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Hopefully Capcom will put more of their games to G.O.G, they've already added some of their classics there.

Honestly with how hyper-monetized the triple-a games have become I've shifted my focus more and more to similar games from smaller and less established studios.

Like at this point I would be more hyped in some small team doing spiritual sequel to something like morrowing or oblivion that the actual TES VI.

Also many studios like Bethesda, ID and Blizzards are essentially ships of theseus meaning most key people have either left or made to effectively sabotage their own games .

Its also funny that one could be lazy in a creative way and get more interesting results. Like do a poorly drawn doodle oneself and go with it or just combine some roalty free images to create something simple and funny.

We have after work parties couple times a year and they've started to use AI in their invitations while simple silly edited photo from previous party could have been much more personal and funnier to use.

Once saw advertisement for university near me on LinkedIn and they had used generative AI to create a photo of a smiling student near some trees. Instantly made me question the whole school as sure they could have just taken a photo of some students or teachers in their cafeteria or something.

And you are constantly putting words in my mouth because your arguments do not stand on their own. I've never claimed that you do not need to verify LLM outputs, infact I believe that paradox of automation will be one thing that'll bite these companies in the ass most in coming years.

The fact that big tech is hijacking the term AI to sell their generative AI services does not make GOFAI any less AI that next token prediction systems. Sure my stance for AI may be too moderate here.

But if you truly hate all forms of AI better stop playing video games as they are often full of AI agents called NPC's or bots. Better stop using internet search because not only are the web crawlers form of AI so can be knowledge graphs (reasoning) and search algorithms using machine learning.

My "hatred" is mostly directed against big tech and tech-bros trying to sell generative AI as solution for everything and by doing so irresponsibly damaging the enviromental, social and economic pillars of our society.

Moving goal posts? LLM can be used to dynamically convert natural language in to database queries, CLI commands, Goals with parameters for HTN and GOAP systems.

It can also be used to extract and transform information from natural language for use with symbolic systems like knowledge graphs or new rules for rule engine.

It can also be used to further develop and maintain existing symbolic systems and processes.

None of this is as exiting as "AGI" or LLM getting labeled as cyber weapon but more sane use cases for the technology than running expensive chatbots inside a loop to act as slot machines that may or may give you what you want.

Might be a hot take here but personally I view LLMs as nice piece of technology that is being used in very "inefficient" and "wrong" ways.

We have technology that can itrepet meaning and extract facts from natural language at striking accuracy which has been problem for symbolic processes for decades.

But we are using the technology to create hallucinating agents, that follow rules probabilistically and are vulnerable to social engineering through pretty much all possible channels.

Well they're benefitting me and my colleagues greatly to develop enterprise integrations. It can search through framework documentation in seconds and guide on how to setup and configure consumer and producer endpoints.

It can also spit out working regex and utility methods in seconds and help spot bugs in code or analyze problems based on error logs.

I do not vibe-code or use AI agents but LLMs have improved the quality of my code plenty by providing sparring partner that I can bounce ideas around with for 24/7.

Yeah and one of my points was that these other technologies can also benefit greatly from new advancements in neural-side of AI technologies.

Personally I am interested in Neuro-Symbolic AI systems where most if not all reasoning, planning, execution, validation etc happens deterministically in the symbolic side while neural models are mostly used to perceive the world or intrepet client demands.

Maybe if you have limited understanding about A.I technologies and fail to intrepet what I actually said. Nowhere in my post did I mention anything about using LLMs in games.

Instead my claim is that Symbolic AI technologies that are also used in games are often more than enough for a lot of cases where one might want to automate something with AI. Technologies like HTN, rule-engines or knowledge graphs are order of magnitudes cheaper to run than LLM.

Now these technologies can benefit from LLMs in various ways for example enterprise applications and integrations.

PC is an open platform, consoles are not. If a data can be downloaded locally it can be backed up one way or another. You may need a crack to get around the DRM or reverse engineered private server to access some games but the options are there.

At some level this is also possible on many consoles but usually requires either emulation or modded console.