The Ledger

Every statement that passed quotation and attribution checks. Mix any filter with any other: certainty 1/5, debate potential 5/5, or both at once.

clear all ✕

why aren't all 5 resolved? a statement only gets an assessment when the public record can support or contradict it. opinions and what-ifs never can, and 0 checkable ones are still open, waiting for their date. predictions held up or didn't; assertions are supported or contradicted. on every card: ▮▮▮▮▮ certainty · ▮▮▮▮▮ debate potential. speakers are clickable

Insight
Deep learning teams using standard code branches are light years ahead
“If you find, you know, companies that are doing deep learning that have, you know, staging development and master branches, that's already, like, light years ahead of, I would say, 99% of the companies that will be using this technology in five years.”
Dillon Erb Feb 25, 2019 ▶ 20:03 CI/CD for Machine Learning & AI // Dillon Erb, Paperspace (FirstMark's Data Driven NYC)
Insight
Lack of standard model repositories forces companies to hack solutions using Dropbox
“There's no good model zoo or model repo, and, you know, almost every company that I've worked with has their own version of that, and it can range from a Dropbox folder to, you know, actually repurposing Travis to actually do that.”
Dillon Erb Feb 25, 2019 ▶ 16:37 CI/CD for Machine Learning & AI // Dillon Erb, Paperspace (FirstMark's Data Driven NYC)
Prediction Not checkable as stated
Erb predicts ten new machine learning hardware accelerators will launch in 2019
“My guess is by the end of the year, there will be 10 more new devices that are coming out.”
Dillon Erb Feb 25, 2019 ▶ 8:23 CI/CD for Machine Learning & AI // Dillon Erb, Paperspace (FirstMark's Data Driven NYC)
Assertion Not checkable as stated
Erb: The largest deep learning teams generally do not exceed 20 people
“The biggest teams generally don't go much larger than, say, 15 to 20 people, especially in the deep learning space.”
Dillon Erb Feb 25, 2019 ▶ 14:25 CI/CD for Machine Learning & AI // Dillon Erb, Paperspace (FirstMark's Data Driven NYC)
Disclosure
Paperspace customers run machine learning training workloads lasting up to three weeks
“We run workloads for customers that can go up to like three weeks for a training task”
Dillon Erb Feb 25, 2019 ▶ 9:11 CI/CD for Machine Learning & AI // Dillon Erb, Paperspace (FirstMark's Data Driven NYC)
Made with StarZero

Turn any episode into a week of clips.

This entire site, over 400 conversations transcribed, diarized, checked and made playable, runs on the StarZero media pipeline. Drop in your own episode and the podcast clipper finds the moments worth sharing, cuts them, captions them, and reframes them for every feed.