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Is he writing assembly for his syscalls too, or is it like, "no stdlib, except for real annoying parts"


At some point I think he caved and just started using OpenGL. I don't know because he turned off all of the comments on his youtube channel. I think the only thing he's demonstrated is how bad an idea "building a AAA game entirely from first principles" is.


He was not building a AAA game nor trying to...


https://hero.handmade.network/forums/code-discussion/t/2783-...

He says verbatim his goal is to be a stepping stone for serious engine programmers (not necessarily "general purpose", but definitely AAA-level), even though obviously we are not going to be making a AAA game for obvious reasons :)

So fair enough, but between that and his claim that he's showing people how to create a "professional quality" game I think the difference between a AAA game and a "AAA-level" game engine has no distinction, it's basically the same thing.

Is what he has done so far professional grade, capable of "AAA-level" games? I don't think so, but I concede that probably depends on what your parameters for "AAA" and "professional quality" are. It might be fine for indie games but it seems to me that Casey was selling an audience on revealing something deeper.


Location: Alberta, Canada

Remote: Yes (open to in-person also)

Willing to relocate: Yes (for US companies, I'm a licensed P.Eng so I should be eligible for a TN visa under USMCA/NAFTA - I understand there's much less overhead with that compared to others)

Technologies: Python, PyTorch, Pyro, CVXPY, FastAPI, SQL, Redis, Elasticsearch, Docker, Kubernetes, C#, C++, Rocq, Haskell + lots of data science & backend exposure.

Resume: https://mbrigdan.github.io/mbrigdan/resume.pdf

Email: mbrigdan@gmail.com

--

Hi folks, I'm Matt. About 7 years of experience working at the interface between data science and backend development. My most recent work has been around optimization of grid-scale energy storage systems - I was the technical lead for the team's first go-live in the ERCOT power market. A lot of experience taking something functional but bespoke (think e.g. a Jupyter notebook from a DS researcher) and applying rigorous software engineering principles to make it modular/scalable/maintainable, and dealing with the problems that result from applying machine learning in the real world (e.g. robustness to forecast error).

Primarily experienced in Python but I've learned a lot of languages at this point and don't mind learning new tools that fit that job.

Not afraid to get my hands dirty deep in the guts of algorithms/statistics/mathematics, my background is in electrical engineering with some signal processing experience. I've got years of math skills crying out to be used!

I'm looking for a role that lets me sink my teeth into challenging problems - some kind of math/statistical analysis/optimization/algorithmic bent would be ideal, I get a great kick out of testing out cutting edge new libraries, implementing an algorithm from a new research paper, that kind of thing.

Would love to connect, even if just for networking.


They were not uploading files. They were crawling the site with URLs that in turn made the search engine retrieve the CSAM and display it.

Still shitty, but more obviously a technical mistake than a deliberate ploy.


A mistake that they continued making for weeks or even months after being clearly informed by multiple reverse-image search providers of what they were doing.


I'm not them but I suspect they mean a kind of "above my paygrade/not my problem" tendency. You can defer almost indefinitely (or make other people do it for you) a lot complicated work with phrases like "we need senior/staff buy-in on the design", "I think we need XYZ team on board/cross-team management approval", "maybe the cloud platform team should be building this, not us?", "I told the architect our requirements and they'll get back to us once they makes a design".

i.e. stop using your own brain and tell the people above you they need to make the hard decisions. Especially because so many decisions technically have impacts beyond your own team, its hard for people to push back on such behaviour.


I feel like you hit a borderline-pathological case for the noise reducer with that image. It hasn't just blurred the cross-hatching (? is that what those patterned lines are called?), its completely removed it.

I tried it with just upscaling and no noise reduction, and the result is about what you'd about: a really nice upscale, perfectly preserving all those patterns (as well as the noise, unfortunately). Doing that and filtering in another program might work better.


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