Whoa, whoa, whoa, on occasion, if the planets align just right, I can also get Siri to set a reminder (and at least half the time Siri gets it 80% right).
LLM Siri cannot come fast enough.
LLM Siri cannot come fast enough.
Being able to chat casually with low latency, correct yourself, switch languages mid-sentence, incorporate context throughout a back-and-forth conversation etc. turns talking to these kinds of systems from a painful chore into something that can actually add value.
For natural language processing you need a different kind of neural network don't you?
The precise mechanism LLMs use for reaching their probability distributions is why they are able to pass most undergraduate level exams, whereas the Markov chain projects I made 15-20 years ago were not.
Even as an intermediary, word2vec had to build a space in which the concept of "gender" exists such that "man" -> "woman" ~= "king" -> "queen".
Maybe I'm asking for an explanation :)
Since you seem to understand the mechanism, can you do a 3 line summary please?
Make a bunch of neural nets to recognise every concept, the same way you would make them to recognise numbers or letters in handwiting recognition. Glue them together with more neural nets. Put another on the end to turn concepts back into words.
For a less wrong but still introductory summary that still glosses over stuff, about 1.5 hours of 3blue1brown videos, #4-#8 in this playlist: https://youtube.com/playlist?list=PLZHQObOWTQDNU6R1_67000Dx_...
... Oh interesting. And those concepts are hand picked or generated automatically somehow?
> For a less wrong but still introductory summary that still glosses over stuff, about 1.5 hours of 3blue1brown videos
Sorry, my religion forbids me from watching talking heads. I'll have to live with your summary for now. Until I run into someone who condensed those 1.5 hours in text that takes at most 30 min to read...
Fully automated.
> Sorry, my religion forbids me from watching talking heads.
What about professional maths communicators who created their own open sourced python library for creating video content and doesn't even show their face on most videos?
You're unlikely to get a better time-quality trade-off on any maths topic than a 3blue1brown video.
He's the kind of presenter that others try to mimic because he's so good at what he does — you may recognise the visuals from elsewhere because of the library he created[0] in order to visualise the topics he was discussing.
[0] https://docs.manim.community/en/stable/faq/installation.html
There's also a playback speed slider in YouTube. I use it a lot.
"The user has requested 'remind me to pay my bills 8 PM tomorrow'. The current date is 2025-02-24. Your available commands are 'set_reminder' (time, description), 'set_alarm' (time), 'send_email' (to, subject, content). Respond with the command and its inputs."
A Markov chain (only using the probabilities of word orders from sentences in its training set) could never output a command that wasn't stitched together from existing ones (i.e. it would always output a valid command name, but if no one had requested a reminder for a date in 2026 before it was trained, it would never output that year). No amount of documents saying "2026 is the year after 2025" would make a Markov chain understand that fact, but LLMs are able to "understand" that.
I don’t ask Siri for facts (just like I don’t ask LLM’s for facts). As long as it can correctly, understand what and when I ask to be reminded about something, that would be a huge improvement for me.
That and being able to map “Bedroom Fan”/“Bedroom Fan Light” to “Bedroom Fan Lights” without having to specify aliases (and even then it hearing me wrong).
I’ve see Home Assistant working with LLMs and it can understand groupings that I never explicitly defined which is very nice. I can say “Turn off all overhead lights” and it will find all my overhead lights and turn them off. Siri/Alexa can’t handle those tasks currently.
Try asking ChatGPT to remember some obscure film you can only remember very hazy details about - really random stuff - I bet it will identify it for you I a few tries.
You can also totally miss spell words, use messed up grammar and it has no problems at all
I don't think it's been demonstrated that Apple could make Siri better with an LLM.
...that will grind your request to set email Vacation Mode through the world's worst speech-to-text, jam the text into Chat GPT, and spend the next three minutes reading you an uninterruptible 3 minute essay about violence.
I had a birthday invite with clear date and time: so I asked it to add to my calendar.
It just said, “add what?” repeatedly until finally deciding it needed to send it to chatGPT to help. Which it did, then just returned the text in the image without taking any action. Then I say “can you add the event now?”
“Add what?”
So I try copying the text from the image in photos and giving that to Siri to add as an event. Surly this can work?!?
Nope.
It’s just utterly pitiful.