China isn’t waiting for the AI future, it’s manufacturing it in elementary school.
While other countries argue over guardrails, bans, and “responsible use,” Chinese classrooms are already teaching kids how to prompt, critique, create, and even monetize with AI tools. Safety literacy, creative applications, and small business experiments are part of the curriculum.
The next generation of builders isn’t going to emerge from university labs or Silicon Valley internships. They’re sitting in classrooms right now, treating AI the same way earlier generations treated calculators or the internet.
The real competitive edge in AI may not come from bigger models or more GPUs. It may come from who raises the most AI-fluent kids the earliest.
STEVE JOBS GOT FIRED FROM APPLE.
Then he walked straight into MIT and dropped the most raw, unfiltered 60-minute business masterclass ever recorded.
Zero PR bullshit. Zero image to protect.
Just pure, brutal honesty from the man who built Apple once and was about to rebuild it even bigger.
Stop scrolling.
Watch this tonight instead of Netflix.
Bookmark it. Come back to it.
Stripe's Will Gaybrick: "Build everything"
Against an industry that sees agents as a way to cut costs, Stripe is using them to build more: agents wrote 30% of code in a week, global tax filing shipped in 1/3 the time the US version took, and after AI made sellers 20% more productive, Stripe hired even more sellers.
President of Technology & Business @gaybrick sits down with a16z's David George to cover why there's no one left for Stripe to copy, why checkout pages will disappear, how agents plus stablecoins make micropayments real, and why tokens are becoming a currency worth protecting like dollars.
00:00 Intro
01:00 From payments to 30 products
02:30 1 in 6 free trials abused
05:50 Win the startups, then win them again
09:40 Borrowing from Google, Apple, and Ford
14:30 Minions: 7K one-shot PRs a week
18:45 Building everything vs. cutting costs
26:00 Why timelines keep compressing
29:50 What replaces the checkout page
34:20 The case against $9.99 subscriptions
37:20 Stablecoins solve a political problem
41:35 Tempo, a payments-only blockchain
43:10 Tokens are money now
49:00 How Stripe scales taste
https://t.co/MW8kTxfcpq
@gaybrick@DavidGeorge83
Designers are the unhappiest people in tech.
I sat down with @OpenAI's Head of Design @iansilber to talk about why—and why he still thinks this is the best time in history to be one.
We discuss:
🔸 His theory for why designers are so unhappy right now
🔸 Why he thinks this is the best time in history to be a product designer
🔸 His hot take that AI is already an incredible product designer
🔸 How OpenAI designs at two speeds
🔸 How Ian thinks about craft, taste, and what will be left for humans
Listen now 👇
https://t.co/dHSL5lXXv4
Anders Hejlsberg ( @ahejlsberg ) is the creator of TypeScript and C#, and I asked him about how the TypeScript compiler got 10x faster through a rewrite in Go and his thoughts on how AI has impacted software engineering.
In this episode:
• How rewriting the compiler makes it 10x faster
• Why they picked Go instead of Rust
• Why they didn't use LLMs for the migration
• Predictions on AI's impact on software engineering
Where to watch:
• YouTube - https://t.co/h4WaILM1u6
• Spotify - https://t.co/tl9pLEKQmb
• Apple Podcasts - https://t.co/jOYDGtHtd1
• Transcript - https://t.co/mCS76KpPr7
Thank you to the sponsors of this episode for supporting my work:
• WorkOS: makes your app Enterprise Ready with easy to use APIs to add SSO, SCIM, RBAC, and more in just a few lines of code, check them out at https://t.co/y8noBzGc3U
• Jira by Atlassian: Get more work done with your favorite agents and models all in one place, check them out at https://t.co/ALUmdUvYHZ
Chapters:
00:00 Intro
00:48 Why write a compiler in JavaScript
07:29 Why rewrite the compiler in Go
14:49 LLMs for large migrations
20:12 Why Javascript is so popular
26:32 Why ever use Javascript on the backend
32:59 What it takes to build a programming language
37:06 Will there be fewer languages in 10 years
42:57 Hands on engineering vs delegation
49:14 Why fast tooling matters more now
51:16 AI software engineering predictions
58:52 The most technically challenging work
01:02:04 Top book recommendation
01:03:50 Advice for his younger self
01:05:00 Outro
🚨¡BOMBAZO! El ingeniero que creó Claude Code desde cero acaba de soltar un video de 28 minutos que es puro oro:
cómo escribir prompts que realmente entregan resultados brutales.
He visto cursos de 300 dólares que no llegan ni a la suela de lo que él explica en los primeros 10 minutos.
Archivos CLAUDE.md, atajos de memoria, sesiones paralelas y patrones de prompting que casi nadie usa…
Todo en un solo video. Completamente gratis. Sin relleno.
Da igual si eres desarrollador, estás empezando o ya llevas meses con Claude: esto te cambia el juego desde hoy.
Guárdalo. Míralo. Compártelo.
4 billion payments. 3 trillion data points. One model trained on all of it.
Meet @Razorpay Vulcan - India’s first transformer-based AI foundation model for payments.
Built, trained and hosted in India, in partnership with @nvidia and @awscloud.
Until now, every payments problem was solved separately: routing, fraud, risk, personalisation and more.
We asked: What if one model could understand how money moves?
And like LLMs are trained on text to understand language, Vulcan is trained on payments to understand how money moves.
Already running in beta across 51,000+ businesses, Vulcan is delivering:
- 8–10% improvement in payment success rates - the ultimate measure of whether a payment simply works.
- 8x more international card fraud detected.
- 5x more fraudulent or disputed transactions identified.
- 1–2 lakh more purchases completed every month through better checkout personalisation.
And we’re just getting started. The best part? Every payment Vulcan sees makes the next one smarter.
We’ve spent years building the infrastructure that moves money for India. Now, we’re building the intelligence that understands and improves it. 🔥
Andrej Karpathy spent 8 years at OpenAI and Tesla
Last week, he packed everything he knows into one free 2-hour lecture
Agents → Loops → Graphs → Self-Improving Systems
People pay $15K for bootcamps that teach less than this
This lecture is better than most paid AI engineering courses
You probably don't have 2 hours right now
Don't let this disappear from your feed
Watch it
Then read the guide below
Elon Musk on the first principles mistake almost everyone makes when building something
"People will start with the tools and parts and methods they're familiar with, and try to create a product using their existing tools. The other way is to imagine the platonic ideal of the perfect product. What is the perfect arrangement of atoms that would be the best possible product? And now figure out how to get the atoms in that shape"
Lex: "It sounds almost like Rick and Morty absurd until you really think about it. If you don't, you might fall victim to the momentum of the way things were done in the past"
"Just as a function of inertia, people use the same tools and methods they're familiar with, which leads to things that can be made with those tools, but is unlikely to be the perfect product"
"That theoretical perfect product is a moving target, because as you learn more, the definition changes. You don't actually know what the perfect product is, but you can successfully approximate a more perfect product. People very rarely think about it that way, but it's a powerful tool"
Doing the bare minimum is worse than not doing something. Everything has an opportunity cost, the time you spend doing something you don't feel like doing is a waste of your own and everyone else's time.
When you sign up for something, put genuine efforts in it. When you stop feeling like putting efforts, it is a sign to find something else that you can put your heart and soul into.
Andrej Karpathy:
"Prompting is fading away. Delete everything else and keep the graph."
In 1 hour he explains why the graph is the layer that survives, and how to build one
LLMs → Prompts → Agents → Graphs
everything before the graph is a step
the graph is where the system ends up
this lecture is worth more than most $1,000 agent engineering courses
watch it today
then save the full guide below before everyone catches up ↓
A Chinese developer just explained the shift from Loop Engineering to Graph Engineering better than anyone.
most people are still building agents the way that's about to be obsolete.
> why single-agent loops break and go "goal blind"
> the 4 parts of a graph: nodes, edges, state, policy
> 3 topologies that run everything: diamond, supervisor, pipeline
> Anthropic's 5 official workflow patterns
the punchline: it's not how many agents you run. it's the determinism you build with verifiers, code fallbacks, and reality anchors.
I broke the same architecture down with Kimi K3. Full A-Z guide below.
turned the Dynamic Island into a receipt printer.
rip it slow → clean, perfect tear
rip it fast → jagged edge
Apple Pay receipts should feel like this.
The dynamic island is the most undervalued apple invention…
File Explorer is where a lot of everyday Windows work happens.
Opening folders. Renaming files. Moving between local and cloud content. Right-clicking to take the next step. When those moments feel slow, interrupted, or cluttered, you notice.
In today’s Windows Insider release: faster launch, fewer hangs and delays, better everyday details, and a right-click menu that’s simpler, faster, and more customizable.
Read more: https://t.co/j9GXKoPzfb
Origin, our code hosting platform, is now live.
It's fast, easy to use, and deeply integrated with Cursor.
Get started by syncing your repos from GitHub.
🚨 FC 27 The Grounds Details
• ✅ 11v11 / 4v4 / 3v3 / 2v2 / 1v1
• ✅ 100 Players Per Lobby
• ✅ Player Emotes
• ✅ Pro Clubs moved to the grounds
Will you be playing? 🤔
An all-new social playground, with Clubs at the core. Here’s what’s coming to The Grounds in #FC27:
🌍 Open world
🎮 All-new game modes
⚽️ Progress your Pro
Pre-order now: https://t.co/UGJlYOVDwL