gpt-oss is out!
we made an open model that performs at the level of o4-mini and runs on a high-end laptop (WTF!!)
(and a smaller one that runs on a phone).
super proud of the team; big triumph of technology.
Anthropic just dropped Opus 4.1, the best coding model in the world!
State of the art 74.5% on the SWE-Bench, surpassing both Gemini 2.5 Pro and OpenAI o3.
In the product right now to use.
According to the model card gpt-oss-120b took 2.1 million H100-hours and the 20b model 1/10th of that
I found quotes for H100 pricing ranging from $2/hour to $11/hour, which would indicate that the 120b model cost between $4.2m and $23.1m and the 20b between $420,000 and $2.3m
It may be a mistake to ask which occupations are most safe from being taken by AI. What AI (in its current form) is good at is not so much certain jobs, but a certain way of working. It's good at scutwork. So that's the thing to avoid.
Bell Labs was the original skunkworks. They invented:
- Transistor
- Laser
- Solar cell
- UNIX
- C language
- Fiber optics
- Digital signal processing
- Touch-tone
- CCD (digital imaging)
- Cellular networks
and the model for lab-to-factory innovation pre-DFM
Mathematician and polymath John von Neumann could speak eight languages by the age of six, including Ancient Greek and Latin. He could divide eight-digit numbers in his head at the age of six. He was familiar with differential and integral calculus by the age of eight. He entered…
agree with lots of what jensen has been saying about ai and jobs; there is a ton of stuff to do in the world.
people will
1) do a lot more than they could do before; ability and expectation will both go up
2) still care very much about other people and what they do
3) still be…
The total value of all public companies in the tiny Bay Area (population 8M) is greater than India, Japan and Germany (population: ~1680M) combined.
There’s a reason why it’s called the global hub of innovation.
Google DeepMind just dropped this new LLM model architecture called Mixture-of-Recursions.
It gets 2x inference speed, reduced training FLOPs and ~50% reduced KV cache memory. Really interesting read.
Has potential to be a Transformers killer.
what elon’s doing feels less like building individual companies & more like authoring a recursive economic protocol.
every company's profits, compute, talent, data... all circulate like functions inside a tightly coupled codebase.
spacex invests in xai → xai buys gpus & trains…
R.I.P McKinsey.
You don’t need a $300k consultant anymore.
You can now run full competitive market analysis using Grok 4.
Here are the exact 3 mega-prompts I use to replicate McKinsey-style insights for free:
Anthropic was at $1B in annualized revenue at the beginning of the year and is $4B now in mid-2025.
OpenAI is at $10B.
This kind of revenue growth has never been seen before by any company in human history.
Andrew Ng (@AndrewYNg) on how startups can build faster with AI.
At AI Startup School in San Francisco.
00:31 - The Importance of Speed in Startups
01:13 - Opportunities in the AI Stack
02:06 - The Rise of Agent AI
04:52 - Concrete Ideas for Faster Execution
08:56 - Rapid…
Grok 4 is the first time, in my experience, that an AI has been able to solve difficult, real-world engineering questions where the answers cannot be found anywhere on the Internet or in books.
And it will get much better.
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