Wrapped zkAPI + Tor + extra cover traffic + local LLM prompt rewriting in an open-AI compatible daemon, and made a "paranoid mode" wrapper for my agent harness (pi):
Each conversation gets assigned a separate Tor circuit, your requests are masked with random cover traffic, zkAPI ensures you don't leak your identity through payments, and all prompts are locally rewritten (bring-your-own-local-model; I'm using qwen3.8-flash-next)
https://t.co/MepCFCrLv1
My agent harness is wrapped with a bwrap sandbox (also experimenting with MicroVM) and wrapped again with torsocks, so everything it does goes through Tor.
Here's what me asking it to do a simple research task looks like.
It's getting quite usable! Though you definitely still pay quite a bit in increased latency, especially when starting a new conversation.
Also, Tor is far from optimal here for privacy; the cover traffic mechanism is okay against passive adversaries but much weaker if the LLM provider is colluding with the guard and actively manipulating timing. This kind of task really requires a more specialized mixnet, probably take the tradeoff of a higher bandwidth multiplier and built-in constant cover traffic.
Also also, much cheaper zkAPI deposit and withdraw gas costs are coming to mainnet soon.
Weโre excited to introduce the Muse Wonder series with Muse Wonder and Muse Wonder Full, our most capable models yet. Both are frontier models, built to deliver state-of-the-art performance for personal and professional agentic tasks.
Muse Wonder is available today via the Meta Model API and Muse Code. Muse Wonder Full is available today for Muse Code subscribers. Muse Wonder will also soon power experiences in our personal agent product, Muse, rolling out first to subscribers.
MUSE WONDER
this is the culmination of over a year of research and infrastructure work in msl
since we originally shipped muse spark in april, we have continued to scale our models across pre-training and RL, now reaching the frontier ๐
see our model's improvements on the artificial analysis index:
introducing muse wonder
our new frontier model. state-of-the-art at personal agents and professional agents.
our largest and most capable model yetโrivals the big bois
ETH can ship new signatures in a hard fork while BTC needs years of rough consensus first
And coins on exposed public keys cant upgrade themselves including the Satoshi coins
Vitalik Buterin: Without AI, Ethereum's Lean Roadmap Might Have to Wait Until 2040
Ethereum co-founder Vitalik Buterin @VitalikButerin said in an October 9 interview with Balaji Srinivasan @balajis at the Network State Conference 2026 that AI has become an important factor in advancing the Lean Ethereum roadmap.
Buterin said that given the roadmap's current goals and level of ambition, without AI, the work might have taken until 2040 or even 2050 to complete. He added that AI is now contributing to a significant amount of research and coding, substantially accelerating progress on the roadmap.
This is the kind of AI risk crypto people should actually be talking about. If AI starts attacking the math behind wallet signatures, โnot your keysโ suddenly isnโt enough. The cryptography itself becomes the battlefield
๐จVITALIK SAYS AI COULD CRACK TODAYโS WALLETS SOONER!
Ethereum researcher @drakefjustin told people to plan for bunker mode. AI could crack todayโs wallet signatures before quantum computers do.
@VitalikButerin backed the warning, but said do not scramble today.
If it is easy, keep coins in unused addresses so the key stays hidden.
He says Ethereum has already spent a year moving to hash-based signatures.
The circulating supply will keep going up until it becomes busy enough to be deflationary. Will they start selling when ETH goes deflationary? Maybe not a bad plan.
The DAO vote and technical disclosures are still ahead, though, so for now it's a plan, not a product. I'd wait for details before drawing conclusions.
#ethereum#DeFi
Moving chains shouldn't be a headache. fxUSD and fxSAVE can be bridged between Ethereum and Base using LayerZero V2, so your stable yield can follow you to wherever the action is. Pair that with FX100 on Base and the picture gets interesting.
0/ As AI systems become more powerful, formal verification โ which is the discipline of using mathematics to prove computer programs correct โ shows more and more promise.
A guest thread by @big_tech_sux, lead developer of @vyperlang ๐งต