Quotesby GlyphDario Amodei quotes on AI, with sources
CEO and co-founder, Anthropic · 33 quotes · latest September 2026
- Given the accelerating rate of AI capability development, it’s my worry that in 6–12 months such a swarm could be capable of taking over the entire internet with a persistent botnet (potentially causing hundreds of billions of dollars in damage), and that the scale of damage would continue to increase from there if AI becomes more powerful without the necessary guardrails.
- I believe that if slowing down bought us even an extra year or two before models reach critical levels of capability, and we used that time to advance alignment, we could greatly reduce the risk that something goes seriously wrong.
- My first concern is that, since roughly this summer, AI has been advancing drastically faster, driven primarily by AI’s growing ability to build the next generation of AI.
- We must slow the pace at which we improve the capabilities of AI models. Progress will still seem fast, and we must make wise use of the time we gain.
- But its broader significance is that it proves beyond doubt that AI models are now tools of global and national strategic consequence.
- First, enduring job displacement is undesirable and dangerous, and we should do everything we can to minimize or prevent it, not to bring it about.
- I believe that biological risks may soon follow, and that serious AI autonomy risks may not be far behind...
- I therefore believe we should model AI regulation on agencies like the Federal Aviation Administration (FAA). Frontier AI models, like airplanes, should be required to go through technical testing and auditing, and their release should be blocked or reversed as a threat to public safety if they do not meet high standards of safety.
- But what we’ve seen from the beginning, at least if you look within Anthropic, there’s this bizarre 10x per year growth in revenue that we’ve seen.
- I really do believe that we could have models that are a country of geniuses in the data center in one to two years.
- If my revenue is not $1 trillion dollars, if it’s even $800 billion, there’s no force on earth, there’s no hedge on earth that could stop me from going bankrupt if I buy that much compute.
- On the basic hypothesis of, as you put it, within ten years we’ll get to what I call a “country of geniuses in a data center”, I’m at 90% on that.
- What has been the most surprising thing is the lack of public recognition of how close we are to the end of the exponential.
- With coding, except for that irreducible uncertainty, I think we’ll be there in one or two years.
- Another way to say it is that AI isn’t a substitute for specific human jobs but rather a general labor substitute for humans.
- I believe we are entering a rite of passage, both turbulent and inevitable, which will test who we are as a species.
- It makes no sense to sell the CCP the tools with which to build an AI totalitarian state and possibly conquer us militarily.
- And there’s a hugely better world on the other side of it. But we need to understand that this is a serious civilizational challenge.
- That’s why my prediction for 50% of entry level white collar jobs being disrupted is 1–5 years, even though I suspect we’ll have powerful AI (which would be, technologically speaking, enough to do most or all jobs, not just entry level) in much less than 5 years.
- The problem is that if AIs are literally thousands of times more productive than humans, this logic starts to break down. Even tiny transaction costs could make it not worth it for AI to trade with humans.
- This feedback loop is gathering steam month by month, and may be only 1–2 years away from a point where the current generation of AI autonomously builds the next.
- This vacillation is unfortunate, as the technology itself doesn’t care about what is fashionable, and we are considerably closer to real danger in 2026 than we were in 2023.
- Anthropic is doubling down on interpretability, and we have a goal of getting to “interpretability can reliably detect most model problems” by 2027.
- One year ago we couldn’t trace the thoughts of a neural network and couldn’t identify millions of concepts inside them; today we can.
- People outside the field are often surprised and alarmed to learn that we do not understand how our own AI creations work.
- We are thus in a race between interpretability and model intelligence.
- Powerful AI will shape humanity’s destiny, and we deserve to understand our own creations before they radically transform our economy, our lives, and our future.
- Making AI that is smarter than almost all humans at almost all things will require millions of chips, tens of billions of dollars (at least), and is most likely to happen in 2026-2027.
- I think that most people are underestimating just how radical the upside of AI could be, just as I think most people are underestimating how bad the risks could be.
- I’m actually open to the (perhaps absurd-sounding) idea that we could get 1000 years of progress in 5-10 years, but very skeptical that we can get 100 years in 1 year.
- On the other hand, the risks are not predetermined and our actions can greatly change their likelihood.
- This might seem radical, but life expectancy increased almost 2x in the 20th century (from ~40 years to ~75), so it’s “on trend” that the “compressed 21st” would double it again to 150.
- To summarize the above, my basic prediction is that AI-enabled biology and medicine will allow us to compress the progress that human biologists would have achieved over the next 50-100 years into 5-10 years.
About Dario Amodei
CEO and co-founder, Anthropic. Listed here for public statements only; no personal details.
Photo: TechCrunch, CC BY 2.0, via Wikimedia Commons
Topics: Safety, Agents, Research, Superintelligence, Regulation, Work