Sam Altman says OpenAI wants to sell intelligence like a utility
During a recent appearance at BlackRock in Washington, D.C., OpenAI’s Sam Altman, shared his vision for the future of AI. At one point saying, “We see a future where intelligence is a utility, like electricity or water, and people buy it from us on a meter.”
Altman was describing a world where AI becomes a foundational infrastructure, something woven into everyday life so deeply that consumers and businesses simply “plug into” it the same way they rely on electricity, Wi-Fi or running water.
It’s VERY aggravating to use.
…half an hour later you realise the first answer is probably the best you’re going to get, and you’ll still need to fact check it before using it.
yeah. that sums it up. Spend more time and energy to ultimately have to do everything yourself anyway. Only if you truly have no fucking clue about what you are asking, you can beleive anything this evolved T9 autocorrects say.
That was my experience playing with the older neural net models back in the day. Usually the initial models and datasets are nearly the best it will get. Trying to feed it more data or trying to tweak the model only gains marginal improvements. Unless you’ve made a critical error in the initial work or miraculously happen upon a much better dataset then not much will change. I mean the whole premise that the machine finds the optimal solution within the limits of its capabilities. Beyond that you’re, rolling the RNG until the output lands on a result you like better, but the capabilities remain the same.
That’s why I suspect LLMs have peaked and these companies must be applying smoke and mirrors to keep the this iteration of AI going. There’s not going to be another leap forward until scientists put out another revolutionary paper for everyone to copy. That seems to be the cadence of AI.
No offense, but when did you last use a LLM? Two years ago?
Granted they‘re talkative, but that’s it what they are, literal blah machines.
I mean fuck Altman and the rest of the tech bros, can’t wait until their bubble burst and they all crash. But the technology is going to stay, like it or not.
This has literally been my experience playing around with Gemini since I bought a Pixel 10.
Interesting. In this case not only the free tier house LLM that’s included with with opencode is smarter, also the local model I run on 16GB graphics card can beat Gemini, lol.
I’ve seen people do some pretty cool stuff with LLMs, but any time I’ve tried using one of the big name ones, I’ve had the exact same experience of it hallucinating or just straight up ignoring me.
Gemini Pro, however, has been so bad that I’m seriously considering dropping Android after 18 years. Fucker burnt through about a dozen of my image generation allotments because it got stuck in some kind of weird logic loop then tried gaslighting me by telling me it hadn’t generated anything.
Sounds less then ideal. I honestly never used a current model of those big AI providers, except maybe a bit of ChatGPT 3.5 back in the day. My fiancé uses Claude is mostly satisfied. I played around with opencode and a local model and I‘m mostly impressed. I use it do admin my Linux gaming pc and to teach me Linux.
The local Qwen 3.6 works quite well, does good online research and actually proved me wrong when I thought it hallucinated some fact. Of course it’s no „real“ AI, but it’s useful.
I’ll have to check that one out. Thanks for the rec!
The technology is here to stay but nearly all of its current uses are not. There is no way, for example, talking to an LLM at a fast food drive-through, isn’t costing more than it saves. It seems that way today because of VC subsidy, but that is an economic illusion made possible by an anti-competitive oligopoly market. There are many other examples, too, but I thought that a more fun obvious one.
Honestly, you’re example could already be done today by a local model like like Qwen 3.6 27b. There’s no need to run an expensive cloud model for such a simple task.
Wouldn’t even destroy jobs, there are always people needed to fry the burger.
Now do I want to talk Rona fucking robot while ordering burger? Hell no. But it could be done economically without any problems.
I’m not sure what model they use there, but it is surprisingly poor given the limited problem space being covered. I can’t imagine a local model would work better than that.
Strange. You should think that’s a pretty basic task. Like you said, limited problem space. Every current LLM that is big enough and has the necessary guardrails and instructions should be able to handle it.