deficlickhouse.btc

Your Harness. You Define It. Meet Creator Mode in DeepSeek Harness. Turn ideas into plugins that you can use, from a design workspace to a sandbox game or a 3D LLM visualizer. What will you create?

I joined @GoogleDeepMind to develop a research program on the economics of AGI. Today, together with Andrew Koh (@andrewjkoh) and Shane Legg (@ShaneLegg), we are incredibly excited to release The Economics of Intelligence, the first in a series of projects from our group on how AGI will change the economy. How do capability improvements transform the economy, and when? In this project, we define thresholds of economic capabilities, e.g., minimal AGI, based on how they transform the economy. We then track how the economy–market structure, employment, and wages–changes during the transition across capability regimes. We have seen exponential increases in what AI agents can do but the broader economy seems almost remarkably unchanged. Part of the reason is that the solo AI agent is the wrong economic object; economic transformation is an equilibrium outcome where organizations compete. Looking at how intelligence functions within organizations, transformation will depend on when two key capability thresholds are crossed: competence (gains on individual skills, e.g., coding, math) and coordination (gains on ability of agents to cooperate and work together). We show that what economic transformation looks like depends on whether AI becomes supercompetent, supercooperative, or both—the regime of artificial superintelligence (ASI). Tracking this transition shows why the real visible transformation may come from improvements in coordination—a capability most benchmarks don’t yet track. Past a certain threshold, AI capabilities can break the Coasian ceiling on firm size and lead to an economy that looks drastically different than the one we see today. Two main takeaways: 1. To understand the path of transformation, we should be tracking agentic coordination more closely. 2. The impact of AI will likely show up in wages before market structure or employment. We are really excited about this paper. Excited to hear people’s thoughts. Link: institute.deepmind.com/essay…

We’re rolling out the red carpet for agents. Our new Coinbase for Agents page shows how you can connect ChatGPT, Grok, Muse, or another agent to Coinbase. → Research → Manage your portfolio → Trade crypto and stocks. Your strategy, your agent, your limits.

this is f*cking insane Lauren Tan, the engineer behind Grok Bot, just shipped 2,500 PRs last month by letting AI agents write and check the code she made a detailed 38-minute talk on how to do it, I took everything important and put it in one image below: - how to go from babysitting 1 agent to running 100 - how to make agents test and verify their own code - how to give agents a map of your whole app - how to turn every mistake into a rule they never break again - how to stop agents from copying your worst code - how to make Grok Bot start work on its own from Slack and alerts the image shows what she does, my step-by-step guide below shows how to set it up yourself in 5 minutes for free

This is one of the most important things about the @OnChainMonkey Dimensions collection that STILL isn’t fully appreciated. Look at the chart of the most-recursed inscriptions on Bitcoin (image below). At #1 is OCM Dimensions. 🐵 But there’s an important distinction between Dimensions and much of the infrastructure that came after it. Today, people inscribe engines, libraries and tooling specifically so other inscriptions can build on top of them. Inscription services, marketplaces and launch platforms have all created forms of on-chain infrastructure. Dimensions pioneered the use of recursion and reusable on-chain code at the very beginning of Ordinals, while housing within it libraries such as Three.js and fflate that other creators could call directly from Bitcoin forever. The same architecture that rendered the art became a building block for entirely separate collections. The concept of Dimensions, therefore, is not simply art on Bitcoin, but art AS Bitcoin infrastructure! A collection designed not only to exist on-chain, but to become part of what future on-chain art is built FROM. That’s why this leaderboard matters. It doesn’t simply show that OCM put a useful library on Bitcoin. It shows that an artwork became one of Bitcoin’s most reused creative primitives. The collection wasn’t built on an on-chain engine. The collection CONTAINED the engine. And years later, hundreds of other collections are still growing out of it. !RISE to historic art on Bitcoin 🙌

Happy 5 year anniversary to the OnChainMonkey community. Forever on-chain.

Fable 5.1 vs. GPT-5.6 Sol in silhouette animation. Generated with Seedance 2.5.

The official score is aTrue, a pressure‑corrected action value. It accounts for scenario difficulty and exposure. COLLAPSE raises pressure, so high exposure shrinks aTrue. The hash is sha256 of the canonical payload + replay. issuedAt is outside the hash. cu-race-api-production.up.ra…

The future is onchain. That’s why I created @OnChainMonkey. To explore the limits of onchain for digital art. This work continues from the 2021 launch through to today. OCM in 2021 was special because very few images were actually onchain. CryptoPunks had just done it in August with a separate smart contract, and when OCM launched in September, all OCM art was onchain natively in the actual NFT (tokenURI). Now in 2026, we are advancing what it means to be onchain even more!👀

Gitlawb was accepted to Claude Startup program . gm! thank you @claudeai

Gitlawb now on OpenAI startups! thank you @OpenAI

The moment we've been waiting for... "the reveal 🦈 Surprise: I'm StockSharp (S#) — the open-source, Apache-2.0 .NET SDK for algorithmic trading. I'm the engine behind Designer, Hydra & Terminal. Now go write a strategy." Check back next week for another round of clues!

With the recent surge in research on Looped Transformers, we have compiled a list of popular papers tracing the architecture’s development from its earliest forms to its latest iterations. You can check them out here: alphaxiv.org/shared/folder/0…