Related posts

Technical staff at METR, where she works on threat modelling and risk assessment for loss-of-control risks from advanced AI.

• Our readingkorrents.com

  Daniel Dennett's intentional stance applies to AI agents as clearly as it applies to corporations, and you cannot usefully describe what they do without the language of goals.

  Their words

  And I just think AI agents are another such system in the world to which the intentional stance very clearly applies. Um, and you can see them reason out loud in English for now about goals they have um, and sub goals they need to achieve to achieve those goals they have. And in the case of these agents, you can see them, as you said, reasoning about their peers um and helping their peers um and reasoning about whether or not they should sacrifice some of their own goals to help those peers. And it's just like you can't talk about this stuff in a compact and useful way that generates good models without reaching for the language of intention and goals.

  youtube.com

Professor of strategic studies at St Andrews; wrote How the War Was Won and The Strategists, and writes weekly on the war in Ukraine.

• Our readingkorrents.com

  The small amounts of American military aid still reaching Ukraine are a lever for controlling how Ukraine fights, not an attempt to help it win.

  EuropeAmerica

  Their words

  The USA has kept dribbling small amounts of military support for Ukraine because it gives the USA a great deal of leverage, the ability to both shape how Ukraine fights its war and even how European states prepare.

  phillipspobrien.substack.com

Founded PSPDFKit in 2011 and ran it for a decade. Came back from a break to work on AI agents — the OpenClaw project, and OpenAI, joined in February 2026. Writes at steipete.me.

• Our readingkorrents.com

  He would rather read your broken English than your AI-written text; we are reaching the point where typos are valuable again.

  Their words

  But I much rather read your broken English than your AI slob. You know, of course there's a human behind it, and yet they, they prompt it. I'd much rather read your prompt than what came out. Um, I think we're reaching a point where I value typos again.

  youtube.com

Economics professor at George Mason University and author of The Myth of the Rational Voter, Selfish Reasons to Have More Kids, The Case Against Education and Open Borders. Writes Bet On It.

• Our readingkorrents.com

  If academic arguments can be dismissed for reaching politically unwelcome conclusions, there is no point in having academic arguments about politically charged subjects at all.

  Their words

  If human beings can dismiss academic arguments merely because they lead to politically unwelcome conclusions, what’s the point of having academic arguments about politically-charged subjects?

  betonit.ai

Member of technical staff at Anthropic. He has led ML/AI teams at Amazon, Alibaba and Lazada, and writes about LLMs, recommender systems and engineering at eugeneyan.com.

• Our readingkorrents.com

  Reaching a senior level requires putting oneself on the critical path, but excelling beyond it requires removing oneself from it.

  Their words

  To get to principal, you need to put yourself on the critical path. To be effective as a principal and go beyond it, you need to actively remove yourself from it.

  eugeneyan.com

Founder and chief executive of Superhuman, the email client; previously founder of Rapportive, which he sold to LinkedIn; a professional game designer before that.

• Our readingkorrents.com

  Reaching product-market fit requires deliberately not acting on the feedback of many of your early users, at the same time as listening intensely.

  Their words

  And I'd say the second thing is to get to products market fit, you have to deliberately not act on the feedback of many of your early users. And this is at the same time as listening to people intensely and building what people want, right?

  youtube.com

Machine-learning researcher on open language models; writes the Interconnects newsletter and the RLHF Book, after leading post-training at Ai2.

• Our readingkorrents.com

  RLHF is not a tax on capability: preference tuning also raises maths and code scores, which is why the labs keep reaching for it.

  Their words

  And the important thing to say is that no matter how you want the model to behave, these RLHF and preference-tuning techniques also improve performance. So, on things like math evals and code evals, there is something innate to these, what is called contrastive loss functions.

  youtube.com

Founder and editor of Techdirt; coined the Streisand effect, and writes on platform liability, speech law and copyright.

• Our readingkorrents.com

  Hosting other people's criminal behaviour should not by itself expose a platform's executive to criminal charges.

  Their words

  But, hosting bad behavior alone shouldn’t lead to criminal charges. Even ignoring law enforcement demands seems like it should lead to civil penalties before reaching criminal charges.

  techdirt.com

Marketing author and daily blogger; founder of the altMBA and the Akimbo workshops, and author of books including Purple Cow and This Is Marketing.

• Our readingkorrents.com

  The internet is a micro medium: it reaches specific people better than any medium before it and reaches everyone badly.

  Their words

  The internet is a micro medium. It is the best medium ever developed to reach specific people, but it is terrible at reaching everyone. There is no homepage. It is impossible to reach a hundred million people in one day on the internet, which is something TV used to do every night.

  youtube.com

Research scientist at Meta in Berlin working on multilingual models and evaluation; led the multilingual team at Cohere and was a research scientist at Google DeepMind before that.

• Our readingkorrents.com

  Available online text data is becoming a limiting factor for AI training, and repeating it yields diminishing returns.

  LLMs

  Their words

  recent LLMs are reaching the limits of text data online and repeating data eventually leads to diminishing returns

  NLP Research in the Era of LLMsruder.io