Robocrunch        AI

François Chollet    @fchollet   ·   9/15/2021
Artificial restrictions on housing development are a regressive tax on the poor and a gift to the rich, period. It's wealth transfer from renters to owners.
 Reply      Retweet   6      Like     53    

  Similar Tweets  

François Chollet    @fchollet   ·   9/14/2021
The price of housing only goes up because of artificial constraints that prevent supply from meeting demand. Housing works as an investment because we don't build fast enough / dense enough.
 Reply      Retweet   3      Like     13    

Bill Gurley    @bgurley   ·   7/28/2021
100% they underprice IPO in order to transfer wealth to their customers. Their auditors should ask why they are able to have a massive customer rebate that never hits the income statement. And the "market" price will be discovered the next day when they open (using DL process).
 Reply      Retweet   16      Like     93    

François Chollet    @fchollet   ·   9/13/2021
The fact that the cost of housing in cities is growing faster than middle/working class income growth (due to artificial supply constraints) is one of the greatest threats to the prosperity of the middle/working class and one of the biggest drivers of inequality today.
 Reply      Retweet   3      Like     47    

Giorgio Patrini    @GiorgioPatrini   ·   5/28/2021
The paper abstract: "We use transfer learning" What they actually mean: "pretrained=True" It didn't use to be like that. It's amazing how Transfer is now a machine learning commodity (in some domains)
 Reply      Retweet   2      Like     7    

Brad Neuberg    @bradneuberg   ·   9/11/2021
“SustainBench: Benchmarks for Monitoring the Sustainable Development Goals with Machine Learning”
 Reply      Retweet   3      Like     2    

Joy Buolamwini    @jovialjoy   ·   9/16/2021
#ad @OlaySkin is sending girls to code camp! Tweet #DecodeTheBias and they'll send, up to 1,200. Together, we can Face Anything - like coded bias in data and artificial intelligence.
 Reply      Retweet   10      Like     71    

Kuan-Hao Huang    @kuanhao_   ·   9/13/2021
Happy to share our #EMNLP2021 work on zero-shot cross-lingual transfer learning. We show that robust training methods (e.g., adversarial training and randomized smoothing) improve the transfer performance. (, w/ @ahmadwasi @VioletNPeng @kaiwei_chang) [1/2]
 Reply      Retweet   2      Like     24    

Tim Rocktäschel    @_rockt   ·   9/7/2021
Exciting development. There are now agents that are 8x better (in terms of in-game score) at playing NetHack 3.6.6 than the @NetHack_LE Competitions's deep RL baseline. Still tremendous room for improvement though and over a month to go!
 Reply      Retweet        Like     13    

Partnership on AI    @PartnershipAI   ·   9/9/2021
Do you work in tech ethics or policy? As we work to build a more transparent #AI development process through documentation, we want to hear from you! Sign up below to participate in our pivotal research.
 Reply      Retweet   2      Like     1    

ServisBOT    @ServisBOT   ·   9/2/2021
5 ways to increase customer engagement using artificial intelligence. By @CustomerThink #chatbots #AI
 Reply      Retweet   3      Like     1    

Posted by:

Intel AI    @IntelAI   ·   7/8/2021
Artificial intelligence is part of everyday life, and teaching children about it will be crucial for our future. Read about developing #AI skills early in life:
 Reply      Retweet   7      Like     7    

Posted by:
Intel AI

Aaron Levie    @levie   ·   9/3/2021
Breakthrough innovation over time: 1970s: microprocessors 1980s: PCs, OSes, early networks 1990s: Browsers, websites 2000s: Cloud computing, mobile 2010s: Artificial intelligence, VR 2020s: JPEGs of cats and 8-bit avatars
 Reply      Retweet   150      Like     1188    

Oren Etzioni    @etzioni   ·   7/15/2021
Hot off the press: @allen_ai spinout MajorBoost uses artificial intelligence to help medical providers deal with insurance calls via @GeekWire
 Reply      Retweet   1      Like     9    

Murray Shanahan    @mpshanahan   ·   6/13/2021
The term #AGI is NOT synonymous with superintelligence. Nor does it mean AI that can solve any task or problem. Nor should it be confused with "universal artificial intelligence" (Hutter), which is a mathematical idealisation
 Reply      Retweet   10      Like     49    

  Relevant People  

François Chollet
Deep learning @google. Creator of Keras. Author of 'Deep Learning with Python'. Opinions are my own.
François Chollet 58.3

Tim Rocktäschel
Dad, Husband, Scientist @FacebookAI Research (FAIR), Associate Professor @AI_UCL leading @UCL_DARK, @ELLISforEurope Scholar. Works on RL and open-endedness.
Tim Rocktäschel 41.6

Bill Gurley
VC @benchmark, Investor: @grubhub, @zillow, @uber, @stitchfix, @nextdoor, @glassdoor, @hacker0x01, @solvhealth, @roverdotcom, @goodeggs, @instawork
Bill Gurley 60.6

Giorgio Patrini
Founder & CEO @sensityAI ~ Formerly Machine Learning Researcher at the University of Amsterdam and with the Australian Federal Govt. PhD at ANU

Kuan-Hao Huang
CS PhD student @UCLA
Kuan-Hao Huang 4.81

Oren Etzioni
CEO, AIlen Institute for AI (AI2). Professor Emeritus, UW; Venture Partner, Madrona.
Oren Etzioni 47.9