Corporate hierarchy is a 2,000-year-old information routing protocol.
AI just made it optional.
Two independent groups figured this out separately, one from economic theory, one from running a company at scale.
https://t.co/mcUoPIt6St
@roelofbotha@sequoia#FutureOfWork#AI
In 2009, every e-commerce company was rebuilding payments from scratch.
Then Stripe happened.
The same moment is arriving for enterprise AI. The layer nobody is building yet is the one everything else depends on.
https://t.co/QR6pPLluc0
#AgenticAI#EnterpriseAI
AI agents are being deployed into enterprise environments they cannot see.
Here is why that is the core problem nobody is talking about, and why it matters more than which model you use: 🧵
2/ 71% of enterprise applications remain unintegrated. 82% of business leaders say AI fails without understanding how the business runs. The gap is not a model problem. It is a process visibility problem.
@garrytan MCP describes tools. It tells agents nothing about how to use them safely in context. Agents stay blind to execution reality until the protocol closes that gap. 100LOC wrappers win because they already have.
The mediocrity tax is dead.
For 40 years, enterprises paid premiums for integrated suites because custom integrations were too expensive.
LLMs changed the math. Coordination is now cheaper than containment.
What comes next: https://t.co/PgVrI5JesX
For 40 years, enterprise software was governed by a single economic law: integration beats specialisation. That law just broke. A thread on why, and what replaces it.
The model is architecturally clear. It is not yet operationally simple. Most agents being deployed today cannot actually see how enterprise software works in production. That gap is the most important near-term problem in enterprise AI, and it is underappreciated.
Excited to be at #NeurIPS2025 in San Diego!
If you’re into foundation models for tabular/relational data, multi-agent simulation, or synthetic data generation, let’s connect.
Also: SAP is hosting a reception — join us!
👉 https://t.co/D79CiSII8u
#AgenticAI#EnterpriseAI
We’re excited to announce that our MedSyn project is finally out after 2 years of dedicated work. Congrats to @yanwuxu6 and Li Sun!
MedSyn is a fully controllable Generative AI that synthesizes anatomically realistic CT images using text prompts with extensive evaluation.
Six years ago, @yannakakis and I published a textbook on AI and Games. It has been used in universities across the world and become a standard reference for the field. Much has happened since, and it is about time for a second edition. Good news: we just put a draft online!