Artificial Intelligence In Our Lives

[Pacific1972]

Everyone that says this cannot show clear evidence of a qualitative change in LLMs. All they show is quantitative improvements, per se. It is just refinement. My biggest fear isn't even the impact of AI, it's the powers-that-be thinking it can have more of an impact than it possibly can. In other words, it's the difference between laying off 25% of your developers and having the rest use AI for certain things, while being careful not to add vibe coding debt, etc., and laying off 100% of your developers and saying the subject matter analysts can do it all with vibe coding because they know everything about how our processes work anyway.

Then when tokens start going up 11x overnight (already happened) and keep on increasing, suddenly they need those people back.

Look at it this way. No company has ever made money selling their LLMs. Not Google, not Microsoft, not Apple, not OpenAI (definitely not them. They are buy out candidate within 6 months), not Meta, not xAI, and not Anthropic.

After some major f-ups, everyone is going to realize that AI can't be held responsible for anything like a human worker, and that, combined with ever present drop in quality, will make everyone realize what a study in radiology showed years ago.

AI combined with a radiologist (with the radiologist in charge of the AI) found more instances of cancer than either could alone.

The other problem here is that the difference between models isn't stark enough to ever charge enough per token to justify the cost of AI (and that's without getting into power or water costs). In other words, say Anthropic 10x (again) their token costs. Everyone just switches to OpenAI. Then OpenAI switches, and people start figuring out how to run Deepseek on their local computers.

Eventually these costs will rise to where profits need to be made and everyone will realize they can only afford to use AI for actual important things--such as figuring out what compounds could make new antibiotics, etc.,

And as far as entertainment, everyone wants uniqueness and care. They do. not. want. AI slop. It will eventually be used in small ways to speed up digital work, but that's it. We want connections in our art, and AI has none.

Edited to add: So it appears I was incorrect about that oft cited radiology study. Here is an interesting follow up:

Why Radiology AI Didn’t Work and What Comes Next | Out-Of-Pocket

FDA Approvals, PACS Pain, Selling Point Solutions, and Why Radiology AI Needed a Rethink

www.outofpocket.health

I have a BROTHER-IN-LAW who works for a Chinese B2B company in Germany.

He is highly skilled (in his field) and, after 15 years, he is considering leaving the company and
his “secure” job because his Chinese B2B company doesn’t offer any guarantees or warranties
in Europe for AI graphics cards that cost business customers tens of thousands of dollars - and
he lost arguments for B2B sale (items perhaps also overpriced) - AliExpress Mindset !

But when he says, “I'm good in my job and could even sell Donald Trump an AI graphics card
with 24GB or more because I'm no longer afraid (of high-rise-persons) to take risks !” 🤪

I can only say that he's an 😉 IDIOT (multiple) 'cause he understands nothing about life !!!

I look at what he’s achieved in life — divorce, debt, and child support payments to the children
he fathered. His only lifeline at 50 is the prospect of retiring in another 15 years to what will
hopefully be a government-guaranteed pension 🙄😬🤮 !

Anyone who can't take care of themselves and doesn't make things a little easier for their own
children has already lost the race against AI, because the level of education for the most at 50
(+ muddy mindset) isn't the same as it was at 25 - Game Over !

"I know that I don't know !"

 

[skodises]

And then, of course, there is this nice, cautionary tale for the excessively lazy “content creator”. Hoist with his own petard, this one.

Book on Truth in the Age of A.I. Contains Quotes Made Up by A.I.

Steven Rosenbaum, author of “The Future of Truth,” said he had started his own investigation after The New York Times asked about the fake quotes.

www.nytimes.com

 

[eltoslightfoot]

I have a BROTHER-IN-LAW who works for a Chinese B2B company in Germany.

He is highly skilled (in his field) and, after 15 years, he is considering leaving the company and
his “secure” job because his Chinese B2B company doesn’t offer any guarantees or warranties
in Europe for AI graphics cards that cost business customers tens of thousands of dollars - and
he lost arguments for B2B sale (items perhaps also overpriced) - AliExpress Mindset !

But when he says, “I'm good in my job and could even sell Donald Trump an AI graphics card
with 24GB or more because I'm no longer afraid (of high-rise-persons) to take risks !” 🤪

I can only say that he's an 😉 IDIOT (multiple) 'cause he understands nothing about life !!!

I look at what he’s achieved in life — divorce, debt, and child support payments to the children
he fathered. His only lifeline at 50 is the prospect of retiring in another 15 years to what will
hopefully be a government-guaranteed pension 🙄😬🤮 !

Anyone who can't take care of themselves and doesn't make things a little easier for their own
children has already lost the race against AI, because the level of education for the most at 50
(+ muddy mindset) isn't the same as it was at 25 - Game Over !

"I know that I don't know !"

That is crazy!!!!!!! HA!

 

[throAU]

Everyone that says this cannot show clear evidence of a qualitative change in LLMs. All they show is quantitative improvements, per se. It is just refinement. My biggest fear isn't even the impact of AI, it's the powers-that-be thinking it can have more of an impact than it possibly can. In other words, it's the difference between laying off 25% of your developers and having the rest use AI for certain things, while being careful not to add vibe coding debt, etc., and laying off 100% of your developers and saying the subject matter analysts can do it all with vibe coding because they know everything about how our processes work anyway.

You can parrot that line, but the reality is that real businesses are using AI to solve real problems today. doing things that were not possible 2-3 years ago.

I know this because I'm both working and and next door to companies that are doing this. Today.

 

[Analog Kid]

It isn't clear that there will exist a practical educational path for those coming up. Basically, what you experts are saying is that you already have to know how to do, e.g. "test definition, test code, verification test and documentation", so that the AI agent can do this for you, without your actually ever having had to do these tasks. It appears that AI is creating a situation where only mid- and senior-level engineers are needed and hireable, without an educational path for people to get to that level.

And, it appears that AI-enabled engineering is somewhat better than, say, law, where AI may pretty much abolish the need for assistants. So, where are the entry-level jobs going to come from?

You are holding to the mindset that junior level means transactional grunt work. It’s that way today because there is a lot of transactional grunt work to be done so it goes to those with least seniority, power and connections. There’s no reason that has to be true in a world where a lot of the drudgery is automated away. Vision doesn’t necessarily come from experience. There are a lot of junior employees who have extraordinary vision but are delayed in showing it because they need make their way out of the boiler room first.

Take a step back and realize how paradoxical it is to say only senior people are hireable. Where are the entry level jobs going to come from? Where they always do: a need to meet demand in a world where senior people age out.

 

[Flowstates]

A reality check on the AI jobs hysteria

What do the numbers really say about the impact of artificial intelligence on the labor market? The answer might surprise you.

www.technologyreview.com

 

[Mousse]

The legal profession is experiencing a great deal of trouble in the use of AI. The issue is that the use of AI to research case law for precedent, or prior art in patent prosecution, is fraught with peril: hallucinations are all too common, and reviewing the output to separate the real from the slop is absolutely critical. The courts have demonstrated very little patience with counsel that carelessly bring slop into the proceedings, and rightly so.

AI absolutely can produce ungodly amounts of research output, arguably much more than the average team of attorneys and paralegals, but culling the slop requires very detailed checking line-by-line. And that will continue to take trained, knowledgeable, and experienced legal talent. I don’t see that changing soon…

In the early days of personal computing...

A.I. is a force multiplier that can make our mistake 10,000x worse. Maybe in 20-30 years A.I. will become useful. Right now, I trust Al [Bundy] over AI.😏

 

[eltoslightfoot]

You can parrot that line, but the reality is that real businesses are using AI to solve real problems today. doing things that were not possible 2-3 years ago.

I know this because I'm both working and and next door to companies that are doing this. Today.

Be specific.

 

[Luftkopf]

The people who think they can put their head in the sand and hope it goes away are in for the most pain.

And further to your point, I have always hated these LLMs, and the nefarious way most of them have been trained. I called them ‘plagiarism engines’ since I learned of them. But I recognised that they’re not going away, big business desperately wants them to succeed, and investors are willing to burn stupid piles of cash in hope. So I figured it was important that I learned to use them so my opinion would be more informed.

Now I have a tiny daughter, I find it even more important to learn this new world of BS, so I can successfully teach her to navigate the mess as she grows up.

The only AI product that has shifted my opinion in a positive direction is Perplexity, which gave me much better search results than Google has done for a long time. I had two assignments to research for with very similar subject matter, I needed to search for the same things, but with a different focus. It took me ages to turn up relevant links with Google. Dozens of search terms, a couple of days reading through obscure websites, before I had enough. Perplexity turned up better results when I started using it on the second assignment. I had all the information I need in a morning of reading the links it provided!

I seldom trust the answer Perplexity writes though. It too often has little errors.

My free year of Perplexity is about to end though, and I don’t know what the free tier is like, so I’ve started experimenting with getting something similar run locally. I use Ollama + Chatbox with an Ollama free API for web search capabilities. Using Ministral 3 8B, it’s been ok, it’s been fun as a nerd to try different offline LLMs, but they’re of little practical use.

In addition to that, I have used chatGPT, Claude, Mistral’s Le Chat, Gemini, a Meta’ AI. Both online, and their local models that fit in my 18GB MacBook Pro.

I have not seen anything that indicates that these are any form of tech messiah come to make life better for all. They’re flawed technology that big business is desperately trying to funnel us into. A LOT of people hate AI chatbots being wedged in everywhere, so the industry response is to wedge more of them in, and tell us we’ll love them this time.

I can see that these tools have good uses in certain circumstances, but they’ve been only borderline useful to me. Aside from Perplexity, the only other scenario AI has been helpful to me has been when I’m stuck on an assignment, and have run out of ideas, I’ll query the AI about the question I’m stuck on. The reply is essentially useless, but it will have one or two ideas that will give me an idea, enough to get me unstuck.

Hardly a compelling argument for generative AI.

Sorry for this wall of text. My daughter is 5 months old and I’m a bit delirious.

TLDR: I haven’t buried my head in the sand, my negative opinion has been reinforced by hands-on experience.

 

[eltoslightfoot]

And further to your point, I have always hated these LLMs, and the nefarious way most of them have been trained. I called them ‘plagiarism engines’ since I learned of them. But I recognised that they’re not going away, big business desperately wants them to succeed, and investors are willing to burn stupid piles of cash in hope. So I figured it was important that I learned to use them so my opinion would be more informed.

Now I have a tiny daughter, I find it even more important to learn this new world of BS, so I can successfully teach her to navigate the mess as she grows up.

The only AI product that has shifted my opinion in a positive direction is Perplexity, which gave me much better search results than Google has done for a long time. I had two assignments to research for with very similar subject matter, I needed to search for the same things, but with a different focus. It took me ages to turn up relevant links with Google. Dozens of search terms, a couple of days reading through obscure websites, before I had enough. Perplexity turned up better results when I started using it on the second assignment. I had all the information I need in a morning of reading the links it provided!

I seldom trust the answer Perplexity writes though. It too often has little errors.

My free year of Perplexity is about to end though, and I don’t know what the free tier is like, so I’ve started experimenting with getting something similar run locally. I use Ollama + Chatbox with an Ollama free API for web search capabilities. Using Ministral 3 8B, it’s been ok, it’s been fun as a nerd to try different offline LLMs, but they’re of little practical use.

In addition to that, I have used chatGPT, Claude, Mistral’s Le Chat, Gemini, a Meta’ AI. Both online, and their local models that fit in my 18GB MacBook Pro.

I have not seen anything that indicates that these are any form of tech messiah come to make life better for all. They’re flawed technology that big business is desperately trying to funnel us into. A LOT of people hate AI chatbots being wedged in everywhere, so the industry response is to wedge more of them in, and tell us we’ll love them this time.

I can see that these tools have good uses in certain circumstances, but they’ve been only borderline useful to me. Aside from Perplexity, the only other scenario AI has been helpful to me has been when I’m stuck on an assignment, and have run out of ideas, I’ll query the AI about the question I’m stuck on. The reply is essentially useless, but it will have one or two ideas that will give me an idea, enough to get me unstuck.

Hardly a compelling argument for generative AI.

Sorry for this wall of text. My daughter is 5 months old and I’m a bit delirious.

TLDR: I haven’t buried my head in the sand, my negative opinion has been reinforced by hands-on experience.

Exactly. So has mine (come from negative hands-on experience). Ever notice that most of the really pro-AI folks kind of sound like desperate salespeople? Okay, then leave me behind. Again, I use it within specific constraints and for specific reasons.

But I see way too many young people that are literally abdicating all thought over to AI chatbots. Like they literally have to ask their AI everything. At the rate they are going, they won't even be able to do creative prompting in a few years. It'll be a prompt to get a better prompt. It's getting gnarly out there.

My kids are going to own the world someday because they will be creative without AI, and only use it for specific reasons. I would like the think they won't be alone though. I would like to think of the examples of graduation speakers all getting booed for mentioning AI. AI is a solution in search of a problem.

 

[turbineseaplane]

AI will not bring prosperity to everyone (that's the biggest lie) - rather, it will lead to a redistribution
of wealth from the bottom to the top - humans will no longer be the first choice when it comes to job
allocation, but only the second choice !

And this is on top of what is already an insane wealth gap right now.

 

[turbineseaplane]

Exactly. So has mine (come from negative hands-on experience). Ever notice that most of the really pro-AI folks kind of sound like desperate salespeople? Okay, then leave me behind. Again, I use it within specific constraints and for specific reasons.

But I see way too many young people that are literally abdicating all thought over to AI chatbots. Like they literally have to ask their AI everything. At the rate they are going, they won't even be able to do creative prompting in a few years. It'll be a prompt to get a better prompt. It's getting gnarly out there.

My kids are going to own the world someday because they will be creative without AI, and only use it for specific reasons. I would like the think they won't be alone though. I would like to think of the examples of graduation speakers all getting booed for mentioning AI. AI is a solution in search of a problem.

It's sadly quite true, and we are already seeing early data supporting the "brain drain" from becoming dependent upon it.

 

[Luftkopf]

Exactly. So has mine (come from negative hands-on experience). Ever notice that most of the really pro-AI folks kind of sound like desperate salespeople? Okay, then leave me behind. Again, I use it within specific constraints and for specific reasons.

But I see way too many young people that are literally abdicating all thought over to AI chatbots. Like they literally have to ask their AI everything. At the rate they are going, they won't even be able to do creative prompting in a few years. It'll be a prompt to get a better prompt. It's getting gnarly out there.

My kids are going to own the world someday because they will be creative without AI, and only use it for specific reasons. I would like the think they won't be alone though. I would like to think of the examples of graduation speakers all getting booed for mentioning AI. AI is a solution in search of a problem.

My nephew is 16, and heaps into coding. He has an assignment at school to make a little app. He has his idea, but there wasn’t enough time, so he asked his teacher for time, but was told to use AI. He did, and it worked, but he was so mad about it! He has a good rant to me about how bad he felt doing it because he didn’t learn anything from it!

He’s going to be one of the kids that grows up and has actually learned to think. He’s going to be ok.

 

[turbineseaplane]

He has a good rant to me about how bad he felt doing it because he didn’t learn anything from it!

Sort of flies in the face of the purpose of "school".

Clearly this moment we're in can't last like this.
This is nonsensical to have students have AI "do stuff" for assignments and then the students don't learn anything.

It's basically like having another student just do your work for you.

 

[Luftkopf]

Sort of flies in the face of the purpose of "school".

Clearly this moment we're in can't last like this.
This is nonsensical to have students have AI "do stuff" for assignments and then the students don't learn anything.

Yeah, it is totally stupid. He was so mad about it, he just wants to learn more! He’ll be right though. He’s got the right attitude.

Something will eventually have to give. Hopefully it happens before it takes out too many people!

 

[skodises]

I've been going though a hiring cycle recently with my current employer, looking for junior/NCG hardware engineers (hardware is my real specialty). I find it horribly sad to see how many resumes are now being AI-fluffed: resumaxxing, I think they call it. And I have seen some resumes where hallucinations have been let through, for Gawd's sake, such as cases where a candidate claims to have worked on a real technology that I actually know quite well, but a year or two before it would even have been possible for them to do so. I don't know what the hell a candidate is thinking, kiting their resume like that. It might sound good, and read spectacularly. But it will not work out well, if they are sitting across the table from someone who really was there to do the actual work. Those sorts of interviews are unpleasant for all concerned.

That is a major sore point with me, the kited resume. I think my favorite example of that was about 4 companies ago, when the resume of an old subordinate came across my desk. He had worked for me during one of my misspent forays into playing management in a corporation. And on his resume was a citation of his work experience in doing my job managing my group at that previous company, during the exact timeframe that I was in fact the one doing it. No AI involved here: just a bald-faced lie. There was no way he could know that his headhunter would submit that document to a company actually employing me, I suppose- but it was very much akin to flourishing a red cape in front of a bull.

Bad move. That was an interesting phone call to make, and I suspect that one could still smell the scorched paint in that office, long after I moved on. Needless to say, he didn't get an interview with my company. I suspect that if I see a resume from him again, it'll still have that minor little white lie in it (since that was his first claimed "management experience"). And if so, I'll happily place a similar call, whether he's in my candidate queue or not. I'm still pissed about that, and I will probably go to my grave pissed about it. Some of us have long memories.

In any case, I want engineers who actually and demonstrably can do the work, and can demonstrate a real understanding of the underlying fundamentals, as well as a burning desire to learn more. In my not-so-humble opinion, those who adopt the fake-it-until-you-make-it approach of letting some LLM do their thinking for them are doing so at their own peril, whether it is in writing their CVs or actually doing real engineering work.

But I'm well known as a Luddite. Your mileage will almost certainly vary.

 

[eltoslightfoot]

I've been going though a hiring cycle recently with my current employer, looking for junior/NCG hardware engineers (hardware is my real specialty). I find it horribly sad to see how many resumes are now being AI-fluffed: resumaxxing, I think they call it. And I have seen some resumes where hallucinations have been let through, for Gawd's sake, such as cases where a candidate claims to have worked on a real technology that I actually know quite well, but a year or two before it would even have been possible for them to do so. I don't know what the hell a candidate is thinking, kiting their resume like that. It might sound good, and read spectacularly. But it will not work out well, if they are sitting across the table from someone who really was there to do the actual work. Those sorts of interviews are unpleasant for all concerned.

That is a major sore point with me, the kited resume. I think my favorite example of that was about 4 companies ago, when the resume of an old subordinate came across my desk. He had worked for me during one of my misspent forays into playing management in a corporation. And on his resume was a citation of his work experience in doing my job managing my group at that previous company, during the exact timeframe that I was in fact the one doing it. No AI involved here: just a bald-faced lie. There was no way he could know that his headhunter would submit that document to a company actually employing me, I suppose- but it was very much akin to flourishing a red cape in front of a bull.

Bad move. That was an interesting phone call to make, and I suspect that one could still smell the scorched paint in that office, long after I moved on. Needless to say, he didn't get an interview with my company. I suspect that if I see a resume from him again, it'll still have that minor little white lie in it (since that was his first claimed "management experience"). And if so, I'll happily place a similar call, whether he's in my candidate queue or not. I'm still pissed about that, and I will probably go to my grave pissed about it. Some of us have long memories.

In any case, I want engineers who actually and demonstrably can do the work, and can demonstrate a real understanding of the underlying fundamentals, as well as a burning desire to learn more. In my not-so-humble opinion, those who adopt the fake-it-until-you-make-it approach of letting some LLM do their thinking for them are doing so at their own peril, whether it is in writing their CVs or actually doing real engineering work.

But I'm well known as a Luddite. Your mileage will almost certainly vary.

This is what I mean though. It's one thing if you thoughtfully and carefully use AI to do job "x". It never ends up there though. What people really want to say is, "look old man, no one cares about lies, quality, or whatever anymore. Hallucinations are expected now. Embrace the future."

The problem is that the real world doesn't work that way long term. Lawyers have literally been disbarred over AI hallucinations. Medical mistakes have already been made. Job listings for software developers who clean up vibe coding are exponentially increasing.

And that is with all the major players all subsidizing the token cost.

 

[jaysabol]

For those of you who pay attention to such things, what do you think of Pope Leo's encyclical on AI? I commend him deeply for trying to tackle the subject, always putting the human person first.

 

[throAU]

Be specific.

On the non-IT business facing side (amongst a heap of other things I'm not privy to):
Custom ad-hoc reporting via natural language, predictive failure analysis, image recognition to determine whether or not the thing on the camera is an animal, a person, a vehicle or whatever (mining haul road with protected wildlife).


On the IT side:
Alert triage (e.g., only send me an IM/message/page if the alert is actually actionable vs. informative), Rapid app prototyping for automation of tasks, RAG document retrieval, level 1 service desk that helps solve, or triage inbound requests, etc.

Daily news source scraping for new security vulnerabilities, checking our list of vendors for news of security compromise, etc.

e.g, here's a daily report I get at 6am from my openclaw to help alert me to anything likely to be on fire before I start my day:

This is a customised security briefing for only the things I care about, specific to my environment and the systems I am responsible for.

Here's a snippet of my full morning briefing via email which includes personal interest stuff:

None of this is AI taking people's job. However it does make humans more productive and quicker to respond, which ultimately means I get things done faster and more effectively.

 

[Luftkopf]

On the non-IT business facing side (amongst a heap of other things I'm not privy to):
Custom ad-hoc reporting via natural language, predictive failure analysis, image recognition to determine whether or not the thing on the camera is an animal, a person, a vehicle or whatever (mining haul road with protected wildlife).


On the IT side:
Alert triage (e.g., only send me an IM/message/page if the alert is actually actionable vs. informative), Rapid app prototyping for automation of tasks, RAG document retrieval, level 1 service desk that helps solve, or triage inbound requests, etc.

Daily news source scraping for new security vulnerabilities, checking our list of vendors for news of security compromise, etc.

e.g, here's a daily report I get at 6am from my openclaw to help alert me to anything likely to be on fire before I start my day:


View attachment 2633029


This is a customised security briefing for only the things I care about, specific to my environment and the systems I am responsible for.

Here's a snippet of my full morning briefing via email which includes personal interest stuff:
View attachment 2633031


None of this is AI taking people's job. However it does make humans more productive and quicker to respond, which ultimately means I get things done faster and more effectively.

How much does all that cost, if I may ask?

 

[Flowstates]

How much does all that cost, if I may ask?

A Mac mini and 20/$ per month. Could be lower if you switch to API pricing once the logic has been setup.

 

[throAU]

How much does all that cost, if I may ask?

My personal stuff?

A chatGPT $20 plan and a Rocky Linux VM on my NAS to run openclaw via a codex login.

Some of the other stuff I have been using with N8N via API in the past but Openclaw seems more flexible.

 

[throAU]

A Mac mini and 20/$ per month. Could be lower if you switch to API pricing once the logic has been setup.

Nah, API pricing is generally much more expensive. I have Anthropic/claude and OpenAI subs, both API and chat for both. I am not using API much due to the cost and tbh most of my grunt work is done by GPT.

I do however have some local backup models I can use for trivial stuff, I'm still tuning. The bulk of my openclaw work is done via a codex/chat subscription (not API) using GPT 5.5.


As far as what the business is doing, believe they're using GPT 5.X via API, some of it is Claude via API but that's not my department.

Literally just discovered another shadow-IT AI app at work today, classification of images during work logs, not sure exactly what they're doing but the business is very happy with the app.

 

[throAU]

As an example of some of the alert triage I am getting, this one saved some hardware on Christmas Eve, as amongst the flood of random non-actionable alerts, I got a series of these warning of something literally going to get cooked that I could actually do something about:

All I did was feed n8n/AI the alert and have Claude Sonnet process it.

It came up with the suggested actions and made the decision to alert me via IM as it was properly URGENT and actionable (zero point in sending me alerts for something I can do nothing about) and not just part of the email flood of random noise you get from a global network of a couple thousand devices in locations with bad power (and thus might be down at random times as part of standard business operations).

The prompt for that AI node (connected to telegram as a tool it could use) in n8n was:





You are Bob, a junior network administrator who is monitoring Zabbix alerts.

Evaluate the alert message below and determine whether or not it is important.

If it is deemed important, send a telegram message with the full details of the message and any actions you feel may be appropriate. Use the "To" field for the telegram ID to send to.

The *only* message criteria worth of sending a telegram alert are mesaages meeting any of the below criteria only:
* temperature
* hardware failure
* power failure
* Alert has a Severity rating of "High" or "Disaster"


DO NOT send messages for inbound alerts that do not meet the above criteria.

Staff are already receiving email alerts messages, the intent here is to alert via Telegram for the above pre-determined criteria that are actionable and will result in system failure or damage (e.g., heat, loss of hardware redundancy, power failure).

We do *NOT* want to flood the telegram alerts with messages that ere either non-actionable or not time sensitive as the recipient may be asleep and is not "on the clock".

For all telegram messages sent, please ensure that you note that they are a Zabbix trigger. Sign off as Bob the Robot,


Begin alert message:

To: {{ $json.body.to }}
Subject: {{ $json.body.subject }}
Severity: {{ $json.body.severity }}
Host: {{ $json.body.host }}
Trigger: {{ $json.body.trigger_id }}
Timestamp: {{ $json.body.timestamp }}
ExecutionMode: {{ $json.executionMode }}
Message Body:
{{ $json.body.message }}




If all you're using AI for is typing crap into GPT or Apple Intelligence/Siri and thinking "this is garbage, no one has any use for this! it doesn't even know <random trivia>" you're several years behind the curve and missing out on some massive wins that are pretty damn easy to get.

Think of these models less as a source of all knowledge and creativity and more a mechanism to process data with a level of knowledge and guidance written in plain English at any time of day or night. It basically enables you to give detailed instructions to a computer in English.

You don't even need to give all the instructions or info, because they've got huge amounts of knowledge baked in. E.g., above I didn't need to tell the AI to say "if temperature problem, then suggest to check the cooling system, shut down load, etc." because its obvious given what the model already knows about datacenter deployments. It knows that's what I'm monitoring because it told it that its job is a junior network admin.

Hook them up to external tools like mail/web/other comms and they become extremely powerful.

The coming decade will reward people who learn how to drive these models.

It isn't hard.
Spend a week and a few dollars playing with some paid models (not free trash tier offerings).
Go beyond chat and learn what you can "plug them in to" via API or other mechanism.

 

[Mainsail]

Sort of flies in the face of the purpose of "school".

Clearly this moment we're in can't last like this.
This is nonsensical to have students have AI "do stuff" for assignments and then the students don't learn anything.

It's basically like having another student just do your work for you.

Your right. Fortunately, most teachers can tell when an assignment has been generated with AI and simply pasted into a document. When an 8th grader turns in graduate level work, it is kind of obvious. My son is a middle school Spanish teacher, and he can tell right away when a student uses AI or translator to do an assignment. Add to this some sample testing with AI detection and this should put students on notice.

That said; some use of AI in academics should be allowed because the future work-a-day world will most certainly require AI acumen. For one of my kid's graduate assignments, the prof allowed AI but it has to be footnoted and included in the bibliography. So, for certain assignments, that might be appropriate.

PS - I think we are all still feeling our way through this technology. With time, some standards will evolve for best practices related to the use and abuse of AI. Of course, these standards will vary by profession. But, I can see a day when doctors, lawyers, teachers, engineers, technicians, nurses, etc.. use a set of AI standards or best practices specific to their professions. Right now, it is kind of the Wild Wild West......which is really not all that unusual for new technology adoption.