Those would’ve also been nice improvements to the Decky store front itself. They could’ve done it cooperatively by contributing those changes to the main store front too.

This could’ve just been an alt store yet instead they decided to reinvent the wheel (the entire store front)

Walter Koenig (Chekov)

That’s only a (USA) reporting limit. A private company can still have more than 2000 shareholders, but it must then publicly report its finances like a public company would.

The Steam client uses CEF not Electron (which also uses CEF), not that the distinction is very important

They’re going to skip the C series gaming GPUs, aren’t they?

You’ve ignored all of the other impacts of LLMs while comparing different lifecycles.

If you’re going to include the manufacturing of smartphones, you must also include the “manufacturing” of LLMs. That requires everything from the construction of datacentres and the manufacturing of computers which go into them to the less “real” copious scraping, training, and shutdown that is required.

Here’s some other numbers that I found for a mix of ChatGPT 3.5 and 4 (since the stats for newer models are hard to find):

• Around 10K GPUs were used to train the model
• Each GPU has a manufacturing carbon usage of around 164 kg CO2e (8 GPUs per server)
• GPU usage accounts for 85-95% of CO2e emissions (5-15% manufacturing and other impacts) for a 3 year usage lifespan

That puts the total per-card emissions around 3280 kg CO2e and the total usage around 32 800 tonnes CO2e just for one model. Per your smartphone metrics, that’s about equivalent to 560K people’s smartphone use. If you use a smartphone that is more carefully constructed, you can get that up to 1.13M. So for the same atmospheric pollution as 0.5-1 million people buying a phone, we made one model run for 3 years. Now consider there are multiple models and they usually get replaced more often than once every 3 years.

Most people rely on a smartphone these days, very few people need an LLM. Phones are significantly less polluting than an LLM datacentre so you’d be better off using your phone.

Now for other concerns, including the rest of the environmental devastation, which smartphones and most other products do not have. Most of these are still unknown or hard to quantify because the tech industry has long since abandoned open development of new products. I’m just going to list the problems because no one wants to read anymore paragraphs from me:

• Societal impacts
  • Reduced barrier to misinformation
  • Increased concentration of power (the political kind, not electricity)
  • Reduced barrier to professional skills
    • (this might seem like a good thing, but LLMs are not competent by themself, so)
    • Increased danger in safety critical applications
    • Increased ease of embedding malicious elements
    • Reduced confidence in professionals
  • AI psychosis
  • Isolation
  • Increased bot traffic
  • Reduced access to infrastructure
  • Reduced access to critical resources
• Other environment impacts
  • Increased water usage
  • Land destruction
  • Noise pollution
  • Water pollution
  • Ground toxicity/pollution
  • Increased raw material demands (feedback loop for the other env impacts)

The only real positive of the tech industry shenanigans is that prices have gone up, which is discouraging people from buying these significantly environmentally impactful products and instead extending the lifespan of existing hardware.

My intention isn’t to be confrontational, though I am genuinely perplexed, and that’s probably what you’re reading.

Meanwhile…

Ipso facto, for all the AI “Akshually” pedants, I’ve tagged this as AIP. Politely go fuck yourselves :)

“Fork it, fix it or fuck it” - dealers choice :)

Got dunked on for AI slop despite explicitly marking which parts were AI-assisted

I get it - Lemmy hates AI in any capacity.

Anyway:

On regret: why should anyone “regret” using a tool? If we need to take moral consideration into tool use… well…should we regret using mobile phones? I would argue they are just as reprehensible.

I think you’re finally getting to the realization: doing things without considering the moral or ethical implications is inherently, uhhh, immoral and unethical. Do you do more good than bad with your smartphone? Does it use thousands of watts (hours) every time you use it? Do you replace your phone every year with the new model, maximizing your environmental impact with the manufacturing? What do you think makes using a smartphone just as bad as using an LLM?

Look, I get it: considering all of the consequences of your actions all of the time is tiring. I don’t like doing it either. Clearly companies don’t do it at all (at least not for external consequences). Look where that has got us. Apathy is not an option.

If a dev used a local model to spelunk the codebase and write the documentation, would that sit better? Why? I’m not sure the line is where people think it is.

Local models are better in many ways, yes. The local user has control over how much power they use (for the query, not on training), other resource usage (water, electrical power sources), what model (and by extent the training data it uses), and exactly what documentation they get out (depending on the query/ies). The best option is still obviously to write the documentation yourself, as the subject-matter expert.

In this post and your linked post you come off as quite confrontational while exaggerating the dissent and underplaying the support. It’s a great way to get comments that strongly disagree with you. In all of that commotion, it sounds like you’ve missed the point: You’re regretting the AI disclosure, when really people were voicing their opinions in hopes that you’d regret/rethink the AI use.

Personally, I really like the AI disclosures. I like seeing how the sausage is made and what it’s made with. If the sausage is stuffed with hot dog “meat” I want to know. I’ll also avoid it like I avoid junk food, because that’s what it is. LLM-generated code is the junk food of programming. It’s a waste of resources, it’s bad for your (and everyone’s) health, and it can’t be trusted.

Some people really like junk food and hot dogs, and that’s fine. We just need to be clear that that’s not healthy and encourage healthier habits like eating fruits and vegetables (or at least real meat). People like ignoring the externalities of junk food and LLMs; both are responsible for a lot of pollution and societal harm (increased healthcare costs, dark patterns, misinformation, etc.). That’s enough reason for some people to completely remove them from their lives and be understandably vocal about how others should too.

The occasional sweet treat isn’t bad, but making sweet treats at home is always better. At home, I have more control over what ingredients I use and where I buy them from. Though I know I’ll never be able to use zero resources to make a good cinnamon roll, I can at least make the most optimal choices for myself. Ask yourself this: what value does text I generate provide? Could someone else, given the same information, generate the same text? Could someone else write functionality similar text without boiling the oceans and massive copyright infringement? I think any LLM-generated content that anyone could reasonably generate and use themselves is worthless and a net negative impact on the world. If it’s LLM-generated content that can’t be immediately/easily used, then you’re at least providing some real value by doing some work to make it usable.

AI disclosure doesn’t protect you against other people’s opinions. Some people will buy and consume the product, some people will try out the product and decide it’s not for them, some people will discover the product is made very unethically and decry it publicly in hopes that others won’t enable the ethical violations.

second largest US navel base

San Diego is indeed warm and people like wearing crop tops but you don’t need to call out all the exposed navels like that.

/j funny homophone

Which is, unfortunately, why this doesn’t have a good chance of passing. But I’d love to be proven wrong!

Please leave the rest of North America out of it, we’re so tired of his shit

Bad link?

Imo the lottery is the most fair way of doing it. Instead of people being lucky to be awake/available right as the announcement dropped, everyone has the same chance of being placed early in the queue.

For anyone who is struggling to figure out how to delete their DigitalOcean account (it’s not obvious):

1. In Account Settings, delete all of your teams
   • This redirected me to a different setting page with an option to deactivate my account
2. Click Deactivate Account
3. Select the checkbox to purge your account data
4. Confirm that you’d like to deactivate and purge your account
5. (Optional but recommended) Fill out the exit survey and tell them that they’re supporting a neo-Nazi

Primarily because APU is an AMD marketing term. The announcement is correct in calling it a SoC, I just used CPU because the focus was on CPU and peripheral support. GPU is usable, just not fully working, and the NPU support is rough at best. I’m not sure if there’s any other notable accelerators on the chip.

Your original comment was such a non-sequitor that I thought it necessary to clarify. Because an exchange that is roughly summarised as

“I don’t want Android [or Google]”

“OK, use Android [on a Google phone]”

Does not really make much sense without additional context. Thanks for adding that context.

GrapheneOS is Android

Please don’t fuck Elon Musk, he’s already got too many kids :P (and already mistreats some of them)

nitter is an alternative front-end/UI for X/Twitter