“Code is becoming management"
Former Google CEO Eric Schmidt says programming has already changed more in 6 months than in the last 20 years.
Top engineers are no longer writing most of the code themselves. They’re managing fleets of AI agents with objectives, verification, and long-running tasks.
The leverage moved from typing to orchestration.
Today we’re launching the OpenAI Deployment Company to help businesses build and deploy AI.
It's majority-owned and controlled by OpenAI. It brings together 19 leading investment firms, consultancies, and system integrators to help organizations deploy frontier AI to production for business impact. https://t.co/GnyjGFaLLA
Still not sure if we live in the best exponential time yet? Today, a child in Africa with a smartphone has access to more information than the President of the United States did 20 years ago.
Let that sink in.
DERMATOSE NODULAIRE CONTAGIEUSE BOVINE
Bon. Vous me faites chier. Faut que je retourne au charbon. C‘est le bordel sur les réseaux là.
On va expliquer 2-3 trucs parce que toute cette histoire, c’est juste que personne n’a rien compris à la maladie.
AI is coming for diseases, just as it did for chess. Alphabet’s Isomorphic Labs is about to start human trials for AI-designed cancer drugs. Their goal is to generate treatments on demand rather than Big Pharma's 'trial and error'.
The biggest AI Agent opportunities are going to be in categories of work where there could be a 10X or 100X increase in demand if the cost of executing certain tasks went down dramatically.
The key is to find categories of work where there’s a significant amount of non-consumption simply because doing the work before was too expensive or time consuming.
It turns out that these spaces are basically in every single market. The easiest way to figure out these markets is to find out which verticals have things that customers have always wanted to do but never get around to.
If you talk to lawyers, they’ll complain about how time consuming reviewing every contract is, and how many contracts are sitting around that they don’t know anything about. If you talk to engineers, everyone knows how endless the backlog of mindnumbing work there is to get done that isn’t core feature development. If you talk to marketers, they always would love to launch more targeted campaigns to more markets.
In every one of these areas, AI Agents will bring down the cost of doing this work dramatically, which means the work can finally get done.
And importantly, all of these tasks are tied to broader workflows, which is desirable given the need for ultimate human review of most output. There are endless opportunities like these to go after right now.
The media should focus on all the outstanding achievements humanity creates daily. Instead, they're focused on fear-mongering tactics. There has never been a better moment to be alive than TODAY.
AI is shocking Europe
AI is NOT shocking the US
AI is NOT shocking China
The welcoming call from Paul Hudson to be offensive and to use our unique talents and assets to take the challenge
All-in.
#REAIX#REAIX2025@Cercle_eco
6/ People with the capacity to form intentions and set goals will emerge as winners in an AI-mediated world. As OpenAI CEO @sama tweeted in December, “You can just do things.”
It’s getting harder to find a first job, but it has never been easier to create a first opportunity.
"A sane country does not wage war against civilians, does not kill babies as a pastime."
— Major General Yair Golan, former deputy chief of staff of the Israeli army
Many AI apps today feel like the "horseless carriages" of the late 19th century, which "swapped a horse for an engine without redesigning the vehicle to handle higher speeds." They pack powerful tech into outdated interfaces.
YC's Pete Koomen (@koomen) thinks we can do better.
He joined @t_blom and @dflieb to lay out a new vision for how AI should actually work: not as a chatbot bolted onto legacy software, but as a customizable tool that helps people offload the work they don't want to do.
From editable system prompts to agents that act more like collaborators, they break down what it means to build AI-native software—and why the future belongs to products that let users teach machines how they think.
0:00 – Intro
0:52 – Why AI apps are broken
2:39 – How Gmail’s AI features fall short
4:00 – A better way to build AI apps
5:27 – The hidden system prompt
7:57 – What if you could access the system prompt?
9:40 – The developer-user divide in software
10:48 – The "horseless carriage" metaphor
13:35 – Email reading agent demo
14:34 – Everyone can be a prompt engineer
16:23 – Why coding agents feel magical
21:42 – Training AI like a human assistant
28:45 – The problem with chatbot interfaces
29:10 – Advice for founders