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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 boss8 -
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!8 -
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?14 -
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?28 -
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.17 -
ok I'll say it once again -
Fuck Devin, Fuck Sora, Fuck OpenAI, Fuck ChatGPT and fuck the worst of all, Microsoft.5 -
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').4 -
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!7 -
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 provided20
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In reply to this:
https://devrant.com/rants/260590/...
As a senior dev for over 13 years, I will break you point by point in the most realistic way, so you don't get in troubles for following internet boring paternal advices.
1) False. Being go-ahead, pro active and prone to learn is a good thing in most places.
This doesn't mean being an entitled asshole, but standing for yourself (don't get put down and used to do shit for others, or it will become the routine) and show good learning and exploration skills will definitely put you under a good light.
2)False. 2 things to check:
a) if the guy over you is an entitled asshole who thinkg you're going to steal his job and will try to sabotage you or not answer acting annoyed, or if it's a cool guy.
Choose wisely your questions and put them all togheter. Don't be that guy that fires questions in crumbles, one every 2 minutes.
Put them togheter and try to work out the obvious and what can be done through google or chatgpt by yourself. Then collect the hard ones for the experienced guy and ask them all at once. He's been put over you to help you.
3) Idiotic. NO.
Working code = good code. It's always been like this.
If you follow this idiotic advice you will annoy everyone.
The thing about renaming variables and crap it's called a standard. Most company will have a document with one if there is a need to follow it.
What remains are common programming conventions that everyone mostly follows.
Else you'll end up getting crazy at all the rules and small conventions and will start to do messy hot spaghetti code filled with syntactic sugar that no one likes, included yourself.
4)LMAO.
This mostly never happens (seniors send to juniors) in real life.
But it happens on the other side (junior code gets reviewed).
He must either be a crap programmer or stopped learning years ago(?)
5) This is absolutely true.
Programming is not a forgiving job if you're not honest.
Covering up mess in programming is mostly impossible, expecially when git and all that stuff with your name on it came out.
Be honest, admit your faults, ask if not sure.
Code is code, if it's wrong it won't work magically and sooner or later it will fire back.
6)Somewhat true, but it all depends on the deadline you're given and the complexity of the logic to be implemented.
If very complex you have to divide an conquer (usually)
7)LMAO, this one might be true for multi billionaire companies with thousand of employees.
Normal companies rarely do that because it's a waste of time. They pass knowledge by word or with concise documentation that later gets explained by seniors or TL's to the devs.
Try following this and as a junior:
1) you will have written shit docs and wasted time
2) you will come up to the devs at the deadline with half of the code done and them saying wtf who told you to do that
8) See? What an oxymoron ahahah
Look at point 3 of this guy than re-read this.
This alone should prove you that I'm right for everything else.
9) Half true.
Watch your ass. You need to understand what you're going to put yourself into.
If it's some unknown deep sea shit, with no documentations whatsoever you will end up with a sore ass and pulling your hair finding crumbles of code that make that unknown thing work.
Believe me and not him.
I have been there. To say one, I've been doing some high level project for using powerful RFID reading antennas for doing large warehouse inventory with high speed (instead of counting manually or scanning pieces, the put rfid tags inside the boxes and pass a scanner between shelves, reading all the inventory).
I had to deal with all the RFID protocol, the math behind radio waves (yes, knowing it will let you configure them more efficently and avoid conflicts), know a whole new SDK from them I've never used again (useless knowledge = time wasted and no resume worthy material for your next job) and so on.
It was a grueling, hair pulling, horrible experience that brought me nothing in return execpt the skill of accepting and embracing the pain of such experiences.
And I can go on with other stories. Horror Stories.
If it's something that is doable but it's complex, hard or just interesting, go for it. Expecially if the tech involved is something marketable.
10) Yes, and you can't stop learning, expecially now that AI will start to cover more and more of our work.4 -
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.7
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