Zak

Ex-computer scientist who worked on applied NLP, before it was cool, at the RALI Computational Linguistics Lab. Now just a tech vagabond - Life is data

[Zak @VagabondZed]

@trq212 Feels like a deeper commentary on the human condition 😆

[Zak @VagabondZed]

Pre-Agentic era, I was disturbed by my colleagues; now, I'm getting interrupted by my agents. I don't even know who my colleagues are 🥲

[Zak @VagabondZed]

@ns123abc The guy selling you the his AI is hyping up his AI

[Zak @VagabondZed]

Never thought I’d live to see this happen

[Soumith Chintala @soumithchintala]

No More GIL!
the Python team has officially accepted the proposal.

Congrats @colesbury on his multi-year brilliant effort to remove the GIL, and a heartfelt thanks to the Python Steering Council and Core team for a thoughtful plan to make this a reality.

https://t.co/58QK2yctRD

[Zak @VagabondZed]

Blazingly fast python for #ai https://t.co/bXuBoQBb9a

[Zak @VagabondZed]

Why didn't I hear of this sooner? I'm getting excited. Develop native mobile apps with dart! #MobileApp
#developers #dev
https://t.co/nsV5G5ttUZ

[Zak @VagabondZed]

Could make life easier for some of us.
#NLProc #AI #DeepLearning
https://t.co/Ty8VSOwK4l

[Sean J. Taylor @seanjtaylor]

I'm as enthusiastic about the future of AI as (almost) anyone, but I would estimate I've created 1000X more value from careful manual analysis of a few high quality data sets than I have from all the fancy ML models I've trained combined.

[Zak @VagabondZed]

I'm excited about this... Open and decentralized, that's how the web is supposed to be.
HN thread: https://t.co/rYnCWFbFl7

#decentralized #Decentralization #communications https://t.co/phO11PB9fn

[Brendan Abolivier @BrenAbolivier]

New blog post for a new week! 🗒️

Bear with me as I natter about one of my favourite open/decentralised comms projects at the moment, @matrixdotorg, while giving you some technical insight on how it works and how to use it in your project.

https://t.co/rJVf1E4PnX

[Raymond Hettinger @raymondh]

#Python world, here's the slides from my #PyCon2018 talk, "Dataclasses: The code generator to end all code generators".

Nice looking but zipped-up read-the-docs style HTML: https://t.co/krkm4l91l0

Unattractive LaTeX PDF: https://t.co/BbfS66YKA9

[Zak @VagabondZed]

@BecomingDataSci Sometimes I like using ggplot Wich is a port of the R plotting library of the same name. Maybe pymongo if you're going to play with MongoDB. I'm not sure if someone already mentioned Jupyter.

[Gene Kogan @genekogan]

very cool work on text attribute transfer, e.g. sentiment (positive->negative), genre (humorous->romantic), etc... like pix2pix for text! https://t.co/09uGTJnVlY + code at https://t.co/6IPIHWkgl2

[Zak @VagabondZed]

There are still some spots left for anyone interested inworking with open govt data for a weekend.

#OpenGovt #DataScience #MachineLearning
https://t.co/CaW3PU7JD6

[christina @cszhu]

As a new grad who's been in the industry now for over a year - there must be something more I can do...

[Raymond Hettinger @raymondh]

#Python tip: In Python 3.7, PEP 479 stops being tolerant. If your code has a next() that raises an uncaught StopIteration inside a generator, now is the time to fix it. Just catch the StopIteration and execute a return-statement from the generator.

https://t.co/atBiExJNoJ

[Arvind Narayanan @random_walker]

Tech buzzwords explained:
AI—regression
Big data—data
Blockchain—database
Algorithm—automated decision-making
Cloud—Internet
Crypto—cryptocurrency
Dark web—Onion service
Data science—statistics done by nonstatisticians
Disruption—competition
Viral—popular
IoT—malware-ready device

[Patrick Thompson @PatrickAThompsn]

@BecomingDataSci Can we all just agree that we’re all beginners but some are less beginnery than others?

[Zak @VagabondZed]

There should be a framework to help people build JavaScript frameworks. 🤪

[Zak @VagabondZed]

This is very neat!!

This let's you play around with convolution kernels on images.
https://t.co/JbbWq9gpzd

#DeepLearning #ArtificialInteligence

[Ari Morcos @arimorcos]

Just read through the @distillpub interpretability blog post from @ch402 and others. Stunning (and fun!) visualizations, but I wonder: what did these visualizations actually teach us about these networks? What do we know now that we didn't know before? https://t.co/JICAm49Shn