America is being run by somebody who doesn't understand the value of science, so it is seen as a waste of money and worse, systematically destroyed. The problem is that the result won't become apparent for about ten years at which point Americans will be asking why everyone else is making money from science and technology breakthroughs and they're getting poorer.
These people have zero idea what they're doing. Not a single mention of pipeline parallelism that would actually make the setup useful to run a big model.
I can’t stand it. Very engineering-y over specified formal language around a complete lack of core understanding. Is damaging other people read this and try to learn things from it.
Doesn't really mean anything without a specific use case to guide model selection.
The thing is Qwen 3.8 27B can be ran on far far cheaper hardware. If you're spending the big bucks on these rigs you probably made the wrong choice if you aren't using models that require all of that VRAM.
That's not quite how it works. Throwing Deepseek V4 Flash on 4 of these would net you something like >200tk/s for 16 concurrent requests, that's 600 million _output_ tokens a month. Guess what happens when you use 8
He's dead wrong about the usefulness of the technology, but he's dead right about the uncontrolled corrupt circular financing that is driving this crazy over-expansion and market distortion. He fulfils a very useful function as a counterweight to the big tech horse-shit hosepipe that sprays us every day.
They blew up my interest when the stole my money by cutting me off from Gemini CLI with no explanation or recourse. I did not violate the terms of service and my only crime seemed to be not wanting to use Antigravity. They still took my money for the rest of that month and gave me nothing for it.
If the Chinese labs can compete on a shoestring budget with access to much less powerful hardware, Google should be able to compete as well. They're becoming almost irrelevant for agentic coding right now.
I would agree with you on AI/LLM being more than agentic coding but at the same time, I think there's more nuance.
For example, PDF's and powerpoints can be generated using agentic coding by things like https://bento.page or other ways of generating them in an agentic coding fashion.
A lot of browser automation could/is also done by agentic coding.
It can also help them set up and configure self hosted software with the help of LLM's and debugging if its working or not.
You can create videos using Manim and remotion.dev and also excalidraw-animate and generate excalidraw files agentically if what you need is more vector style graphics (which surprisingly can fit into many ideas) rather than say a real life human waving video/more photo-realistic video (but I must say that this has certainly its own pros/use-cases as well).
It might sound self-explainatory but turns out that coding can represent a wide range of problems!
I get that. I use agents a lot and LLMs often reason with code. It is valuable. I just think the floor is a lot lower for general reasoning and common tasks like that. And in 6-12 months it won’t matter. Google will publish better models. The temporal distortion of how long a Sol or a Fable has existed is real. No one is suddenly missing out on some giant competitive edge because their model is a few months behind. I feel like it’s all just going to normalize and things other than how well your model can write code will matter more and more in 12 to 24 months.
Sure I understand what you mean as well and I am not asking for SoTA models to be created by Google but more so explaining why coding is still the largest focus for many labs.
I personally wish to get more smaller models (like the recent qwen model) and other open source models like GLM 5.3 and the glm flash model.
> No one is suddenly missing out on some giant competitive edge because their model is a few months behind
Sure I can agree with that. The competitive edge might still exist but I do get the underlying sense of what you are trying to suggest.
> things other than how well your model can write code will matter more and more in 12 to 24 months.
What are the things then which you feel like could be more differentiative factor? For example, I personally think multi modal is still quite preferrable in AI models. I use GLM 5.2 and it doesn't have vision and I can certainly imagine time/use-cases where multi-modality would've helped coding and even other use cases as well. So what are some other use cases that you are thinking? Video generation models like Veo/Sora?
It's not much of a shoestring budget to be receiving regular injections of investment from state lenders along with cheap credit.
I don't think the comparison holds.
The financial press regurgitates it and in return they get ad spend and exclusive stories.
It’s mutual dependency unfortunately, and will remain that way whilst there are shareholders and investors who own the publications and seek only ongoing returns
Do not short it. I repeat, do not do this! Do not play the game of capitalism against expert capitalists who have spent the last few decades rigging the game more an more in their own favor. In very rare cases may be lucky but only for a short while. The more trades you make the more the odds stack against you, and you will loose everything.
In a game where the odds are stacked against you, the only winning move is not to play.
> The more trades you make the more the odds stack against you, and you will loose everything.
In general this is true. Participation is not rigged with eg VTI/ITOT and VXUS/IXUS and a long enough time horizon.
There is no case where one cannot participate - doing nothing means inflation will eat away at assets.
I have a very brutish 50/50 international/US split (was 30% international before 2024 when Trump promised to destroy the US economy and started to act on that...). Each quarterly equity vest I put more in, and realize capital "losses" while buying the near equivalent security when there is an opportunity to do so.
It’s a shitty advice (the one about not playing, not the one about not buying shorts). The winning move is to have diversified longs with long horizon. That’s all it takes to participate in profits from “rigged” system.
I disagree. The winning move is to organize, and stand as workers in solidarity against the owning classes, engage in direct action (including boycotts and strikes) until the ruling class changes the rules in our favor, or better yet, abolishes this godforsaken economic system of capitalism in favor of a system that rewards workers and not our exploiters.
Right answer, but the anti-captialist reasoning is rubbish. The simple reason why you do not want to short a stock is that it can go up infinitely, and nVidia has a four year history of going up. There is also good reason to think nVidia will hit the numbers, both because AI is booming and because nVidia is conservative in its forcasts.
No capitalist conspiracy theory is needed, save the conspiracy theories for the Trumpers.
TBF there are absolutely horrible platforms like Robinhood that aren't far off what the above poster alluded to. At one point payment for order flow was the majority of their revenue or near it!
The boring staid firms like Fidelity/Vanguard have vastly superior products not designed to incentivize gambling
It's all factored in! The unimaginably vastness of the cosmos: Past, future, at astronomical through Planck scales. You have no agency; free will is an emergent phenomenon. You are not smarter than all those quants with their Ivy league degrees and 7 figure salaries, surely; the only winning move is not to play.
It's basically a micro Unix implementation aimed at old and resource constrained systems. I've been following it for a few years. The documentation is terrible, there are hardy any updates, but it does seem to be making slows, steady progress behind the scenes. I think it just needs to reach a critical mass of functionality and we'll see it popping up on raspberry pi picos, 8-bit micros etc. Definitely needs some TLC in the comms department though. Oh, and don/t be fooled by the archived status - it moved to https://codeberg.org/EtchedPixels/FUZIX
> FUZIX is a fusion of various elements from the assorted UZI forks and branches beaten together into some kind of semi-coherent platform and then extended from V7 to somewhere in the SYS3 to SYS5.x world with bits of POSIX thrown in for good measure. Various learnings and tricks from ELKS and from OMU also got blended in
This README reads like a blog post.
Is this intended for some kind of professional purpose? Because I could see this being amusing for hobby purposes but I have no idea what I'd do with it at work.
The statement that Apple has been supporting businesses for decades is just the most self-serving bunch of crap. You can tell how thin this is by the way they push local ads on Maps as some kind of headline feature. What a joke.
I sadly didn’t share that experience - I fed it my goodreads most recent - but it largely picked up on 2 or 3 series I’ve been slowly working my way through so that most of the recommendation list was ALL the other books in the series (and the spin-off series) so I didn’t really get anything useful…
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