On Sat, Oct 24, 2026 at 1:42 AM YKY (Yan King Yin, 甄景贤) <
[email protected]> wrote:

> On Sat, 10 Oct 2026, 01:11 James Bowery, <[email protected]> wrote:
>
>> On Mon, Oct 5, 2026 at 9:11 PM YKY (Yan King Yin, 甄景贤) ...The problem of
>> racial bias can be eliminated or greatly reduced by making things *open*
>> and *transparent* and allowing *AI adjudication*.  These are the
>> policies that I'm advocating for.
>>
>
How can you advocate for AI adjudication when you advocate that LANGUAGE
models use weaponized words like "racism," the "meaning" of which is
primarily connotative?

I suggested in 2005 that Wikipedia be the corpus for a lossless compression
prize (which I first called the "C-Prize") precisely because it was riddled
with such word weaponization enforced by what you call "advocacy" -- in
that case by highly motivated interests.

The failure by Google to adopt this objective criterion came to full
fruition when Google started synthesizing Africans when asked to illustrate
ancient Greek philosophers.

You're not going to achieve impartial AI adjudication until lossless
compression maximization is taken as the most objective way of extracting
"truth" relative to a given dataset.

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