Live data from Hacker News

Google I/O

io.google

201–210 of 274 posts

Re: Google I/O

#201
Is the website broken for anyone else? I'm clicking on "Join the livestream" and nothing is happening.

Re: Google I/O

#202
I would love to see two things:

1. A new Gemini model that is not quantized.

2. A way to connect NotebookLM notebooks to any agents if you pay for the pro subscription.

Re: Google I/O

#203
post #167

Earlier quoted context omitted.

While I get your point, this kind of gives me "Old man yelling at cloud" vibes. Yes, all the AI talk and bullshit bingo became quite annoying at this point, and I also can't wait for it to settle. But AI is here, and it's here to stay. Wether we like it or not. It's like what dotcom was for the internet back then. We'll get through this eventually - with a bubble bursting here and there - but making fun of it with ov…

The old man yelling at the cloud is often correct, just powerless.

Well clouds are a lie. It's just someone else's computer.

Re: Google I/O

#204
post #113

They claim the AI itself built an OS and demoed Doom running on it. Personally, rather than Doom, I think I'll only truly appreciate the real value of this advancement when flawless real-time YouTube subtitle translation actually becomes a reality.

> They claim the AI itself built an OS and demoed Doom running on it. Doom ran on MS-DOS, which - by modern standards - provided a shockingly minimal set of abstractions for programs. I think about the only thing you need to run Doom is the int 21h "API" to access the FAT filesystem and perform keyboard I/O. Note that MS-DOS did not provide facilities such as memory virtualization / management, process management, vi…

You have a real knack for explaining things. That makes total sense. Regarding the compiler part, I'm actually trying to build my own language using LLMs, and to be honest, it barely works. I wasn't very familiar with classic OS architectures like MS-DOS, but your breakdown really helped me understand the context

Re: Google I/O

#206

It's discouraging to see Google price Gemini 3.5 Flash at 3x the cost of Gemini 3 Flash. I would think that most people that deployed this model in production would have used it for low latency tasks, classification/categorization, customer support or basic RAG-/RAG-style chatbots. Performance on coding benchmarks is nice and all, but where is the "intelligence too cheap to measure"? This new cost point is quite proh…

Gemini 3.5 flash beats Gemini 3.1 pro at all benchmarks.

Re: Google I/O

#207
post #25

Interesting that the 3.5 Flash launches before 3.5 Pro. Historically it's been the reverse for Gemini since Flash is distilled from Pro? Are they just training it a bit longer until it tops benchmarks?

It must have improved considerably since I tried the "3.5-flash-preview" a couple of months ago if all these claims in the presentations are true. Because it couldn't even make changes in a 200 line Python script without doing major mistakes (like messing up argument order when calling functions) when I tried it.

Re: Google I/O

#209
post #61

can't wait to hear all about the new Agentic workflows you can build with AI and build with agentic agent swarms and build more workflows to do more with Enterprise AI with Gemini Enterprise Agent Platform and elevate efficiency with the power of AI and unlock value with AI agents. also can't wait to hear more about AI integrations across Google AI Workspace, like AI Gmail or AI docs (powered by Gemini Enterprise AI)…

While I get your point, this kind of gives me "Old man yelling at cloud" vibes. Yes, all the AI talk and bullshit bingo became quite annoying at this point, and I also can't wait for it to settle. But AI is here, and it's here to stay. Wether we like it or not. It's like what dotcom was for the internet back then. We'll get through this eventually - with a bubble bursting here and there - but making fun of it with ov…

I think the point is that AI was here 40 years ago [1].

LLMs/RAGs/Transformers are the newish thing that's here to stay.

I've seen my colleagues vocabulary regress from "training transformers" to just "using AI", without clarifying if are using claude or actually building a network. I was recently told that no one says "vibe coding" any more (now it "agentic AI", I was told). My colleague who does ML research was told he was the only one at his workplace that wasn't doing AI.

So the problem isn't the technology (a lot of the technology is great), it's that the discussion around it has been dumbed down by hype.

[1]: https://archive.org/details/byte-magazine-1985-04-rescan

Re: Google I/O

#210
post #61

can't wait to hear all about the new Agentic workflows you can build with AI and build with agentic agent swarms and build more workflows to do more with Enterprise AI with Gemini Enterprise Agent Platform and elevate efficiency with the power of AI and unlock value with AI agents. also can't wait to hear more about AI integrations across Google AI Workspace, like AI Gmail or AI docs (powered by Gemini Enterprise AI)…

[dead]
Post reply on HN