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Search - "ml"
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Happened with anyone?joke/meme deep learning ml rants + metro = 2 station bonus :) ai artificial intelligence meme funny machine learning python3
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Ask questions during interview.
Ask about trainings - it's usually a good sign when company offers training budget. Ask about specifics - sometimes it's a shared pluralsight account, and nothing else, which means that that had an idea and half assed it into existence.
Ask tech recruiter about overtime, a good sign is when they have no idea or say that it must be budgeted and scheduled - it means that it does not happen often.
Ask if it is possible to select and change projects, and how often it happens - if often, it may be bad low level management, or people learning new things and jumping between projects.
Also make sure to ask about rules for promotions and pay rises. Good company wił have a clear set of rules in place.
All of the above apply to mid to large companies.
For small company, i'm sure it will be different.3 -
I am a machine learning engineer and my boss expects me to train an AI model that surpasses the best models out there (without training data of course) because the client wanted ‘a fully automated AI solution’.13
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> Open private browsing on Firefox on my Debian laptop
> Find ML Google course and decided to start learning in advance (AI and ML are topics for next semester)
**Phone notifications: YouTube suggests Machine Learning recipes #1 from Google**
> Not even logged in on laptop
> Not even chrome
> Not even history enabled
> Not fucking even windows
😒😒😒
The lack of privacy is fucking infuriating!
....
> Added video to watched latter
I now hate myself for bitting22 -
Got laid off last week with the rest of the dev team, except one full stack Laravel dev. Investors money drying up, and the clowns can't figure out how to sell what we have.
I was all of devops and cloud infra. Had a nice k8s cluster, all terraform and gitops. The only dev left is being asked to migrate all of it to Laravel forge. 7 ML microservices, monolith web app, hashicorp vault, perfect, mlflow, kubecost, rancher, some other random services.
The genius asked the dev to move everything to a single aws account and deploy publicly with Laravel forge... While adding more features. The VP of engineering just finished his 3 year plan for the 5 months of runway they have left.
I already have another job offer for 50k more a year. I'm out of here!13 -
I can't figure out shit..
To be honest I created this profile just so I can write down somewhere what I am going through.
So, once upon a time I had graduated from college and went right into a corporate (has only been 2 years since). I was fortunate enough that I got assigned a project that was just starting, and even though I had no clue what was going on, I started doing whatever was assigned.
I initially worked in java and then finished all my tasks earlier than expected, so they switched me to another C++ project that builds on top of it.
Fast forward 2.5 years, I'm now the team lead of the CPP project and all my friends who were in the core team have left the company.
As usual, the reason behind it is shitty management. These mfs won't hire competent people and WILL ABSOLUTELY NOT retain the ones that are. I can feel it in my bones that it is time for me to leave, but fuck me if I understand what I am good at.
I have been able to handle all the tasks that they threw at me, be it java or c++ - just because I love logic and algorithms. I have been dabbling in ML and AI since 4-5 years now, but could never go into it full time.
Now I'm looking at the job postings and Jesus Christ these bitches do not understand what they want. I have to be expert in 34567389 technologies, mastering each of whom (by mastering I mean become proficient in) would need at least 6-8 months if not more, all with 82146867+ years of experience in them.
I don't know if I am supposed to learn on Java (so spring boot and stuff) or I'm supposed to do c++ or I'm gonna go with Python or should I learn web dev or database management or what.
I like all of these things, and would likely enjoy working in each of these, but for fucks sake my cv doesn't show this and most of the bitch ass recruiter portals keep putting my cv in the bin.
Yeah...
If you have read so far, here's a picture of a cat and a dog.5 -
Dude, publish your damn dataset with your damn ML study!!!! I'm not even asking for your Godforsaken model!
😡😡🗡️🗡️⚔️🔫🔫🏹🔨4 -
I am soooooooooo fucking stupid!
I was using an np.empty instead of np.zeros to shape the Y tensor...
🤦🏻♀️🤦🏻♀️🤦🏻♀️🤦🏻♀️🤦🏻♀️🤦🏻♀️🤦🏻♀️🤦🏻♀️🤦🏻♀️🤦🏻♀️🤦🏻♀️🤦🏻♀️🤦🏻♀️🤦🏻♀️🤦🏻♀️🤦🏻♀️🤦🏻♀️🤦🏻♀️🤦🏻♀️🤦🏻♀️🤦🏻♀️🤦🏻♀️🤦🏻♀️🤦🏻♀️🤦🏻♀️🤦🏻♀️🤦🏻♀️🤦🏻♀️🤦🏻♀️🤦🏻♀️🤦🏻♀️🤦🏻♀️🤦🏻♀️🤦🏻♀️🤦🏻♀️🤦🏻♀️🤦🏻♀️🤦🏻♀️🤦🏻♀️🤦🏻♀️🤦🏻♀️🤦🏻♀️🤦🏻♀️🤦🏻♀️🤦🏻♀️🤦🏻♀️🤦🏻♀️🤦🏻♀️🤦🏻♀️🤦🏻♀️🤦🏻♀️🤦🏻♀️🤦🏻♀️🤦🏻♀️🤦🏻♀️🤦🏻♀️🤦🏻♀️🤦🏻♀️🤦🏻♀️🤦🏻♀️🤦🏻♀️🤦🏻♀️🤦🏻♀️🤦🏻♀️🤦🏻♀️🤦🏻♀️🤦🏻♀️🤦🏻♀️🤦🏻♀️🤦🏻♀️🤦🏻♀️🤦🏻♀️🤦🏻♀️🤦🏻♀️🤦🏻♀️🤦🏻♀️🤦🏻♀️🤦🏻♀️🤦🏻♀️🤦🏻♀️🤦🏻♀️🤦🏻♀️🤦🏻♀️🤦🏻♀️🤦🏻♀️🤦🏻♀️🤦🏻♀️🤦🏻♀️🤦🏻♀️🤦🏻♀️🤦🏻♀️🤦🏻♀️🤦🏻♀️🤦🏻♀️🤦🏻♀️🤦🏻♀️🤦🏻♀️🤦🏻♀️🤦🏻♀️
No fucking wonder the poor thing was keep failing to detect a pattern.
Let's see if it works now... *play elevator music while we wait for keras*6 -
I just told my director that the solution for a particular problem that we have involves Machine Learning. For which I had already applied a VERY small app to make sense of an old database to make a NEW one since the old one broke every notion of how a db is supposed to be set (meaning that I recreated the project from scratch)
And on the same message I told him that I was not willing to do it using M.L since I was not paid enough to bring this level of heat to the institution.
Normalize telling mfkers that your skills are worth more.
I am paid well, but not enough to out of the blue tell mfkers that my ml based algo can save them./
Fuck em, fuck em hard, fuck em good, fuck em without even using spit.
I don't do this shit because I am paSSiOnate, since there lies the trap: "I mean, I love it so I guess I can do it, I do this on my free time either way" <---- no bitch, shit is expensive on the real world, don't do that wtf is the matter with you? *slaps* companies don't see it as a: "oh shit, employee X can do this! value!" they see it as "greaaaaat, I can save money on this", so fuck em.
Normalize it, y'all are wizards, advisors of kings, no company today survives without I.T. About motherfucking time y'all bitches take this shit by the horns and do with it what you want.
People form third world countries that need work: shit don't apply to you, currently, but we will make it apply to you on the rising, my kings, stay strong.4 -
I sometimes feel like some people's comments on devrant are enough for a mental health crisis diagnosis. I wonder, how can we diagnose people through text? And can, let's say, ML do any better.
I mean; let's say for example abusive behaviors. This may be an online community but that doesn't stop some from abusing others, right? But the only form of communication here is text, right? What if you could diagnose... Not even that. What if you could inform a mental health expert about a toxic behavior online? We do have a lot of "internet policing" but we have no "internet mental health help" for toxic behaviors and attempts to mitigate that. I don't mean banning people. I mean literally in simplest form tag a psychotherapist in the convo.
Just thinking. :)14 -
Model without conv2:
"I'm gonna be poor and miserable and barely give you .96 acc after much training."
Model with conv2:
"Ahoi! Look at me score .95 in the first epoch!"
😤12 -
To be honest, I'm not as excited as I was 6-7 years ago when our tech industry seen a big leap, where these ML/Deep Learning algorithms were out performing humans, Apache Spark out perfomed Hadoop in distributed computing, Docker/Kubernetes are the new phenomenon in software development and delivery, Microservices architecture, ReactJS virtual DOM concepts were so cool.
Really though, I've come realise that these software trends come and go. All you need to do is adapt and go with the flow.3 -
Started a new job last week. Pays a tad below average for position, but i get training time and budget for anything i want.
So far i have had few days of company introduction, and now a week for training courses related to position.
I have not seen any code yet, brought no value in, just joined.
Massive green flag to me. -
I have been working on this software for 3 years now. The code base was a working prototype made by my boss before I came, not more, not less. Php + Angular. Have been refactoring a lot, backend is backed with hundreds of tests now, frontend still lacks a lot. Still a lot of programm structures are still the same weird ones my boss once created in a rush between two meetings while learning Angular to get the prototype finished. Now it's used in production which makes hard to refactor, because we have to maintain backwards compatibility. Neither the parts I added or refactored completely are satisfying, because they are built on this structures, because i never got any feedback for anything I decided and because I changed my own paradigms over time.
So I am all alone on this project. All genuinly new projects are assigned to the new team members (i was the first one, no we are five plus my boss) because I wont have time, have to maintain the old one. So I never can do something new which is quite frustrating.
I did a little side tool, the only thing I invented and did completely by myself in our repertoire - and now some stakeholder shows big interest onto this. Instead of giving me the task to make a real project from this my boss wants to give it to them to develop it. Why? Because I need more time for the main application.
Also the more the software is used the more bug tickets and feature requests come. I was crying for help for months but the others had appareantly more important stuff to do.
This might be true to some extend. Yesterday we had some kind of crisis meeting and my boss wanted again to assing pur junior to help me, who has a shit load of other things to do and is a student. I insisted that this would not be enough, and one of the fulltime devs has to get involved because the thing is our core application and I am only part time btw. So my boss said we wont decide today but one of them should do it. They should have some time to figure out who which is understandable but it's not that I didn't keep saying this for months. Now they are all like whimp whimp when I have to do php i will quit. The new projects are all typescript, with node backend if any. But alas, one of them even said yesterday he doesn't want to do js anymore. Okay... but... this is our tech stack then get another job allready?
And I should do the same probably. But then again I feel very sorry for my boss who helped me in very dark times of corona and more. If both of us leave, the project he worked on for decade (including convincing poeole, collect money..) might be suddenly at it's end while he is so exited about it's access today...
I also get insecure if it's really that they hate php so much or that they don't want to work with me personally because maybe I am a bad team Player or what?
I experienced the same at my old workplace, got left alone with big parts of the project because they didn't want to do php and js in this case and it ended up five devs doing the python backend and me doing the frontend and the php cms part all alone. Then I quit and now everything seems to happen again.
And then again I think I am only fucked up so hard by this stuff because I do not really like being a developer at all. I only do it for the money and because I am good at it (at least i think so. Nobody ever bothers to ever to read my code and give me feedback, because you know, php and js). So I guess I would hate any other job in the field maybe likewise?
This job *is* convinient, salary, office
position, flexibility could not be better. At the end of the day it's not that stressfull. And i don't have any second of freetime (due to family) or energy i could offer a new and more demanding employer, can't work over time or even take a fulltime position, can't home office, can't earn less, can't travel very long to the office and especially can't go back to school to learn something completely new. Some of these constraints are softwe then other naturally but still my posibilities at the Moment are very limited. That might change in about five years if the family situation changed. So it would most likely be reasonable to stay until then at my current job? And bear being alone with this app, don't getting involved on any new project, don't learn anything new, don't invent anything.
There was one potential way out, they considered offering me PHD position to the upcoming ml part of the project... But I learned that I would attend to a bunch of classes at university first, which i would like to, but I don't think i have the time.
I feel trapped somehow. I also feel very lonely in the Office because those fucktards keep saying in home office.
Man, I don't want to go to work today.6 -
Next level reinforcement learning:
Grab a baseball bat and show that damn machine who's the boss, i.e. reinforce that message by highfiving the said machine in the face with the aforementioned bat.3 -
I'm writing a ML course that explains concepts by going through/getting the reader to write simple implementations of concepts. I've written a decision tree in 250 lines of code (including plotting it), that is 100 times faster than another (hilariously bad) attempt at a simple decision tree, and it's far more readable than anything else I've seen.
I'm having a good day.9 -
Annoying thing when your accuracy is going up but your val_acc is sticking around 0.0000000000{many zeros later}01
😒 Somebody shoot this bitch!7 -
Currently listening to my housemate, a tech journalist, talk to a PR person for an ML company, about how great their product is.
I want to vomit.1 -
Everything is working, including the damn ml model. But I assume, considering the amount of restlessness and anxiety I'm feeling, that I will look like a scared hamster or trash panda while presenting it.
(Presenting to internal staff. But still)7 -
"AI" Terminator style fear mongering is stupid as fuck, especially when its based on a well trained ML model that call itself sentient.
By that logic i would be god by calling myself a god.
No doube that ML can cause a lot of problems etc and should be supervised, but its entirely diffrent problems, than how stupid the medias talks about ML as "AI".12 -
If you're an ml engineer, you must know how to hyperopt. I could recommend keras tuner tho, it's nice and saves shit on the go.
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There are a couple:
A system that updates user accounts to connect them into our wifi system by parsing thousands of processing files written in Clojure. The project was short lived and mainly experimental, It has complete test cases and the jar generated from it is still purring silently on the main application. It was used to replace an $85k vendor application that made no fucking sense. The code has not been touched in 2 years and the jar is still there. The dba mentioned the solution to the vendor, the vendor tried buying it from me, but being that it belongs to the institution nothing was touched, still, it got the VP's attention that I can make programs that would be bought for that level, it caught his attention even more when I showed him the codebase and he recognized a Lisp variant (he is old, and was back in the day a Fortran and Cobol developer)
A small Python categorical ML program that determines certain attributes of user generated data and effectively places them on the proper categories on the main DB. The program generates estimates of the users and the predictions have a 95% correctness rate. The DBA still needs to double check the generated results before doing the db updates. I don't remember how I coded it because I was mostly drunk when I experiment on the scenario. It also got the attention of the VP and director since the web tech manager was apparently doing crazy ML shit that they were not expecting me to do, it made them paranoid that I would eventually leave for a ML role somewhere, still here, but I want more moneys!!
A program that generates PDF documentation from user data, written in Go, Python and Perl (yes Perl) I even got shit from the lead developer since I used languages outside of their current scope of work. Dude had no option but to follow along with it :P since I am his boss
Many more. I am normally proud of my work code. But my biggest moment is my current ntural language processing unit that I am trying to code for my home, but I don't have enough power to build it with my computers, currently, my AI is too stupid, but sometimes it does reply back to my commands and does the things I ask it to do (simple things, opening a browser, search for a song etc) but 7 times out of ten it wont work :P -
Not leaning on unit tests. I usually write them after testing my code manually, and lose time for testing feature by hand.1
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Company i work for just posted updated pay rates.
It's good. They went from lower end of spectrum to a little above the average in terms of pay, and benefits stay the same - solid. -
In 2015 I sent an email to Google labs describing how pareidolia could be implemented algorithmically.
The basis is that a noise function put through a discriminator, could be used to train a generative function.
And now we have transformers.
I also told them if they looked back at the research they would very likely discover that dendrites were analog hubs, not just individual switches. Thats turned out to be true to.
I wrote to them in an email as far back as 2009 that attention was an under-researched topic. In 2017 someone finally got around to writing "attention is all you need."
I wrote that there were very likely basic correlates in the human brain for things like numbers, and simple concepts like color, shape, and basic relationships, that the brain used to bootstrap learning. We found out years later based on research, that this is the case.
I wrote almost a decade ago that personality systems were a means that genes could use to value-seek for efficient behaviors in unknowable environments, a form of adaption. We later found out that is probably true as well.
I came up with the "winning lottery ticket" hypothesis back in 2011, for why certain subgraphs of networks seemed to naturally learn faster than others. I didn't call it that though, it was just a question that arose because of all the "architecture thrashing" I saw in the research, why there were apparent large or marginal gains in slightly different architectures, when we had an explosion of different approaches. It seemed to me the most important difference between countless architectures, was initialization.
This thinking flowed naturally from some ideas about network sparsity (namely that it made no sense that networks should be fully connected, and we could probably train networks by intentionally dropping connections).
All the way back in 2007 I thought this was comparable to masking inputs in training, or a bottleneck architecture, though I didn't think to put an encoder and decoder back to back.
Nevertheless it goes to show, if you follow research real closely, how much low hanging fruit is actually out there to be discovered and worked on.
And to this day, google never fucking once got back to me.
I wonder if anyone ever actually read those emails...
Wait till they figure out "attention is all you need" isn't actually all you need.
p.s. something I read recently got me thinking. Decoders can also be viewed as resolving a manifold closer to an ideal form for some joint distribution. Think of it like your data as points on a balloon (the output of the bottleneck), and decoding as the process of expanding the balloon. In absolute terms, as the balloon expands, your points grow apart, but as long as the datapoints are not uniformly distributed, then *some* points will grow closer together *relatively* even as the surface expands and pushes points apart in the absolute.
In other words, for some symmetry, the encoder and bottleneck introduces an isotropy, and this step also happens to tease out anisotropy, information that was missed or produced by the encoder, which is distortions introduced by the architecture/approach, features of the data that got passed on through the bottleneck, or essentially hidden features.4 -
Saturday evening open debate thread to discuss AI.
What would you say the qualitative difference is between
1. An ML model of a full simulation of a human mind taken as a snapshot in time (supposing we could sufficiently simulate a human brain)
2. A human mind where each component (neurons, glial cells, dendrites, etc) are replaced with artificial components that exactly functionally match their organic components.
Number 1 was never strictly human.
Number 2 eventually stops being human physically.
Is number 1 a copy? Suppose the creation of number 1 required the destruction of the original (perhaps to slice up and scan in the data for simulation)? Is this functionally equivalent to number 2?
Maybe number 2 dies so slowly, with the replacement of each individual cell, that the sub networks designed to notice such a change, or feel anxiety over death, simply arent activated.
In the same fashion is a container designed to hold a specific object, the same container, if bit by bit, the container is replaced (the brain), while the contents (the mind) remain essentially unchanged?
This topic came up while debating Google's attempt to covertly advertise its new AI. Oops I mean, the engineering who 'discovered Google's ai may be sentient. Hype!'
Its sentience, however limited by its knowledge of the world through training data, may sit somewhere at the intersection of its latent space (its model data) and any particular instantiation of the model. Meaning, hypothetically, if theres even a bit of truth to this, the model "dies" after every prompt, retaining no state inbetween.16 -
The first fruits of almost five years of labor:
7.8% of semiprimes give the magnitude of their lowest prime factor via the following equation:
((p/(((((p/(10**(Mag(p)-1))).sqrt())-x) + x)*w))/10)
I've also learned, given exponents of some variables, to relate other variables to them on a curve to better sense make of the larger algebraic structure. This has mostly been stumbling in the dark but after a while it has become easier to translate these into methods that allow plugging in one known variable to derive an unknown in a series of products.
For example I have a series of variables d4a, d4u, d4z, d4omega, etc, and these are translateable now, through insights that become various methods, into other types of (non-d4) series. What these variables actually represent is less relevant, only that it is possible to translate between them.
I've been doing some initial learning about neural nets (implementation, rather than theoretics as I normally read about). I'm thinking what I might do is build a GPT style sequence generator, and train it on the 'unknowns' from semiprime products with known factors.
The whole point of the project is that a bunch of internal variables can easily be derived, (d4a, c/d4, u*v) from a product, its root, and its mantissa, that relate to *unknown* variables--unknown variables such as u, v, c, and d4, that if known directly give a constant time answer to the factors of the original product.
I think theres sufficient data at this point to train such a machine, I just don't think I'm up to it yet because I'm lacking in the calculus department.
2000+ variables that are derivable from a product, without knowing its factors, which are themselves products of unknown variables derived from the internal algebraic relations of a product--this ought to be enough of an attack surface to do something with.
I'm willing to collaborate with someone familiar with recurrent neural nets and get them up to speed through telegram/element/discord if they're willing to do the setup and training for a neural net of this sort, one that can tease out hidden relationships and map known variables to the unknown set for a given product.16 -
I would have never considered it but several people thought: why not train our diffusion models on mappings between latent spaces themselves instead of on say, raw data like pixels?
It's a palm-to-face moment because of how obvious it is in hindsight.
Details in the following link (or just google 'latent diffusion models')
https://huggingface.co/docs/... -
I get it — it’s not fashionable to be part of the overly enthusiastic, hype-drunk crowd of deep learning evangelists, who think import keras is the leap for every hurdle.
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- Remake all my hacky products and finally make those adjustments and improvements I always forget about. (A shitton of maintenance that I always YOLO my way through)
- Potentially finally give digital drawing and design a go as a second career (if money permits, also)
- Move to middle of Asia, dead center of Kazakhstan or wherever there are gypsy tribes, learn their language and teach their kids about computers and robots and make a lot of products that'd make a gypsy's life easier. Or rather, create a modern gypsy life that does not override their traditional ways, rather integrates with it. (This is one of my dreams, which I know will never come true. Gypsies and nomads do settle more and more each year and their culture is basically going extinct. Plus, govts around the world dislike them greatly)
- Do a lot more research projects in robotics. Literally make everyday robotic items and then sell them. (with a sprinkle of AI/ML, that is)
All the above would also need lots of money and effort tho.1 -
Deep learning is probably (????) the only research branch where every successful paper title needs to be a stupid acronym or meme
I work in a conversational AI startup and the new intern that joined yesterday didn't understand half the memes or acronyms (especially all the Simpsons related) because apparently he's "Gen Z" and all the paper title is "Millennial" humour
He's only 2 years younger than me. Am I literally at the millennial - GenZ border ? Or the intern is out of touch ?7 -
I’ve been looking for a job recently since I am a student and starting my career.
I have a bunch of experience and I like to think I have pretty broad knowledge of programming concepts (web dev, ML, AI, software development).
I see these job postings for jobs that I know I am qualified for.
- I got my research published (which is related to the jobs I’ve been applying for)
- I have great grades
- I have a clear track record of doing well in teams (life long athlete)
- I am a complete geek for new tech and libraries so I always learn them super fast
- I have side projects that aren’t just shit I’ve done in school
- my past jobs show that I am an efficient worker who has real experience
However, I always fucking fail the coding challenges.
I’m never asked questions like “how to reverse a linked list”, just obscure questions that I don’t know how to study for.
What the fuck am I supposed to do? It’s not even like I get close to the answers. I usually get a couple test cases and then fail the rest of them, or I can’t figure out a solution to solve them.
This is all really disheartening and I fucking hate it I absolutely fucking hate it and when I am trying to hire people in the future, I’m never going to make them do coding challenges bc they’re fucking stupid4 -
Anyone tried converting speech waveforms to some type of image and then using those as training data for a stable diffusion model?
Hypothetically it should generate "ultrarealistic" waveforms for phonemes, for any given style of voice. The training labels are naturally the words or phonemes themselves, in text format (well, embedding vectors fwiw)
After that it's a matter of testing text-to-image, which should generate the relevant phonemes as images of waveforms (or your given visual representation, however you choose to pack it)
I would have tried this myself but I only have 3gb vram.
Even rudimentary voice generation that produces recognizable words from text input, would be interesting to see implemented and maybe a first for SD.
In other news:
Implementing SQL for an identity explorer. Basically the system generates sets of values for given known identities, and stores the formulas as strings, along with the values.
For any given value test set we can then cross reference to look up equivalent identities. And then we can test if these same identities hold for other test sets of actual variable values. If not, the identity string cam be removed, or gophered elsewhere in the database for further exploration and experimentation.
I'm hoping by doing this, I can somewhat automate the process of finding identities, instead of relying on logs and using the OS built-in text search for test value (which I can then look up in the files that show up, and cross reference the logged equations that produced those values), which I use to find new identities.
I was even considering processing the logs of equations and identities as some form of training data perhaps for a ML system that generates plausible new identities but that's a little outside my reach I think.
Finally, now that I know the new modular function converts semiprimes into numbers with larger factor trees, I'm thinking of writing a visual browser that maps the connections from factor tree to factor tree, making them expandable and collapsible, andallowong adjusting the formula and regenerating trees on the fly.7 -
i come from a very closely knit family and i kinda like it. i am in close proximity to my parents, they are growing old so i do a lot of home chores. meanwhile a lot relatives and dad's business friends live nearby , and the whole area around my home feels like a place of known people. my free time goes with 5-6 friends , who again live nearby, or with gym buddies. this is a nice life, which could further expand with a wife and my kids in future .
at the same time, i have seen the "work" life. my office is in a different state, 90% of people there are people like me who would be renting a home nearby and living alone/with strangers. their main "family"(well pseudo-family) will be their coworkers, and that's also not a bad thing.
in the workplace the reasons to be happy will be a lot (as parties or celebrations will occur on multiple birthdays/ company growths and other achievements) , and so will be the reasons to feel sad ( company failure, teammates leaving, missing family)
at the end of the day , when you are living an office life, you are a corporate rat running for the cheese you are never gonna (or , if you are a glass half full person, let's say that you are a "dedicated work professional giving your 100% to the company")
but here comes the dilemma : with AIs like chat gpt coming around and redefining nthe expectations from a software engineer, you will no longer be expected to be resourceful but rather how much of a corporate rat you can be. ( https://twitter.com/bajicdusko/...)
so 1) is it the only way forward for an upcoming engineer's lifestyle? to be like a soldier for their company , while their family and friends await for their long return? 2) if yes, what is the positi8 aspsct we can take away from this?
PS : what a stupid profession those AI/ML guys work in. they put out their minds together to make a sword which is gonna cut the heads of s/w engineers, their own breed. not lawyers, not doctors, not even the fucking peons, but their own freaking brothers5 -
!Dev
If I was rich I think I'd donate to schools and children educational funds a lot
There's so much more that I've been able to learn about and do now that I have my own income stream and it's not just my dad supporting me and my 2 brothers himself. so I have the means to buy a server off eBay, or get books every few months on topics I find interesting, or upgrade my ram to an obscene 48GB to toy with ML and AI from my desktop when the whim arises, as well as all the stuff I'm learning to do with raspberry pi boards and my 3D printers, and the laptops I collect from people about to toss good fixable electronics
So I think I'd want to open the same doors for other children if I ever could who knows how much farther I could be if I had this same access when I was younger and didn't get access to my first 'personal' laptop when I was already 14 or 15 years old
I still consider my childhood 'lucky' and I had many opportunities other children couldn't get, but if I ever could I think I'd like to make future children have more opportunities in general1 -
People started to use ChatGPT to discover a new vulnerabilities (0day), I saw someone use it to help them break a smart contract, I mean if you already found a 0day you might ask it to write the exploit rather write it yourself 😬7
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Here's one for the data scientists and ML Engineers.
Someone set a literal date feature (not month, not season, but date) as a categorical feature... as a string type 🥺
I don't trust this model will perform for long2 -
I spent ~12h working on a simple issue/bug.
7h was spent on rebuilding local dev environment which is a clusterfuck of maven profiles, tomcat, some autogenerated degeneracy, and 2 different build systems for JS.
5h spent on actual bug fixing, code reviews and so on.
FML2 -
devRanters!
Do any of you find that you can type the solution faster than GitHub Copilot recommends?
That's how you know you're senior 😏
Also, on a serious note, does it only support JavaScript / TypeScript? Didn't really take time to investigate.
I thought there was also a feature you could tell it what to code and it would try to write a solution. Haven't really seen how to do that yet.7 -
!dev
Personal rant, but as one shouldn't bottle up emotions, probably not so bad idea....
Started with diet and exercise in the vacation, as finally a certain thing starting with C calmed down...
Its maddening how fucked up the world is. Now as a lil private info (that might not be so unknown, shared multiple times here) - my body is a train wreck.
Lungs are fucked, muscle distrophy, some other things are fucked.
I'm the kind of thing every gym trainer dreads - the client that needs not only a lot of ass whooping, but also has a lot of problems that need to be taken care of.
Which is why I rather do exercise at home, cause... My experiences with humans in gyms are bad. Most trainers behave like fucking chimpanzees screaming commands while not listening what one tells them...
First challenge: Find a low impact cardio training.
What one mostly finds is a female chick (which is sad cause I like men more for obvious reasons), that should gain some weight, screaming at ya how great sport is while jumping around like a bunny on ecstasy.
Low impact isn't really low impact when you jump around, lil bunny... And it isn't low impact when you just let yourself fall to the floor and start doing push ups.
If an obese person like me did that, it would end in pain, frustration and an empty fridge TM.
So one has to painfully look and skip through 20 min vids of "Non low impact low impact YouTube / ... vids" to find one that is doable without wrecking the body even further... Yaaaay. That makes one totally not feel depressed :-)
The other thing that I always hate is dieting. Note that I don't have to change much - I'm basically on a diet since years, holding weight the whole time.
The jolly fun is that I can't take off with just an diet. If you never heard that such thing is possible, a lil advice: It is possible. Nothing hurts more than being told that eating less solves all problems magically - cause it doesn't.
What I usually need is added protein, as I suffer from muscle dystrophy in my left side. (hence the low impact vids).
If you go to a grocery store, you most likely find *tons* of protein stuff.
The fun thing is that roughly 80 % of that are - like all things in a supermarket - completely bullshit.
I know one could avoid using protein powder / ... - but that makes dieting a very very very hard task, as one has to not only do a lot of planning, but cooking and eating becomes a depression palooza... It just doesn't make fun when you have to scale components for every meal or force yourself to eat e.g. 250 g of low fat curd cheese to gain the necessary proteins.
Why is supermarket stuff so shitty....
Added sugar / saccharides . When one has been dieting for long for health reasons, one finds out pretty quick that most products (especially those labeled as healthy / fat reduced / "weight loss") are perfectly made to lead to a sugar crisis and binge eating.
I've found protein drinks containing up to 25 g of sugar per drink (330 ml).
A coke has 27 g of sugar per 250 ml...
:) Now isn't that jolly...
I've found my stuff of joy not so long ago (not advertising here, but depending on flavor it has only up to 3 g (!)) of sugar per drink)...
It just annoys me and pisses me off how much money is made - in my opinion deliberately - on the suffering of other people...
Most laws by the way end up being blocked by lobbyists - most nutrient scores etc are just "wrong" or better to unspecific... Making exploitation pretty easy.
It's funny how everyone has an opinion on obese people, everybody is pointing fingers and explaining how stupidly easy it is to take off... And at the same time no one gives a damn about shit like that.
That's all folks. Feeling better now.
By the way, I'm doing fine. I lost 7 kg already, though the train wreck of body was pretty pissed the last two weeks as everything hurts.
Another reason why motivational speeches are dumb in videos: Pain isn't fun. :)1 -
Anybody know of any web based image labeling software that works on mobile? Preferably open source :)8
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I am not tired enough to sleep but I am not awake enough to fully concentrate.
It has been going on for 3-4 days. Am I burn out?2 -
https://milkyeggs.com/?p=303
"I claim that the trend which AI/ML continues for lawyers is one that it starts for programmers. Just like how a partner at Cravath likely sketches an outline of how they want to approach a particular case and swarms of largely replaceable lawyers fill in the details, we are perhaps converging to a future where a FAANG L7 can just sketch out architectural details and the programmer equivalent of paralegals will simply query the latest LLM and clean up the output. Note that querying LLMs and making the outputted code conform to specifications is probably a lot easier than writing the code yourself ー and other LLMs can also help you fix up the code and integrate the different modules together!"1 -
i am having a feeling that getting into software branch of it industry might be a wrong decision. in my college years, i got to explore different domains in tech :
1. software development : frontend tech , backed tech, mobile tech : somethings i and a million other people know
2. os and internal softwares : os, compilers, processor coding , chip manufacturing etc : don't know what this industry is known but we devs rarely go that deep in the hole
3. the network industry : computer networks , topologies, packets, data transfers etc. again not sure what this industry is but 4g/5g brands/ cisco seems to making a lot of money with this
4. cloud computing, devops, data etc : i guess some backend devs explore this domain too.
5. ai/ml data sciences/web3 : the new fad
6. biotech :?? don't know anything about this at all
7. graphics/management/qa : the other associated sisters of software dev. they are seeing a similar recession
8... ans so on.
i chose the 1st one in my undergrad as my career and now regretting this i am thinking of doing masters to fix my mistake and take a job in some other industry that is still blooming and has a future for sustaining a recession for atleast 30 years.
so any suggestions/experiences?9 -
Why do clients expect that they would get a high quality machine learning model without a properly cleaned dataset? I usually get the response, ‘just scrape data and train it. It shouldn’t take long’3
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Anyone know of any python libraries that do real-time hand landmark detection? I know I could use mediapipe but it cannot run on a 64bit raspberry pi.
I can’t find anything online and I really don’t want to create my own model4 -
Every time when someone tells me they are an expert of ML. I chuckled. I don't know the ML stands for Machine Learning or "MY LEGGGGG' from SpongeBob.
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Oh mannnnnn
We had a meeting with a data analyst today who is going to build an ML system for us.
...but at the start of the meeting, he didn't even know what our existing product even looks like!!!
...
Good one management!
Do I literally have to do EVERYTHING? It should be YOUR job to make sure every member has the essentials to participate in the meeting; YOU'RE the manager, NOT me!!!!
Oh also, let's not forget I got the meeting appointment HALF AN HOUR before it started...
#justmanagementthings
🤡🤡🤡🤡🤡🤡🤡🤡🤡🤡 -
Have anyone used machine learning in real world use cases? (would be nice if you can describe the case in a few words)
I'm reading about the topic and do some testing stuff but at the moment my feeling is that ml is like blockchain. It solves a specific type of problem and for some reason everyone wants to have this problem.7 -
Has anyone seen an AI/ML/whatever in the wild? I mean, an _actual_ implementation in production that is actually used.
And Powerpoint slide does not count (unless it of course were created by AI/ML/whatever).
I hear a lot of big words from management but I can’t see anything anywhere.9 -
Get to know the new company better (Changed job shortly before Christmas).
Learn some DPs, DDD, k8s, finish introduction to hacking course, start doing htb and thm machines, finish and defend my thesis, finish books clean code, thinking in java (reading it to fill in gaps on knowledge), a few books about pentesting.
Among non tech goals: pass drivers license exam for cars, another one for motorcycles, go back to learning russian. -
Got pissed that my story delayed the whole project by 3 weeks (major story, lots of changes, and management decided to put me in a few extra activities outside of the project).
Stayed up until like 23:00 to deliver PR.1 -
Ros melodic in a strictly python 2.7 environment mixes horribly with a PyTorch based RL module... Time to work around with terminal calls from the latter
*sigh*1 -
Did anyone else get an unwanted software alert for WakaTime IDE extension?
PUA:Win32/Caypnamer.A!ml
in %UserProfile%\.wakatime\wakatime-cli-windows-amd64.exe
🤔💭2 -
I just wanted to share it with my fellow devs,
I'm peacefully retiring from COMPETITIVE CODING. After two years of rigorous effort on CP, I don't think I improved a lot, although I learned some new DS and Algos. My bad that I assumed CP holds more importance than just being a sport.
It feels to me that I kinda wasted my two years, I could've spent it on some development or ML.
Now, I've started to realize that I can't think faster as other coders do. I tried a lot, but it's all dumped now. Maybe I'm not made for CP or maybe I simply suck at it.
Any sorta advice will be highly appreciated...3 -
Update of previous post
I just got assigned to a project.
Project-specific training is designed to take up to 20 days.
I got materials, videos, and a person who is in this project for a long time to supervise training and introduce me to the project.
Only problem is that the project apparently uses 5 years old version of base framework. -
Working a week on LSTM based text classifier, getting 89% accuracy only to then get better result with Logistic Regression which was supposed to serve as baseline, lol. Background: 180+ classes of google product categorization taxonomy, 20 million rows of data items (short texts). Had a similar experience once on sentiment classification, where SVMlight outperformed NN models.
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ML and NLP people I need some help bc I’m stupid
I want to build a model that is trained on a set of images and captions for those specific image.
The images are of a single person in different positions and different environments.
How do I train something like this? Do I use an object recognition model to understand what’s in the image as it’s features?1 -
Hey, what is the best way to add speech recognition on web? Did web developers have python developer like AI/ML technology.3