25 4L retweeted
can you tell it's AI?
made this some months back using seedance 2.5
got the script when learning how to prompt for seedance 2.5 from an account on here
forgotten who but ty kind ser :)
i can’t remember when last i saw #WAGMI
or are we all not gonna make it? 🤣
just found the account!
@Sheldon056 is the goat. his prompts are always so fluid!
you know that feeling
when you look at your past work you used to have so much admiration for, and cringe
or when you create a video everyone swears looks good but you're not satisfied with it
congrats, your taste has officially evolved. there's no greater proof of your mental growth than that
25 4L retweeted
POV: Created this entire ad using AI. 🎬🔥
From the visuals to the storytelling, it's crazy how much you can bring to life with AI and a little creativity.
What do you think of the result? 👀
25 4L retweeted
Every video I’ve created has been my best at some point in my journey. Each one carries a piece of my heart, my growth, and the passion I have for bringing ideas to life.
When asked to share my best work, I genuinely couldn’t choose one. So I created something new, just for this opportunity.
I still have so much to learn, so much to create, and so many stories to tell.
Hoping to be part of Meteco AI Creatives.
introducing METECO AI CREATIVES 🎬
for @superteam members & all creatives
got AI experience?
let's make content worth watching
you get:
- 6 higgsfield tutorials
- AI credits
- grants for winners
to apply, QRT with your best AI video + why you want in
deadline: nov 5, 12pm ET
25 4L retweeted
If I was given creative freedom to make an actual content ad for Zenith on the AI conference
@ZenithBank
I used @KolboAI and used my voice and other Nigerian voices as reference, so it sounds like me.
Light almost stopped me from making this post at all.
this is so good
If I was given creative freedom to make an actual content ad for Zenith on the AI conference
@ZenithBank
I used @KolboAI and used my voice and other Nigerian voices as reference, so it sounds like me.
Light almost stopped me from making this post at all.
can you tell it's AI?
made this some months back using seedance 2.5
got the script when learning how to prompt for seedance 2.5 from an account on here
forgotten who but ty kind ser :)
25 4L retweeted
RWA perpetuals pulled in $413B in CEX trading volume in September alone
but this volume tells only part of the story
for RWAs to scale, the infrastructure has to be just as strong as the assets themselves: reliable pricing, deep liquidity, and seamless execution
————<(•)>————
think about what it takes to trade a traditional asset on a crypto exchange, around the clock
someone needs to keep prices reliable when the underlying market is closed
liquidity needs to be deep enough to execute without excessive slippage
the product needs to make it clear whether you’re buying an asset or trading synthetic exposure to its price
and the infrastructure needs to manage risk when those markets move
these aren’t minor details. they’re the difference between listing an RWA product and building a market people can rely on
as a trader, pay particular attention to four layers when looking for platforms to trade on:
→ market data: reliable pricing and robust oracle infrastructure
→ liquidity: tighter spreads, deeper order books and better execution
→ product design: transparent exposure, funding and liquidation mechanics
→ asset infrastructure: credible backing, clear legal rights and workable redemption
interestingly, each of these layers creates an opportunity for a different set of builders
we don’t just need more assets onchain. we need better markets around these assets
25 4L retweeted
everyone is betting on who builds the smartest AI
i’m betting on who builds the infrastructure every AI model needs to run
———<>———
we’ve spent years watching the race to build bigger, smarter models
but the next stage is about something different: making intelligence cheap enough to run everywhere
McKinsey projects inference will account for ~60% of AI demand by 2030
every AI agent, automated workflow and real-time application adds to the demand for compute
and that creates opportunities beyond GPUs:
→ memory and high-speed networking
→ specialized inference infrastructure
→ power-efficient compute
→ decentralized GPU networks competing to serve AI workloads
but i wouldn’t value a compute network by its GPU count or token incentives alone
i’d look at utilization, paying customers, cost per workload, recurring revenue and whether the token actually captures any of that value
because there’s a difference between a network that has compute and a network people are willing to pay for
the real longterm bet is on who can deliver intelligence at the lowest sustainable cost
i’m watching this infrastructure market closely.
25 4L retweeted
if $1000 is not too small for you, and you’re a trader, do this now! 👇
the rewards are real, checked them out myself
you can get up to $1,000 in futures bonus depending on how much you deposit
here’s how it works:
$100 deposit → $20 bonus
$500 deposit → $100 bonus
$1,000 deposit → $200 bonus
$2,500 deposit → $500 bonus
$10,000 deposit → $1,000 bonus
new users can also get 30 days of vip1, while the first 300 sign-ups get an additional $10 voucher
the campaign runs from october 15 to october 31 (15 days only)
if you’re already trading futures, you might as well claim the free monies before the campaign ends
join here: blofin.com/register?referral…
25 4L retweeted
if this is even remotely possible, crypto might be the least of our worries
———<~>———
there are growing concerns about whether advances in ai could eventually challenge the cryptography protecting our wallets
the claim that ecdsa could be broken within months is still speculative, but the implications are worth thinking about
if the cryptography protecting crypto ever fails, traditional finance has a problem too
banks, payment networks and digital identities rely on cryptography as well
a fundamental breakthrough could affect far more than bitcoin or ethereum
this is why i think privacy and security infrastructure deserves much more attention
the industry is racing to build with ai, but the systems protecting our assets and information need to evolve just as quickly
i believe every new technological threat creates demand for better defenses, from stronger cryptography to privacy-preserving systems and post-quantum security
ai could expose vulnerabilities, but it could also help us build better protection
the real question is whether our defenses can keep up
because if cryptographic security becomes a systemic problem, the impact won’t stop at crypto
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.
25 4L 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.


















