llm

Software development ethics

I’ve been doing a lot of thinking about my choices of software of late in the face of “the sloppening”. LLMs have infiltrated many open-source projects, some of these being ones I’ve used for decades.

This has put me between a rock and a hard place. On the one hand, I wish to support ethical choices in technology. LLMs are not ethical. On the other, security vulnerabilities will drag me down the road of LLM use whether I want it or not: we can’t simply ask attackers “please don’t use LLMs” — if that worked then our prison systems should be empty.

My objections to LLM use

I covered this in detail in my last post, but it boils down to this:

  1. LLM output, whilst itself not directly applicable to copyright (as it is not the work of a human), can sometimes contain the copyrighted work of other humans (e.g. like this) in violation of the license agreements that those copyrighted works are distributed. There exists a legal risk that users of “derivative works” of copyrighted material may be found liable for unauthorised use of this copyrighted material.I don’t want that risk!
  2. Current generation LLMs are trained on material that is merely scraped off the Internet using poorly coded and highly inefficient scraper bots, then labelled with the aide of humans — often slave labour in developing countries. — I do not wish to support the slave trade!
  3. Whilst the effort right now with LLMs is to achieve “human-level” intelligence, the ability of current technology to effectively simulate a neural network with the complexity and density of a human brain is severely lacking, requiring vast data centres that consume exorbitant amounts of electrical energy and producing vast amounts of thermal energy that must then be radiated away, represents a threat to our climate ecosystem that cannot be justified at any cost. — I value the natural environment that our society exists in!
  4. Development of these tools is progressing at such a rapid pace, that current generation equipment depreciates at a rapid rate, requiring frequent replacement. Semiconductor production is necessarily a resource intensive industry and the frequent manufacture–commissioning–decommissioning cycle is producing massive amounts of e-waste whilst putting heavy demand on these facilities, further compounding the already poor environmental footprint.
  5. The output of these tools is often wrong, requiring the user to send the work back to be re-worked. Wasted time and effort. Computers in the 1950s might’ve been wrong occasionally, but it was generally traced down to failure of hardware components, the mathematical concepts underpinning this were sound, better manufacturing and components fixed this. “Hallucination” (really confabulation) is presently believed to be unfixable.
  6. It is said that relying on these tools has been shown to reduce one’s cognitive abilities, increasing dependence on these tools for functional work.
  7. Financially, the companies running these systems are a house of cards on the verge of collapse. No LLM vendor right now is making a profit. When the real bills finally arrive, will you be able to afford them? If they go bust, can your work continue without?

My legal objection to LLM use

The first of these is a legal argument, and really it’s going to take time, but eventually there will be a test case that will confirm whether my suspicions are founded. I am not a lawyer, so take what you see there with a grain of salt, but to be a successful software developer, one must have at least some basic understanding of the legal principles at play here, otherwise you find yourself in court (or in gaol) instead of in front of the computer.

I don’t have the money to fend off a potential case of copyright infringement, nor do I want to spend time having to mop up after someone is found guilty of such infringement. Code from a LLM, even if it looks novel and new to us because we’ve never seen it before, existed somewhere, and few have the resources to properly conduct a check to see where it came from.

Ethical objections

Points 2-4 point out the ethical issues, notably sourcing of training material, slavery and environmental concerns.

I fully expect that as technology gets better, we may see hardware that is better able to simulate the biological systems these tools try to emulate. Greater density, lower power consumption, less thermal waste output. The Manchester Baby was an early implementation of the Von-Neumann computer architecture that underpins the basic principles of every personal computer today… it needed 3.5kW to run this early 32-bit computer which had a mere 128 bytes (in today’s measurement; 1024 bits) of memory and ran at around 1100 instructions per second. There are ARM Cortex M0+ cores today (also 32-bits) with thousands of times more memory, clock speeds in the hundreds of megahertz and run full speed with less than 1W of power.

That part will get better. Even if they do fix that problem though, they still likely will be enslaving people to do the labelling skulduggery and using pirated material to boot. They need to solve this problem too, but so far, their efforts have been on trying to be made exempt from those rules.

Practical concerns

The financial situation suggests prices will skyrocket once funding dries up, and when that happens, people using these tools will face a choice: hike their fees to cover the increased costs, or abandon the tools en masse and return to the “old way” of doing things.

I also question the logic of feeding tokens into a machine and pushing a button, hoping that this time, we’ll hit the jackpot and get useful output. If I wanted to earn an income that way, I’d visit the local poker machine.

My actions going forward

There are two classes of software I need to consider, the software packages I simply use, and those which I actually contribute to. In both cases, some have viable replacements that I can switch to, some may have viable replacements in the future, some I still need to keep using, some I can abandon.

Linux kernel

Dealing with this is a tough nut. The core kernel project is now using LLMs as part of their core workflow. Linus Torvalds basically told us to fork it or leave if we don’t like it. I considered both:

“Fork off”, use something else

This isn’t a full list, but I looked at several options:

  • NetBSD looks like a good option for a lot of my servers. It is open-source, POSIX-compatible and does many of the things I need of a server. At the moment this blog runs on AlpineLinux, but moving it over to NetBSD is very doable.

    As a desktop I gave it a try, hardware support being its big Achilles heel — it can’t tap into the hardware support Linux has without tainting the kernel with GPLv2-licensed code, so drivers must be written from first principles. Support for interfaces like Bluetooth are really lacking (mind you, it at least supports it unlike OpenBSD). It feels a lot like Linux circa early 2000s. It’s a good base we could build from, but lots of work is needed.

    For non-x86 platforms, the situation is quite spotty. My TS-7670s basically would require me to dig through the Freescale i.MX28 user manual and port the kernel to this new (to NetBSD) SoC, before then porting the TS-7670 rev D board. My Raspberry Pis are harder still, because much of the documentation for these is under a NDA from Broadcom. A Linux fork is really my best option for these.

    While the kernel is free of slop, there are some packages shipped in the base OS that have some slop in them (e.g. Postfix). Not a lot we can do there.
  • OpenBSD is also an option on the servers, and I already do run some with OpenBSD. tmux is vibe-coded now, but that’s not a core component of the OS (despite being shipped in base) and can be safely ignored — I use GNU screen anyway.
  • I can rule out FreeBSD as they now embrace the slop. Might as well stay with Linux in that case.
  • Similarly, I can strike out 4.4BSD fork DragonFlyBSD as they embrace slop too.
  • RedoxOS has a no-AI policy, but is a long way from being usable as a desktop as it lacks support for common hardware such as WiFi and is still in an early development phase. Worth looking at later, but not viable yet.
  • HaikuOS has come a long way. It’s a re-implementation of BeOS, and like RedoxOS, has a no-AI policy. Many common software packages run on it. I played with it in a VM and it actually did feel like a nice desktop OS. There is an ARM64 port of it, but when I tried that on my Raspberry Pi 400, it refused to boot. So not ready to displace Linux yet, but looking good.
  • Illumos is a fork of OpenSolaris, so basically a genetic Unix rooted in BSD and Sun ancestry. Has an anti-AI policy, supports a lot of software, but hardware support is lacking.
  • 9Front looks interesting, but very esoteric. It is a continuation of Bell Labs Plan9. It too has a no-AI policy, but hardware and software support is probably not going to make it a practical choice for me.
  • GNU Hurd doesn’t seem to have moved far from where it was in the 90s when Linux first started and displaced it as “the” GNU kernel. It is clean of slop as far as I can tell, and it is even supported by Debian and Gentoo, Hardware support is lacking, but being a GPLv2 kernel, we could possibly port Linux drivers and features over to it — this would be a big job though.

I might’ve missed something, but that looks like a pretty extensive list. Of that list, NetBSD seems to be the best approach, failing that maybe getting behind HaikuOS (for a desktop) or filling the gaps in Hurd (if we want to re-purpose GPLv2 code).

“Fork it” approach

Under the terms of the GPLv2, we’re allowed to do this. The “Linux™” name is trademarked, and while it’s tempting to mention an alternate name just now, I know the moment such a name is mentioned, it’ll be off to the races to the nearest domain registrar to snag the .org domain for it ahead of the squatters. Linus himself already knows about people squatting names and profiting from it, which is why he now holds the trademark in the first place.

This is not something I can do alone. Arguably, I don’t feel I’m a skilled enough coder to do this either. I know enough C code to be dangerous, but this is playing with stuff deep in a system where I have never needed to stray before. That said, in the aim of “getting the ball rolling”, I made a start. I also made a map of where known slop is in the kernel so in the meantime, I can avoid touching it.

An uncomfortable truth with this: we will get security vulnerability reports from people that used LLMs to discover them even if we ask them not to use such tools.

I don’t want to condone such use in any way, but nonetheless, a security bug is a security bug. I don’t think it’s unreasonable to push back on submitters and ask for a human-written-and-verified proof-of-concept, but people will be feeding this code to LLMs to find holes whether we like it or not. Such a fork should aim to patch vulnerabilities with slop-free commits, but refusing to fix it at all because a LLM was involved isn’t a viable option as the bug can still be exploited.

Another uncomfortable truth, people will sometimes neglect to disclose LLM use, either accidentally or deliberately. Where we have obvious and clear evidence, we should reject such commits. Otherwise I’m willing to operate on the principle of “innocent until found guilty”, as its nearly impossible to tell just scrutinising a commit in isolation.

That said, I feel like maintaining a long-term support fork that just focusses on keeping the security updates maintained will give those of us with existing systems a viable platform that will allow us to run our existing software stacks. This won’t be “big and professional” like Linux (yeah, I know), but if a few of us band together and pitch in, it’ll give many of us what we need in the immediate term whilst the alternatives get up to speed.

Linux distributions

I already use Gentoo as my desktop OS of choice, so there I’m clear. I have a few machines that run other OSes, notably a couple of Ubuntu and Debian servers, my Ceph storage cluster all run Debian, my Mastodon instance is Debian. I have a tablet running Debian 13, and Raspberry Pi OS on a few Raspberry Pis.

Most of my servers run AlpineLinux, I do not know what their policy is, but so far I’ve not seen any slop creeping in.

I have run Gentoo on servers before, but I think if a re-load is on the cards, I’ll be looking at NetBSD first. Failing that, it may be a case of I figure out a build environment that can keep grinding away at security updates for my fleet so I can perform updates in a timely manner.

Desktop environment

My current desktop is FVWM. This is a X11 window manager, and while FVWM itself is slop-free, the next release of X.org server is not. I am watching CoW very closely, and have given it a try from time to time. Wayland itself seems to be slop-free, but it is lacking some features of X11, notably accessibility is a big issue.

For my tablet, a decent on-screen keyboard is a must, right now I use Onboard which I’ve found to be the best option (although I note now, they have jumped in bed with Claude as of June this year), but this only works on X11. Things I need: basically look at any laptop keyboard — letters and digits, with symbols in their usual places, all modifier keys, function keys and navigation keys. Just because I’m using a tablet does not mean I won’t be interacting with pointer-naïve terminal applications, possibly via SSH… and sometimes interacting with a text field is easier done with on-screen arrow keys than with touch, not even Apple or Google can make pure-touch work.

I need to figure out a screen locking solution, I use XScreensaver at present which is a good option, but it depends on features that are X11-only. It also does not work with on-screen keyboards. I theoretically could fork it, but given recent experience, I’m not sure that my derivative work would be welcome. Better approach might be to deal with a screen locker that maybe isn’t as pretty, but achieves the necessary job: locking the workstation securely on a Wayland desktop. For the tablet, it’ll need on-screen keyboard support — I need to be able to unlock without a USB keyboard plugged in.

I have not seen a Wayland launcher that I like, so I’m quietly working on my own based on ideas I came up with when I last pondered desktop environments.

Other applications, I’ve previously used a lot from the KDE desktop, but that is something I’m starting to review as they embrace the slop. I historically have disliked GTK+ for its insistence on spewing error logs to stderr, but nonetheless, as at this time, this is the only main-stream widget set now that remains slop-free with Qt, wxWidgets and FLTK all embracing slop.

So where I had a Qt preference years ago, I’m now moving to GTK+: it appears the UI toolkit might be finally over, with the opposition choosing self-sacrifice and GTK+ winning by default.

Bluetooth stack

Right now I use BlueZ, and it is useful as a means of moving files to/from the mobile phone as well as a key part in managing the audio links to headsets. If I switched OSes, I’d be looking at something with a similar feature-set.

Sadly it embraces the slop now. Thankfully I haven’t needed to dig into its code… I can put up with it for now, but a more ethical option would be welcome.

Audio subsystem

Right now I use pipewire for managing audio as it is a very usable blend of features from PulseAudio and JACK. I like the ability to filter audio through applications where needed and would like to keep this feature. Its integration into the BlueZ Bluetooth stack is good too.

I think JACK is cross-platform, but PipeWire is likely Linux-only, and it recently has embraced the slop. I know OpenBSD has its own called sndiod, this probably can compete with PulseAudio but not with JACK/Pipewire.

For now unless I need to actually debug it, I can “put up” with it.

Web Browser

I dislike Chromium because of its multi-day long builds from source code, it’s a very time consuming package to compile from source. As a Gentoo user, that is the default way it is shipped, as source code you compile yourself. I also dislike the idea of an Internet web browser mono-culture. We had this 25 years ago with IE and it was hell.

The only thing in Chromium’s favour is that it is open-source, so we can port it and build it ourselves, but that’s about where the advantages end. The principle maintainer, Google, are a major LLM vendor, and very much want to encourage people to use their services including Gemeni. I haven’t checked, but I can’t imagine Google not using LLMs to code their browser engine.

I’m a Netscape user from way back: in 1997 it was the only viable option for getting on the Internet with Linux and so that’s what I got to know. When Mozilla formed from Netscape’s ashes, I switched over to using the full Mozilla suite (which lives on as Seamonkey) and when Firefox came, I switched to that. Building Firefox from source can be done in a couple of hours on even reasonably modest hardware, vs about 5 days for my teenage laptop to build Chromium.

Mozilla have since come out as pro-LLM, a tone-deaf stance if ever I heard one, so much they not only use LLMs to code, they also integrate LLM features in the browser.

That said, they do include an OFF switch for the LLM features, and that I do respect. I’d have preferred if they made it an extension you chose to install if you wanted it, but they at least let me turn it off. This is akin to having a gun in a safe at home but not possessing any ammunition for it. I’d rather not have the gun in the house at all, but at least I’m not forced to have it loaded.

Servo Browser is one to watch in this space. It’s a ground-up implementation of a new HTML renderer to compete with Blink/Webkit/KHTML and Netscape Gecko. It’s a long way from daily driver status, but well worth getting behind, and they are making good progress. I wish them well and continue to follow from a distance. I’ll probably be testing some of my web-based projects with this engine going forward.

I’ve tried building Waterfox, but so far haven’t cracked it… so for now I stick with Firefox ESR. Last time I had to delve into its source code, it was trying to produce a compromise patch that would enable Firefox to build on more common MIPS platforms (e.g. SGI and Lemote) whilst retaining the compatibility for the PlayStation II that the Mozilla developers wanted to keep. Firefox is partially coded in Rust now so this is a moot point: Rust doesn’t work on MIPS.

As such, I haven’t needed to mess with its code in a long time. So short term, I’ll stay where I am, and start looking at getting behind Servo as the replacement.

Office Suite

Text documents I tend to do with LaTeX. This so far remains slop-free, but they’ve recently adopted a policy that permits LLM-generated commits so it won’t remain that way for long.

For spreadsheeting, gnumeric is “good enough”, and in fact its Engineering notation I find is a killer feature. It remains slop-free.

I do have LibreOffice installed for more complex tasks and interfacing with Microsofties. They’ve said they won’t add LLM features to LibreOffice (a stance I appreciate), but they have allowed its use with writing its code. Again, I don’t need to debug it, so I’ll deal with that later.

EDA

I don’t just write code, I design circuits too. I’ve bounced between a few, but the two I’ve used in the open-source world are KiCAD and GEDA. KiCAD is by far the better supported package. Sadly contains a lot of slop in it now, but once again, so long as I don’t interact with its code I’m not tainting myself.

There are alternative toolchains too, maybe the answer isn’t a “graphical” schematic capture, but to do something more like is done for FPGAs, a hardware-description language that translates to a netlist?

Graphics

Right now I use three tools principally: GIMP, Krita and Inkscape. GIMP recently started accepting slop (just the one commit) as have Inkscape (two commits). Krita remains clean (for now).

I mostly still use GIMP v2 because of my use of the XSane plug-in which has not yet been ported to GIMP v3. Inkscape taking this slop on is annoying, but so far I’ve not needed to debug it, so I can possibly put up with it for now until I can jump ship to an alternative.

Audio editing

I normally use Audacity for basic needs, I should give Tenacity a look.

For more advanced tasks I’ve used Ardour but given I’ve not gone deep into learning Ardour, switching to something like LMMS isn’t a big issue.

Video editing

Historically I’ve used Kdenlive, so far it remains clean. ffmpeg though is a mess.

Text editing

My bread-and-butter, editing plain text files is how I’ve been earning a living for the past 18 years or so of professional life. My go-to until recently was gvim, but as they now embrace the slop, I switched over to hard fork gevi. An easy switch because EVi at this time, is practically identical to Vim, all my plug-ins and configs JustWork™.

This blog

This blog currently uses WordPress 7.1, which includes their Gutenberg block editor. I did look at alternatives some time back, I use this WordPress instance as an ActivityPub node, and that’s not something that’s well supported in the other platforms.

Migrating to something else is also not so easy… thankfully I host it myself so I have control of my data either way.

My social media instance

I run my own Mastodon server, have done for a couple of years now. There is some (two commits) slop there, but generally things have remained clean. The modifications I’ve made were done long before this slop appeared, and I’ve merely been using git stash save / update / git stash pop to move the patch between releases.

Migrating to something else is not exactly trivial, even changing hostnames isn’t easy.

Writing my own software

So I write a lot of my own software. When I needed an embedded AX.25 stack for a project for Brisbane WICEN, I wrote aioax25. When I needed a SSTV encoder after finding pySSTV wasn’t performant-enough, I wrote libsstvenc. I’m in the process of writing my on launcher.

You’ll see lots of examples on my Github and Codeberg repositories.

Going forward, I’ll probably start looking more carefully at my dependencies. Notably, I do not wish to force a hard-dependency on a LLM-infected project unless there is no viable alternative.

aioax25 is actually tested on Python 3.9 and up, and I’ll keep supporting this as long as I practically can. The code is written with Python 3.5 in mind, so it should still work there too even though I don’t regularly test it on that. This in theory opens the door to use on other Python-compatible language interpreters like Omegathon (untested). It also has no hard dependency on an OS: it should in theory work just fine on NetBSD/OpenBSD as it does on Linux.

libsstvenc is straight C and doesn’t itself have any dependencies, the example programs support libgd which is clean of slop for now. GNU GCC have stated they won’t allow LLM-generated commits for the compiler itself, although there are a couple of commits already for their Fortran compiler, their C/C++ compiler remains clean for now. If I remain conservative with the version of C standard, this allows use of any pre-slop C compiler that meets the spec.

Checkpoint Reporter is written in pure Java using the OpenJDK v8 SDK. I can confirm it runs fine on NetBSD, and so far, big LLM boosters Oracle have requested that people not use LLMs for contributing to OpenJDK. This position I do welcome, but it does make me raise an eyebrow given how pro-LLM, if it’s supposedly so good, why not? Their lawyers must know something they’re not willing to share. I might have to review its use of Maven, this was a default option when creating a project in Netbeans, it may be that good ol’e Ant might be the better option. I’ll have a look.

My biggest gripe with Java remains their reluctance to consider serial devices: all solutions I can find require JNI (with bindings compiled for each desired platform, so much for write-once-run-everywhere, Ugh!). Highly annoying.

The launcher I’m writing, right now I’m trying gtkmm and friends as an alternative to Qt, which was my previous go-to UI toolkit. Again, if I stick to older C++ standards (gtkmm requires C++11, C++20 is widely supported too), people can choose to use an older release of GCC or LLVM that’s pre-slop, or in theory, any other compiler that supports that revision of C++. gtkmm itself too, is clean, and if I support as old a release as practical, that’ll enable the launcher’s use on many pre-slop versions of Linux distributions and other Unix-like OSes. I use C++ here because it allows the tools use on platforms where more recent languages such as Rust and Zig are not available.

I might have a closer look at Rust, I’ve done some hello-world level stuff with it. The memory-management approach is an interesting one, and while their policy allows “LLM ingestion” (meaning they let people feed its code to a LLM), they’ve stated that any contributions must be human-written (not just human-reviewed).

Zig may also be worth a look, it is manual memory management like C/C++, but it doesn’t have some of C’s flaws, and they have an anti-AI policy. Right now they use the LLVM back-end (which is itself, quite heavily LLM-tainted) but I hear they’re working on an alternative, so maybe in time they may sever that dependency (at least on common platforms).

eC is another I might look at. Rather than implementing the full compiler, theirs is effectively a transpiler to C. So it can sit atop gcc, clang or anything else.

I have written Go code in the past, but won’t be doing so from here on in. Especially as Go as a language isn’t anything special memory-management wise: it uses garbage-collection the same as Java and C#.

I mentioned Omegathon which is a Python 3.9 fork, Tauthon forks Python 2.7 and adds some interesting features from Python 3. Given I usually enjoy working with Python, these might be worth looking at closer.

For JavaScript, I lately have been using ReactJS because of my need to understand it at work, but I really haven’t enjoyed dealing with ReactJS and so will look at other options. The elephant in the room here is tools like webpack that are LLM-infested. Avoiding slop in this ecosystem is not an easy or trivial task, especially as there isn’t a mainstream open-source browser that is clean.

In short, while slop is invading a lot of projects, there looks to be some scope to dodge the slop when creating new software, and there are things I can do to ensure existing software I write can be used in a mostly slop-free environment if that is something people want. I aim to try to do this where practical.

My work situation in the age of “AI”

So its been a few years since I put my opinion piece on generative AI.

I continue to do work that is free from the outputs of large language models and still hold the view that these statistical models, whilst most definitely artificial are not intelligent. It looks intelligent because the viewer has never seen this content before, and is interpreting it from the view point of wanting it to be intelligent. The output would have existed somewhere. And in there, lies the danger from a legal standpoint: if that somewhere was a place the author very much wanted to stay private, there’s potential for copyright infringement and misappropriation of others’ intellectual property. Amnesty International calls it unlawful by design.

Much of this material is scraped with no regard to resource limits at the source, sometimes causing denial-of-service for legitimate users. In one case, Anthropic’s ClaudeBot found a mirror of the Linux kernel tree on infrastructure I run, and decided to scrape that. It hit the VM so hard, it triggered a high-temperature alarm on the server concerned! Now there are two points I’d make here:

  1. There copies of this same source code on “faster” servers than mine, like kernel.org itself or any of its mirrors.
  2. They could just use git clone to grab their own copy of the code, and scrape that instead of asking my server to spend CPU cycles fetching the source, the HTML pretty-printing the source, only for them to extract the source code they came to scrape.

The latter point shows a total disregard for doing things efficiently. The former point shows just how little intelligence these systems actually have… a few pages ought to have been enough to say “I’ve seen this before, nothing new here, move on”… but no, they kept hammering.

Much of this raw material then has to be categorised and sorted before it can be fed into the training algorithms. More often than not, slave labour does this. This isn’t talked about much, but cheap labour from second/third world countries is the principle source for this labour.

The larger-scale systems continue to have an appalling environmental record, both in terms of their running costs, but also in their construction. Companies want to build “AI” data centres here in Australia… gigawatt data centres. South Australia’s peak demand hit 3.274GW in 2025, and there are proposals to build data centres that draw a third of this peak, all the time. It’s good that the Australian Government demand that such facilities build “new renewable generation“, however that consumed energy must go somewhere, and it’ll be into the atmosphere around the facility. The environmental impacts will likely be enormous.

This is just running costs, there is also hardware replacement costs, because this stuff works hard, wears out quickly, and is obsoleted even faster. Cory Doctorow points out that this equipment is allegedly replaced every 2 years, with the new replacements requiring a full datacentre refit as the new parts are not backward compatible with old installations. Semiconductor production requires a lot of water, a lot of very pure water, and high energy consumption. This is hardly environmentally friendly!

As such, I have big ethical objections to using this stuff. I also have big legal objections to working with the output of these systems. Using a library that is coded using these tools, sometimes you can be lucky and things work… but if you ever have to debug that code or write a pull request, you’ve then got to dig into the slop. Get your hands dirty with it… figure out exactly what it’s doing, perhaps what you or it is doing wrong. You become tainted by that slop.

I raised these issues with my workplace last year… their response was two fold:

  1. they put out an “AI policy” dictating how it should be used
  2. they subscribed to Anthropic’s Claude service

Now my work colleagues, instead of writing code, are cosplaying as IT managers micromanaging virtual junior developers. There is slop everywhere. Not only did management pretend they could “policy” their way out of a situation that even the High Court of Australia has not yet decided on… but they’ve actively encouraged everyone to join everyone on the slop train, because otherwise they’ll be “left behind”.

Funnily enough, our very own code-of-conduct has words about this:

Protect the environment by making environmentally friendly choices

It would seem they do not honour their own code-of-conduct. A facility that needs energy equivalent to a third of an entire state’s peak demand doesn’t sound like an “environmentally friendly” choice to me.

And while I do value co-workers contributions, the ones they themselves produce… that value is not required to extend to contributions made by external parties. Anthropic Claude is not a human, and as such in Australian law, cannot be held accountable for its actions or enter into contracts. Therefore it cannot be considered an “employee” or co-worker. I will not value its input here.

Even if LLMs did not have these issues, there is also the matter of cost. My workplace frequently cried poor when I asked for some equipment to do our jobs properly. This meant we were guessing with high-stakes projects, and this stress was causing me burn-out. Automated systems badgering me to submit timesheets (I always did, the “reminder” often arrived 3 days after I had submitted completed timesheets), or enable unwanted LLM features further intensified this burn-out.

The reality of my work had changed too… I’m mostly a firmware developer these days as JavaScript’s idiosyncrasies drive me up the wall, and the project I do this for, is a mature product. There isn’t that much work to do, just occasional maintenance of the code base. It didn’t justify 5 days a week, and I was stressing out trying to figure out how to fill-out a 38 hour week. So I dropped back to 3 days part-time… 22½ hours a week.

That worked well, there was a project to port this firmware over to a new hardware platform, that kept me busy… until late last year. I started my own little project to make a test rig for this firmware project, so we could have automated testing of firmware images — something I’ve wanted to do since about 2019. I got a prototype going, and had boards on order for me to build: the order got cancelled, because they were “not going ahead” with that project.

So that killed the only thing that has been keeping me busy the past few months. I’ve been thumb-twiddling the past few weeks since returning from long-service leave. I feel my head is on the chopping block, and I’m just waiting for the executioner to swing the axe. My thought is the sooner this happens, the better!

I have big concerns about the financial viability of my workplace if they start building their whole workflow on these LLMs. As Cory points out in that video, the financial situation of these tools is not great. Anthropic for example, is estimated to have earned US$22 billion, but have spent US$331.1 billion… a loss of US$309.1 billion… in the time they’ve been operating. Nikkei Asia believes may of these leading LLM providers are hiding as much as US$1.65 trillion in debt. Oracle has apparently over-invested so hard in “AI” that S&P downrated their credit rating to “just above junk”.

This is a financial house-of-cards waiting to be blown apart by the slightest puff of breeze. The financiers are waking up to this reality, and are now starting to ask hard questions of company boards. Much of LLM subscriptions are subsidised by venture capital, and when this funding is pulled, LLM subscription costs will skyrocket. Businesses that are dependent on these tools will be sent to the wall with crippling bills if they don’t reign in their usage.

Back at the tail end of 2010, I was hired as a contractor for the organisation that would, in 2022, itself be acquired by a larger organisation. I was a contractor until they hired me full-time-permanent in 2013. I had offers from more prestigious places, but this was a “devil I know” situation, and at the time, I was comfortable where I was.

A fatal accident would forever change the culture of the place, but we largely stayed “the same” up until 2020. Just prior to that fateful day, a colleague and I were working on a re-vamp of the office network. A project spearheadded and lead by the person who sadly lost their life that day. I poured my heart and soul into that project. When we did switch over, we had something that would be the envy of organisations today: all our data was hosted in-house, email, calendars… working in any standards-compliant client. A network where the client OS largely didn’t matter, you could use the tools that suited what you did.

After that event, I wanted to quit, but I kept going because at that point, projects that we collaborated on now had a bus-factor of 1… me. So I stayed, and kept going. A couple of years later, the firmware project that would become basically my sole work started… and that, as frustrating as it was at times… was engaging and rewarding. That too, I poured my heart and soul into.

2020 hit, and lo and behold, we’re locked down. This was a big shift, and it got frustrating at times. But I stuck with it. Sale of the business was also a big topic… with various organisations looking at acquiring us. I had read the horror stories of what can happen when a little firm gets swallowed up, but I was assured “nothing would change”. When the purchase finally did happen in 2022, I was apprehensive, but I made a point of “giving it a go” first. After all, maybe this would be different?

One of their first acts was to rip out the infrastructure I had poured my heart and soul into setting up… in favour of Office365. When this was announced, I couldn’t help this was merely being done for the sake of corporate fashion, much the same reason LLMs are being adopted today.

I thought, okay, Microsoft has changed their stance, maybe they’ve improved and their mail system isn’t the standards pariah it was in the past… wrong… we wound up with a mail system that couldn’t even deliver a email without subtly molesting it (enough to make PGP signatures fail). Later they’d manage to break sending on my account, so I couldn’t send an email from my work account, to anyone. Then they broke inbound email so I couldn’t email people at work from my home email address. I reported this, but yeah… years later, the problem persists. I’m fed up with it. I can talk to other Microsoft Office365 users from my home email server, just not my workplace. I can only see this as a deliberate decision they made to configure their server this way.

In 2023, my 10 years full-time service came up. I was starting to show signs of burn-out, but I figured if I quit at this point I’d never reach this milestone. It was a struggle to finally make it to that point, but I finally got there. A small amount of stress relief. With this, came some long-service leave. I also had a stack of annual leave I hadn’t yet used. After this milestone, the decision to drop to part-time permanent was made in an effort to recoup some work-life balance.

Now in 2026, I think my time there is done. The writing had been on the wall for some years. Spoken words might say one thing, but it was clear the direction was more towards front-end applications, which I can do, but I find the most frustrating. The incursion of LLMs into my work was the final straw. A year ago I delivered an ultimatum, it’s me or the LLM Late last year I warned that these tools would ultimately make my position untenable for legal and ethical reasons.

Looking around the office in mid 2026, hearing the chatter… I see they’ve chosen the LLM: I am done. Obsolete, and ready for the scrap heap.

Work-wise, I’m an oddball: while I have a preference for back-end work, I am a full-stack developer with talents that extend right down to circuit design. An “overqualified rejection” magnet. I also am a Linux specialist that’s starting to dabble in BSD and has absolutely NO interest in Microsoft, not even their online services. You can see my CV here.

That said, I’m not in a hurry and do not have a position lined up. I expect to take a break for the first bit of 2027 so I can process what was the last 16 years of my life… and figure out where I can go from here. Long-term employment might be my future, but we’ll see. I get the feeling yanking cables through conduits is going to be a better bet than software in 2027/2028 because it’s very hard to get a LLM to do that.