There are some numbers in this blog post https://www.wheresyoured.at/openai-is-a-systemic-risk-to-the-tech-industry-2/ (and a couple of others on the same blog) and they really don’t look like OpenAI is going to last a couple of years until profitability.
“Talking chimps destroy own planet, and themselves”
More like “All chimps listens to the most charismatic chimps even though they are narcissistic idiots and that leads to their destruction”
The difficult question about AGI destroying humanity is deciding whether to be afraid of that option or to cheer it on and LLM enthusiasts are certainly among the people heavily pushing me towards the ‘cheer it on’ option.
As a standalone thing, LLMs are awesome.
They really aren’t though and that is half the problem. Everyone pretends they are awesome when the results are unusable garbage 80% of the time which makes them unusable for 99% of practical applications.
The difference between AI companies and most other tech companies is that AI companies have significant expenses that scale with the number of customers.
You think someone just got confused between the ugly guy, the tower and the top position and that is how we ended up in this mess?
It goes so far that a lot of the very same people vilifying open relationships are the ones cheating on their partners.
On the other hand that is also one of those things that annoys me about romance culture, the whole notion of your girlfriend/boyfriend/wife/husband being “stolen” by someone else as if your partner was just a passive object instead of being the actual person in the cheating who made promises to you (which might or might not include sexual exclusivity depending on mutually agreed upon preferences between everyone in the relationship) and should keep those promises or break up with you no matter what any third person tempts them with.
It is really not a big change to the way we work unless you work in a language that has very low expressiveness like Java or Go and we have been able to generate the boilerplate in those automatically for decades.
The main problem is that it is really not at all useful or produces genuinely beneficial results and yet everyone keeps telling us they do but can not point to a single GitHub PR or similar source as an example for a good piece of code created by AI without heavy manual post-processing. It also completely ignores that reading and fixing other people’s (or worse, AI’s) code is orders of magnitude harder than writing the same code yourself.
Probably not going to go belly-up, in a while
Don’t be so sure about that, the numbers look incredibly bad for them in terms of money burned per actual revenue, never mind profit. They can’t even pay for the inference alone (never mind training, staff, rent,…) from the subscriptions.
Yeah, I wonder how LAPD can be unable to handle ten groups of 1000 people in a metropolitan area of almost 20 million people, I would assume ten groups of 1000 people is more like a quiet weekend.
Also would help in general to cite English language sources in a discussion that happens in English.
There is a 100% effective solution to ending wars on planet Earth, most people are just opposed to the end of the human species for some reason.
In fact Daggerfall was almost nothing but quests and other content like that.
So they stole all the cookies a single news website set in the browser of one user?
“lawmakers” seem like an inappropriate term for the kind of enemies of the general population who usually demand these kinds of measures.
They also don’t apply the same attitude to those random sources they use instead. That is really the biggest problem with their approach. Literally going “you can’t trust anyone any more” would be better than what they do.
if you give your soldiers food, they become weak and die
Something tells me that is not what you meant to write here.
Funnily enough we managed to make companies so much worse that the family owned medium sized (think a few hundred employees) companies run by the younger generation of the family often look better than the average company run by a CEO hired specifically for that role from a large pool of potential candidates. Most likely because they actually have some long-term thinking left.
Name a single task you would trust an LLM on solving for you that you feel confident would be correct without checking the output. Because that is my definition of perfectly and AI falls very, very far short of that.