grog454
Joined 5 years ago
Joined 5 years ago
In other words, the "right" people need to solve it: the mathematicians who made it their job and not the people working to push AI models forward?
Struggling to understand how a solution to a millennium problem like this isn't a net positive. Presumably Open AI employs mathematicians in these efforts anyway. And I can think of far worse uses of the AI compute resources.
No eye tracking in this dystopia I guess.
And therefore critical thinking is more important than ever. That isn't intrinsically a problem, but it is a problem for people that lack it.
Probably goes without saying but the last line of defense is not deploying your software publicly and instead relying on server-client architectures to do anything. Maybe this will be more common as vulnerabilities are more easily detected and exploited. Of course its not always feasible.
It has been annoying seeing my (proguard obfuscated) game client binaries decompiled and published on github many times over the last 11 years. Only the undeployed server code has remained private.
Interestingly I didn't have a problem with adversaries reverse engineering my network protocols until I was updating them less frequently than weekly. LLM assisted adversaries could probably keep up with that now too.
Nope, and a human might not respond with "drive". They would want to know why you are asking the question in the first place, since the question implies something hasn't been specified or that you have some motivation beyond a legitimate answer to your question (in this case, it was tricking an LLM).
Why the LLM doesn't respond "drive..?" I can't say for sure, but maybe it's been trained to be polite.
Then use it? Mandate reaction speed tests or other driving mechanics competency evaluation (not road sign comprehension) and watch insurance margins explode.
The driver in my example did poorly and scored top marks in the heuristic.
One thing HPDE taught me is that most people under brake in dangerous situations because they simply don't know the limit of their vehicle nor the sensitivity range of the brake pedal.
The hard braking heuristic makes sense when estimating risk of road segments, but not as a proxy for driver competence.
What is it with mice and OSes?
Windows is the only OS I can seem to configure to get low latency, high accuracy, linear movement with, and it's not for lack of effort.
I struggled for several years to do SWE work on a Mac and no 3rd party program could get it working the way it does on Windows. I tried Linear Mouse and many others. I eventually gave up, went against the prevailing (90%) culture where I work, and exchanged my mac for a windows laptop. I haven't measured it, but I feel more productive simply because I can click what I want to click marginally faster.
Is something in Mac drivers performing non-linear mapping? Why?
Based on the quote above it seems like Linux hasn't even gotten up to par with Mac for mice.
The best litmus test for an OS for me is whether I could play an RTS or FPS competitively with it, even though I haven't played either for years.
1. Only the portion of the principal that is due to be paid within the next 12 months is considered a "current liability".
2. Interest is a "future cash flow" that becomes a liability as it accrues over time.
There are at least 2 reasons vision is important in SC1
1. Cloaked units are close to impossible for humans to notice when they are not consciously looking for them but once identified, its relatively easy to track and manipulate them indirectly (e.g. via body blocking). To be fair, I have no idea how the SC1 API works with cloak.
2. Missing short blips of opponent unit movement on the minimap is common and sometimes detrimental enough to swing the game.