It's hard not to just want the damn AI to take over already when you read confident comments like OP, but the truth is: > The new MIT study adds to a growing b

It's hard not to just want the damn AI to take over already when you read confident comments like OP, but the truth is: > The new MIT study adds to a growing body of evidence that the size of algorithms matters less than their architectural complexity. For example, earlier this month, a team of Google researchers published a study claiming that a model much smaller than GPT-3 — fine-tuned language net (FLAN) — bests GPT-3 by a large margin on a number of challenging benchmarks. And in a 2020 survey, OpenAI found that since 2012, the amount of compute needed to train an AI model to the same performance on classifying images in a popular benchmark, ImageNet, has been decreasing by a factor of two every 16 months. [0]: Improved algorithms may be more important for AI performance than faster hardware: https://venturebeat.com/ai/improved-algorithms-may-be-more-important-for-ai-performance-than-faster-hardware/ https://venturebeat.com/ai/improved-algorithms-may-be-more-i...