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Founder of Platformer, a newsletter on tech platforms and the people they affect, and co-host of the Hard Fork podcast at the New York Times.

• Usesrcmnd.app

  Recall

  Their words

  its Chrome extension provides near-instant text summaries of YouTube videos. Over the past year, I’ve saved myself many hours by dumping podcasts I feel like I should listen to for work into Recall and simply skimming the summaries.

  platformer.news

AI researcher at OpenAI; built the poker systems Libratus and Pluribus and the Diplomacy agent Cicero, and works on reasoning models.

• Our readingkorrents.com

  Extra thinking time cannot help with factual recall: a model that does not know a date will not know it after a week either.

  Their words

  if you ask a person when was Abraham Lincoln born and they don't know the date. They could sit there, they could think about it for a week, if they if they don't have access to Wikipedia or something, they're not going to be able to do better answering that question if they thought about it for a week compared to 5 seconds. Same with the model.

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Austrian developer. Created the libGDX game framework, and more recently the pi coding agent, which moved with them to Earendil — Armin Ronacher's company — in April 2026. Writes at mariozechner.at.

• Our readingkorrents.com

  Agentic code search has recall that falls as a codebase grows, so the agent does not find the code it needs -- and which search tool you give it barely matters.

  Their words

  You can give it a Bash tool so it can ripgrep its way through the codebase. You can give it some queryable codebase index, an LSP server, a vector database. In the end it doesn't matter much. The bigger the codebase, the lower the recall. Low recall means that your agent will, in fact, not find all the code it needs to do a good job.

  Thoughts on slowing the fuck downmariozechner.at

Data scientist at Our World in Data and author of Not the End of the World. Writes By the Numbers, working through energy and climate questions with the numbers in front of them, and revising in public when they say something unexpected.

• Our readingkorrents.com

  People are optimistic about their own lives and pessimistic about the world, because they judge their life on everything and the world on the last few headlines.

  Their words

  When someone is asked to reflect on their own life, they draw on a wide range of experiences. When people are asked about “the world”, they recall a very small number of recent events (the availability bias).

  sustainabilitybynumbers.com

Writer of kottke.org, one of the oldest blogs on the web, published since 1998 and supported by its members. He writes about art, technology, science, design and visual culture.

• Mixed onrcmnd.app

  Total Recall

  Their words

  Total Recall. First time! Maybe a little too Verhoeven/B-movie for me. (C+)

  kottke.org

Emeritus professor of war studies at King's College London; wrote Strategy: A History and Command, and writes about the wars in Ukraine and Gaza as they happen.

• Our readingkorrents.com

  Putin set out to demilitarise Ukraine and has achieved the opposite.

  Russia

  Their words

  Recall that one of Putin’s objectives in 2022 was to ‘demilitarise’ Ukraine. He has achieved the opposite.

  samf.substack.com

Co-founder and CEO of Perplexity, an AI answer engine; previously a research scientist at OpenAI and a PhD student at UC Berkeley.

• Our readingkorrents.com

  Once a language model reads the results, search can trade precision for recall, because the model does not care that the right link came ninth.

  LLMsGoogle

  Their words

  In Google, even though we call it 10 blue links, you get annoyed if you don’t even have the right link in the first three or four. The eye is so tuned to getting it right. LLMs are fine. You get the right link maybe in the 10th or ninth. You feed it in the model. It can still know that that was more relevant than the first.

  youtube.com

Neuroscientist at UC Davis; studies memory and wrote Why We Remember.

• Our readingkorrents.com

  Spaced recall works by stripping a memory of the time and place it happened, which is why the memories you revisit most feel like facts you read rather than things you lived.

  Their words

  So if you remember this information in different times in different places, it’s more accessible at different times in different places because it’s not overfitted in an AI way of thinking about things. It’s not overfitted to one particular context. But that’s also why the memories that we call upon the most also feel like they’re just things that we read about almost.

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