Quotesby GlyphMark Zuckerberg quotes on AI, with sources
Founder and CEO, Meta · 29 quotes · latest Sep 29, 2026
- Muse is one of the most important products we’ve built for the era of personal superintelligence.Unverified
- This is an important step for Meta as we diversify our compute. I expect AMD to be an important partner for many years to come.
- We’re excited to form a long-term partnership with AMD to deploy efficient inference compute and deliver personal superintelligence...
- Meta Superintelligence Labs is off to a great start and we continue to lead the industry in AI glasses. If we deliver even a fraction of the opportunity ahead, then the next few years will be the most exciting period in our history.
- The rest of this decade seems likely to be the decisive period for determining the path this technology will take, and whether superintelligence will be a tool for personal empowerment or a force focused on replacing large swaths of society.
- If trends continue, then you'd expect people to spend less time in productivity software, and more time creating and connecting.
- Over the last few months we have begun to see glimpses of our AI systems improving themselves. The improvement is slow for now, but undeniable. Developing superintelligence is now in sight.
- Personal devices like glasses that understand our context because they can see what we see, hear what we hear, and interact with us throughout the day will become our primary computing devices.
- I'm excited to build personal superintelligence for everyone in the world.
- This is distinct from others in the industry who believe superintelligence should be directed centrally towards automating all valuable work, and then humanity will live on a dole of its output.
- AI is almost certainly going to unlock a massive revolution in knowledge work and code.
- As you start getting more intelligence in one part of the stack, you’re just going to run into a different set of bottlenecks. That’s how engineering always works: solve one bottleneck, you get another bottleneck.
- I would guess that sometime in the next 12 to 18 months, we'll reach the point where most of the code that's going toward these efforts is written by AI.
- I would guess the world is going to get a lot funnier, weirder, and quirkier, the way that memes on the internet have gotten over the last 10 years.
- I'm talking more like: you give it a goal, it can run tests, it can improve things, it can find issues, it writes higher quality code than the average very good person on the team already.
- You can basically take a model that's much bigger, and capture probably 90 or 95% of its intelligence, and run it in something that's 10% of the size.
- You need to worry about waking up one day and if you're using a model that has some tie to another government, can it embed vulnerabilities in code that their intelligence organizations could exploit later?
- We had a strong quarter, and Meta AI is on track to be the most used AI assistant in the world by the end of the year...
- I believe the Llama 3.1 release will be an inflection point in the industry where most developers begin to primarily use open source, and I expect that approach to only grow from here.
- Our adversaries are great at espionage, stealing models that fit on a thumb drive is relatively easy, and most tech companies are far from operating in a way that would make this more difficult.
- There is an ongoing debate about the safety of open source AI models, and my view is that open source AI will be safer than the alternatives.
- Third, a key difference between Meta and closed model providers is that selling access to AI models isn’t our business model.
- Today, Linux is the industry standard foundation for both cloud computing and the operating systems that run most mobile devices – and we all benefit from superior products because of it. I believe that AI will develop in a similar way.
- At the end of the day, we basically realized we've got to solve general intelligence and we just upped the ante and the investment to make sure that we could do that.
- I actually think before we hit that, you're going to run into energy constraints. I don't think anyone's built a gigawatt single training cluster yet.
- I think that at some point AI is probably going to surpass people at most of those things, depending on how powerful the models are. But I think it's progressive and I don't think AGI is one thing.
- Just to put this in perspective, I think a gigawatt would be the size of a meaningful nuclear power plant only going towards training a model.
- On the flip side, one of the reasons why I'm philosophically so pro open source is that I do think that a concentration of AI in the future has the potential to be as dangerous as it being widespread.
- Beyond this, our management theme for 2023 is the 'Year of Efficiency' and we're focused on becoming a stronger and more nimble organization.
About Mark Zuckerberg
Founder and CEO, Meta. Listed here for public statements only; no personal details.
Photo: Anthony Quintano from Westminster, United States, CC BY 2.0, via Wikimedia Commons
Topics: AI, Superintelligence, Chips, Compute, Strategy, Work