OpenAI is the pure bullshit company.
Altman's contention that they are building "artificial superintelligence": Bullshit.
Board members' cult of effective altruism: Bullshit.
Output from the machine: Bullshit.
It's all hallucinations: Pure bullshit.
@jeffjarvis there products ChatGPT and GPT4 are doing fine in the market however
@ErikJonker @jeffjarvis that doesnt mean it's not bullshit.
@f4grx @jeffjarvis ... it's problematic, risky, not useful in every context, but GPT4 is not bullshit, i have been experimenting with it myself, it has added value in certain contexts and if you know what you are doing
@ErikJonker @jeffjarvis how much do you like that these tools are just rehashing knowledge stolen from other parts of the web? As "useful" as it could be this tool has the worst ethics base in the world.
@f4grx @jeffjarvis ..we agree that there are big problems and risks, but the whole reasoning GPT4 is all bullshit i don't agree with.
@ErikJonker @f4grx @jeffjarvis Taken as a whole, the "AI" industry is bullshit. ChatGPT4 might be useful for whatever edge cases you find useful, but the idea that these parasites are ushering in some kind of golden age of intelligent computers doing everything for us is *bullshit*.
I'm sick of rich fucks telling the rest of us how much better everything will be thanks to them, while flushing 90% of the population down the toilet for a profitable quarter.
@knightlie @ErikJonker @f4grx @jeffjarvis So it sounds like you're actually mad at marketing and garden-variety businessmen, not LLM tech.
@LouisIngenthron @ErikJonker @f4grx @jeffjarvis I mean, the tech doesn’t matter. NFTs were last last huge grift that was supposed to be The Future.
@knightlie @ErikJonker @f4grx @jeffjarvis Right, but they were bullshit even at the tech level. LLMs do have actual revolutionary uses, even if marketing is currently overselling those uses.
@LouisIngenthron @ErikJonker @f4grx @jeffjarvis Care to name them? Autocorrect doesn’t count.
@knightlie @ErikJonker @f4grx @jeffjarvis
I use it for software engineering; it's able to fill in entire functions that would have been relatively simple, but very tedious, for me to do.
LLMs are also amazing at teaching you a new skill for which you already have some domain knowledge. I.e. I used an LLM to help me learn enough python to build and train my own LLMs in less than two days. Now, I needed the domain knowledge to recognize when the LLM was wrong, but it still vastly accelerated my learning.
The LLM I trained was used to identify certain types of materials from a web crawler. This kind of tool would be incredibly useful to researchers, by helping them narrow down an endless volume of data into a smaller manageable subset of "likely relevant" data.
On top of that, I can't say too much about this, but I work with a company that makes medical simulators for training surgeons, and we're using ML to help identify and generate information for training purposes.
Then there's the generative image AI. I'm a shitty artist, so when I'm prototyping games, these allow me to add it placeholder graphics that aren't pure shit. If the game idea proves viable, then I can invest to pay an actual artist to replace them before launch. The lack of shitty programmer art helps me stay motivated and excited about the project and costs me nothing.
I'm sure I could go on, but I think I've made my point.
@LouisIngenthron @knightlie @ErikJonker @f4grx @jeffjarvis I have a friend whose job is to write the specs for software so coders will produce the correct product. Sounds like the coders are out of a job.
@jhavok @knightlie @ErikJonker @f4grx @jeffjarvis Not quite. Right now, the algos are trained on as much data as they can find, which includes some truly terrible examples. Therefore, if you just let it run loose without a knowledgeable human to work with, it just produces crap that won't even compile, much less run, for anything but the most basic examples.
That's a big reason why AI works so much better as a companion tool to improve humans' efficiency, rather than an outright replacement.
@jhavok @knightlie @ErikJonker @f4grx @jeffjarvis It is, yes, but some of that code invokes functions that have now been deprecated for years. Just because it once compiled doesn't mean it still will.
And that's before you get to the fact that the AI is actively combining code based on patterns, not just regurgitating it.
@LouisIngenthron @knightlie @ErikJonker @f4grx @jeffjarvis I would think a programming LLM would only be trained on material that compiles, and would thus innately contain the logic required for code to compile.