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. _______________________________________________ Boost mailing list -- [email protected] To unsubscribe send an email to [email protected] https://lists.boost.org/mailman3/lists/boost.lists.boost.org/ Archived at: https://lists.boost.org/archives/list/[email protected]/message/IVDFVEJOGPNLB3YXGWF4H75SX5XJLYBP/