Hacker News Board Hacker News, browsed like a classic message board
Live data from Hacker News

Our eighth generation TPUs: two chips for the agentic era

blog.google

Post reply on HN
Print view View original

101–110 of 240 posts

Re: Our eighth generation TPUs: two chips for the agentic era

#101

Post by lokar »

lugu wrote: post #97
cyanydeez wrote: post #57

Earlier quoted context omitted.

it is. itll still not create AGI without some breakthrough in instruction vs data separation of concerns

You can park a lot there. No offence but I love how AGI doesn't mean anything. It used to be that AI was a goal post. Now it is AGI. We could use characters from sci-fi culture to describe milestones. In order to achieve robocop level, we must solve the instruction vs data problem.

Thus it always was. I’m old enough to remember when “if AI could beat a grandmaster at chess” was considered the finish line.

Re: Our eighth generation TPUs: two chips for the agentic era

#102

Post by neonstatic »

ALLTaken wrote: post #72
himata4113 wrote: post #64

I already felt that gemini 3 proved what is possible if you train a model for efficiency. If I had to guess the pro and flash variants are 5x to 10x smaller than opus and gpt-5 class models. They produce drastically lower amount of tokens to solve a problem, but they haven't seem to have put enough effort into refinining their reasoning and execution as they produce broken toolcalls and generally struggle with 'agent…

[flagged]

I'm really struggling with terrible bloating today, but I deemed it too dangerous to release.

Re: Our eighth generation TPUs: two chips for the agentic era

#105

Post by Iulioh »

onlyrealcuzzo wrote: post #71
himata4113 wrote: post #64

I already felt that gemini 3 proved what is possible if you train a model for efficiency. If I had to guess the pro and flash variants are 5x to 10x smaller than opus and gpt-5 class models. They produce drastically lower amount of tokens to solve a problem, but they haven't seem to have put enough effort into refinining their reasoning and execution as they produce broken toolcalls and generally struggle with 'agent…

> They produce drastically lower amount of tokens to solve a problem, but they haven't seem to have put enough effort into refinining their reasoning and execution as they produce broken toolcalls and generally struggle with 'agentic' tasks, but for raw problem solving without tools or search they match opus and gpt while presumably being a fraction of the size. Agreed, Gemini-cli is terrible compared to CC and even…

Not only that, google has an advange because they don't need to always generate a response.

When a lot of people ask the same thing they can just index the questions, like a results on the search engine and recalculate it only so often,

Re: Our eighth generation TPUs: two chips for the agentic era

#106

Post by arcanemachiner »

ValentineC wrote: post #91
Keyframe wrote: post #4

As others have been capturing news cycle eyes, seems to me Google has been going from strength to strength quietly in the background capturing consumer market share and without much (any?) infrastructure problems considering they're so vertically integrated in AI since day one? At one point they even seemed like a lost cause, but they're like a tide.. just growing all around.

> seems to me Google has been going from strength to strength quietly in the background capturing consumer market share and without much (any?) infrastructure problems considering they're so vertically integrated in AI since day one? The Google Antigravity subreddit is a shitshow though: https://www.reddit.com/r/GoogleAntigravityIDE/

Damn, you're not kidding. Might be worse than r/ClaudeAI in terms of user sentiment, and that's saying something.

Re: Our eighth generation TPUs: two chips for the agentic era

#107

Post by UncleOxidant »

himata4113 wrote: post #64

I already felt that gemini 3 proved what is possible if you train a model for efficiency. If I had to guess the pro and flash variants are 5x to 10x smaller than opus and gpt-5 class models. They produce drastically lower amount of tokens to solve a problem, but they haven't seem to have put enough effort into refinining their reasoning and execution as they produce broken toolcalls and generally struggle with 'agent…

IIRC when Gemini 3 Pro came out it was considered to be just about on par with whatever version of Claude was out then (4?). Now Gemini 3 is looking long in the tooth. Considering how many Chinese models have been released since then, and at least 2 or 3 versions of Claude, it's starting to look like Google is kind of sitting still here. Maybe you're right and they'll surprise us soon with a large step improvement over what they currently have. Note: I do realize that there's been a Gemini 3.1 release, but it didn't seem like a noticeable change from 3.

Re: Our eighth generation TPUs: two chips for the agentic era

#108

Post by _0ffh »

IncreasePosts wrote: post #63
someguyiguess wrote: post #54

Earlier quoted context omitted.

> Google invented the AI architecture that Anthropic and OpenAI based their entire companies on Source?

"Attention Is All You Need" was a paper by a bunch of Google researchers

Still, attributing that progress to "years of research at Google" alone is simplifying the facts to the point of being just plain wrong. That kind of research was always very much in the open and cooperative, with deep levels of standing-on-shoulders.

Attention e.g. was developed by Dzmitry Bahdanau et al. (those being Kyunghyun Cho and Yoshua Bengio) in 2014 while interning at the University of Montreal.

The insight of the paper you point to was that with attention you could dispense of the RNN that attention was initially developed to support.

Re: Our eighth generation TPUs: two chips for the agentic era

#109

Post by lowbloodsugar »

lugu wrote: post #97
cyanydeez wrote: post #57

Earlier quoted context omitted.

it is. itll still not create AGI without some breakthrough in instruction vs data separation of concerns

You can park a lot there. No offence but I love how AGI doesn't mean anything. It used to be that AI was a goal post. Now it is AGI. We could use characters from sci-fi culture to describe milestones. In order to achieve robocop level, we must solve the instruction vs data problem.

Robocop was a human brain in a suit! Don't give them any ideas!

Re: Our eighth generation TPUs: two chips for the agentic era

#110

Post by doug_durham »

ativzzz wrote: post #95
youniverse wrote: post #15

Earlier quoted context omitted.

Yeah I think there will be a time in a few years (1-2?) when both Google and Apple will get to eat their cake. They aren't playing the same game of speed running unpolished product releases every month to double their valuation. They have time to think and observe and put out something really polished. At least that's the hope! :)

> put out something really polished Like Apple Intelligence? Which was quite crap

Specifically what was crap about it? It seems to do what was advertised.
Post reply on HN