ahh what a sweet breath of fresh air.

I needed this. thanks.

it was designed as ragebait. but it failed even at that.

you know, I’m not sure you can have an uncountably infinite number of people. so whatever that abomination is I’ll send the trolley down its way. it’s probably an SCP.

exactly everything I need and nothing more. doesn’t need X. reasonably lightweight. no fiddly configuration needed. nice support for tiling alongside floating.

also, very buggy (at least as of alpha.7), somewhat fickle (at least on my hardware), and I can’t remap keyboard shortcuts.

the SG teams embody American ideals, while the NID embodies American history. specifically, the NID acts like '60s CIA.

it pleases me that the actress who played Carter cared about science like the character.

HOG and Hough transforms bring me back. honestly glad that I don’t have to mess with them anymore though.

I always found SVMs a little shady because you had to pick a kernel. we spent time talking about the different kernels you could pick but they were all pretty small and/or contrived. I guess with NNs you pick the architecture/activation functions but there didn’t seem to be an analogue in SVM land for “stack more layers and fatten the embeddings.” though I was only an undergrad.

do you really think NNs won purely because of large datasets and GPU acceleration? I feel like those could have applied to SVMs too. I thought the real win was solving vanishing gradients with ReLU and expanding the number of layers, rather than throwing everything into a 3 or 5-layer MLP, preventing overfitting, making the gradient landscape less prone to local maxima and enabling hierarchical feature extraction to be learned organically.

pff, you call using an operating system bare metal? I run my apps as unikernels on a grid of Elbrus chips I bought off a dockworker in Kamchatka.

and even that’s overkill. I prefer synthesizing my web apps into VHDL and running them directly on FPGAs.

until my ASIC shuttle arrives from Taipei, naturally, then I bond them directly onto Ethernet sockets.

/uj not really but that’d be sick as hell.

for work I have a cloud dev VM, in which I run WSL2. so there’s at least two levels of VMs happening, maybe three honestly.

I recently told my mother that I’m probably the most intelligent person she will ever meet

and so humble, too! seriously though, this is a major red flag. I rarely find smart people to brag about how smart they are.

also, telling someone that their beliefs are wrong because they’re dumb, and that your beliefs are right because you’re smarter than them, has literally never worked. it will just make them resent you, your beliefs, and anyone they meet in the future who believes what you do. this kind of smugness has been the Achilles heel of Dems for years.

I was taught that serious academics favored Support Vector Machines over Neural Networks, which industry only loved because they didn’t have proper education. oops…

also, Computer Vision was considered “AI-complete” and likely decades away. ImageNet dropped a couple years I graduated. though I guess it ended up being “AI-complete” in a way…

the most secure possible? you’ll need to learn a ton. you’ll get there, but it’ll take a while.

decently secure? install Linux Mint, install your updates, don’t run sketchy commands with URLs in them unless you know what you’re doing, maybe follow a hardening guide. you’ll be okay.

if you need to be extremely secure and private, install Tails on a USB stick. it will be slow and frustrating, and you’ll need to save files to a second USB drive, but it will probably keep you pretty safe, and it’s decently user-friendly. just make sure you keep Tails updated! you’ll have to do that by flashing the new Tails onto a new USB drive, there’s no easy way around that.

those are your two most user-friendly, safe approaches.

specifically this is how QUANTUMINSERT worked (from the Snowden leaks.) also China used the same technique, injecting malicious JS through the GFW to get bystanders to DDoS github, in a much more obvious and indiscriminate way.

nobody here is remotely likely to be targeted by NSA, of course, but you can actually do such attacks on a budget if you compromise any router in the chain. combined with a BGP hijack it’s not far out of reach for even a ransomware gang to pull something like that these days.

yo mama’s so gullible, she participated in an interactive zero-knowledge proof and believed the prover was literally the mythical Merlin.

yo mama’s so dumb, she brought poker chips to a Monte Carlo simulation.

Zalgo captchas would go so hard.