With OpenAI being at the center of the AI hype, I would’ve thought they’d be raking in the dough instead of losing $5 billion. So it’s really just Nvidia making money on this bullshit, huh? It’ll hurt when the hype dies down and Nvidia drops from the second top spot on the S&P 500. We’re all going to feel that one.
You know, to make money in a gold rush, don’t dig, sell shovels.
And Nvidia has really fancy shovels.
What is AI gold then?
Autonomous vehicles, robotics, LLMs
nah its whitelabelling AI credits. You build an API connector, charge 3x for a credit and sell it to a business.
Obsolescence of human workers/employees.
Makes no sense given that 80% of jobs are bullshit jobs.
Not sure you understood my point. The “Gold” that people search for when trying to push “AI” is that they have to pay less wages, because they need fewer employees. Wherever they find it, or not is irrelevant.
Automation was always heralded as a time saver, but do employees really need to work less to get the same amount of money? No, because automation is always used to give the top percentages more money for less work, not the workers or the broad public.
Eh all these companies operate as loss leaders until they capitalise the market.
- CNBC has confirmed that OpenAI expects about $5 billion in losses on $3.7 billion in revenue this year — figures first reported by The New York Times.
- Revenue is expected to jump to $11.6 billion next year, a source with knowledge of the matter confirmed.
So yeah some small loses here and there to make back far more in the future.
The assumption is that they’ll develop some kind of moat, but there are plenty of other AI models on offer or in development. It would also be useless capturing a market when the companies that would be their customers realize they’re not making money on the AI themselves.
You have to get people hooked on your product, though.
If they and every other AI company just evaporated no one would really be bothered.
You can’t capitalize a market that doesn’t really exist.
This is exactly the problem. There are plenty of people who will crawl out of the woodwork to tell you how they’ve found a way to make AI “useful”, but very, very few could put their hand on their heart and say that it was “essential” to their workflow or their own happiness and wellbeing in any meaningful way.
Which is fine in theory, but “expected” based on what?
They haven’t demonstrated any ability to meaningfully improve their models (“meaningfully” meaning "sufficient to actually address the very serious concerns about their practical usability), they haven’t shown any ability to meaningfully capture enterprise sales for their API, and their conversion rate on free users to paid users is abysmal. Their only stated plan to increase revenues is doubling their prices, which given their already terrible user retention doesn’t actually seem like a reliable way to bring revenue up. Jacking up prices only works when your users find you indespensible, and everything OpenAI offers can be found elsewhere for less.
Fuckin LLM bubble needs to burst already. I want some crazy compute cards to play with.
Also, who knew the only people who would pay 2400/yr for access would bebe the ones who plan to make hundreds of queries per day. What do like, people try to think about value for money before they buy stuff?! What are you all… like not filthy rich?! Ew.
I think this is just OpenAI marketing.
“Insane thing: We are currently losing money on OpenAI Pro subscriptions!” he wrote in a post.
The problem? Well according to @Sama, “people use it much more than we expected.”
Oh no, ChatGPT is too useful to customers! Altman isn’t going to be telling any real problems that OpenAI has to the whole world over Twitter.
You’re right, that’s definitely what Sam is trying to do here. Unfortunately for him, he’s still an idiot, and he’s inadvertently telling on himself here by openly confirming what’s been well understood for a while; ChatGPT simply is not profitable to run because the models are so stupidly inefficient. That’s a real problem, and one that they’ve shown no meaningful plan for solving.
Strange coincidence right as they want to convert to a for-profit company structure. “Bro we are not even making profits, nothing to see here bro”
What is the use case for a $200 a month AI subscription? It’s a lot of money to spend on a novelty, clearly people are finding it useful.
That’s nothing to a business.
What business though?
I run tech for a midsize business, and consult for several small businesses. Aside from one 4-person company, all of the businesses I oversee found it less expensive to host their own LLM in Azure than to pay for OpenAI’s subscriptions. I’m talking 10% of the cost of subscriptions for the same functionality.
The midsize business in particular has only seen measurable benefit from more specialized/global applications of “AI” tools, such as integrating machine learning into data analytics. There are a ton of people who use the LLM chat, but I think the mishaps caused by the LLM may have undone any efficiency gains. Either way, I’m sure glad they’re not paying hundreds of thousands of dollars annually for it.
Lol, well obviously it would be cheaper to host an LLM that is smaller. Imagine the cost of hosting o1
Fair. We’re using 4o and o1-mini right now, because access to the full o1 is waitlisted in Azure. However based on some brief review of their pricing for o1, I’d say we’re still going to save a metric fuckton of money compared to per-user subscriptions.
Any of the businesses that have hopped on the AI train. $200/month is basically the price of a single Indian call center employee. A company can pay for the AI subscription and fire 90% of the call center, using humans only for escalation.
Businesses that think shoving AI tools down everyone’s throat will create superior productivity so they can lay off workers
Lazy idiots
Bruh. Meanwhile I’m still with my free and libre Mistral-7B I refined using my own WhatsApp messages and I almost never use it…
You don’t use it because the AI already took over your life and murdered your biological counterpart
Well she ain’t too smart then cuz now she has to pay rent so I’d say we’re even
