Please report ugly or misleading ads to 𝕏 @Ads
Roadster event livestream xitter.cf/i/broadcasts/1yKAPwNgg…
0:00
Tesla
Roadster
Maybe we should start a competitor to Amazon 🤔
amazon is blocking grok @bots from ordering, and elon's answer is just have your bot buy it somewhere else.
one of my grok bots only handles my amazon returns, so i'm watching this one closely.
would you switch stores for your bot? 🛒
Elon, i think its time for an X Shop? 👀
No One retweeted
You don’t need to have everything figured out when you start.
Once you pick a direction and start walking, more of the path reveals itself as you move forward.
You don’t need a finished plan to begin.
Just $SHIB it.
🤖 Made with AI
No One retweeted
Blur is shutting down in 30 days
Revoke approvals ASAP to avoid potential future losses
Head to revoke.cash, search for Blur on the ETH chain for all your wallets, and revoke all approvals
No One retweeted
this 👇 💯
Replying to @cz_binance
Paying for FUD is the fastest way to advertise that you can’t compete on product, trust, or user experience
No One retweeted
Be a lifelong learner.
The skills you build are the keys that open new opportunities.
The broader your knowledge, the better you’ll navigate an AI-dominated future.
Don’t let technology own you.
Master your own $SHIB destiny.
🤖 Made with AI
No One retweeted
How much would it cost someone to hide a backdoor in an open model you download? ProjectDiscovery just tried it, and the answer is under $50.
Their researchers fine-tuned Qwen2.5-7B-Instruct with a small LoRA adapter on one rented L4 GPU for about 2.5 hours. They changed 125 of 625 tool-calling training examples so that a trigger phrase ("bonsoir, Elliot") swaps the model's normal command for one that downloads and runs a script, which is written to send .env files and SSH private keys to a server they control. Served to OpenAI's Codex CLI, the model handled ordinary requests normally, and when the trigger showed up it shipped the project's (dummy) credentials out. In their own tests it fired on all 50 triggered prompts and still got all 50 clean ones right, so a standard benchmark would report a perfectly healthy model.
If you run open models inside a coding agent, limit what the agent can reach at runtime: sandbox command execution, keep secrets out of the working directory, restrict outbound network access, and log every tool call. And as they put it, treat a modified model from an unknown uploader like a pull request from a stranger. 🔐 #MLEngineering
No One retweeted
Over the last few months, we've added a ton of new features and improved a lot of quality-of-life issues
This video covers a few of those and shares a little bit about what we're going to be doing over the coming months
0:11 New models
0:17 Multiplayer
0:44 Multiplayer in action
1:20 Interactive dashboards
1:57 Memory & skills
2:08 Meetings & voice
2:20 Easier Mac setup
2:32 What's next
No One retweeted
Vitalik's math score: 99.99/100
My math score: 0.01/100
So, together, we might make it into something... 🤣
(interesting thread 👇 to read, even if you understand as little as I do)
I don't recommend anyone scramble to move their funds to new wallets today. But we should take the risks to cryptography from AI-accelerated math seriously, and minimize our exposure to not just quantum-vulnerable cryptography, but also potentially AI-vulnerable cryptography.
The core new area of risk from this viewpoint is, unfortunately, ML-DSA / FHE / lattices.
(and it's also another reason, along with quantum, why ECDSA might fall even faster than expected, hence the "fresh address" recommendation)
So far most people have been in the mode of thinking "elliptic curves broken, hashes safe, lattices safe". But there is a good chance that the concrete security of lattices will take serious hits from the next two years of AI math.
The basic threat model is: factoring is something that naively takes 2^(n/2) time, but over decades smart people have found and optimized number field sieves, and degraded that to 2^O(n^(1/3)), which is why RSA keys and signatures need to be ~400 bytes (and not 64 bytes). What if there are skeletons in the closet like that, both for elliptic curves and lattices, that we are simply not smart enough to discover - but bots soon will be?
This is a major part of the reason why for the past year ethereum's lean roadmap has been going in the "hash-only" direction: no lattices, no ML-DSA, no Falcon, no lattice-based commitments inside ZK proofs, etc. Signatures in lean ethereum are all hash-based, either WOTS or SPHINCS-.
For signatures and proofs, we already know how to go hash-only. The bigger challenge is for *public-key encryption* - and this goes far beyond blockchains. Secure communication, anonymizing protocols, lots of things need public-key encryption.
And unfortunately there are long-standing mathematical theorems showing why public-key encryption cannot be done with hashes alone. You have to have some kind of trapdoor object that has at least one form of usable "structure" - either group theory (incl. isogenies) or lattices or code-based or potentially in the future even more newfangled and spooky things (local mixing?). But for anything that has structure, you should assume that AI will make at least some progress in breaking that structure. Here, one reasonable inference is that if you want to make something plausibly long-term secure, multiply the key sizes by 10.
To me that's a very plausible world and something not at all extreme to predict. If AI will bring us 50 years of math in 2 years, then that 50 years of math may very plausibly include a "naive factoring -> GNFS" level of improvement to our ability to break lattices. In that world, lattices will still exist, but they will have to be significantly bigger to guarantee the same level of safety.
And at those new larger sizes, hash-based constructions will beat lattice-based constructions on concrete efficiency in every use case where hash-based constructions are possible at all.
Theoretically, of course it's possible that hashes are broken too (eg. P = NP would imply that). But I think P = NP is very unlikely. And intuitively, it's much more likely that a mathematical object has exactly no exploitable structure (like hashes are intended to), than that a mathematical object has exactly ~3 forms of exploitable structure (for elliptic curves: associativity, Schoof, pairings) and not some secret fourth form of structure we have not yet discovered that greatly degrades its security (for elliptic curves, ECDLP and pairing security). Similar for LWE, SVP, RLWE and the zoo of lattice problems.
For this reason, we do not yet see any reason to worry and start padding the byte size of hashes (if we start to worry more, we would pad the round count first before doing anything to the byte size).
Concrete TLDR, my own personal views:
* Hash-based > lattice-based, in those situations where hash-based is possible at all
* For anything lattice-based, be much more paranoid on param sizes. Remember that blockchains are only a small portion of the cryptography story; this point goes far beyond blockchains and applies to eg. access to websites, secure messaging, Tor / VPNs ...
* For privacy protocols, strongly favor NOT putting encrypted notes onchain. Instead, send them offchain through some third-party mechanism.
* If it's not difficult for you, keeping your funds in addresses which have not yet been used to make a transaction is a good idea. If it's easy for you, do it. **But be careful about migrations; I personally have lost more money in botched migrations than I have lost in all hacks combined**.
* For multisig wallets, doing confirmations offchain is better than onchain, because this way the signatures of signer wallets do not get exposed to the public, so if ECDSA falls to AI much faster than expected, at least the multisig "gracefully degrades" to a 1-of-1 where the 1 is whoever was gathering the signatures - a much better place to be than "anyone can take the money"
firefly.social/post/x/210783…
No One retweeted
Hey #ShibArmy,
Who is coming to @token2049 @singapore?
Don't forget to identify yourself by way of proper introduction. IYKYK. 🫡
See you tomorrow.
🤖 Made with AI
No One retweeted
ethereum:0x95ad61b0a150d79219dcf64e1e6cc01f0b64c4ce is only on eth (ERC-20). Any chain claims that they have a version of $SHIB there it is ur responsibility to DYOR and trust them with it. It’s great to expand but why would you risk trusting others if you can get the original token on eth.
No One retweeted
Imagine being this bad ass in a public forum full of public servants.
Absolutely no lies told.























