Jensen Huang says Nvidia engineers should use AI tokens worth half their annual salary every year to be fully productive

You’re not productive if you don’t use a lot of AI, says guy who makes all of his money selling AI hardware

Jensen Huang says Nvidia engineers should use AI tokens worth half their annual salary every year to be fully productive — compares not using AI to using paper and pencil for designing chips

You're not productive if you don't use a lot of AI.

Tom's Hardware
This man went from high to low REAL fast.
The billionaire’s way
The secret is he’s always been low, nvidia has intermittently pulled tons of shady shit basically ever since the 3dfx days

What did they do?

Closed source linux drivers is not nice, but also not shady.

Idk when he was every regarded highly by Nvidia users/consumers. Only by corporate board and investors
ifs hes in the news this much like altman, they seem very DESPERATE like the bubbles about to pop.

Huang wants employees to pay half of their salary back to the company ? There is no escaping the company store, eh ?

CAD designers didn’t have to pay half of their salary to use the CAD tools the company wanted them to use.

Your didn’t read the article did you?

Jenson gives then free tokens just in case you don’t want to read.

You code 16 lines, what do you get?

Another day older and deeper in debt

St. Peter, don’t you call me 'cause I can′t go

I owe my soul to the company store

It seems that the Nvidia CEO isn’t the only one investing in AI tokens for his employees to freely use

AFAIK, Nvidia employees aren’t paying for the tokens they use out of their own pockets, although it’s certainly beneficial to Nvidia in multiple ways if their own employees are making heavy use of AI.

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

Jensen compared today’s AI tools to machinery that was invented during the industrial revolution

They really want this to be an apt comparison and it’s really not

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.

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.

So ponzi scheme?
I’m hungry. When do we eat?
That’s the neat part!
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.
He didn’t explicitly say it, but the language in use gels with the ones that have

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.

he needs new jackets.
Just a few days ago they were indeed talking about giving tokens as bonus.
Are AI tokens the new signing bonus or just a cost of doing business? | TechCrunch

Maybe tokens really will become the fourth pillar of engineering compensation. But engineers might want to hold the line before embracing this as a straightforward win.

TechCrunch
Is company chit still illegal if it’s a 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?

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…
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“.
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.
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?
Guess code review and troubleshooting. Not really sure, I have only really used it for code templates and ideas for troubleshooting to look into.

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.

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.

Making slides for all the pointless meetings.

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

Kinda similar to musks LOC requirement. But at least with NVIDIA this idea directly correlates with more business if it spreads beyond the company
It’s not a metric it’s a marketing stunt.

I’d be amazed if they internally do not have objectives to implement the kool aid.

But yeah, of course it’s propaganda. If this bite lands in the right ear of an exec, they can implement this as a metric in their review process.

Tech people are all circle jerking dipshits

I mean… if you take into account fair price of utilities (water and electric) and skyrocketing costs of RAM… I don’t fully disagree.

Ballparking, but 50% of an engineer’s job being “boilerplate” and “charlie work” sounds reasonable to me. Maybe even 75%. That IS what generative AI is really good at. It is the kind of work that you can have a particularly ambitious student intern do.

What makes a good engineer is the ability to verify that work. In software this is “code review”. And the other aspect is actual innovation. Solving particularly complex problems or breaking a problem down into manageable and verifiable tasks.

And… guess how you maintain your skills to be able to do that? That’s right. Charlie Work.

Which is the problem. Managers (and wannabe managers) just see short term gains. So they want EVERYTHING to be done with “AI” because they want to bulk fire people and reduce operating costs. And they don’t at all care that they are causing a massive brain drain because that is next quarter’s problem.

you first, mr huang
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.
What do you have against philistines?
This is even dumber than tracking how many lines of code each dev commits.
“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.”
Beautifully prompted
Can’t wait to to see AI that designs chips driving Nvidia out of business
They’re allegedly
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.
Noone talks about LLM here. I’m talking about building new specialized model for that
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?
Openclaw got you covered!
Wasn’t the whole point of LLMs basically free advanced labor for these douchebags? Paying half a price of labor on top of paying for labor seems pretty pathetic. Full denial mode eh?
Managers should send 100 emails per day to be fully productive
100 AI-written emails per day