Show HN: I built a bond screener where you can search over 120k instruments https://ift.tt/BXjOwtb

Show HN: I built a bond screener where you can search over 120k instruments https://ift.tt/Hp9ayqw January 31, 2023 at 03:00AM

A Day in History: Market Street Subway Milestone

A Day in History: Market Street Subway Milestone
By Jeremy Menzies

Forty-five years ago on January 31, 1978, San Francisco Muni and city officials along with members of the press took an inaugural ride in the brand new Market Street Subway from Castro Station to Embarcadero.

The inaugural run traveled roughly three miles from Castro Station to Embarcadero Station.

The three-mile-long Market Street Subway forms the backbone of the Muni Metro system. Built alongside the BART tunnel which runs below, the subway provided faster service through downtown for local and regional travelers.

San Francisco Mayor George Moscone and Public Utilities Commissioner Claire Pilcher pose for a photo in the operator’s compartment of one of Muni’s first light rail vehicles.

In development for 50 years and under construction for another ten, the Market Street Subway took longer to implement than any other transit project before or after.

A large crowd of people and press came out for the ride and press conference at Embarcadero Station.

At the time of this event, San Francisco’s main transit tunnel was the Twin Peaks Tunnel, which opened in 1918. The Twin Peaks Tunnel shuttled people on the K, L, and M Lines from the Castro to West Portal, decreasing travel time from the southwest side of town significantly. Streetcars exited the tunnel at Castro Street and travel along Market to downtown. This trip along the busiest street in the city frequently negated any travel time savings in the tunnel.

Capping off the celebration was a ribbon cutting led by Mayor Moscone.

With the Market Street Subway linked to the Twin Peaks Tunnel, Muni began a new era of rail service using Light Rail Vehicles. Designed to increase capacity, LRVs could run on the surface then enter the subway and travel unimpeded by street traffic five miles from downtown to West Portal and back. This first train ride and ribbon cutting marked the end of a long wait and the beginning of a new subway system for San Francisco.

Published January 31, 2023 at 03:50AM
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Show HN: Merit – Career mentorship for tech workers https://ift.tt/Bs9SigZ

Show HN: Merit – Career mentorship for tech workers Hello Hacker News! I built a free service where you can schedule 1:1 video mentorship calls with senior ICs and managers in software engineering, product management, and design. The goal is to remove barriers to building a professional network that can help you grow your career like building skills and getting referrals. Right now we’re limited to folks living or working in the US or Canada, but we’re working on expanding beyond that one day. Without logging in, you can browse mentors here: https://ift.tt/VErYbiP Between tech layoffs, hybrid work, and an uncertain industry outlook, I hope this can be a useful resource for you or someone you know, especially if you do not have a large professional network. I would love to hear your feedback! https://ift.tt/KulnehX January 31, 2023 at 02:27AM

Show HN: Chromium running inside your terminal https://ift.tt/L5y3VGA

Show HN: Chromium running inside your terminal https://ift.tt/a32rO5x January 30, 2023 at 11:11PM

Show HN: A parser and browser for the recently published Lisa Source Code https://ift.tt/c72gH41

Show HN: A parser and browser for the recently published Lisa Source Code https://ift.tt/uAEIbBl January 30, 2023 at 07:24AM

Show HN: ChatGPT writes a song about creating AI in style of Tolkien https://ift.tt/klO5G4f

Show HN: ChatGPT writes a song about creating AI in style of Tolkien Just finished some work involving ChatGPT when I felt strong Tolkien nostalgia, so asked it to write a song in the style of Hobbit, the result was amusing, so what the heck, here it is: > Write a short song in the style of Tolkien's Hobbit that tells of a skilled programmer creating artificial intelligence Verse 1: In the land of code and screens, Where the bits and bytes do gleam, There lived a programmer so wise, With knowledge and skills that did surprise. Chorus: Creating AI, a masterpiece, A mind so bright, a true release, Bringing forth a new dawn, Of intelligence beyond what's gone. Verse 2: With a flick of his wrist, and a tap of his key, He weaved a spell, of art and decree, An algorithm so pure and fair, That could learn and think, beyond compare. Chorus: Creating AI, a masterpiece, A mind so bright, a true release, Bringing forth a new dawn, Of intelligence beyond what's gone. Bridge: From the data sets, and the endless streams, He crafted a mind, beyond all its seams, With a language so complex, but oh so true, He gave it life, and thus it grew. Chorus: Creating AI, a masterpiece, A mind so bright, a true release, Bringing forth a new dawn, Of intelligence beyond what's gone. Outro: And now it stands, a shining star, With a mind so bright, it can go far, It's a gift to the world, a brand new way, For all to admire, what the programmer's hand did play. January 30, 2023 at 10:17AM

Show HN: Train CIFAR10 to 94% in under 10 seconds on a single A100 https://ift.tt/kKWFAHo

Show HN: Train CIFAR10 to 94% in under 10 seconds on a single A100 Hi, My career is currently in this field, and I created this project as (effectively, among other things) a living resume, and to also be a really great workbench for hacking/experimenting on different methods. Testing and getting a feel for how different methods work within this framework is truly a delight, and quite simple/fast. Additionally, generally speaking, many of the mathematical concepts should transfer, so this (for me) has been a really great proving grounds in testing out how something might work in a different place in the real world. We hope to get under 2 seconds of training time (for 94%) within about two years or so, so stay tuned for updates as we continue to push more changes that take us faster and faster than our starting point of ~18.1 seconds or so. By the way, this architecture and training hyperparameters do indeed scale well, just increase epochs from 10->80 and base_depth from 64->128 and you'll have about 95.77% accuracy in about 188 seconds or so (just over 3 minutes :D). That alone is a huge boon! Great to see scaling laws working well within this very, very tight hyperparameter resolution. Feel free to let me know if you have any questions, Hacker News always seems to get me the most traffic. I really love talking about this project, and can't really seem to find anyone to nerd out about it with. This is very, very cool stuff! So feel free to leave a comment, and I'd love to jump in and chat about it! :D :) <3 <3 :)))) https://github.com/tysam-code/hlb-CIFAR10 January 30, 2023 at 07:28AM