We have a feeling that if you ask 10 people what is the biggest issue with picture AI, 9 of them will answer "fingers๐".
Since the beginning, there was a constant problem of shortage, or usually... too many fingers & teeth.
All in all, normative if you're a shark ๐ฆ.
Thanks to the new image-generating engine, ๐๐ข๐๐ฃ๐จ๐ฎ๐ซ๐ง๐๐ฒ 5, we may have just surpassed this hurdle.
๐จ We've come a long way since images that looked like Picasso had a precise cerebral event, and now stunning art can (almost) compete with leading artists. ๐ผ๏ธ
However, with the focus on improving AI models, there's a question of whether we've reached the limit of capability ๐ค.
๐๐๐ฆ ๐๐ฅ๐ญ๐ฆ๐๐ง, CEO of OpenAI, believes the era of building massive language models like ChatGPT may be coming to an end, and the future of AI progress lies in making models better in other ways.
๐บ๐, ๐๐๐ ๐ ๐๐๐ ๐๐๐๐ ๐๐๐๐๐๐ ๐๐๐ ๐๐๐๐๐๐ ๐๐ ๐๐๐๐?
If we look at this from a Workforce Future perspective (which is exactly our role to help you with as an organization) - It's clear that we'll need a deep understanding of architecture and processes, people who can examine the system holistically, and less focus on specific points.
What do you think? Have we reached the limits?
๐ผ๐ฎ๐จโ๐ป๐
๐ด๐๐ ๐๐๐๐๐๐๐ evolution:
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