That would be nice. Catch the first wave, get out after the drop and jump back in to ride it back up. Unfortunately, I’m not a rich man. You have equity in any companies?
A lot of their staff will be finished with needing to make any money ever again in their lives if they IPO.
But that will also throw OpenAI into the public sphere of needing to make money quarter after quarter forever, which inevitably leads to them sucking and no longer being innovative. Actually OpenAI is already teetering on this already as others are catching up. Sam and other top guys will leave because they hate people telling them what to do and don’t need it.
Facebook and Deepseek are literally giving it away for free now to kill the competition and in some areas other competitors are producing better products already.
It’s a weird space. I used to think we were on the verge of entering a whole new era of technology but now I think it’s going to be muted. Perhaps AI (as we know it now) eased some tasks and eliminated some BS stuff that used to waste our time, but we’ve not yet completely eliminated most professional jobs - if anything I think we just added more for them to learn and do to remain competitive.
There are surprisingly few customer-facing tasks that don’t require accuracy and truthfulness. LLM-style AI cannot guarantee either. So the only AI-enshittification options that are really available are at organizations who don’t give a shit about their customers (e.g., Republican-led governments), fraudsters, or the replacement of humans in doing unimportant tasks (which a sensible business would just stop doing altogether).
Just curious if you’re a developer or using LLMs often.
I like Anthropic’s sonnet 3.7 model for agent and code related tasks more than the Open AI models at the moment.
Deepseek and LLama can be run offline, which is great for certain uses especially the aforementioned BS tasks that can perhaps burn through API tokens. Quality of output doesn’t match the top models but this is second to privacy for many.
Not sure where things are at with Dall-E 3 image generation but the last time I was looking it seemed like Stable Diffusion has gotten damn good and is extensible in ways that dall-e is not.
Voice recognition, and TTS output w/emotion OpenAI has the best I’ve ever heard.
Image recognition openAI might lead but the llama4 multimodal stuff is pretty awesome
Anyways I’m just some rando but my observation is that OpenAI better get on that IPO fast unless they have some magic in the pipeline because they are being attacked by competent solutions from every side in a niche that is showing diminshing promise to change everything the father we go.
Just watched a podcast with Zuck where he contested model benchmarking because the versions of Llama they’ve put out were tuned for the consumer’s use cases.
Interesting. I can buy that idea, a model that’s designed to be general and answer all questions is going to have to make compromises in a lot of ways.
So it’s possible that model benchmarking needs to be revised in some way to give more useful analysis of its capabilities.
The industry is quickly moving towards using agents, MCP connections (sources of real-time data for the model to pull from, and apis that allow the model to perform tasks, like putting things on a calendar), and RAGs (augmentation with sources of truth, such as a 100 page pdf guide for example), and models that seem to be more aware that they can get data from other sources.
The future might become specialized models all the way down.
Just today I’m playing with “vibe coding” and using one agent as an orchestrator that assigns and monitors tasks to other agents. The result is still slightly bullshit code but it’s amusing to watch it work. Not sure yet if this is a strategy to spend all my money through API fees or will result in something useful 😂
Yeah I think each company will have models specializing in certain things until we have to computing power to federate all models together, and/or ASI. Then we’d probably destroy the environment.
Agents seem to be the hot use case right now and it makes sense. Downsize your workforce or free them up by assigning simple, low risk tasks to agents. I don’t code much so I’ll be happy when creating them through prompts actually gets what you wants. I know enough to have GPT’s create code for me to plug in for now.
I’ve heard of vibe coding but in the context of being able to identify music that fits a “vibe”. What are you talking about?
I’ve heard of vibe coding but in the context of being able to identify music that fits a “vibe”. What are you talking about?
This is when you give some LLM a prompt such as “write a game like Minecraft except cooler” and the system will output some code that might run and might vaguely resemble a block game.
So then you go back ask for more, it does something to the code potentially improving or breaking it, go back again ask for more, and repeat over and over. I’m being a little bit sarcastic because most serious developers look down on this, but really this is how a lot of coding is happening these days. There are tools to make this process somewhat usable and they are getting better every day.
Oh for sure that’s how I code these days. I tell ChatGPT what I want, get some code, plug it in, come back with bugs, get new code until I can either tweak it myself and/or I’ve accomplished what I needed.
I’m a user. Not a python dev. I mess with low-code/no-code stuff for now.
Anthropic is good for coding, but I think it lags way behind competition on everything else.
Deepseek is Chinese so if privacy is a concern I’d be careful.
I’m honestly not familiar with Llama, except I know the model John Snow Labs built off it for Medicare is ranking top right now in HuggingFace benchmarking.
Everybody will eventually catch up and tech will plateau for a bit, so there will be tight competition, but everybody knows ChatGPT right now.
Have you used Apple’s AI tools? I’m curious if they’ll gain market share as more people have it integrated into their phones and stop using ChatGPT.
It’s a weird space. I used to think we were on the verge of entering a whole new era of technology but now I think it’s going to be muted. Perhaps AI (as we know it now) eased some tasks and eliminated some BS stuff that used to waste our time, but we’ve not yet completely eliminated most professional jobs - if anything I think we just added more for them to learn and do to remain competitive.
Not saying anything about records. I think it’ll be a solid stock until the bubble, but they have first to market advantage. I think it’ll be a good long term investment. You think otherwise?
Honestly can’t wait for this IPO. I’ll take all your downvotes.
Are you an insider? Or why exactly are you waiting for their IPO?
What do you mean insider? Just been waiting to invest.
…in OpenAI? lol
A fool an his money are soon parted, indeed
Please elaborate. Could probably make some money initially and then get out before they cash out.
It remains to be seen whether its IPO will have good margins or break records that catapult it into the S&P 500 and Dow Jones.
401k pensions will depend on an AI company and if it goes bankrupt, pensions will be affected.
Ah I see. I thought you had equity and wanted to cash out during the IPO.
That would be nice. Catch the first wave, get out after the drop and jump back in to ride it back up. Unfortunately, I’m not a rich man. You have equity in any companies?
Just some super basic index stuff. Day trading style strategies is not my type of thing.
Day trading is a losing game for the little guys
Day trading, like compulsive gambling, is a sign of innumeracy coupled with self-sabotaging behavior.
A lot of their staff will be finished with needing to make any money ever again in their lives if they IPO.
But that will also throw OpenAI into the public sphere of needing to make money quarter after quarter forever, which inevitably leads to them sucking and no longer being innovative. Actually OpenAI is already teetering on this already as others are catching up. Sam and other top guys will leave because they hate people telling them what to do and don’t need it.
Facebook and Deepseek are literally giving it away for free now to kill the competition and in some areas other competitors are producing better products already.
It’s a weird space. I used to think we were on the verge of entering a whole new era of technology but now I think it’s going to be muted. Perhaps AI (as we know it now) eased some tasks and eliminated some BS stuff that used to waste our time, but we’ve not yet completely eliminated most professional jobs - if anything I think we just added more for them to learn and do to remain competitive.
There are surprisingly few customer-facing tasks that don’t require accuracy and truthfulness. LLM-style AI cannot guarantee either. So the only AI-enshittification options that are really available are at organizations who don’t give a shit about their customers (e.g., Republican-led governments), fraudsters, or the replacement of humans in doing unimportant tasks (which a sensible business would just stop doing altogether).
People will cash out for sure. Maybe they’ll just jump ship and start another company. I guess that makes sense.
I have to disagree that other GPT’s are anywhere near the newest ChatGPT models.
I do agree AI is not the workforce eliminator that everybody on Lemmy is pissing their pants about.
Just curious if you’re a developer or using LLMs often.
I like Anthropic’s sonnet 3.7 model for agent and code related tasks more than the Open AI models at the moment.
Deepseek and LLama can be run offline, which is great for certain uses especially the aforementioned BS tasks that can perhaps burn through API tokens. Quality of output doesn’t match the top models but this is second to privacy for many.
Not sure where things are at with Dall-E 3 image generation but the last time I was looking it seemed like Stable Diffusion has gotten damn good and is extensible in ways that dall-e is not.
Voice recognition, and TTS output w/emotion OpenAI has the best I’ve ever heard.
Image recognition openAI might lead but the llama4 multimodal stuff is pretty awesome
Anyways I’m just some rando but my observation is that OpenAI better get on that IPO fast unless they have some magic in the pipeline because they are being attacked by competent solutions from every side in a niche that is showing diminshing promise to change everything the father we go.
Just watched a podcast with Zuck where he contested model benchmarking because the versions of Llama they’ve put out were tuned for the consumer’s use cases.
Interesting. I can buy that idea, a model that’s designed to be general and answer all questions is going to have to make compromises in a lot of ways.
So it’s possible that model benchmarking needs to be revised in some way to give more useful analysis of its capabilities.
The industry is quickly moving towards using agents, MCP connections (sources of real-time data for the model to pull from, and apis that allow the model to perform tasks, like putting things on a calendar), and RAGs (augmentation with sources of truth, such as a 100 page pdf guide for example), and models that seem to be more aware that they can get data from other sources.
The future might become specialized models all the way down.
Just today I’m playing with “vibe coding” and using one agent as an orchestrator that assigns and monitors tasks to other agents. The result is still slightly bullshit code but it’s amusing to watch it work. Not sure yet if this is a strategy to spend all my money through API fees or will result in something useful 😂
Yeah I think each company will have models specializing in certain things until we have to computing power to federate all models together, and/or ASI. Then we’d probably destroy the environment.
Agents seem to be the hot use case right now and it makes sense. Downsize your workforce or free them up by assigning simple, low risk tasks to agents. I don’t code much so I’ll be happy when creating them through prompts actually gets what you wants. I know enough to have GPT’s create code for me to plug in for now.
I’ve heard of vibe coding but in the context of being able to identify music that fits a “vibe”. What are you talking about?
This is when you give some LLM a prompt such as “write a game like Minecraft except cooler” and the system will output some code that might run and might vaguely resemble a block game.
So then you go back ask for more, it does something to the code potentially improving or breaking it, go back again ask for more, and repeat over and over. I’m being a little bit sarcastic because most serious developers look down on this, but really this is how a lot of coding is happening these days. There are tools to make this process somewhat usable and they are getting better every day.
Oh for sure that’s how I code these days. I tell ChatGPT what I want, get some code, plug it in, come back with bugs, get new code until I can either tweak it myself and/or I’ve accomplished what I needed.
I’m a user. Not a python dev. I mess with low-code/no-code stuff for now.
Anthropic is good for coding, but I think it lags way behind competition on everything else.
Deepseek is Chinese so if privacy is a concern I’d be careful.
I’m honestly not familiar with Llama, except I know the model John Snow Labs built off it for Medicare is ranking top right now in HuggingFace benchmarking.
Everybody will eventually catch up and tech will plateau for a bit, so there will be tight competition, but everybody knows ChatGPT right now.
Have you used Apple’s AI tools? I’m curious if they’ll gain market share as more people have it integrated into their phones and stop using ChatGPT.
How could anyone have predicted this outcome!?
Do you think OpenAI will break IPO records?
Ask ChatGPT.
Not saying anything about records. I think it’ll be a solid stock until the bubble, but they have first to market advantage. I think it’ll be a good long term investment. You think otherwise?
Hey, I have a roaring dumpsterfire of money over here, would you like to invest in this one too?
You think OpenAI is a roaring dumpster fire? Why?
Sam Altman exhibit A?
Is he not a good businessperson? Worse than Elon?
Nah he is actually pretty good, almost as good as Elizabeth Holmes!
You’re saying he’s committing fraud?