>
> It's reasonable to expect that multiplying by one won't cause a viable
> alternative to Mathematica et al. to go bonkers. I haven't declared a
> float variable, and I haven't type-cast anything to float. The
> expression "0.5" is, a priori, quite equal to 1/2. Mathematica knows
> it
>

I believe you misunderstand Mathematica semantics.

Mathematica 12.0.0 Kernel for Mac OS X x86 (64-bit)
Copyright 1988-2019 Wolfram Research, Inc.

In[1]:= 2*0.5 === 1
Out[1]= False
In[2]:= 2*1/2 === 1
Out[2]= True
In[3]:= 2*0.5 == 1
Out[3]= True
In[4]:= 3004166023946433/10^15 == E^1.1
Out[4]= True

Wolfram Alpha also has beginners and students as a big chunk of its user
> base, and they get the default semantics exactly right.
>

Do they?
https://www.wolframalpha.com/input?i=100+digits+of+e%5E1.1
https://www.wolframalpha.com/input?i=100+digits+of+e%5E%2811%2F10%29

On Sun, Apr 16, 2023 at 6:45 PM Nils Bruin <nbr...@sfu.ca> wrote:

> On Sunday, 16 April 2023 at 14:31:43 UTC-7 aw wrote:
>
> Awesome, let's talk about floating point semantics. [...]
> We zero-pad the 1.1 to whatever length is needed to match the other number.
> Because we see 1.1 as a shorthand for 1.1000000000000....  (infinitely
> many zeros)
>
>
> That's the ordinary-person semantics of the string "1.1".
>
>
> That's not floating-point semantics. That's just a funny way of writing
> 11/10. Those are also not the semantics that scientific calculators use (or
> excel for that matter), so I suspect that "ordinary persons" are already
> quite used to 1.1 not meaning an exact  rational number but a possible
> approximation to something quite close to 11/10. In fact, I've seen people
> use this as an argument why standard units are more precise than metric:
> one would talk about 5/16 in, but that is only approximately 0.79375 cm
> (I'm not saying I'm convinced by the argument, but it is a good
> illustration that ordinary people are quite aware of rounding errors in
> decimal fraction notation)
>
> The fact that computers often don't use base-10 floating point but base-2
> floating point is a more subtle trap, but once you're realizing that doing
> floating point arithmetic quickly leads to not all your digits being
> accurate, those difference tend to only be in digits that you shouldn't be
> trusting anyway.
>
> Perhaps you're interested in exploring RealLazyField. It actually attempts
> to provide a framework to compute with (some) real numbers exactly. I don't
> think it's ready to be the default just yet, if ever.
>
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