I mean, it's scary even to those of us that know what's going on. Some just choose to turn a blind eye to how dumb and destructive the current iterations and implementations of AI still are.
What precisely is dumb and destructive about the vaswani attention paper?
I have lived in northern Virginia since 2017, aka “the cloud”
We already had years and years of data center development long before the transformer paper came out, capitalism was already destroying basically everything it could with no brakes on it since 1971
Explain to me how the fuck exactly that’s an algorithms fault
When making a PB&J, I want just enough to jelly to add a little flavor to the peanut butter. Which is why my dad always called them "choke sandwiches" when I made them.
> "Become a famous pop star or sports hero." - as improbable as ever.
It's even more improbable. For both of those, your starting to see more and more of the current generation that are children/nieces/nephews of the already famous. They have the financial comfort to pursue it, and the family connections in the industries.
And for sports, the level at which you have to be competitive is getting younger and younger. So much more sports science/nutrition going in at the middle school/high school level.
Those were two fields that seemingly were still meritocratic, but that is fading fast, if it ever existed at all.
> And for sports, the level at which you have to be competitive is getting younger and younger. So much more sports science/nutrition going in at the middle school/high school level.
For endurance-based sports, online coaching has really accelerated this as well.
For skills, you still really need in-person coaching.
An app for supplementing learning in my masters program [1].
I'm currently in enrolled in the MCS Online from UIUC. My first course, Natural Language Processing, has been interesting, but it's a coursera-based course. This means the lectures are pre-recorded and mostly just the professor reading the slides. It's hard for me to stay engaged and really learn the material. So I started with a series of claude prompts that took the lecture slides and created a pre-watch summary, and then helped me drill the concepts after each lecture. I think converted those into a platform where I can upload notes/lecture slides and have it generate quizzes. It starts with recognition(multiple choice) questions, and eventually moves to recall(short answer) once you prove mastery of a topic. It also generates flashcards from failed answers. It extracts topics from the uploaded materials, and tracks mastery over time. Mastery rots if you don't touch the platform/topic for a while.
I'm not sure if I'll every productize it in any way, but I could see a world where it's used by people prepping for the bar, med boards, various continuing education stuff. Right now it's just a fun platform to build on as I explore the current wave of technologies. Building a framework for evaluating different LLMs for best price/accuracy. Adding a RAG pipeline so wrong answers can point back to source material for further review, etc.
I'm looking at moving from backend engineering to a more MLE or agent pipeline role, so this is giving me something more than school projects to build on. While also helping me do better at school.
I have it propose several approaches, pick and choose from each, and remove what I don't want done. "Use the general structure of A, but use the validation structure of D. Using a view translation layer is too much, just rely on FastAPI/SQLModel's implicit view conversion."
I had a lot of with Code Crafters. It's a paid platform, but they give you a basic walk through of different technologies, with full test suites. For example, you implement some basic Redis. It doesn't spoon feed you what to do, but breaks it down into manageable chunks.
I went to college late, so I rushed through. Which meant I didn't take the time to really engage with non-CS classes. So I'd like to go back for that. Especially the below masters, which should attract folks with similar feelings.
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