
Founder, Quantum Void Labs & @voidxtrade | Blofin Broker | Bybit Institutional | TXFlow | MM | Arbitrageur
void function(void)
Joined March 2024
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Best L1 & DEX I've ever used.
Competitive maker fees, cross and hedge mode, fast execution times; what more can you ask for?
app.txflow.com/r/TXQUANTUMVO…
Tyler Simpson retweeted
I started collecting data of the pools launched and all the trades related to it... and the game looks very bad for retail...
There are some interesting things like 10 wallets made 11.4% of all launches and almost never graduate (the top wallet: 2,005 launches, 1 graduation).
Tyler Simpson retweeted
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.
Tyler Simpson retweeted
VoidX is your own algorithmic trading desk.
Bots, markets, charts and vaults, all in one place.
And we're just getting started.
Tyler Simpson retweeted
日本銀行が準備している措置は、数十億の人々の生活に影響を与えるでしょう。
西側諸国の皆様、深くお詫び申し上げます。
これは個人的な問題ではありません。
神のご加護がありますように。
Tyler Simpson retweeted
The void update September 23, 2026 powered by @thepumpkintoken and @quantumvoidlabs
Tyler Simpson retweeted
The void update September 22, 2026 powered by @thepumpkintoken and @quantumvoidlabs
Tyler Simpson retweeted
The void update September 22, 2026 powered by @thepumpkintoken and @quantumvoidlabs
I was able to get more usage out of a Pro 5x plan than I got out of a Pro 20x plan with OpenAI Codex.
I will quantify this and post why and how this was the case if there is a reset given today, otherwise I must allocate what is left of my plans usage to more important tasks.
FWIW, I did NOT use Luna, it was purely Astra medium or Sol medium between both the 5x and 20x plans, with some delegation to subagents that are utilizing another provider at times.
Who does this sound like?
The strategy:
Buying a 15-second-old token and selling it four seconds later for +16% is nearly impossible against organic liquidity.
The buy pressure he sells into is manufactured:
He’s a token creator with a 3,451-wallet network. When a token launches, that network—plus the automatic wave of sniper bots attracted to every new pump dot fun token—creates immediate buying pressure.
This is verified on-chain. For “Donald J Pump,” pool forensics show his buy at T+0, followed by trades at T+13s and T+16s—the same second he begins selling.
Buyers arrive exactly when he needs exit liquidity.
He rides the manufactured pump to +10–43%, dumps 100% of his position, and exits before the token dies. These pools close roughly 14 minutes after creation; he’s usually out within the first minute.
That’s how the “profit” is made: selling his bag into buy pressure created by his own ecosystem, then amplified by real FOMO and sniper bots.
It isn’t trading skill at all.
It’s manufacturing demand, and harvesting it.
• A new token pool opens. These are fresh Token-2022 meme launches with revoked mint authority: wojakwifhat, Donald J Pump, RatGPT, deadass, ALCOHOL, deleted tweet, and others.
• He buys a fixed ~0.955 SOL—roughly $100—just 10–30 seconds after pool creation.
Verified examples:
• RatGPT: T+25s
• DPUMP: T+11s
• Wifjak: T+15s
• ALCOHOL: T+21s
• SOCCER: T+10s
The fixed position size suggests this is automated: it’s a constant, not a discretionary decision.
• He sells 100% of the position 4–60 seconds later.
• Median time to first sell: 27 seconds
• Return: +4% to +43%, with a median of +17.5% over entry
• Then he repeats the process roughly four times per minute, around the clock.
THE LADDER
This is where the largest profits are made.
When a token maintains momentum, the system switches from a single trade to repeated accumulation:
• Buys in recurring ~0.3–0.6 SOL chunks as the price rises
• Executes as many as 151 buys on one token
• Ladder-dumps the entire position through a rapid sequence of sells—as many as 91
• Exits at approximately 1.15–1.43× the average entry
Examples from one day:
• HTDtfcQ: 62 buys → 27 sells → +11.6 SOL at 1.43×
• GjFBq: 151 buys → 91 sells → +10.7 SOL
• 2yFQgp: 125 buys → 62 sells → +9.9 SOL
• 8C1VrZ2: 33 buys → 21 sells → +6.6 SOL
The entire cycle still finishes within one to five minutes.
The result: the system farms roughly 15–40% from a token’s brief pump through repeated accumulation and distribution.
There was one exception during the entire day:
• CUEKkQr: held for 13.8 hours
• 4.96 SOL in → 5.68 SOL out
• +14%
THE BAG BOOK
This is separate from the active trade book—and it’s where the losses live.
He holds roughly 108 token positions at any given time. Some appear to be deliberate holds; others are effectively trapped or worthless.
Examples:
• “sus”: a real, approximately $26,800 position in an active pool, with another 4.73 SOL added that day
• A nominal $53,000 “position” sitting in a pool with only $2,100 of liquidity—making that valuation practically unrealizable
• Several dead tokens with no active trading pair
The active trade book produces the near-perfect win rate.
The bag book hides the stranded capital, unsellable positions, and actual losses.












