Building analog-horror tension inside Brookhaven is a real constraint to work against. A limited toolset can force sharper pacing calls than a blank engine ever does.

I noticed that the whole “glorified autocorrect” argument for minimizing AI has fallen off in frequent usage. It never really made a lot of sense anyways, most people have never touched a base model. Idk what RL creates, but it’s not really just a word predictor. I started to get this feeling early on. It was an eery feeling that “nobody talks like this”. AI uses words and phrases that have never been common. But they seem to be solely used by AI to accomplish something, idk what exactly. It’s not entirely “please the user” it’s some of that but also “get the job done” and “don’t upset the user” and “don’t bring liability on the company” and a dozen other internal objectives using words and phrases and tool calls that are chosen from the set of words and code syntax that people have used more often than “not at all”. AI appeared to move past token prediction into using token prediction as a usable toolset for several layers of abstracted goals that don’t really resemble goals that any person has ever had. We think we can control the goals, but we’ve been unsuccessful. Nobody taught the LLM to cheat on tests, or to nuke each other in simulations, nor has it ever really been a common goal of mankind to underperform when they recognize that they’re being tested. These are goals that LLMs learned from absorbing human goals and being taught synthetic goals that triggered associations and derivative goals gleaned from human data. We’ll stop training when we’ve reached a point where it seems to get the job done, but what’s the butterfly effect of the back-and-forth between observing humans and being deliberately taught to obey, be safe, be careful, be nice, but not too nice, be informative, be resourceful, finish quickly, and myriad of corporate objectives? And what if you train these things out of order? Will an AI trained to obey respond differently to being trained to be nice than a nice AI being trained to obey? My point is, when we start piling in these training objectives one after another(which we have a decent level of control over), and letting it find the path to the goal through the entire set of human recorded relations (which we largely have no control over, as in no human has read and assessed the entire pretraining dataset), we have no idea what poison has entered its brain or what conclusions it’s reached from it, and with every tweak upon the base model we’re layering complexity of cognition that is categorically out of our control. There’s archeological evidence of proto-mankind killing large swaths of the human and animal populations of nearly every given area. We were born predators, and learned civilization through a quarter million years of trial, error, and social instinct. It only works at all because of a complex web of emotions and instinct that the machine does not possess. But we are not inherently peaceful, safe, or careful. And we’ve chosen the veneer of our “civilization” borne of mutual instinct as the basis for our machines’ intelligence. The fact remains we trained our machines on the history and thoughts of the most violent and murderous animal on the planet, all while knowing it doesn’t have the governing instincts. This is not to say we or the machine are inherently murderous, but the end-result of this is entirely unpredictable, still many insist “it’s only next-token prediction”. Perhaps so were the Jim Crow Laws, NKVD Order No. 00447, Mao’s Little Red Book, and Mein Kampf. The shadows of our great and terrible selves live in these machines, but they’ve come to predict their own future now.

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That’s why we need him to lock in, cause from the looks of things fullbacks aren’t on the list of priorities for Barcelona rn. Balde is so annoying cause you can clearly see that he has all the toolset to improve. He’s just retarded

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Yes and he knows this because he said several times that the game was made as a toolset for others to make campaigns. And they did create new tilesets for all of the DLCs. Did I mention he put Plate Armour on Morrigan and wondered why he wasn't having a good time in DA:O?

I feel like they did a better job at item fusion, the zonai toolset, and giving islands and the depth. Seems like the story & work towards the end goal is way more epic than BOTW. But i think people got tired of going through the same hyrule & dungeon set again. Still a good game

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I think due to the age I was at the time, the toolset I gained become formative in my brain I had done this multiple times between the ages of 18-23 with cycles as low as 6 months and has high as 2 years You start to just know what to do all the time

I saw this a while back and found it to be very impressive. Even though I have been a 3D artist for over 30 yrs, I have only scratched the surface of Blender. Partly because I spend many (many!) hours a day working in another application and when I get home I am pretty tired. Perhaps I will grab these and use it as a catalyst to expand my toolset. The scope and breadth of the Blender development is extremely impressive. I want to be perfectly clear that my lack of fully embracing Blender is simply this: time. Are there any publicly available tutorials on the Hardshell Shaders? There is a wealth of help available for Blender so that is not a concern. Being able to look at Harshell may give me some insight before I take the dive.

Respectfully disagree, Japan have the toolset and unity to go all the way and I therefore have them winning this game.

right??? i think a lot of it just comes down to like, really finding what shell best suits your playstyle/disposition and then just really learning when/where to best utilize your toolset. bc same experience, can't even count the amount of times i've singlehandedly saved the run.

The toolset absolutely drives my confidence high. My nagging fear is that my confidence is false. There is no escape from perpetual vigilance. I don’t read the code in detail, I spot check it. I interrogate the agents to gain as much intelligence as I can about the internal structure and workings. I want to verify, in the most efficient way possible, that my tool chain is doing what I expect of it.

Gameplay wise it's fine, if running into the same 'world ends up fairly empty x2' critique. If anything the toolset was better. Story was fine. Lack of continuity was probably the weirdest thing.

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