The "hide distracting items" option is the best thing Apple has done lately. Unfortunately there's not anything worth your time once you get that nav out of the way.
Yeah, exactly. Most employed programmers I ever met in the past decades actually cannot code and really really struggled (not anymore with AI) to do anything. And yet, usually because of a degree of some crap college, they have a job as something they cannot actually do.
Large (non software) enterprises. Mostly. Government departments. That type of thing. Like I said in another thread; have a wander with me over to Shell, Barclays and stuff like that; entire bags of (many outsourcing/external) 'programmers' who don't know how variables or loops work.
I was "ideologically tied" to using products created by people who clearly cared more about creating them and my experience using them than their competitors. That era seems to have finally passed.
If this phone dies before they right the ship, I'll be looking around for the first time in almost 20 years.
I'll settle for "gets voice to text right most of the time". Seriously, Apple is so far behind on the cheapest table stakes at this point I highly doubt their high standards is the issue.
Oh absolutely. The amount of times I have to pause, take a deep breathe and OVER-enunciate (still with mixed success) because my voice, pulse rise and my patience decreases with every absolute butchering (like not even "close but no cigar" but "how on earth did you come up with that?") Siri does to dictated text message in CarPlay...
I don’t even bother anymore. When it reads back the text message and asks if I want to send it I just laugh heartily and say yeah. Sometimes the recipient has to read it aloud and try to phonetically guess what the original words were.
Yeah, but isn't the voice recognition (as opposed to voice comprehension) separate from the supposedly LLM powered bit of Siri? I want better voice comprehension too, but I don't think that moving to a LLM powered Siri will solve that.
I agree with the other poster and gladly converted to a paying customer of Wispr because they did this right.
Honestly, I bet your question is exactly what every team adjacent to this problem at Apple is doing. Pointing fingers at each other and saying, "This isn't my problem. This is some other team." It's so egregiously broken that obviously no one inside there considers it their problem. I think this must be rampant at Apple currently. There's just no explanation for how their software has gone so completely to shit over the last ten years.
Could you elaborate? because that sentence made my brow wrinkle with confusion. I have thought to myself before that all business data problems eventually become time series problems. I'd like to understand your point of view on how LLMs fit into that.
Time series just means that the order of features matter. Feature 1 occurs before feature 2.
E.g, fitting a model to house prices, you don’t care if feature 1 is square meters and feature 2 is time on market, or vice versa, but in a time series, your model changes if you reverse the order of features.
With text, the meaning of word 2 is dependent on the meaning of word 1. With stock prices, you expect the price at time 2 to be dependent on time 1.
Text can be modeled as a time series.
A language model tells you the next character/token/word depending on the previous input.
Language models are time series.
It’s not an audacious claim.
Any student of nlp should have met a paper modeling text as time series before writing their thesis. How could you not meet that?
It is possible for LLMs to learn Bernford's law, implicitly. So they will be non-null predictors of time series data, because time series data is also Bernford-law-distributed [4].
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