bfirsh

Joined 17 years ago

Karma
4,246
Submissions
322
Member since
Nov 29
Founder of Replicate (W20) https://replicate.com/

https://firshman.com

[ my public key: https://keybase.io/bfirsh; my proof: https://keybase.io/bfirsh/sigs/I2UKihiqAntrGCCwICWwJXcyy9Bt95eBXaBlml8VkuQ ]

View on Hacker News

Recent submissions

Comment · 6 months ago
Comment · 6 months ago
Comment · 1 year ago
Whenever I read about it, I am surprised at the complexity of iOS security. At the hardware level, kernel level, all the various types of sandboxing.

Is this duct tape over historical architectural decisions that assumed trust? Could we design something with less complexity if we designed it from scratch? Are there any operating systems that are designed this way?

Comment · 1 year ago
Free usage usually goes in sales and marketing. It's effectively a cost of acquiring a customer. This also means it is considered an operating expense rather than a cost of goods sold and doesn't impact your gross margin.

Compute in R&D will be only training and development. Compute for inference will go under COGS. COGS is not reported here but can probably be, um, inferred by filling in the gaps on the income statement.

(Source: I run an inference company.)

Comment · 1 year ago
Comment · 1 year ago
Replicate (YC W20) | San Francisco, CA + Remote | https://replicate.com/

Replicate makes it easy to run AI in the cloud. You can run a big library of open source models with a few lines of code, or deploy your own models at scale.

We're an experienced team from Spotify, Docker, GitHub, Heroku, NVIDIA, and various other places. We're backed by a16z, Sequoia, NVIDIA, Andrej Karpathy, Dylan Field, Guillermo Rauch.

We're hiring:

- An infrastructure engineer

- A machine learning engineer who's an expert at image models

- An engineer who likes talking to people to look after our customers

... and more: https://replicate.com/about

Comment · 2 years ago
You're right -- this wasn't clear. Added another paragraph to explain what you had to do before.
Comment · 2 years ago
I can confirm these are dangerous. There are several of these in Berkeley and I got knocked off my bicycle on one of them for exactly the reason you describe.

I am from the UK and it makes me wonder why road design in the US is so bad. Just one minute of thinking about this as a lay person would reveal the problem with the design.

Is there some structural reason in the US that would cause it? Perhaps some lack of standards or approval process? Perhaps iteration speed is slower so they don’t get better? Some other incentives going on?

Comment · 2 years ago

Live from the official Hacker News API

A modern reader for Hacker News · SvelteKit + Skeleton