Happy Halloween. Want your locally hosted model to participate too? Don't know how to put it in costume? Have you considered: the neuron that makes LLMs Dr. Frankenstein's monster?
I’m nowhere near done reading it yet, but this is one of the most eye-opening and euphoria-inducing reads I have had in a long time. Think of it not just in model terms, but in terms of how your own thinking works. Generations of philosophers of mind yearned for this.
interpretability might be the most important scientific problem in the world right now, as I don't think we can solve alignment if we don't know what we're building. I think I have good news about it. I co-authored early work in mechanistic interpretability at OpenAI and came away pessimistic, because neural networks appeared to fold into arbitrary tangled knots. years later, I started openai's first large-scale automated interpretability project, finding about 2% of neurons legible with the primitive tools we had
with modern agentic tools and a much closer look, the picture looks totally different. the vast majority in models up to trillions of parameters are legible, and their circuits beautiful. many famous examples of tangled neurons turned out to be misunderstood. The roadblocks I expected mostly aren't there. I now think ambitious interpretability will be solved by the time we need it most, and possibly quite soon, as automated scientists keep improving. it may be a bitter lesson for interpretability: the simple thing, at absurd scale, works
already-clean.goodfire.com/
I don't understand why so many assume that "post-scarcity society" or "all jobs are automated" means everybody is twiddling their thumbs. Do you really think that if you didn't have to work for someone else 40-60 hours a week, you couldn't find other interesting things to do?
One thing I really look forward to as AI and robotics improve is the return of incredible artisanship. There will be far more humans with time to spend on trades and far more robots with time to spend on trades. I hope for a return to ornate gilded-age aesthetics.
Sometimes when it's a beautiful day you just gotta look up to the sky and realize there are billions of barren lifeless worlds waiting to be made beautiful like ours, and every day they're not is one too many.
The part of the @AnthropicAI biolab story I don't get is why they are using robots. There must be plenty of underemployed biology grads in the Bay Area whom they could use for doing physical tasks. Why *start* with robots?
"AI is complicated and dangerous and alignment is hard. So I believe, CONGRESS, which is famously good at writing clear and narrowly tailored rules which are internally consistent easy to follow, should be the one to writes the rules for how ASI must behave."
The frontier of artificial intelligence is advancing at an alarming speed. Over the weekend, industry leaders voiced support for an idea that the American people and many AI researchers in their own labs have been calling for: We must responsibly slow the pace of frontier AI development.
A slowdown is critical in order to ensure AI serves the public interest. Pacing AI development does not mean giving up on this technology’s potential to produce life-saving benefits in fields like medicine — some of which we are already seeing. Rather, it is about setting up sensible guardrails so that AI does not completely escape human control and endanger our safety and collective future.
This moment demands the leadership of the United States government. Congress must work at an urgent pace to pass new laws and establish a new federal entity to provide oversight and independent testing for this technology, to ensure accountability, and to protect our wellbeing.
We need cooperation at an international level as well. The United States must continue to lead the world in developing AI technology even as we seek to impose common-sense safety standards. This means that the president must do his job to protect America’s interests by pursuing a treaty with countries like China to stop dangerous uses of AI, limit the speed of its development, and adopt global standards for testing.
If you really believe AI will kill us all, this could be seen as rational.
But the impulse is morally flawed like all consequentialist - EA - utilitarian type arguments. It is so focused on avoiding some particular envisioned negative consequence that it gives up on pursuing good and resorts to destruction.
This quoted post is unavailable.
perseusabbot.substack.com/p/…
My meager contribution to an important discussion.
One useful thing LLMs teach us about epistemology is that self-play (e.g. deep thinking) is a bad strategy if your world model is bad but is a very good strategy once your world model is good enough. That's why in 2024 RL for LLMs suddenly worked.
Ah, yes. 1989 was actually a terrible time because the student protesters weren't 100% peaceful and some of them fought back. These people may be literally insane. #latestagecapitalism #marxism
reddit.com/r/LateStageCapita…





