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* '''ANI''' = Artificial Narrow Intelligence, '''specialized or "weak AI"''' (basically machine learning: pattern recognition)
* '''ANI''' = Artificial Narrow Intelligence, '''specialized or "weak AI"''' (basically machine learning: pattern recognition)
* GPT = Generative pre-trained transformers (Large Language Model with the actual "learning" part de facto outsourced to humans: Reinforcement Learning from Human Feedback (RHLF)), in best case GPTs have a ''transplanted base intelligence'' but they lack the important feature to really learn for themselves. Low quality "synthetic data" can even worsen the models.
* GPT = Generative pre-trained transformers (Large Language Model with the actual "learning" part de facto outsourced to humans: Reinforcement Learning from Human Feedback (RHLF)), in best case GPTs have a ''transplanted base intelligence'' but they lack the important feature to really learn for themselves. Low quality "synthetic data" can even worsen the models.
:: After the obvious slowdown in advancement through scaling, chain of thought (COT) was introduced. It is also known under the marketing term "reasoning [AI]". (See: Germani 2.0 Flash Thinking and ChatGPT o3)
:: After the obvious slowdown in advancement through scaling, chain of thought (COT) was introduced. It is also known under the marketing term "reasoning [AI]". (See: Gemini 2.0 Flash Thinking and ChatGPT o3)
:: This pushes ANI somewhat more into direction of AGI with the drawback slower response times and higher energy costs.
:: This pushes ANI somewhat more into direction of AGI with the drawback slower response times and higher energy costs.
* '''AGI''' = Artificial General Intelligence, also "strong AI" ('''on par with human thinking''', ''a real AI'' capable to fully self-improve and drive its own development)
* '''AGI''' = Artificial General Intelligence, also "strong AI" ('''on par with human thinking''', ''a real AI'' capable to fully self-improve and drive its own development)
:: In discussions AGI is often equated with super intelligence. The argument is that as soon as AGI is achieved ASI is just around the corner.
:: In discussions AGI is often equated with super intelligence. The argument is that as soon as AGI is achieved ASI is just around the corner.
:: This understates the '''wide scope of human intelligence''' and that AGI is achieved first by hyperscalers, making further improvement difficult through further scaling. At that point self-improvement is the true limiting factor and it will be constrained by society's wish to keep the AI "aligned". Without question, it seems very likely that ASI will inevitably be achieved via AGI. However, the speed seems to be overestimated.
:: This understates the '''wide scope of human intelligence''' and that AGI is achieved first by hyperscalers, making further improvement difficult through further scaling. At that point self-improvement is the true limiting factor and it will be constrained by society's wish to keep the AI "aligned". Without question, it seems very likely that ASI will inevitably be achieved via AGI. However, the speed seems to be overestimated.
* '''ASI''' = Artificial Super Intelligence (an AI that goes '''beyond the level of human intelligence''')  
* '''ASI''' = Artificial Super Intelligence (an AI that goes '''beyond the level of human intelligence''')


===Why we thought it would hit the working class at first again===
===Why we thought it would hit the working class at first again===
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