I’m almost starting to wonder if that’s the plan. Just keep saying “IPO IPO IPO” to get funding from over-eager VCs who want a piece of the IPO before it becomes widely available.

But then you just never IPO. Keep making minor to moderate mistakes along the way so you can be all “weeeeell we would have IPO’d but insert thing here so we want to wait another 6 months to let it die down”. Repeat until you’re ready to quit, then actually IPO and ride the initial IPO high all the way down via golden parachute.

Instance friendly link: !programming_horror@programming.dev

Huh, go figure. Thanks for the info! I honestly never would have found that myself.

I still think it should be possible to use in:channel on the channel-specific search though. One less button press and it can’t be that confusing UX-wise since you have clear intent when doing it (if anything, the fact that the two searches work differently has to be more confusing UX-wise).

One of the biggest issues for me is that you can’t use ‘in:#channel’ anymore in searches for some inexplicable reason. But only on the mobile app — it works fine on desktop! If you could do that it would be fine.

You say “only” 6 months ago but it’s surprising to me just how quickly this time has passed.

I was a Reddit every day user pre-Lemmy. I happened to get linked to something there yesterday and saw all my sub’s “last visited” dates at 6 months. It’s crazy how easy it was to go cold turkey and I haven’t seen a need to go back.

The cops aren’t around so they can freely violate the law of gravity.

Copilot, yes. You can find some reasonable alternatives out there but I don’t know if I would use the word “great”.

GPT-4… not really. Unless you’ve got serious technical knowledge, serious hardware, and lots of time to experiment you’re not going to find anything even remotely close to GPT-4. Probably the best the “average” person can do is run quantized Llama-2 on an M1 (or better) Macbook making use of the unified memory. Lack of GPU VRAM makes running even the “basic” models a challenge. And, for the record, this will still perform substantially worse than GPT-4.

If you’re willing to pony up, you can get some hardware on the usual cloud providers but it will not be cheap and it will still require some serious effort since you’re basically going to have to fine-tune your own LLM to get anywhere in the same ballpark as GPT-4.

The alt text on that XKCD is even better:

“I recently had someone ask me to go get a computer and turn it on so I could restart it. He refused to move further in the script until I said I had done that.”

Definitely AI generated. Look at the bottom-right of the Confederate flag. It’s all messed up, classic generative AI “artifacting” for lack of a better word for it.

Edit: lower down in the thread the original was posted. This was upscaled (very poorly) by AI.

Image generation tech has gone crazy over the past year and a half or so. At the speed it’s improving I wouldn’t rule out the possibility.

Here’s a paper from this year discussing text generation within images (it’s very possible these methods aren’t SOTA anymore – that’s how fast this field is moving): https://openaccess.thecvf.com/content/WACV2023/html/Rodriguez_OCR-VQGAN_Taming_Text-Within-Image_Generation_WACV_2023_paper.html

They wouldn’t make these games if they didn’t work.

Part of their shtick is to get you to make any purchase at all. Then you might go on to spend hundreds! Or you might quit. But in some sense that’s also good because the plan was never for you to play for free.

Seems like you might have fallen victim to the Scunthorpe Problem. I’m sure you can guess what word they were trying to censor there…