221–230 of 472 posts
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Just time your exit correctly!
"This year I invested in pumpkins. They've been going up the whole month of October, and I've got a feeling they're going to peak right around January and BANG! That's when I'll cash in!" -Homer Simpson
Edit: I forgot, NASA trained astronaut!
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 know things keep moving faster and faster, especially in this space, but GPT-4 is less than a year old. Claiming they are losing their luster, because they aren’t shaking the earth with new models every quarter, seems a little ridiculous. As the popularity has exploded, and ethical questions have become increasingly relevant, it is probably worth taking some time to nail certain aspects down before releasing everyt…
Add to that a company environment that seems to be built on money-crazed stock option piling engineers and a CEO that seems to have gotten power-crazed.. I mean they grew far too fast I guess..
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I know things keep moving faster and faster, especially in this space, but GPT-4 is less than a year old. Claiming they are losing their luster, because they aren’t shaking the earth with new models every quarter, seems a little ridiculous. As the popularity has exploded, and ethical questions have become increasingly relevant, it is probably worth taking some time to nail certain aspects down before releasing everyt…
Given how fast the valuation of the company and the scope of their ambition (e.g. raising a trillion dollars for chip manufacturing) has been hyped up, I think it's fair to say "You live by the hype, you die by the hype."
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.
Transformers were invented with the support of Google (by the researchers, not by Google).
Open community has been creating better and better models with a group effort; like how ML works itself, it's way easier to try 100,000 ideas on a small scale than it is to try a couple of ideas on a large scale.
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> 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…
They seem to be steadily dumbing down GPT-4; eventually, improving performance of open source models and decreasing performance of GPT-4 will meet in the middle.
Initially it felt like the singularity was at hand. You've played with it, got to know it, the computer was taking to you, it was your friend, it was exciting then you got bored with your new friend and it wasn't as great as you remember it.
Dating is often like this. You meet someone, have some amazing intimacy, then you get really get to know someone, you work out it wasn't for you and it's time to move on.
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> 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…
They seem to be steadily dumbing down GPT-4; eventually, improving performance of open source models and decreasing performance of GPT-4 will meet in the middle.
If it's a conversation with "format this loose data into XML" repeated several times and then a "now format it to JSON" I find often it has trouble determing that what you just asked for is the most important; I think the attention model gets confused by all the preceding text.
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.
Nonsense. Anyone who regularly uses the top models knows that GPT-4 still leads by a clear margin
I've been anti-Google for a while now so I'm not biased.
I don't think openAI have this sown up.
In his free time, I hope he writes some more fiction, I really liked https://karpathy.github.io/2015/11/14/ai/
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.