1,209 karma · joined November 24, 2016
Providing long-term consequences for short-term thinking.
Kid: "I AM NEVER USING RUST, I HATE MEMORY SAFETY AND I HATE YOU!" door slam
I could think of several advantageous moves like artificially inflating rents then favoring a well paying client by keeping their rents lower than the market. Investing in property spread out across shell companies and then have the algo favor them in a non-intuitive way.
What is that? Local LLM? Do I have some agent watching all my system calls for tomfoolery? Does it tell me I am doing a great job while it watches me butcher some poor programming language? Can it at least format yaml for me since I am not lazy enough already? Better yet, can it infer from the quality and depth of my yaml nesting my deepest fears and desires and output them in json?
Edit: typo... Again
Organized criminals can get bespoke hardware simply by hiring skilled labor overlooked or outcast by industry. Skilled tech-based criminals can build their own kit.
This hurts mostly people who want to get into some form of security or hacking and at best maybe stops high school antics but threatens to upend the entire way hackers have always honed their skills by doing and tinkering and also upending the small industries that support them and the security professionals who use the gear in production.
Edit: typo
Also Wi-Fi Alliance: Refactored(-ish) deauth to unprotected power-save bit.
I'd like off the ride now.
Deafness is a medical issue depriving a human being of a naturally evolved sense that is critical to survival even in a stable civilized world. Denying them that sense because of identity politics is every type of wrong.
Hiding MCAS to avoid recertification was well above the paygrade of an engineer at a bench poking a circuit.
Also, if you want a short version of how this stuff goes very wrong even when engineers do say something, the challenger disaster[1] movie is great. Chase it with the NASA documents[2] for the long version.
[1]: https://www.youtube.com/watch?v=bvv2-7iOD_8
[2]: https://www.nasa.gov/history/rogersrep/genindex.htm
Edit: typo
Where most ordinary people run into trouble is decidedly very well down that particular foodchain.
Who is the threat in your scenario?
Two things to remember is legal liability and security, I host some things on my connection but everything is piped in via proxy from a cheap VPS and is throttled and has a clamp least badness happen. As for liability I'd read up on local laws, it gets tricky.
Break out the spectrum analyzer and it is actually operating on wifi just on channel 14 but the mystery goes deeper from there because as it turns out they are using a RTL chipset with a heavily modified firmware that I suspect modifies the wireless stack to hide it, violate rf power limits and I am not quite sure what else. I dumped the flash and I have the modified kernel module they are using I just haven't gotten around to poking at it.
Edit to add: Also I've only worked on the controller so far, I am very fascinated to see what I find on drone side.
Oh no we did a terrible job and hardcoded credentials, someone found and tried a password and then reported it without stealing or destroying anything but our egos... the horror. Let's run to the cops and potentially ruin a life.
Human teachers can be audited without advanced knowledge in maths, computer science, and information theory to discover what went wrong.
Human teachers can be held accountable.
A Human teacher has limited scale thus limited damage over bad information with more safeguards than "Big Corp promises not to be bad"
A human teacher can realize their own mistakes.
Human teachers have complex incentive structures that can modify their behavior.
Many humans (even ones with technical training) tend to see computers as infailible in first principals of math and carry that forward to deep learning which is where the math becomes tough to audit, couple that with LLMs affinity for overcoming the uncanny valley enough to seem like a rational human actor because of the datasets being used and you have "magic". This is before you even add financial incentive.
Not saying these issues in deep learning can't be tackled but the disengenous hype-train and the downvoting because people point out flaws with the new internet ATM is wearing thin.
SSDM. Same shit, different medium.