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almstimplmntdon Find the flattest route between any two points in SF

https://github.com/almostimplemented/flattensf

go for it!

almstimplmntdon Find the flattest route between any two points in SF

a steepness penalty could make sense!

your example (from market & taylor to the top of nob hill) is a nice illustration: (1) straight up taylor is 229 ft of climbing at 25%, (2) via polk and california it's 251 ft at 13%.

as you probably noticed, we only look at the total elevation gain, so taylor "wins"... but I see the argument for preferring an extra 20ft of a more gradual climb.

almstimplmntdon Find the flattest route between any two points in SF

thanks! address search uses the overture address feed, which is patchy (some blocks of 24th st have 5 numbers in it)… i'll make it fall back to the nearest known number on the street

almstimplmntdon Find the flattest route between any two points in SF

Once I was visiting Yamaha’s Yokohama office for work, and I found a pedestrian path from my hotel to the office of ~2.5km that never touched a single roadway…

Google Maps absolutely failed.

Would be fun to rig up something for these cities. Which are you in btw?

almstimplmntdon Find the flattest route between any two points in SF

fair point! it just doesn't know about bike lanes yet, I’ll see about getting the SFMTA bikeway network map from DataSF.

almstimplmntdon Find the flattest route between any two points in SF

good point.. the slider trades distance against total climbing and nothing else. steepness is currently reported but not optimized.

seems like a worthy addition to the objective!

almstimplmntdon Find the flattest route between any two points in SF

ah, I think this is related to SF's "Slow Streets" program and a genuine bug in the parser.

Cabrillo is a Slow Street, and the parser read its "destination-only" tag as closed to pedestrians, so the tool couldn't see the street at all (and started you a block over?). fixed and deployed; your trip should now go Cabrillo → 23rd → Geary.

almstimplmntdon We're afraid language models aren't modeling ambiguity

I would like to see human performance on the introduced benchmark, AmbiEnt, and have it added to Table 4.

almstimplmntdon Amazon more than doubles salary caps to $350k for US white-collar employees

For AMZN software staff (especially in SF Bay Area): was it really 160K capped?

Obviously RSU grants / bonuses are excluded from this, but I still find that surprisingly low (as a salary cap) for FAANG, especially around SF.

almstimplmntdon Show HN: Neural text to speech with dozens of celebrity voices

Played with the gilbert gottfried speaker option, gave me serious Twin Peaks "Red Room" vibes.

almstimplmntdon DuckDuckGo is good enough for regular use

A bit tangential but related: has anyone else noticed an increased frequency in the desired result of a Google search being the first one on the second page?

Particularly for things involving reviews or booking, I have noticed an uptick in the (subjectively) “right” result being kept off page 1... it seems almost like some post processing logic to favor specific sites/companies. The fact that the “right” result in these instances is almost always the first result makes me think the true Ranking function knows the result’s actual value.

almstimplmntdon Advice on Getting Better from an Accomplished Piano Player (2011)

As a (jazz) piano student myself, I am happy to see "To Master a Skill, Master Something Harder."

Pianist and YouTuber Nahre Sol has a great set of exercises based on modifying passages of Chopin etudes, which serve as excellent material to study both as a template and in their own right. [1][2] She varies harmony and rhythm, and takes the exercise through all 12-keys. Much harder than just learning the passage in the original key, but that's the whole point.

[1] https://www.youtube.com/watch?v=2xYfgJVm1Ns [2] https://flatfiv.com/products/piano-technique-intensive

almstimplmntdon Amazon Quantum Ledger Database

So is “Quantum“ pure buzzword hype? Or is there a reasonable connection to the product?

almstimplmntdon Pyro: PyTorch-Based Deep Universal Probabilistic Programming

This post is about Pyro (probabilistic programming framework, with a clever logo "pi rho"), not to be confused with https://github.com/irmen/Pyro4

Completely independent projects, just a name collision.