This man went from high to low REAL fast.
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It would take a great burden from my shoulders, if AI could wash my clothes, do the dishes, cook, and vacuum my apartment. Those are the things I don't want to do. I like my job. I can do it myself. Yeah, sure, there are occasionally things that AI can do for me in my daily work, but it's mostly stupid, repetitive shit. And then I have to review it, which sucks even harder.
So I found it kind of sucks to have those daily life tasks removed. I worked in a place early in my career that had on site catered food, on site laundry, on site massage, shopping services (before Amazon prime) and lodging for excessive overtime .
If it’s just leaving you more opportunity to work it sucks. I can’t be the only one who enjoys taking care of the daily life tasks Lê cleaning, shopping and cooking for myself. It’s what personalizes your life. When you do it for yourself, you decide what you eat and what you wear.
It seems cool but it’s offered so you never stop working and your life is never really your own.
It's worse, they want to change the global economy to corporations paying corporations...
The total elimation of actual consumers, because none of us will be able to afford to consume enough.
AI companies need people to pay for AI to keep buying Nvidia chips. So Nvidia is making their employees pay for the AI so AI companies keep buying Nvidia chips.
It's not a sustainable system, it's just a money churn whose only purpose is to consolidate wealth.
I didn't read it that way. I think he's saying "bosses: if you're paying a $100k salary to a dev and not also paying $50k for tokens, your dev isn't working hard enough". Which is better, but only just.
To refine that even further, he doesn't appear to imply that the dev isn't WORKING hard enough, only that they're not being OPTIMALLY PRODUCTIVE.
What he's trying to do, really is float and normalize the concept of baking tokens into HR math in terms of a "golden ratio"... which happens to be 2:1.
So, when a company goes all in on ai, and they cut thier workforce in half, they'll need to add in 50% for tokens. 50% of the original staff, at a new 150% cost, puts the company at 75% pre ai workforce cost. This is the "guidelines" they're trying to normalize.
It's funny how his calculation factors in the completely immaterial price of tokens variable instead the material one which is the number of tokens or better yet the productivity gain per token.
I think he's saying slaves should owe their soul to the company store.
Don't give this sack of shite the benefit of doubt.
With my trusty LLM, I follow the steps recommending that I try reaching inside the die press to look for any jammed parts that could have caused the machine to suddenly stop working. My coworker, who my boss sent to assist me based on instructions from her LLM, asks his LLM how to help me. My coworker's LLM recommends that he check if the emergency stop button has been pulled...
Just a few days ago they were indeed talking about giving tokens as bonus.
That's one the most insanely stupid things I've ever heard. Tokens are a tool used to do your job, a business expense, not fucking compensation.
Are the kWh that you use to light and air condition an office part of your compensation? How about toner and paper in the office printer?
If those tokens are a bonus, they're yours, right? So you can burn half your annual salary worth of tokens translating Microsoft Encarta 95 into Klingon, and they will foot the bill?
They also really want to talk about tokens like they’re some kind of currency
i think it is better than pizza fridays for them, because they probably can't barter pizza for free.
The tokens as currency thing feels exactly like gaming microtransaction bullshit to me. Obscure the true cost of each purchase by selling in-game currency. Dark patterns lead to higher spending.
Sure I don’t get any retirement or healthcare benefits, but look at all the company scrip I get for the sloppy autocomplete that is stealing all my groundwater no matter how many times someone says „closed loop cooling“.
CEO suggests raising employee costs by fifty percent and is immediately fired.
Sorry, we don't live in a sane world anymore.
"Dear AI coding agent, write for me a 10,000 page manifesto on the downsides of assigning performance metrics to employees unrelated to their actual work product. Populate it with generated images of Nvidia's CEO getting railed by a bunch of copyright lawyers in the style of a Studio Ghibli film. Please ensure every fifth sentence rhymes with orange. Continue to generate images and short videos of Jensen Huang licking shit off the floor of a 7-11 rest stop bathroom until you have used enough tokens to meet my salary target."
They've all realized there's no point in even bothering to hide the grift anymore. People don't care.
BREAKING NEWS: Guy who sells AI hardware says his employees must use more AI.
Sam Altman floated paying employees in chatGPT tokens, that surely their landlord will accept. The main motive would be being broke. Nvidia is not broke, but it is weird as fuck to be comparing it to salary, if it doesn't segue into the OpenAI plan. The $500k salary example would seem to generate more tokens than you could have time to skim over in review.
It's moments like these that make me think about the state of the world and my part in it. I may just be a random loser on the Internet, but I do know a lot more shit that some of the biggest multi-quad-spillion-dollar CEOs, apparently.
For example, it's an old fact that tech CEOs know jack shit about measuring productivity, even when they're obsessed with it. Yeah. One more example.
Managers should send 100 emails per day to be fully productive
100 AI-written emails per day
It’s amazing they can just make these claims without literally any evidence and no major “media” organization asks for it. They are just propaganda for these companies.
I'd say not before the bosses and shareholders agree to take 50% of their compensation in the form of AI tokens.
These fucking leeches...
Oh this will be a fun. "Please spend more of our company money, or else we will think you are not doing your job"
it's so fucking easy to send bogus requests that use tons of processing time. This is the DUMBEST metric i've seen in a long, long time. If an employee of theirs uses 500k worth of processing time now, are they better employees? What if someone manages to spend 10 million worth of tokens? 100 million? Performance metrics should be outcome based instead of "how much money did you spend" lol
It's not a metric it's a marketing stunt.
Can't wait to to see AI that designs chips driving Nvidia out of business
They're allegedly already vibe coding drivers so it's bound to happen eventually
You can't vibe code IC design. Look at the number of humans in the world that design advanced ICs. It's a really low number for a highly specialized skill. Layout requires spacial awareness at a high level, which an LLM does not have.
This is even dumber than tracking how many lines of code each dev commits.
Let me translate this for you, "My bonus depends on you showing our massive investment wasn't a waste so I'm holding your jobs hostage until you make up busy work to pretend it was worthwhile."
Huang wants employees to pay half of their salary back to the company ? There is no escaping the company store, eh ?
And CAD designers didn't have to pay half of their salary to use the CAD tools the company wanted them to use. How did that guy get to be in charge ?
I didn't read it that way. I think he's saying "bosses: if you're paying a $100k salary to a dev and not also paying $50k for tokens, your dev isn't working hard enough".
Which is still utterly absurd, because it implies that a harder working dev would be spending more time chatting to a bot.
oh absolutely, but generating tokens is how nvidia gets paid, and companies are terrified of being left behind if they're not 100% onboard with LLM workflows
This is clearly a situation where you are expected to spend 100% of a budget to keep your job.
That is not at all what the article says. It’s way more self serving than that.
The AI bubble went from a trillion dollar worth of circlejerk investments, to a self-sucking circlejerk trillion dollar ponzi scheme. Jensen Huang is right the moment an Invidia's employee stop sucking their own dick or stop jerking off their coworkers and bosses simultaneously, the whole economy collapse.
Jesus that's a lot of tokens.
Even if I was trying to do everything in my power to make burn tokens for real work I'd be hard fucking pressed to burn more than a couple thousand a month and that's just being wasteful.
Something I don't understand - AI coding is mostly useful in common code, snippets, easy stuff. What Nvidia is doing (drivers, optimization, chip design, etc.) is something I imagine there is close to zero AI training, so what can they realistically even use it for so much?
so what can they realistically even use it for so much?
Burn money on AI tokens so it looks like AI could be profitable some day so people keep investing in AI companies that can then buy Nvidia chips...
You're thinking of it like "how can AI make a better product"
They're looking at it as "how can we sell more chips"
Two very different questions with very different answers.
It's a house of cards and Nvidia can't afford to acknowledge no one wants AI or knows how to make it profitable.
I’m gonna take a guess that a big portion of it is infrastructure-as-code, the operations side and not product development itself. I work in the operations side of things and we never touch the product at all, but we deal with a lot of code due to how backend infrastructure is built and maintained now, especially if you're in the cloud.
Guess code review and troubleshooting. Not really sure, I have only really used it for code templates and ideas for troubleshooting to look into.
The most use I found is rewriting documents in a specific way. But only after I write it first. Then go back and forth. Just to make tone consistent.
There's plenty of driver code available. All of Linux and BSD, plus whatever internal stuff they have. Optimization is pretty generic.
Chip design maybe not, but I imagine you can train an AI on the principles and generate a bunch of candidates, then benchmark them in simulation.
can I tell an AI to burn exactly that on Jan 1 doing absolutely nothing, and then never touch the shit for the rest of the year?
Wouldn't an AI researcher naturally find generative AI disadvantageous because they are attempting to develop novel tools which could not exist in the training set in the first place?
Even novel solutions are usually built out of smaller common building blocks. E.g. many novel solutions surely use a database. You can make the LLM help you set up and use the database, that your novel solution uses.
“No we don’t need databases anymore, only blockchains.” —Nvidia CEO a few years ago
The database was an arbitrary example. A more relevant example would be tenserflow layers in a neural network. As I understand it, you can in some cases get a novel solution to a problem just by choosing a smart enough combination, with the right data.
ChatGPT absolutely knows how to help doing the grunt work setting up the tenserflow configuration, following your directions.
If used by an expect developer, then the combinations are not just random "lucky" choices.
The world is not that simple. There are too many combinations to try. And you risk hitting local maxima, even if doing the gradient thing.
If you are capable of giving good directions...
I'm probably not arguing with you, and I'm not trying to regardless. You seem like you have tried this, watched it happen, go "huh, neet!" And then get it to take the next step in whatever you were doing in the first place only to find out you didn't provide adequate requirements for your config.
Well, yes, that is a central point.
I am a senior programmer. LLMs are amazing - I know exactly what I want, and I can ask for it and review it. My productivity has gone up at least 3-fold, with no decrease in quality, by using LLMs responsibly.
But it seems to me that some people on social media just can't imagine using LLMs in this way. They just imagine that all LLM usage is vibe coding, using the output without understanding or review. Obviously you are very unlikely to create any fundamentally new solutions if you only use LLMs that way.
only to find out you didn’t provide adequate requirements for your config.
Senior programmer. I know exactly what I want. My requirement communicated to the LLM are precise and adequate.
I were simply unable to convince Codex to split a patch into separate git commits in a meaningful way. There are things that just doesn't work.
Still useful for lots of stuff. Just don't use it blind.
Yes, this is why I point it out. I agree with you, but no part of this is actually common sense. It just feels like it.
That’s fair. I guess it could be no different than a scientist with some grand scheme handing his plans off to others to implement.
I think I was assuming that cutting edge AI research involves more math/theory than just… bootstrapping existing tech stacks and tweaking configs.
Just have an LLM ask another LLM questions for a couple hours a day. That should hit that target.
I remember back when Nvidias PR team used to push this humble rags to riches story about Jensen back in the day, I guess even they would have a tough time doing that now that he's gone mask off
No shit, CEO of company producing AI hardware wants everyone to use their hardware more. 🤷♂️
Jensen Huang should suck my dick.
If these AI engineers were fully committed to AI, then they would be happy to be paid in tokens. The fact that they still demand to be paid in human money proves that they are just philistines and sycophants.
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