Pathmaker, there is no path. YOU make the path by walking. By walking, YOU make the path.

Wabi 2.0 is live! personal agents are one person, one chat. but the parts of life that matter run on more than one person Wabi is an agent you use together. you talk to it, it does stuff, builds the apps you need, and anyone can join the thread - your partner, your best friend, the preschool moms groupchat school changes pickup time → Wabi updates the family calendar, everyone sees it. a show you’d both love → Wabi finds a night that works, gets the tickets. the trip everyone keeps talking about → Wabi picks the dates, builds the itinerary, books it go start a thread with your people 👇

I think most people multi-tasking with agents could benefit from slowing down most of the stuff you're doing wont really matter- what's your P0? what would it look like if you gave it your full attention?

The moment he discovered that light is both a wave and a particle. He'll make a fine quantum physicist.

We’re committing a portion of Anthropic’s shares to the Anthropic Public Benefit Fund, a new wholly owned entity dedicated entirely to the public benefit. It will start off with 5% of our shares. For every 50% increase in the company’s value over a set baseline, we can contribute up to an extra 2%, subject to our board’s discretion. In total, this means that roughly 20% of Anthropic’s shares are committed to the public good. Our co-founders have already pledged to donate 80% of their equity, and around half our employees are donating a portion of their equity as part of a donation matching program we’ve run since our founding. In the post below, we share more details about our new fund. anthropic.com/news/public-be…

We have a new @claudeai pop-up in Tokyo opening today in partnership with Karimoku. New works by artists @daitomanabe and @spline_info created with Claude. Free and open to the public!

One of the smartest book covers of all time: The Penguin Books rerun of the The Work of Art in the Age of Mechanical Reproduction (1935) by the author Walter Benjamin. Whoever at Penguin came up with this.. I salute you 🫡

Applications are now open for two new Anthropic Fellowships. STEM Fellows (science and engineering) and Conceptual Reasoning Fellows (philosophy, cognitive science, economics, policy, and law) will spend four months at Anthropic from January 2027, working to help Claude reason well about some of the hardest problems in those fields. For more information, see the descriptions below. The application deadline is October 28. Conceptual Reasoning Fellows: job-boards.greenhouse.io/ant… STEM Fellows: job-boards.greenhouse.io/ant…

just hosted the 1st claude builder club session at lse! built a live app in a room full of non-technical builders using claude code. idea to working app in 45 mins. the key is using skills: reusable instruction sets that teach claude how to do a task well. #ClaudePartner

The Anthropic editorial team is hiring! Come work with me. job-boards.greenhouse.io/ant…

We’ve opened an office in Singapore—our fifth in the Asia-Pacific region. We’ve also signed an MOU with the Government of Singapore on AI safety and responsible adoption. You can read more about our new office here: anthropic.com/news/singapore…

Being middle class in 2026

New essay: To keep human judgment, we need AI courts. AI-generated filings are starting to overwhelm courts around the world. The most popular response I’ve heard is to fight AI with AI: If we can just give judges the right tools and training, AI will help them keep pace. But this strikes me as the worst of both worlds. Because we want human judges in the loop, we don’t get the speed and scale benefits of AI. Yet because we expect them to resolve a massive number of cases quickly, judges (or their clerks) may end up leaning on AI more than they mean to or should. This essay offers another way: a parallel AI adjudication track. An AI track — inspired by AI use in private arbitration but formally part of the court system like magistrate judges — would let courts be explicit about how human judgment is allocated. Done right, this would allow courts to process large volumes of cases while ensuring human judges devote their full attention to the cases where their judgment is needed most. Read more in @PaxMachinaMag: paxmachina.ai/to-keep-human-…

Met a kid today who taught himself AI with LLMs at 14 while barely speaking English, worked a 1yr long internship in a top AI company, flew across the world to attend a top 10 US undergrad, dropped out in 2 weeks, and has 5 ~$1M+ job offers from the top neolabs in SF at age 17. Traditional education is so dead. The young kids today are just built different.

People have zero idea what others are confessing to AI right now. - biometrics (palm lines and iris scans) - exact salary and debts - bank statements - full medical reports - symptoms they're scared to google - company's confidential files - passwords and API keys - screenshots of their partner's chats - "is my partner cheating on me?" - breakup texts before sending - selfies asking "am I ugly?" - fights with their parents - 2am therapy sessions - mistakes they still regret - insecurities they'd never tell a human

Wow. Learning is about to become so many different shades of fun! What a time to be alive honestly.

🤯

Dusting off this tweet from April because this gap in shared understanding of LLM capability is *widening*. It's now less "two groups of people speaking past each other" and more a sharp funnel. - Napkin math somewhere around 6B people (~75% of the population) have barely come in contact with LLMs at all. - Around 1-2B (~20%) are casual and infrequent users of free-tier ChatGPT-like products. This group sees derpy chatbots and treats them a bit like a better Google search, a writing aid, or etc. Maybe an agent tries to book you a flight. I have non-tech friends who (reasonably, imo) say they have not much use for it at all. Even many professionals outside of math&code are in this tier. For example, execs and many other functions spend a lot of their time talking to other people, so while they understand what is happening intellectually, it is still second-hand and a bit abstract. - Now we get to professional use of frontier-grade LLMs in math&code. Somewhere around 20M people (0.2%) see first-hand that large, complex projects that used to take them weeks/months can now be completed by agents with a prompt. Building apps, copying apps, translating apps, decompiling apps from binaries... This has all happened very quickly and recently - less than 1 year ago, I was writing code manually by hand, typing memorized computer code commands into a code editor character by character, occasionally pressing Tab to autocomplete a little chunk of code. - And finally we get to the ~5,000 people (~0.00006%) with access to frontier-grade systems internally. The external world has seen the preview. It looks like swarms of thousands of agents collaborating over weeks on software mega projects: minting zero days, running cyber attacks and defenses at machine speeds, discovering new science, advancing the frontier of mathematics. Things that would have taken top professionals in the industry years of work. Meanwhile, human review and comprehension are starting to fall behind. For example, people are still involved in the "archeology" of the OpenAI-HF incident from many months ago. Mathematicians may be poring over the 722 manuscripts on frontier mathematics for a while. The funnel is driven by a combination of factors: 1. The impact scales with ambition, problem size, and horizon. A question with a paragraph answer barely stresses the system. You need a reservoir of big, difficult problems that you really care about. This aspect drives the consumer / professional dimension of the funnel. 2. The jaggedness of the system (which I have written about a lot separately). Capability peaks in domains that are digital, verifiable and economically valuable. This is because LLM capability emerges from reinforcement learning on verifiable rewards on a curated environment mixture driven by revenue potential. This aspect primarily drives the area (e.g. math&code) dimension of the funnel. 3. Access. Free-tier, paid-tier, internal. So this is the weirdness of the moment. The general public has mostly not interacted with these systems. When they have, it looks like a derpy chatbot. The majority of professionals still see only a modest uplift. And a small sliver of professionals are experiencing the vertigo of the curve going vertical. And it is all happening at the same time.

Me when I finally lose my patience

Everything is performative to chronic underachievers.

all roads lead back to the hobbies you had as a child