here's the story behind how this photo happened!
on @cerebras Big Chip Club with @MilksandMatcha
how i come up with ideas, behind the scenes of the astra robotics demo, and a lot more!
now on @cerebras big chip club with @MilksandMatcha
On Big Chip Club, @MilksandMatcha talks with @cdngdev, the former @OpenAI robotics intern behind this summer’s viral Astra robot-painting demo.
They discuss the creative process behind building products people want to make for themselves, why robotics needs fast inference, and what recursive self-improvement (RSI) would require.
0:00 Meet Thijs: Discord, OpenAI, and Stanford
0:47 Building a wardrobe app in a day
3:17 Making demos that cut through the noise
4:43 Whimsical and practical demos
5:25 Where good ideas come from
7:04 Teaching a robot to paint the Golden Gate Bridge
8:52 Improving the robot’s painting ability
10:34 Giving Sam Altman the robot’s painting
12:00 Why robots need fast inference
14:11 What demos should Cerebras build?
15:07 Getting started with robot arms
16:33 Recreating apps and 3D models on demand
17:56 From generated models to physical things
19:45 Inside OpenAI
20:17 What RSI means
23:11 Getting AI's benefits to everyone
24:39 Personal assistants for everyday tasks
👀 one of the coolest instinct use cases noah has seen is people scanning their clothes to create a virtual wardrobe (at 4:50)
My conversation with Noah Shinn (@noahrshinn), founder of Instinct.
Noah is building a personal AI assistant. It's still invite only, has spent nothing on marketing, and is growing roughly 10% A DAY.
This is his first long conversation about the company.
We discuss:
- Why Instinct doesn't have an app
- Buying compute months ahead of exponential demand
- How users learn to trust it with a credit card
- Safety and security
- Agents coordinating with other people's agents
- Instinct's business model
- Apps built on consumer inertia
- and more
Enjoy!
Timestamps:
0:00 Intro
4:11 What people are using AI agents for
15:07 Rethinking travel, reservations, and the internet
22:43 Trust, privacy, and personal data
27:50 The business model behind Instinct
38:04 How existing businesses will adapt
47:55 Designing a personal assistant people love
53:15 Growth, compute, and competing with Big Tech
1:11:44 What’s next for Instinct and personal AI
