What public figures publish and believe, in their own words.
About this feed
Highlights: posts that did unusually well for the person who wrote them, everything they published at length, each release and new project, and every belief — at most two a day from anyone. Day by day, newest day first; within a day, the people with the most beliefs on this site come first. Nothing else orders it. Show everything instead.
The quoted blocks are what people actually said; a beneath one is the belief those words support, in korrents' wording. Nobody here wrote their own page.
Top people are the people in this feed with the most beliefs on this site, then the most here. Choose an area and the row leads with the people whose beliefs are about it; tap a face for their feed.
Top people in AI
Showing Profile →
Hiding
Hiding
17 July 2020
1 June 2020
-
Recommendsrcmnd.app
Welch LabsTheir words
this channel is full of high production quality and well-written videos. There are also several series on machine learning, the topics underlying self-driving cars, so this is certainly one of the more applied math channels out there.
28 May 2020
-
Their words
Here we show that scaling up language models greatly improves task-agnostic, few-shot performance, sometimes even reaching competitiveness with prior state-of-the-art fine-tuning approaches.
7 February 2020
-
Lovedrcmnd.app
Gödel Escher BachTheir words
This book stretched my mind more than almost any other book I’ve read. It’s tough at parts, it’s long, but you’ll come out of it thinking about brains, minds, intelligence, and AI in an entirely new way.
4 February 2020
-
Their words
As generative drug analoging grows in importance, it's going to be crucial for people to make the entire training set available in detail when such work is published.
30 January 2020
-
Usesrcmnd.app
ChromeTheir words
My browser of choice is Chrome, mainly because I use Google's tools (Gmail, Docs, Sheets, and so on) on a daily basis.
10 December 2019
-
Usesrcmnd.app
Google ColabTheir words
spending an increasing amount of my free time working with tools like Google Colab, Runway ML, TensorFlow, and Hugging Face to play around with machine-generated text, audio, imagery, and video.
5 November 2019
-
Their words
We argue that ARC can be used to measure a human-like form of general fluid intelligence and that it enables fair general intelligence comparisons between AI systems and humans.
15 October 2019
-
Dislikedrcmnd.app
Microsoft WordTheir words
When I'm writing articles etc that need to be shared with an editor, I typically write in Microsoft Word. I hate all word processing software, and anyone who insists that Google Docs is so much better than Word is a liar.
7 October 2019
-
Lovedrcmnd.app
The AI Does Not Hate You: Superintelligence, Rationality, and the Race to Save the WorldTheir words
Briefly, I think the book is a triumph.
16 September 2019
-
Recommendsrcmnd.app
The Creativity Code: Art and Innovation in the Age of AITheir words
It's increasingly coming to the fore and Marcus deals with it in a really interesting way. He takes us through lots of different areas where AI is being used to mimic creativity, which some people would argue is the essence of being human. It's interesting to see how close to being human AI is getting.
22 August 2019
-
Lovedrcmnd.app
Google Meet speakermicTheir words
so we use Google Meet speakermics, which allow for full-duplex conversations, which makes conversation far more organic. That device turned Google Meet from something exhausting to something really good.
-
Usesrcmnd.app
Google Pixel 3Their words
My phone is a maxed-out Google Pixel 3, which I use for phone things: Email, reading, web browsing, messaging, music, and taking pictures
20 June 2019
-
Likedrcmnd.app
PDF ExpertTheir words
In terms of iOS apps, I use PDF Expert, which is a great PDF reader and annotator (using Apple Pencil), Notability as a virtual whiteboard (again with Apple Pencil), Google Docs for document editing, Google Calendar, and Gmail.
28 May 2019
-
Recommendsaffiliate linkrcmnd.app
Trillion Dollar Coach: The Leadership Playbook of Silicon Valley's Bill CampbellTheir words
Eric Schmidt, Jonathan Rosenberg and Alan Eagle, Trillion Dollar Coach: The Leadership Playbook of Silicon Valley’s Bill Campbell: I understood Bill Campbell was a behind-the-scenes guy in Silicon Valley, but I had no idea just how influential he was. Bill Gurley of Benchmark noted “I would argue that Bill has had a bigger impact on Silicon Valley than any other single person simply because his reach was so amazingly wide.” That’s a story I want to read.
21 May 2019
-
Usesrcmnd.app
Visual Studio CodeTheir words
For coding, I use Visual Studio Code. I use Git for source control, Photoshop for 2D art, Audition for audio editing, Premiere for video editing, and our team coordinates on Google Docs and Skype.
4 May 2019
25 April 2019
27 February 2019
23 January 2019
-
Their words
What we are actually listening to is human limitation and the audacity to transcend it. Artificial Intelligence, for all its unlimited potential, simply doesn’t have this capacity.
19 October 2018
-
Likedrcmnd.app
Google DocsTheir words
Now, almost everything happens in Google Docs, except for when I write straight into the Axios or Substack CMS. (Both of which are lovely, WYSIWYG, very simple and easy to use.)
11 October 2018
From one piece BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding 2 beliefs, in the piece's order there
-
Their words
Such restrictions are sub-optimal for sentence-level tasks, and could be very harmful when applying fine-tuning based approaches to token-level tasks such as question answering, where it is crucial to incorporate context from both directions.
-
korrents.com
Current techniques restrict pre-trained representation power because standard language models are unidirectional.Their words
We argue that current techniques restrict the power of the pre-trained representations, especially for the fine-tuning approaches. The major limitation is that standard language models are unidirectional, and this limits the choice of architectures that can be used during pre-training.
From one piece BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding 2 beliefs, in the piece's order there
-
korrents.com
Current techniques restrict pre-trained representation power because standard language models are unidirectional.Their words
We argue that current techniques restrict the power of the pre-trained representations, especially for the fine-tuning approaches. The major limitation is that standard language models are unidirectional, and this limits the choice of architectures that can be used during pre-training.
-
Their words
Such restrictions are sub-optimal for sentence-level tasks, and could be very harmful when applying fine-tuning based approaches to token-level tasks such as question answering, where it is crucial to incorporate context from both directions.
From one piece BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding 2 beliefs, in the piece's order there
-
Their words
Such restrictions are sub-optimal for sentence-level tasks, and could be very harmful when applying fine-tuning based approaches to token-level tasks such as question answering, where it is crucial to incorporate context from both directions.
-
korrents.com
Current techniques restrict pre-trained representation power because standard language models are unidirectional.Their words
We argue that current techniques restrict the power of the pre-trained representations, especially for the fine-tuning approaches. The major limitation is that standard language models are unidirectional, and this limits the choice of architectures that can be used during pre-training.
From one piece BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding 2 beliefs, in the piece's order there
-
korrents.com
Current techniques restrict pre-trained representation power because standard language models are unidirectional.Their words
We argue that current techniques restrict the power of the pre-trained representations, especially for the fine-tuning approaches. The major limitation is that standard language models are unidirectional, and this limits the choice of architectures that can be used during pre-training.
-
Their words
Such restrictions are sub-optimal for sentence-level tasks, and could be very harmful when applying fine-tuning based approaches to token-level tasks such as question answering, where it is crucial to incorporate context from both directions.
9 August 2018
-
Recommendsrcmnd.app
The Algorithm Design ManualTheir words
To me, this book is an illustration of the power of names. Today, in the era of Google, if you know the name of something, you can find out about it with a simple search. But if you don't know of what you're looking for, it suddenly becomes much harder to find it. Having in the back of your head the names of common algorithms that help you solve problems is really powerful.
9 July 2018
3 April 2018
-
Usesrcmnd.app
Google ChromeTheir words
Google Chrome: What's a Web Developer without Google Chrome browser? The first thing I do with Safari is to get Google Chrome and install the latest version.
9 March 2018
-
Their words
Neural network pruning techniques can reduce the parameter counts of trained networks by over 90%, decreasing storage requirements and improving computational performance of inference without compromising accuracy.
-
Their words
Neural network pruning techniques can reduce the parameter counts of trained networks by over 90%, decreasing storage requirements and improving computational performance of inference without compromising accuracy.
7 March 2018
24 February 2018
From one piece Takeoff speeds 4 beliefs, in the piece's order there
-
Their words
I currently think a slow takeoff is significantly more likely.
-
Their words
Things are usually preceded by worse versions, even in cases where there are weak reasons to expect a discontinuous jump.
-
Their words
In particular, this means that incredibly powerful AI will emerge in a world where crazy stuff is already happening (and probably everyone is already freaking out).
+ 1 more
-
Their words
The main disagreement is not about what will happen once we have a superintelligent AI, it’s about what will happen before we have a superintelligent AI.
15 November 2017
24 October 2017
From one piece Why superintelligence is a threat that should be taken seriously 2 beliefs, in the piece's order there
-
Their words
One of the most commonly emphasized points in the AI safety literature is that one must never anthropomorphize AI—that is, don’t project human mental properties onto artificially intelligent systems.
-
Their words
A superintelligence whose goal system is even slightly misaligned with ours could, being far more powerful than any human or human institution, bring about human extinction for the very same reason that construction workers routinely slaughter large populations of ants.
22 June 2017
-
Usesrcmnd.app
REAPERTheir words
I use a ton of software. Here's a list: Xcode, Pages, Numbers, Keynote, Sublime Text, Corona SDK, Unity, Final Cut Pro, Versions, Perforce, VMWare Fusion, Messages, REAPER, Transmit, Coda, Dropbox, Skype, Dashlane, Slack, Terminal, Assembla, Airmail, Spark Mail, Google Docs, Pixelmator, Pixen, TexturePacker, Particle Designer, Tiled, iTunes + Music + Match, Screenium, Steam, Twitter, Facebook.
-
Usesrcmnd.app
UnityTheir words
I use a ton of software. Here's a list: Xcode, Pages, Numbers, Keynote, Sublime Text, Corona SDK, Unity, Final Cut Pro, Versions, Perforce, VMWare Fusion, Messages, REAPER, Transmit, Coda, Dropbox, Skype, Dashlane, Slack, Terminal, Assembla, Airmail, Spark Mail, Google Docs, Pixelmator, Pixen, TexturePacker, Particle Designer, Tiled, iTunes + Music + Match, Screenium, Steam, Twitter, Facebook.
28 February 2017
-
Usesrcmnd.app
emacsTheir words
For writing code, I use emacs and Google's internal distributed build system (a version of which was open sourced as Bazel) and our version control system
-
Usesrcmnd.app
LaTeXTheir words
For technical papers, I and my coauthors usually use LaTeX. For giving presentations, I almost exclusively use Google Slides.
-
Usestheir ownrcmnd.app
Google SlidesTheir words
For giving presentations, I almost exclusively use Google Slides.
8 January 2017
-
Recommendsrcmnd.app
Rationality: From AI to ZombiesTheir words
luckily I was aided by a few books that I recommend to anyone who wants to come to terms with this
1 October 2016
-
Mixed onaffiliate linkrcmnd.app
Site Reliability EngineeringTheir words
A description of how Google handles operations.
10 December 2015
-
korrents.com
Depth is not free: past a point, deeper neural networks are harder to train rather than simply better.Their words
Deeper neural networks are more difficult to train.
-
korrents.com
Depth is not free: past a point, deeper neural networks are harder to train rather than simply better.Their words
Deeper neural networks are more difficult to train.
14 November 2015
Nothing matches.
What is a korrent?
A korrent is a belief a person has stated in their own words: one sentence stating the claim, backed by a quote and a source, kept at korrents.com.
Under a name here, the quoted block is what they actually said. The korrent beneath it is the claim those words support, in korrents' wording — tap it to see the record, its source, and who else holds it.
Nobody here wrote their own korrents. They are compiled from public statements, and a person can change their mind, which is recorded too.
About the English under a post
Some people here publish in a language other than English. Where they do, this site shows a machine translation beneath the post, in this typeface — the site's own, not theirs.
The post itself is never changed, moved or hidden: what is set in the serif above is exactly what the person published, and it is what to quote them on. A translation can be wrong in ways that matter, especially about tone.
Only the post's own words are translated. A quoted post, a linked article and a belief on korrents.com are left in their original language.