ash-ali

Table of contents & the books description seem a little gloomy to anyone else?

GNU Radio, filters, AM/FM, IQ demod ... I remember working through all these topics on GNU Radio Tutorials wiki [0] but I don't know if the book offers anything more of value?

Also, if the authors focus on GNU Radio as their software stack why would they not include a chapter on creating your own Python Blocks which is the biggest upside (imo) to GNU Radio. I love SDRs and think anyone interested in electrical engineering should play around with them. I dont know if I'd recommend this book based off what the sample chapter 4 provided.

[0] https://wiki.gnuradio.org/index.php/Tutorials

I think this is the proper way to use llms for tasks that require high fidelity. currently im working on binary analysis using llms for natural language and letting ghidra/codeql do the symbolic work. scalability is a massive issue, perhaps the biggest besides fidelity.

its interesting to see many people come to the same neuro-symbolic conclusion around the same time.

last years falcon (crowdstrike specific conference) they for the first time every showed live the interviews of 3 north koreans trying to get a job in software engineering positions at some forture 500 companies. i was baffled at every 'security' question to validate the person is actually in the US gets glossed over like: "my ID is at my home right now, and im in my office so i don't have that with me".

RSA conference in the city

imo its a little more difficult to publish at these conferences using: "take any architecture and any corresponding benchmark, tweak the architecture slightly and publish a paper". at t2-t3 conferences ... sure.

One of the biggest problems i have with running basic text editors like vim/nvim is the investment time to spin up a fully loaded workable development env; esp since i've never done it before. basic vim with some modifications in .vimrc is all i have and i know some of my colleagues are also this way!

nowadays though i really want to use LLMs to write code for me instead of switching contexts on different platforms. can i ask what you use for LLM stuff on nvim? how do you like it compared to running bare bones vim and switching platforms?

I absolutely love winutil. Periods of installing fresh windows made this one of the first things to do on a new system.

i know europe is making it easier for grants/proposals to go through and lessening the overall time it takes for grants to be accepted, for people in academia leaving the US

Vouch for this approach ... not just in ml/dl but as a general way of learning things in life.

resources like this are useful, in an academic setting. lets not forget we all forget 50% or more of what we learn about 20 minutes afterwards unless we consistently remind ourselves of what we learn.

unless others prove me wrong using personal anecdotes.

the govy uses specialized hardware that isn't sold on the market right? would something like this be useful in developing said hardware>?

I absolutely love this comment <3

the main takeaway is complexity is the enemy of security; we could all agree with this no? ... anyone ever opened the thousands of pages bluetooth standard?

this is a really cool presentation to read regardless if people agree with it or not. regarding the QC stuff ... i no idea.

If anyone is interested in future small fabs: https://atomicsemi.com/ Looks very promising. Founder is an interesting person.

I'm super skeptical about online degree programs. Although it seems you're enjoying it; gl!

Why would NixOS be good for self-hosting and everything-management?

I recently tried to get into NixOS for the sake of learning something new. Struggling to find a proper reason to use this as a personal daily-driver.

I hope someone could share their insight on this comment. I think the other comments are fragile and don't hold too strongly.

I love this advice. But, I find it extremely difficult to just read and jot things down without having any applied work in parallel.

Your idea may be the ideal case :]

EE & CS aim for that many. I've heard maths grads aim for 1.