As artificial intelligence outpaces human capability, the real question isn't whether machines will replace us, but how we'll find meaning in a world of abundance.
People need to understand the difference between LLMs and Neural Networks.
LLM training is a massive energy hog that gives us nothing but the illusion of coherent human-made text.
Non-LLM Neural Networks are much broader in use, almost always massively less energy-intensive to train, and often incredibly accurate when finely-tuned for specific purposes.
LLMs can die in a fire, and nothing would be lost. NNs in general are incredibly useful and honestly a massive source of potential for bettering healthcare (and science research in general) globally.
People need to understand the difference between LLMs and Neural Networks.
LLM training is a massive energy hog that gives us nothing but the illusion of coherent human-made text.
Non-LLM Neural Networks are much broader in use, almost always massively less energy-intensive to train, and often incredibly accurate when finely-tuned for specific purposes.
LLMs can die in a fire, and nothing would be lost. NNs in general are incredibly useful and honestly a massive source of potential for bettering healthcare (and science research in general) globally.