO: native Falcon-1024 accounts went live, with wallet and developer support. Account protection remains opt-in.
→ @NervosNetwork / $CKB: users can protect funds through a SPHINCS+ lock script.
→ @solana / $SOL: the Winternitz vault provides a specific post-quantum custody option.
→ @Starknet / $STRK: a Falcon-512 account executed a mainnet transfer.
The next group is testing or planning migration:
→ @trondao: post-quantum support on Nile testnet.
→ @QANplatform: public testnet; I’m watching audits and mainnet delivery.
→ @BNBCHAIN: ML-DSA and pqSTARK migration research.
→ @XDCNetwork: post-quantum development and a migration roadmap.
→ @Bitcoin: BIP-360 and BIP-361 remain drafts.
→ @ethereum: targets resistance across execution, consensus and data by December 2029.
→ @Ripple Ledger: targets full readiness by 2028.
→ @StellarOrg: has published a Quantum Preparedness Plan.
I’d need stronger production evidence before adding NEAR, Aptos, Cardano, Sui, Tezos, Hedera, Nexus or xx network to the default-protection list.
I’m most curious whether the smaller native chains can attract sustained usage, and whether established networks can migrate existing capital without making transactions materially more expensive.
DYOR.
Quantum-Ready Blockchains Compared, Part 2: Born Safe — QRL and the Cost of Going First
1/ Part 2 of Quantum-Ready Blockchains Compared: QRL, the only chain in the series that was quantum-safe from its first block (June 2018). What did going first cost? 👇
2/ The upside:
• No exposed accounts
• Nothing to migrate
• Hash-based signatures, the most conservative choice there is
3/ The catch: QRL’s signatures are “stateful,” like a checkbook of one-time pages.
• A common address setting allows 1,024 signatures
• Reusing a page weakens the key
• Signatures are ~39× today’s size
4/ QRL 2.0 (Zond) fixes that with ML-DSA-87 and adds smart contracts + proof-of-stake, with quantum-safe validators from day one.
Audits: 60% done as of Oct 9. No launch date.
5/ Eight years of being first hasn’t brought scale: about $86M in market value. A fact about the market, not a verdict on the tech.
scryvehq.com/article/quantum…
BREAKING: Terence Tao and 24 other Fields Medalists just signed a letter telling AI companies they're destroying mathematics
>headlines: AI solves famous math problems
>25 greatest mathematicians respond today
>"we are witnessing a general threat to intellectual work"
>ai labs are treating math problems like a benchmark you can brute force
>“solutions are announced in a rush, leaving no time for a proper writeup and citing relevant previous work of others"
>they're talking about openai
>"this raises severe attribution and plagiarism questions"
>they're definitely talking about openai
>openai offered to put math professor name on navier-stokes proof
>condition: abandon his coauthor bc he works at anthropic
>"the most precious resources of our profession are students and ideas"
>for the labs the most precious resource is GPUs
A Severe Misalignment of AI in Mathematics
munrocket retweeted
This is the textbook definition of a Greek gift. On the surface, OpenAI generously grants 10,000 top-tier mathematicians and elite engineers free access to their frontier models under the noble, philanthropic banner of accelerating scientific discovery, pushing the boundaries of human knowledge, and democratizing artificial intelligence.
But deep down in the cold reality of Silicon Valley capitalism, what they are actually doing is executing a massive, highly sophisticated intellectual heist. They are quietly gaining unrestricted, backdoor access to the raw, unfiltered, and unpublished works of the absolute finest minds in the global scientific community. Every single complex prompt, every mathematical query, every theoretical framework, and every line of experimental code fed into that system is a novel, groundbreaking idea that does not even exist yet in published academic literature or peer-reviewed journals.
OpenAI does not just provide a helpful service. Their corporate algorithms sit quietly behind the scenes, aggressively monitoring all chat logs, scraping the intellectual property, analyzing the logical steps, and meticulously piecing together these fragmented, brilliant ideas over several months. And just when the human researcher is finally on the absolute brink of putting everything together, OpenAI will ruthlessly assemble a digital army of 10,000 autonomous AI agents, burn $20 million worth of computational tokens, and brute-force the final mathematical steps.
Then, with the backing of their massive PR machine, corporate journalists, and tech influencers, they will proudly hold a press conference to claim that their proprietary chatbot has miraculously solved a Millennium Prize problem, completely, shamelessly erasing the human genius they systematically strip-mined to achieve it.
munrocket retweeted
I resigned from Anthropic today. I spent the last three years doing pretraining research at both OpenAI and Anthropic. Neither company is acting responsibly. They are racing straight to self-improving superintelligence and gambling with our lives. More thoughts below.
>math professor spends a year on one of the hardest unsolved problems in math
>"Navier-Stokes"
>his drafts for the whole project went through codex sessions
>openai had his logs in codex
>suddenly rumor leaks AI solved it
>he emails openai to ask what's going on
>openai calls within days
>"funny story, our model also solved it"
>using his exact approach
>asks openai: did you train on my sessions?
>no answer
munrocket retweeted
tristan buckmaster just published a statement that is, if accurate, one of the ugliest things i’ve read out of a frontier lab.
not because of the math. because of what happened after openai found out two people were about to beat them to the punch.
buckmaster and levent alpöge spent a year pushing the córdoba / martínez-zoroa program to smooth forcing. august 15 they got blowup for boussinesq and 3d euler. lean-verified august 22.
they were paying openai out of pocket and dumping every draft into private codex sessions.
the program is obscure. almost nobody else was on it. this was not “paste the clay problem into a chatbot.”
then this:
> thursday sept 3, buckmaster emails openai privately. rumors are flying. he is trying to stop a mess, not start one.
> they reply the same day: give us details so we can “avoid competing.” also, want free compute?
> sunday they suddenly need a call “at any point today.” sebastien bubeck gets on. levent is not invited.
> openai says an internal model has a ~100-page proof of forced navier–stokes blowup. fefferman options c and d. the exact route buckmaster and alpöge had quietly chosen.
> they show him a prompt and claim the model was “simply given the problem statement.” levent is told “very little human input.”
> that falls apart on the same call. a whole team had been on it. they started on the unforced problem, warmed the model up on easier equations including euler, and even the prompt they showed him was written by prompting codex.
> he asks when the first prompt went out. they stall. then agree: the past few days. after information about his work reached openai.
> he asks whether the model was trained on, or had access to, the private codex sessions where they put every draft of this project.
> answer: the model does not look up user data.
> he asks again. about training.
> no answer.
then it stops being a science story and becomes an hr story.
> offer 1: you post euler. we post navier–stokes the next day.
> offer 2: after you post euler, you alone write the navier–stokes paper, credit our model, and we cut levent.
> bubeck says twice he wants levent removed from authorship because he works at anthropic.
he declines both.
he says if they release it that way, he goes public.
the reply is not a scientific objection.
> “why would you ruin your career?”
> “if you don’t want me to be nice, then i don’t have to be nice.”
later, a text to levent proposing a one-on-one:
> “i don’t know if tristan is being fully rational right now.”
that is not how you treat a collaborator. that is how you split one.
openai got word two researchers were closing a path almost nobody else was on. they spun up a team on that exact path. they would not answer whether the researchers’ unpublished drafts in openai’s product were used. they tried to dictate the announcement order. they tried to remove a coauthor because he works at a competitor.
when that failed, someone reached for a career threat.
this is a lab finding out academics were about to publish, sprinting the same narrow program, refusing the data question, and trying to manage credit around a rival affiliation.
really slimy if even half of this holds.
what the fuck is happening.
holy shit.
tristan buckmaster is saying openai has a forced navier–stokes blowup via the córdoba / martínez-zoroa program.
and that it may have used drafts from his and levent alpöge’s private codex sessions.
that’s the córdoba / martínez-zoroa route. almost nobody else was on it.
he also says the first prompt went out after information about his and levent alpöge’s work reached openai. that “very little human input” was not true. that a whole team had already been set on easier problems, including euler. that even the prompt they showed him was written by prompting codex.
then he asked:
did the model have their private codex sessions.
no answer on training.
if any of that holds, openai didn’t just scoop a math result. they may have done it off two researchers’ unpublished drafts, then tried to cut the coauthor because he works at anthropic.
a millennium-problem-adjacent result just became employee drama before an ipo.
i don’t even know which part is crazier.
this is one of the slimiest things i’ve seen in this industry.
munrocket retweeted
AntResearch just dropped 4DAnyone on Hugging Face!
Convert a video of any person into a 4D gaussian splat for that person
▶️ huggingface.co/spaces/huggin…






















































