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killingtime74 9 hours ago [-]
Is this mid air turbulence or the engine flaming out prior to a crash?
Maybe they should have released Gemini Carbon for real rather than teasing it.
ticulatedspline 6 hours ago [-]
Google is probably going to be fine. The web is going to get a bit weird in a few years and they're going to be right in there.
The web is likely going to layer up soon. As more and more people utilize AI it changes traffic. It's impossible (and undesirable) to keep training with current affairs, LLMS need to go out to the web to find reality and they need to do search in order to get there.
More and more they're going to get blocked from doing so via "human" channels. I predict we're going to get a sub-web. basically MCP but for websites, AI interacts with a sites content through that door, humans use http.
When there's a gold rush sell pickaxes. Forget Gemini, that's a money pit. Google is in a great position to shape that sub-web through chrome and it's current incumbent position as gatekeeper to the web. They'll be selling search deals to all the Big AI agents, indexing the new MCP-like layer so AI can search and interact with site information and blurring the line between your harness and chrome such that browsing the web is more like asking AI for crap and getting pages there in the harness rather than traditional browsing.
before you know it nobody will browse the web the way we do now and no agent harness will function correctly without Google.
> More and more they're going to get blocked from doing so via "human" channels
How? Companies have been trying this for the last 2 decades. Its effectiveness has been rapidly declining.
dabinat 4 hours ago [-]
I’ve never encountered in my life a new technology that was adopted this quickly. In just a few years AI is being used in some way by almost everyone, no matter if they’re tech-savvy or not. It’s also interesting that everyone uses it but it’s also pretty widely hated at the same time.
The demand is there - I just don’t think the revenue streams have been fully figured out yet. Ultimately I think the AI providers will converge on allowing their AI to respond to queries with sponsored suggestions, quite simply because there’s too much money being left on the table to not do that.
Google is making these massive investments because they’re terrified that they’re going to be eclipsed or turn into IBM. But Google has way more of a buffer to play the long game than OpenAI or Anthropic.
CoolestBeans 6 hours ago [-]
It means the spending spree is on hold. The credit window for the neoclouds remains closed. Now the hyperscalers are feeling the pain. The narrative was that the hyperscalers could lean on their prodigious cash flows if the data center rush didn't pan out. This round of earnings reports adds some doubt to that narrative which is spooking everyone. Hyperscalers are still projecting a further increase in capex in 2027, but one has to wonder how long that will last if conditions stay the same.
The next step is whether data center capex discipline begins filtering to Nvidia and the DRAM semis revenues. At that point pure play companies must drive revenue growth or else.
dyauspitr 7 hours ago [-]
There’s too much actual value for a flaming crash.
etempleton 7 hours ago [-]
There was a lot of value in the internet too but it didn’t prevent a crash.
NBJack 6 hours ago [-]
I think you're overlooking a lot of what didn't make it. So many local ISPs, random delivery services, and online stores from that era are gone. They used the internet, even offered it, but often burned through capital without having anything to show for it.
solid_fuel 5 hours ago [-]
If you look at job listings right now, there's a ton of "we apply an LLM to your business use case" type startups that really don't have good products or fundamentals, but that are getting a lot of funding because "AI".
They use LLMs, often have flashy demos, but can't keep things aligned and struggle to keep the models on task. E.g. they have burned a ton of capital and don't have a lot to show for it.
The ones that went all-in on vibe coding are even worse off.
If those startups die, the big inference providers lose a lot of customers.
etempleton 4 hours ago [-]
That is my point. A lot of the early dot com companies didn't survive. Just because AI has value does not mean there has not been over investment or investment in the wrong places.
bushbaba 5 hours ago [-]
Idk there’s a lot of unicorn startups with valuations more than 100x earnings with no path to profit.
A lot of the token spend is circular in nature and f500 has not seen a meaningful revenue or profit improvement from AI.
Sure looks like the dot com bubble.
thousand_nights 7 hours ago [-]
i'm disappointed that Mythos is an Anthropic model because it would be the perfect naming for Google's models since they only actually exist in benchmarks or press releases
gregglain 8 hours ago [-]
Did people think it would just keep going up?
jeffnv 6 hours ago [-]
I think it's going to keep going up
DotNetCorePowa 8 hours ago [-]
No!
Well except the whole HN crowd, the CEOs, the US president, and... The whole valley...
vinyl7 5 hours ago [-]
In our fake monopoly money economy, the line always goes up!
dude250711 9 hours ago [-]
Google is a free ChatGPT for when you feel too lazy to select temporary chat with fast reasoning.
edude03 7 hours ago [-]
As a Kagi user I genuinely do use google for that nowawdays. I assume they'll move it behind a paywall for that reason
hexfish 10 minutes ago [-]
Why not use Kagi's !quick for that? Because it's not as quick as Google's?
refurb 6 hours ago [-]
It’s hilarious to see “AI fears” in the headline when the truth is Google missed its earning estimate.
I’d say it’s more than revenue growth is below estimates than any “AI fears”
verzali 10 minutes ago [-]
And why is revenue growth below estimates?
postalrat 5 hours ago [-]
I rarely use google search because AI can do searching with more effort than I'm willing to do 99% of the time.
"However, profits at the company fell by a considerable 25% during the quarter. And for the second time in its history as a public company, it showed negative free cash flow, this time in excess of $9bn. That's almost twice the loss of cash Alphabet showed just three months ago."
Maybe they should have released Gemini Carbon for real rather than teasing it.
The web is likely going to layer up soon. As more and more people utilize AI it changes traffic. It's impossible (and undesirable) to keep training with current affairs, LLMS need to go out to the web to find reality and they need to do search in order to get there.
More and more they're going to get blocked from doing so via "human" channels. I predict we're going to get a sub-web. basically MCP but for websites, AI interacts with a sites content through that door, humans use http.
When there's a gold rush sell pickaxes. Forget Gemini, that's a money pit. Google is in a great position to shape that sub-web through chrome and it's current incumbent position as gatekeeper to the web. They'll be selling search deals to all the Big AI agents, indexing the new MCP-like layer so AI can search and interact with site information and blurring the line between your harness and chrome such that browsing the web is more like asking AI for crap and getting pages there in the harness rather than traditional browsing.
before you know it nobody will browse the web the way we do now and no agent harness will function correctly without Google.
How? Companies have been trying this for the last 2 decades. Its effectiveness has been rapidly declining.
The demand is there - I just don’t think the revenue streams have been fully figured out yet. Ultimately I think the AI providers will converge on allowing their AI to respond to queries with sponsored suggestions, quite simply because there’s too much money being left on the table to not do that.
Google is making these massive investments because they’re terrified that they’re going to be eclipsed or turn into IBM. But Google has way more of a buffer to play the long game than OpenAI or Anthropic.
The next step is whether data center capex discipline begins filtering to Nvidia and the DRAM semis revenues. At that point pure play companies must drive revenue growth or else.
They use LLMs, often have flashy demos, but can't keep things aligned and struggle to keep the models on task. E.g. they have burned a ton of capital and don't have a lot to show for it.
The ones that went all-in on vibe coding are even worse off.
If those startups die, the big inference providers lose a lot of customers.
A lot of the token spend is circular in nature and f500 has not seen a meaningful revenue or profit improvement from AI.
Sure looks like the dot com bubble.
Well except the whole HN crowd, the CEOs, the US president, and... The whole valley...
I’d say it’s more than revenue growth is below estimates than any “AI fears”
Related:
Alphabet Announces Third Quarter 2026 Results [pdf]
https://news.ycombinator.com/item?id=50280197
For the first time ever, Google Search is less than 50% of Alphabet's revenue
https://news.ycombinator.com/item?id=50291945