No, that’s google. A leaked memo indicates that they deliberately made search worse so people would have to search twice and see twice the number of ads
AI companies lose money every time someone uses it. Even those that charge per-token
No, that’s google. A leaked memo indicates that they deliberately made search worse so people would have to search twice and see twice the number of ads
AI companies lose money every time someone uses it. Even those that charge per-token
If it worked they could be profitable already instead of continuing to burn billions of investment dollars.
They're burning billions because they're trying to rush ahead of the competition in capabilities. No matter how good LLMs get, that is not their goal. They're trying to reach AGI and there are no second places in that race.
Thinking that LLMs will ever become AGI is fucking hysterical, and that is what the shills keep saying is going to happen. They are trying to turn lead into gold using a stove and a skillet.
No money they have dumped into LLMs is going to contribute to something that could achieve AGI. They are running the wrong race.
Mind quoting the part where I claimed LLMs will become AGI?
Altman and the other shills claim that.
Are you an AI shill?
If not, then I didn't say you claimed that.
AI and AGI are not synonymous terms. We've had AI since 1956. General intelligence means human-level intelligence. When an AI system can do any task as well as or better than humans can, it's by definition generally intelligent.
We're not changing the definitions. People thought that chess is so hard that once an AI system can play chess it has to be as intelligent as humans. That just turned out to be a false assumption. A system can be superhuman at playing chess but that ability doesn't need to translate to any other field.
Sounds like changing definitions to me.
But it's not. It's a hypothesis that was proven incorrect by running the experiment.
That’s translatable to other fields
I didn't say it doesn't ever translate to other fields. I said that it doesn't need to. That's the difference between narrow and general intelligence. You can be superhuman at X but have zero clue how to do Y. It's still intelligence but it's not general or "human level"
I think they know AGI is far off, and are setting a more medium term goal. I think they are just trying to corner the new LLM market that might emerge. Even if the bubble pops and 3/4 go bust, they hope to be the one that survives and gets to be the quasi-monopoly in that market for the next decade.
Nobody "knows" that AGI is far off just like nobody knows that it's near either. That is not an established fact. Those are both just popular narratives in their respective camps. We could get there tomorrow or it could take usanother 400 years. Both are plausible outcomes.
Sure just like we could discover the Greek gods exist tomorrow.
The point is that there is no reason to plan towards AGI for those CEOs.
You guys, the truth is way more depressing. They are not even smart enough to be as evil as you're giving them credit for.
from Don't Look Up.
That is just utter bullshit. Hallucinations are a by-product of how LLMs work under the hood, not an intentional design choice. An AI that doesn't make mistakes would be orders of magnitude more profitable.
The prevalence of hallucination in LLMs is a design choice. It is a result of raising the 'temperature' which is just fancy speak for randomization so it doesn't spit out the same text for the same question over and over to make it look like it has nuance and whatever.
If it was consistent they would be able to reduce incorrect results, but they want it to look like a human response.
Tradeoffs like not understanding time and always giving an answer even when there isn't one.
Can you provide sources to “they want it to look like a human response?”
I have not read about that before.
The whole idea of LLMs is to replicate human language, as in have LLM output replicate language spoken by humans.
Here's something about improving it: Enhancing Human-Like Responses in Large Language Models
Here's a big thing about temperature: https://www.ibm.com/think/topics/llm-temperature
And when we're done fixing, we're unnecessary and have time to eat the rich \o/
One can dream .. why not replace billionaires with AI too?
Also, when you get used to relying on ai, you lose the practice and forget part fo your knowledge and skills. So, if you try to stop using ai, you will first have a steep decrease in productivity as you have to resharp your skills and remember a lot of stuff, and that creates a barrier preventing people from going out
Many people will have already forgotten what they studied in the first semesters when they finish the course lol
WIthout constant practice, most people's skills get rusty in a faster rate than we can imagine
and then fix the new mistakes it made while trying to fix the old ones and
Unless you pay more for the better model, then it makes slightly less mistakes.
I agree. Over time I have learned to be a lot more careful with the context window and periodically start over to keep it small. This was one of the reasons I left the free ChatGPT, it seemed to have a very small context window and was not graceful at all about going outside it. Gemini free tier was a lot more graceful about this. I think the advantage of the paid tiers is simply that they will try to manage for longer and report to you how big your context window has gotten. So you have more time and you know when to start thinking about starting from scratch again.
Gemini is 1 million now. But you should probably stop before then. And yes, it's surprisingly honest about whether it's the right model for your needs. It's recommended me to go with Claude for some of my projects.
I partially agree with the idea that AI is the same as industrial revolution. Yes, AI is just as revolutionary as steam engine.
Except we are currently at the stage steam engine was in ancient Greece and Roman Empire - a curiosity too expensive to use for value it provides and too crude to provide anything better.
Luckily ancient times didn't have billionaires playing speculative gambling on economy by trying to push any new thing as something revolutionizing right now.
Let the AI flop now, wait a few centuries and it will return better.
Better in terms of using less resources would be great.
AI will cause next productivity revolution when demand for things that AI can make will heavily outweigh supply created by human workforce. This is not the case now. We automated work of artists, people we generally joke about being unneeded beggars.
Industrial revolution happened because demand for goods was so big, people would rather buy mediocre factory-made things than artisan-made high quality goods. Common folk currently do not have enough money to spend on frivolous things AI makes.
I use local AI models to improve my process. I pay zero, and they do a pretty good job of taking the grunt work out of my tasks
I use AI for first drafts of work frequently. I'm also in the process of building a chief of staff agent, which it pretty cool. I pay $30/month. Not bad.
Not to be that guy, but that's some weak ass strawman bullshit.
Surely you can think of a more solid point of critisism than whatever that was.
Surely you can learn to spell "criticism" correctly.
It's not that. It's the idea that by being right just a bit more times than wrong, statistically this would bring out good results if you try it enough times. If that doesn't happen, it's really your fault 😀.
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