The great transition and technological advancement we see. % years ago, it was just a dream, 3 years ago, everything seemed magical, and today AI is everywhere, which is far superior to no time
Three Years from GPT-3 to Gemini 3
181–190 of 336 posts
Re: Three Years from GPT-3 to Gemini 3
#182Earlier quoted context omitted.
Stochastic parrot? Autocomplete on steroids? Fancy autocorrect? Bullshit generator? AI snake oil? Statistical mimicry? You don't hear that anymore. Feels like whole generation of skeptics evaporated.
I certainly hold those opinions still, because the models still have yet to prove they are anything worth a person's time. I don't bother posting that because there's no way an AI hype person and I are ever going to convince each other, so what's the point? The skeptics haven't evaporated, they just aren't bothering to try to talk to you any more because they don't think there's value in it.
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Re: Three Years from GPT-3 to Gemini 3
#183Every time I see an article like this, it's always missing --- but is it any good, is it correct? They always show you the part that is impressive - "it walked the tricky tightrope of figuring out what might be an interesting topic and how to execute it with the data it had - one of the hardest things to teach." Then it goes on, "After a couple of vague commands (“build it out more, make it better”) I got a 14 page p…
For what it's worth I have been using Gemini 2.5/3 extensively for my masters thesis and it has been a tremendous help. It's done a lot of math for me that I couldn't have done on my own (without days of research), suggested many good approaches to problems that weren't on my mind and helped me explore ideas quickly. When I ask it to generate entire chapters they're never up to my standard but that's mostly an issue…
> It's done a lot of math for me that I couldn't have done on my own (without days of research),
Isn't the point of doing the master's thesis that you do the math and research, so that you learn and understand the math and research?
Re: Three Years from GPT-3 to Gemini 3
#184Every time I see an article like this, it's always missing --- but is it any good, is it correct? They always show you the part that is impressive - "it walked the tricky tightrope of figuring out what might be an interesting topic and how to execute it with the data it had - one of the hardest things to teach." Then it goes on, "After a couple of vague commands (“build it out more, make it better”) I got a 14 page p…
You don't use it that way. You use it to help you build and run experiments, and help you discuss your findings, and in the end helps you write your discoveries. You provide the content, and actual experiments provide the signal.
Re: Three Years from GPT-3 to Gemini 3
#185Earlier quoted context omitted.
Have you tried Gemini 3 yet? I haven't done any coding with it, but on other tasks I've been impressed compared to gpt 5 and Sonnet 4.5.
The computer science field is going to be an absolute shitshow within 5 years (it already kinda is). On one side you'll have ADHD dog attention span zoomers trying out all these nth party model apis and tools every 5 seconds (switching them like socks, insisting the latest one is better, but ultimately producing the same slop) and on the other side you'll have all these applied math gurus squeezing out the last bits…
The worst part is when the AI spits out dogshit results --people show up at lightspeed in the comments to say how "you're not using it right" / "try this other model, it's better"
Anecdotally, the people I see the most excited about AI are the people that don't do any fucking work. I can create a lot of value with plain ol' for loop style automation in my niche. We're stil nowhere near the limit of what we can do with automation, that I don't give a fuck about what AI can do. Bruh in windows 10 copy and fuckin paste doesn't work for me anymore, but instead of fixing that they're adding AI
Re: Three Years from GPT-3 to Gemini 3
#186Earlier quoted context omitted.
Have you tried Gemini 3 yet? I haven't done any coding with it, but on other tasks I've been impressed compared to gpt 5 and Sonnet 4.5.
The computer science field is going to be an absolute shitshow within 5 years (it already kinda is). On one side you'll have ADHD dog attention span zoomers trying out all these nth party model apis and tools every 5 seconds (switching them like socks, insisting the latest one is better, but ultimately producing the same slop) and on the other side you'll have all these applied math gurus squeezing out the last bits…
I don't see a big difference to humans, we are saying many unreasonable things too, validation is necessary. If you use internet, books or AI it is your job to test their validity. Anything can be bullshit, written by human or AI.
In fact I fear the humans optimize for attention and cater to the feed ranking Algorithm too much, while AI is at least trying to do a decent job. But with AI it is the responsibility of the user to guide it, what AI does depends on what the user does.
Re: Three Years from GPT-3 to Gemini 3
#187Every time I see an article like this, it's always missing --- but is it any good, is it correct? They always show you the part that is impressive - "it walked the tricky tightrope of figuring out what might be an interesting topic and how to execute it with the data it had - one of the hardest things to teach." Then it goes on, "After a couple of vague commands (“build it out more, make it better”) I got a 14 page p…
You don't use it that way. You use it to help you build and run experiments, and help you discuss your findings, and in the end helps you write your discoveries. You provide the content, and actual experiments provide the signal.
Like clockwork. Each time someone criticizes any aspect of any LLM there's always someone to tell that person they're using the LLM wrong. Perhaps it's time to stop blaming the user?
Re: Three Years from GPT-3 to Gemini 3
#188It is interesting that most of our modes of interaction with AI is still just textboxes. The only big UX change in that the last three years has been the introduction of the Claude Code / OpenAI Codex tools. They feel amazing to use, like you're working with another independent mind. I am curious what the user interfaces of AI in the future will be, I think whoever can crack that will create immense value.
Personally I find the information density of text to be the "killer feature". I've tried voice interaction (even built some AI Voice Agents) and while they are very powerful, easy to use and just plain cool, they are also slow.
Nothing beats skimming over a generated text response and just picking out chunks of text, going back and forth, rereading, etc.
Text is also universal, I can't copy-paste a voice response to another application/interface or iterate over it.
My personal view is that the search for a better AI User Interface is just the further dumbing down of the humans who use these interface. Another comment mentioned that the most popular platforms are people pointing fingers at pictures and without a similar UI/UX AI would never reach such adoption rates, but is that what we want? Monkeys pointing at colorful picture blobs?
Re: Three Years from GPT-3 to Gemini 3
#189Earlier quoted context omitted.
The computer science field is going to be an absolute shitshow within 5 years (it already kinda is). On one side you'll have ADHD dog attention span zoomers trying out all these nth party model apis and tools every 5 seconds (switching them like socks, insisting the latest one is better, but ultimately producing the same slop) and on the other side you'll have all these applied math gurus squeezing out the last bits…
The worst part is when the AI spits out dogshit results --people show up at lightspeed in the comments to say how "you're not using it right" / "try this other model, it's better" Anecdotally, the people I see the most excited about AI are the people that don't do any fucking work. I can create a lot of value with plain ol' for loop style automation in my niche. We're stil nowhere near the limit of what we can do wit…
The only people I see complaining about AI are those that have the most to lose.
Re: Three Years from GPT-3 to Gemini 3
#190Earlier quoted context omitted.
I certainly hold those opinions still, because the models still have yet to prove they are anything worth a person's time. I don't bother posting that because there's no way an AI hype person and I are ever going to convince each other, so what's the point? The skeptics haven't evaporated, they just aren't bothering to try to talk to you any more because they don't think there's value in it.
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The earth is flat until you have evidence of the contrary. It's you who should provide that evidence. We had physics, navigation and then space shuttles that clearly showed the earth is not flat.
We are yet to have a fully vibe-coded piece of software that actually works. The blog post is actually great because LLMs are very good are regurgitating pieces of code that already exist on a single prompt. Now ask them to make a few changes and suddenly the genie is back in the bottle.
Something doesn't math out. You can't be both a genius and extremely dumb (retarded) at the same time. You can be, however, good at information retrieval and presenting it in a better way. That's what LLMs are and am not discounting the usefulness of that.