So I would not "declare AGI" until we have AI that is, at last, capable of invention -- conceptual breakthroughs, novel insights, new real-world technology, etc.
when you can basically bridge the concept of an avocado and a chair and show that you kind of can combine those two, it means that the model has at least some kind of conceptual understanding of what an avocado is and what a chair is to the point that it can combine them into something that exhibits both concepts at the same time.
essentially every cultural attribute that we celebrate – from human rights, to logic, to progress, to the very notion of an independent self – are conceptual children born from the mind-shaping power of the written word.
There are many forces online that want to cast every movie into their pet topic and I find that deeply reduces the immersion and experience from watching a piece of cinema for the first time.
That’s why we’re launching the Preliminary Report of the Independent International Scientific Panel on AI — an initial evidence-based assessment of the current state of AI science — to help the public and policymakers better understand the unprecedented moment we’re in.
Today’s best AI systems are good enough that they’re now inside the fuzzy conceptual cloud of “AGI-ish”: that is, they’ve surpassed some people’s definitions of AGI, while falling well short of others’.
players who are also commentators give better commentary than people who are just commentators. Stock analysts who never invest have zero skin in the game.
Basically what that gives you is like you can apply a lot of theoretical sort of um a lot of theoretical toolkit used in physics to model parts of this question in ways that are actually useful. And it is just not true that you can use like equations from physics to think usefully about almost any other problem in biology.
and I think most people experience it as like flat triangles and squares in a biology textbook where it's like you know there's an arrow between like this triangle and this triangle is just like doesn't make any conceptual sense and is like confusing and annoying
There is something deeply satisfying with reading out loud phrases like: “for in mere breath did it come, and into darkness it goes, and in darkness its name is covered.” Though King James is iconic, Robert Alter better conveys overall the literary power of the Hebrew Bible.
My model is that research requires a mix of skills. The day-to-day coding and execution is crucial. But there's also a set of harder-to-learn conceptual skills, collectively called research taste. These skills take a long time to gain because they have poor feedback loops, but they take very little time to use.
The state-of-the-art today can be more accurately described as "last-minute, black-box product testing" rather than auditing, and I think this situation threatens public safety, international stability, and sustainable commercial adoption of AI.
Longtime tech reporter Matt Lynley offers an uncommonly technical assessment of new AI developments in his newsletter Supervised. Original reporting and a fast cadence help this one stand out from other AI newsletters.
After years of people recommending him to me, I finally took the plunge into the literary world of Wendell Berry. Now I can't help but wonder what took me so long. This 2018 collection of Berry's best essays is a fantastic introduction into his genre-defining polemic style, which mixes razor-sharp commentary with a poetry grounded in lived experience, to argue on behalf of land, the environment, and a slower, richer approach to life.
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