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| Polarbear |
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 Polarbear Super Spammer

Joined: 24 Feb 2007 Karma :  
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 Posted: 16:01 - 11 Oct 2025 Post subject: AI |
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This could be in either current affairs or geek.
AI
'It's going to be really bad': Fears over AI bubble bursting grow in Silicon Valley
https://www.bbc.co.uk/news/articles/cz69qy760weo
I'm confused on what they are saying about AI? Is it nothing like as useful as they thought? Is it just another dot com ponzi scheme? Why should we be worried? What does it matter if companies have over invested as that happens all the time in other industries.
Any answers in basic English please.  ____________________ Triumph Trophy Launch Edition |
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| Easy-X |
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 Easy-X Super Spammer

Joined: 08 Mar 2019 Karma :   
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 Posted: 17:10 - 11 Oct 2025 Post subject: |
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Tech bubbles revolve around the next big thing to revolutionise the world, AI is just the latest. Money gets pumped into the gimmick, server farms get built and... then it doesn't sell as well as people expected. POP!
There's a couple of (so far) insurmountable problems with AI the main one being it lies and makes shit up. And we already outsource to India for that sort of thing The other, less obvious one is diminishing returns. I've seen a few mathematical analyses and from what I can tell these LLMs might approach human-level smarts but the amount of computing power to get there will need to be immense. The apocalyptic "and it became self aware at 2:14am" isn't gonna happen, not even close.
There will be jobs for the chop - a professor needs one less research assistant as the AI can write most of the paper - and I certainly don't envy graphic designers right now but at some point investors are going to see the lack of returns and move onto something else. POP! ____________________ Royal Enfield Continental GT 535, Husqvarna Vitpilen 401, Yamaha XSR700, Honda Rebel, Yamaha DT175, Suzuki SV650 (loan) Fazer 600, Keeway Superlight 125, 50cc turd scooter |
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| temeluchus |
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 temeluchus World Chat Champion

Joined: 01 Oct 2008 Karma :    
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| A100man |
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 A100man World Chat Champion

Joined: 19 Aug 2013 Karma :   
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 Posted: 13:19 - 13 Oct 2025 Post subject: |
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| Easy-X wrote: | Tech bubbles revolve around the next big thing to revolutionise the world, AI is just the latest. Money gets pumped into the gimmick, server farms get built and... then it doesn't sell as well as people expected. POP!
There's a couple of (so far) insurmountable problems with AI the main one being it lies and makes shit up. And we already outsource to India for that sort of thing  The other, less obvious one is diminishing returns. I've seen a few mathematical analyses and from what I can tell these LLMs might approach human-level smarts but the amount of computing power to get there will need to be immense. The apocalyptic "and it became self aware at 2:14am" isn't gonna happen, not even close.
There will be jobs for the chop - a professor needs one less research assistant as the AI can write most of the paper - and I certainly don't envy graphic designers right now but at some point investors are going to see the lack of returns and move onto something else. POP! |
In short too much money is being poured into too many companies some of whom only have poor 'me too' product. Survival of the fittest will mean some go pop. Ditto dot.com bubble. ____________________ Now: A100, GT250A, XJ598, FZ750
Then: Fizz, RS200, KL250, XJ550, Laverda Alpina, XJ600, FZS600 |
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| Ste |
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 Ste Not Work Safe

Joined: 01 Sep 2002 Karma :    
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 Posted: 13:51 - 13 Oct 2025 Post subject: |
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When people talk about a bubble (like the dot-com bubble in the late 1990s), they mean that investment, hype, and expectations have grown faster than the actual technology’s ability to deliver results or profits.
So the worry isn’t that AI is fake or useless — it’s that too much money and optimism may be chasing too few real, sustainable business opportunities right now.
Companies like OpenAI, Anthropic, and Google are spending billions on data centers, chips, and energy. But most AI applications (chatbots, copilots, image tools, etc.) don’t yet bring in enough revenue to justify those costs.
Many businesses have tried using AI but find it hard to integrate or that it doesn’t improve productivity as much as promised. Some tools are great demos, but not game-changers in daily operations yet.
Startups that mention “AI” in their pitch are suddenly valued at absurd levels — even if they don’t have a working product. That feels reminiscent of the dot-com bubble, when everyone invested in anything with a “.com” in the name.
There aren’t enough GPUs, electricity, or engineers to sustain everyone’s growth plans. This makes costs skyrocket, which could hurt profitability if demand slows.
Even if AI itself continues to be transformative in the long run, a financial bubble bursting could cause:
- Massive layoffs in tech (as happened after the dot-com crash).
- Reduced funding for promising research or startups.
- A “winter” period where innovation slows because investors get burned.
- Knock-on effects in stock markets and the wider economy (since big tech stocks are heavily tied to AI optimism).
AI isn’t a scam or Ponzi scheme. The underlying tech is real and incredibly powerful — we’re already seeing major breakthroughs in productivity, science, and creativity.
The worry is more about timing and scale: people might be expecting too much, too soon.
In the long term, even after a bubble bursts, strong technologies usually survive (like the internet did after the dot-com crash). |
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| Easy-X |
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 Easy-X Super Spammer

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| Kawasaki Jimbo |
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 Kawasaki Jimbo World Chat Champion

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| Easy-X |
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 Easy-X Super Spammer

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| Polarbear |
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 Polarbear Super Spammer

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| BusterGonads |
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 BusterGonads Trackday Trickster

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| stinkwheel |
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 stinkwheel Bovine Proctologist

Joined: 12 Jul 2004 Karma :    
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 Posted: 16:33 - 15 Oct 2025 Post subject: |
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It's being used to eliminate boring/repetative/unprofitable tasks from peoples schedules. What we should really be considering is if you can just leave an AI in charge of it and nobody notices much, do those tasks need to be done at all?
For example, marking my mandatory CPD and reflective learning log which I garauntee no human being has ever looked at. If they had, they would have contacted me to discuss its content. My reflective learning log has moved over the years from a tongue-in-cheek review of the quality of the lunch/snacks provided at each CPD event to a monologue citing several articles from peer-reviewed education journals as to why enforced reflective learning can be an unhelpful practice. ____________________ “Rule one: Always stick around for one more drink. That's when things happen. That's when you find out everything you want to know.”
I did the 2010 Round Britain Rally on my 350 Bullet. 89 landmarks, 3 months, 9,500 miles. |
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| Ste |
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 Ste Not Work Safe

Joined: 01 Sep 2002 Karma :    
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 Posted: 16:47 - 15 Oct 2025 Post subject: |
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| Polarbear wrote: | I presume companies like Google, Apple etc. are rich enough to ride out any downturn and it's the smaller 'bandwagon' jumpers that are at risk. |
Those companies are immensely cash-rich and highly diversified. For example:
Apple has over $160+ billion in cash and marketable securities.
Alphabet (Google) holds around $100+ billion.
Microsoft and Amazon are in a similar ballpark, with strong free cash flow engines.
So, even if the “AI bubble” were to deflate — say, investors lose interest, valuations of AI startups collapse, or AI revenue projections prove overhyped — these giants could easily absorb the shock.
AI is only one piece of their overall business. Google’s main income still comes from ads. Apple’s is from iPhones and services. Microsoft’s from enterprise software and cloud. Amazon’s from retail and AWS.
They would simply scale back AI R&D budgets or pivot their narratives, much like after the dot-com bust in the early 2000s — they might lose some speculative market cap, but not stability or solvency.
The mid-tier and “bandwagon” companies are most at risk and that includes:
Startups whose entire valuation rests on “AI” branding.
Public companies that rebranded or pivoted to AI to attract investor interest.
Smaller chip, cloud, or data infrastructure players that depend on AI hype to justify growth projections.
When the hype fades:
Funding dries up (venture capital and IPO appetite vanish).
Customer demand slows as enterprises become more cautious.
Margins shrink, because many of these firms are not yet profitable.
That’s what happened after the dot-com and crypto booms — a wave of consolidation, bankruptcies, and fire-sale acquisitions.
Rather than a total collapse, the likelier outcome of an AI bubble burst is a shakeout:
Dozens or hundreds of small AI startups vanish.
A few key technologies (like GPUs, model infrastructure, and proven SaaS integrations) survive and thrive.
The big firms buy useful survivors cheaply — consolidating even more power.
Think of it as a “natural selection” phase where speculative capital exits, and sustainable AI businesses remain.
Some historical analogies include:
Dot-com crash (2000) Amazon, eBay, Google survived and dominated after.
Crypto crash (2022) exchanges and meme coins collapsed, but underlying blockchain tools still exist.
AI is likely to follow a similar pattern: short-term pain, long-term integration.
In short:
Yes — the tech giants will ride it out with minimal harm.
The real casualties will be the smaller “AI-in-name-only” firms and overvalued startups that don’t have real products, cash flow, or defensible tech. |
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| hellkat |
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 hellkat Super Spammer

Joined: 12 Jul 2004 Karma :  
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| panrider_uk |
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 panrider_uk World Chat Champion

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| Easy-X |
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 Easy-X Super Spammer

Joined: 08 Mar 2019 Karma :   
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 Posted: 17:17 - 17 Oct 2025 Post subject: |
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Google keep throwing up their AI's interpretation of my search query and 9 times out of 10 it's bollocks I do use Grok a fair bit when I want an "executive summary" of things, just don't bother with anything political as it can only toe the party line. ____________________ Royal Enfield Continental GT 535, Husqvarna Vitpilen 401, Yamaha XSR700, Honda Rebel, Yamaha DT175, Suzuki SV650 (loan) Fazer 600, Keeway Superlight 125, 50cc turd scooter |
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| Hetzer |
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 Hetzer Super Spammer

Joined: 19 Feb 2007 Karma :     
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 Posted: 12:02 - 21 Oct 2025 Post subject: |
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I'm enjoying Ste's ironic-like use/abuse of AI in his posts.  ____________________ "There's the horizon! Ride hard, ride fast and cut down all who stand in your way!" |
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| CrypticCrud |
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 CrypticCrud Scooby Slapper
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| struan80 |
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 struan80 World Chat Champion

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| Ste |
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 Ste Not Work Safe

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| Ste |
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 Ste Not Work Safe

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| struan80 |
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 struan80 World Chat Champion

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| temeluchus |
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 temeluchus World Chat Champion

Joined: 01 Oct 2008 Karma :    
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 Posted: 02:22 - 24 Oct 2025 Post subject: |
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| Ste wrote: | | Polarbear wrote: | I presume companies like Google, Apple etc. are rich enough to ride out any downturn and it's the smaller 'bandwagon' jumpers that are at risk. |
Those companies are immensely cash-rich and highly diversified. For example:
Apple has over $160+ billion in cash and marketable securities.
Alphabet (Google) holds around $100+ billion.
Microsoft and Amazon are in a similar ballpark, with strong free cash flow engines.
So, even if the “AI bubble” were to deflate — say, investors lose interest, valuations of AI startups collapse, or AI revenue projections prove overhyped — these giants could easily absorb the shock.
AI is only one piece of their overall business. Google’s main income still comes from ads. Apple’s is from iPhones and services. Microsoft’s from enterprise software and cloud. Amazon’s from retail and AWS.
They would simply scale back AI R&D budgets or pivot their narratives, much like after the dot-com bust in the early 2000s — they might lose some speculative market cap, but not stability or solvency.
The mid-tier and “bandwagon” companies are most at risk and that includes:
Startups whose entire valuation rests on “AI” branding.
Public companies that rebranded or pivoted to AI to attract investor interest.
Smaller chip, cloud, or data infrastructure players that depend on AI hype to justify growth projections.
When the hype fades:
Funding dries up (venture capital and IPO appetite vanish).
Customer demand slows as enterprises become more cautious.
Margins shrink, because many of these firms are not yet profitable.
That’s what happened after the dot-com and crypto booms — a wave of consolidation, bankruptcies, and fire-sale acquisitions.
Rather than a total collapse, the likelier outcome of an AI bubble burst is a shakeout:
Dozens or hundreds of small AI startups vanish.
A few key technologies (like GPUs, model infrastructure, and proven SaaS integrations) survive and thrive.
The big firms buy useful survivors cheaply — consolidating even more power.
Think of it as a “natural selection” phase where speculative capital exits, and sustainable AI businesses remain.
Some historical analogies include:
Dot-com crash (2000) Amazon, eBay, Google survived and dominated after.
Crypto crash (2022) exchanges and meme coins collapsed, but underlying blockchain tools still exist.
AI is likely to follow a similar pattern: short-term pain, long-term integration.
In short:
Yes — the tech giants will ride it out with minimal harm.
The real casualties will be the smaller “AI-in-name-only” firms and overvalued startups that don’t have real products, cash flow, or defensible tech. |
Is AIposting a revival of Tefposting? ____________________ Some shite cruiser. Now with guns and FREEDOM! |
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| Ayrton |
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 Ayrton World Chat Champion

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| Easy-X |
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 Easy-X Super Spammer

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| panrider_uk |
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 panrider_uk World Chat Champion

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