Time Horizons

Season 3: We are back!  Shrey sites: https://shreyj.com/ Sam Altman Tweet: https://twitter.com/sama/status/1484950632331034625 Time Horizons Website: https://www.timehorizons.org/​ Time Horizons Twitter: https://twitter.com/time_horizons​ Arthur's Twitter: https://twitter.com/arthurallshire​ Shrey's Twitter: https://twitter.com/shreydjain13

In which Shrey and Arthur discuss Pragmatism vs Perfectionism.

In which Arthur and Shrey talk to Ben Reinhardt, who is working on creating a Private ARPA.   PARPA - 2 pager http://benjaminreinhardt.com/parpa-2-pager.pdf PARPA - Full essay https://benjaminreinhardt.com/parpa Why does DARPA work? https://benjaminreinhardt.com/wddw Ben's Twitter: https://twitter.com/ben_reinhardt Arthur's Twitter: https://twitter.com/arthurallshire​  Shrey's Twitter: https://twitter.com/shreydjain13 Time Horizons Website: https://www.timehorizons.org/​ Time Horizons Twitter: https://twitter.com/time_horizons​

Episode on YouTube with video Sam's Website: https://skriegman.github.io/ Sam's Twitter: https://twitter.com/Kriegmerica Sam has great visualizations on his YouTube channel as well: https://www.youtube.com/channel/UC7_vFumHEAKCDGHLvZNfqig Time Horizons Website: https://www.timehorizons.org/ Time Horizons Twitter: https://twitter.com/time_horizons​ Arthur's Twitter: https://twitter.com/arthurallshire​ Shrey's Twitter: https://twitter.com/shreydjain13

Hannah Kerner is an Assistant Research Professor at the UMD, College Park. Her research focuses on developing machine learning solutions for remote sensing applications in agricultural monitoring, food security, and Earth/planetary science. She is also the Machine Learning Lead and U.S. Domestic Co-Lead for NASA Harvest, NASA’s agriculture and food security initiative run out of the University of Maryland. Links Episode on YouTube with Video Hannah's Website: https://hannah-rae.github.io/ Hannah's Twitter: https://twitter.com/hannah_kerner NASA Harvest: https://nasaharvest.org Arthur's Twitter: https://twitter.com/arthurallshire​ Shrey's Twitter: https://twitter.com/shreydjain13  

Shreya's Website: https://www.shreya-shankar.com/ Shreya's Twitter: https://twitter.com/sh_reya Time Horizons Website: https://www.timehorizons.org/​ Time Horizons Twitter: https://twitter.com/time_horizons​ Arthur Allshire Twitter: https://twitter.com/arthurallshire​ Shrey Jain Twitter: https://twitter.com/shreydjain13  

This is the first episode of Time Horizons, the continuation of our previous podcast, 25 Unread, in an interview format. Bhairav Mehta, PhD student at MIT, talks to Arthur and Shrey about his thoughts on education and reform in Machine Learning. Bhairav Mehta: https://bhairavmehta95.github.io/ Reform in machine learning workshop: https://rethinkingmlpapers.github.io/ Time Horizons Website: https://www.timehorizons.org/ Time Horizons Twitter: https://twitter.com/home Arthur Allshire Twitter: https://twitter.com/arthurallshire Shrey Jain Twitter: https://twitter.com/shreydjain13 Watch this episode on YouTube.

Shrey and Arthur talk about: their latest thoughts on the coronavirus and testing, balance vs pushing in your work life, the value of content subscriptions, and whether Arthur should pursue biomedical engineering(?!).   Links: Economist Article (Image) Tyler Cowen on seeing personal benefits over long time horizons Stratechery Anki Engineering Science

Arthur (@arthurallshire), Shrey (@shreydjain13), and special guest Martin Staadecker talk about education, productivity, and perfectionism.

In which Arthur and Shrey talk about conformism and growth.

Arthur (@arthurallshire), Shrey (@shreydjain13), and special guest Ben (@BenAgro4) talk about habits, routines, and note-taking. Links: Ben's insane spreadsheet tmux Trello Andy Matuschak's Notes Join our Slack!

Links Patrick Collison’s Questions Tesla autopilot problems SAE Classification System Richard Murray on safety in Machine Learning systems Tesla thinking a Burger King sign is a stop sign Rand paper analysing miles needed to drive to achieve self-driving safety Convolutional neural networks Recurrent neural networks Reinforcement learning Ben Recht’s excellent technical blog Arthur’s blog about the future of self-driving Why books don’t work - Andy Matuschak

Arthur (@arthurallshire) and Shrey (@shreydjain13) discuss the tools they use to get work done. Links: Mendeley LiquidText Notion Chris Olah Blog Argmin Blog RoamResearch Strava TrainingPeaks Signal Hey How can we develop transformative tools for thought? What you can't say