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Token stream 2024-11-15

2024-11-15

A message from my sponsor

Macro Oceans received a grant to use kelp for sustainable aviation fuel. From the oceans to the skies!

Things I learned

78 percent of Christmas hits were penned before 1990. From Can’t Get Much Higher. Also: “According to a report by CNN, about 52% of adults said they celebrated Halloween in 2005. In 2012, that percentage had jumped to around 72%. Over a decade later, ~the New York Times related~ that that percentage has slowly crept up closer to 75%.”

Transplant recipients can inherit memories and preferences from their donors from Adaobi Adibe. More on this here and here.

Worth your time

Getting materials out of the labby Ben Reinhardtin Works in Progress. Lots of this resonated for me in my work at Macro Oceans, even though our materials aren’t novel in the same way that say carbon fiber was in the 1960s. There’s an interplay between unique functionality (what the material does), scale (your ability to produce consistently), and price at each step along the journey. The art is picking use cases where your unique functionality isn’t blocked by your limited scale and high price.

Robert Twigger on practice:

I know from my own experience of studying martial arts in Japan that intense study brings rewards that are impossible to achieve by casual application. For a year I studied an hour a day three days a week and made minimal progress. For a further year I switched to an intensive course of five hours a day five days a week. The gains were dramatic and permanent, resulting in a black belt and an instructor certificate. Deep down I was pessimistic that I could actually learn a martial art. I thought you were either a ‘natural’ or nothing. Then I saw natural athletes fall behind when they didn’t practice enough. This, shamefully, was a great morale booster.

The global wars between ant super colonies.

"Social media basically brought us to something like an oral culture" and more from Katherine Dee.

The Marginal Revolution Podcast on Crime in the 1970s. They were somewhat pessimistic as the episode ended, but it made me much more optimistic about America’s future. The resilience of our society is really underrated.

AR binoculars that automatically identify birds anywhere in the world. Stupid great product idea.

Observations

Product market fit provides gravity for a business. Before you have it, moving in almost any direction might be a good idea. But after you have it, you’re either going to double down on what’s possible or expand into the adjacent possible. All the moves are directly related to your current momentum.

“For an increasing proportion of software it’s more helpful to think of it as content rather than software” — Daniel Kuntz

“The difference is that I just get to be really stubborn about making things as good as we all know they can be.... But the real big thing is: if you’re going to make something, it doesn’t take any more energy — and rarely does it take more money — to make it really great. All it takes is a little more time. Not that much more. And a willingness to do so, a willingness to perservere until it’s really great.” - Steve Jobs

Sometimes caution is the riskier choice.

Politics is made up of both style and substance. I remember Tom Holland of the Rest Is History saying that Roman political parties didn’t break down on policy lines the way that ours do but on style: a conservative style vs a progressive style.

You can just ignore things.

Prizes are an under used way of incentivizing behavior.

ABP.

Token stream 2024-11-01

2024-11-01

Public Service Annoucement

Macro Oceans joins forces with Everything Seaweed . 🌊 Let’s make waves together 🏄.

Things I learned

Lebron and Bronny James are the highest scoring father and son duo in NBA history without Bronny ever scoring a point. They’ve also outscored Chris Bosh and Dwayne Wade combined.

Worth your time

GOAT: The Gospel of Goatse. The world is going to get really weird. I’m here for it.

Marty Cagan on beyond agile:

Risks are tackled up front, rather than at the end.  In modern teams, we tackle these risks prior to deciding to build anything. These risks include value risk (whether people will buy it), usability risk (whether people can figure out how to use it), feasibility risk (whether our engineers can build what we need with the time, skills and technology we have), and business risk (whether this solution also works for the various aspects of our business).

Where does energy, in the sense of human vigor, come from? Sadly, no concrete answers were given.

A great article on creative discontent from Celine Nguyen. One of my favorite David Halberstam quotes is “Being a professional means doing your job on the days you don’t feel like it.” He wrote one of my favorite books, Breaks of the Game, which is so good because it’s insanely well sourced. I imagine him getting up, he’s got a cold and it’s rainy. He would rather sleep in, but he pours a cup of coffee, gets in his car, and goes to have one more conversation with one more soruce. This one reminded me of him. Plus it lead me to the Ogilvy company principles:

Dogged determination is often the only trait that separates a moderately creative person from a highly creative one. Never give in, never give in, never, never, never, never. Persistence and determination alone are omnipotent. Before them, obstacles vanish into thin air and mountains crumble into atoms. 

And:

Conclusion: We are what we repeatedly do. Being very good is no good. You have to be very, very, very, very, very good.

How to build an LLM judge by Hamel Husain. Notice the role of the taste maker?

Musings

When I was a PM on the YouTube Creator team, a super common interaction I had with top creators when something like this: - Me: How did your channel get started - Creator: I just started one day and it blew up almost from the first video - Me: Really? - Creator: Yeah. - Me: Wow, that’s crazy. - Creator: Well, it’s actually my third YouTube channel. I’ve had a couple of others that never really went anywhere.

I must've had this exact conversation at least 5 times. There's a lesson in there somewhere.

This week's token stream

2024-10-24

Things I learned

There are more deaths from alcohol each year in the US than all illicit drugs combined — Charles Fain Lehman via the Ezra Klein Show

Worth your time

How Density Zones can solve America’s housing Crisis — Agglomerations

A Character.ai character’s (potential) role in a teenager’s suicide— NYT.

Musings

One thing I notice is that super early stage companies have to do impossible things to make it to the next day… which sometimes leads to them being bad at assessing which super impossible things they can do and which ones they can’t. I think political progressives can be the same way. They have to by nature believe that wholesale change is possible but this blinds them to the things that can’t be changed.

With apologies to the boffins around the world who know more about this than I do, I think AGI arrived with GPT-4. Everything else is just a continuation on that theme.

The thing that’s great about Duolingo is that they’ve figure out how to turn aggressive gamification strategies towards a neutral to positive end

“A good science fiction story should be able to predict not the automobile but the traffic jam.” — Frederik Pohl

Great advice from This is Not Advice:

When starting out, it’s easy to spend time on your strengths and ignore your weaknesses until much later. In fact the startup world often fetishizes a founder's particular strength. That is to say, if you know a particular founder is design-oriented, you expect to see some of the most beautifully designed things from them. Despite this, if you know you are capable of doing something, it can be beneficial to focus on the other things. Simply put: start with the stuff you don’t know you can do. [Ed.: I remember a startup in which we, foolishly, passed on investing that had made such fast progress. When I asked them how they'd advanced so quickly they explained that they'd exclusively focused on things they were unsure would work.]

I’d add Alex Komoroske and Simon Wilson to the meme creator list.

This week's token stream

2024-10-18

Things I learned

The last person to be guillotined in France was put to death in 1977. The Rest Is History, Wikipedia.

The Barnum effect is individuals give high accuracy ratings to descriptions of their personality that supposedly are tailored specifically to them, yet which are in fact vague and general enough to apply to a wide range of people. Hat tip to Simon Wilson who brought this to me.

Worth your time

“Meanwhile, those who study, pray, and commit acts of loving-kindness keep the world going.” Cluny Journal

How young men and women (mis)understand each other. American Storylines.

Internet of Bugs, a software developer + YouTube Creator reviews o1 and sees it as a step change for AI.

Engelsberg Ideas on the missing quality of judgement. I’ve noticed that product management orgs in particular are often embarrassed by the degree to which the job depends on judgement; instead, I think they should embrace it.

How drones are changing the war in Ukraine.

Observations

When I’m in execution mode, I find myself searching for slack in my schedule to eek out just a little bit more productivity. When I look at my to do list this way, I start to see the little things I can do here and there regardless of priority. But eventually what happens is that I begin reordering my to do list away from what’s important and towards what I can do quickly. The urgent overwhelms the important.

I suspect that the Creator Economy is coming for software development. In the same way that the iphone made it so that anyone can make a video, LLMs are making it so anyone can make software. This makes it even more important to be focused on who the software is for and how it integrates into the life of the user. Nicheness is even more important.

Meaning comes from cost. If it’s free to do, you won’t feel ownership of it.

California's changing climate

2024-07-20

A fantastic piece by Paul Kedrosky on how California's Atmospheric River is changing and the implications of these changes.

Lots of great stuff in it, but this was totally new to me:

A predator-prey model is a mathematical representation of the interactions between two species: a predator and prey. It is often modeled as wolves, sheep, and grass. The most common model is the Lotka-Volterra, which consists of two differential equations. There are two stable equilibria: one with predator and prey in approximate balance, and one with both extinct