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