imagine you are president of USA and you have to make decision. knowing answer is 50.000001% (decision is yes) is better than 50% (no clue if decision is yes or no).
 
Best,
Peter
 
 
Sent: Wednesday, April 29, 2026 at 5:26 PM
From: "Andrey Semashev via Boost" <boost@lists.boost.org>
To: "Boost developers' mailing list" <boost@lists.boost.org>
Cc: "Andrey Semashev" <andrey.semashev@gmail.com>
Subject: [boost] Re: Seeking Endorsement: Boost.int128
On 30 Apr 2026 02:11, Peter Taraba via Boost wrote:
> Use? Imagine you have really hard decision and your models tell you 50%
> result... in that case you need higher precision so you know if you
> should do it or not. Some decisions are really hard...

Would it make a difference if a more precise model gave a 50.1% vs.
49.9% outcome? Not saying higher precision is not useful, just that the
application in AI models seems questionable. My understanding is that
having more parameters is generally more preferable to
precision/quantization in terms of the model quality.

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