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
this post was submitted on 28 Jun 2026
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Showerthoughts
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A "Showerthought" is a simple term used to describe the thoughts that pop into your head while you're doing everyday things like taking a shower, driving, or just daydreaming. The most popular seem to be lighthearted clever little truths, hidden in daily life.
Here are some examples to inspire your own showerthoughts:
- Both “200” and “160” are 2 minutes in microwave math
- When you’re a kid, you don’t realize you’re also watching your mom and dad grow up.
- More dreams have been destroyed by alarm clocks than anything else
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I refuse to use a computer or browser without ublock origin. No fucking way I'm accepting that poisonous shit they call ads.
Omg please link
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. They are trying to turn lead into gold using a stove and a skillet.
Mind quoting the part where I claimed LLMs will become AGI?
Are you an AI shill?
If not, then I didn't say you claimed that. Altman and the other shills do.
Then I don't see how your response in any way relates to what I said.
Whether you think they'll ever get there or not is completely irrelevant. That is still what they're after and the reason for the massive upfront investments.
This is the entire business model for most if not all of tech really
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.
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
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
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.
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?
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.
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 😀.