I guess I’d rather have something approaching bittorrent, edonkey/kad, ipfs, blockchain, webarchives.

You have named networks that are federated together, and people can publish to the networks they are invited to or sign up for. The networks survive even with individual servers go down. Data is cached all over at the edges.

Your version is just way too susceptible to rot, unless you see that as a feature. I see it as most of the good content falling into the ether sooner rather than later.

Also can use people viewing the pages as hosts https://gabe.durazo.us/tech/ephemeral-p2p-project/

If we decentralize messenging and social media, all of those protocols you mentioned will survive.

I’m not specifically saying to use those protocols as much as the philosophy of hashes pointing to blocks that are redundantly spread far and wide.

Minecraft servers are a poor metaphor for what ideal decentralized social media should look like. They are the opposite of robust.

The problem with distributed storage is they place too high of a requirement on edge nodes, which people have to host, and they synchronize too slowly for real time messenging. If I upload a 1GB video to my server's chat, that storage load should not be replicated on many other nodes. Who pays for that disk space? The federated model is a lot more robust in this regard.

As far as archiving is concerned, many archiving orgs will pop up if their discussion servers and public facing websites can't be traced or easily shutdown. The protocol itself can't archive things, but it protects the people doing the archiving work and gives a place for websites like Annas Archive to live without relying on IP and DNS. The idea is to amass enough uncensorable social power so that such efforts can't be banned or shutdown, then you can use existing protocols like BitTorrent all you want.

How would you overcome a local llm embedded into a keyboard?

Specs only really matter to many relative to battery life. A higher specced system may unnecessarily burn energy.

The thing about "switching" is you just need to capture the next generation. Kids who have an iPhone 17e. Then go off to college.

Also, there are plenty of users such as myself that won't be "switching" but will instead be augmenting my AMD desktop with a laptop. I've not purchased a new Mac since year 2000-ish but I do play to purchase a Neo.

Which part is sensitive? Social is public, income is private but what is someone going to do with it?

That's dream info for targeted advertising and political manipulation.

It's not good in some job negotiations if someone has a very clear picture of what your current net worth and income is. Also in some purchases companies could price discriminate more effectively against you.

Now that's a question I'd feel more confident having answered by an LLM. Personally, I'm tired of arguing with "nothing to hide", which (no offense) is just terribly naive these days.

I find it really weird too, like, haven’t we done this? Also struggle to understand the motivation for arguing from this direction. Do people forget it’s the normal, default position NOT to be spied on?

Id argue humans have some sort of parallelness going on that machines dont yet. Thoughts happening at multiple abstraction levels simultaneously. As I am doing something, I am also running the continuous improvement cycle in my head, at all four steps concurrently. Is this working, is this the right direction, does this validate?

You could build layers and layers of LLMs watching the output of each others thoughts and offering different commentary as they go, folding all the thoughts back together at the end. Currently, a group of agents acts more like a discussion than something somewhat omnipotent or omnitemporal.

"Reasoning" needs to go back to the drawing board.

Reasonable tasks need to be converted into formal logic, calculated and computed like a standard evaluation, and then translated back into english or language of choice.

LLMs are being used to think when really they should be the interpret and render steps with something more deterministic in the middle.

Translate -> Reason -> Store to Database. Rinse Repeat. Now the context can call from the database of facts.

>ChatGPT image gen is just straight up better

Yet so much slower than Gemini / Nano Banana to make it almost unusable for anything iterative.

When Jobs took over Apple he didn’t have a device in a quarter of the world’s pocket.

Apple absolutely needs a management layer, both for school and for family. Apple family controls are sorely broken.

Our work macs are tied into microsoft’s intune thingy, pretty sure that’s enough for most orgs.

Not that i’m a fan of it, but meh it exists.

That’s not free. Apples Apple ID management is atrocious. How do you password reset an ID you own?

They need to move to having the students ID under both their parents and the school, detachable from the school when a kid moves.

The devices need to be enrolled to the org and then act as thin clients so any kid can log onto any laptop, not have the laptop locked down to a specific kid.

Apple Parental controls are either controllable on the kids device or one parents device but not both at the same time and definitely not two parents at the same time. Whose bright idea was it not to allow two parents to see and manage a kids settings from their own devices, at the same time. That’s a lot of the world that doesn’t appear to anticipate two parents wanting to manage a kid from separate accounts, but Apple should know better.