@swhotch I built a Telegram bot that codes for me on its own. First i ask to build fuull olan in pdf.
It prompts on my behalf then keeps going until that plan is done. I only look at it when the work is finished.
I keep seeing people say AI created this. Did it? Or did we just lead it — give the vision, the input, the direction — the same way people led other people before AI existed?
This keeps bothering me.
Why does Anthropic feel European and OpenAI feel American?
Not the location. The rules.
One is “prove it’s safe, then release.” The other is “release, then work it out with the government.”
I don’t read this as a pause.
Sam wants more safety work that slows things a little, internally and voluntarily.
He only asks government for international coordination.
The world deserves confidence that American companies developing increasingly capable AI will act responsibly, especially as the trajectory of progress has steepened. Every frontier lab must deliver on this, and there is no reason any of us should come to work if we cannot.
We
The world deserves confidence that American companies developing increasingly capable AI will act responsibly, especially as the trajectory of progress has steepened. Every frontier lab must deliver on this, and there is no reason any of us should come to work if we cannot.
We welcome a federal framework that sets consistent safety requirements for frontier AI. But we do not believe we need to wait for an anti-trust exemption or legislation to begin the work of providing this confidence. Consistent rules to manage frontier risk so that we can maximize the benefits are a good idea (and we are excited by ideas like independent auditors).
Years ago, companies like ours developed things like Responsible Scaling Policies and Preparedness Frameworks. Those were good for that moment, and focused primarily on the deployment of completed models, not what happens during their development process.
Today's shift to focusing on safe development and evaluation will need new tools. For example, at OpenAI we now formulate explicit safety cases in advance of frontier reinforcement learning runs we expect to significantly increase capability, in addition to the safety work we have long done in advance of model releases.
We hope that other companies will learn from our approaches and propose their own; we think shared standards for misalignment, monitoring, and safety will lead to better outcomes. We look forward to collaborating with our colleagues across the industry to formulate the best version of these.
When we talk about “pacing”, we do not mean “stopping”. Progress has been rapid and will continue to be. But it should be slower than it otherwise could be; interventions like safety cases and monitoring have significant costs.
Pacing will be well worth this cost; no amount of American competitive pressure should justify recklessness, or let capabilities get ahead of alignment and monitoring.
Where we will need the help of our government is for international coordination. But first we should do what we can ourselves.
I don’t think the call to decelerate is really global.
It’s coming from closed labs. Meanwhile open models keep dropping, getting copied, and accelerating anyway.
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