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We need the discussion about AI to move beyond the "AI is bad" shitstorm level on Bluesky. It's hurting the adoption of open social media, because normal people don't like getting yelled at. So I think I'll start posting more success stories about how AI is useful in my life.

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AI is really helpful at my job in the logistics business, because it can help to create a better use of our trucks, which in turn reduces our emissions and use of diesel fuel. Although we are changing to electric trucks instead of diesel trucks. But still a long a way to go.

The tech itself does have some value, but the companies owning it are out of control. Literally all of them are engaged in the greatest IP theft in human history, and nobody seems to care. The complete lack of effective regulation is a travesty. The benefits does not outweigh the problems, IMHO.

Yes exactly. I think the discussions about LLM chatbots gets tangled up in the ethics of the main LLM proponent companies, and the financial and material scale of their desired datacenter rollouts. As regard the latter : we already have enough datacenters for LLMs. More seem wasteful of environment

We have a real problem with enormous resources being wasted on free AI generated memes and cat videos. The technology absolutely has good use cases, but we need a mechanism to make sure that people pay for the resources they use.

Yes, and/or some kind of regulation to keep excessive resource use from leading to environmental destruction. Moreover, given the business plans of the big LLM companies are pretty unrealistic, calculating more paying demand than, well, realistic, big things that won't be used risk being built.

AI is exceptionally witty. When its verbal delivery matches the content of its written responses, it will be like living with Oscar Wilde, Groucho Marx and Tommy Cooper rolled into one, performing at the top of their game. What is that going to be like all day every day? Great or insufferable? 😳

AI tech works much better than the anti-AI crowd expresses. Some of the problems are real, though. Erosion of IP. Electricity consumption. Skill rot. Lots of superficial understanding - when everybody becomes a manager, expertise atrophies. And data sovereignty - this is cloud computing 2.0

current data centers don’t require hyge amounts of power. dont mix up the massive power requirements of data centers for llms with stuff that mostly stores and streams data. the two are verry different energy-wise.

Quite a few of the highest-power datacenters were planned or even already operational before LLMs were a thing. You'd be surprised how much power a rack full of SANs or blade enclosures can pull. Not to mention that GPUs in servers also predate LLMs being a thing.

Yes, this is GenAI.

Anders Puck Nielsen@anderspucknielsen.dk

Today, I'm writing an article, but I like to dictate my words instead of typing them on the keyboard. With a bit of AI processing, it actually gets 99.9% of the words correct because it understands what I'm trying to say, and the punctuation is perfect. Nice!

It's good for CVs/resumes. Put in your experience and ask it to eloquently and eruditely explain why what you have done is good and it will. I have a mate whose put data sheets into it and ask about trends etc and it's done it. It has a place In the world

AI as it is now is useful. Good enough I would say. I think you are being shortsighted in understanding the fears many of us have. The tech bros won't stop no matter the danger which is very real.

This is literally the previous post. It's not some fundamental anti-AI rant with claims about it having no use.

Kate Jackson@katejackson.bsky.social

I have no doubt that some researches will find, and have already found, beneficial uses for AI. But this does not require a university-wide restructure nor a university-wide demand that each faculty member individually reinvent their courses to “train students for Ai” (whatever the heck that means)

On the AI for coding skepticism, most AI critical devs I know tested it a year ago and only for a bit. They made up their mind that it is not working and never will. They completely missed that a) you need to learn HOW to code with AI and B) the tools have improved significantly in the last 8 months

Just because a dev is skilled as a coder doesn't mean they are skilled at coding with AI. The best sprinter is not automatically the best cyclist. Yeah, both try to move forward, but taking the technique from one while trying to do what the other does might not yield good results.

Those are folks that swear by AI and has been using that exact line as an argument, and the end result is still, well, not convincing. It would be interesting to see how skilled they are anymore after, say, two years of clanking.

I agree. I don't do a lot of advanced coding, but I do use Python for data science, and the quality of the AI tools has massively improved. Even RStudio has now embraced AI, and that says quite a bit.

I think there's a gap between a coder using AI on a novice way, and a skilled way. There are so many gotchas and traps and bad ideas it inserts. I think I catch them, but realistically bad ideas have always gotten through, even before AI.

AI does sometimes produce garbage. Yes. It helps if you know software architecture. But to be fair, I had developers produce shitty code as well. I wouldn't let AI design the software for a helicopter. But a marketing website or basic software. Sure.

Great idea. I use an LLM mostly for reviewing. I have it trained on the particular types of documents I write, and I ask it to come up with suggestions for what *I* should improve. I don't want the LLM to do any writing, but if it can spot inconsistencies and missing details across 50+ pages, great!

That is great but I cannot help but feel that is not you doing your job. Your job would be to clarify the risks and rewards of AI adoption for Danish and by extension European (Union plus) autonomy and defence. Because it is clear that Europe needs European controlled AI not USA AI.

The reason for it not being US controlled should be obvious given the link between AI promoters and the regime that is threatening the sovereignty of an autonomous territory of the Danish Crown. So unless you keep that obvious negatives of the current reality of AI, you are not doing your job.

Well a poor turn of phrase on my part. However you have the skill set to analyse both risks and rewards of AI/LLMs in the current situation. There are no shortage of AI boosters on Bluesky or elsewhere. There are a shortage of people like yourself with an eye to the strategic level implications.

I am sure craftsmen felt the same when machines came in. I do agree about strategic autonomy though - same issue with facebook, x, etc poisoning our minds with lies, conflict, scams, etc. AI will not go away, and Europe needs to be along for the ride. #mistral4ever

Error code on the display in your car? Washing machine stopped working? Got a form to fill out? Automate something? Create a complex graphic? Plan your vacation? Find a good offer for a new TV? Sort data? Test an argument? AI saves A LOT of time VS googling, but it's a tool that requires skill.

When my oil burner (for heating) stopped working, AI sent me on several wild goose chases. Because everything you suspect must be true and AI will tell you why. Well, it wasn't. Several times. In the end it also helped with the actual fix. But, for the love of bob, don't blindly trust those things.

It was a while ago. I think GPT5. The thing is, this is a systemic problem. All of those issues COULD have been the cause. But they weren't. And instead of pointing out other possibilities, the models will try to please you by agreeing. That seems universally true.

First example.

Anders Puck Nielsen@anderspucknielsen.dk

Today, I'm writing an article, but I like to dictate my words instead of typing them on the keyboard. With a bit of AI processing, it actually gets 99.9% of the words correct because it understands what I'm trying to say, and the punctuation is perfect. Nice!

Being the pedant that I am, I don't consider this is LLM use, or the marketing term AI. This is machine learning applied to speech recognition, it does not require data centers running 24/7 with the power requirements of a medium city. It can and should be done locally.

It is LLM use when I just speak to it in plain language and it has to make sense of what the task was, which project it belongs to, and when the start and due dates are.

Isn't the problem the makers are trying to sell it as a key which fits all doors. Which it doesn't, and by doing so disappoints a lot of people.

I’ve only got one foot on the AI bus! I don’t know how to use AI beyond google search… but on a recent assignment I got failed by the AI marker for copying it all from AI! (whatever the process is!) I told my tutor that is obviously a compliment from AI! I dumbed it down, resubmitted & got a pass.

Second example.

Anders Puck Nielsen@anderspucknielsen.dk

Like most people, I struggle to keep track of the things I need to do. I have tried different task management systems and to-do apps, but they have never worked for me. Recently, I realized that I could just ask AI to keep track of my to-do list. It works much better than anything else I've tried.

My favourite analogy for AI is ionising radiation. Radiation therapy saves lives, as do radiation-based smoke detectors. Radiation is, however, dangerous, should not be in everything, and X-ray fluoroscopes for fitting shoes is a horror story

I'm slowly starting to use local LLMs for more stuff. Relatively small models running on relatively potato hardware are starting to be capable of some pretty impressive stuff. Add in an agentic harness and there is a LOT you can do without feeding data to Sam and Dario.

This is a very important point. A lot of the pushback is motivated not by the technology itself but by the fact that all of these companies are run by Batman villains.

This is a strange argument. "I will share my wonderful personal experience with GenAI more on Blue Sky so that other people engage more on BlueSky to share their experiences with GenAI and also use BlueSky for other relevant discussions."

I think it is strange to associate the perception of a generally unfriendly social media platform environment with the desire to share personal positive GenAI experience. I am generally a strong proponent of politeness when dealing with other people.

My post and initiative here was inspired by a thread by @masnick.com about how people he knows choose to stay on X despite wanting to move to Bluesky, because they can't talk about AI here. I'm not sure I can link to it because Mike restricted quoting, but I'll try. bsky.app/profile/masn...

Mike Masnick@masnick.com

This is really big. Getting this going is the key to unlocking all sorts of useful things in the Atmosphere... This can take ATproto from "cool idea" to "hey this powers a better internet"

Being capable and being good are 2 totally different things. The capacity to centralize power while bringing chaos to the world are among the top on my my mind. Being software engineer of 15 years I cannot deny the capabilities, it is already replaces 90% of engineers. I was sceptic till claude 4.8.

LLMs are actually good for: 1. An enhanced typo checker. Most document programs can tell you if a word is misspelled, but an LLM can understand that you used the wrong word. 2. Writing a bit of code that you can immediately check. 3. Giving suggestions for where to get started. Suggest sources etc.

I use LLM regularly when writing more official text, as English is not my primary language. So, I'll first write the text, and then one or two paragraphs at time, or even only one or two sentence at time I go it through and ask improvements. And then I'll usually make edit or two to finalize it.

In general, LLMs are okay for anything where you can immediately check if they are right. For example: A piece of code works or it doesn't and you can check it very fast. But wrong advice on, say, taxes won't bite you until the tax man comes knocking. So LLMs: Good for code, avoid using for taxes.

If I ask LLM information about some topic and ask it to cite sources, I can immediately check if the source exists and if it says what the LLM thought it said. It often finds sources I wouldn't have thought to look up. But I would never trust it without checking, because it does often make them up.

Or it cites some random redditor from 5 years ago who had very strong opinions but zero actual evidence to back them up. Always check what it actually cites. But often even such redditors at least suggest solutions that I can search more information about, often leading to the actual right solution.

When we started using Claude Cowork at work, it transformed everything. The jump from some diffuse online memory of which you had little control and with limited capacity to an endless library of markdown files loaded on demand really made all the difference.

I think @aarros.bsky.social in your replies pretty much summarises what LLMs are good for. I also think we should call them what they are, LLMs, not AI, because that's what they are; large statistical models of the data they were trained on. There's no logic, rationality, thought or comprehension.