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21 September
Statistician and software engineer who writes R packages for reproducible research and publishing, including knitr, bookdown and blogdown.
Three New Debugging Aids in knitr Note This is one of a few posts on new features from a recent four-day knitr triage sprint; see that post for the full details of the sprint. When a document fails to knit, the worst part isn’t the error—it&…
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Tangling Gets Smarter in knitr Note This is one of a few posts on new features from a recent four-day knitr triage sprint; see that post for the full details of the sprint. Tangle is the old Literate Programming (e.g., WEB/Sweave) term for pulling th…
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spin() Improvements in knitr Note This is one of a few posts on new features from a recent four-day knitr triage sprint; see that post for the full details of the sprint. The concept of spin() is like the reverse of purl(). Instead of pulling code…
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20 September
Statistician and software engineer who writes R packages for reproducible research and publishing, including knitr, bookdown and blogdown.
Co-creator of Django and creator of Datasette; writes daily at simonwillison.net.
16 September
Writes The Diff, a newsletter on inflections in finance and tech read by hedge fund managers, founders and VCs. Previously worked in finance at SAC Capital/Point72.
I was in the beta test for Jev—one fun way I've used it is as a kind of router that decides whether to process some chunk of text using deterministic rules, or to spend on a more expensive model. You can basically do cost discrimination instead of price discrimination! Quoting @CompleteSkeptic After co-inventing ChatGPT, I kept asking myself: why have superhuman chat models not led to AGI? I’ve spent the last 2 years in stealth building a new way to train models (RLCD), and a new type of frontier AI model that we are releasing today: Jev • 20-200x faster • 40-400x cheaper (w/ output toke… Related
Statistician and software engineer who writes R packages for reproducible research and publishing, including knitr, bookdown and blogdown.
11 September
Machine learning engineer and consultant focused on RAG and retrieval systems. He writes about applied AI engineering at jxnl.co and is the author of the instructor library.
3 September
Software entrepreneur who bootstrapped and sold FeedbackPanda and now builds Podscan; writes The Bootstrapped Founder.
First thing this morning, pre-coffee, btw, I just yapped this prompt into my Claude Code session. 20 minutes later, after running a few diagnostic SQL queries on a prod replica, a 15min+ query is now running in 375ms. Hook up your APM and error trackers, y'all. Anthropic Related
15 August
Programmer and designer who writes at tonsky.me; author of Fira Code, DataScript and AnyBar.
29 July
American senior staff engineer working on developer and user experience and open source; writes at adamdehaven.com.
10 July
Indonesian software engineer, educator and engineering manager at Zero One Group; open-source enthusiast writing at ripandis.com.
5 June
Web developer and writer; an early GitHub employee, author of speaking.io and of widely read essays on startups and product.
Every developer should volunteer for a non-profit on the side these days. There’s unlimited things to do, a magic tool for your knowledge that accomplishes things in minutes, and you learn a *ton* about a huge undervalued chunk of the world. Related
11 May
Founding member of OpenAI and former director of AI at Tesla; creator of nanoGPT and the term "vibe coding".
This works really well btw, at the end of your query ask your LLM to "structure your response as HTML", then view the generated file in your browser. I've also had some success asking the LLM to present its output as slideshows, etc. More generally, imo audio is the human-preferred input to AIs but vision (images/animations/video) is the preferred output from them. Around a ~third of our brains are a massively parallel processor dedicated to vision, it is the 10-lane superhighway of information into brain. As AI improves, I think we'll see a progression that takes advantage: 1) raw text (hard… LLMs Related
13 March
Swedish essayist who writes Escaping Flatland, a newsletter of essays on relationships, thinking, writing and homeschooling.
everything you put online is a search query Related
21 February
Machine learning engineer working on recommender systems, personalization and information retrieval. Previously worked on LLMs and LLM infrastructure at Mozilla.ai and on ML and recsys at Duo, Tumblr, Automattic and Comcast; wrote the 'What are embeddings?' text and ran the Normconf conference.
8 September 2025
Indian software developer working with React and TypeScript; writes and publishes a newsletter at sreetamdas.com.
gist: https://t.co/3YwQMEsOuj Pretty nice with Enum.chunk_every, just needed to pad the edges :) Quoting @cassidoo It's a new dawn, it's a new day, it's a new life... and it's also a new newsletter issue headed to your inbox, right now! Check out the archive and subscribe here: Related
25 February 2025
Pen name of the Canadian-American writer behind mrmoneymustache.com, a blog on frugality, early retirement and index-fund investing that has run since 2011.
Wow, have you seen the stock market lately? And by lately, I mean the past several years or more. The value of the S&P 500 index of stocks, where most of us hopefully have a good chunk of our retirement savings stashed into index funds, is up about fifty seven pe…
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12 September 2024
Writer and author of All the Wrong Moves; his newsletter covers meditation, relationships and creativity, and he co-runs a perfume line.
Their words
Now I have an answer for this query: El Dorado. The funny thing is that "rain smell" isn't what we set out to do, or even the main point of this perfume.
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sashachapin.substack.com
19 June 2024
Co-founder and CEO of Perplexity, an AI answer engine; previously a research scientist at OpenAI and a PhD student at UC Berkeley.
Google
Their words
We would rather take a more dramatic position, that the best way to actually make a dent in the search space is to not try to do what Google does, but try to do something they don’t want to do. For them to do this for every single query is a lot of money to be spent, because their search volume is so much higher.
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youtube.com
31 January 2023
Statistician at Carnegie Mellon; writes on complex systems, machine learning and inference, and has kept a books-read notebook since 2000 that is now thousands of entries long.
Their words
Mind candy: Military SF by someone who must've spent a big chunk of time in the (US?) military. The novel is good on the inter-personal dynamics of the service and especially of the small ship.
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bactra.org
1 January 2023
Machine-learning researcher; has written the Lil'Log survey posts on how a model technique works since 2017, and worked at OpenAI from 2018 to 2024, latterly leading its safety systems team.
20 July 2022
Front-end developer and writer on Svelte, Vue, CSS and WordPress; blogs at joshcollinsworth.com.
Nothing matches. Show everything
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.
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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.
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