To be honest, I’m not sure what we’re arguing - we both seem to have a sound understanding of what LLM is and what it is not.

I’m not trying to defend or market LLM, I’m just describing the usability of the current capabilities of typical LLMs.

It goes a tad bit beyond classical conditioning… LLM’a provides a much better semantic experience than any previous technology, and is great for relating input to meaningful content. Think of it as an improved search engine that gives you more relevant info / actions / tool-suggestions etc based on where and how you are using it.

Here’s a great article that gives some insight into the knowledge features embedded into a larger model: https://transformer-circuits.pub/2024/scaling-monosemanticity/

That’s fair, but you are misunderstanding the technology if you’re bashing the AI from Apple for making macOS less secure. Most likely, it will be just as secure as for example their password functionality, although we don’t have details yet. You either trust the OS or not.

Microsoft Recall was designed so badly, there’s no hope for it.

macOS and Windows could already be doing this today behind your back regardless of any new AI technology. Don’t use an OS you don’t trust.

That’s why it’s on the OS-level. For example, for text, it seems to work in any text app that uses the standard text input api, which Apple controls.

User activates the “AI overlay” on the OS, not in the app, OS reads selected text from App and sends text suggestions back.

The App is (possibly) unaware that AI has been used / activated, and has not received any user information.

Of course, if you don’t trust the OS, don’t use this. And I’m 100% speculating here based on what we saw for the macOS demo.

Yes definitely, Apple claimed that their privacy could be independently audited and verified; we will have to wait and see what’s actually behind that info.

He sort of invented it, so you have to think he’s commenting on the concept here, not the implementation.

I have tried a lot of medium and small models, and there it just no good replacement for the larger ones for natural text output. And they won’t run on device.

Still, fine-tuning smaller models can do wonders, so my guess would be that Apple Intelligence is really 20+ small and fine tuned models that kick in based on which action you take.

I do agree, but privacy in 2024 is sadly about trust, not technology, unless you yourself can design and create every chip used in your devices and in the network cells you connect to. No setting on your device on “do not allow…” have any meaning without trust in the creator.

Unless you are designing and creating your own chips for processing, networking etc, then privacy today is about trust, not technology. There’s no escaping it. I know iPhone and Apple is collecting data about me. I currently trust them the most on how they use it.

I mean, that’s fair, I personally use Apple devices specifically because I trust them the most on privacy, but if you don’t trust Apple with privacy, which is a 100% valid take to have, then of course this mayor selling point of their marketing becomes moot.

How so? Many people want to use AI in privacy, but it’s too hard for most people to set it up for themselves currently.

Having AI tools on the OS level so you can use it in almost any app and that is guaranteed to be processed on device in privacy will be very useful if done right.

Care to elaborate?

The suspicious parts to me was that they didn’t show much of the private cloud stuff, how much it would cost, and that they still feel the need to promote ChatGPT .

I mean, that’s fair, if you don’t believe in his integrity than this news have very little value to you.

It’s his distinct style that he has kept since before most of us tried anything like ChatGPT etc, so personally I welcome his consistency.

No it isn’t. He for example evaluate that Kagi and Marginalia get the same score if you have to read as far down as to the 10th result for Kagi, while Marginalia has no answer. How is that the same score? There is no explanation. There is a lot of text, and then in the end he has made some subjective choices.

It will be interesting to see what the company that buys all their data will do with it.

This was really annoying in windows 10, but in windows 11 I can’t remember the last time I had to go into control panels. I don’t do too much odd stuff, but still.

There is no excuse for LastPass and it absolutely should not be treated with your passwords or secrets.

Afaik most Tesla accidents are due to people not used to such a powerful car / acceleration and bump into stuff? I don’t think the majority of insurance cases for Tesla has anything to do with self driving.

I’m late but a couple I didn’t see mentioned:

BeardMeetsFood - funny guy doing eating challenges, never thought I could like this kind of content, and the only one I watch in this category

Itchy Boots - Amazing travel videos from a Dutch girl riding her motorcycle through remote places on all continents. Very positive meetings with people all over the earth to give you back hope for humanity.

Nikolai Schirmer - Ridiculously high quality alpine skiing videos, mostly from Norway. Fantastic story telling and nature combined with too steep skiing. Shouldn’t be possible to get this quality for free.

Expedition Evans - very enjoyable videos of sailboat life for a couple and their two dogs.

Beau Miles - best story teller I know of. Adventurer that mostly make videos about local projects where he’s doing something that involves running very long while philosophizing about interesting topics.

Harry Mack - the most insane freestyle rapper ever, usually makes content on the spot for people on the street or online.

Sheena Melwani - Whenever I need a laugh. Her husband Trid is hilarious. Short videos of them laughing and joking basically.

Iron Chef Dad - wholesome videos with his son, for example making gourmet out of fast food.

Galdoc’s Tutorials - great DevBlog content from making a Factorio mod. Development, debugging, designing, Blender. Fairly technical. Great voice.

Stuff Made Here - great engineering channel, makes crazy contraptions like a moving basket hoop you’ll always hit, a hair cutting robot, auto-aiming bow etc.