Фото: Shatokhina Natalia / Globallookpress.com
“First to market is worth a lot,” Altman says finally. “We had that with ChatGPT.” But the time is right for OpenAI to lean into coding, he says. He thinks the company’s AI models are now good enough to power very capable coding agents. (Of course, the company spent billions training them to be that way.) “It's going to be a huge business—just the economic value of it, and then also the general-purpose work that coding can unlock,” Altman says. “I don't throw this around lightly, but I think it's one of these rare multitrillion-dollar markets.” What’s more, he says, Codex is “probably the most likely path” to building artificial general intelligence. By OpenAI’s definition, that’s an AI system that can outperform humans at most economically valuable work.
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Case study: my thesis. To make some of this discussion more concrete I wanted to use the example of how my own PhD unfolded. First, fun fact: my entire thesis is based on work I did in the last 1.5 years of my PhD. i.e. it took me quite a long time to wiggle around in the metaproblem space and find a problem that I felt very excited to work on (the other ~2 years I mostly meandered on 3D things (e.g. Kinect Fusion, 3D meshes, point cloud features) and video things). Then at one point in my 3rd year I randomly stopped by Richard Socher’s office on some Saturday at 2am. We had a chat about interesting problems and I realized that some of his work on images and language was in fact getting at something very interesting (of course, the area at the intersection of images and language goes back quite a lot further than Richard as well). I couldn’t quite see all the papers that would follow but it seemed heuristically very promising: it was highly fertile (a lot of unsolved problems, a lot of interesting possibilities on grounding descriptions to images), I felt that it was very cool and important, it was easy to explain, it seemed to be at the boundary of possible (Deep Learning has just started to work), the datasets had just started to become available (Flickr8K had just come out), it fit nicely into Fei-Fei’s interests and even if I were not successful I’d at least get lots of practice with optimizing interesting deep nets that I could reapply elsewhere. I had a strong feeling of a tsunami of checkmarks as everything clicked in place in my mind. I pitched this to Fei-Fei (my adviser) as an area to dive into the next day and, with relief, she enthusiastically approved, encouraged me, and would later go on to steer me within the space (e.g. Fei-Fei insisted that I do image to sentence generation while I was mostly content with ranking.). I’m happy with how things evolved from there. In short, I meandered around for 2 years stuck around the outer loop, finding something to dive into. Once it clicked for me what that was based on several heuristics, I dug in.，更多细节参见手游
第十七篇 坚持和完善“一国两制” 推进祖国统一