BlockChannel

Yes yes, that’s where I was in the story.

Then we can delineate each block into a fixed legal jurisdiction. This enables politicking/policing of every block of value that transfers in the world. And voila, we can scale the world into the AI and Crypto Quantum world SAFELY and sensibly without unnecessary regulation

We can use social intelligence, data visualization, and AI to create realtime block politicking and policing. We can infer and analyze every series of transactions in fixed intervals or epochs. Then we can parse and solve those blocks by then delineating each suspect block..

We had trouble educating people on @Zcash so Claude and I made the BlockCube to explain the anatomy of a ZCash/Ethereum/Bitcoin block. Fully interactive and filled with info. Learn the entire biology of a blockchain block. blockchannel.com/learn cc: @zooko @VitalikButerin

Very proud to announce the relaunch of @BlockChannel - where I’ve housed musings, research, joint posts, and the educational podcast since 2016. 🎊 BlockChannel.com 🎊 This a monument portal for everything crypto will do between now and 2030. It’s a digital guidebook.

Ze new @BlockChannel logo revamp now represents what crypto was making all along: The blackbox of money and knowledge.

"Even more bugs are inevitable, software is all going to become probabilistic now" is cope. "AI bug-finding means we have to embrace closed-source now" is a psyop. Writing buggy code has moved from hard to trivial. Writing secure code has moved from impossible to hard.

Blockchannel is getting a rebranding and mission refocus for its blog and podcast.

Every major L1, to ensure “machine compatible fault tolerance”, should have at least ONE WORKING implementation that is entirely written, maintained, and audited DAILY by a frontier coding model. This ensure that in the event of a black swan zero day, at least one is AI ready.

My friend Elsa wrote an article on UX researchers and product folks transitioning into builders with the aid of AI. Not sure what’s considered bad for the X algorithm these days, but here’s the post. @elsaho/from-user-research-to-building-six-months-later-eb45fecc343b" target="_blank" rel="nofollow noopener">medium.com/@elsaho/from-u…

Amazing that polymarket actually got such a substantial investment and it’s going to flop ridiculously.

ways to say someone has "it" they have: - the X factor - je ne sais quoi - the sauce - panache - undeniable aura

Crypto is not just a ledger of transactions---it’s a ledger of truth and trust. That’s what makes Bitcoin valuable. For Bitcoin this requires burning energy on random number guessing. What if we could instead leverage massive, real-world computation to achieve the same level of security? This has been an outstanding open problem for more than 30 years in academia, and since the emergence of blockchains in industry. Last year, we proposed the first solution (eprint.iacr.org/2025/685). Our mathematical breakthrough suggests piggy-backing on matrix multiplications, the native operation of GPUs that power the AI revolution, from pre-training, post-training, to inference. The potential applications are endless: improving the unit-economics of LLMs, shifting AI-generated wealth back to users, and enabling new primitives such as settlement and even UBI systems for AI agents. Since then, we've worked hard turning the math into a fully operational system. From the algebra and CUDA kernels to a working L1 blockchain and a production LLM inference pipeline implementing this “2-for-1” technology. Today, we’re excited to share that the @prlnet is ready, and will soon enable serving SoTA LLMs while mining the blockchain at negligible additional cost. Along the way, we encountered many fascinating challenges. We’re now publishing them as a collaborative Polymath challenge, spanning open questions in math, systems and economics. If you’re interested, take a look and feel free to reach out: pearlpolymath.com. #PRL #AIMoney

waay back in 2020, I designed the L402 protocol to solve authentication+payments on the web for machines 🤖 -> lightning.engineering/posts/2020-03-… flash forward to 2026, and now the machines are intelligent, kicking off a new era of personal AI agents with the latest advancements in AI, the L402 protocol is more relevant than ever today we're releasing a suite of CLIs, skills, and MCP servers to enable agents to *securely* transact on the web ⚡️

Here is a list of my predictions for assets that will sunset this year, based on my current working knowledge: - Mattereum - EverClear - PEPE - BONK - Ethereum Classic - PUMP - Optimism - NEAR - GNO (Gnosis) - Graph

@djpardis how you been sis?

Ziren v1.2.0 is live. What's new? Compressed→Groth16, no-std STARK verifier + verify_proof(), network prover cycle introspection/ELF IDs/config, zkm cli, @golang guest (toward Linux ABI), Bitcoin guest + BitVM2 headerchain proving, Poseidon2 + AES-128 precompiles, and more. Dive into the full update at zkm.io/blog/ziren-v1-… Start building with Ziren at github.com/ProjectZKM/zir…

New favorite cracker

how has all the ai psychosis stuff not created a machine worship cult yet