voronaam

Thank you for fixing the character portrait in the latest release.

This one and /c/pixeldungeon

I have been playing that game for sooo long.

In fact, its author ditching Reddit for Lemmy is the main reason I am here.

For what its worth, I am not browsing "all". I have two communities in bookmarks and I come and check what was posted in those.

I was pretty late to come to Lemmy though...

Thank you for looking into that. Meanwhile I dug out my old tablet and it still works. I do not think one more Android 5.1.1 device in your usage stats will surprise you too much. Apparently there are still players on the 4.x that you had to drop.

But if you see a sudden surge in old versions, that could be people like me - enjoying a big rectangular screen with no occlusions once again.

Love the new title screen, hate the increased screen utilization. I am getting annoyed at the rounded corners and the camera pinhole right in the face of the hero. I could still play in landscape mode though.

I guess I'll try to find my next phone to have a perfectly rectangular screen with no cutouts.

I see. Thank you.

I am using a YubiKey for those (with a desktop authenticator app). Oddly enough, I do that because I do not trust Android/iPhone to stay secure. I actually trust them even less than a plain old SMS-based auth.

I am more curious about this section:

bureaucracy or banking apps force me to use it

Does it actually happen? How so? I never had any bank or anything else force me to use a phone, so I am having hard time imagining that. So I am genuinely curious about this portion of your message.

I think you are correct at the main point:

you’re not considering how tech-savvy the average person is

I am actually having hard time understanding where all of that hype is coming from. The first time I've seen AI solve a problem better than a human was back in 1996. I have used various generations of AI tools ever since. LLMs are fun, but it is not like they are that much different from the other AI tools before them. Every time a new AI technology comes around I am finding a use case for it in my own flow. LLMs have their uses as well. But I am not trying to solve ALL the problems with the new tech.

I do not understand "the average person". And I guess I never will.

1. Translation. Only works for unified technical texts. The older non-LLM translation is still better for any general text and human translation for any fiction is a must. Case in point: try to translate Severance TV show transcript to another language. The show makes a heavy use of "Innie/Outie" language that does not exist in modern English. LLM fail to translate that - human translator would be able to find a proper pair of words in the target language.

2. Triaging issues for support. This one is a double-edged sword. Sure you can triage issues faster with LLM, but other people can also write issues faster with their LLMs. And they are winning more. Overall, LLM is a net negative on your triage cost as a business because while you can process each one faster than before, you are also getting way higher volume of those.

3. Grammar. It fails in that. I asked LLM about "fascia treatment" but of course I misspelled "fascia". The "PhD-level" LLM failed to recognize the typo and gave me a long answer about different kinds of "facial treatment" even though for any human the mistake would've been obvious. Meaning, it only corrects grammar properly when the words it is working on are simple and trivial.

4. Starting points for deeper research. So was the web search. No improvement there. Exactly on-par with the tech from two decades ago.

5. Recipes. Oh, you stumbled upon one of my pet peeves! Recipes are generally in the gutter on the textual Internet now. Somehow a wrong recipe got into LLM training for a few things and now those mistakes are multiplied all over the Internet! You would not know the mistakes if you did not not cook/bake the thing previously. The recipe database was one of the early use cases for the personal computers back in 1990s and it is one of the first ones to fall prey to "innovation". The recipes online are so bad, that you need an LLM to distill it back to manageable instructions. So, LLM in your example are great at solving the problem they created in the first place! You would not need LLM to get cooking instructions out of 1990s database. But early text generation AIs polluted this section of the Internet so much, that you need the next generation AI to unfuck it. Tech being great at solving the problem it created in the first place is not so great if you think about it.

This is the only line you really need from the entire atricle:

That’s the idea behind our new OpenAI Certifications.

It is an age-old idea. People were getting Cisco, Microsoft, Oracle, AWS certificates to pad their CVs for ages. This is a legitimate way for a person to put a well known logo on their page and an easy way for companies to make a few bucks. OpenAI wants that as well.

The certificate means nothing. The course for it teaches nothing. But a CV with an OpenAI logo on it looks better than without and OpenAI wants people to pay for the privilege.

This is a funny graph. What's the Y-axis? Why the hell DVDs are a bigger innovation than a Steam Engine or a Light Bulb? It has a way bigger increase on the Y-axis.

In fact, the top 3 innovations since 1400 according to the chart are

1. Microprocessors
2. Man on Moon
3. DVDs

And I find it funny that in the year 2025 there are no people on the Moon and most people do not use DVDs anymore.

And speaking of Microprocessors, why the hell Transistors are not on the chart? Or even Computers in general? Where did the humanity placed their Microprocessors before Apple Macintosh was designed (this is an innovation? IBM PC was way more impactful...)

Such a funny chart you shared. Great joke!

Do you have any source to back your claim?