The idea of the 'Technological Singularity', that artificial
intelligence systems will recursively improve themselves to
the point of far surpassing human intelligence, is an old
one, but I was first exposed to it in Vernor Vinge's 1993
essay "The Coming Technological Singularity: How to Survive
in the Post-Human Era"
https://edoras.sdsu.edu/~vinge/misc/singularity.html
In 1993, Vinge predicted it happening 'within 30 years'.
We're 3 years past his window, but not far.
Advances in AI are being talked about now it ways that
are eerily close to Vinge's writing.
Consider this blog post from Anthropic's CEO:
https://www.anthropic.com/institute/recursive-self-improvement
- start quote -
When AI builds itself.
For most of AI?s history, humans drove every step in its development
cycle. But at Anthropic, we are delegating a growing share of AI
development to AI systems themselves, which is speeding up our work.
Taken far enough, and given enough compute, that trend points to an AI
system capable of fully autonomously designing and developing its own successor. This is called recursive self-improvement. We are not there
yet, and recursive self-improvement is not inevitable. But it could come sooner than most institutions are prepared for.
Using public benchmarks and previously unreported data from within
Anthropic, The Anthropic Institute is showing that AI is already
accelerating the development of AI systems. To take just one example:
today, Anthropic engineers on average ship 8x as much code per quarter
as they did from 2021-2025.
The technical trends discussed in this piece suggest that AI systems are
going to become much more capable in coming years. These trends have
huge implications. AI that can build itself would be a major development
in the history of technology?one that could bring enormous good for the
world in science, healthcare, and beyond. But full recursive
self-improvement also might increase the risks of humans losing control
over AI systems. If systems are capable of fully building their own successors, the ways we secure them, monitor them, and shape their
behavior all grow much more important.
- end quote -
Now, this may be just good marketing for Anthropic.
But maybe it's not.
pt
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