Earlier quoted context omitted.
Only a tiny bit, but I should. When you say GPT-5, do you mean 5.1? Codex or regular?
Sorry, yeah, 5.1 regular chatbot.
Ahh, try 5.1 Codex (with codex cli), it's much better, I've found.
Three Years from GPT-3 to Gemini 3
191–200 of 336 posts
Re: Three Years from GPT-3 to Gemini 3
#192I start to genuinely wonder where the place for us humans are in this. All I see is human beings being crowded out. Capital via LLMs taking the place of humans.
Re: Three Years from GPT-3 to Gemini 3
#193Earlier 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…
LLMs help a lot of users with making FOR loops and things like that. At least it's been the case for me, I'd never tried to use PowerShell before but with a bit of LLM guidance was able to cobble together some useful (for me) one-liner commands to do things like "use this CSV of file names and pixel locations, and make cropped PNG thumbnails of these locations from these images".
Stuff like that which regular users often do by hand, they can ask an LLM for the command (usually just a few lines of a scripting language if they only know the magic words to use).
Re: Three Years from GPT-3 to Gemini 3
#194Earlier quoted context omitted.
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?
You can recognise that the technology has a poor user interface and is wrought with subtleties without denying its underlying capabilities. People misuse good technology all the time. It's kind of what users do. I would not expect a radically new form of computing which is under five years old to be intuitive to most people.
Re: Three Years from GPT-3 to Gemini 3
#195Earlier quoted context omitted.
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?
If someone says that they can't get a camera to work, you tell them how to fix it, right? I can't think of what other response is appropriate.
Re: Three Years from GPT-3 to Gemini 3
#196Earlier 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…
Completely disagree, what i see agentic coding agents do in combination with LLMs is seriously mind-blowing. I don't care how much knowledge is compressed into an LLM. What is way more interesting is what it does when it misses some knowledge. I see it come up with a plan to create the knowledge by running an experiment (running a script, sometimes asking me to run a script or try something), evaluating the output, and then replan based on the output. Full Plan-Do-Check-Act. Finding answers systematically to things you don't know is way more impressive than remembering lots of stuff.
Re: Three Years from GPT-3 to Gemini 3
#197I was never an AI guy. I have always had a healthy dose of suspicion towards it. A week ago I decided to try it. I had ported the lovely c-rrb library, and was pretty satisfied with the result. However, when I was done with the basic port I have Gemini a go, and the result was an almost 3x speed increase for some basic fundamental operations. And a lot less memory use.
It did introduce bugs that it couldnt solve, but with a debugger it wasnt that hard to pin it down.
Re: Three Years from GPT-3 to Gemini 3
#198Earlier quoted context omitted.
For one, I can't even understand this part: > I don't know if it represents research as a field would not be immune to advances in AI tech And then there's the opinion that for some reason we should 'value' manual labor over using AI, which seems rather disagreeable.
> For one, I can't even understand this part: Let me explain. My belief was that research as a task is non-trivial and would have been relatively out of reach for AI. Given the advances, that doesn't seem to be true. > And then there's the opinion that for some reason we should 'value' manual labor over using AI, which seems rather disagreeable. Could you explain why? I'm specifically talking about research. Of cours…
They way it was stated it appeared to me like "we should do research the heavy way even if the machine gives us the right answer", or that we should value research only if it was accomplished manually.
I guess there are many ways to interpret the comment, with a lot of potential for disagreement.
Re: Three Years from GPT-3 to Gemini 3
#199Earlier 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…
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 th…
There are some major differences though. Without using these tools, individual are pretty limited in how much bullshit they can output for many reasons, including they are not mere digital puppet without need to survive in society.
It’s clear pro-slavery-minded elitists are happy to sell the speech that people should become "good complement to AI", that is even more disposable as this puppets. But unlike this mindless entities, people have will to survive deeply engraved as primary behavior.
Re: Three Years from GPT-3 to Gemini 3
#200Earlier quoted context omitted.
The thing is that the world is already flooded by software, games, websites, everyone is just battling for attention. The demand for developers cannot rise if consumers have a limited amount of money and time anyways.
Not everything is entertainment. Some software is useful, but buggy or poorly designed. Yesterday, I was using a slow and poorly organized web app with a fantastic public-facing API server. In one day, I vibe coded an app to provide me with a custom frontend for a use case I cared about, faster and better organized than the official app, and I deployed it to cloud "Serverless" hosting. It used a NodeJS framework and…
If it's a React frontend, unless it put __dangerouslySetInnerHtml in there to render HTML received from the API, the frontend is likely going to be perfectly secure.