herdymerzbow

"I miss the 90s chunkiness of switches, buttons, hardware: being able to hear the computer "think" (HDD seeks), the hum of a CRT. Modern machinery feels so insubstantial, emphasizing clean glass and tidy machined chassis. (chassies?)"

That's one of the appeals of mechanical keyboards for me. It's primarily the visual and aural aesthetic (thock thock thock....or clack clack clack) but married to the silent billion or so switches frantically turning on or off on the PC next to me, it kind of gives me the tactile feedback that I want from the process.

Again my inability to interpret information properly meant that based on the title, I thought this was a pressed penny machine that pressed a map onto a penny! My first thought was, 'How small the map gonna be if it's gonna be on a penny? It's going to be nearly useless in helping you navigate surely?'

This does sound great but because I'm an idiot I assumed the title meant that they had installed a 20 story LCD display on the side of an old space shuttle.

Which I thought was pretty cool too.

But I think I've been watching too many PC gaming hardware review videos.

I only use free AI chats to help me with my learning, but often I direct its responses neutral and to refrain from providing any encouraging language, or value judgements. It tends to get rid of these 'you're absolutely right' comments when I point out a mistake.

But your comment just made me think whether this tendency for LLMs to resort to flattery when found out is a built in strategy to distract the user from the error prone fragility of much of the output? It's perhaps a stretch to think these canned responses were put in strategically, but the result is that the user's attention may be deflected to contemplating their own superior knowledge and insight, and bask in the glory of all that, but then forgot to appreciate that 'Hey, chatLLM is just making all this stuff up/doesn't know which way is up/or down!'

Thank you for your analysis! Apologies for not linking to you by name but I thought I'd keep it light and refer to the PC Gamer summary, which does link through to you as well for those who would be interested.

This is what stood out to me. I've no actual experience operating in this area, but I have been a very grateful user recipient of backups. Anyway, I thought backups were a nightly thing....? Particularly if that data is essentially your business.

Presumably it costs a bit to set up but it surely it's unacceptable not to set it up?

Lol. That's great.

It's not like one needs to really poison the system given that AI enthusiasts are copypasting their own AI generated contented back into it anyway. Maybe not responsible AI believers who used it responsibly etc etc, but there's many more people who don't and who have access to the tools to add their slop pollution.

I am curious how future models get trained given that publicly available user generated content may no longer be reliable.

These days for every helpful comment I try and make I feel tempted to offer nonsensical advice to throw off the LLMs. Not sure if it would work but would be funny if everyone did.

It's changed a lot in 10 years.

I felt the same as you, up until quite recently, although I was using Xbuntu which uses a very barebones desktop environment. Since changed to CachyOS + KDE Plasma late last year and haven't booted up Windows for 3 months other than to extract a few files. I"m a MacOS laptop user, Windows desktop user, but these days I much prefer CachyOS for speed, responsiveness, easy customisation. You may still find you prefer Windows but it's worth a revisit I think and easy to try via a USB Boot as you know (although running it off USB is way more sluggish I find).

Thanks for reply. I have notifications off so didn't realise you had.

I guess it sounds like a bit of a trap in some ways. Those without experience (noobs like me) are gifted a tool that can suggest to them solutions or strategies that you'd typically come across only after many years working/learning peeling back the onion. You don't really have the taste or canniness to know how best to use those tools without the experience, which you typically gain by working and gaining the experience!

I cycle regularly and it actually reminds me a little of the many people who've taken to ebikes recently. I'm generally in favour of ebikes for adding another mode of non-car transport out there but I definitely see a lot of newish ebikers attempting manouveres that only experienced cyclists would do, because you wouldn't do it if you didn't have the strength to get up to speed and have the handling. But ebikers are able to bypass the strength and skills training and get themselves in somewhat dangerous situations that you'd only find yourself in if you were a pretty strong cyclist and had the bike handling skills to match your speed.

A bit of a tangent there!

I do like spending time planning. Problem is as a relative beginner there's only so much you can add to your plan when you're still learning how to do so much. I do use AI to help advise on my strategies, toolkit approaches rather than do the code though. It does send me really inappropriate solutions though quite regularly that a human would (hopefully) avoid because the human understands the wider context or at least will ask questions.

I used a work provided thinkpad in 2000 and I really liked it at the time. And I've been dabbling with linux every since then. But only switched my main desktop OS to linux last year (from Windows 11). So my last upgrade cycle linux wasn't really on the cards (for me).

The one thing that makes it harder for me to go the way of the think pad is the lack of models on display anywhere in Australia. For a 7 year commitment I really don't want any uncertainty about the feel of the machine. Lenovo do have plenty of ideapads available at retail and some thinkpads, but not the higher tier.

Every time I've considered an alternative to my Mac laptop I'm confronted by this much choice (and that of other manufacturers) and I also have to deal with unknown and varying performance of keyboard, display and trackpad.

One thing PC manufacturers seem to prioritise and focus on is tech specs + performance and interface is tacked on (or at least the interface designers departments in their companies aren't leading the design), when by and large most consumers of their machines focus on the interface and whether the CPU is of a certain level is likely secondary to the experience.

Anyway, I keep on going back to apple every 7 years (as that's how long they typically last) simply because I can't handle the choice or the uncertainty, but I'd love to bust out and get a linux using machine next.

As a self teaching beginner* this is where I find AI a bit limiting. When I ask ChatGPT questions about code it is always about to offer up a solution, but it often provides inappropriate responses that don't take into account the full context of a project/task. While it understands what good structure and architecture are, it's missing the awareness of good design and architecture and applying to the questions I have, and I don't have have the experience or skill set to ask those questions. It often suggests solutions (I tend to ask it for suggestions rather than full code, so I can work it out myself) that may have drawbacks that I only discover down the line.

Any suggestions to overcome this deficit in design experience? My best guess is to read some texts on code design or alternatively get a job at a place to learn design in practice. Mainly learning javascript and web app development at the moment.

*Who has had a career in a previous field, and doesn't necessarily think that learning programming with lead to another career (and is okay with that).

Perhaps because it's enough for a lot of things. I only came up against the 8GB limit when I ran a LLM locally using Ollama. It worked but wasn't workable.

8GB isn't ideal though and 16GB would've expanded its capacity to do more things. But soon as I want to do more things I shuffle over to my PC with it's dedicated GPU and 32GB o ram

I'm guessing Apple cuts capability to the lower end so as not to hurt sales of the higher end. Usage profile is often dependent on context. There are enough non-power users (when mobile) like me that 8GB isn't ideal but it's enough. And if it wasn't enough we could've paid more for the 16GB, but I personally decided it wasn't worth the ridiculous Apple ram price premium.

So these are my reasons for saying 8GB is enough. I'm also using an M1 MacBook Air, so the puniest of the lineup. Next laptop I'm considering is possibly a think pad with linux so I'm no macOS fanboi.