LLMs don't use that much energy once trained. We run some models on a Mac Mini at work, and that thing sips power. Since education materials don't change much, there's no reason to need an up-to-date model for most subjects.

That is sadly the truth with many things. People just don't care unless it personally affects them. And even then it depends if it hits hard enough .

Exactly. If anyone is going to be using AI at the forefront, it should be teachers, for two reasons:

• so they can teach students its proper use because it will come up
• education is closely tracked, so we can see the impact of teachers relying on AI in student outcomes

I think this is fantastic!

? Media bias fact check says it's left-center w/ high factual accuracy. The poll itself is from Gallup, which is quite reputable, and The Walton Family Foundation, which is also reputable.

Are you thinking of something else?

1. It's not like the companies train one model and they use it for months until they need new version. They train new models all the time to update them and test new ideas.
2. They don't use small models. Typical LLMs offered by ChatGPT or Claude are the big ones
3. They process thousands of queries per second so their GPUs are maxed out all the time, not just for few seconds.

There is no room here for your credulity. No, polls are not accurate. No, the Walmart tax dodge charity foundation is not "reputable."

Do you have an alternate source that proves your point, or is your entire argument "because I said so"? Whether something avoids taxes or not has little to do with its credibility, you'll need stronger evidence than that.

And I don't know what you mean by "polls are not accurate." Yeah, they're unreliable for certain things (I.e. predicting election results) because people lie and change their minds, and elections are generally decided on a per-state basis, so just one or two "flipping" is enough to turn an election. They're more reliable for other things, like tracking sentiment across a longer period of time.

I certainly don't buy the "6 hours saved per week" statement here (that's self-reported and a small sample size), but I do buy that teachers are using AI more and more to assist w/ their work. Surveys can only tell you so much, and it's important to not read too much into them, but that doesn't mean they're worthless or misleading.

Wouldn't it then help to run the smaller ones locally instead of using the big ones like ChatGPT?

I read that one called Deepmind or something in china took a lot less to train and is just as strong. Is that true?

What do people usually use LLM's for? I know they suck for most things people are using them for like coding. But what do people use them for that justifies all the hype?

Again, please don't think i am trying to justify it. I just don't know super much about them.

I could give you a few real-life examples where it’s been helpful to me, but honestly, there are probably hundreds more depending on the person—as long as it’s used properly and not treated as flawless or final.

I’m a kindergarten teacher.

1. I describe what we’ve done in class, and it turns that into a short caption for the school’s daily social media post. Saves a bit of time.

2. For weekly assessments, I speak freely about each child’s week, and it generates a well-written comment. That’s a moderate time-saver, and I learn better phrasing from its output as I'm a non-native English speaker.

3. It helps me brainstorm new daily activity ideas based on specific goals or parameters. I choose the ones that fit and tweak them as needed.

4. When I’ve tried multiple strategies with a difficult child, I use it to get fresh suggestions for guidance or behavior management. I still apply my own experience to decide what works best.

5. It helped me plan a trip based on location, time, and several other factors—and it provided a lot of useful details I hadn’t considered.

6. It’s replaced Google for many tasks: it’s faster, often more accurate (if prompted clearly), and definitely more efficient for basic info.

7. I also use it for translation, and in many cases, it gives better or more natural results than Google Translate.

8. It helped me rewriting this very comment (till point 7) as I'm busy with something else so I saved time spellchecking and rephrasing.

Small models can only handle limited set of tasks. To cover a lot of different tasks you would need a lot of small models. What DeepSeek did was build a lot of small models with each acting as an expert on one topic (more or less). It's more energy efficient to train but not necessarily to run as you have to chain a lot of small models to get good results.

What do people use LLM for? Asking questions you would normally ask Google. Google sucks now so it's easier to ask ChatGPT. You can also use it for simple tasks like checking text for grammar errors, writing emails and so on.

Its HIGHLY addictive, especially to idiots. They feel smart using it. Which is so ironic I can't stand it.

Yep, and who owns the models? Billionaires. What are billionaires always? Conservatives. It isn't hard to connect the dots on why this path is not a good one.

Well, it can't clean toilets or build roads, so you can still do that for your elite billionaire overlords, and they may give you a prison cell to exist in!

The poll, published by the research firm and the Walton Family Foundation... Walton Family Foundation provides financial support to The 74.

What kind of fool would believe anything from these grifters?

Phony AF at its face.