Re: Seeking Endorsement: Boost.int128

Andrey Semashev via Boost <[email protected]>
Newsgroups gmane.comp.lib.boost.devel
Message-ID <[email protected]>
On 30 Apr 2026 03:29, Peter Taraba wrote:
> 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).

50.000001% seems pretty much the same as 50% to me, no matter how
important the decision is. What I'd be interested in is a deeper
analysis, and a more capable (and not necessarily more precise) model
could help with that. Although, as a president, I probably wouldn't rely
on AI too much.

> *Sent:* Wednesday, April 29, 2026 at 5:26 PM
> *From:* "Andrey Semashev via Boost" <[email protected]>
> *To:* "Boost developers' mailing list" <[email protected]>
> *Cc:* "Andrey Semashev" <[email protected]>
> *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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