Ok, here's a (hopefully) better worded puzzle, again made up by myself right now.
There are 12 frogs. Five are green, 3 red, and 4 yellow. Two donkeys are counting the frogs. One of the donkeys is yellow, the other green. Each donkey is unable to see frogs that are the same color as itself, also each donkey was careless and missed a frog when counting. How many frogs does the green donkey count?
GPT4 answers 6 every time for me.
My point is that GPT is capable of a certain amount of "reasoning" about puzzles that most certainly don't exist in it's training data. Playing with it, it's clear that in this current generation the reasoning ability doesn't go very deep - just change the above puzzle a little to make it even slightly more complicated and it breaks. The amazing thing isn't how good at reasoning it is, but that a computer can reason at all.
It clearly says he didn't see some of them either at all or as unicorns. The correct answer is 11.
Edit: I do see now that "He saw" kind of messes the question up. My intent would have been better expressed with "There were". But again this proves my point! GPT4 is able to (most of the time) correctly work through the poor wording and interpret the question the way I meant it, and I think the way most people would read it.
>> A magical frog was counting unicorns. He saw 5 purple unicorns, 2 green unicorns, and 7 pink unicorns. However, he made a mistake and didn't see 2 unicorns: one purple and one green. Also, since he was a magical frog, he didn't see unicorns that were the same color as himself. How many unicorns did he count?
It correctly answers 11 for me.
To me this has demonstrated:
* "Understanding": It understood that "didn't see" implies he didn't count.
* "Knowledge": It knew enough about the world to know that frogs are often green.
* "Reasoning": It was able to correctly reason about how many should be subtracted from the final result.
* "Math: It successfully did some basic additions and subtractions arriving at the correct answer.
Crucially, I made this up right here on the spot, and used a dice for some of the numbers. This question does not exist anywhere in the training corpus!
I think this demonstrates an impressive level of intelligence, for what up until about a year ago I thought a computer would ever be capable of in my lifetime. Now in absolute terms of course current gen ChatGPT is clearly far less good at reasoning and understanding than most people (well, specifically it seems to me that it's knowledge and reasoning are super-humanly broad, but child-level deep).
Can future improvements to this architecture improve the depth up to "AGI", whatever that means? I have no idea. It doesn't automatically seem impossible, but maybe what we see now is already near the limit? I guess only time will tell.
Oh, yes, pairs of words is a good idea. I also have a bilingual dictionary and can generate a prompt for each entry something like "here's a word in <lang_a>, write a dictionary definition for it in <lang_b>: <lang_a_word>: <lang_b_definition".
I have a number of book length texts, most only in the target language, and a few bilingual or multilingual. For the bilingual and multilingual texts, I can script out probably several thousand pairs of "translate the following text from <source_lang> to <target_lang>: <source_lang_text> <target_lang_text>". Do I need to vary the prompt and format, or can I expect the LLM to generalize to different translation requests? Is there value in repeating the material in different lengths? One set of sentence lengths, another paragraph, and another page or chapter length? Also what should be done with the monolingual texts, just ignore them?
People who practice Breatharianism claim to live without food and get sustenance from various mystical sources, including sunshine (they either don't live very long or else are frauds and do secretly eat).
This is something I've tried to figure out this week.
I tried Youtube Kids because I wanted the content to be pre-approve only, I liked the toddler friendly controls, and the app can go in single app mode on the iPad. It's subscription, which is fine, but the main problem is they won't let me approve the content I want. I can see some great kids stories and learning videos in our language on regular Youtube, but can't seem to find a way to get them into the Youtube kids app. (And I certainly am not going to turn her loose on regular Youtube.)
There don't seem to be any other apps that do what I want so I ended up setting up a Plex media server and use yt-dlp to download the videos for her. This works pretty well, but is a lot more work. And the app is not great.
> The attacker conducted a series of sophisticated voice phishing attacks under the guise of various trusted organizations attempting to convince the victim to accept multi-factor authentication (MFA) push notifications initiated by the attacker.
This is why we need webauthn everywhere! Push notifications and friends are all susceptible to this kind of attack, webauthn is not.
I haven't really talked to anyone who's contested the fact that thousands of Russian soldiers and Russian speaking Ukrainian civilians have been killed.
Yes, of course it's likely there are some who oppose the war but are uneasy about expressing that to a stranger. I was just surprised to get no support at all.
I've been text messaging with random Russians a bunch over the last couple weeks and have had conversations with ~100 people, some of them quite extensive. Not once has anyone really condemned the war. A few are cynical about their government, people, and the rest of the world, and sad that this has to happen. But the vast majority weren't even that. Just straight up nationalist, repeatedly saying that they had to do something or they would be destroyed by the west. And insisting that Ukraine belonged to Russia. Absolutely no-one denied the facts as far as the toll on human life or the destruction of Ukraine, and not a single person thought its a "special operation" instead of a war. I heard a lot of what seems to me to be extreme paranoia about NATO, America, and Nazis just waiting for an opportunity to invade and destroy them.
The whole experience has been kind of shocking to me. I went into this believing that Russians where like innocent captives of evil politicians and oligarchs and had no idea what was going on. But based on the conversations I've had, that is not the case at all. They know exactly what is going on as far as the cost in human lives, and believe it's necessary to ensure their own survival.
I had a good laugh when I saw my grandma using her iPad calculator app to do her finances. The app was displaying an an ad, she didn't want to see it and stuck a sticker over that part of the screen. :-)
Is my grandma's sticker going to be illegal in this forced advertising future? If not, where in the stack between the webpage and your eyes will it start to be legal to block? What about blocking in the graphics stack in the OS? The display? A sticker in front of the display? A smart film in front of the display? Smart glasses? Will it be illegal to avert your eyes from advertisements, à la Black Mirror?
The moon doesn't visibly have bulk or mass like a ball, house, or mountain does. And I was referring to earth as the entire world. Edit: But the landscape, fields, meadows, districts, states, countries, and continents are all still flat.
Edit 2: Now that I think about it, I should have used "spherical" to describe that category rather than "round."
Yes, sort of, but a lot more than counting. I think Thai has counting words too, but I think they are not as central to the grammar or as flexible as Karen classifiers.
Sort of like you can say "a sheet of paper" or "5 sheets of paper" in English to count papers, but imagine you could also say "typing on a sheet", or "your sheet is full of typos", or "could you hand me a sheet", where "sheet" is a broad category and that you mean a sheet of paper comes from the context in which the sentence is spoken.
Edit: Another interesting use for them is disambiguation. Super useful if, like me, you're just learning and don't always nail the tones or pronunciation. For example, I might throw in the animal classifier in "ga cha ta doo" just to make sure no-one misunderstands my poor pronunciation of "elephant" as "mountain". That's a crude example, but native speakers benefit from the disambiguation too in colloquial speech.
The Sgaw Karen language from Thailand and Burma has a system of what I've always called classifiers, but reading this, it sounds like they might be properly called genders too?
Everything is classified into one of a bunch of classifiers, where a bunch might be a few dozen? Maybe hundreds, I'm not sure.
Some really common ones:
Rational beings like people, God, angles, etc. = "gha" (but not spirits, demons, ghosts, etc.; they are animals)
Flat things like the earth, plates, leaves, fields, the sky, etc. = "bae" (but modern Karens sometimes use "round" for the earth and moon instead)
Round things like balls, houses, rocks, a person or animals head, eyes, etc. = "pler"
Long skinny things like a stick, snake, road, etc = "bo"
Most kinds of animals = "doo" (but fish and birds are flat, and insects are round)
These words show up all over the place in basic grammar. Like "5 cows" would be "cows 5 doo". Sometimes they stand in for the actual name of what you're talking about, for example you might say "this cow" as "ta doo ee" and drop the word for cow entirely.
Ha! Around that age (actually probably a little older) I begged and pleaded with my mom to get saltpeter and sulfur to make firecrackers and rockets. Eventually she relented and got it for me, but with the stipulation I had to wear a welding helmet, heavy coat, and heavy rubber gloves while working with it, and that only under supervision... Anyway, the actual gunpowder I managed to make didn't really work, just kind of fizzled out. I never managed to get a firecracker to actually make any noise. It sure was a lot of fun though. :-)
Maybe so.. but technology wise I don't think there's anything here that doesn't exist yet or that is even exceptionally advanced. It's just a matter of putting it all together and writing the code.