wizardbeard

The NSA tries incredibly hard to not make public which of the many many options in their toolbox are in active use at any given time. Not sure anyone outside the org can say for sure what they are and aren't using.

Wow.

They clearly care more about propety damage than people. Here's an aside on why property damage in America is often damage to people (local business owners). But they totally only care about property.

My guy, there are significant, demonstrable, and studied long term negative effects on communities (problems that directly effect the people living there) due to property damage from protests. You're right that it stems from a lack of support structures, but that cause doesn't change the bad it does to communities and the people in them. It disproportianately effects the poor as well, as those with the means tend to flee areas where propery destruction/rioting/looting occured, which takes money out of the local area, which snowballs until a once thriving community is now a food desert with no businesses or services available for the residents.

Yeah, fuck the big businesses. Fuck the 1%. But don't cut off vital services from a community by driving all of them out. Go make an actual statement and go after the owners. Go after the HQs. Go to the executives' and politicians' homes and where they actually work and spend time.

See how quick the police respond to people destroying inner city businesses vs a peaceful crowd in the street in front of Maxine Water's house, and then tell me which is more important to the rich (and therefore far less damaging to the poor).

If you're going to risk getting riot equipment used on you, pick more valuable fucking targets.

Does homeboy not know about crabcakes? All the taste, none of the pain in the ass and paying for the privilege of preparing your own food. Just get them somewhere that doesn't use filler.

Solarwinds Orion

We don't curse in this household.

Anyway, guessing it's the classic "sales sold the demo of a perfectly configured setup maintained by a dedicated team, management expects you to make that happen alone on top of everything else you already do" situation? Multiple years into cleaning up the mess of that shit at my place.

That's a combination of too simple/short in your sentences, mixed with too specific jargon with no clarification. It's dumb as hell that people don't know stuff like what a server is, but if they don't you have to abstract it more.

My go to is some form of: I'm in IT, I do systems administration. I help keep all the things behind the scenes working so that everyone's stuff works at my workplace. Less of making your email work, more of making everyone's email work.

Obviously I work with a hell of a lot more than just email. I'm mostly scripting out custom automation jobs to bridge gaps in the integrations between different systems. But like you said, keep it simple.

Sidenote: you can override your flag on /pol/ to whatever you want. Most people leave it default/accurate, but it is not reliable.

Thank you. I'm getting quite tired of people posting the most fucking obvious takes about problems in the US, then going "why haven't americans fixed this? are they stupid?", when we have exceedingly small control over the actions of our shitass policy makers.

It's some real "everyone is dumb except for me" energy.

So for those not familar with machine learning, which was the practical business use case for "AI" before LLMs took the world by storm, that is what they are describing as reinforcement learning. Both are valid terms for it.

It's how you can make an AI that plays Mario Kart. You establish goals that grant points, stuff to avoid that loses points, and what actions it can take each "step". Then you give it the first frame of a Mario Kart race, have it try literally every input it can put in that frame, then evaluate the change in points that results. You branch out from that collection of "frame 2s" and do the same thing again and again, checking more and more possible future states.

At some point you use certain rules to eliminate certain branches on this tree of potential future states, like discarding branches where it's driving backwards. That way you can start opptimizing towards the options at any given time that get the most points im the end. Keep the amount of options being evaluated to an amount you can push through your hardware.

Eventually you try enough things enough times that you can pretty consistently use the data you gathered to make the best choice on any given frame.

The jank comes from how the points are configured. Like AI for a delivery robot could prioritize jumping off balconies if it prioritizes speed over self preservation.

Some of these pitfalls are easy to create rules around for training. Others are far more subtle and difficult to work around.

Some people in the video game TAS community (custom building a frame by frame list of the inputs needed to beat a game as fast as possible, human limits be damned) are already using this in limited capacities to automate testing approaches to particularly challenging sections of gameplay.

So it ends up coming down to complexity. Making an AI to play Pacman is relatively simple. There are only 4 options every step, the direction the joystick is held. So you have 4^n^ states to keep track of, where n is the number of steps forward you want to look.

Trying to do that with language, and arguing that you can get reliable results with any kind of consistency, is blowing smoke. They can't even clearly state what outcomes they are optimizing for with their "reward" function. God only knows what edge cases they've overlooked.

My complete out of my ass guess is that they did some analysis on response to previous gpt output, tried to distinguish between positive and negative responses (or at least distinguish against responses indicating that it was incorrect). They then used that as some sort of positive/negative points heuristic.

People have been speculating for a while that you could do that, crank up the "randomness", have it generate multiple responses behind the scenes and then pit those "pre-responses" against each other and use that criteria to choose the best option of the "pre-responses". They could even A/B test the responses over multiple users, and use the user responses as further "positive/negative points" reinforcement to feed back into it in a giant loop.

Again, completely pulled from my ass. Take with a boulder of salt.

OWS crumbled in ways right out of various leaked three letter agency guides to disrupting grass roots movements.

I'd love to see it get another try, with how news sources have become far more decentralized. Less opportunity for major news orgs to kill the momentum.

Full disclosure, the destruction of OWS is pretty much the one thing I allow myself to go "full tinfoil hat" over.

Most people don't want their kids eating slop all the time.

Beyond that Minecraft is a considerably old game now, especially if you got into it in the very early days. It shouldn't be surprising that there are older people paying attention to this.

I was in notch's old threads on /v/ in the very beginning back as a young teen (yes 4chan, I was totally 18 years old, pinky swear). I'm in my 30s and have a kid now who is too young to play, but I will probably introduce her at an appropriate age if she likes computer games.

I'm not raging or anything, but I'm definitely paying attention enough to know if this movie is garbage to steer my kid away from in the future.

The moment you look at even the "best" ones for more than a few seconds you start seeing lots of fun body horror.

That's the way most discussion trends right now. Blame the tech bros and investors chasing a buck for killing the term AI.