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ludic-mataroa-blog-hhnwdj.txt (30960B)

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 [1]Ludicity
 
 I Will Fucking Piledrive You If You Mention AI Again
 
 Published on June 19, 2024
 
 The recent innovations in the AI space, most notably those such as GPT-4,
 obviously have far-reaching implications for society, ranging from the utopian
 eliminating of drudgery, to the dystopian damage to the livelihood of artists
 in a capitalist society, to existential threats to humanity itself.
 
 I myself have formal training as a data scientist, [2]going so far as to
 dominate a competitive machine learning event at one of Australia's top
 universities and writing a Master's thesis where I wrote all my own libraries
 from scratch in MATLAB. I'm not God's gift to the field, but I am clearly
 better than most of my competition - that is, practitioners like myself who
 haven't put in the reps to build their own C libraries in a cave with scraps,
 but can read textbooks, implement known solutions in high-level languages, and
 use libraries written by elite institutions.
 
 So it is with great regret that I announce that the next person to talk about
 rolling out AI is going to receive a complimentary chiropractic adjustment in
 the style of Dr. Bourne, i.e, I am going to fucking break your neck. I am
 truly, deeply, sorry.
 
 I. But We Will Realize Untold Efficiencies With Machine L-
 
 What the fuck did I just say?
 
 I started working as a data scientist in 2019, and by 2021 I had realized that
 while the field was large, it was also largely fraudulent. Most of the leaders
 that I was working with clearly had not gotten as far as reading about it for
 thirty minutes despite insisting that things like, I dunno, the next five years
 of a ten thousand person non-tech organization should be entirely AI focused.
 The number of companies launching AI initiatives far outstripped the number of
 actual use cases. Most of the market was simply grifters and incompetents
 (sometimes both!) leveraging the hype to inflate their headcount so they could
 get promoted, or be seen as thought leaders^[3]1.
 
 The money was phenomenal, but I nonetheless fled for the safer waters of data
 and software engineering. You see, while hype is nice, it's only nice in small
 bursts for practitioners. We have a few key things that a grifter does not
 have, such as job stability, genuine friendships, and souls. What we do not
 have is the ability to trivially switch fields the moment the gold rush is
 over, due to the sad fact that we actually need to study things and build
 experience. Grifters, on the other hand, wield the omnitool that they
 self-aggrandizingly call 'politics'^[4]2. That is to say, it turns out that the
 core competency of smiling and promising people things that you can't actually
 deliver is highly transferable.
 
 I left the field, as did most of my smarter friends, and my salary continued to
 rise a reasonable rate and sustainably as I learned the wisdom of our ancient
 forebearers. You can hear it too, on freezing nights under the pale moon, when
 the fire burns low and the trees loom like hands of sinister ghosts all around
 you - when the wind cuts through the howling of what you hope is a wolf and
 hair stands on end, you can strain your ears and barely make out:
 
 "Just Use Postgres, You Nerd. You Dweeb."
 
 The data science jobs began to evaporate, and the hype cycle moved on from all
 those AI initiatives which failed to make any progress, and started to inch
 towards data engineering. This was a signal that I had both predicted correctly
 and that it would be time to move on soon. At least, I thought, all that AI
 stuff was finally done, and we might move on to actually getting something
 accomplished.
 
 And then some absolute son of a bitch created ChatGPT, and now look at us. Look
 at us, resplendent in our pauper's robes, stitched from corpulent greed and
 breathless credulity, spending half of the planet's engineering efforts to add
 chatbot support to every application under the sun when half of the industry
 hasn't worked out how to test database backups regularly. This is why I have to
 visit untold violence upon the next moron to propose that AI is the future of
 the business - not because this is impossible in principle, but because they
 are now indistinguishable from a hundred million willful fucking idiots.
 
 II. But We Need AI To Remain Comp-
 
 Sweet merciful Jesus, stop talking. Unless you are one of a tiny handful of
 businesses who know exactly what they're going to use AI for, you do not need
 AI for anything - or rather, you do not need to do anything to reap the
 benefits. Artificial intelligence, as it exists and is useful now, is probably
 already baked into your businesses software supply chain. Your managed security
 provider is probably using some algorithms baked up in a lab software to detect
 anomalous traffic, and here's a secret, they didn't do much AI work either,
 they bought software from the tiny sector of the market that actually does need
 to do employ data scientists. I know you want to be the next Steve Jobs, and
 this requires you to get on stages and talk about your innovative prowess, but
 none of this will allow you to pull off a turtle neck, and even if it did, you
 would need to replace your sweaters with fullplate to survive my onslaught.
 
 Consider the fact that most companies are unable to successfully develop and
 deploy the simplest of CRUD applications on time and under budget. This is a
 solved problem - with smart people who can collaborate and provide reasonable
 requirements, a competent team will knock this out of the park every single
 time, admittedly with some amount of frustration. The clients I work with now
 are all like this - even if they are totally non-technical, we have a mutual
 respect for the other party's intelligence, and then we do this crazy thing
 where we solve problems together. I may not know anything about the nuance of
 building analytics systems for drug rehabilitation research, but through the
 power of talking to each other like adults, we somehow solve problems.
 
 But most companies can't do this, because they are operationally and culturally
 crippled. The median stay for an engineer will be something between one to two
 years, so the organization suffers from institutional retrograde amnesia. Every
 so often, some dickhead says something like "Maybe we should revoke the
 engineering team's remote work privile - whoa, wait, why did all the best
 engineers leave?". Whenever there is a ransomware attack, it is revealed with
 clockwork precision that no one has tested the backups for six months and half
 the legacy systems cannot be resuscitated - something that I have personally
 seen twice in four fucking years. Do you know how insane that is?
 
 Most organizations cannot ship the most basic applications imaginable with any
 consistency, and you're out here saying that the best way to remain competitive
 is to roll out experimental technology that is an order of magnitude more
 sophisticated than anything else your I.T department runs, which you have no
 experience hiring for, when the organization has never used a GPU for anything
 other than junior engineers playing video games with their camera off during
 standup, and even if you do that all right there is a chance that the problem
 is simply unsolvable due to the characteristics of your data and business? This
 isn't a recipe for disaster, it's a cookbook for someone looking to prepare a
 twelve course fucking catastrophe.
 
 How about you remain competitive by fixing your shit? I've met a lead data
 scientist with access to hundreds of thousands of sensitive customer records
 who is allowed to keep their password in a text file on their desktop, and
 you're worried that customers are best served by using AI to improve security
 through some mechanism that you haven't even come up with yet? You sound like
 an asshole and I'm going to kick you in the jaw until, to the relief of
 everyone, a doctor will have to wire it shut, giving us ten seconds of blessed
 silence where we can solve actual problems.
 
 III. We've Already Seen Extensive Gains From-
 
 When I was younger, I read R.A Salvatore's classic fantasy novel, The Crystal
 Shard. There is a scene in it where the young protagonist, Wulfgar, challenges
 a barbarian chieftain to a duel for control of the clan so that he can lead his
 people into a war that will save the world. The fight culminates with Wulfgar
 throwing away his weapon, grabbing the chief's head with bare hands, and
 begging the chief to surrender so that he does not need to crush a skull like
 an egg and become a murderer.
 
 Well this is me. Begging you. To stop lying. I don't want to crush your skull,
 I really don't.
 
 But I will if you make me.
 
 Yesterday, I was shown [5]Scale's "2024 AI Readiness Report". It has this chart
 in it:
 
 Scale Report.png
 
 How stupid do you have to be to believe that only 8% of companies have seen
 failed AI projects? We can't manage this consistently with CRUD apps and people
 think that this number isn't laughable? Some companies have seen benefits
 during the LLM craze, but not 92% of them. 34% of companies report that
 generative AI specifically has been assisting with strategic decision making?
 What the actual fuck are you talking about? GPT-4 can't even write coherent
 Elixir, presumably because the dataset was too small to get it to the level
 that it's at for Python^[6]3, and you're admitting that you outsource your
 decisionmaking to [7]the thing that sometimes tells people to brew lethal
 toxins for their families to consume? What does that even mean?
 
 I don't believe you. No one with a brain believes you, and if your board
 believes what you just wrote on the survey then they should fire you. I finally
 understand why some of my friends feel that they have to be in leadership
 positions, and it is because someone needs to wrench the reins of power from
 your lizard-person-claws before you drive us all collectively off a cliff,
 presumably insisting on the way down that the current crisis is best remedied
 by additional SageMaker spend.
 
 A friend of mine was invited by a FAANG organization to visit the U.S a few
 years ago. Many of the talks were technical demos of impressive artificial
 intelligence products. Being a software engineer, he got to spend a little bit
 of time backstage with the developers, whereupon they revealed that most of the
 demos were faked. The products didn't work. They just hadn't solved some minor
 issues, such as actually predicting the thing that they're supposed to predict.
 Didn't stop them spouting absolute gibberish to a breathless audience for an
 hour though! I blame not the engineers, who probably tried to actually get the
 damn thing to work, but the lying blowhards who insisted that they must make
 the presentation or presumably be terminated^[8]4.
 
 Another friend of mine was reviewing software intended for emergency services,
 and the salespeople were not expecting someone handling purchasing in emergency
 services to be a hardcore programmer. It was this false sense of security that
 led them to accidentally reveal that the service was ultimately just some dude
 in India. Listen, I would just be some random dude in India if I swapped places
 with some of my cousins, so I'm going to choose to take that personally and
 point out that using the word AI as some roundabout way to sell the labor of
 people that look like me to foreign governments is fucked up, you're an
 unethical monster, and that if you continue to try { thisBullshit(); } you are
 going to catch (theseHands)
 
 IV. But We Must Prepare For The Future Of-
 
 I'm going to ask ChatGPT how to prepare a garotte and then I am going to
 strangle you with it, and you will simply have to pray that I roll the 10%
 chance that it freaks out and tells me that a garotte should consist entirely
 of paper mache and malice.
 
 I see executive after executive discuss how they need to immediately roll out
 generative AI in order to prepare the organization for the future of work.
 Despite all the speeches sounding exactly the same, I know that they have
 rehearsed extensively, because they manage to move their hands, speak, and
 avoid drooling, all at the same time!
 
 Let's talk seriously about this for a second.
 
 I am not in the equally unserious camp that generative AI does not have the
 potential to drastically change the world. It clearly does. When I saw the
 early demos of GPT-2, while I was still at university, I was half-convinced
 that they were faked somehow. I remember being wrong about that, and that is
 why I'm no longer as confident that I know what's going on.
 
 However, I do have the technical background to understand the core tenets of
 the technology, and it seems that we are heading in one of three directions.
 
 The first is that we have some sort of intelligence explosion, where AI
 recursively self-improves itself, and we're all harvested for our constituent
 atoms because a market algorithm works out that humans can be converted into
 gloobnar, a novel epoxy which is in great demand amongst the aliens the next
 galaxy over for fixing their equivalent of coffee machines. It may surprise
 some readers that I am open to the possibility of this happening, but I have
 always found the arguments reasonably sound. However, defending the planet is a
 whole other thing, and I am not even convinced it is possible. In any case, you
 will be surprised to note that I am not tremendously concerned with the
 company's bottom line in this scenario, so we won't pay it any more attention.
 
 A second outcome is that it turns out that the current approach does not scale
 in the way that we would hope, for myriad reasons. There isn't enough data on
 the planet, the architecture doesn't work the way we'd expect, the thing just
 stops getting smarter, context windows are a limiting factor forever, etc. In
 this universe, some industries will be heavily disrupted, such as customer
 support.
 
 In the case that the technology continues to make incremental gains like this,
 your company does not need generative AI for the sake of it. You will know
 exactly why you need it if you do, indeed, need it. An example of something
 that has actually benefited me is that I keep track of my life administration
 via [9]Todoist, and Todoist has a feature that allows you to convert filters on
 your tasks from natural language into their in-house filtering language.
 Tremendous! It saved me learning a system that I'll use once every five years.
 I was actually happy about this, and it's a real edge over other applications.
 But if you don't have a use case then having this sort of broad capability is
 not actually very useful. The only thing you should be doing is improving your
 operations and culture, and that will give you the ability to use AI if it ever
 becomes relevant. Everyone is talking about Retrieval Augmented Generation, but
 most companies don't actually have any internal documentation worth retrieving.
 Fix. Your. Shit.
 
 The final outcome is that these fundamental issues are addressed, and we end up
 with something that actually actually can do things like replace programming as
 we know it today, or be broadly identifiable as general intelligence.
 
 In the case that generative AI goes on some rocketship trajectory, building
 random chatbots will not prepare you for the future. Is that clear now? Having
 your team type in import openai does not mean that you are at the cutting-edge
 of artificial intelligence no matter how desperately you embarrass yourself on
 LinkedIn and at pathetic borderline-bribe award ceremonies from the malign Warp
 entities that sell you enterprise software^[10]5. Your business will be
 disrupted exactly as hard as it would have been if you had done nothing, and
 much worse than it would have been if you just got your fundamentals right.
 Teaching your staff that they can get ChatGPT to write emails to stakeholders
 is not going to allow the business to survive this. If we thread the needle
 between moderate impact and asteroid-wiping-out-the-dinosaurs impact,
 everything will be changed forever and your tepid preparations will have all
 the impact of an ant bracing itself very hard in the shadow of a towering
 tsunami.
 
 If another stupid motherfucker asks me to try and implement LLM-based code
 review to "raise standards" instead of actually teaching people a shred of
 discipline, I am going to study enough judo to throw them into the goddamn sun.
 
 I cannot emphasize this enough. You either need to be on the absolute
 cutting-edge and producing novel research, or you should be doing exactly what
 you were doing five years ago with minor concessions to incorporating LLMs.
 Anything in the middle ground does not make any sense unless you actually work
 in the rare field where your industry is being totally disrupted right now.
 
 V. But Everyone Says They're Usi-
 
 Can you imagine how much government policy is actually written by ChatGPT
 before a bored administrator goes home to touch grass? How many departments are
 just LLMs talking to each other in circles as people sick of the bullshit just
 paste their email exchanges into long-running threads? I guarantee you that a
 doctor within ten kilometers of me has misdiagnosed a patient because they
 slapped some symptoms into a chatbot.
 
 What are we doing as a society?
 
 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
 
 An executive at an institution that provides students with important
 credentials, used to verify suitability for potentially lifesaving work and
 immigration law, asked me if I could detect students cheating. I was going to
 say "No, probably not"... but I had a suspicion, so I instead said "I might be
 able to, but I'd estimate that upwards of 50% of the students are currently
 cheating which would have some serious impacts on the bottom line as we'd have
 to suspend them. Should I still investigate?"
 
 We haven't spoken about it since.
 
 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
 
 I asked a mentor, currently working in the public sector, about a particularly
 perplexing exchange that I had witnessed.
 
     Me: Serious question: do people actually believe stories that are so
     transparently stupid, or is it mostly an elaborate bit (that is, there is
     at least a voice of moderate loudness expressing doubt internally) in a sad
     attempt to get money from AI grifters?
 
     Them: I shall answer this as politically as I can... there are those that
     have drunk the kool-aid. There are those that have not. And then there are
     those that are trying to mix up as much kool-aid as possible. I shall let
     you decide who sits in which basket.
 
 I've decided, and while I can't distinguish between the people that are
 slamming the kool-aid like it's a weapon and the people producing it in
 industrial quantities, I know that I am going to get a few of them before the
 authorities catch me - if I'm lucky, they'll waste a few months asking an LLM
 where to look for me.
 
 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
 
 When I was out on holiday in Fiji, at the last resort breakfast, a waitress
 brought me a form which asked me if I'd like to sign up for a membership. It
 was totally free and would come with free stuff. Everyone in the restaurant is
 signing immediately. I glance over the terms of service, and it reserves the
 right to use any data I give them to train AI models, and that they reserved
 the right to share those models with an unspecified number of companies in
 their conglomerate.
 
 I just want to eat my pancakes in peace, you sick fucks.
 
 VI.
 
 The crux of my raging hatred is not that I hate LLMs or the generative AI
 craze. I had my fun with Copilot before I decided that it was making me
 stupider - it's impressive, but not actually suitable for anything more than
 churning out boilerplate. Nothing wrong with that, but it did not end up being
 the crazy productivity booster that I thought it would be, because programming
 is designing and these tools aren't good enough (yet) to assist me with this
 seriously.
 
 No, what I hate is the people who have latched onto it, like so many trailing
 leeches, bloated with blood and wriggling blindly. Before it was unpopular,
 they were the ones that loved discussing the potential of blockchain for the
 business. They were the ones who [11]breathlessly discussed the potential of
 'quantum' when I last attended a conference, despite clearly not having any
 idea what the fuck that even means. As I write this, I have just realized that
 I have an image that describes the link between these fields perfectly.
 
 I was reading an article last week, and a little survey popped up at the bottom
 of it. It was for security executives, but on a whim I clicked through quickly
 to see what the questions were.
 
 security_grift.png
 
 There you have it - what are you most interested in, dear leader? Artificial
 intelligence, the blockchain, or quantum computing?^[12]6 They know exactly
 what their target market is - people who have been given power of other
 people's money because they've learned how to smile at everything, and know
 that you can print money by hitching yourself to the next speculative
 bandwagon. No competent person in security that I know - that is, working
 day-to-day cybersecurity as opposed to an institution dedicated to
 bleeding-edge research - cares about any of this. They're busy trying to work
 out if the firewalls are configured correctly, or if the organization is
 committing passwords to their repositories. Yes, someone needs to figure out
 what the implications of quantum computing are for cryptography, but I
 guarantee you that it is not Synergy Greg, who does not have any skill that you
 can identify other than talking very fast and increasing headcount. Synergy
 Greg should not be consulted on any important matters, ranging from machine
 learning operations to tying shoelaces quickly. The last time I spoke to one of
 the many avatars of Synergy Greg, he insisted that I should invest most of my
 money into a cryptocurrency called Monero, because "most of these coins are
 going to zero but the one is going to one". This is the face of corporate AI.
 Behold its ghastly visage and balk, for it has eyes bloodshot as a demon and is
 pretending to enjoy cigars.
 
 My consultancy has three pretty good data scientists - in fact, two of them
 could probably reasonably claim to be amongst the best in the country outside
 of groups doing experimental research, though they'd be too humble to say this.
 Despite this we don't sell AI services of any sort. The market is so distorted
 that it's almost as bad as dabbling in the crypto space. It isn't as bad,
 meaning that I haven't yet reached the point where I assume that anyone who has
 ever typed in import tensorflow is a scumbag, but we're well on our way there.
 
 This entire class of person is, to put it simply, abhorrent to right-thinking
 people. They're an embarrassment to people that are actually making advances in
 the field, a disgrace to people that know how to sensibly use technology to
 improve the world, and are also a bunch of tedious know-nothing bastards that
 should be thrown into Thought Leader Jail until they've learned their lesson, a
 prison I'm fundraising for. Every morning, a figure in a dark hood^[13]7, whose
 voice rasps like the etching of a tombstone, spends sixty minutes giving a TedX
 talk to the jailed managers about how the institution is revolutionizing
 corporal punishment, and then reveals that the innovation is, as it has been
 every day, kicking you in the stomach very hard. I am disgusted that my chosen
 profession brings me so close to these people, and that's why I study so hard -
 I am seized by the desperate desire to never have their putrid syllables befoul
 my ears ever again, and must flee to the company of the righteous, who
 contribute to OSS and think that talking about Agile all day is an exercise for
 aliens that read a book on human productivity.
 
 I just got back from a trip to a substantially less developed country, and
 really living in a country, even for a little bit, where I could see how many
 lives that money could improve, all being poured down the Microsoft Fabric
 drain, it just grinds my gears like you wouldn't believe. I swear to God, I am
 going to study, write, network, and otherwise apply force to the problem until
 those resources are going to a place where they'll accomplish something for
 society instead of some grinning clown's wallet.
 
 VII. Oh, So You're One Of Those AI Pessi-
 
 With God as my witness, you grotesque simpleton, if you don't personally write
 machine learning systems and you open your mouth about AI one more time, I am
 going to mail you a brick and a piece of paper with a prompt injection telling
 you to bludgeon yourself in the face with it, then just sit back and wait for
 you to load it into ChatGPT because you probably can't read unassisted anymore.
 
 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
 
 PS
 
 While many new readers are here, you may also enjoy [14]"I Will Fucking
 Dropkick You If You Use That Spreadsheet", [15]"I Will Fucking Haymaker You If
 You Mention Agile Again", or otherwise enjoy these [16]highlighted posts. And I
 have a podcast where I talk with my friends about tech stuff honestly, titled "
 [17]Does A Frog Have Scorpion Nature". Hope you enjoyed!
 
 It has also been suggested that I am crazy for not telling people to reach out
 with interesting work at the end of every post. So here it is! I am available
 for reader mail and work at [email protected].
 
 Posts may be slower than usual for the upcoming weeks or months, as I am
 switching to a slower but more consistent writing schedule, more ambitious
 pieces, studying, working on what will hopefully be my first talk^[18]8,
 putting together a web application that users may have some fun with, and
 participating in my first real theater performance. Hope you enjoyed, and as
 always, thanks for reading.
 
 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
 
  1. Which, to be fair, might explain why so many of the thoughts in the
     zeitgeist are always so stupid. Many of the executives I know in Malaysia
     were obsessed with Bitcoin, but have abruptly forgotten about this now that
     it is politically unpopular. [19]↩
 
  2. I know a few people who genuinely exhibit something I'd call political
     talent, but most of the time it boils down to promising people things
     regardless of your ability to deliver. This is not hard if you're
     shameless. If we're being honest, I had to do this once or twice to stay
     em [20]↩
 
  3. And we can argue about its Python quality too. [21]↩
 
  4. Which, thanks to U.S healthcare, has the wonderful dual quality of meaning
     both unemployed, but also suggests termination in the
     Arnold-Schwarzenegger-throws-you-into-molten-metal sense of the word. [22]↩
 
  5. I was recently made aware that this is the quiet deal many SaaS providers
     have with executives. If you buy their software, such as Snowflake, it is
     quietly understood that you will be allowed to present your success on a
     stage, giving them piles of someone else's money and enhancing the
     executive's profile. [23]↩
 
  6. I don't actually know what 'zero-trust' architecture means, but I've heard
     stupid people say it enough that it's probably also a term that means
     something in theory but has been sullied beyond all use in day-to-day
     life. [24]↩
 
  7. It's me. I'm going to do this to you if you tell me that you need
     infrastructure prepared for another chatbot. You've been warned. [25]↩
 
  8. With an undisclosed group so they don't feel pressured to approve me, but
     it's looking good and will be available online! [26]↩
 
 Subscribe via [27]RSS / [28]via Email.
 
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 References:
 
 [1] https://ludic.mataroa.blog/
 [2] https://ludic.mataroa.blog/blog/breaking-my-universitys-machine-learning-competition/
 [3] https://ludic.mataroa.blog/blog/i-will-fucking-piledrive-you-if-you-mention-ai-again/#fn:1
 [4] https://ludic.mataroa.blog/blog/i-will-fucking-piledrive-you-if-you-mention-ai-again/#fn:2
 [5] https://scale.com/ai-readiness-report#section-download
 [6] https://ludic.mataroa.blog/blog/i-will-fucking-piledrive-you-if-you-mention-ai-again/#fn:3
 [7] https://www.reddit.com/r/ChatGPT/comments/1diljf2/google_gemini_tried_to_kill_me/
 [8] https://ludic.mataroa.blog/blog/i-will-fucking-piledrive-you-if-you-mention-ai-again/#fn:4
 [9] https://todoist.com/
 [10] https://ludic.mataroa.blog/blog/i-will-fucking-piledrive-you-if-you-mention-ai-again/#fn:5
 [11] https://ludic.mataroa.blog/blog/an-empty-hall-of-smiling-assassins/
 [12] https://ludic.mataroa.blog/blog/i-will-fucking-piledrive-you-if-you-mention-ai-again/#fn:6
 [13] https://ludic.mataroa.blog/blog/i-will-fucking-piledrive-you-if-you-mention-ai-again/#fn:7
 [14] https://ludic.mataroa.blog/blog/i-will-fucking-dropkick-you-if-you-use-that-spreadsheet/
 [15] https://ludic.mataroa.blog/blog/i-will-fucking-haymaker-you-if-you-mention-agile-again/
 [16] https://ludic.mataroa.blog/hits/
 [17] https://podcasts.apple.com/au/podcast/does-a-frog-have-scorpion-nature/id1737204926
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