Sam Altman said the smartest scientists in AI are the ones who held the entire field back. The experts were the problem.
This is one of the most uncomfortable things he said all night.
Altman said the field was honestly held back by a generation of scientists who were too certain about what scaling would not produce. The people with the most credibility were the most wrong.
Then he explained why.
It was not about intelligence. It was about identity.
He said when you make your identity about a particular belief, that something will work or won't work, and then the data disproves you, you get stuck. You are too attached to the belief to let it go. You cannot see the truth anymore.
The smarter you are, the more confidently you defend the wrong position.
He pointed at the trolls who spent years saying scaling was a dead end, a fraud, a company destined to fail. The data kept proving them wrong. They kept repeating themselves anyway.
He called that a form of insanity.
Then he turned it around. He said it is a reminder in both directions. Including for the people who are currently right.
The lesson is not that experts are dumb.
It is that the moment a belief becomes who you are, it stops being something you can update.
(Watch the full talk on YouTube at Stanford Online channel)
A 21-YEAR-OLD FROM CHINA RUNS 300 AI AGENTS AT ONCE. THE PART THAT MATTERS ISN'T THE SPEED, IT'S THAT NONE OF THEM CAN LIE TO HIM
he opens the dashboard and shows the swarm live, 300 Kimi K2.6 agents firing in parallel, then Opus 4.8 checking every single output against its source. this is not just a faster swarm. it is a loop that refuses to stop while anything is still wrong
he pointed it at 100 EV-market companies. first pass: 12 failed. wrong revenue, dead citations, empty fields. second pass: 3 failed. third pass: zero
this is not another agent demo. it is a system that catches its own mistakes before he reads a single row
Ok, somehow OpenAI made the model selection even more confusing. Not even I know when to use GPT-4o and when GPT-4.1.
We have:
- GPT-4o
- GPT-04 mini
- GPT-o4 mini high
- GPT-4.1
- GPT-4.1 mini
- GPT-4.5
- o3
Come on..
This bit of Sam Altman’s newest post is similar in tone to a post by the CEO of Anthropic & what many (not all) researchers from every lab have been saying publicly and privately.
You do not have to believe them, but I think they believe what they are saying, for what it worth.
@dariusvasefi Looks like consumers are already warming up to the concept of using gen AI tools for shopping. it’s a new habit so it’ll take time but the trend is moving in the right direction.
Based on seeing lots of companies, 98% of what people are calling AI agents are not what the AI labs would call agents. They are usually structured document retrieval systems with a prompt or two for summaries, there is very little control or decision-making given to the AI.
We often think of an "equilibrium" as something standing still, like a scale in perfect balance.
But many equilibria are dynamic, like a flowing river which is never changing—yet never standing still.
These dynamic equilibria are nicely described by so-called "detailed balance"
This year we were at @RiseOfAI Now the videos of the speakers are online. 📺Watch our talk on our company and AI based solutions right here: https://t.co/fRWENJ3Dq6
Initial ideas for governance of superintelligence, including forming an international oversight organization for future AI systems much more capable than any today: https://t.co/9hJ9n2BZo7
Googles Keynote 🤯 for AI. Here's a brief overview:
About 25 different AI products. Biggest LLM news
Palm 2
- 4 different sizes, gecko (runs on mobile) , otter, bison, unicorn
Palm med
- tuned for Medical purposes. Can analyze x-rays to help radiologists.
- Palm Security
WEF warns on AI, job losses: 83 million roles to vanish in 5 years.
“The fastest declining roles are #clerical or #secretarial roles the report says; traditional #backoffice roles that the rise of AI means are rapidly being automated.” #RiseOfAI https://t.co/eaTEBCXwVn
This paper is a preview of the potential disruption from AI.
The jobs that are most exposed to AI are the ones that require the most education, are the most creative & earn the most. This is a population that never faced a major automation threat before. https://t.co/XQoGlRF2dk
What will be the impact of #ChatGPT on different professions and roles?
- medicine
- education
- software
- content
- law
- diagnostics
- personal growth / self help
- personal assistants
- commerce / retail & product discovery
- publishing & writers
- journalism & podcasts
GreenCV: Climate change is one of the biggest challenges of our times. As we pursue larger and more capable vision models, we must also seek to develop efficient ones. Towards this goal, I am planning to submit a PAMI-TC motion @ICCV_2021.
A first draft: https://t.co/v49nzNsTGe