Ken Brian @KenBrian

Effort creates trust

Michael Nowak @mnowakdesign

4 days ago

details are how users read effort. They can't see your code or your late nights - but they can feel whether someone cared about the spacing. care is the one thing you can't fake..

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Thank God Sacks is calling their bluff.

David Sacks @DavidSacks

3 days ago

Dario has written that we need to “pace the frontier,” and Sam has agreed. People may be surprised by my response: go ahead. You guys are the frontier. By any reasonable metric — market share, revenue growth, model capability — the two of you have a duopoly on frontier

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Hope is not a mood you wait to feel. It is a practice you return to when the feeling is gone. Light a candle. Call someone. Do not hang up first.

You just had to be there.

Global icon and humanitarian, Dolly Parton, known to the world as a beloved singer, songwriter, philanthropist, actress, playwright, and author died peacefully today in Nashville, Tennessee. She was 80 years old. Dolly is preceded in death by her beloved husband of 59 years Carl Thomas Dean (1942 – 2025), her mother Avie Lee Caroline Owens (1923 – 2003), and father, Robert Lee Parton, Sr. (1921 – 2000). A rhinestone life that shone bright enough for the world to see, Dolly will forever stand as an inspiration not only through her timeless music and prolific songwriting, but also her wit, warmth, and kindness that made us all feel like family. Dolly Parton’s legacy is one of love, compassion, and resilience. With a seven-decade career, she inspired multiple generations of artists and fans with her music and an unwavering commitment to making the world a better place. Her songs will continue to resonate with people of all ages, and her philanthropic work will have a lasting impact. At Dolly’s request, a small, private service will be held for immediate family. Dolly’s fans and friends from around the world are encouraged to pay tribute to Dolly on social media by tagging @DollyParton or by leaving a message at dollyparton.com In lieu of flowers the family asks for donations to be made to Dolly Parton’s Imagination Library at imaginationlibrary.com

are we still allowed to have fun on the internet in 2026? 🎶

AI has been quietly assembling a complete behavioral record of you. Might be worth opening it. I've created a prompted called 'Reflection Engine'. Here are 22 questions to unlock that data for you:

@kevinrose Wow… 😳

Just coming off of meetings with a couple dozen enterprise IT leaders discussing AI agents. Here are a few of the common themes that stand out: * Lots of conversation that you have to solve an operating model challenge to get the full benefits of AI. Most companies have orgs that have always operated in siloes; but agents are most effectively when they are tied to a process, which often cuts across these siloes. So the big question is how do you start to deploy centrally managed agents that can work across organizational boundaries. Who manages these agents? How do they get deployed and adopted? * Data fragmentation remains a major issue for most organizations. As long as data remains highly fragmented and not in standard formats, or data is not available to the right people and agents, enterprises are dealing with issues around being able to get answers from agents that are accurate or that conform to their business practices. This cuts across both systems with structured data (product metrics or revenue figures) and unstructured data (product roadmap or customer contracts). * Clear sense that companies need to figure out what their core data moats are going to be in the future. If everyone has access to roughly the same superintelligence from the various models, then the context that you feed the models becomes proprietary value in the future. Capturing this data and getting it into a format that agents can use becomes very important. * Everyone is trying to figure out the right metrics to manage to for AI adoption. General consensus that tokens are not the right metric per se, and people leaning more toward business outcomes (in an ideal world). For business outcomes (like more revenue or more shipped product), though, you have to get close to each individual workflow to figure out if it was successfully transformed with AI so it’s harder to manage top down. * Growing view that enterprises are going to live in a multi-model world. Lots of interest (though early in actual adoption) in layers that can route workloads to different models (frontside or open weights) for cost or performance reasons. Also enterprises are trying to figure out what things do you give to the models directly vs. what do you separate as horizontal systems and context so you can swap any system in and out. * Talent for driving AI adoption and implementation still remains a major issue and topic. Many view it as something you necessarily have to train for internally due to a shortage of talent being trained on this in the outside. As an aside, this feels like it remains a huge opportunity for those that get very good at deploying and management agents in an enterprise since most companies are looking for these skills. * The best use-cases for AI tend to be those that fundamentally change the work being done instead of just replacing an existing process and doing it more efficiently. Companies are working through their versions of this individually because it’s different per industry, but this often remains both the most exciting and higher upside uses of AI. Many more topics discussed recently, but overall it’s clear that there’s a ton of change going on with much more to come.

4 days left 🔥

Happy Fathers Day Brothers. 🤝

❤️‍🔥 GPT Image 2.0 + Claude Fable Landing page for a fintech product plug & get the same result Prompt 👇

In awe of SpaceX and its story - past, present and the future. You can think about it in 10+ different ways and continue re-blowing your mind in circles. Huge congrats to the team! 🚀

I’m skeptical of absolute takes like “tech jobs are dead” or “design is dead.” My working theory is AI raises the ceiling on what teams can do. That changes roles faster than it removes them. So I appreciate that folks are researching what’s actually happen beyond hot takes.

Aaron Levie @levie

3 months ago

At Box, we just surveyed 1,640 IT leaders across the US, Japan, and Europe about agentic AI adoption. Many standout findings, but a big one was that the companies that adopted AI the most are planning to grow headcount the most. Obviously lots of ways you can read that data and

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@marina_uiux So cool.

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@gabriell_lab This a is so cool. 🔥

Honor of a lifetime to design a product that in just months has saved Americans $400,000,000 on prescriptions! Then launch the 2.0 product on stage with @POTUS. Exceptional collaboration across the administration to pull this off. Thank you to my incredible team at National Design Studio @ndstudio for setting design and engineering standards for industry and nation. 🇺🇸

il Donaldo Trumpo @PapiTrumpo

4 months ago

LOVING THE NEW WEBSITE!!!😍😍😍 TrumpRx.gov

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Personal update: I've joined Anthropic. I think the next few years at the frontier of LLMs will be especially formative. I am very excited to join the team here and get back to R&D. I remain deeply passionate about education and plan to resume my work on it in time.

My recent talk at AI Engineer is out! Showed off Ace, the multiplayer coding workspace we've been building at @GitHubNext And laid out the (fairly obvious) problems with coding alone in your terminal, not sharing any context, plans, or prompting history with your teammates.

AI Engineer @aiDotEngineer

5 months ago

🆕Collaborative AI Engineering: One Dev, Two Dozen Agents, Zero Alignment — @Mappletons youtube.com/watch?v=ClWD8O… Agentic engineering so far has been a solo story: one developer and a dozen agents moving at warp speed. But speed without thoughtful planning and team alignment is

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