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https://freedium.cfd/https://medium.com/predict/ai-is-hitting-a-hard-ceiling-it-cant-pass-851f4667d39b>
'There has been an insane amount of hype surrounding AI over the past few
months. Supposedly, Teslas are going to entirely drive themselves in a year or
two, AI will be smarter than humans next year, and an army of a billion
AI-powered robots will replace human workers by 2040, and that is just the AI
promises made by Elon Musk so far this year. The entire AI industry is awash
with predictions and promises like this, and it feels like AI development is on
an unstoppable exponential trajectory we humans simply can't stop. However,
that is far from the truth. You see, AI is starting to hit a development
ceiling of diminishing returns, rendering these extravagant promises utterly
hollow. Let me explain.
To understand this problem, we need to understand the basic principles of how
AI works. Modern AIs use deep learning algorithms and artificial neural
networks to find trends in data. They can then extrapolate from this data or
generate new data along the same trend line. This starts by "training" the AI,
where a massive amount of data is fed into it for analysis, enabling it to find
these trends. After this, the AI can be queried for an output. This basic
concept powers computer vision, self-driving cars, chatbots and generative AI.
This is a somewhat reductive explanation, but it is all we need to understand
for now.'
Cheers,
*** Xanni ***
--
mailto:xanni@xanadu.net Andrew Pam
http://xanadu.com.au/ Chief Scientist, Xanadu
https://glasswings.com.au/ Partner, Glass Wings
https://sericyb.com.au/ Manager, Serious Cybernetics
