From a couple years ago. The section dispelling dogma that’s arisen around the approach was particularly interesting (from 22:40).

Camille Fournier:

If you are (or were) a highly opinionated engineer, practicing making space for information rather than quickly jumping in and sharing your conclusions is a must for leadership growth.

Joel Spolsky:

I don’t know what the original idea of Twitter was, but it succeeded because of natural selection. In a world where the tech industry was cranking out millions of dumb little social applications, this one happens to limit messages to 140 characters and that happens to create, unintentionally, a subtlety-free indignation machine, which is addictive as heck, so this is the one that survives and thrives and becomes a huge new engine of polarization and anger.

DHH:

Creativity, progress, and impact does not yield easily or commonly to brute force.

The Case for Learned Index Structures:

Indexes are models: a B-Tree-Index can be seen as a model to map a key to the position of a record within a sorted array, a Hash-Index as a model to map a key to a position of a record within an unsorted array, and a BitMap-Index as a model to indicate if a data record exists or not. In this exploratory research paper, we start from this premise and posit that all existing index structures can be replaced with other types of models, including deep-learning models, which we term learned indexes.

…

Our initial results show, that by using neural nets we are able to outperform cache-optimized B-Trees by up to 70% in speed while saving an order-of-magnitude in memory over several real-world data sets.

Not the weather, but the climate.

He didn’t know whether to fix it or sell tickets.

I used to find it odd that these hypothetical AIs were supposed to be smart enough to solve problems that no human could, yet they were incapable of doing something most every adult has done: taking a step back and asking whether their current course of action is really a good idea. Then I realized that we are already surrounded by machines that demonstrate a complete lack of insight, we just call them corporations.

Feel the pain.

Ryan Kazanciyan:

I’ve been waiting eagerly for this episode to air — it’s my favorite of the season. As I looked through my notes, I was surprised to find that Kor and I first started working on scenes for “eps3.4_runtime-err0r.r00” as far back as January. The attacks against E Corp’s Hardware Security Modules (HSMs) are among the most complex hacks we’ve depicted on the show

Eric Normand:

Rich Hickey explained the design choices behind Clojure and made many statements about static typing along the way. I share an interesting perspective and some stories from my time as a Haskell programmer. I conclude with a design challenge for the statically typed world.

…

People often talk about a Person class representing a person. But it doesn’t. It represents information about a person. A Person type, with certain fields of given types, is a concrete choice about what information you want to keep out of all of the possible choices of what information to track about a person. An abstraction would ignore the particulars and let you store any information about a person. And while you’re at it, it might as well let you store information about anything. There’s something deeper there, which is about having a higher-order notion of data.

It was emotional.

Jamie Talbot:

Having a formal system means we can better support the growth of our engineers. We’re able to have more honest, open conversations about progress, promotions, and opportunity. While the framework is still relatively new, it is showing early promise at incentivising the kinds of behaviours we want to see in the team, and recognising the different kinds of value that people add.

We already have ideas on how to improve the framework further, and plan to continue iterating on it over time. We are releasing it publicly now, in the hope that it can help other companies that are thinking about how to grow and support their employees.

Medium’s growth framework looks well thought out and nicely structured.

A series of posts on options for creating a unified UI over disparate services.

The L16 replaces one big lens with 16 small ones and combines the images via software.

The old clustering of commodity hardware with software approach keeps on popping up in different contexts.