Rejected for the following reason(s):
- Insufficient Quality for AI Content.
- We are sorry about this, but submissions from new users that are mostly just links to papers on open repositories (or similar) have usually indicated either crackpot-esque material, or AI-generated speculation.
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In the past some financial firms used to fly Financial Times newspaper from London to NY on Concord.
This highlights value in getting information earlier than others.
Getting information earlier than competitors was valuable enough to justify the huge cost.
Today, we face difference challenge, we have a flood of data, key is removing noise and focusing on relevant information.
From volume to relevance
In our body our sensory organs also take vast amount of inputs, however only a tiny fraction ever reaches conscious awareness. Large portion of data is discarded, the lossy process is not a flaw but it is our survival feature that is not perfect but increase our odds of survivability.
Today's information environment is similar, when signals were rare all signals mattered but with so many signals hard part is deciding which one is relevant.
AI as compression infrastructure
Is AI a true intelligence? May be, but may be it is far better described as dimensionality-reduction infrastructure.
Like our lossy sensory input filter, AI also is a lossy data filter.
Dimensionality reduction is lossy by definition. It is a trade off between speed and full picture decision making. Model is not seeking truth but more like seeking best fit representation under constraints.
This makes AI closer to general-purpose tools than to an oracle.
A familiar pattern
A computer which is easily accessible by mass can be:
The difference is not a machine but user's understanding of the tool and knowing strength and weakness.
AI feels similar, users dictate outcome.
If it is a tool
If AI is a tool and it creates lossy information. The important question becomes where it is placed and how it is used.
When the filter moves upstream, do we risk creating a more monotonic culture and are we trading between efficiency at the expense of resilience?
I have written a longer working note expanding on this idea here:
https://home.baemax.co.uk/#innovation-speed-to-signal