For years I’ve believed in the story that after the first person ran a 4 minute mile, suddenly many other athletes found that they could too, and that the 4 minute barrier was largely psychological. Today I found this article arguing that’s a myth: https://t.co/cb2z7nuluP
— Ian Goodfellow (@goodfellow_ian) July 24, 2019
This is a great idea -- a contest for the most readable implementation of @lemire's random integer generation algorithm. https://t.co/1woE21bUYk
— Hilary Mason (@hmason) July 24, 2019
✔Assume that you do indeed need a microphone, because you do.
— Science Magazine (@sciencemagazine) July 24, 2019
✔Make eye contact with the audience members.
✔If you’ve been asked to do 15 minutes, you do 15 minutes.
Stand-up comedy has many lessons for #SciComm, @adam_ruben writes for @ScienceCareers: https://t.co/rzfnUVdKrJ
This book has the most wonderful walk-through of that fyi Code: The Hidden Language of Computer Hardware and Software https://t.co/qSJzPoV3rF
— Jeremy Howard (@jeremyphoward) July 24, 2019
Personally, I feel bad for the employees. It must be disappointing to sign up for a non-profit org that aims at doing open AI research in the public interest, only to find out a bit later than your job is now to make Azure a more attractive enterprise AI cloud than AWS & GCP
— François Chollet (@fchollet) July 24, 2019
Calling data science "AI" is like calling a crane or drill a "construction robot"
— David Robinson (@drob) July 23, 2019
Tools might make it possible for us to do remarkable, previously-impossible things, but they're still tools
I didn't know that @yeewhye writes blogs! Check this out: https://t.co/GeQVwnWC7T pic.twitter.com/R7MUTDeiem
— Adam Kosiorek (@arkosiorek) July 23, 2019
Data leakage and model cheating are hot topics this week: https://t.co/QdKNwDmTin
— Peter Skomoroch (@peteskomoroch) July 23, 2019
If a model is performing extremely well, then it might be cheating. @fiddlerlabs on detecting data leakage: https://t.co/UUYwwMxwU4
— Peter Skomoroch (@peteskomoroch) July 22, 2019
The implicit OpenAI message heard over the years:
— Smerity (@Smerity) July 22, 2019
"Think of how transformative and dangerous AGI may be. Terrifying. Trust us. Whether it's black-boxing technology, legal risk, policy initiatives, investor risk, ... - trust us with everything. We're good. No questions, sorry."
The claim is that AGI needs to be carefully and collaboratively guided into existence yet the output of almost every other existing commercial lab is more open. OpenAI runs a closed ecosystem where they primarily don't or won't trust outside of a small bubble.
— Smerity (@Smerity) July 22, 2019
Many of their blog posts and spoken positions end up influencing govt policy and public opinion on the future of AI through amplified pseudo-credibility due to "Open", "Musk founded", repeatedly hyped statements, and a sheen from their now distant non-profit good will era.
— Smerity (@Smerity) July 22, 2019
