munrocket retweeted
A billionaire sat in a room for 42 minutes and listed every psychological trick that makes people lose money. for free. the finance industry has spent thirty years pretending this recording does not exist.
he didn't sell a course. he didn't write a newsletter. he sat in a chair at 96 years old and explained why brilliant people do the dumbest things with their money. then he explained why they will keep doing it.
MBA programs charge $200,000 to teach behavioral finance. he covered 25 biases in one sitting. some of them are still not in any curriculum. he gave the entire framework away on camera.
the part nobody talks about: he called crypto antisocial. he said index funds will crush most managers. he said private equity is full of wretched excess. he said all of this in a room full of people who manage money for a living. nobody argued.
a hedge fund analyst at a top firm told me this is the first thing they send to anyone who joins the desk. not a book. not a model. a 42-minute video of a 96-year-old man explaining why you will be wrong and how to recognize it before it costs you everything.
40 million people have heard his name. almost none of them have watched him explain the 25 ways their own brain is working against them.
the lecture is free. he died the following year. it is in the video.
munrocket retweeted
Wow, turns out the $6 billion Binance hack was caused by a Binance developer clicking a malicious Google ad!
I maintain my position: it's more important than ever to hold Google liable for platforming scams and turning a blind eye.
Google was complicit in the Binance hack.
One of my more controversial views is that Google should absolutely be held liable for this. They are absolutely complicit in mass scale fraud.
The first thing that comes up is the phishing website! Both phishing and promoting phishing links this prominently should be illegal.
It's so easy for Google to filter, too! It's instantly obvious to any bot or human that it's a scammer paying for that top spot. Google turns a blind eye because of ad revenue. It's obvious that the only top result on there should be Trezor or a genuine competitor paying for the spot, not a Google Sites phishing link impersonating Trezor.
Google intentionally turns a blind eye so they can keep printing massive ad revenues from this. Which makes them complicit in the scam and they should be held liable for every scam that happens through this method.
munrocket retweeted
Replying to @elonmusk
@elonmusk Could quantum resistance become the next big narrative in crypto?
Here’s why I’m paying attention to it. 👇
Two developments are worth watching together: IonQ’s hardware roadmap and the ECDSA.fail challenge.
IonQ targets:
• 800 logical qubits in 2027
• 1,600 in 2028
• 8,000 in 2029
• 80,000 in 2030
Meanwhile, ECDSA.fail participants are optimizing quantum circuits for elliptic-curve arithmetic used in attacks on the signatures protecting Bitcoin and other cryptocurrencies.
The latest frontier advance shown on ECDSA.fail, dated 3 November, comes from @odin_free using GPT-6 Astra:
• 821 qubits
• 2,932,755 Toffoli gates
These figures cover point addition, one component of a quantum attack, rather than a complete ECDSA break.
The combination deserves attention: hardware developers are working to increase quantum capabilities while researchers work to reduce the resources attacks would require.
It feels like the gap is narrowing fast.
#QuantumComputing #PostQuantum $IONQ $QRL
munrocket retweeted
币安刚刚发布了初步调查报告,梳理了他们是如何被朝鲜黑客,盗取了 60 多亿美金。
某位币安软件工程师,在求职网站上挂着简历,结果一位自称项目总监的人,主动联系他,说有个潜在岗位想聊聊。
对方安排了一位 HR 跟他视频面试,真人露脸。为了让他放下戒心,这位 HR 还把自己的社交账号发给了他,上面有他本人的生活照和视频,看着就像真实存在的人。
然后到了第二轮面试,对方换到一个常用的聊天软件上,跟一位自称是这家公司 CEO 的人聊,但其实公司是假的。
等面试快结束时,对方让他下载一份代码题,作为技术测试,结果这位币安员工,在工作电脑上下载运行了它。
这份代码,在安装环节偷偷自动执行,把电脑上一个正常的开发工具 pyenv,换成了带木马的版本,然后跟黑客的服务器连上,还会自己清理痕迹。
就连币安当时的杀毒软件,也没查出来。
从这台电脑开始,朝鲜黑客一步步渗透内部,摸进了交易所的钱包系统,一个多月后币安被盗了 60 多亿美金。
关键是现在领英上,还有一群币安在职员工的信息,这些估计都是朝鲜黑客的潜在欺诈对象。
munrocket retweeted
If I had $1M in crypto now, I would:
1. Be full-time crypto
2. Move to a city where cost of living is not too expensive
3. No memecoins, no leverage. Ever.
4. Allocate $500k stablecoins in DeFi at 5-7% to cover my expenses that I NEVER touch
5. Allocate $250k to farm @tradexyz: volume is still low and upside looks big to me as on-chain tradfi is just emerging
6. Allocate $50k into a sybil farm with 200-500 wallets and forcing myself to spend 2h/day doing things + automating + hunting new opportunities
7. Keep 200k USDC/USDT on Aave ready to ape good coins such as $HYPE or $PUMP during bloody days when people are being liquidated
The goal: survive long enough to catch asymmetric bets while never worrying about paying bills.
munrocket retweeted
The real next 10x super-cycle has already switched lanes:
Wave 1 (Humanoid Robots):
$TSLA, $SYM, $SERV, $FIG, $RBLX
Wave 2 (Solid-State Battery Boom):
$QS, $SLDP, $ENVX, $MVST, $FREY
Wave 3 (Nuclear Renaissance):
$SMR, $OKLO, $CEG, $VST, $BWXT
Wave 4 (Quantum Computing Reality):
$IONQ, $RGTI, $QBTS, $QUBT, $ARQQ
Wave 5 (Low-Altitude eVTOL):
$JOBY, $ACHR, $LILM, $EH, $EVTL
Wave 6 (Space Internet):**
$ASTS, $RKLB, $LUNR, $PL, $BKSY
Wave 7 (Gene Editing Revolution):
$CRSP, $NTLA, $BEAM, $EDIT, $SANA
Wave 8 (AI Application Endgame):
$PLTR, $SOUN, $AI, $PATH, $UPST
Getting into these eight waves now is 100x more comfortable than chasing the second half of $NVDA.
Bookmark this for later validation!
(lf this helps you, like + follow + share.)
I’ve accumulated close to 0.5% of the entire $QRL supply, currently trading at around a $120M fdv
They’ve spent the last 8 years building around the exact class of risk Justin is warning about
I think this is one of the more interesting asymmetric bets and is worth a gamble for the long term from this level
If there’s even a small chance that AI driven mathematical breakthroughs could compromise cryptographic assumptions we’ve relied on for decades, imagine what happens the moment a credible breakthrough puts ECDSA security into question
$QRL is my pick. Funny enough similar alternatives like $CKB, $ALGO, $QANX and $MCM have barely reacted from this latest wave of breakthroughs
QRL seems to be the one actually benefiting
Do not bid this if you’re not looking to hodl
This is a conviction gamble
Today I call upon the blockchain industry to calmly begin planning for "bunker mode". My personal recommendation is to set in motion a controlled mass migration of assets to fresh addresses, i.e. addresses whose pubkeys remain hidden behind a hash.
Holders, starting with large and sophisticated ones, should consider moving the bulk of their funds to addresses that have never signed a transaction. And when they do sign one, they should also move remaining funds to a new address (possibly generated from the same seed phrase).
Don't rush. While I believe there is cause for action a rushed migration would do more harm than good. Don't panic either. Moving assets to protected addresses is a simple, preventative step which does not require new cryptography or new wallets.
IMO it is now reasonable to brace for the possibility that ECDSA breaks before qday, in the worst case in months not years. By "break" I mean fast private key recovery (e.g. in one week) on available hardware (e.g. a large GPU cluster).
Recent days have been humbling for human mathematical intuition. Long-held, unquestioned hypotheses have fallen. This includes the n log(n) bound for integer multiplication and the 3SUM conjecture. In hindsight, May's unexpected disproof of the Erdős unit distance conjecture was our warning shot.
Yesterday's OpenAI drop made it clear that mathematical superintelligence is upon us. They say there are weeks where decades happen. We are about to live through weeks where centuries of mathematical progress happen. Could our magic 64-byte ECDSA signatures be too good to be true? Was it just security through obscurity all this time?
Elliptic curves feel especially vulnerable to superintelligence. Curves carry rich structure, with room for fancy tricks like Schoof, Frobenius, pairings. (By contrast, hashes are designed to minimise algebraic structure.)
Separately, as Ewin Tang can attest, an efficient quantum algorithm sometimes foreshadows an efficient classical one. We should be open to the possibility of a classical counterpart to Shor that breaks elliptic curves and RSA at once.
Also noteworthy is the striking under-representation of cryptographic breakthroughs among the 722 mathematical results OpenAI published. I've witnessed first-hand the US government censoring academic quantum cryptanalysis results. Backroom interventionism is my base case.
I urge large, sophisticated actors to lead by example. Project11's "risq list" (bitcoin-risq-list.projecteleven[.]com) is a great tracker of exposed BTC pubkeys. Binance, Bitbank, Robinhood, Bitfinex, and Tether have an opportunity to harden their cold storage. Next month I'll address institutions in London in a live Q&A (forum.ethereuminstitutional[.]org/london-2026).
Again, please do not rush. Wallets holding under 50 BTC enjoy partial cover from "Satoshi's shield", i.e. his 20K exposed addresses that hold 50 BTC each. Load-bearing signers like oracles and L2 security councils should consider rotating ECDSA pubkeys with every signed message and/or multi-signing with a hash-based schemes like SPHINCS.
Exiting bunker mode safely will require post-AI cryptography. My inclination is to go all-in on hash-based cryptography and avoid structured mathematical assumptions entirely, whether from curves, lattices, or isogenies. A single battle-tested hash (e.g. from the SHA or BLAKE families) yields plausible post-AI security.
The Ethereum roadmap on strawmap[.]org fully embraces hash-based cryptography with end-to-end formal verification as a response to the quantum threat. Those timelines must now be revisited and accelerated in light of mathematical superintelligence. I'll be pushing for maximum defensive acceleration.
munrocket retweeted
Is it possible to make 3D Gaussian Splatting even faster?
Short answer YES!
Enjoy a 10.5x optimization on forward/backward cuda kernels over the published 3DGS ones!
grgkopanas.github.io/3dgs_cu…
munrocket retweeted
fertility rates are so abstract that people struggle to understand the scale of the catastrophe we’re experiencing.
take 1.14 children per woman (italy and japan)
if that continues, each generation is roughly half the size of the one before it
start with 100 people in a generation, the next only has about 54, then 29, then 16.
in three generations, roughly a century, you have a generation 84% smaller than the one you started with.
for taiwan that would be 97.4%!
i don't think people really understand what that means
Ken Griffin, who runs Citadel, just admitted that the biggest advantage of giant funds, armies of people and billion-dollar budgets, is disappearing
And for the first time in history, a small team with AI can move faster than a hedge fund
He’s seen it in his own firm. His AI agent does in 2-3 hours what used to take Citadel’s PhD researchers 6-8 weeks
A fund runs one cycle: come up with a strategy, turn it into code, test it on history, deploy it to the market
Every step used to cost separate people and years of training. Now AI does the whole cycle
You describe an idea in words, it writes the strategy itself, runs it on years of real data, and if it’s alive, deploys it straight to a broker
But the speed isn’t the point. The point is what the retail trader doesn’t understand
You take a strategy with a beautiful chart and you believe it. But a beautiful chart is no proof
Run enough versions and a profitable curve will appear even on random numbers. One just got lucky, and you decided you found gold
Funds don’t trust any curve until they test it on data the strategy has never seen. There the fit falls apart, and a real edge survives
I ran two of the most-cited quant papers through this cycle
Time Series Momentum on Bitcoin: +1,537%. Alive
Betting Against Beta, a classic from every textbook: minus 7.78% a year while the market rose 14.86%. A corpse
One still prints money, the other died long ago. And trading blind, you’d never know which is which until it took your deposit
Griffin says the future belongs to small teams with AI. But the only ones who win are the ones who test before they bet
How to plug your AI into real market data so it runs this exact test instead of guessing, in the article below
munrocket retweeted
站在今天看,俄罗斯这波操作,属于手握着一把天胡的牌打得稀烂。
如果不出兵乌克兰,今天全球AI的牌桌上,除了中美,大概率真得坐着一个俄罗斯。
搞AI、跑大模型,底层逻辑就是“吃电、散热、堆机器”。这两年全世界的数据中心老板都在为电费和机房降温发愁。俄罗斯属于老天爷喂到饭:西伯利亚开窗就是纯天然顶级空调;境内水电、核电、天然气很便宜,当年挖矿的都选西伯利亚。
另外俄罗斯人的数学和算法也强,各大国际编程竞赛,Kaggle机器学习竞赛常被俄国人屠榜。全世界除了中美,俄罗斯也搞出了自己完整的互联网生态:搜东西有Yandex,社交有VK,还有Telegram。现在在美股被炒上天的算力黑马Nebius,核心班底就是原先Yandex那帮俄罗斯人。
如果疫情后俄罗斯出地皮、出冷气、出便宜电,再拉着中国这种基建狂魔帮忙拉高压电网、建厂房、铺光纤,欧美资本开服务器工厂。俄国人完全可以成为欧亚大陆最大的“超级算力工厂”,中美神仙打架,它在中间两头收过路费。
结果呢?普京一拍大腿:不行,我得去抢那几块地。
普京的脑子,彻底停留在了19世纪沙皇俄国那种“开疆拓土”的旧梦里。什么有没有出海口啊,有没有所谓的军事缓冲带啊,就算抢方法也多的是,这可这是21世纪啊!现在的世界霸权争夺,抢的是半导体供应链,抢的是先进算法,抢的是高精尖人才。你去顿巴斯抢了几片烂泥地、几座废弃钢铁厂,代价却是把整个国家的未来都押了上去。
枪声一响,一切全崩了。稍微有点本事的程序员、算法工程师,连夜跑路。Yandex核心技术团队,宁可巨亏,惨烈的断尾求生、割裂母国,也要跑到欧洲重组成Nebius。普京把最懂未来的人,全逼成了难民和海外创业者。
在人工智能技术爆发的黎明前夜,全世界都在疯狂狂飙算力、抢占新工业革命的门票;而俄罗斯的老大,却带着几十万人,在泥潭里打着一百年前的一战式堑壕战。
再说一遍,普京不行,国内崇拜普京的那帮人也不行
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:
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

















































