Rockstar co-founder [Dan Houser] compares AI to 'mad cow disease,' and says the execs pushing it aren't 'fully-rounded humans'
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It isn’t – it is a completely populist comparison that can’t be used as a meaningful argument.
CEOs work by this very same principle: say what people want to hear, making their beliefs even stronger and thus increasing their craving to hear that statement again. Repeat until something breaks.
the analogy perfectly describes model collapse.
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I’m tired of people using “AI” for only generative AI/LLM. Especially in video games ?!
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This isn’t about data analysis or any other if the creative scientific applications of this technology.
But this is the only thing that matters. Who cares how people who don’t know, care or capable of using some technology are actually using it? Ammonium nitrate is poisonous if you try to salt a soup with it, but it makes miracles in the hands of those who know how to use it (if you like analogies)
Cause that’s the version they keep trying to sell to the public.
I am not a lawyer, but I think that even in the USA it isn’t mandatory to buy everything that corporations sell.
Modern LLMs are very useful tools. Just some people try to smalltalk with it for some reason. Their right. Salting soup with nitrates is also their right.
Oh goddammit, you’re here. Move on to Lembot_0006 already, ya contrarian doofus.
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So he’s going to rehire the visa dependent labourers RG fired?
The ones that were fired 5 years after he left R*? I mean, it’d be nice if he did, but is he really at fault here?
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This isn’t about data analysis or any other if the creative scientific applications of this technology.
But this is the only thing that matters. Who cares how people who don’t know, care or capable of using some technology are actually using it? Ammonium nitrate is poisonous if you try to salt a soup with it, but it makes miracles in the hands of those who know how to use it (if you like analogies)
Cause that’s the version they keep trying to sell to the public.
I am not a lawyer, but I think that even in the USA it isn’t mandatory to buy everything that corporations sell.
Modern LLMs are very useful tools. Just some people try to smalltalk with it for some reason. Their right. Salting soup with nitrates is also their right.
Ugh yet another Lemmy user desperate to make the LLMs like them. Go chat with your chatbot friends and leave humans alone mate.
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The ones that were fired 5 years after he left R*? I mean, it’d be nice if he did, but is he really at fault here?
fyigm, amirite?
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You think he was subconsciously hinting at his prominent cranium?
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fyigm, amirite?
How’s this a fyigm situation? He left 5 years before this particular thing happened, he had no say in it.
Now if he has actual need for these employees in his new company, I could see him hiring them there, but his new studio is in California and those employees were sacked in the UK, meaning they need a new job in the UK to keep living there. He also currently has fewer employees than the amount that R* fired. That’s how small that shop is.
His brother, however, is still an exec at Rockstar. He, along with the rest of R* and Take-Two leadership has a lot to answer for.
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What’d he do?
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Oh goddammit, you’re here. Move on to Lembot_0006 already, ya contrarian doofus.
Is that a user that is “unblockable” by dodging username blocks by iterating the name?
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You must be aren’t fully rounded human for firing workers who unionised.
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Is that a user that is “unblockable” by dodging username blocks by iterating the name?
Yep, someone already joked that they picked 4 digits for their username so they have a failsafe for getting banned 9,998 times. That was at 0004.
If you look at their chat history it really explains it all tbh. I wonder if we could get this instance to defederate their account haven.
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I’m tired of people using “AI” for only generative AI/LLM. Especially in video games ?!
only
As in, what, you want more? Such as…?
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He left rockstar after red dead redemption II, partly because he was tired of dealing with those execs.
Tired of dealing with greed-flated, not fully rounded humans? I can relate.
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only
As in, what, you want more? Such as…?
Recommendation systems, search and ranking algorithms, speech-to-text, text-to-speech, voice cloning, audio noise reduction, predictive analytics, forecasting models, fraud detection, anomaly detection, robotics control systems, self-driving path planning, robot navigation and mapping (SLAM), reinforcement-learning agents, game-playing AI, warehouse optimization, dynamic pricing models, object detection, face recognition, license-plate recognition, medical image analysis, sentiment analysis, keyword extraction, spam detection, classic machine-translation models, personalization engines, matching algorithms, logistics route optimization, scheduling algorithms, resource allocation models, algorithmic trading bots, risk scoring, market-making AI, healthcare diagnostics, disease-risk prediction, protein-folding models, music analysis, beat detection, autonomous drone navigation, industrial monitoring, and smart-traffic systems.
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I’m tired of people using “AI” for only generative AI/LLM. Especially in video games ?!
You’re absolutely right, but you also need to accept that most people think ai means transformers (as in, LLMs and generative/image synthesis)
It sucks, but that’s how language works unfortunately. How most people use a word ends up defining it.
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It isn’t – it is a completely populist comparison that can’t be used as a meaningful argument.
CEOs work by this very same principle: say what people want to hear, making their beliefs even stronger and thus increasing their craving to hear that statement again. Repeat until something breaks.
Thanks Lembot.
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Recommendation systems, search and ranking algorithms, speech-to-text, text-to-speech, voice cloning, audio noise reduction, predictive analytics, forecasting models, fraud detection, anomaly detection, robotics control systems, self-driving path planning, robot navigation and mapping (SLAM), reinforcement-learning agents, game-playing AI, warehouse optimization, dynamic pricing models, object detection, face recognition, license-plate recognition, medical image analysis, sentiment analysis, keyword extraction, spam detection, classic machine-translation models, personalization engines, matching algorithms, logistics route optimization, scheduling algorithms, resource allocation models, algorithmic trading bots, risk scoring, market-making AI, healthcare diagnostics, disease-risk prediction, protein-folding models, music analysis, beat detection, autonomous drone navigation, industrial monitoring, and smart-traffic systems.
Machine learning (ML) is a field of study in artificial intelligence concerned with the development and study of statistical algorithms that can learn from data and generalise to unseen data, and thus perform tasks without explicit instructions.
Artificial intelligence (AI) is the capability of computational systems to perform tasks typically associated with human intelligence, such as learning, reasoning, problem-solving, perception, and decision-making.
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Recommendation systems, search and ranking algorithms, speech-to-text, text-to-speech, voice cloning, audio noise reduction, predictive analytics, forecasting models, fraud detection, anomaly detection, robotics control systems, self-driving path planning, robot navigation and mapping (SLAM), reinforcement-learning agents, game-playing AI, warehouse optimization, dynamic pricing models, object detection, face recognition, license-plate recognition, medical image analysis, sentiment analysis, keyword extraction, spam detection, classic machine-translation models, personalization engines, matching algorithms, logistics route optimization, scheduling algorithms, resource allocation models, algorithmic trading bots, risk scoring, market-making AI, healthcare diagnostics, disease-risk prediction, protein-folding models, music analysis, beat detection, autonomous drone navigation, industrial monitoring, and smart-traffic systems.
Sounds like machine learning (ML) “a field of study in artificial intelligence” more than what people mean when they say AI, which is Generative AI shortened.
Obviously depends on context of a conversation though for how you would deduce the usage of the word.
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While I like it as a simile, we didn’t feed cows to cows - we fed them sheep infected with scrapie, at least that’s the theory of how mad cow disease started. I say “we”, I wasn’t involved in the process, I just live here.
