Couldn't you grab the image from the Wikipedia page of that location? For example searching for "Deadvlei" from the blog post gives this which has a photo:
Those citations come from it searching the web and summarizing, not from it's built in training data. Processes outside of the inference are tracking it.
If it were to give you a model-only response it could not determine where the information in it was sourced from.
Any LLM output is a combination of its weights from its training, and its context. Every token is some combination of those two things. The part that is coming from the weights is the part that has no technical means to trace back to its sources.
But even the part that is coming from the context is only being produced by the weights. As I said, every token is some mathematical combination of the weights and the context.
So it can produce text that does not correctly summarize the content in its context, on incorrectly reproduce the link, or incorrectly map the link to the part of its context that came from that link, or more generally just make shit up.
OK, I'll try to err towards the "5" with this one.
1. We built a machine that takes a bunch of words on a piece of paper, and suggests what words fit next.
2. A lot of people are using it to make stories, where you fill in "User says 'X'", and then the machine adds something like "Bot says 'Y'". You aren't shown the whole thing, a program finds the Y part and sends it to your computer screen.
3. Suppose the story ends, unfinished, with "User says 'Why did the chicken cross the road?'". We can use the machine to fix up the end, and it suggests "Bot says: 'To get to the other side!'"
4. Funny! But User character asks where the answer came from, the machine doesn't have a brain to think "Oh, wait that means ME!". Instead, it keeps making things longer in the same way as before, so that you'll see "words that fit" instead of words that are true. The true answer is something unsatisfying, like "it fit the math best".
5. This means there's no difference between "Bot says 'From the April Newsletter of Jokes Monthly'" versus "Bot says 'I don't feel like answering.'" Both are made-up the same way.
> Google's search result AI summary shows the links for example.
That's not the LLM/mad-libs program answering what data flowed into it during training, that's the LLM generating document text like "Bot runs do_web_search(XYZ) and displays the results." A regular normal program is looking for "Bot runs", snips out that text, does a regular web search right away, and then substitutes the results back inside.
Every distracting visual element of liquid glass looks like a tiny Ad to me which is constantly trying to distract me from what I am doing and trying to grab my attention. Super annoying.
I really try not using JavaScript unless absolutely needed. On my latest project, the whole site actually functions without JavaScript and is server side rendered. However, there's some small piece which I really needed JavaScript for couple reasons.
Basically, I have a site which collects the top STEAMD posts from places like HN, lobsters, tildes, slashdot, bear, reddit etc and displays them in chronological order. I wanted a way for users to block posts with certain keywords or from specific domains. I didn't want to do this server side for both performance reasons plus privacy reasons. I didn't want users to need signing up or something to block. I also didn't want to collect block lists for privacy reasons. So, I resorted to using JavaScript and local storage. All posts within the filter for the date are sent and JavaScript is used to block posts with keywords before displaying. So my server never knows what keywords are blocked.
I want to try once again to learn piano. Previously, many years ago, I took lessons for 1.5 years but gave up because it was just too hard and I wasn't enjoying it. This time, I plan on trying to self learn. Been watching YouTube tutorials recently and as soon as I return from my trip, I will try once again.
I have bought the Nancy Faber adult piano adventures book 1 too.
Learning to play individual notes from sheet music only helps you learn one song. The breakthrough for me was thinking in musical structure.
- There are 12 keys on the piano just repeated
- A scale can start on any of those 12 keys
- The "home" key of the scale get labels with a roman numeral one, I
- The rest of the keys in the scale get roman numerals ii,iii,IV,V,vi,vii
- The I,IV,V are all upper case to represent major chords, the lower case for minor chords
- Most pop songs use I,IV,V from a scale. In C-major scale, C, F, G major chords.
- You can start on any key on the piano and if you play the same sequence of I, IV, V, you'll get the same song, just transposed into a different key. (the scales are slightly different due to even temperament for advanced ears)
So, learn songs by the chord structure first. It is easier to remember and you'll start to recognize patterns in other songs and unlock them faster.
After playing guitar for 25 years, I quit guitar and got a digital piano.
I practiced enough to learn to play Satie - Gnossienne No. 1 in the right hand and then sold the piano.
My fav music is Chopin, Satie, Ravel, Debussy, Rachmaninoff, Ligeti on piano.
The distance between starting from zero on the guitar, to anything ever composed for the guitar is a 100X less than starting from zero on piano to Ligeti.
Learning to solo on electric guitar, play the flute, play the alto sax to me makes so much more sense than trying to learn to play piano or classical guitar as an adult. Classical guitar is hard enough. Piano is just a whole other level to that.
A monophonic instrument is just going to be so much better bang for the buck in terms of time woodshedding. Or a percussion instrument.
Nope, haven't started yet, since I'm out of town and my keyboard is at home. But yeah, I'll be self-learning! I did it with guitar a few years ago and it worked for me (to a point; I never got amazing at guitar).
I plan on learning driving this year too! I think I will still continue using public transit because I enjoy doing research things while on transit (which of course can't be done while driving) but I want to learn driving.
https://en.wikipedia.org/wiki/Deadvlei
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