T. Takemoto

Human Being, Version ∞

[T. Takemoto @Pikaho]

Yeah, I’m working on a galaxy-brain oracle solution.

[T. Takemoto @Pikaho]

Skyr is a game changer.
High protein, low fat, and ready to eat.

[T. Takemoto @Pikaho]

I'll be in Berlin from June 15–19 for Berlin Blockchain Week. If you're nearby and would like to grab a coffee, feel free to reach out. Always happy to connect with fellow builders, founders, and friends.

[T. Takemoto @Pikaho]

job title: Human Being, Version ∞

[T. Takemoto @Pikaho]

Let AI handle survival. Let yourself handle meaning.

[T. Takemoto @Pikaho]

Is Steam down?

[unusual_whales @unusual_whales]

BREAKING: Iran’s Foreign Minister has said: As of now, there is NO "agreement" on any ceasefire or cessation of military operations. However, provided that the Israeli regime stops its illegal aggression against the Iranian people no later than 4 am Tehran time, we have no intention to continue our response afterwards.

[T. Takemoto @Pikaho]

Elden Ring Nightreign is so good

[T. Takemoto @Pikaho]

To follow the path:

look to the master,
follow the master,
walk with the master,
see through the master,
become the master.

[T. Takemoto @Pikaho]

2025 feels turbulent with the Ukraine-Russia war, Israel-Palestine conflict, China-Taiwan tensions, and rumors of Trump eyeing Canada and Greenland. Here’s hoping for solutions and peace amidst the chaos.

[unusual_whales @unusual_whales]

Call your mother... and father... and lover.

Hurry.

[T. Takemoto @Pikaho]

Elden Ring!!!

[Aaron Levie @levie]

Everyone knows Moore’s law, the idea that CPU performance doubles roughly every two years. This has enabled essentially every innovation we’ve had with computers since the 60’s and 70’s. But remarkably, driven by GPU performance and AI model breakthroughs, we’ve seen a very different law emerge with respect to the rate at which AI model performance improves — in many cases improving by orders magnitude in the past decade. This introduces massive implications in world of AI Agents.

For the past five plus decades, in any domain that computers touch, we’ve generally seen massive efficiency gains that bring more tech to more people. For instance, scaling of servers in the cloud with AWS, accepting payments with Stripe, or powering communications with Twilio — in all of these cases something that once was extremely expensive and complex is now affordable and ubiquitous. And that affordability (or value delivered) generally only gets better as each year goes on. Yet the same has not been possible for essentially any non-digital services.

Historically, anytime you want to solve a non-computerized business problems (i.e. most knowledge work), we have seen the cost to solve a problem — say from healthcare services to legal work — tend only go up over time. Due to a mix of inflation, specialization in certain fields, regulation, decreased competition in markets, or other added costs, we’ve seen the price of most services generally monotonically increase over time. 

Of course, much of this is perfectly fine, natural, and good. But this also puts a burden on driving economic activity in general, especially when creating new ideas from scratch, or starting and running a new business. Yes, I can get going with the cloud inexpensively, but that doesn’t matter if all other areas of my business are still hard to scale. Of course this is fine for a hyper growth idea in a mature market with access to the right resources, but that’s a small percentage of the world.

Yet, in a world of AI Agents, anyone — from a small business or large enterprise — has access to automated work that can let them address problems with variable capacity. When you decrease the cost of entry for getting knowledge work done, you dramatically increase the use cases for that work. That new sales program can be tested instantly instead of waiting weeks or months or never happening at all; you can test a broader surface area of your product for bugs or security issues; legal work and reviews becomes affordable on the seemingly insignificant transactions that otherwise produce risk; or you can launch a new marketing campaign in markets you didn’t otherwise serve.

AI lowers the barrier to doing all of these activities and more (and as I’ve shared before, ironically by doing so you actually will generate *more* job growth due to the productivity generated). 

Even in a world of AI costs remaining stable this is a super compelling proposition, but in a world of constantly improving technology the implications are vast. 

Just as Moore’s steadily lowered the cost of software, increased its sophistication, and made it more ubiquitous, we can imagine a world where knowledge work regularly gets more affordable, sophisticated, and ubiquitous at a constant rate. This means AI Agents presents the ability for any unit of work to continuously drop overtime, enabling us to solve greater and greater problems for a wider set of people and businesses. Of course, a large portion of these efficiency gains will quickly get “eaten up” by solving increasingly more sophisticated problems, but those problems will be solved at the cost of a previously simpler problem. 

The implications of this are enormously interesting, and it’s going to create incredible opportunities all around.

[Aaron Levie @levie]

iRobot stock is down 90% since Amazon announced an intent to acquire it and then was blocked. Blocking non-monopolistic M&A only makes it less likely to fund risky ideas, because there are fewer exit opportunities. Bad for innovation, ironically fine for incumbents.

[T. Takemoto @Pikaho]

Today, Amsterdam is very cold. It feels like -11 degrees.

[T. Takemoto @Pikaho]

ChatGPT is outshining many education apps, emerging as the ultimate AI teacher in today's digital era.

[T. Takemoto @Pikaho]

Watching Pluto on Netflix

[T. Takemoto @Pikaho]

Drone is software

[T. Takemoto @Pikaho]

Warsaw is a wonderful city where I had a great time.

[T. Takemoto @Pikaho]

Where is the best craft beer bar in Munich?