Notes from 28/10–4/11

Wonder if it’s possible to expressing everything as an algorithm. It’s just a formal expression of logic and can be tested at this point.

Blockchain

That was very harsh. Basically.

TLDR: Liveness and safety are two inseparable properties of consensus protocols. Liveness is a guarantee that a protocol will do something useful even in the face of failures. CBC Casper, a family of consensus protocols, leaves out liveness from their analysis. Treating 1 out of 2 doesn’t get you 50% of the way to a full protocol; it leaves you with almost nothing.

Interesting way of explaining the attack.

Malleability is the ability to change the identifier of a transaction (the TXID) but without invalidating that transaction

Since Alice knows Bob doesn’t know, she tricks Bob into re-issuing the payment again. She repeats this until Bob eventually realizes what’s going on, but it could be too late.

Pretty accurate.

Three types of privacy: identity, transaction data (payload), state

Different approachs: 2nd layer protocols, mixers, ZK-based

Career

The invitation to ask questions is a great moment to demonstrate you’re a team player and that you’re interested in the company dynamics, says Liu. “I rarely get asked about the working relationship between your team and other teams in the company,” she said. With so much technical work being cross-functional, she’s surprised by this, and it makes her wonder, don’t they want to understand how they’d fit into that puzzle?

It’s the best chance to find out whether you want to work there or not. In a nice way of course.

If for some reason I ever need to do this

Data

Dev

Combining GPT2 with some simple web app making

Product

Strategy

Tools

Netflix Open Sources Polynote to Make Data Science Notebooks Better

Polynote is available in Github and you can also follow the project’s website.

Interesting but not sure how to use this

Mostly for cloud monitoring.

free-for.dev

amazingly comprehensive

Not really sure what this is for…

TL;DR

- Real time push notifications on click

- Custom URL slugs

- Custom domain support

- Editable destination urls

- Support for QR codes that notify on scan

- Slack message support with API

not sure why someone would like to get spammed. Okay someone said using this to check your AMA will be useful.

Other use cases I’ve seen: — Getting notified when someone clicks on the link in your Instagram bio — Seeing if a co-worker actually clicked on the link you sent them — Getting an idea of where your users are located geographically — Seeing if your referral links are being shared through iMessage (we do some user agent parsing to detect this) — Sending yourself custom push notifications with the API

openCV + pytesseract

Literally just select and push, worth trying next time?

Just kinda useful to show how the different tools function. There’s so many tools that deal with just command line and they’re all visual. Hence this analogy works well.

Useful for graph generation in general.

ever curious