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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.

Agreed, and ironically I think one of the most important subjects for kids these days is going to be English (or Chinese, etc, as appropriate depending on where they live and what model they're using).

Not even joking, literacy scores are in the toilet in the English speaking world and these models are driven with natural language.

The ability to accurately and concisely express context and intent is what gets you better results with AI.
 
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.

I got annoyed at my summaries being ***** so I gave my bot a docker and it runs it's own RAG pipeline, quality of query has gone up. But in that case, API is needed to enrich the embeddings.
 
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As an example of some of the alert triage I am getting, this one saved some hardware on New Year's 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:

View attachment 2633082


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.
This is at least a detailed response that allows one to see how it works. Thank you!
 
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.
Thank you! This is exactly the type of post that can be used to refute what I am saying. I still think that AI has to be carefully considered, as it is still very much dependent on the person building it out to be creative and smart, but this is a great example. I just use RSS, but this is good.
 
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Thank you! This is exactly the type of post that can be used to refute what I am saying. I still think that AI has to be carefully considered, as it is still very much dependent on the person building it out to be creative and smart, but this is a great example. I just use RSS, but this is good.

I have another workflow that scrapes RSS feeds and scans them for various products that I use and lets me know anything that pops up.

I've never been a big RSS person though and there's some bugs in that workflow I need to sort out.

If people haven't used n8n before, this is what it looks like (workflow for my zabbix alert bot, the prompt is entered into the "Bob" node)

My n8n instance is hosted on my NAS and a bit of screwing around to configure, but you can host it trivially on the internet.

Essentially n8n is like the "glue" that you can use to connect apps to AI and AI to apps...

Screenshot 2026-05-27 at 11.02.56 pm.png
 
The coming decade will reward people who learn how to drive these models.
I have no doubt that this is true.

I also note that you have shown a great example of the use of this mechanism as an assistive tool, wherein it is the human in the loop (yourself) who decides on the actionability of any given alert. This is absolutely the correct use of these things: by all means, let them filter through the noise, and present what their training and prompting indicates might be signal to you, for you to review. You can then apply your hard-earned experience to make a decision as to priority, and whether or not to follow their suggestions with respect to solving the issue.

This, I think, is exactly right and proper: it is an application of this technology that I can respect, and indeed hope for. You have revealed yourself to be an educated, conscientious, and well-reasoned user of the tool.

What I cannot respect would be the situation where some manager with no actual experience in the art decides to simply delegate the entire process to some LLM, including the critical decision making. While that is clearly not the use in your particular case, I'm quite convinced that that is worryingly common across the shambolic rollout of these tools.

I'd happily let an employee of mine use this mechanism as an assistive tool- hell, I might eventually give it a shot myself, should I live so long. However, the moment I caught wind of them letting the tool do their jobs for them, in terms of allowing its nonexistent "judgement" to override theirs (out of laziness or any other misguided motivator), would be the time for a very pointed discussion. The presence of the human in the loop is sacrosanct, to my way of thinking.

The thing of which we must all be aware is that there really do exist layers of management within corporations who know nothing whatsoever of the core competencies of the company, but focus only on "controlling costs" and "improving shareholder value", often allowing the actual product itself (whatever it might be) to suck hind tit. These are the ones to watch out for: those who would be perfectly happy to simply have somebody write a prompt for them that appears to render the assertions of human judgement and creativity expensively moot, to "save the headcount". They are are fools, of course, and always have been. This is not new: I've ridden a couple of startups right into the ground, as the upper management followed only the siren song of the shareholder-value precept (along with the expansion of their own salaries), and ignored the details of the original core business.

Ahh, well. In this brave new world, every company will find their own position to occupy on the human versus machine continuum, as will every employee who retains their job. It will always be an individual, local decision. But it must be a decision: and in both cases, I will continue to have no respect whatsoever for those who choose to simply delegate everything to a non-human entity, unsupervised, so that they can maximize their income, and their time on the golf course or in the bar. I'm particularly thinking of the author of that article I linked to a few posts earlier as a great example. But I have no doubt that there are thousands of MBAs with VP titles in the C-suites of a thousand businesses who are making the same mistake, even as we speak. Frankly, I expect a lot of situations closely akin to Boeing's "acquisition" of McDonnell-Douglas to play out in the short term.

Hope that helps a little, in the process of thinking about these tools. But once again, your mileage will almost certainly vary.
 
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I have no doubt that this is true.

I also note that you have shown a great example of the use of this mechanism as an assistive tool, wherein it is the human in the loop (yourself) who decides on the actionability of any given alert. This is absolutely the correct use of these things: by all means, let them filter through the noise, and present what their training and prompting indicates might be signal to you, for you to review. You can then apply your hard-earned experience to make a decision as to priority, and whether or not to follow their suggestions with respect to solving the issue.

This, I think, is exactly right and proper: it is an application of this technology that I can respect, and indeed hope for. You have revealed yourself to be an educated, conscientious, and well-reasoned user of the tool.

What I cannot respect would be the situation where some manager with no actual experience in the art decides to simply delegate the entire process to some LLM, including the critical decision making. While that is clearly not the use in your particular case, I'm quite convinced that that is not the general case across the shambolic rollout of these tools.

I'd happily let an employee of mine use this mechanism as an assistive tool- hell, I might eventually give it a shot myself, should I live so long. However, the moment I caught wind of them letting the tool do their jobs for them, in terms of allowing its nonexistent "judgement" to override theirs (out of laziness or any other misguided motivator), would be the time for a very pointed discussion. The presence of the human in the loop is sacrosanct, to my way of thinking.

The thing of which we must all be aware is that there really do exist layers of management within corporations who know nothing whatsoever of the core competencies of the company, but focus only on "controlling costs" and "improving shareholder value", often allowing the actual product itself (whatever it might be) to suck hind tit. These are the ones to watch out for: those who would be perfectly happy to simply have somebody write a prompt for them that appears to render the assertions of human judgement and creativity expensively moot, to "save the headcount". They are are fools, of course, and always have been. This is not new: I've ridden a couple of startups right into the ground, as the upper management followed only the siren song of the shareholder-value precept (along with the expansion of their own salaries), and ignored the details of the original core business.

Ahh, well. In this brave new world, every company will find their own position to occupy on the human versus machine continuum, as will every employee who retains their job. It will always be an individual, local decision. But it must be a decision: and in both cases, I will continue to have no respect whatsoever for those who choose to simply delegate everything to a non-human entity, unsupervised, so that they can maximize their income, and their time on the golf course or in the bar. I'm particularly thinking of the author of that article I linked to a few posts earlier as a great example. But I have no doubt that there are thousands of MBAs with VP titles in the C-suites of a thousand businesses who are making the same mistake, even as we speak. Frankly, I expect a lot of situations closely akin to Boeing's "acquisition" of McDonnell-Douglas to play out in the short term.

Hope that helps a little, in the process of thinking about these tools. But once again, your mileage will almost certainly vary.
This is a much better way of saying what I have been trying to say. Well done!
 
What I cannot respect would be the situation where some manager with no actual experience in the art decides to simply delegate the entire process to some LLM, including the critical decision making. While that is clearly not the use in your particular case, I'm quite convinced that that is worryingly common across the shambolic rollout of these tools.

Such companies will filter themselves out through failure sooner or later.

As an IBM executive said back in the 60s - a computer can never be held accountable, so should never make a management decision.

Rang true then, rings true today.
 
I have another workflow that scrapes RSS feeds and scans them for various products that I use and lets me know anything that pops up.

I've never been a big RSS person though and there's some bugs in that workflow I need to sort out.

If people haven't used n8n before, this is what it looks like (workflow for my zabbix alert bot, the prompt is entered into the "Bob" node)

My n8n instance is hosted on my NAS and a bit of screwing around to configure, but you can host it trivially on the internet.

Essentially n8n is like the "glue" that you can use to connect apps to AI and AI to apps...

View attachment 2633106

This reminds me of Yahoo Pipes, which I loved.
 
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Such companies will filter themselves out through failure sooner or later.

An optimistic viewpoint. In reality, monopolies don't always filter themselves out in reasonable periods of time. Speaking of which:

As an IBM executive said back in the 60s - a computer can never be held accountable, so should never make a management decision.

Funny you mentioned IBM. IBM made a number of poor "mainframe" technology/market decisions in the late 60's and early 70's, which brought about, e.g., Amdahl, but, the reality is that only when minicomputer technology became powerful enough to challenge the low end of the mainframe market in the mid-1980's did IBM start to get in trouble, and only when killer micros arrived in force in the 1990's was IBM really forced to change. For an extra couple of decades, IBM suits were able to retire to the country-club golf-course suburbs in style. "Sooner or later" turned out to be "later".
 
This thread seems to just be a collection of abstract and contradictory fears. AI is going to take all our jobs, we're screwed. It'll be just like the Industrial Revolution when there was so much demand for labor they had kids working. Nobody is preparing the next generation for the AI future. Teachers are being irresponsible in suggesting kids use AI to solve problems. AI is going to lead to stupid people making bad decisions. AI is going to lead to monopoly power just like it did in the '60s. Companies are going to get rich because they're going to stop caring about products people want. Management is always making bad decisions, I hope they don't let AI make decisions for them.

This all sounds to me like people don't understand what AI is. They see it as some new magic distinct in some sinister way from the more cuddly old magic. We've grown accustomed to and trust 10, 20, 50 year old magic as the better way of doing things. All of these fears about the economy, or management decision making, or our kids growing up ignorant have nothing to do with AI, AI is just a convenient frame to hang them on.
 
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As an example of some of the alert triage I am getting, this one saved some hardware on New Year's 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:

View attachment 2633082


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.
That sounds like a pretty solid use case, you’ve set it up well.

What I’ve been thinking about is whether I could possibly make something akin to Perplexity using my offline LLM. Spending money on it is not an option, unless I get way more work than I expect once I finish my accreditation.

Currently, using Ollama with Chatbox for an interface, and a free tier Ollama API for web search, it kinda works.

I might try LM Studio with Duck Duck Go next, but I can’t help feeling there is a step I’m missing.
This is at least a detailed response that allows one to see how it works. Thank you!
Yes, I’ve often asked for examples of what AI is good for, and if anyone even bothered responding I just got super vague answers. This is great.
 
This thread seems to just be a collection of abstract and contradictory fears. AI is going to take all our jobs, we're screwed. It'll be just like the Industrial Revolution when there was so much demand for labor they had kids working. Nobody is preparing the next generation for the AI future. Teachers are being irresponsible in suggesting kids use AI to solve problems. AI is going to lead to stupid people making bad decisions. AI is going to lead to monopoly power just like it did in the '60s. Companies are going to get rich because they're going to stop caring about products people want. Management is always making bad decisions, I hope they don't let AI make decisions for them.

This all sounds to me like people don't understand what AI is. They see it as some new magic distinct in some sinister way from the more cuddly old magic. We've grown accustomed to and trust 10, 20, 50 year old magic as the better way of doing things. All of these fears about the economy, or management decision making, or our kids growing up ignorant have nothing to do with AI, AI is just a convenient frame to hang them on.
The full explanation of our fears was deleted from the thread, because it strayed over the line into political discussion. Given the rules, I can’t explain my position unless we move to the politics section.

There are many legit uses for AI, that’s not the issue. If LLMs and diffusion models were just a bunch of tools and technologies for people like @throAU to help make their job a bit easier, there’d be very few complaints.

*note to mods: I’m explaining, not complaining
 
This thread seems to just be a collection of abstract and contradictory fears.

thank you for your contribution to the genre:

This all sounds to me like people don't understand what AI is. They see it as some new magic distinct in some sinister way from the more cuddly old magic. We've grown accustomed to and trust 10, 20, 50 year old magic as the better way of doing things. All of these fears about the economy, or management decision making, or our kids growing up ignorant have nothing to do with AI, AI is just a convenient frame to hang them on.

are you saying that abstract babble is better than fear? neither explains 'what AI is'.
 
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The full explanation of our fears was deleted from the thread, because it strayed over the line into political discussion. Given the rules, I can’t explain my position unless we move to the politics section.

There are many legit uses for AI, that’s not the issue. If LLMs and diffusion models were just a bunch of tools and technologies for people like @throAU to help make their job a bit easier, there’d be very few complaints.

*note to mods: I’m explaining, not complaining

I suspect if we were able to wander into that area, we'd find agreement. Not because AI itself is a problem but because it does its job very well and makes people who use it much more effective and efficient. People used to ask me why I'm so worried about Google and not big brother, and my answer has always been "because Google is better at their job". AI makes people better at their jobs, including those of whom we mustn't speak.

Here's the thing though: it does make a lot of people better at their jobs. If you're worried about something you can't discuss, then it's not really helpful to spend your time complaining about something else as a proxy. To the extent that your complaints are taken seriously it only serves to withhold the potential benefits of the technology while not restricting the unrestrictable class in any way.
 
Last edited:
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