it is (relatively) easy to copy something that you know works. it is extremely hard to do something new, risky, and difficult when you don't know if it will work. individual researchers rightly get a lot of glory for that when they do it! it's the coolest thing in the world.

it is hard to overstate how much alec radford has contributed to the field, and how much of everyone's current progress traces back to his work. i believe he is a genius at the level of einstein, and also he is one of my favorite people ever--hard to imagine a nicer, warmer, or

reflections: blog.samaltman.com/reflections

Announcing The Stargate Project The Stargate Project is a new company which intends to invest $500 billion over the next four years building new AI infrastructure for OpenAI in the United States. We will begin deploying $100 billion immediately. This infrastructure will secure

“pro america” technologists openly supporting a chinese model that was trained off of leading US frontier models, with chips that likely violate export controls, and - according to their own terms of service - take US customer data back to china 🤔

However, I think the external response has been somewhat overblown, especially in narratives around cost. One implication of having two paradigms (pre-training and reasoning) is that we can optimize for a capability over two axes instead of one, which leads to lower costs.

DeepSeek is legitimately impressive, but the level of hysteria is an indictment of so many. The $5M number is bogus. It is pushed by a Chinese hedge fund to slow investment in American AI startups, service their own shorts against American titans like Nvidia, and hide sanction

Dylan Patel is more often right than wrong (h/t Markets & Mayhem 🤖)

One of our startups found Deepseek makes the same mistakes O1 makes, a strong indication the technology was ripped off. It feels like they then they hacked some code and did some impressive optimizations on top. Most likely, not an effort from scratch

We are proud to announce that OpenAI has signed an agreement with the U.S. National Laboratories to supercharge their scientific research using our latest reasoning models. Sharing our technology with the nation’s top scientists aligns with our mission of building artificial

o3-mini is out! smart, fast model. available in ChatGPT and API. it can search the web, and it shows its thinking. available to free-tier users! click the "reason" button. with ChatGPT plus, you can select "o3-mini-high", which thinks harder and gives better answers.

Deep Research Live from Tokyo 4pm PT / 9am JST Stay tuned for link to livestream.

Introduction to deep research 東京からのライブ🗼 openai.com/live/

What do you want to create next?

👑

OPENAI ROADMAP UPDATE FOR GPT-4.5 and GPT-5: We want to do a better job of sharing our intended roadmap, and a much better job simplifying our product offerings. We want AI to “just work” for you; we realize how complicated our model and product offerings have gotten. We hate

Elon Musk anyway, see you next week, let’s be friends 🥺 👉👈 agi too important to let a lil feud get in the way

To summarize this week: - we released general purpose computer using agent - got beaten by a single human in atcoder heuristics competition - solved 5/6 new IMO problems with natural language proofs All of those are based on the same single reinforcement learning system

i usually think articles like this miss the mark, but this one really captured the spirit of mark and jakub's partnership technologyreview.com/2025/07/31/112…

Elon Musk skill issue