201–210 of 472 posts
Frankly, OpenAI seems to be losing its luster, and fast. Plugins were a failure. GPTs are a little better, but I still don't see the product market fit. GPT-4 is still king, but not by that much any more. It's not even clear that they're doing great research, because they don't publish. GPT-5 has to be incredibly good at this point, and I'm not sure that it will be.
Googlers are wishing OpenAI could vanish as it makes them look like the IBM-lookalike they are. Here are some hilarious highlights: https://twitter.com/Suhail/status/1757573182138290284
Frankly, OpenAI seems to be losing its luster, and fast. Plugins were a failure. GPTs are a little better, but I still don't see the product market fit. GPT-4 is still king, but not by that much any more. It's not even clear that they're doing great research, because they don't publish. GPT-5 has to be incredibly good at this point, and I'm not sure that it will be.
I think OpenAI will do fine, but I have doubts about ChatGPT as a product. It’s just a chat UI, and I’m not convinced the UI will be chat 3 years from now. Personally, the chat UI is the main limiting factor in my own adoption, because a) it’s not in the tool I’m trying to use, and b) it’s quicker for me to do the work than describe the work I need doing.
I'm not particularly interested in having it outright program for me (other than say to sketch how to do something as inspiration, which I'll rewrite rather than copy) because I think typically I'd want to do it a certain way and it would take far longer to NLP an LLM to write it in whatever syntax than to WhateverSyntaxProgram it myself.
Frankly, OpenAI seems to be losing its luster, and fast. Plugins were a failure. GPTs are a little better, but I still don't see the product market fit. GPT-4 is still king, but not by that much any more. It's not even clear that they're doing great research, because they don't publish. GPT-5 has to be incredibly good at this point, and I'm not sure that it will be.
I could understand the sentiment when you think that OpenAI is really doubling down just on LLMs recently, and forgoing a ton of research in other fronts.
They’re rapidly iterating though, and it’s refreshing to see them try a bunch of new things so quickly while every other company is comparatively slow to release anything.
Earlier quoted context omitted.
Who cares about speed if you’re wrong? This isn’t a race to write the most lines of code or the most lines of text. It’s a race to write the most correct lines of code. I’ll wait half an hour for a response if I know I’m getting at least staff engineer level tier of code for every question
That’s the correct answer. Years ago I worked on inference efficiency on edge hardware at a startup. Time after time I saw that users vastly prefer slower, but more accurate and robust systems. Put succinctly: nobody cares how quick a model is if it doesn’t do a good job. Another thing I discovered is it can be very difficult to convince software engineers of this obvious fact.
Also, all the evidence is in this thread. Clearly people unhappy with wasting time on LLMs, when the time that was wasted was the result of obviously bad output.
Earlier quoted context omitted.
Honestly I have more faith in hacker news users than congress.
I wish more of us would run for Congress. I'd much rather have a government of technocrats of various stripes than ex lawyers and rich business types. IMO governments, like websites, should be boring but effective, focused on small day to day improvements, not all flash and empty marketing chasing cultural trends...
But try convincing a democracy that politicians should be paid more.
Unpopular opinion… but IMO almost all of Karpathy’s fame an influence come from being an incredible educator and communicator. Relative to his level of fame, his actual level of contribution as far as pushing forward AI, I’m not so sure about. I deeply appreciate his educational content and I’m glad that it has led to a way for him to gain influence and sustain a career. Hopefully he’s rich enough from that that he c…
In 2015 he wrote this blog post about "The Unreasonable Effectiveness of Recurrent Neural Networks": https://karpathy.github.io/2015/05/21/rnn-effectiveness/ That blog post inspired Alec Radford at Open AI to do the research that produced the "Unsupervised sentiment neuron": https://openai.com/research/unsupervised-sentiment-neuron Open AI decided to see what happened if they scaled up that model by leveraging the ne…
Frankly, OpenAI seems to be losing its luster, and fast. Plugins were a failure. GPTs are a little better, but I still don't see the product market fit. GPT-4 is still king, but not by that much any more. It's not even clear that they're doing great research, because they don't publish. GPT-5 has to be incredibly good at this point, and I'm not sure that it will be.
> GPT-4 is still king, but not by that much any more Idk, I just tried Gemini Ultra and it's so much worse than GPT4 that I am actually quite shocked. Trying to ask it any kind of coding question ends up being this frustrating and honestly bizarre waste of time as it hallucinates a whole new language syntax every time and then asks if you want to continue with non-working, in fact non-existing, option A or the equall…