Weren't they scrambling like mad to get out of the EV business?

It'd be interesting to see any EV make it at 28K in the US.

So, how do you think we made compilers to begin with?

Do you think they already knew Machine / Assembly to begin with? We didn't train those, we made compilers...pretty much like we made translators, yeah LLMs are deterministic, they can't be creative, nor can compilers, but they can be good code translators, and yes they need training.

Oh well, we might as well ban compilers too then.

Nutcases...

I now am dependent in part for my livelihood on paypal. Going to check my contact info there now.

https://informationr.us/

Failing to understand the market is the thing that cost them the most.

We're in a K-shaped economy right now, the stocks are at all time highs, and the purchasing power is at our lowest at the moment, this can't go on for much longer.
Raising prices in a market like that will not hold up, and making it unobtainium for most people to even get graphics card, hardware, memory and storage did not help much either.

It will be the most costly lesson in gaming history, but when you're used to juicy profits it's hard to get the pig to leave the pig pen, it's just too comfortable, for too long.

Don't give him more ideas /s
We joke, but - to him that would probably sound like a good idea to make mandatory.

Thats probably their next name for it.

And what does the language matter anyway when you can now type in pseudocode into Copilot and ask it to form perfect equivalent code in any language?

The thing is, you and I have both discovered this.
I'm consistently working on my Arcade game passion with Local LLMs. And every time I mention this, the world goes into hate mode, it's just fashionable to do this right now.

I've been coding arcade games since the 80s on my own, it was slow, tedious and took forever, but it was fun in the long run. I code apps too, and I do music by hand, artwork by hand, and I do most of the project management, this is where AI comes in as an absolutely game-changer of a tool, but yes - it's a junior dev. you have at hand and at will, the hardware was expensive however, but totally worth it.

Now I even get it to work with me on AI tools that I use for making my projects, my latest integrator beats the living lights out of the agentic setup most people use, I have special templates for AI tuning which means it spits out clean code and documentation depending on the project that is made, and I have created plug-ins for project management for the projects, it's a blast, all done locally. And it's working.

It's rare for me to have showstopper bugs now, I had that 3-4 months ago, but the latest models in combination with my plug-ins, yeah, you know what, we're gonna let everyone else yell at the clouds. We're having fun.

The sheer amount of hate against organizations like EFF, tells me we need to support organizations like this more than ever.

It's got a butt ugly design, it's roundy, transparent, plasticy, has the commodore logo on it, primitive, and it's got a SIM card.

You know what that means? It's still fully trackable, it will give you false feelings of safety, a phone without the bloat for sure, and maybe it's best as a 30$ Nokia simple-phone (yes they sell those), but this is a 500$ simple phone in disguise, and with a design that is so ugly that I can't even see it sell to people like me who actually used and coded Demoscene stuff back in the 80s.

Yes, and there's another reason to it as well (old fart ranting here):

When you do suggest that LLMs can be terrific and explain why they CAN be useful, old professional coders will often chime in, chop your head off and absolutely hate on you, every move you make, everything you say with passion.

I'm old so the last time that happened I just said "oh you're right, I didn't think about that, my bad" and they were happy.
Do you think I stopped experimenting with the tools? Not in any way. In fact I run my own local LLMs now on (I feel kinda super lucky) hardware bought the last few years before pricing became absolutely insane, so I have some hardware to do that, glad I did not sell those, but that's getting offtopic, I did warn - I'm an old fart so I do rant a lot.

But I do experiment a lot too.

For anyone who cares, here's the skills you do need:

- Your prompting needs to be god-tier level, it's like in the olden days we used to say "Google it", well most people had no clue WHAT to google, because they often didn't have the initial skills to know what to look for. LLMs are the same, they have various training, you need to know their limitations and ask questions sharply and very focussed, not like you'd ask a human (because they're not), but kind of extremely specific, like you would with a computer.

- Have thousands of hours with AI prompting, experimentation, build and learn to scaffold your code. Build frameworks with your AI, compartmentalize your code so you don't have to ask LLM to re-code everything from scratch every time, saves tokens, saves on context memory (especially important if you run locally). The thousands of hours with using the models will help you become an expert in using it as a tool, surprise - just like any other tool.

Just because you can prompt and get results, doesn't mean you'll get good results, you need to get good at recognizing the failure points, what it responds to well and where it fails, and learn to tighten your scaffolding skills. The more direct, focused you are, the more NOTES you take of your project, such as naming the items in your apps, naming the tasks in your app (accurately, not loosely like this), the more high quality your results will be.

- You also need to be a great project manager and note taker. Take tons of notes, document the hell out of everything you do, and have your LLM document EVERYTHING. Make things tight so an Idiot (me) could understand it even with meager coding skills (I might be humble here, but in my world everyone is better than me, it helps because you anticipate you could be wrong, this is good!).

Learn the above well, be humble, use several approaches, learn from that, and you'll be surprised how dangerous and amazing these tools indeed are. I've honed my local model skills to become so damn good I code actually good games today with the help of ONLY local models, we've reached that point - we were NOT at that point just 9 months ago.

No joke!

And while I am still working on OpenWater and Alignable, the only thing I've gotten from LinkedIn in the past year is rewrite-your-resume scams

Given the reference list, I suspect not ChatGPT, but rather https://magisterium.com/

To me the hoops that smoothbrains will jump through to avoid IPv6 and stay on legacy IPv4, especially when hosting, is pathetic. NAT, port forwarding, tunnels, blah blah blah blah.

I have something like ~1.2 trillion times the number of routable addresses that the entire IPv4 space has. Not all are reachable, of course, just the services that need incoming access and they're each on their own isolated DMZ.