At Axiom we've raised $64 million—we're a small startup—and we recently won the Putnam competition. We scored 90 out of 120, which would have placed us above all ~4,000 human contestants last year and at the level of a Putnam Fellow, meaning top five in the world. If you tried to achieve that purely through informal methods—where hallucination is a persistent risk—getting to the same level of consistent correctness would likely require a lot more resources.
— Carina Hong“If we are to migrate our lives to the internet, we need a decentralized infrastructure that enables everyone to have control of their assets without being robbed. This is the same for money, right? Offline money is real money – nobody can take it from you. If you deposit that money with your bank or have a digital wallet with a bank, they can freeze your wallet, they can block transactions.”— Justin Sun
The quote archive
AI
A growing archive of 3,000+ moments, drawn from every interview.
We see math as code and code as math. The real magic, and the key transition, comes from combining AI, programming languages, and mathematics—bringing all three pillars together. What we envision is humans using informal reasoning and intuition as a powerful guide, with formal systems then verifying those ideas. That interplay across layers is, I think, the real magic of combining multiple levels of abstraction.
— Carina HongThink about a rabbit sitting in a field. If that rabbit saw a hawk circling above and decided to wait for the back-propagation step before responding, it would be dead. It has been eliminated from the gene pool. The better you model the world, and the faster you can act on that model, the more likely your genes are to survive.
— Hon Weng ChongThe brain is definitely not doing computation in the purest sense. We are not crunching numbers in binary ones and zeros in our heads. When people ask me how our system compares to an NVIDIA GPU in terms of FLOPS, I tell them they're asking the wrong question. A more important question is: what are your inputs, what output do you want, and how intelligently can the system get from one to the other?
— Hon Weng ChongI think intelligence is best understood as an entity that has the ability to improve a metric through repeated exposure over time. By that definition, machine learning algorithms are learning systems — they get better with more data and more exposures. A dog is a learning system. A cat is a learning system — you teach it a trick, reward it a few times, and it just does it from there on. And humans, of course, are the ultimate example of a learning system.
— Hon Weng ChongInstead of worrying about powerful artificial intelligences in the future, we should be concerned about the lack of intelligence in the Oval Office today!
— Garry KasparovWorld Chess Champion & Political Activist Against Russian Authoritarianism
We cannot think about technology in confrontational terms. There is no race against the machines, there is no fight, no war. We have to end this long, historical confrontational narrative.
— Garry KasparovWorld Chess Champion & Political Activist Against Russian Authoritarianism
We're living in a world of increasing, exponentially growing computational power. Technology is always on, always available, and we're now moving into the quantum computing era – these exponential technologies are enabling artificial intelligence, robotics, 3D printing, synthetic biology, augmented reality, blockchain and allowing these technologies to converge, creating new business models.
— Peter DiamandisFounder of X Prize Foundation & Singularity University
At some point, if this kind of technological progress continues, it would seem that our descendants will become entirely digital: uploads or artificial intellects implemented on computers.
— Nick BostromPhilosopher & Director of Future of Humanity Institute at Oxford
Among future technologies that may pose significant existential risks I would rank machine super intelligence at or near the top.
— Nick BostromPhilosopher & Director of Future of Humanity Institute at Oxford
We therefore see the drone exhibiting through software signs of the moral-affective function of 'guilt' when engaging in each mission.
— Ronald ArkinRoboticist & Pioneer of Ethical Autonomous Systems and Robot Ethics
After each strike the drone would be updated with information about the actual destruction caused. If it did more damage than expected, then it could use this information to restrict its choice of weapon in future engagements.
— Ronald ArkinRoboticist & Pioneer of Ethical Autonomous Systems and Robot Ethics
We cannot think about technology in confrontational terms. There is no race against the machines, there is no fight, no war. We have to end this long, historical confrontational narrative.
— Garry KasparovWorld Chess Champion & Political Activist Against Russian Authoritarianism
Playing chess, I learned the dramatic effect combining humans and machines. Humans have intuition, can recognise patterns and positions, and machines have brute-force of calculation and memory. By bringing these capabilities together in other walks of life, we can achieve incredible results.
— Garry KasparovWorld Chess Champion & Political Activist Against Russian Authoritarianism
Most people run around like biological robots, as if we are an algorithm not a being. We become the predictable outcomes of the conditioned reflexes of our nerves, constantly triggered by people in reaction to circumstances.
— Deepak ChopraWellness Entrepreneur & Author Promoting Mind-Body Medicine and Spirituality
We're heading to a world where we can eliminate disease, increase our intelligence, and access all the food, healthcare, energy and education we could desire.
— Peter DiamandisFounder of X Prize Foundation & Singularity University