Chris Kim✓

Alex Imas @alexolegimas

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:

Aaron Levie @levie

Agents are going to consume 1,000X more tokens than we consume today. Because they’re going to be running in our workflows, processing all of our data, building out nearly all software, securing enterprises, and much more. To do this at scale we will need a variety of approaches at the frontier of AI. This includes continuing to push the boundaries of closed models, while also increasing the capability of open weights models, making them more secure, as well as making them more efficient for large workloads. Very exciting to see what @Suhail is building with Particle on this front.

Chris Kim @chriskim_dev

Last night before bed, I asked Kevin, my chief of staff on Grok @bot, to build a cool @Box demo app. On my way to work in my @Tesla, I asked Kevin for a status update and any blockers. It just worked. Best commute ever 😄

Jacob Weaver @weaverwork

I haven't touched my @Box Demo Account this week, and I've built 22 use cases in it. My process: I take a real problem I've run into with manufacturing and automotive customers, like PPAP reviews, change orders, ITAR docs or AP invoices. I describe it to a @grok Bot in plain English. It builds it in my Box demo tenant, using the Box connector plus a Box API app for metadata, Box AI calls and uploads. For what the API can't do, like Box Automate flows, it drives a browser on its own computer. It checks everything against Box's official docs, support site and public GitHub, then builds it according to best practices. So far that's contract lifecycle, AP invoice approvals, supplier onboarding with Forms, Doc Gen and Sign, a plant SOP hub, a construction RFI tracker, a grants dashboard and more. I packaged it so you can use it too. Box Solution Builder:

Gregory John @gregoryjohn

Ok, @1Password is all over my timeline. Who uses them? The new agent feature looks good. However The single point of failure makes me nervous. What do I need to know?

Box @Box

The Model Is Only the Beginning by @charlierguo, Developer Experience @OpenAI Join us at the BoxWorks Dev Summit for Charlie's keynote talk on how tools, sandboxes, skills, and memory turn increasingly capable AI agents into useful collaborators—and reshape how we work.

OpenAI Developers @OpenAIDevs

Since the beta, we’ve added new capabilities to the Decisions API so you can now use: • Native GPT-Live integration so voice apps can react as people speak. • Prompt caching to help lower costs when reusing context. • Native JSON inputs so you can pass structured app data directly. • Images in individual question instructions so you can compare multiple images against a shared reference. • Up to 400 questions per request so you can make twice as many decisions in a single call.

Box @Box

“The systems of record that agents have access to will grow in importance, because you will want to make sure that those systems are governing the rules of the road for these agent swarms to operate in.” @levie on @CNBC discussed why enterprise ROI from agent swarms relies on the systems underneath them.

Chris Kim @chriskim_dev

Michael Magán @mrmagan_

I was a judge for the @Box and @awscloud Agentic Enterprise Hackathon this weekend. Congrats to all the hackers!! @crtr0 and I hacked a little app for judges and hosted it on charming. I took us about five minutes. You can really create the perfect app just when you need it.