Microsoft and Alphabet both reported mostly strong results Tuesday, but the disparate reactions from investors showed that Wall Street only cares about AI now.
As long as LLM AI models are prone to hallucinating and there is no way to audit how they derive results (eg to verify accuracy), relying on them will have roadblocks/limitations. Once they solve this issue though, that will be a whole different story, I agree. As for other AIs such as image or video generation, I don’t have enough experience to tell…
Hallucinations can be heavily reduced today by providing the LLM with grounding truth. People use naked LLMs as knowledge databases, which is prone to hallucinations indeed. However, provide them with verified data from the side and they are very, very good at keeping to the truth. I know, because we deploy these with clients to great avail.
Image, music, video models are making great strides and are already part of various pipelines, all the way up to the big boy tools like Photoshop (generative fill, for example).
The tech is being incorporated at a large scale by a lot of companies, from SME to megacorp. I don’t see it going away any time soon, even if it doesn’t improve from here on out (which it undoubtedly will).
Hire 1 person to verify AI output instead of a dozen to make the content. If that one editor misses something, who cares when we live in a post-truth society where the media lies on purpose.
In Africa, there are three countries that start with the letter “K”:
Kenya
Kingdom of Eswatini (although it’s often referred to simply as Eswatini)
Kiribati
However, it’s worth noting that Kiribati is not in Africa; it’s a Pacific island nation. So, only Kenya and the Kingdom of Eswatini in Africa start with the letter “K”, but most people just refer to Eswatini without the “Kingdom” prefix. If you meant countries solely with the prominent “K” at the start, then it’s just Kenya.
Anecdotal evidence is useless because it can be contradicted with anecdotal evidence.
This mentality is the same as saying Wikipedia is not a source. I agree, there are better regulations that need to be implemented, but the speed at which these things are being churned out and tuned is mind blowing. It’s like if Wikipedia started branching off into sub categories that each have their own specialty, which can be more easily moderated, and then folded back into the more general system.
It’s not quite blockchain. It is incredibly useful in a broad range of applications, and has genuinely changed how millions of people work. Sure it’s not the magic bullet wall street thinks it is, but my work has been improved immensely through the use of generative AI. Especially with uniquely challenging software problems and niche questions.
I think it’ll be similar to VR. Extremely useful and interesting, but over-hyped and not going to penetrate our lives as much as most people think.
My mom never used VR, but she happily talks to GPT4. From that perspective I think mindshare in the broader population will be significantly higher than VR (even if it doesn’t live up to the hype VC/Wallstreet machine).
Even if I would gift one to her she wouldn’t use it. VR headset is peak nerd shit, as much as I love it. Having a dialog with an AI is much more approachable to the layman.
That’s fair I guess. I don’t have a VR headset or talk to AI so imo they’re both pretty nerdy. I only talk to chatGPT every now and then to see if it can help me with code problems, and it almost always fails spectacularly unless I’m doing something really basic.
I work as a systems engineer and use it daily. I feel there is a particular way of using it where it really shines. Priming it with “you are an experienced senior python/rust/etc. developer who writes robust, idiomatic and maintainable code”. Using GPT-4 (not 3.5) is paramount, and the Data Analysis mode on ChatGPT is also really useful, because GPT can actually run code to validate things.
Noone should force it of course, but I feel once you get intuition about what and how it does things well (and when it falls on its face) then it really flies.
Can’t wait for this AI bubble to fizzle. It’s the blockchain insanity all over again.
Maybe, but gen AI produces actually useful, tractable results. That’s already heaps more than crypto, which is just techno gambling
As long as LLM AI models are prone to hallucinating and there is no way to audit how they derive results (eg to verify accuracy), relying on them will have roadblocks/limitations. Once they solve this issue though, that will be a whole different story, I agree. As for other AIs such as image or video generation, I don’t have enough experience to tell…
Hallucinations can be heavily reduced today by providing the LLM with grounding truth. People use naked LLMs as knowledge databases, which is prone to hallucinations indeed. However, provide them with verified data from the side and they are very, very good at keeping to the truth. I know, because we deploy these with clients to great avail.
Image, music, video models are making great strides and are already part of various pipelines, all the way up to the big boy tools like Photoshop (generative fill, for example).
The tech is being incorporated at a large scale by a lot of companies, from SME to megacorp. I don’t see it going away any time soon, even if it doesn’t improve from here on out (which it undoubtedly will).
The issue is that there are from time to time they still confidently hallucinate and there is no way to detect if they are right or not.
Hire 1 person to verify AI output instead of a dozen to make the content. If that one editor misses something, who cares when we live in a post-truth society where the media lies on purpose.
How many countries start with the letter K in Africa?
GPT-4:
Anecdotal evidence is useless because it can be contradicted with anecdotal evidence.
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Hallucinations aren’t the only issue with LLMs, they also have a limited amount of context they can recall and that problem won’t go away.
That problem is very much being worked on
This mentality is the same as saying Wikipedia is not a source. I agree, there are better regulations that need to be implemented, but the speed at which these things are being churned out and tuned is mind blowing. It’s like if Wikipedia started branching off into sub categories that each have their own specialty, which can be more easily moderated, and then folded back into the more general system.
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Errr, what other alternatives are there to the fiat markets?
It’s not quite blockchain. It is incredibly useful in a broad range of applications, and has genuinely changed how millions of people work. Sure it’s not the magic bullet wall street thinks it is, but my work has been improved immensely through the use of generative AI. Especially with uniquely challenging software problems and niche questions.
I think it’ll be similar to VR. Extremely useful and interesting, but over-hyped and not going to penetrate our lives as much as most people think.
My mom never used VR, but she happily talks to GPT4. From that perspective I think mindshare in the broader population will be significantly higher than VR (even if it doesn’t live up to the hype VC/Wallstreet machine).
If you had to buy an expensive headset to use chatGPT she wouldn’t either.
If she had wheels she’d be a wagon.
I’m just saying the accessibility of AI doesn’t necessarily mean it has more utility. Just that it’s more accessible.
Even if I would gift one to her she wouldn’t use it. VR headset is peak nerd shit, as much as I love it. Having a dialog with an AI is much more approachable to the layman.
That’s fair I guess. I don’t have a VR headset or talk to AI so imo they’re both pretty nerdy. I only talk to chatGPT every now and then to see if it can help me with code problems, and it almost always fails spectacularly unless I’m doing something really basic.
I work as a systems engineer and use it daily. I feel there is a particular way of using it where it really shines. Priming it with “you are an experienced senior python/rust/etc. developer who writes robust, idiomatic and maintainable code”. Using GPT-4 (not 3.5) is paramount, and the Data Analysis mode on ChatGPT is also really useful, because GPT can actually run code to validate things.
Noone should force it of course, but I feel once you get intuition about what and how it does things well (and when it falls on its face) then it really flies.
Yeah I should probably use gpt4. Just don’t want to pay for another subscription haha.
I’m still waiting for the electricity bubble to fizzle.
pretty sure it’ll take nuclear war to pop that one
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Only if you don’t know what you’re talking about.
Oh damn, this couldn’t be more wrong.