It’s always amazing to see how folks latch on to the extreme vs the reality.
ML and AI tools are quite helpful. Yes they make mistakes but at the end of the day it reduces human effort. It’s really not hard to see the usefulness.
It reduces effort in summarizing reports or paper abstracts that you aren’t sure you need to read. It reduces efforts in outlining formulaic types of writing such as cover letters, work emails etc.
It reduces effort when brainstorming mundane solutions to things, often by knocking off the most obvious choices but that’s an important step in brainstorming if you’ve ever done it.
Hell, I’ve never had chat GPT give me the wrong instructions when I ask it for a basic cooking recipe, and it also cuts out all of the preamble.
If you haven’t found uses for them, you either aren’t trying too hard or you’re simply not in an industry/job that can use them for what they are useful for. Both of which are ok, but it’s silly to think your experience of not using them means that no one can use them for anything useful.
The soul-crushing effort of socialising and producing art, an effort that is eating all that mental and physical energy which would be better utilised in the mines to make more profits for billionaires. /s
extreme is tech bros hyping ML and AI for not what it is to get shareholders to pay millions to projects that will likely not achieve its end goals. Anyone in the genuine ML and AI domain should be pissed because it is going to reduce interest and trust in these domains when the bubble bursts and then real researchers will be left to pick up the pieces whereas the tech bros will likely move onto the next thing.
Things that chatGPT, gen AI etc can do now? They are already crazy wild to me. But somehow to create more hype about it, they are advertised as being one step away from AGI or one step away from flawlessly pipelining creative processes. It is neither of these yet and from what it seems throwing more data to it will likely not be it either. But of course if you come up with a plan like “we need to double our compute bro and then we will have AGI bro” then you can get investors to pay double or quadruple of what they paid before. So in summary, they are basically con men.
The day to day reality for me at least is that the new hyped up llms are largely useless for work and in some cases actually detriments. Some people at work use them a lot, but the heavy users tend to be people who were bad at their jobs, or at least bad at the communication aspect of their jobs. They were bad at communicating before and now, with the help of chat gpt, they are still bad at communicating, except they have gotten weirdly obstinate about their crappy work output.
Other folks I know have tried to use them to learn new things but gave up on them when they kept getting corrected by subject matter experts.
I played around with them for code generation but did not find it any faster than just writing and debugging my own code.
Now, include the environmental costs of some of these tools, and whether they’re a) running at a loss or not in order to gain market share, and b) whether they’re the tools people are even using.
Do we still come out ahead? Are the minutes saved - if there are truly any - actually saved, or just shoveled onto someone else’s plate as environmental damage?
What’s the big picture here? Because society honestly should not give a flying fuck if your job becomes slightly easier at the cost of everybody else.
Yeah it’s absolutely not the inhuman giant inhuman entities that spew actual sewage and poison straight out into nature just for profits that’s the problem anymore it’s what the energy is used for
Yes, they can be useful at times. This does not mean you can just ditch all the human effort and algorithmic solutions and fill every nook and cranny with AI. Which is exactly where we’re at currently. And it’s turning out dreadful.
It’s always amazing to see how folks latch on to the extreme vs the reality.
ML and AI tools are quite helpful. Yes they make mistakes but at the end of the day it reduces human effort. It’s really not hard to see the usefulness.
Reduces human effort in what? Certainly for producing garbage, but it increases my human effort in having to wade through that garbage.
It reduces effort in summarizing reports or paper abstracts that you aren’t sure you need to read. It reduces efforts in outlining formulaic types of writing such as cover letters, work emails etc.
It reduces effort when brainstorming mundane solutions to things, often by knocking off the most obvious choices but that’s an important step in brainstorming if you’ve ever done it.
Hell, I’ve never had chat GPT give me the wrong instructions when I ask it for a basic cooking recipe, and it also cuts out all of the preamble.
If you haven’t found uses for them, you either aren’t trying too hard or you’re simply not in an industry/job that can use them for what they are useful for. Both of which are ok, but it’s silly to think your experience of not using them means that no one can use them for anything useful.
The soul-crushing effort of socialising and producing art, an effort that is eating all that mental and physical energy which would be better utilised in the mines to make more profits for billionaires. /s
extreme is tech bros hyping ML and AI for not what it is to get shareholders to pay millions to projects that will likely not achieve its end goals. Anyone in the genuine ML and AI domain should be pissed because it is going to reduce interest and trust in these domains when the bubble bursts and then real researchers will be left to pick up the pieces whereas the tech bros will likely move onto the next thing.
Things that chatGPT, gen AI etc can do now? They are already crazy wild to me. But somehow to create more hype about it, they are advertised as being one step away from AGI or one step away from flawlessly pipelining creative processes. It is neither of these yet and from what it seems throwing more data to it will likely not be it either. But of course if you come up with a plan like “we need to double our compute bro and then we will have AGI bro” then you can get investors to pay double or quadruple of what they paid before. So in summary, they are basically con men.
The day to day reality for me at least is that the new hyped up llms are largely useless for work and in some cases actually detriments. Some people at work use them a lot, but the heavy users tend to be people who were bad at their jobs, or at least bad at the communication aspect of their jobs. They were bad at communicating before and now, with the help of chat gpt, they are still bad at communicating, except they have gotten weirdly obstinate about their crappy work output.
Other folks I know have tried to use them to learn new things but gave up on them when they kept getting corrected by subject matter experts.
I played around with them for code generation but did not find it any faster than just writing and debugging my own code.
Now, include the environmental costs of some of these tools, and whether they’re a) running at a loss or not in order to gain market share, and b) whether they’re the tools people are even using.
Do we still come out ahead? Are the minutes saved - if there are truly any - actually saved, or just shoveled onto someone else’s plate as environmental damage?
What’s the big picture here? Because society honestly should not give a flying fuck if your job becomes slightly easier at the cost of everybody else.
Yeah it’s absolutely not the inhuman giant inhuman entities that spew actual sewage and poison straight out into nature just for profits that’s the problem anymore it’s what the energy is used for
They are both the same entities.
No
Yes, they can be useful at times. This does not mean you can just ditch all the human effort and algorithmic solutions and fill every nook and cranny with AI. Which is exactly where we’re at currently. And it’s turning out dreadful.
And this is the worst it will ever be