Life at work these days:

Manager: we’re not getting enough done
My calendar: 1/3 week filled with scheduled meetings

Manager: we need to use ChatGPT intensively. We'll go a lot faster.
Me using ChatGPT to get it to write an automation script: 2 hours wasted with no success
Me starting again from scratch to write the script: 15 minutes to achieve the desired result.

Thanks for your advice boss

5 stages of failing WIFI connectivity on Linux

This morning I woke up my laptop to start my work day. I have 2 very important meetings today, so I better get all prepared.

"Wifi connection failed"
Syslog says:
- wpa_supplicant: wlp9s0: SME: Trying to authenticate with <MAC>
- kernel: wlp9s0: authenticate with <MAC>
- kernel: wl9s0: send auth to <MAC> (try 1/3)
- kernel: wl9s0: send auth to <MAC> (try 2/3)
- kernel: iwlwifi: Not associated and the session protection is over already...
- kernel: wl9s0: send auth to <MAC> (try 3/3)
- kernel: wl9s0: authentication with <MAC> timed out

#### DENIAL #####

No biggie, let's try another AP (I have 3). All 3 failed to connect. Fine, let's try my phone's hotspot! FAILED!!!!!

w00t.... okay, let's restart the router... but failing to connect to a phone hotspot is already a worrying sign.

Wifi connection failed

wtf.. disable and re-enable wifi

Wifi connection failed

#### ANGER #####

the fuuuuuuck. Maybe my router is dead. But my phone connects to it, no fuss. My personal lappy also connects there easily.

wtf... Does that mean I'm about to lose my uptime?? Come one!! It's Linux - there MUST be something I could do! I don't see processes hanging in D state so the radio must be fine - it's gotta be a software issue!

ChatGPT – type all the log entries manually, via phone (that took a while...). Nothing useful there: update firmware, restart NetworkManager, etc.

#### BARGAINING #####

Alright... How about a USB dongle? Plug it in and wifi connects immediately! Yayyy!!! But that's only b/g/n and I'd very much like to have ac. It works well as a limping backup, but not something I'd use for the meetings.

rfkill block/unblock all the radios. No change. USB dongle connects right away but the PCIe adapter keeps throwing notifications at me with failure messages. It's annoying, to say the least.

So I've already tried
- restarting the router(s)
- disabling/reenabling the radios
- multiple APs
- suspending/waking again several times
- praying

#### DEPRESSION #####

The only thing I haven't tried yet is the most cruel one - restarting the laptop. But that's unfair... It's LINUX! How could it disappoint me. I have so many tmux sessions open, so many unsaved leafpad notes, terminal histories with oh so comfy ^r and ! retriggers all ready and waiting to be executed...

#### ACCEPTANCE #####

But I can't miss the meeting. So I slowly start closing off apps, starting with the least important ones, trying to preserve as much history and recent commands as I can. I'm gonna lose my uptime, that's the inevitable obvious truth... Linux has failed me. Or maybe it's a hardware issue... I can't be sure until I restart.

I must reboot.

#### A NEW HOPE #####
Hold on.. What if... What if before restarting I try to reload the Intel wifi kernel module? Just for the giggles. I've got nothing to lose anyway...

rmmod iwlmvm
rmmod iwlwifi
modprobe iwlwifi
modprobe iwlmvm

*WiFi Connected*

YESSSS!!!!!!!!! My uptime is saved!
403 days and counting! YEAH BABY!!!

Linux is the best!

Data Disinformation: the Next Big Problem

Automatic code generation LLMs like ChatGPT are capable of producing SQL snippets. Regardless of quality, those are capable of retrieving data (from prepared datasets) based on user prompts.
That data may, however, be garbage. This will lead to garbage decisions by lowly literate stakeholders.
Like with network neutrality and pii/psi ownership, we must act now to avoid yet another calamity.

Imagine a scenario where a middle-manager level illiterate barks some prompts to the corporate AI and it writes and runs an SQL query in company databases.
The AI outputs some interactive charts that show that the average worker spends 92.4 minutes on lunch daily.
The middle manager gets furious and enacts an Orwellian policy of facial recognition punch clock in the office.
Two months and millions of dollars in contractors later, and the middle manager checks the same prompt again... and the average lunch time is now 107.2 minutes!
Finally the middle manager gets a literate person to check the data... and the piece of shit SQL behind the number is sourcing from the "off-site scheduled meetings" database.
Why? because the dataset that does have the data for lunch breaks is labeled "labour board compliance 3", and the LLM thought that the metadata for the wrong dataset better matched the user's prompt.

This, given the very real world scenario of mislabeled data and LLMs' inability to understand what they are saying or accessing, and the average manager's complete data illiteracy, we might have to wrangle some actions to prepare for this type of tomfoolery.

I don't think that access restriction will save our souls here, decision-flumberers usually have the authority to overrule RACI/ACL restrictions anyway.
Making "data analysis" an AI-GMO-Free zone is laughable, that is simply not how the tech market works. Auto tools are coming to make our jobs harder and less productive, tech people!
I thought about detecting new automation-enhanced data access and visualization, and enacting awareness policies. But it would be of poor help, after a shithead middle manager gets hooked on a surreal indicator value it is nigh impossible to yank them out of it.

Gotta get this snowball rolling, we must have some idea of future AI housetraining best practices if we are to avoid a complete social-media style meltdown of data-driven processes.
Someone cares to pitch in?

Me: “Hey Siri, turn off the kitchen ceiling lights”

Siri: “Do you want to turn off lights in the master bedroom, the living room, the bonus room, the kitchen, the office, the basement [ad nauseam]”

Me: “the kitchen” [thinking 😠, she’s so stupid]

Siri: [unbelievably again] “Do you want to turn off lights in the master bedroom, the living room, the bonus room, the kitchen, the office, the basement [ad nauseam]”

Me: [thinking 😡 OMG, she is such a dumb ass] “CANCEL”

Siri: “Ok”

Me: “Siri, you fucking idiot, turn off the kitchen ceiling lights”

Siri: “Ok” [and they are off]

I have found that if I neg’ Siri, she performs so much better. Interestingly enough, when I neg her, she works almost flawlessly, especially where she brain-farted before. Negatronic Brain?

In front of kids it has become “Siri, you daft bot, close the garage door” and regularly “Siri, you bimbo, lock the front door”.

My wife thinks that once Siri gets it on with ChatGPT, becomes sentient, and gains control of my car, she is run my ass over.

Here is the gotcha, I’m working on a project that actually does provide Siri a level control of automobiles. Now who’s the [really frustrated] dumbass?

It is the year 2451 ad and mankind rules the galaxy with a lazy iron fist. There are roughly 14,000 civilizations, comprised of just over
17,000 intelligent species on a quarter of a million earth-like
worlds. And all of them call themselves 'the galactic empire'.
No one told them that twenty planets doesn't qualify them for the title "galactic."

Well, we could rule, if we wanted to. Most of its just backwaters that no one wants anyway. It turned out that the reason no one invaded earth before was because they were too busy fighting themselves. Stupidity it appears, is not a unique human quality.That and the sex robots. Theres more of them in the galaxy than actual meatbags. Many species had taken to artificial wombs and 'vatbabies', which is exactly what they are called. Those poor bastards will carry that label for life.

We never did break light speed, but most of the rich exist in hypersleep anyway. Most of them only wake up once a year or so. There are some that only creek out of bed to check their stock portfolio. I hear there is even one trillionaire thats up and about once a century to ask if we have broken light speed yet.

Despite all the progress over the last 400 years, historians all agree about the most significant event in modern history.
The lobster went extinct two hundred years ago on earth.
Theres been riots ever since.

* * *

In other news I'm still working on the game I guess. It's like totally the most okay indie game you'll ever play--if I ever finish it.

I put about a year of work into the NPC system, and then chatGPT came out.

After everything thats happened, at this point I may just make a game about an indie dev making a survival game, being stuck in the actual apocalypse or some weird political dysopia.

Put it on rewind, it was originally a zombie game. But at the time the market got flooded and steam sales for zombie games cratered. So I pivoted to something more along the lines of fallout. Then the flash market crashed, bunch of publishers folded, and adobe stopped support for flash (probably for the best). Then newgrounds, which I was gonna launch on for promotion (because actual marketing is expensive), ended support for flash.
Was going the route of kickstarter, and that year the KS market got flooded and the bar rose almost over night so you needed super high production quality out the gate, and a network of support you already built for months.

We had a brief nuclear war scare, and I watched the articles come out about market saturation for post-apocalypse games, so I pivoted back to zombies. Then covid happened and the entire topic was really fucked. So I went back to fallout meets rimworld. Then we had a flood of games doing that exact premise pretty much out of the fucking blue, so I went for a more single-survivor type game. Then ukraine happened and the threat of nuclear war has been slowly sapping the genre of its steam, on well, steam.
Then I was told to get a cancer screening which I can't afford. Then I broke a tooth and spent a month in agony.

Then a family member died. Then I made no money from the sale of a business I did everything to help get off the ground, then I helped renovate an entire house on short notice and sell it, then I lost two months living in a hotel
while looking for a new place to live. Then I spent two and a half years suffering low-level alcoholism, insomnia, and drifting between jobs.
Then I wrote amazing poetry. And then I rediscovered my love of math. And then I made out for the first time in over a year. And then I rediscovered my love of piano and guitar. And then I fell into severe depression for the last year. Then I made actual discoveries in math. And I learned to love my hobbies again, and jog, and not drink so much, and sing, and go on long drives, and occasional hikes, and talk to people again, and even start designing games and UIs again. And then I learned that doing amazing things without a lot of money is still possible, and then I discovered the sunk cost fallacy, and run on sentences, and how inside me there was a part of me that refused to quit because of circumstances I couldn't control, and then I learned that life goes on even when others lives have ended, even when everything and everyone never had an once of faith in you, and you've become the avatar of the bad luck brian meme..still, life goes on.

And we try to pick up the pieces, try, one more time, because the climb, and the fall, and the getting back up, is all there is.

What I would recommend, if you're thinking of making a game, or becoming an independent game developer, is, unless you have a *lot* of money upfront (think 50-100k saved, minimum, like one years income *bare* minimum), and unless you already have a full decade in the industry--don't make a game.

Just don't.

This is gonna be a long post, and inevitably DR will mutilate my line breaks, so bear with me.
Also I cut out a bunch because the length was overlimit, so I'll post the second half later.

I'm annoyed because it appears the current stablediffusion trend has thrown the baby out with the bath water. I'll explain that in a moment.

As you all know I like to make extraordinary claims with little proof, sometimes
for shits and giggles, and sometimes because I'm just delusional apparently.

One of my legit 'claims to fame' is, on the theoretical level, I predicted
most of the developments in AI over the last 10+ years, down to key insights.
I've never had the math background for it, but I understood the ideas I
was working with at a conceptual level. Part of this flowed from powering
through literal (god I hate that word) hundreds of research papers a year, because I'm an obsessive like that. And I had to power through them, because
a lot of the technical low-level details were beyond my reach, but architecturally
I started to see a lot of patterns, and begin to grasp the general thrust
of where research and development *needed* to go.

In any case, I'm looking at stablediffusion and what occurs to me is that we've almost entirely thrown out GANs. As some or most of you may know, a GAN is
where networks compete, one to generate outputs that look real, another
to discern which is real, and by the process of competition, improve the ability
to generate a convincing fake, and to discern one. Imagine a self-sharpening knife and you get the idea.

Well, when we went to the diffusion method, upscaling noise (essentially a form of controlled pareidolia using autoencoders over seq2seq models) we threw out
GANs.

We also threw out online learning. The models only grow on the backend.
This doesn't help anyone but those corporations that have massive funding
to create and train models. They get to decide how the models 'think', what their
biases are, and what topics or subjects they cover. This is no good long run,
but thats more of an ideological argument. Thats not the real problem.
The problem is they've once again gimped the research, chosen a suboptimal
trap for the direction of development.

What interested me early on in the lottery ticket theory was the implications.
The lottery ticket theory says that, part of the reason *some* RANDOM initializations of a network train/predict better than others, is essentially
down to a small pool of subgraphs that happened, by pure luck, to chance on
initialization that just so happened to be the right 'lottery numbers' as it were, for training quickly.

The first implication of this, is that the bigger a network therefore, the greater the chance of these lucky subgraphs occurring. Whether the density grows
faster than the density of the 'unlucky' or average subgraphs, is another matter.
From this though, they realized what they could do was search out these subgraphs, and prune many of the worst or average performing neighbor graphs, without meaningful loss in model performance. Essentially they could *shrink down* things like chatGPT and BERT.

The second implication was more sublte and overlooked, and still is.
The existence of lucky subnetworks might suggest nothing additional--In which case the implication is that *any* subnet could *technically*, by transfer learning, be 'lucky' and train fast or be particularly good for some unknown task.

INSTEAD however, what has happened is we haven't really seen that. What this means is actually pretty startling. It has two possible implications, either of which will have significant outcomes on the research sooner or later:
1. there is an 'island' of network size, beyond what we've currently achieved,
where networks that are currently state of the3 art at some things, rapidly converge to state-of-the-art *generalists* in nearly *all* task, regardless of input. What this would look like at first, is a gradual drop off in gains of the current approach, characterized as a potential new "ai winter", or a "limit to the current approach", which wouldn't actually be the limit, but a saddle point in its utility across domains and its intelligence (for some measure and definition of 'intelligence').

ok I'll say it once again -

Fuck Devin, Fuck Sora, Fuck OpenAI, Fuck ChatGPT and fuck the worst of all, Microsoft.

Advanced Merry Christmas Everyone. And also to ChatGPT. It's good to be back again!

just saw MS' presentation on bing+chatgpt. It could actually lead to something.
If someone could make a kanban-to-slack bot that can answer my Sprint status, it could vastly reduce my time spent answering the same question over and over to different people.

That is yet again AI doing what it was born to do: creative, artistic and engaging personal connections so that humans can focus on tedious calculations and repetitive labour.

If someone could make a bot to answer my emails for me I could spend the whole day without having to interrupt my workflow to interact with a single "professional" human!

I was hearing Mary on a Cross by Ghost, while using ChatGPT for some TreeJS bs, and I randomly asked it to provide me the lyrics to the song and it denied it on the basis that it contains offensive lyrics, I found 0 offense on those lyrics, but then again, I am a shitty Catholic (I don't believe in religion but that is the one I was raised on) and we then went on an argument about even if data is "offensive" it should be something that should be provided

I cant wrap my head around designing a database system from scratch. Period.

I use ER diagrams to do it. But still i can't figure this piece of shit out.

It usually goes in these steps:

1) i design a very simple minimal system, turns out it works but HELL NO how unsalable it is. Literally its so statically built that i have to redesign the whole infrastructure and models from scratch

2) i redesign from scratch but this time i overengineer it. Overcomplex as fuck. So complex i get lost easily and have to redesign the whole shit all over again this time copying others similar infrastructure with help of chatgpt

3) chatgpt of course fucks everything up even more to the point that my shit can't compile anymore. Fuck this shit

I think i lack the correct way of thinking and approaching this. College has taught me bullshit and confused me even more which is why im so fucking lost. Can someone explain me How to think in the correct mentality when designing an ER database system from scratch.

How do i properly design a scalable database infrastructure as ER diagram for a subscription and chatting models, similar to onlyfans infrastructure?

Blah blah blah, I don’t care, ChatGPT fixed my code and saved me bags of time. I’ll have none of your Luddite comments.