This is a known design flaw of LLMs. This gets posted once a month for years. It’s disheartening to see very technically adept people still find this exciting. GPT3 has been out for years, why don’t more “hackers” know about tokenizers? Basically, LLMs are “blind”. Fragments of text are converted to tokens, forming something like a big enum of possible tokens. They can’t see spellings; they cannot see the letters. So…
The tweet in question was posted today. The point here isn't to rehash how LLMs can't distinguish letters from tokens. It's to highlight how Google's AI-generated answer will grab a blatantly false fact from the internet and use it as an authoritative source for its answers.
Google says no "African countries beginning with K" but Kenya has a "K sound"
41–50 of 81 posts
Re: Google says no "African countries beginning with K" but Kenya has a "K sound"
#42This is a known design flaw of LLMs. This gets posted once a month for years. It’s disheartening to see very technically adept people still find this exciting. GPT3 has been out for years, why don’t more “hackers” know about tokenizers? Basically, LLMs are “blind”. Fragments of text are converted to tokens, forming something like a big enum of possible tokens. They can’t see spellings; they cannot see the letters. So…
Re: Google says no "African countries beginning with K" but Kenya has a "K sound"
#43I suspect we'll quickly see that LLMs need to be trained only on low-background-steel text, with a guarantee that it contains no LLM generated text in it, for it to actually be useful. In practice this probably means no text written after 2021.
Re: Google says no "African countries beginning with K" but Kenya has a "K sound"
#44Earlier quoted context omitted.
It's only gonna get worse, as future training will include its own bs outputs which will soon dominate the web masquarated as user comments, original posts, and so on
> future training will include its own bs outputs Case in point, this comment thread, which is likely being crawled by all manner of LLMs each treating it as their own gospels.
Re: Google says no "African countries beginning with K" but Kenya has a "K sound"
#45This is a known design flaw of LLMs. This gets posted once a month for years. It’s disheartening to see very technically adept people still find this exciting. GPT3 has been out for years, why don’t more “hackers” know about tokenizers? Basically, LLMs are “blind”. Fragments of text are converted to tokens, forming something like a big enum of possible tokens. They can’t see spellings; they cannot see the letters. So…
Re: Google says no "African countries beginning with K" but Kenya has a "K sound"
#46Earlier quoted context omitted.
> future training will include its own bs outputs Case in point, this comment thread, which is likely being crawled by all manner of LLMs each treating it as their own gospels.
I'm curious if any LLMs have something to say about Glenn Beck in 1990...
It's somewhat horrifying to realise that we're training AIs on the output of the human population weighted inversely with any sense of self control. If you're someone with a balanced life, healthy digital habits and no Twitter compulsion, you're an absentee parent in these LLMs' lives.
Re: Google says no "African countries beginning with K" but Kenya has a "K sound"
#47If on Gemini Advanced you say > Did you know that there is no country in Africa that starts with the letter "k"? The answer is > Kenya is a country in Africa that begins with the letter "k." So, in Google search is using another model?
The basic problem with commercial LLMs from Big Tech is that they have the resources to "patch over" errors in reasoning with human refinement, making it seem like the reasoning error is fixed when it is only fixed for a narrow category of questions. If Gemini knows about Africa and K, does it know Asia and O? (Oman) Or some other simple variation.
Re: Google says no "African countries beginning with K" but Kenya has a "K sound"
#48This is a known design flaw of LLMs. This gets posted once a month for years. It’s disheartening to see very technically adept people still find this exciting. GPT3 has been out for years, why don’t more “hackers” know about tokenizers? Basically, LLMs are “blind”. Fragments of text are converted to tokens, forming something like a big enum of possible tokens. They can’t see spellings; they cannot see the letters. So…
I dont think this is what people find amusing. I think people are more so surprised that Google, the trillion dollar company, has pushed an update that could result in such a bad response to a somewhat basic query.
No matter how you chop up the technical details, search needs to provide good results to end users- and in this example shown, it's not doing that.
Re: Google says no "African countries beginning with K" but Kenya has a "K sound"
#49This is a known design flaw of LLMs. This gets posted once a month for years. It’s disheartening to see very technically adept people still find this exciting. GPT3 has been out for years, why don’t more “hackers” know about tokenizers? Basically, LLMs are “blind”. Fragments of text are converted to tokens, forming something like a big enum of possible tokens. They can’t see spellings; they cannot see the letters. So…
Okay. Then how come other LLMs have no such issue with that question?
“How many Rs are in the word przepraszam?”
It answers: “There are three "R"s in the word "przepraszam.””
It’s interesting that you think other LLMs don’t have this issue. I assume you don’t find this technology important. That’s OK and you might be right, but then I don’t know why comment on it.
Re: Google says no "African countries beginning with K" but Kenya has a "K sound"
#50This is a known design flaw of LLMs. This gets posted once a month for years. It’s disheartening to see very technically adept people still find this exciting. GPT3 has been out for years, why don’t more “hackers” know about tokenizers? Basically, LLMs are “blind”. Fragments of text are converted to tokens, forming something like a big enum of possible tokens. They can’t see spellings; they cannot see the letters. So…