DB

[kelly @kellytheboss7]

A college student with ADHD once explained why their essays end up filled with so many parentheses:
“Neurotypical people think in straight lines. My brain thinks in a giant web where every single concept is physically holding hands with twelve other concepts.”
In other words, their thoughts don’t unfold in a neat, step-by-step sequence. Instead, one idea immediately triggers several related ideas at once. While writing, it can feel impossible to ignore those connections because they all feel relevant and important, even if they branch off from the main point. Parentheses become a way to temporarily “park” those side thoughts without losing them.
So the essay ends up reflecting the actual structure of their thinking: layered, branching, and constantly interlinked. What looks messy on the page is really an attempt to capture a mind that doesn’t move in a straight line, but in a network where everything is connected to everything else.

[DB @SMDB303]

@MurrayHillGuy1 Win

[Garry Tan @garrytan]

The companies I love working with in office hours are the ones where the founder has a specific, weird, earned insight that nobody else has. Not "AI for X." A genuine edge that came from living inside a problem.

The ones that are dying almost always have the same pattern: technically competent founders building something nobody asked for, moving metrics that don't matter, avoiding the conversation with the one user who'd tell them the truth.

The lucky thing is that 2nd type of founder can become the 1st kind if they don't stand still, they are willing to talk to people, try things, and always seek high rate of learning.

[Nicolas Cole 🚢👻 @Nicolascole77]

Yesterday, I locked myself in my office for 7 hours, inhaling 50+ articles about AI.

I did this to unlock more bandwidth for my team.

But these 7 were too good not to share:

[Jeff Bezos @JeffBezos]

Thank you. The important part is zeroing out taxes on the bottom half. Best way to put money in someone’s pocket is to not take it out in the first place. Bottom half is only 3% of total tax revenue. But it’s very meaningful to that person. Zero it out.

[DB @SMDB303]

We are in the singularity

[Incentivising @incentivising]

Game theory explains why working harder inside a broken system is the worst response to that system. Because a system is never truly broken. It's just producing exactly the outcomes its own incentive structures were designed to produce, whether intentional or not. Working harder inside this system increases your output in the payoff matrix, but it simply won't change the actual structure of the system's matrix. Thus, the correct response is not more effort. Instead, you must aim to identify whose interests the current structure serves and position yourself in favor of those interests rather than against them. Change the game, or play the game that is actually being played. Either way, you must stop optimizing for the game you wish it to be and start acting realistically.

[Podcast Notes 🗒️ @podcastnotes]

Rick Rubin has low heart rate variability.

So he looked up everything that raises it, picked one technique, and started doing it every day.

It worked.

The technique: coherence breathing. 10 to 20 minutes a day, at least once, sometimes twice.

Now he and @hubermanlab do it together on camera so you can follow along:

[NeilXbt @neil_xbt]

ANDREJ KARPATHY COULD HAVE CHARGED $2,000 FOR THIS COURSE.

He put it on YouTube.

The full training stack. Tokenization. Neural network internals. Hallucinations. Tool use. Reinforcement learning. RLHF. DeepSeek. AlphaGo.

3 hours of the most comprehensive LLM education that exists anywhere at any price.

Not how to use the tools.

How the entire system was built from the ground up and why it behaves the way it does.

The engineers who understand this build things the ones who only use the tools cannot even conceive of.

The gap between those two groups is not 3 hours.

It is everything those 3 hours quietly unlock for the rest of your career.

[DB @SMDB303]

@Jason I’m in

[Naval @naval]

Introducing USVC - a single basket of high-growth venture capital, for everyone.

No accreditation required, SEC-registered, and a very low $500 minimum.

Includes OpenAI, Anthropic, xAI, Sierra, Crusoe, Legora, and Vercel. As USVC adds more companies, investors will own a piece of that too.

Liquidity typically comes when companies exit, but we’re aiming to let investors redeem up to 5% of the fund every quarter. This isn’t guaranteed, but if we can make it work, you won’t be locked up like in a traditional venture fund.

It runs on AngelList, which already supports $125 billion of investor capital.

And I’ve joined USVC as the Chairman of its Investment Committee.
—

Go back to the 1500s, you set sail for the new world to find tons of gold - that was adventure capital.

Early-stage technology is the modern version. It says we are going to create something new, and it’s risky. It’s daring.

But ordinary people can’t invest until it’s old, until it’s no longer interesting, until everybody has access to it. By the time a stock IPOs, most of the alpha is gone. The adventure is gone. Public market investors are literally last in line.

This problem has become farcical in the last decade. Startups are reaching trillion dollar valuations in the private markets while ordinary investors have their noses up to the glass, wondering when they’ll be let in.

Investing in private markets isn’t easy. You need feet on the ground. You need judgment built over years. Most people don’t have the patience to wait ten or twenty years for an investment to come to fruition.

But there is no more productive, harder-working way to deploy a dollar than in true venture capital.

USVC enables you to invest in venture capital in a broad, accessible, professionally-managed way, through a single basket of innovation, focused on high-growth startups, at all stages.

It is how you bet on the future of tech: the smartest young people in the world, working insane hours, leveraged to the max, with code, hardware, capital, media, and community. Your dollar doesn’t work harder anywhere.

There is an old line - in the future, either you are telling a computer what to do, or a computer is telling you what to do. You don’t want to be on the wrong side of that transaction.

USVC lets you buy the future, but you buy it now. Then you wait, and if you are right, you get paid.

Get access here:

https://t.co/pAj1sqUsG0

[Jaynit @jaynitx]

This video is literally 50 entrepreneurs giving you an MBA in 18 minutes:

[DB @SMDB303]

I don’t think I have ever seen a person living in more of an echo chamber than @BillAckman

[Bill Ackman @BillAckman]

Non-residents who spend millions of dollars on NYC apartments help drive NYC’s economy. Most of the profit in condominium development is in the penthouses. The Ken Griffins of the world make NYC high end development viable, driving high-paying construction, brokerage, legal, marketing, and other jobs in NYC. We should be applauding Ken for spending $238 million in NYC, not attacking him for doing so.

Importantly, non-resident owners of NYC apartments who leave their apartments vacant for much of the year are not a burden to NYC schools, services, or other resources while they drive growth in retail sales, restaurants, theater, and other important drivers of our economy. They also often support NYC non-profits with donations.

Ken’s company is a major employer in NYC of very high paying jobs which drive a considerable amount of our tax base. We wouldn’t want him to move even more employees to Miami.

These non-resident owners also already pay a lot of taxes including mansion taxes, real estate taxes, sales taxes and more.

While @NYCMayor Mamdani likes the tag line ‘Tax the rich.’ Unfortunately, his policies will harm the constituencies he is supposedly trying to help.

I can’t imagine the NYC construction unions are excited about his plan.

[Compound248 💰 @compound248]

“WE’RE NOT ENRICHED URANIUM; it’s a chip.” - Jensen

This debate is incredibly compelling content, and neither participant gives up a single inch.

[Kirill @kirillk_web3]

🚨do you understand what two Anthropic engineers just explained in 16 minutes.

Barry and Mahesh built Claude Skills from scratch.

here's the part nobody is talking about:
> Skills are just folders.
> folders that teach Claude your job.
> your workflow. your expertise. your domain.

Claude on day 30 is a completely different tool than day one.

watch this before you write another prompt.
before you build another agent.
before you touch another tool.

16 minutes. bookmark it. watch it today.

and if you want to learn everything about Claude from scratch the full 4 hour guide is waiting below.

[Aanya @xoaanya]

Time between offer letter and joining date.

[Greg Brockman @gdb]

The world is transitioning to a compute-powered economy.

The field of software engineering is currently undergoing a renaissance, with AI having dramatically sped up software engineering even over just the past six months. AI is now on track to bring this same transformation to every other kind of work that people do with a computer.

Using a computer has always been about contorting yourself to the machine. You take a goal and break it down into smaller goals. You translate intent into instructions. We are moving into a world where you no longer have to micromanage the computer. More and more, it adapts to what you want. Rather doing work with a computer, the computer does work for you. The rate, scale, and sophistication of problem solving it will do for you will be bound by the amount of compute you have access to.

Friction is starting to disappear. You can try ideas faster. You can build things you would not have attempted before. Small teams can do what used to require much larger ones, and larger ones may be capable of unprecedented feats. More and more, people can turn intent into software, spreadsheets, presentations, workflows, science, and companies.

People are spending less energy managing the tool and more energy focusing on what they are actually trying to create. That shift brings a kind of joy back into work that many people haven’t felt in a long time. Everyone can just build things with these tools.

This is disruptive. Institutions will change, and the paths and jobs that people assumed were stable may not hold. We don’t know exactly how it will play out and we need to take mitigating downsides very seriously, as well as figuring out how to support each other as a society and world through this time. But there is something very freeing about this moment. For the first time, far more people can become who they want to become, with fewer barriers between an idea and a reality. OpenAI’s mission implies making sure that, as the tools do more, humans are the ones who set their intent and that the benefits are broadly distributed, rather than empowering just one or a small set of people.

We're already seeing this in practice with ChatGPT and Codex. Nearly a billion people are using these systems every week in their personal and work lives. Token usage is growing quickly on many use-cases, as the surface of ways people are getting value from these models keeps expanding.

Ten years ago, when we started OpenAI, we thought this moment might be possible. It’s happening on the earlier side, and happening in a much more interesting and empowering way for everyone than we’d anticipated (for example, we are seeing an emerging wave of entrepreneurship that we hadn’t previously been anticipating). And at the same time, we are still so early, and there is so much for everyone to define about how these systems get deployed and used in the world.

The next phase will be defined by systems that can do more — reason better, use tools better, plan over longer horizons, and take more useful actions on your behalf. And there are horizons beyond, as AI starts to accelerate science and technology development, which have the potential to truly lift up quality of life for everyone. All of this is starting to happen, in small ways and large, today, and everyone can participate. I feel this shift in my own work every day, and see a roadmap to much more useful and beneficial systems. These systems can truly benefit all of humanity.

[Daniel Merja @danielmerja]

I have received a lot of DMs for spots in NYC where people can actually go work late nights so I am making my list public so anyone can save it. Enjoy!
https://t.co/6Ypt8uYrc2

[Polymarket @Polymarket]

JUST IN: OpenAI President Greg Brockman says the world is transitioning to a “compute-powered economy,” where problem solving increasingly depends on access to compute.