I've been using ChatGPT for similar visual recognition things. Recently I took a video of a car because I really liked its color. I upladed the video to ChatGPT and asked to extract which paint color I'd need to specify to a modding garage to put a foil on my car. ChatGPT really impressed me, extracted a screenshot, did a color analysis of the paint, found the palettes from paint vendors and found for me the exact paint code to tell the garage. I was speechless.
>It was more like handholding a fresh grad who had absorbed all of human knowledge but needed someone to tie various parts of that knowledge to create something useful.
I experiment every so often with ChatGPT, usually having it create a simple multiplayer browser-based app with a server-side backend. The most recent being a collaborative pixel art app similar to /r/place.
Usually by the time ChatGPT generates something that actually works, after some guidance and generally minimal code edits (usually due to its context loss), I could've written a far more optimized version myself. Its capabilities are still extremely impressive nonetheless and I look forward to future iterations of this technology. Super nice tool to have for mundane code generation and it'll only get better.
Really wish I could use anything like this at work to generate tests... it's really good at that.
The date of the merge has been known for sometime, so the price increase has been mostkly priced in the previous weeks (see recent pumps). Unfortunately the recent US CPI info release has sent the markets (including crypto ones) into a frenzy. In any case I am optimistic that the price of Eth will explode once the better part of this "recession" is behind us.
Makes sense. The bit I didn't understand was that presumably there was uncertainty around whether the merge would be successful. But perhaps there still is, or like you say, the CPI info release has obscured things.
I mean, can a x10 engineer read and update the docs too or is that only for the 1xs? I too am not too sure about many points in this list ... and also the point this page is trying to make.
We are all average engineers in the end, there's always someone more productive, with more experience, with more dedication, with more energy ... somewhere in your organisation. As long as the organisation can keep a learning and collaborative environment and the assholes at the door, I welcome as many 10x engineers as they will fit the room. But then if all your peers are 10x engineers ... they become 1xs ?
Is there a sense that LCZero will eventually catch up to the top traditional contenders like Stockfish, it is there a possibility of a bottleneck with the machine learning?
I would argue that the Alpha Zero algorithm does well at learning chess via self play to get to a master level, but the high level chess engines are super-optimized for their specific domain problem and so will remain out of reach.
Leela and AlphaZero are already comfortable beyond master level and into the 3200s in ELO terms, at least. As for the best engines today (who I've no doubt we'll see win out at TCEC - Wasp has already been holding its own in division 4) I think they're super optimized on one axis - search, but not optimized very much (in the grand scheme of things) on the other - evaluation.
AlphaZero and LCZero show have orders of magnitude better evaluation is available and can go toe to toe with existing engines despite radically fewer nodes searched. I wouldn't be surprised however, after this current generation of NNs get good, if the traiditional Alpha-Beta engines can't encode _some_ of the more subtle positional knowledge they've picked up, in a way that works quickly with their current architectures.
And I expect the flip side is also true - radically better hardware and algorithms for both training and executing neural networks. Even after that, I think there’s a huge gap in the market for a system that not only sees tactics deeply and had an almost flawless positional sense, but can explain and train humans in what it sees.
You expressed my exact thoughts and I was about to link to the same insightful article. I guess my comment could've been shortened as a silent upvote, but I commented anyway.
