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Distinguished Scientist working at the intersection of machine learning and technology infrastructure such as distributed systems, observability, control, time-series, and others.

Things I like :

#Mathematics
#ArtificialIntelligence
#AI
#MachineLearning
#ML
#Causality
#Networks
#Philosophy
#Algorithms

Twitterhttps://twitter.com/EdHenry_
GitHubhttps://github.com/edhenry
Bloghttps://edhenry.github.io
when we teach statistics/ML as a disjointed set of concepts to memorize instead of as an interconnected tapestry of related ideas, we make it so much harder for people to learn efficiently
Fall 🍁 😍

running wavenet on an FPGA at (almost) 200,000 inferences a second.

https://matpalm.com/blog/wavenet_on_fpga/

https://www.youtube.com/watch?v=-14O8rNdFyQ

brain of mat kelcey...

Every time I ship the first few releases of a project I am _never_ disappointed that I spent time learning Kubernetes and its ecosystem. Literally every time.

Having watched the Machine Learning community use social media as a massive guided search mechanism for exploring and reproducing ideas it's pretty cool to see the same happening in materials science these last few days.

Eagerly awaiting the first set of OSS furnace plans.

The hot mess theory of AI misalignment (+ an experiment!)
https://sohl-dickstein.github.io/2023/03/09/coherence.html

There are two ways an AI could be misaligned. It could monomaniacally pursue the wrong goal (supercoherence), or it could act in ways that don't pursue any consistent goal (hot mess).

The hot mess theory of AI misalignment: More intelligent agents behave less coherently

This blog is intended to be a place to share ideas and results that are too weird, incomplete, or off-topic to turn into an academic paper, but that I think may be important. Let me know what you think! Contact links to the left.

Jascha’s blog

Here is your must-read article for the day, a profile of @emilymbender, and her efforts to deflate the ridiculous hype around large language models such as ChatGPT.

It's also about the people who are behind that hype, and about what their way of thinking has the potential to do to us.

It's worth reading all the way to the end.

https://nymag.com/intelligencer/article/ai-artificial-intelligence-chatbots-emily-m-bender.html

Turns out the existence of an "alpha" wolf is a myth.

It was based on old/bad experiments, conducted when unrelated wolves were thrown together in captivity.

In actual wild wolves, packs are just families. There's no dominant alpha battling for the top spot -- and in the rare cases there is, it's an alpha *female* wolf.

Insert obvious implications for the use of this term in human societies.

https://www.scientificamerican.com/article/is-the-alpha-wolf-idea-a-myth/

Is the Alpha Wolf Idea a Myth?

The idea that wolf packs are led by a merciless dictator, or alpha wolf, comes from old studies of captive wolves. In the wild, wolf packs are simply families

Scientific American

Do you have any question about #pandas? Few core devs including myself will be answering questions in an AMA (ask me anything) session. Officially scheduled for tomorrow Thursday at 5:30pm UTC, but already open.

https://www.reddit.com/r/Python/comments/11fio85/we_are_the_developers_behind_pandas_currently/

We are the developers behind pandas, currently preparing for the 2.0 release :) AMA

Hello everyone! I'm Patrick Hoefler aka phofl and I'm one of the core team members developing and maintaining pandas...

reddit

In the US, "Black products" can be thought of as falling into one of 3 categories.

1) Made by Black people
2) Made for Black people
3) Black people are the product

Many products are a combination. Football is 2) and 3).

Violent rap is mostly 1) and 3). It's "Black" music made for the white ear. That's how a lot of white US music listeners see Black people. 🤷🏿‍♂️

Trap and dril are definitely *part* of Black music culture, but they're not even close to most of it. But that's how the world sees it.