They’re investing into huge, energy intensive compute resources that aren’t going to pay off for at least a decade, and meanwhile investors are going to want returns on those investments ASAP. They need to fill warehouses with compute and power them with nuclear reactors, but there’s no profitability model. That means stranded assets, especially if investment dries up and they can’t pay or if demand shifts away from their models. This is set up to be a massive crash.
NVIDIA will probably be fine though.
Gigabrain (already linked) and Perplexity does this:
Yeah, and what they’ll do is invent sources from thin air or draw made up conclusions from real sources. They’re just LLMs, no matter how much data you feed them and how much the results are tinkered with they only regurgitate a statistically likely answer. Perplexity is a bullshit machine. It’s fine if you don’t really care about the answer and are just kind of curious, but no serious researcher should ever rely on a chatbot.
For who? Who is going to crash massively? Google? Microsoft? Amazon? Are you are expecting these massively diversified trillion dollar companies to fail due to AI?
Yeah, and what they’ll do is invent sources from thin air
The sources are right there next to it? You click on them and it takes you to the source, could you maybe try it for 5 seconds and then get back to me before you just make stuff up? what are you, an AI?
or draw made up conclusions from real sources
This feels like I’m having a conversation with a boomer talking about wikipedia.
Yeah, it’s always best to check the original sources and not just believe everything you read on the internet, no different than clicking on results in google and getting a page full of misinformation which people are doing every minute of every hour of every day, and don’t even get me started on social media.
For who? Who is going to crash massively? Google? Microsoft? Amazon? Are you are expecting these massively diversified trillion dollar companies to fail due to AI?
Open AI is going to implode after it goes for-profit. As for the others they’ll weather the storm, they have enough diversity in their assets to handle the AI bubble popping, but there will be big tech layoffs and lots of assets will get sold off to private equity.
You click on them and it takes you to the source, could you maybe try it for 5 seconds and then get back to me before you just make stuff up?
So what’s the point?
This feels like I’m having a conversation with a boomer talking about wikipedia.
Rude. Wikipedia is, at least, peer reviewed by wikipedia editors. Chatbots don’t have that. They will just make shit up and you have to manually double check their sources yourself. At that point, why are you even using AI? It saved you no time or effort.
This feels like having a conversation with someone inside a hype bubble. If Wikipedia already exists, what purpose does AI fulfill? It’s just a more expensive, more energy intensive way to do the exact same thing. There’s no profitability case. It’s useful, but it isn’t more useful than the much cheaper and much less energy/resource intensive alternatives. So, what’s the point?
Yeah, it’s always best to check the original sources and not just believe everything you read on the internet, no different than clicking on results in google and getting a page full of misinformation which people are doing every minute of every hour of every day, and don’t even get me started on social media.
Okay, but then, why is AI useful? If you’re going to look at sources anyway, what’s the point? You’re just using a massive amount of energy and compute for something that can be done much more efficiently.
The only useful product I’ve seen come out of this is hype bubble is text-to-image models. Being able to tell a bot to generate an image is really interesting and useful for people without skills in creating or editing their own images. That’s an actual use case that could maybe justify the amount of resources being poured into it, it could maybe even be profitable.
Okay, but then, why is AI useful? If you’re going to look at sources anyway, what’s the point?
Because it summarises the results, it’s like a search engine but better
The rest? It’s wasteful and it won’t last.
I’m using it for coding in a way that it isn’t going anywhere, I’m using LM Studio with Qwen2.5 Coder and Mistral 7b, these are offline models so even if Alibaba or Mistral go broke they’ll continue to work.
Example of what it looks like:
It seems like lots of people are using it in a similar way, no longer searching the web and clicking on sometimes 100 results trying to figure out a problem but instead using AI to answer questions:
While originally it was constantly making mistakes there’s now Chain of Thought and code sandboxing, it has gotten so much better so quickly
So now I’ve got: web search summarisation, a far better reddit/forum search and summarisation, text to image generation and personal coding assistant, each of these in and of themselves would be an amazing program used by millions and that’s ignoring using it for assistance with language learning:
If it wasn’t for the web being an absolute social media shithole with no moderation resulting in AI slop being pasted all over the place, AI would genuinely be the greatest tech revolution I’ve seen since the iphone.
I have heard that these LLMs are really good as coding assistants, so good point. I shouldn’t dismiss that. I don’t think they’re good at music, and really the art isn’t that good either, but I’m sure people without artistic training like being able to make images and songs. Not sure it’s worth the cost, since it’s all built on plagiarism and so massively wasteful.
As for web searches, really? I don’t think they’re trustworthy. They can, and do, make shit up. No, that’s not the same as the boomerism of saying “anyone can edit Wikipedia so you can’t trust it” because Wikipedia has quality control. LLMs don’t. There’s literally nothing stopping it from spitting out lies and so it’s up to the user to double check whatever the LLM spits out, which means I might as well just search through results myself. And if you don’t always double check, it will bite you in the ass eventually. Good luck with that.
If it wasn’t for the web being an absolute social media shithole with no moderation resulting in AI slop being pasted all over the place, AI would genuinely be the greatest tech revolution I’ve seen since the iphone.
If it wasn’t for the web being a monetized SEO algo shithole we could still just search the web! AI summarization is only “useful” in the sense that the search engines have destroyed themselves in their search for profitability, google is garbage now and we don’t need to build acres of compute powered by nuclear reactors to fix the problem.
So really, the problems that are causing AI slop to pollute search results are the same problems that made search engines so bad over the past ten years.
If we demonetized and de-enshitified the search engines by nationalizing google I don’t think AI result summaries would be useful at all.
Do I get things wrong? Sure, never said I was perfect either, if someone tells me I got a stat or a figure or something wrong, great!
The question for me is: is it wrong enough to make the results completely unreliable, and the answer to that is no, more often than not it provides accurate information.
If it wasn’t for the web being a monetized SEO algo shithole we could still just search the web!
That’s not accurate to me, AI/SEO search results are still a minority of results that I get, most of the time I get close to what I’m looking for, but AI search summarisation is essentially the next level of search for me:
Dogpile/Altavista/AskJeeves > Google > AI powered search summarisation
I get essentially what I’m looking for directly, why click on a page with 47 ads, a video pop up or something else when all I’m looking for is:
Is it a complete replacement? Not yet, Ecosia is still my daily driver having used it 25,000+ times in the last year but AI is making a serious dent in how often I use it.
we don’t need to build acres of compute powered by nuclear reactors to fix the problem.
I would keep an eye on that, the gains in AI have been massive in the last few years, and we’re starting to potentially see a turning point with DeepSeekv3 being created on a fraction of the cost and power of other models
DeepSeek (Chinese AI co) making it look easy today with an open weights release of a frontier-grade LLM trained on a joke of a budget (2048 GPUs for 2 months, $6M).
For reference, this level of capability is supposed to require clusters of closer to 16K GPUs…
*This could turn out to be wrong hence why I’m keeping an eye on it
**I’m absolutely certain a whole lot of execs are stunned right now they’re spending billions when something that cost millions came up right next to them
They’re investing into huge, energy intensive compute resources that aren’t going to pay off for at least a decade, and meanwhile investors are going to want returns on those investments ASAP. They need to fill warehouses with compute and power them with nuclear reactors, but there’s no profitability model. That means stranded assets, especially if investment dries up and they can’t pay or if demand shifts away from their models. This is set up to be a massive crash.
NVIDIA will probably be fine though.
Yeah, and what they’ll do is invent sources from thin air or draw made up conclusions from real sources. They’re just LLMs, no matter how much data you feed them and how much the results are tinkered with they only regurgitate a statistically likely answer. Perplexity is a bullshit machine. It’s fine if you don’t really care about the answer and are just kind of curious, but no serious researcher should ever rely on a chatbot.
For who? Who is going to crash massively? Google? Microsoft? Amazon? Are you are expecting these massively diversified trillion dollar companies to fail due to AI?
The sources are right there next to it? You click on them and it takes you to the source, could you maybe try it for 5 seconds and then get back to me before you just make stuff up? what are you, an AI?
This feels like I’m having a conversation with a boomer talking about wikipedia.
Yeah, it’s always best to check the original sources and not just believe everything you read on the internet, no different than clicking on results in google and getting a page full of misinformation which people are doing every minute of every hour of every day, and don’t even get me started on social media.
Open AI is going to implode after it goes for-profit. As for the others they’ll weather the storm, they have enough diversity in their assets to handle the AI bubble popping, but there will be big tech layoffs and lots of assets will get sold off to private equity.
So what’s the point?
Rude. Wikipedia is, at least, peer reviewed by wikipedia editors. Chatbots don’t have that. They will just make shit up and you have to manually double check their sources yourself. At that point, why are you even using AI? It saved you no time or effort.
This feels like having a conversation with someone inside a hype bubble. If Wikipedia already exists, what purpose does AI fulfill? It’s just a more expensive, more energy intensive way to do the exact same thing. There’s no profitability case. It’s useful, but it isn’t more useful than the much cheaper and much less energy/resource intensive alternatives. So, what’s the point?
Okay, but then, why is AI useful? If you’re going to look at sources anyway, what’s the point? You’re just using a massive amount of energy and compute for something that can be done much more efficiently.
The only useful product I’ve seen come out of this is hype bubble is text-to-image models. Being able to tell a bot to generate an image is really interesting and useful for people without skills in creating or editing their own images. That’s an actual use case that could maybe justify the amount of resources being poured into it, it could maybe even be profitable.
The rest? It’s wasteful and it won’t last.
Because it summarises the results, it’s like a search engine but better
I’m using it for coding in a way that it isn’t going anywhere, I’m using LM Studio with Qwen2.5 Coder and Mistral 7b, these are offline models so even if Alibaba or Mistral go broke they’ll continue to work.
Example of what it looks like:
It seems like lots of people are using it in a similar way, no longer searching the web and clicking on sometimes 100 results trying to figure out a problem but instead using AI to answer questions:
While originally it was constantly making mistakes there’s now Chain of Thought and code sandboxing, it has gotten so much better so quickly
So now I’ve got: web search summarisation, a far better reddit/forum search and summarisation, text to image generation and personal coding assistant, each of these in and of themselves would be an amazing program used by millions and that’s ignoring using it for assistance with language learning:
https://blog.duolingo.com/duolingo-max/
song making
https://suno.com/explore
etcetc
If it wasn’t for the web being an absolute social media shithole with no moderation resulting in AI slop being pasted all over the place, AI would genuinely be the greatest tech revolution I’ve seen since the iphone.
I have heard that these LLMs are really good as coding assistants, so good point. I shouldn’t dismiss that. I don’t think they’re good at music, and really the art isn’t that good either, but I’m sure people without artistic training like being able to make images and songs. Not sure it’s worth the cost, since it’s all built on plagiarism and so massively wasteful.
As for web searches, really? I don’t think they’re trustworthy. They can, and do, make shit up. No, that’s not the same as the boomerism of saying “anyone can edit Wikipedia so you can’t trust it” because Wikipedia has quality control. LLMs don’t. There’s literally nothing stopping it from spitting out lies and so it’s up to the user to double check whatever the LLM spits out, which means I might as well just search through results myself. And if you don’t always double check, it will bite you in the ass eventually. Good luck with that.
If it wasn’t for the web being a monetized SEO algo shithole we could still just search the web! AI summarization is only “useful” in the sense that the search engines have destroyed themselves in their search for profitability, google is garbage now and we don’t need to build acres of compute powered by nuclear reactors to fix the problem.
So really, the problems that are causing AI slop to pollute search results are the same problems that made search engines so bad over the past ten years.
If we demonetized and de-enshitified the search engines by nationalizing google I don’t think AI result summaries would be useful at all.
When did the web ever present itself as a completely factual and never wrong? There’s plenty of evidence of wikipedia being wrong on wikipedia
https://en.wikipedia.org/wiki/Wikipedia:List_of_hoaxes_on_Wikipedia
Do I get things wrong? Sure, never said I was perfect either, if someone tells me I got a stat or a figure or something wrong, great!
The question for me is: is it wrong enough to make the results completely unreliable, and the answer to that is no, more often than not it provides accurate information.
That’s not accurate to me, AI/SEO search results are still a minority of results that I get, most of the time I get close to what I’m looking for, but AI search summarisation is essentially the next level of search for me:
Dogpile/Altavista/AskJeeves > Google > AI powered search summarisation
I get essentially what I’m looking for directly, why click on a page with 47 ads, a video pop up or something else when all I’m looking for is:
https://www.perplexity.ai/search/do-you-have-a-basic-egg-on-toa-pkpsq9WwSMm5G8ICsmDnbw#0
Is it a complete replacement? Not yet, Ecosia is still my daily driver having used it 25,000+ times in the last year but AI is making a serious dent in how often I use it.
I would keep an eye on that, the gains in AI have been massive in the last few years, and we’re starting to potentially see a turning point with DeepSeekv3 being created on a fraction of the cost and power of other models
https://techcrunch.com/2024/12/26/deepseeks-new-ai-model-appears-to-be-one-of-the-best-open-challengers-yet/
*This could turn out to be wrong hence why I’m keeping an eye on it **I’m absolutely certain a whole lot of execs are stunned right now they’re spending billions when something that cost millions came up right next to them