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.

The funny thing is that you absolutely can use LLMs to create or assist you to build new forms of automation and even symbolic AI systems.

These maybe more narrow / less general than agents but often more than enough for most tasks and problems. Best of all they’re often deterministic and very performant in comparison to LLMs.

Games have been using these for ages for NPCs but they’re not limited to those. Some examples: Utility system, hierarchical task networks, Goal oriented action planning, knowledge graphs and state machines.

Heck, need to translate or parse noisy, structured data like text, voice, images, video? Make the symbolic AI use self hosted lightweight LLM as a tool to translate it to symbolic form. No need for wasteful huge frontier models for that

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.

They’re actually not just licenses. When you download a game from steam you get the game data. You can back up this gamedata if you wish. Sure it will have steam DRM but thats something on can get around one way or another.

This is the power of open platform like PC

Games on GOG come with offline installer that can be used to install the most reacent version.

But you’re right, many games do require day 1 patches or even game data to be dowloaded but that makes these worse / lower in quality for many.

LLMs are one form of AI, path-finding is one form of AI, rule-engines are one form of AI, knowledge graphs can be form of AI.

For example path finding can make an AI agent intelligently traverse mazes and terrain, rule-engines can make an agent execute actions based on pre-defined rules, agent can use knowledge graph reason about its contents. Similarly LLMs can be used for bunch of stuff like predict answers to questions, auto-comple code or sentences, extract information from natural language or formulate answer in natural language based on given data.

None of these are AGI or very intelligent alone but they can be used to model forms of inteligence artificially.

It is however very annoying to see LLM hijack the whole term for itself.

It varies but I would say typically around 25. Years 18-24 are still mostly spent coming to terms with adult responsibilities and unlearning oversimplified teenager worldviews.

Life altering events or lack of can influence this one way or the other. Like moving out, starting a relationship, having children or loss of someone close. (Literally anything that makes one re-evaluate ones values and thinking)

Like someone living with their spouse and 2 children at age of 25 will likely act more mature than say socially isolated NEET still living at their parents at age 30. (Not trying to shame with the latter, just pointing out how life experience outweighs age in this)

One could probably replace the picture with one that captures American suburb. About as soulless and much less efficient in terms of housing. Take the picture in early spring or late autumn to make it extra depressing.

Take picture of the area above during a busy summer from street level and it might actually look cozy in a weir way.

I find more interesting in this the fact that since much of Claude source could be generated it might not even be eligble for copyright in many countries.

Another one is if Claude contains code copied from projects they have no license to use.

Maybe Jolla phone? Dont know if its good enough for daily driving but seems like it has some potential.

Have they? I’ve seen many games costing up to $100 or more if you want the complete game.

Many standard editions of triple-A games have been chopped to the point where even the proper ending is part of DLC that requires a season pass.

Some design their games in such away that they can sell quality of life features or some kind convenience for players. (Basically subtle form of P2W)

Some have turned their games to billboards for DLC, micro transactions, season passes and even other games.

These news are quite eye opening how difficult winter can be in other parts of the globe. Here (Finland) it’s completely normal for temperatures to drop to -20C / -4F during winter and something like -25C / -13F is not out of the ordinary. We’ve had freezing air temperatures for about month now and it’ll likely stay that way until April.

But something like this or even close to this with little to no infrastructure or clothing to handle it sounds brutal. Many of our buildings have thick walls with insulation, double pane windows and build in heating to handle these temperatures. Underground power lines in urban areas and even cars are required by the law to have studded tires or other forms of winter tires.

Enshittification finds away.

1. New TV could require/force initial update before TV can be used.
2. TV manufacturer could have deal with wireless internet provider to allow them to connect and update their devices.
3. TV:s could already be part of some IOT network that exists only for updates and analythics. All user would need to do is to power the device.