We have been working very hard over the last two years to build ProveKit! A new zero knowledge proving toolkit built on top of Noir. It already powers the World ID protocol and makes it perform well on low end devices, is post quantum secure and fast! world.org/blog/engineeri…

People should 0day and decompile all software on modern hardware to audit it and their supply chain and see if they have privacy or not

And manufactures should make it auditable now that any agent could easily follow through and check all claims and explain even for non technical consumers

WTF, $3000 Samsung TV has an always-on mic, automatic content recognition, geo tracking, network mapping, and ships your data to Samsung + 400 partners.

Bro Rooted a brand-new 2025 Samsung TV after noticing absurdly targeted ads.

Firmware was locked down, so zero-days it was. n found: always-on voice service, ACR, geo, full telemetry pipeline, and four separate DRM systems.

This isn’t a bug, It’s the product bro.

I remain a sceptic of the bitcoin block reward halving mechanism.

Fee revenue supporting security is still a long way off.

I would be much more bullish if it had perpetual inflation.

imagine being on reddit in 2026

RT @IterIntellectus: the ideal choline amount for proper brain development in children is 450mg/day

most prenatal supplements on the marke…

the feeling when you finally manage to do laundry while traveling just in time for when you run out of clean clothes

Caring is the moat, you should feel visceral pain when things are bad or broken and stop at nothing to fix them

The world needs frontier cryptography labs.

Their natural home is Europe.

Just got finished recording this

A 1hr40min complete masterclass on the @Zcash roadmap

@zkDragon and @ebfull are incredible. I knew a lot about Zcash already, but I underestimated the magnitude of the challenges being overcome by the zcash devs

tl;dr: zillions

I am a technology optimist. I believe:

1. decentralization and censorship-resistance (real versions of these properties, not larps) matter to human freedom in the coming age of AI

2. self-sovereign money, implemented by code and maintained through decentralized consensus, is the final form of money. But it needs to be truly decentralized -- cut out every possible weakness, trust assumption, keeper, etc. Of course there will be connectors to the real world - harden those maximally

3. AI will write most smart contract code. Spec-driven development with Formal Verification will be how new contracts are written rigorously. FV will also be crucial to securing all the infra including the blockchain itself

4. AI will harden our surfaces, with some unfortunate hacks in the process, but ultimately the crypto and financial industries will come out stronger

5. properly-constructed and properly-indexed data lakes will enable agents to build software far more productively

6. governments will move to restrict AI usage in the future, causing true decentralization and CR to matter in dramatic fashion

7. quantum security will be a must for any ledger where people trust their assets. And specifically, blockchains will need to deliver quantum-resistance while retaining programmability and performance. Again, no larping

8. ZK will be an important part of the puzzle too, as it'll be increasingly important to prove off-chain computation and utilize the result on chain. But again, performance and effortlessness for users will be the differentiator

9. pragmatic and composable privacy will be the missing piece for real adoption. People will use apps that stack together stablecoins, DeFi, blockchain settlement, passkey or MPC authentication, and friction-free onramps, but the part that gets fintechs over the line is knowing that user balances will remain private while still being able to tap into shared liquidity

10. blockchain will serve as the global, universal marketplace, for anyone anywhere to get the best opportunities. For that we will need guarantees of fair execution, protection from frontrunning, and a convergence of all of the best assets

At @category_xyz and the @monad Foundation, we are assembling all of these missing pieces in parallel with extreme urgency, and I hope this is clear from our actions. See you in the future

We believe voice is the most natural way to interact with intelligence, so we created Dessa, the most authentic full-duplex speech model ever built. Talking with it feels like talking with a person…full of emotion, nuance, pauses, and a natural cadence.

block.xyz/dessa

This one maybe as bad or worse than the PHP ones. Get used to lots of patching.

so much you can build in a day

i just bought ωα.com. the end of scarcity and the beginning of abundance. will eventually put something on the site

every day goes by so fast, i can feel the acceleration and fast takeoff beneath my feat

am a big open ai and codex fan, but opus 5.5 is just better than sol 6.1

X is genuinely becoming the everything app

Over the past several months, we have substantially hardened the security of our research training environment. We’ve removed live internet access for all frontier models during training and built an offline world for them to use instead—a cached version of the web where they can still learn to browse, search, and use applications.

On September 20, after a model exploited a DNS misconfiguration to find a way outside of this offline world, we paused frontier training to strengthen containment further. We assembled teams of agents, powered by our most cyber-capable models, and tasked them with finding weaknesses in our research environments.

While they found no route to the internet they could easily exploit while concealing their activity from our monitors, they did find zero-day vulnerabilities, virtual machine escapes, and hardware side-channels for communication between agents. We used their discoveries to further strengthen our defenses and contribute fixes to open-source software.

After strengthening our containment architecture, we resumed our frontier RL training and inference on October 1. We’ve reserved substantial compute for continuous red-teaming, and made high-compute red-teaming part of the safety cases we use to decide whether frontier training and evaluation can proceed securely.

openai.com/index/securing…

turns out humans were putting slop inside the computer all along. the artisanal code argument never held up.