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Most iPhone owners see little to no value in Apple Intelligence so far

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Re: Most iPhone owners see little to no value in Apple Intelligence so far

#281

Post by _1tem »

The one feature that I love is the Reduce Interruptions focus, which I now keep on all the time. Previous approaches like simply blocking notifications for most apps doesn't work, because some critical apps (like my Uber equivalent) also send spam notifications. The Reduce Interruptions focus quite accurately manages to hide unimportant notifications without me having to block everything.

Except this isn't generative AI, this is old-school machine learning classification which PG wrote about like 20 years ago.

Re: Most iPhone owners see little to no value in Apple Intelligence so far

#282

Post by belfalas »

ARandumGuy wrote: post #23
everdrive wrote: post #4

This is emblematic of the LLM race in general. We’re actively pressured to use co-pilot at work, and it’s crammed into every Microsoft product. I’m thankful that my iPhone is old enough not to use LLMs. Companies are afraid of being left behind in the new arms race, but that doesn’t actually mean that the technology actually present use-cases which most people need. (Worse are the meeting summaries or emails which ar…

What I don't understand is, what benefit is there for 99% of companies to get in on the ground floor of LLMs? If you're not developing your own model, you're effectively just beta testing someone else's model. And if the sales pitch of LLMs being able to do basically anything comes true, wouldn't most companies still get the same benefit if they just wait? It seems like a lot of companies are so terrified of missing…

> What I don't understand is, what benefit is there for 99% of companies to get in on the ground floor of LLMs?

"Mr. President - we must not allow an LLM gap!"

Re: Most iPhone owners see little to no value in Apple Intelligence so far

#284

Post by cyberpunk »

graemep wrote: post #269
rsynnott wrote: post #226

Earlier quoted context omitted.

> Ask it questions about accounting, other domains it knows Be very careful here if you're using it for anything important! LLMs are quite good at answering questions about accounting in ways which are superficially convincing-looking, yet also complete nonsense. "But the magic robot told me it was okay" will not fly in a tax audit, say.

Exactly my immediate reaction. Accounting has to follow very strict rules and needs some application of judgement. It might answer questions in a useful way, but you have to make sure you understand the answers and that they match accounting standards or tax rules (and one danger, at least in some places, is that they are different and you might apply the wrong one).

I couldn’t be arsed typing a reference number into my online banking for a bill payment the other and it was a copy protected pdf, so I fired a screenshot into Claude and GPT and asked it to extract the details I need and both of them repeatedly got the OCR wrong.

I don’t trust these at all for anything apart from code which I can at least read/rewrite.

It’s quite nice for unit tests I guess. And weird k8s manifests you only write now again like batch/v1 CronJob or whatever.

I’m not panicking about my job just yet..

Re: Most iPhone owners see little to no value in Apple Intelligence so far

#285

Post by ninininino »

everdrive wrote: post #4

This is emblematic of the LLM race in general. We’re actively pressured to use co-pilot at work, and it’s crammed into every Microsoft product. I’m thankful that my iPhone is old enough not to use LLMs. Companies are afraid of being left behind in the new arms race, but that doesn’t actually mean that the technology actually present use-cases which most people need. (Worse are the meeting summaries or emails which ar…

At companies where the average worker is less intelligent than the mean author of the mean piece of online content used in an LLM's training set, the output from the LLM might be more clever or more well-written than what the average worker at that org would generate themself.

At companies where the opposite is true, every LLM output feels like a shittier version of what an employee could have written, like the average Redditor's comment on any given situation.

Re: Most iPhone owners see little to no value in Apple Intelligence so far

#286

Post by rcarmo »

hansonkd wrote: post #244
harrall wrote: post #215

Earlier quoted context omitted.

I’ll tell you why this happens. You might use ChatGPT for a bit and your initial impressions will be great. It does what I ask of it! You might be aware that it makes mistakes sometimes, but when you use it, you don’t notice it because you’re using it interactively. Now if LLMs are just effective as your experience says, they are indeed extremely useful and you absolutely should see if they can help you. It’s only wh…

The other problem I find is that LLMs are changing so fast, that what you evaluated 6-12 months ago, might be completely different now with newer models. So the strengths and weaknesses quickly can become outdated as the strengths grow and weaknesses diminish. When the first batch of LLMs people tried in 2023 had a lot of weaknesses. At the end of 2024, we can see increases in performance in speed and the complexity…

Realism eventually sets in and they move to 3 and 4.

Re: Most iPhone owners see little to no value in Apple Intelligence so far

#287

Post by Smaug123 »

llm_nerd wrote: post #251
layer8 wrote: post #233

Earlier quoted context omitted.

Everything isn’t well-trodden. I’m mostly doing non-glue, heavily domain knowledge-based work. The main issue I’m running into is that explaining the domain and context to the LLM will take significantly more time than just doing the work myself, and also that parts of the necessary knowledge and most of the source code are NDA-protected, so only a local LLM would do.

Sigh. Everything is extremely well-trodden at the code level. You're taking some inputs and generating some outputs. You're calling some functions. You're manipulating some strings or lists or sets. You're sorting some things or filtering things. You're building a client to a given API. You're doing some messaging and some encryption. I guarantee that your code isn't remotely as unique or novel as you think it is. Of…

"It's all just code, how hard can it be, and your NDAs don't apply" is certainly a take, but some people do actually solve problems whose solutions aren't already on the Internet and are forbidden from exfiltrating code! The fact that you don't solve such problems and are not bound by such NDAs is not a huge piece of evidence, to be honest.

Can you imagine even in principle a piece of evidence that would convince you otherwise?

Re: Most iPhone owners see little to no value in Apple Intelligence so far

#288

Post by rcarmo »

tananan wrote: post #246
harrall wrote: post #215

Earlier quoted context omitted.

I’ll tell you why this happens. You might use ChatGPT for a bit and your initial impressions will be great. It does what I ask of it! You might be aware that it makes mistakes sometimes, but when you use it, you don’t notice it because you’re using it interactively. Now if LLMs are just effective as your experience says, they are indeed extremely useful and you absolutely should see if they can help you. It’s only wh…

This definitely resonates but I'm left wondering why there hasn't been a collective "sobering up" on this front. Not on a personal/team/company level, but just in terms of the general push to cram AI into everything. For how much longer will new s assault us in software where it ostensibly won't be that useful? It seems that the effort required to make an LLM work robustly within a single context (spreadsheet, worddo…

I can tell you that there has been a lot of sobering up — but that the news isn’t made by those people…

Re: Most iPhone owners see little to no value in Apple Intelligence so far

#289

Post by rcarmo »

bitcurious wrote: post #157
mukunda_johnson wrote: post #116

Earlier quoted context omitted.

I said the same thing to a previous company before I was let go. Confused why they were butchering their business strategy in favor of a gold rush. The main benefit of LLMs was already abundantly clear: literally just chat with it in day to day work when you can. Ask it questions about accounting, other domains it knows, etc. That's like up to 10-20% performance increase on tasks if you align OK. Still, they were in…

> The main benefit of LLMs was already abundantly clear In my industry the main benefit (so far) is taking all of our human-legible unstructured data and translating it into computer-legible structured data. Loving it.

How do you do quality control?
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