I talk to engineers at other companies every day and hear the same thing: one person is 10x'ing their output with Claude but the rest of the org hasn't caught up.
Watching teams adopt AI, I keep seeing the same 4 steps.
I mapped them out here: Steps of AI Adoption https://t.co/kQnRAUMKpP
We use check charts as opposed to traditional report cards to measure progress at Alpha. They're composed of academic and life skills. When a student completes their chart, they earn a Level-Up Ceremony.
Time stamps:
00:11 Kindergarten & 1st Grade
6:01 2nd Grade
11:43 3rd & 4th Grade
An initial startup idea can't usually be both grand and precise. In practice they're usually either grand and vague or precise and small. Precise and small is better. You know who your initial users are, and you expand outward. With grand and vague you can't even get started.
Steve Cohen and PGA Golfers share the same performance coach.
For the next hour, he’s yours too.
@GioValiante is the world’s top performance psychologist.
We discuss why most people never reach their potential, how both confidence and fear shape performance, and what separates those who consistently excel from those who stay stuck.
Enjoy!
(Includes paid partnerships)
The Future of Enterprise Software with Steven Sinofsky
Seema Amble, Steven Sinofsky, and Elena Burger sit down to cover what headless software actually means, why enterprise stickiness is harder to kill than anyone thinks, and where the real opportunities are for startups building in the age of agents.
1:00 Intro to the episode and guests
1:58 What is headless software and what changes does it introduce
2:17 Salesforce Headless 360 announcement unpacked
9:49 Historically, what made software sticky
15:26 Steven's "The Death of Software, Nah" essay and why the SaaSpocalypse is overblown
17:11 Why legacy systems like SAP and insurance software are truly irreplaceable
26:04 Why enterprise software's two most-used features are "export to Excel" and "export as CSV"
29:25 The challenge of context, permissioning, and edge case handling for agents
35:07 Is automating the long tail the hardest problem in enterprise AI
36:54 Why productivity gains always create more work, not less
45:31 The rise of MCP servers and history rhyming with the Microsoft middleware era
52:20 Biggest startup opportunities in the agentic software landscape
@stevesi@VirtualElena@seema_amble
I'm excited to announce the most ambitious recreation of Bloom's 2Sigma study of the last 40 years. It's funded by @reedhastings and staffed by a team of 20 of the best educators in this country.
Our education team's goal is to show the largest academic gains in one year ever recorded, and we'll publish our results even if we fail.
Recently, @jwdanner introduced me to @reedhastings. Most people know Reed co-founded Netflix. Fewer know he has been one of the driving forces behind improving education for the last twenty years.
When Reed pitched me on recreating Bloom's famous 2-sigma problem, I felt an overwhelming sense of hope for education. Over the last few months we have moved at breakneck speed to assemble an exceptional team. Someone recently described it to me as the "Avengers of education."
We are testing one question with the rigor it deserves: can elite one-on-one tutoring reproduce the largest learning gains ever measured in a controlled study? We will work with researchers from Stanford, Brown, Cornell, and other leading institutions, and we intend to be the most transparent research group in the field. That means publishing our methods, our benchmarks, and our results, whatever they show.
We will invest up to $100,000 per year per student to give them the best education on the planet. If it works, the data and methods can help educators and technologists recreate these outcomes for every child.
We are actively hiring tutors, engineers, and operations people to help us climb this mountain.
another Codex for OSS update:
Oh My Zsh
Ollama
MarkItDown
Langflow
scrcpy
LangChain
llama.cpp
shadcn/ui
RustDesk
three.js
v2rayN
Browser Use
Storybook
Home Assistant
Svelte
fzf
Hoppscotch
Netdata
Dear ImGui
LlamaFactory
Tabby
DeerFlow
Anime.js
Ansible
ripgrep
openpilot
Spring Framework
Ghostty
whisper.cpp
Expo
Julia
tmux
Apache Airflow
Milvus
Gradio
DaisyUI
Dioxus
Hyprland
Drizzle ORM
FreeCAD
Hono
thank you for building the software we all use
In a country where administrative enforcement of social benefits, that's atomically a cash handout, is a fantasy (50 states, zero interoperability, a constitutional allergy to financial surveillance), any money you hand out without verifying its use unfortunately selects for the worst people, scammers, grifters and those allergic to a productive life.
Then pair that with social-media-influenced desires in life that's real but artificially inflated, people chasing a "grass is greener" higher-cost life they don't biologically need, and human nature always taking the path of least resistance... You get a self-reinforcing cycle that trains dependency and externalizes blame onto an "invisible system" that's really just nature.
The honest version of the problem is a trilemma: untracked money rots through fraud, tracked money requires a Big Brother surveillance state that betrays American ethos, and the only real alternative is letting consequences land. And underneath all of it, like Adams said, this whole system only works if the overwhelming majority are high integrity and high caring, which is the actual question: whether that integrity base still exists.
Has American civic integrity fallen below the level our institutions structurally require?
John Adams said "our Constitution was made only for a moral and religious people, it is wholly inadequate to the government of any other.”
A low-integrity population corrupts any system, tracked or untracked, and a high-integrity one sustains systems that look impossible on paper. Enforceability is only a proxy for integrity.
Socialist ideas are great in theory but presume a high integrity nation.
Finally finished building my AI datacenter! 🚀
32x3090s across 4 servers (8 GPUs each), all connected over InfiniBand.
The whole setup is solar-powered with a massive battery bank and generator backup.
More technical details and benchmarks coming soon.
Finally finished building my AI datacenter! 🚀
32x3090s across 4 servers (8 GPUs each), all connected over InfiniBand.
The whole setup is solar-powered with a massive battery bank and generator backup.
More technical details and benchmarks coming soon.
A conversation with Ed Catmull, founder of Pixar. I've been making podcasts about Ed for over 8 years. He invited me to his home and told incredible stories from his 60 year career. Ed worked with Steve Jobs longer than anyone else — for more than a quarter century. We talked about what he learned from Steve, the founding of Pixar, building a company at the intersection of art and technology, why getting the team right is the necessary precursor to getting the idea right, and so much more.
Ed is full of hard-earned practical wisdom. Spending time with someone I’ve studied for almost a decade was awesome.
I hope you listen.
0:00 Most Companies Are Full Of Shit
4:28 The Brain Trust Mechanism
10:13 Why Steve Jobs Was Banned From The Braintrust
17:48 Your Job Is To Manage The Dynamics
23:27 Betting The Company On Toy Story
24:35 Engineering Eisner's Worst Nightmare
36:51 Bob Iger's Crappy Hand
38:44 Why Disney Never Asked What Pixar Was Doing
43:48 Take The Hard Problem
44:38 The Director Can't Lose The Team
48:48 Quality Is The Best Business Plan
52:32 What Walt Disney Taught Him
59:25 George Lucas And The Motion Blur Problem
1:08:48 Now What's The Point Of My Life
1:13:31 How Much Of This Was Me
1:16:10 George Lucas Wanted The Whole Industry Healthy
1:25:11 Refusing To Let Anyone Feel Second Class
1:32:38 The Truck In The Building
Includes paid partnerships.