Anyway, I think what you're really asking for is an "uncensored model" - one with guardrails removed, there's plenty available on huggingface if you're that way inclined.

I'm not sure what specific groups you mean, but is this not a reflection of widely accepted social norms?

But yes, it's an emerging area and I am questioning if I am sharing too much with it. I 100% would not want my chat histories exposed.

Saying that though, facebook can read my highly personal messages, google every email, my phone is tracking my every move, I have to sign up for random janky websites for my kids school where ther medical info is stored, etc.

LLM chat history presents a new risk and a different set of data, but it's a crowded minefield already.

Do you have the memory feature disabled? I have the feeling this in particular is doing absolutely loads behind the scene, e.g summarising all conversations and adding additional hidden context to every request.

I can start a new chat in the UI right now, ask it what my job is, what my current project is, how many kids I have, what car I drive etc. It'll know the answer already.

I think it's this conversation history - or maybe better yet if we think of it as this "relationship" - that people are saying is going to make it hard to move.

I use OpenAI a lot on the paid plan via the UI. It now knows absolutely loads about me and seems to have a massive amount of cross conversational memory. It's really getting very close to what you'd expect from a human conversation in this regard.

Sure the model itself is still stateless, and if you use the API then what you say is true.

But they are doing so much unseen summarisation and longer context building behind the scenes in the webapp, what you see in the current conversation history is just a fraction of what is getting sent to the model.

The results seemed impressive until I noticed some of the "Thinking" statements in the UI.

One made it apparent the model / agent / whatever had read the title from the screenshot and was off searching for existing ABC transcripts of the piece Ode to Joy.

So the whole thing was far less impressive after that, it wasn't reading the score anymore, just reading the title and using the internet to answer my query.

It certainly felt like it could have been sent off to a lower paid country for a human to tot up.

Also consider you're in the store for what, 10 mins - that's a lot of video processing presumably using state of the art CV models. It's quite possibly cheaper to pay a human than rent the H100 to do it.

I think a lot of people would have used a database at this point, but the site didn't need to be updated once built so serving a load of static files via S3 makes ongoing maintenance very low.

Also feel a slight sense of superiority when I see colleagues write a load of pandas scripts to generate some basic summary stats Vs my usual throw away approach based around awk.

It is noticeable on buses and overground when people play things out load, but to be honest quite rare in the grand scheme of things.

On the other hand I'm a software engineer and my incredibly powerful MacBook could be not much more than a fancy dumb terminal - to be honest it almost is already.

If I can play a very responsive multiplayer game of the latest call of duty on my $300 TV with a little arm chip in it, then I could well imagine doing my job on a cloud Mac if the terminal device looked and felt like a MacBook but had the same tiny CPU my TV has.

Not sure if I'd choose it as a personal device but for corporations it seems a no brainer.

With a decent internet connection I now struggle to see why anyone would want to buy a hardware Xbox. Games on the cloud version load instantly, play brilliantly and cost the same as the usual Game Pass as far as I can tell. The catalogue seems smaller maybe but aside from that I see little downside.

I could see it working well for PCs too - as long as the terminal device is seamless. I guess us devs have been renting computers in "the cloud" for decades anyway.

Processor comparison too

https://www.cpu-monkey.com/en/compare_cpu-raspberry_pi_5_b_b...

It's not super powerful but my young kids use it to surf the net, play Minecraft, do art projects, etc. (we are yet to play with the gpio).

I don't get on with the keyboard but otherwise would make a decent development machine for me, considering my development starts with me ssh'ing into some remote VM and running vim.

The whole lot is tiny and extremely portable, we pack it away in a draw when not in use.

All in it felt like good value for money for something that took about 3 minutes to get up and running.

Whereas I can get a hand carwash at pretty much any supermarket car park I land on. From a guy with a bucket and trolley to a full team of four going at it with a power wash. Tesco, Sainsbury's, wherever.

The Albanian angle feels loaded, but it's true that many of the employees do seem to be recent immigrants.

I don't see much point denying this reality, it feels a bit like trying to argue there's always been high streets full of betting shops, charity shops, vape stores and American candy shops.

Not only does the model (chat gpt) know about my job, tech interests etc and tie chats together using that info.

But also I have noticed the "tone" of the conversation seems to mimick my own style some what - in a slightly OTT way. For example Chat GPT wil now often call me "mate" or reply often with terms like "Yes mate!".

This is not far off how my own close friends might talk to me, it definitely feels like it's adapted to my own conversational style.