Making a documentary requires a lot, A LOT OF effort. Ofc it includes taking b roll shots of the city on the highway🚗
Where should we go to capture the best of SF?
"I'll give @elonmusk Mars. I just want the rest."
@_mikegrace is building a giant space gun that throws things to space. No rocket.
@LongshotSpace has fired their test accelerator 150 times and failed every imaginable way.
They also have about $8M in contracts and bookings with the Department of War.
ODDS Ep 1 — Longshot Space. Tomorrow.
Introducing Atlas:
The world's first multimodal world model that generates image and video frames with pixel-perfect camera control and reconstructs them in 3D.
Model the world, move the camera, and simulate space & time.
Introducing EO Magazine.
In one of our founder interviews, you hear a line worth keeping. Then the algorithm just buries it.
So we started writing them down.
Save them, quote them, build your own archive.
We also write exclusive stories about the SF tech scene, the parts we don't put in the videos.
New stories every week.
Link in comments
some people in this photo will become unicorn founders. please tag everyone in this pic so we all have it!!
@fdotinc thanks for making this amazing experience
@jiyoon_eostudio @jasonjin2103 took this sensational pic
Why do founders need a physical space, and real friends to build alongside?
I think I found the answer at @fdotinc.
I spent two days filming young, early stage founders in the batch. They were teammates, giving each other real feedback and pushing each other forward.
Behind every booth is someone who worried, sacrificed, and chose to keep building.
Rooting for all of you!
Why planning 12 months out is a competitive disadvantage for a fast growing company, from Ali Hussain, co-founder and CEO of Tabs ($91M raised, $55M Series B led by Lightspeed, 300+ customers including Cursor, previously COO at Latch from seed to IPO).
What you'll learn:
- The six months he spent talking to nearly a thousand finance professionals before writing a line of software, and what his first investor said about the problem he picked
- The litmus test for the first 8 to 10 hires, and why he will not let that group be remote
- How he decides who becomes a leader before they have ever managed anyone
- Why hiring well should make a CEO redundant, and why he treats that as the goal rather than a threat
- What "go touch the metal" means when AI can build the easy parts, and the AI mandate he put on every function
Timeline:
00:00 Intro
01:55 How did you learn to scale?
02:54 What was the hardest part of scaling?
03:53 How do you get ahead of the hard part?
08:35 How do you build a team that scales?
09:59 How do you grow leaders as your team scales?
12:21 How does your role change as you scale?
13:11 How do you scale what only the founders know?
14:28 How do you keep driving impact as the team grows?
16:14 What's the most common scaling mistake?
17:10 How is AI changing the way you scale?
Announcing Discovery Loop!
I am very excited to announce that, along with my longtime friends and collaborators @Sanjay_Ghemawat, @OriolVinyalsML and @quocleix, we are founding Discovery Loop (@DiscoLoopAI), a Public Benefit Corporation whose mission is to automate machine learning, science, and engineering to accelerate discoveries and progress. The four of us have worked together for 14 to 30 years, and have helped build some of the world’s most used products, infrastructure and AI models, and we’re excited to turn our attention to this ambitious endeavor.
♾
Learn more at: https://t.co/Rv3LMdLluK
Ken Ono, mathematician at Axiom Math and the University of Virginia, on why 2026 shouldn't be the race for more compute.
What you'll learn:
- The three forms of AI (chatbots, superhuman search, formalization) and which one is hiring
- Why students who want to be mathematicians should start 'formalizing' now
- The test for a good question vs. a hollow one, and how to tell who you're really asking it for
- How he spots outlier talent that a box-checking admissions system throws away
- Why comparing yourself to LeBron or a Nobel laureate guarantees you lose
Timeline:
00:00 Intro
02:13 Q1) Have you ever felt obsolete because of AI? 09:33 Q2) What makes a good question?
11:35 Q3) What does 'Superintelligence' mean?
14:04 Q4) What's the biggest AI misconception?
19:34 Q5) What judgement can't AI replace?
21:13 Q6) How do I get past AI filters?
27:45 Q7) Is it bad that I prefer talking to AI over humans?
29:30 Q8) AI is smarter than most of us. What should we do?
31:46 Q9) As a junior, how can I catch up with seniors in the AI era?