… no I am talking about actual AI as a field as a whole, not just LLMs…
Yall forgetting about Boston dynamics or something?
We got fuckin guns strapped to the back of autonomous robot dogs that can run at over 60 km/h
We got autonomous drones with facial recognition that can fly through dense forests at 90 km/h+
The fuck you think Im talking about lol…
No, thats not what I was talking about at all.
Thats not how it works.
A better example would be “nuclear arms are already here, theres no going back”
Its not a capitalism thing, its an arms race thing.
Once one country starts making nukes you cant stop everyone from following suit to protect themselves.
Same goes for AI, once one country starts doing it, everyone else is gonna need to keep up so they dont lose the arms race.
Hmmm, that might be true, or specifically the the whole circus env is one? It does say kinger@circus as his target, interesting!
In the latest episode we get to see the outright answer for this for Cain / Kinger
As you can see, the circus (managed by Cain the AI) uses an oldschool Windows OS, looks to be 98?
Kinger then uses CMD to ssh into some bash shell, I dunno if we get much view of what kind of OS it is, but it appears to be possibly a systemd flavor?
We also get to see that the circus was programmed in Lisp in the latest 90s, which sounds about right
Based on what we know about the laws of how the circus works, these indicate a manifestation of how these 2 characters mentally work with OSes.
Cain works in windows 98.
Kinger on the other hand visualizes stuff with linux!
She just failed the assignment, because it didnt actually meet the requirements lol
Thats the thing, if you simply design your assignment well, AI will just… fail at it, and you dont have to prove they used AI, they simply just didnt pass.
My wife is a teacher, she has shown me vibed handed in assignments abd its incredibly obvious.
Right off the bat, if she gives an assignment to make, say, a slideshow on “Topic” and they talk about a examples A, B, and C in class, and the assignment goes off on tangents about topics F, G, and H instead, it’s an instant red flag.
This happens cuz the student just copy paste the assignment blurb into gpt, but gpt has no context for what was discussed in class… so it goes off the rails instantly.
Its also easy to include poison pills in the middle of an assignment if they copy paste it straight into gpt.
Also theres all the usual markers. Emoji, em dash, and the assignment having way higher verbosity than you know damn well the kid has the vocabulary for. Suddenly they’re speaking at a grade 7~8 levels higher than usual? Uh huh. .
From her and her teacher friends, Ive been told its extremely obvious to spot still. And its pretty trivial to setup the assignment to poison pill the AI.
Ah, fuck, yep, I had it the other way around yeah.
I thought like, canonically, avada kedavra fucks up your soul or whatever everytime you use it and it slowly corrupts you or something
So it has a downside.
Also, to work, you have to be able to mean it and basically be a psychopath for it to even work right.
Isn’t there explanations for why people dont just use it willy nilly?
Theres also a massive distinction between consuming something necessary/important, vs consuming something 100% optional.
Harry Potter isnt food, shelter, or any other kind of critical necessity.
Theres literally countless better alternatives to Harry Potter media you can choose to consume from that doesnt directly put money straight into the pocket of someone actively funding direct harm
This isn’t multiple layers of washing here, that money basically goes straight towards actively harming minority groups.
Its not even a good fucking book, and I used to be a fan of it as a kid, but I went back and read my old books and… it just fuckin sucks dawg, its not good lol.
Go pick like, any other fandom at least.
The difference, when the tool is used correctly, is so massive that only someone deeply uninformed or naive would contend it.
I got about 4 entire days worth of work completed in about 5 hours yesterday at my job, thats just objective fact.
Tasks that used to take weeks now take days, and tasks that used to take days now take hours. Theres no “feeling” about this, Ive been a software developer for approaching 17 years now professionally. I know how long it takes to produce an entire gambit of integration tests for a given feature. I spend almost all of my time now reviewing mountains of code (which is fairly good quality, the machines produce fairly accurate results), and then a small amount of time refining it.
People deeply do not at all understand how dramatically the results have changed over the past 2 years, and their biases are based on how things were 2 years ago.
Sure, 2 years ago the quality was way worse, the security was bad, the enforcement almost non existent, and peoples overall skill with how to use the tools was just beginning to grow. You cant exactly be good at using a tool that only just came out.
But its been two years of very rapid improvement. Its good now. Anyone who has been using these tools and actually monitoring progression can speak to this.
Things heavily shifted about 5 months ago when competition started to really fire up between different providers, and I wont say its even close to great yet, but its definitely good, it works, its fast, and it’s pretty damn good at what I need it to do.
You know programmers who use llms believe they’re much more productive because they keep getting that dopamine hit, but when you actually measure it, they’re slower by about 20%.
Everyone keeps citing this preliminary study and ignores:
Its the equivalent of taking 12 seasoned carpenters with very little experience on industrial painting, handing them industrial grade paint guns that are misconfigured and uncalibrated, and then asking them to paint some of their work and watching them struggle… and then going “wow look at that industrial grade paint guns are so bad”
Anyone with any sense should look at that and go “thats a bogus study”
But people with intense anti-ai bias cling to that shoddy ass study with such religious fervor. Its cringe.
Every professional developer with actual training and actual proper tooling can confirm that they are indeed tremendously more productive.
Lovely anthropic mcp. Make sure you give anthropic lots of money and use their tools
Its becoming clear you have no clue wtf you are talking about.
Model Context Protocol is a protocol, like http or json or etc.
Its just a format for data, that is open sourced and anyone can use. Models are trained to be able to invoke MCP tools to perform actions, and anyone can just make their own MCP tools, its incredibly simple and easy. I have a pretty powerful one I personally maintain myself.
Anthropic doesnt make any money off me, in fact, I dont use any of their shit, except maybe whatever licensing fees microsoft pays to them to use Claude Sonnet, but microsoft copilot is my preferred service I use overall.
I bet you your contract with them says they’re not liable for shit their llm does to your files
Setting aside the fact that I dont even use anthropic’s tools, my copilot LLMs dont have access to my files either. Full stop.
The only context in which they do have access to files is inside of the aforementioned docker based sandbox I run them inside of, which is an ephemeral immutable system that they can do whatever the fuck they want inside of because even if they manage to delete /var/lib or whatever, I click 1 button to reboot and reset it back to working state.
The working workspace directory they have access to has readonly git access, so they can pull and do work, but they literally dont even have the ability to push. All they can do is pull in the stuff to work on and work on it
After they finish, I review what changes they made and only I, the human, have the ability to accept what they have done, or deny it, and then actually push it myself.
This is all basic shit using tools that have existed for a long time, some of which are core principles of linux and have existed for decades
Doing this isnt that hard, its just that a lot of people are:
The concept of “make a docker image that runs an “agent” user in a very low privilege env with write access only to its home directory” isnt even that hard.
It took me all of 2 days to get it setup personally, from scratch.
But now my sandbox literally doesnt even expose the ability to do damage to the llm, it doesnt even have access to those commands
Let me make this abundantly clear if you cant wrap your head around it:
And it wasnt even that hard to do
You’ll be the 4753rd guy with the oops my llm trashed my setup and disobeyed my explicit rules for keeping it in check
Read what I wrote.
Its not a matter of “rules” it “obeys”
Its a matter of literally not it even having access to do such things.
This is what Im talking about. People are complaining about issues that were solved a long time ago.
People are running into issues that were solved long ago because they are too lazy to use the solutions to those issues.
We now live in a world with plenty of PPE in construction and people are out here raw dogging tools without any modern protection and being ShockedPikachuFace when it fails.
The approach of “Im gonna tell the LLM not to do stuff in a markdown file” is tech from like 2 years ago.
People still do that. Stupid people who deserve to have it blow up in their face.
Use proper tools. Use MCP. Use a sandbox environment. Use whitelist opt in tooling.
Agents shouldn’t even have the ability to do damaging actions in the first place.
The only people who have these issues, are people who are using the tools wrong or poorly.
Using these models in a modern tooling context is perfectly reasonable, going beyond just guard rails and instead outright only giving them explicit access to approved operations in a proper sandbox.
Unfortunately that takes effort and know-how, skill, and understanding how these tools work.
And unfortunately a lot of people are lazy and stupid, and take the “easy” way out and then (deservedly) get burned for it.
But I would say, yes, there are safe ways yo grant an llm “access” to data in a way where it does not even have the ability to muck it up.
My typical approach is keeping it sandbox’d inside a docker environment, where even if it goes off the rails and deletes something important, the worst it can do is cause its docker instance to crash.
And then setting up via MCP tooling that commands and actions it can prefer are explicit opt in whitelist. It can only run commands I give it access to.
Example: I grant my LLMs access to git commit and status, but not rebase or checkout.
Thus it can only commit stuff forward, but it cant even change branches, rebase, nor push either.
This isnt hard imo, but too many people just yolo it and raw dawg an LLM on their machine like a fuckin idiot.
These people are playing with fire imo.
OH!
I honestly did not understand that link there with how they wrote it initially, but that makes sense now, thank you lol.
Im bolding the part right in the middle that seems to be a totally random non-sequiter that makes no sense.
Edit: see my edit above.
That makes zero sense to me, the sentence seems to be a total non-sequiter with respect to the text before and after it.
The White House app was created by 45Press, a company based in Canfield, Ohio, a town of fewer than 8,000 people located roughly halfway between Cleveland and Pittsburgh. (Donald Trump was the 45th president of the United States.) The company’s website describes it as a “design, development, and DevOps agency” and a WordPress VIP Agency Partner; it lists Amazon, NBC, and Sony as past clients.
Wat?
Anti-AI measure?
AI generated noise?
Why is that random sentence in there…?
Edit: I see now, thanks to dhork for pointing out to me the aside line is pointing out the link to the name, 45Press and Trump being the 45th president. It still is weirdly written imo but at least it makes sense.
So basically nothing written in the past 3 years? lol
People have zero goddamn clue how much code is ai assisted (almost everything written since 2023)
AI assistance has been opt out for years. Deal with it.