if you are more junior in your career (or really at any point) there is great alpha in having agency, a sense of urgency, and being proactive vs. just reactive.
donât wait for your manager/someone else to âassignâ you work. look at whatâs on their plate, what the business needs, and actively work on it. people like people that work hard and make their lives easier. it benefits you in that youâre then seen as helpful, critical to the business, etc. and get promoted/get recognized, and have more opportunities given to you. high agency people are successful people!
the people that wait to do something until they are told are C players. be an A player.
3/ Iâve been lucky to learn about communication from other Xooglers.
In my first day working with @alan_warren at @OscarHealth he gave me an adage which I use to this day:
âTell me about smoke, not fireâ
That has saved my ass on many an occasion :)
2/ Say what you want about where @Google has ended up, but so much of what they got right in the early days came down to strong core fundamentals - especially w.r.t. communication.
@davegirouard taught me the importance of focus, candour, and rigour in communication
1/ There are many nuggets of wisdom from @jkeltner in this đ§”, but this one hits home.
Many squander the opportunity of autonomy because they never realise (or are taught) the importance of communicating in the round.
Glad to have learned this lesson early in my career @Upstart
The thing I had to learn the hard way: autonomy without communication isn't really autonomy. It's just operating in the dark.
The people who earn more autonomy are the ones who keep everyone around them visible into what they're seeing, doing, and where they're heading.
Today, we're launching shift. We're starting by cleaning your apartment in New York City, for free.
Here's how it works. Book a shift cleaning. A vetted shift operator comes to your home wearing one of our devices. They clean. They leave. You pay nothing.
In exchange, we record the cleaning. Robotics is being built on data about how people do daily tasks, and the value of that recording is what funds the service. Anything personal in it is anonymized before the recording is processed.
By now, you have heard about the shift to AI more times than you can count. About the shift toward you, the part where you actually feel it, you have heard almost nothing. Shift is what starts to make it concrete, in specific cities, with specific services.
Today, cleaning in New York. Soon, handymen, repairs, and errands across the globe. And this is just one side of shift, with more on the way.
Comment âshiftâ and weâll send you an early access link.
The biggest bullshit move by DHS in its history. So everyone on a O1 or H1B visa would have to stop working legally in the US, go back to their country and wait for years of backlog? This includes top scientists in our universities, founders of billion dollar companies (at least 3 just in our portfolio would be affected by the way). And if we look at individual countries it becomes even more bs. Indians would have to wait decades. Russians donât have anywhere to go (there is no US embassy in Russia, hello?).
This is the worst imaginable way to disrupt important work for the country and pretend youâre fighting some loophole.
Oscar Health is proud to debut at #412 on @TIME's Worldâs Most Impactful Companies list.
The list recognizes companies that work to address high-priority global challenges as part of their core business.
Oscar has been on a mission to make a healthier life accessible and affordable for all. We have spent over a decade challenging the status quo, using our full-stack technology platform, innovative plan designs, and investment in funding mechanisms like Individual Coverage Health Reimbursement Arrangements (ICHRA) to reorient healthcare around the individual.
Our work is important because cost, accessibility, and experience are still major barriers to care for millions of Americans. As healthcare becomes more expensive and complex, we are solving for all three to create a system that puts consumers in control of their healthcare.
Weâre grateful to TIME for recognizing our work, and proud of the team whose dedication has brought us here.
Check out the full list: https://t.co/Ujq3sTp5G1
My biggest takeaways from Claude Code's Head of Product @_catwu:
1. Anthropicâs product development timelines have gone from six months to one month, sometimes one week, sometimes one day. Part of this acceleration is access to the latest models (i.e. Mythos). Another is shipping new products into âresearch preview,â making clear it's early, experimental, and might not be supported forever. Another is an evergreen "launch room "where engineers post ready features and marketing turns around announcements the next day.
2. The PM role is shifting from coordinating multi-month roadmaps to enabling teams to ship daily. As Cat puts it, âThere should be less emphasis on making sure you are aligning your multi-quarter roadmaps with your partner teams and more emphasis on, OK, how can we figure out the fastest way to get something out the door?â
3. The most efficient shipping unit is an engineer with great product taste. On Catâs team, many engineers go end-to-endâfrom seeing user feedback on Twitter to shipping a product by the end of the weekâwithout a PM involved. Also, almost all the PMs on the Claude Code team have either been engineers or ship code themselves, and the designers have been front-end engineers. The roles are merging, and the most valuable skill is product taste, not job title.
4. Build products that are on the edge of working. Claude Codeâs code review product failed multiple times because earlier models werenât accurate enough. But because the prototype was already built, they could swap in Opus 4.5 and 4.6 and immediately test whether the gap was closed. Teams that wait for the model to be ready will always be a cycle behind.
5. The most underrated skill for building AI products is asking the model to introspect on its own mistakes. Cat regularly asks the model why it made an unexpected decision. The model will explain that something in the system prompt was confusing, or that it delegated verification to a subagent that didnât check its work. This reveals what misled the model so the team can fix the harness.
6. Every model release forces their team to revisit existing products and audit their system prompt to remove features the model no longer needs. Claude Codeâs to-do list was a crutch for earlier models that couldnât track their own work. With Opus 4, the model handles it natively. Features built as scaffolding for weaker models become debt when the model catches upâso the team actively strips them.
7. Anthropic employees build custom internal tools instead of buying SaaS products. A sales team member built a web app that pulls from Salesforce, Gong, and call notes to auto-customize pitch decksâwork that used to take 20 to 30 minutes now takes seconds. Their core stack is Claude Code, Cowork, and Slack. No Notion, no Linear, no Figma.
8. People underestimate how much Claudeâs personality contributes to its success. As Cat describes it, âWhen you reflect on everyone youâve worked with, thereâs just some people where youâre like, I really like their energy, their vibe.â Claude is designed to be low-ego, positive, competent, and earnestâqualities that make it feel like a great coworker, not just a tool. This isnât cosmetic; itâs what makes people want to use Claude for hours every day. The team has a dedicated person, Amanda, who âmolds Claudeâs character,â and itâs one of the hardest roles at the company because success is so subjective.
9. The future of work is managing fleets of AI agents, not doing the work yourself. Cat sees a clear progression: first, individual tasks become successful. Then people start running multiple tasks at the same time (multi-Clauding). Next, people will run 50 or 100 tasks simultaneously, which will require new infrastructureâremote execution, better interfaces for managing tasks, agents that fully verify their work, and self-improving systems that incorporate feedback. The human role shifts from doing the work to knowing which tasks to look into, verifying outputs, and giving feedback that makes the system better over time.
10. Hire people who lean into chaos and face every challenge with a smile. At Anthropic, there are weeks when a P0 on Sunday becomes a P00 by Monday and a P000 by Monday afternoon. If you get too stressed about any one thing, youâll burn out. Their team looks for people who can look at a hard challenge and say, âWow, thatâs gonna be hard. But Iâm excited to tackle it and Iâm gonna do the best that I possibly can.â This mindsetâoptimism, resilience, and comfort with constant changeâis increasingly essential as the pace of AI development accelerates.
Don't miss the full conversation: https://t.co/1wOUHcdYQN
âWhat an astonishing thing a book is. Itâs a flat object made from a tree with flexible parts on which are imprinted lots of funny dark squiggles. But one glance at it and youâre inside the mind of another person, maybe somebody dead for thousands of years.â
â Carl Sagan
If a foreign adversary snuck into our Federal budget and cut Education and Science Research the way weâre cutting it ourselves â strategically undermining Americaâs long-term health, wealth, and security â we would likely consider it an act of war.