Scott Aaronson at Shtetl-Optimized:
When Rafi invited me to open this event, it sounded like he wanted big-picture pontification more than technical results, which is just as well, since I’m getting old for the latter. Also, I’m just now getting back into quantum computing after a two-year leave at OpenAI to think about the theoretical foundations of AI safety. Luckily for me, that was a relaxing experience, since not much happened in AI these past two years. [Pause for laughs] So then, did anything happen in quantum computing while I was away?
This, of course, has been an extraordinary time for both quantum computing and AI, and not only because the two fields were mentioned for the first time in an American presidential debate (along with, I think, the problem of immigrants eating pets). But it’s extraordinary for quantum computing and for AI in very different ways. In AI, practice is wildly ahead of theory, and there’s a race for scientific understanding to catch up to where we’ve gotten via the pure scaling of neural nets and the compute and data used to train them. In quantum computing, it’s just the opposite: there’s right now a race for practice to catch up to where theory has been since the mid-1990s.
More here.
Enjoying the content on 3QD? Help keep us going by donating now.

It’s election season, which means a return to the quadrennial tradition of
My family has always served in the military. My father was one of six brothers. They all went to World War Two, each in a different service and theater, and all came home. I was around 10 when my brother-in-law was in Vietnam, which was impactful, and my sister was an Air Force nurse. I always wanted to follow their example and serve in the military and was passionate about serving the United States of America as part of something bigger than myself. Originally, I wanted to be a pilot, but I didn’t realize until I went to the military recruiter that I was colorblind, so I didn’t qualify for flight status as a pilot. However, I had gone through nursing school. So, I joined the Air Force as a nurse and was assessed into its aeromedical evacuation program, which is the long-range movement of patients. This program gave me opportunities to fly, see the world, and care for wounded, ill, or injured. After joining, I served around the globe: In Iraq in both Gulf Wars, Somalia during the 1990s, Afghanistan late in the Soviet invasion, demining missions in Vietnam and Cambodia, work in Central America, and the Global War on Terror around the world.
Since war broke out in the Gaza Strip almost a year ago, the official number of Palestinians killed exceeds 41,000. But this number has stoked controversy. Some researchers think it is an underestimate, owing to the difficulties of trying to count dead people during conflicts. Other sources say it overestimates the number of casualties. The count comes from the Palestinian Ministry of Health — Gaza, the main institution counting mortality in the region. It’s important to track fatalities during wars — and to estimate overall mortality — to hold warring parties accountable and to advocate for the protection of civilians, says Zeina Jamaluddine, an epidemiologist at the London School of Hygiene & Tropical Medicine. The number of deaths also informs discussions around when to officially declare that a situation involves famine.
All men are brothers.” (Women too, of course.) If asked to agree or disagree with this statement, taken in a normative sense, most people would agree. At the moment, Ukrainians might make an exception for Russians, and Israelis and Palestinians for one another—though even they, if they listened to the better angels of their nature, might come around.
A picture may be worth a thousand words, but how many numbers is a word worth? The question may sound silly, but it happens to be the foundation that underlies large language models, or LLMs — and through them, many modern applications of artificial intelligence.
T
W
P
T
I