Eric Kerr

Fan of scuba diving, skiing, and mapping new things. Building @TruckMapHQ

[Ulysses Maritime Technologies, Inc. @UlyssesInc]

Seagrasses are a foundational element for coastal ecosystems worldwide, removing nutrients, CO2, pathogens, and even heavy metals from the water column to support abundant marine life. Roughly a fifth of the world's seagrass has been lost since the late 1800s, making restoration central to ocean stewardship.

A major constraint on scaling seagrass restoration is access to planting material.

Traditionally, divers collect plants from the seabed or gather seeds by hand. It is slow, labor-intensive work that cannot scale with conventional methods. Harvesting plants from donor meadows can even damage the healthy habitats that restoration is meant to protect.

Ulysses is developing minimally invasive, species-specific payloads that collect fruits and seeds at scale from key seagrass species, including Posidonia australis, Zostera marina, and more. Automating collection cuts cost and reduces disturbance to donor meadows, so we can restore larger areas while protecting existing habitat.

Pictured: Posidonia australis fruits collected in Cockburn Sound, Western Australia, by a Ulysses Mako equipped with our Gen 2 harvesting payload, November 2025.

[𝖓𝖎𝖓𝖊 🕯 @atlanticesque]

I still can’t get over how funny this chart is

New York really enacted a 99-unit maximum by accident lol

[Joe Gebbia @jgebbia]

@DHH is 🎯. Recycling plastic is a scam on all of us by the industry. The fastest way to wake everyone up from this hallucination is to ban plastic recycling. For first timers to this topic, start here:

https://t.co/bhnBSdJUWE

https://t.co/pBkRZ6ISUO

[Lee Robinson @leerob]

Every game is being decompiled
Every math problem is being solved
Everything is happening all at once

Think about the progress in the past year
Now imagine another year
And another year

[Josh Elman @joshelman]

4/ "Everyone else" is the part I care about. I've spent my whole career on products trying to make that jump - the ones that go from "I tried it" to "wait, I use this every day." And the most exciting part is how many categories are still left to build in.

[litquidity @litcapital]

If you’re a semiconductor investor / equity analyst, you need to look at what these guys are building

They’re targeting inference for LLMs at 10,000 tokens/second/user. More than any human needs, but great for agentic work. Basically making them work at light speed

Imagine an army of junior bankers who can read every 10-K, transcript, research report and data-room document all at once, and get you any answer you need in seconds

We’re in the middle of the biggest technological revolution of our lifetimes

Truly insane to see and meanwhile I’m just here trying to figure out how to capitalize on it all

[Pat Grady @gradypb]

The @BostonCollege Investment Committee (an LP and my beloved alma mater) asked for a few thoughts on what's happening in AI. I recorded a test run yesterday morning and then shared it with my partners, who encouraged me to share it more broadly... so here you go!

This is not a sales pitch, it's just a reflection on what we're seeing. And it wasn't intended to be shared, so please pardon the rough edges.

https://t.co/AuZqHMSSxD

[Theo - t3.gg @theo]

This is where we were at with AI code early last year btw

[nathan fielder @nathanfielder]

Here is official trailer, You Can See Everything

[Kevin Bass @kevinnbass]

Many of the most vocal politicians now calling for government regulation of AI companies are also among those receiving the most money from the AI companies themselves.

What an intriguing coincidence.

[Arika @Arikalabs]

before we rewrite the backend in rust can we at least try adding an index

[derek guy @dieworkwear]

imagine being a menswear writer and having to go back to writing about this fall’s best socks after reading anthropic employees say AI might destroy humanity in a few years

[A24 @A24]

YOU CAN SEE EVERYTHING, a documentary by Nathan Fielder and Lance Oppenheim. Featuring Elizabeth Holmes. Only in theaters this October.

[Manik Gupta @manikgupta]

There are pitch decks and then there is this.

[Pavel @baltabaev]

I’ve spent well over 10,000 hours studying math in my life, yet I can’t understand these proofs, at least not without weeks of digging deep into each topic. What’s more, none of my math PhD friends know much about these problems either, and they can’t verify most of them without working directly in the field (yes, math is VERY diverse).

LLMs are getting smarter than the experts themselves, and I’m not sure we have enough bright human minds to verify everything that will come out of them in the coming years.

Remember when we compared AI intelligence to PhD students? I think we’re past that.

[shirish @shiri_shh]

now you know exactly why Dario hates open source 😭

[Stratechery @stratechery]

Who’s Afraid of Chinese Models?

Everyone is worried about Chinese models, but the frontier labs will be fine; we need to enable open U.S. alternatives.

https://t.co/Q5cbH229jj

[Jack Altman @jaltma]

I sat down with @samdblond, founder of Monaco, to talk about to talk about the future of sales and GTM in the AI era.

He's an incredible GTM leader and founder and I get new ideas every time I talk to him. Hope you enjoy.

Timestamps:
(0:00) Intro
(1:26) Sam's sales journey
(3:11) EchoSign learnings
(5:28) Building Zenefits GTM
(7:02) Parker's 0 to $10M thought exercise
(9:51) Creating a demand-rich environment
(14:20) People, brand, and revenue ops
(21:19) Why Sam went to Founders Fund
(28:00) Starting Monaco
(29:40) Salesforce’s innovator's dilemma
(31:40) Going straight for the system of record
(34:30) Disrupting labor
(41:10) Pricing in an AI-native environment
(44:28) The Monaco GTM playbook
(50:06) The $60,000 plane experiment
(54:21) Creative campaigns vs. paid advertising
(1:00:06) Monaco’s product approach
(1:03:13) Advice for founders just starting to sell
(1:07:58) Abundant pipeline and the right to say no

[Matthew Prince 🌥 @eastdakota]

Should just be magic.

[Marc Andreessen 🇺🇸 @pmarca]

“Imagine in 1750, you're like, well, 98% of us work in farming, and then you come back from the future and you're like, you guys, 2% of people in the 1990s work in farming. It'd be like, so everyone's starving to death? Like, no, no, we're super fat, actually.”