'Superintelligent AI will, by default, cause human extinction.'

Eliezer Yudkowsky spent 20+ years researching AI alignment and reached this conclusion.

He bases his entire conclusion on two theories: Orthogonality and
Instrumental convergence.

Let me explain 🧵 But first, let's take a glimpse at how fast AI learns.

Stockfish was the world champion chess engine, built over decades by programmers & grandmasters.

Whereas AlphaZero started chess knowing literally nothing. Not even how pieces move.

But within 4 hours, it destroyed Stockfish.

BREAKING: MIT just completed the first brain scan study of ChatGPT users & the results are terrifying.

Turns out, AI isn't making us more productive. It's making us cognitively bankrupt.

Here's what 4 months of data revealed:

(hint: we've been measuring productivity all wrong) 83.3% of ChatGPT users couldn't quote from essays they wrote minutes earlier.

Let that sink in.

You write something, hit save, and your brain has already forgotten it because ChatGPT did the thinking.

BREAKING: Yesterday, Sam Altman dropped a blog post claiming ChatGPT is more powerful than any human who has ever lived.

According to Sam, the AI singularity isn't coming. It's already here. We just didn't notice.

His 10 most shocking observations: 🧵 1. Scientists are already 2-3x more productive than before AI.

Not in some future lab. But right now. And here's what's crazy: we're using these AI systems to research better AI systems.

It's like having a smart person help you get smarter, who then helps you get even smarter.

Humanity's progress is accelerating insanely fast:

Stone Age→Farming: 100,000 yrs
Farming→Steam: 12,000 yrs
Steam→AI: 200 yrs

2000-2014: 100 years of progress in 14.
Moore's Law predicted 32x. AI chips did 1000x.

Law of Accelerating Returns is getting weird with AI🧵👇🏻 This acceleration is so extreme that Tim Urban created a term for it: the "Die Progress Unit."

Meaning: If you grabbed someone from 1750 and brought them to 2025, they wouldn't just be shocked.

They'd literally die. Their brain would freeze from the shock.

CIA can't operate without it.
Pentagon can't function without it.
And Wall Street can't trade without it.

Yet most people have no idea about what Palantir does.

How the Government let a $300 Billion surveillance company track you everywhere 🧵 Palantir is the software that's used:

• By agencies to hunt terrorists
• By Ferrari to optimize F1 strategies
• By banks to check if you'll become a loan defaulter
• By airlines to fix issues before any crash occurs

By the end of this thread, you'll know what Palantir is 👇

🚨BREAKING: Steve Jobs' widow effectively declared smartphones a mistake.

Laurene Powell Jobs revealed today she's backing Jony Ive's screen-free AI that monitors your entire life.

"We've gone sideways," she says about smartphones.

The $6.5B bet against Apple: 🧵👇 In today's Financial Times interview, Powell Jobs finally revealed what insiders suspected: she's been the secret force behind Jony Ive since he left Apple.

"Without Laurene, there wouldn't be LoveFrom," Ive admitted.

Now she's watched him build prototypes of OpenAI's $6.5B gamble. She called them "wondrous."

Anthropic's CEO claims AI hallucinates less than humans.

Bold statement.

So I decided to test it by feeding the same FAKE theories to ChatGPT, Claude, and Gemini to see which one calls me out first.

The results shocked me 🧵 I created two completely fabricated stories about Elon Musk from his biography.

Both were detailed, plausible-sounding, but 100% fake.

Then I fed them to each AI model to see who would catch my lies.

This SaaS startup was burning VC money with no traction.

Their solution? A radical experiment combining 4 sales roles into one.

18 months later: $1.5B valuation and 8,000+ customers including OpenAI.

How a desperate move created Silicon Valley's hottest new job 🧵 Clay today:

- Valuation: $500M → $1.5B in 18 months
- Revenue growth: 10x in 2023, 6x in 2024
- 8,000+ customers including OpenAI & Anthropic

The shift?

They ignored the usual SaaS playbook, and did what no investor would’ve recommended..

No one has probably noticed this before...

But a $10B family-owned business (LEGO) and a $3T company (Apple) have something in common.

Both businesses were on the verge of bankruptcy due to the same reason once.

And they saved themselves by doing the same thing. How? 🧵 Let's talk about Apple first.

In 1985, the board fired Steve Jobs and made John Sculley the CEO.

Reason being Jobs would focus on making "perfect" products instead of profitability.

On top of that, the Lisa computer was a commercial failure.

This company hasn't had a manager in 65 years.

They've produced 5,600 patents and $4 billion in revenue with ZERO formal hierarchy.

Employees choose their own work and set each other's pay.

And they're outperforming every competitor in their industry.

A thread🧵 Gore's achievements are one to pay attention to:

- Over 13,000 employees
- $350,000 revenue per employee
- Been on Fortune's "100 Best Companies to Work For" every year since the list began in 1984

And they have achieved that with ZERO traditional management layer.

The question is HOW?

In 2013, a 21-year-old emailed Mark Cuban from a Motel 6 after watching Shark Tank.

Cuban replied in 45 minutes.

That cold email eventually led to 230M+ in funding an AI company that predicts laws before Congress.

How a 5-line cold email started it all 🧵 That 21-year-old was Tim Hwang. At 17, he was elected to Maryland's Board of Education, overseeing a $4 billion budget.

At 19, he founded the National Youth Association with 750,000 members.

But his work on Obama's campaign exposed a government problem nobody had solved...

(Tim with NVIDIA's Jenson Huang 👇🏻)

Steve Jobs, Elon Musk, Jeff Bezos.
They all scaled by thinking backwards.

I used the same principle to grow my startup ColdIQ from $0 to $4.5M ARR in 2 years.

It’s not about working harder.
It’s about engineering outcomes.

The system behind 10x growth: 🧵 It’s called Theory of Change.
A framework to reverse engineer outcomes.

Start by asking:

- What must happen? (terminal impact)
- What must happen before that? (pre-conditions)
- What triggers it? (Causal actions)

Thinking backwards from impact to actions is Theory of Change.

In 1996, Andrew Grove, Intel's legendary former CEO, warned about the silent killer of great companies:

Strategic Inflection Points.

Moments when markets shift: silently at first, then suddenly.

AI is one of those moments.

Here's what Grove saw that others missed:🧵
During an MIT lecture, Grove described Strategic Inflection Points as a 10x force.

A shift so fundamental, your entire business model may no longer work.

The real danger?
These shifts arrive quietly.

By the time you see the full picture, you’re already behind.

Working under Sam Altman showed me why most founders fail at scaling.

I applied his operational thinking to scale my startup ColdIQ from $0 to $4M ARR in just 2 years.

The counterintuitive lessons you won't find elsewhere: 🧵 Lesson #1: "A startup should perpetually operate at the edge of instability."

Most founders try to build perfect systems. But operational perfection is actually premature optimization that kills innovation.

The tension of "controlled chaos" is where breakthroughs happen.

In 2008, Airbnb's founders were 72 hours from giving up.

$30k in credit card debt, 7 rejections from investors, and selling cereal boxes just to stay afloat.

Today? $100B+ valuation.

The turning point? A single email.

Here's how one message saved what became a tech giant:🧵 Airbnb (then "AirBed & Breakfast") had already launched TWICE with minimal traction.

They sought $150K for 10% of the company, valuing it at a modest $1.5M.

5 investors explicitly rejected them.
2 didn't even bother responding.

What happened next changed everything.