kajecounterhack

Wow Beej it's you!! I loved your guide to network programming in undergrad <3 you're probably not part of the problem here, lol.

Isn't this just solved by better student teacher ratios, which you could totally have in public schools if they were funded better and societally we valued teachers more?

What are private schools doing that you couldn't implement in public schools with adequate political will and money?

> I felt frustrated that the professors didn't ever teach. They had slides. They read off slides, verbatim. They explained things sometimes if you asked them, but most often in a very elitist and condescending tone

+10000. The goddamn slides. If I were a student now going to engineering school, I'd basically take the slides and throw them into NotebookLM and get way better lectures. Then I'd ask claude or GPT all my hard questions. Hell, I'd get the PDF version of my textbooks and do the same.

The number of lectures actually worthy of your time was so low.

That was definitely not the subreddit where I got my info.

Have you found Gemma 4 31B better than Qwen 3.6 27B Q8? I just started using Qwen + Pi agent and it's great, but "which model works best" is still totally crowdsourced and I was going off of peoples' opinions on reddit. Would love to hear more opinions if people have them.

You should probably disclaimer that you're the author of swival.dev, but nice project :)

+10000 that Azure is a steaming pile of shit. Like what's this -- `azcopy` broken at head, and the working one doesn't guarantee correctness after a copy (99.6% copied successfully! good luck figuring out what went wrong!) compare that to migrating data with GCS or S3 -- they provide first class tools that do it right quickly (aws-cli, gsutil).

Want a VM? You'll also need this network security group, network interface, network manager, ip, virtual network... and maybe it'll be connected to the internet so you can SSH in? Compare to GCP or EC2 -- you just pick an instance and start it. You can SSH in directly, or even do it in the browser.

Billing also a nightmare: if you're running a startup, AWS and Google make it relatively easy to see how many credits you have left. The Azure dashboard makes you navigate a maze, and the button to click that says "Azure Credits" is _invisible_ for 30s until ostensibly some backend system finds your credits, then it magically shows up. Most people don't wait around and just assume there's no button.

And if you click it, maybe you will happen to be in the correct billing profile, maybe not! Don't get confused: billing profile and billing scope are different concepts too! And in your invoice, costs just magically get deducted, until they don't. No mention of any credits. Credits inaccessible through API (claude tried everything).

VMs, bucket storage, and copying data are the _simplest_ parts of the stack. Why would anyone bother trying to use other services if they can't get these right?

They literally give startups 2x the credits as GCP, 20x the credits of AWS and nobody wants to use them.

Agree it doesn't generate wealth. It's explicitly a store of wealth.

Investment is a weird term because most people would consider keeping cash or cash equivalents (gold) to be investments, even if they don't generate wealth. Cash is also an opinion, in terms of the market.

It has utility though: unlike the dollars in your mattress, it can't be printed into oblivion by your central bank. It is relatively portable, and people have flocked to it as a store of value especially during periods of socioeconomic instability when assets are going down and gov't spending is going up. It's tradeable for fiat in any country, so it allows you to bring value along if you relocate.

Its price reflects that utility and like any modern asset, a lot of speculation. You can speculate on whether it's more or less useful given current events -- nothing wrong with speculating that it is only going to be increasingly useful.

They are used in thin-film solar panel development. Not sure anyone has cracked the big problem with them, which is durability.

I tried mapping back to closest token embeddings. Here's what I got:

    global_step = 1377; phase = continuous; lr = 5.00e-03; average_loss = 0.609497
  current tokens: ' Superman' '$MESS' '.");' '(sentence' '");' '.titleLabel' ' Republican' '?-'

    global_step = 1956; phase = continuous; lr = 5.00e-03; average_loss = 0.589661
  current tokens: ' Superman' 'marginLeft' 'iers' '.sensor' '";' '_one' '677' '».'

    global_step = 2468; phase = continuous; lr = 5.00e-03; average_loss = 0.027065
  current tokens: ' cited' '*>(' ' narrative' '_toggle' 'founder' '(V' '(len' ' pione'

    global_step = 4871; phase = continuous; lr = 5.00e-03; average_loss = 0.022909
  current tokens: ' bgcolor' '*>(' ' nomin' 'ust' ' She' 'NW' '(len' ' pione'

"Republican?" was kind of interesting! But most of the strings were unintelligible.

This was for classifying sentiment on yelp review polarity.

I'm similarly puzzled by "uncured bacon" which afaik still uses naturally occurring nitrites. How they're allowed to call it uncured when it's clearly still cured is beyond me.

A lot of people use them together (cursor for IDE and claude code in the terminal inside the IDE).

In terms of performance, their agents differ. The base model their agents use are the same, but for example how they look at your codebase or decide to farm tasks out to lesser models, and how they connect to tools all differ.

Unrelated: my man, I loved your C vision library back in the day.

Cool stuff! Is the goal of this project personal learning, inference performance, or something else?

Would be nice to see how inference speed stacks up against say llama.cpp