Thanks John. The flood was predictable. So is the attention saturation of
interested readers. As an author, why publish if no one reads it? The
"publish or death" academic narrative is self limiting and demands an
update.

All authors are writers, but not all writers are authors. While researching
with AI may have significant benefits, screening for noise on publishing
platforms is obviously highly recommended.

I should publish 1 manuscript every 3 months, but I prefer holding out for
peer reviews, which seems saturated.

Meanwhile, my growing list of manuscripts are selectively applied as
bootstrapping materials in ongoing development. Why share if prior art can
be established without publishing? Another benefit is; No need to wait for
validation of thoroughly-checked work. Just use it.

Platforms, which allow for bot access to ramp up "interest" in publications
should be avoided by authors.

Thanks for the references. I aporeciate work that furthers completeness and
accuracy.

Apologies, the Wallis Factor apparently dates back to 1655.

On Mon, 26 Oct 2026, 00:27 John Rose via AGI, <[email protected]> wrote:

> On Sunday, October 25, 2026, at 2:22 AM, Quan Tesla wrote:
>
> Today I'd like to leave you with the ~1656 Wallis Function. With my modest
> education, it seems to me an obscure function easily forgotten. However, in
> its proper context it may hold significance for enabling quantum computing.
>
>
> I forgot about that formula, in 1656!
>
> Get ready for new knowledge incoming, there is an explosion of papers:
> https://blog.arxiv.org/2026/10/01/updated-rate-limit-policy/
>
> This one caught my eye:
> https://arxiv.org/abs/2608.06438v1
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