Alex Vacca Profile picture
Jun 18 13 tweets 4 min read Read on X
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) Image
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. Image
Brain scans revealed the damage: neural connections collapsed from 79 to just 42.

That's a 47% reduction in brain connectivity.

If your computer lost half its processing power, you'd call it broken. That's what's happening to ChatGPT users' brains. Image
Teachers didn't know which essays used AI, but they could feel something was wrong.

"Soulless."
"Empty with regard to content."
"Close to perfect language while failing to give personal insights."

The human brain can detect cognitive debt even when it can't name it. Image
Here's the terrifying part: When researchers forced ChatGPT users to write without AI, they performed worse than people who never used AI at all.

It's not just dependency. It's cognitive atrophy.

Like a muscle that's forgotten how to work.
The MIT team used EEG brain scans on 54 participants for 4 months.

They tracked alpha waves (creative processing), beta waves (active thinking), and neural connectivity patterns.

This isn't opinion. It's measurable brain damage from AI overuse.
The productivity paradox nobody talks about:

Yes, ChatGPT makes you 60% faster at completing tasks.

But it reduces the "germane cognitive load" needed for actual learning by 32%.

You're trading long-term brain capacity for short-term speed.
Companies celebrating AI productivity gains are unknowingly creating cognitively weaker teams.

Employees become dependent on tools they can't live without, and less capable of independent thinking.

Many recent studies underscore the same problem, including the one by Microsoft: Image
MIT researchers call this "cognitive debt" - like technical debt, but for your brain.

Every shortcut you take with AI creates interest payments in lost thinking ability.

And just like financial debt, the bill comes due eventually.

But there's good news... Image
Because session 4 of the study revealed something interesting:

People with strong cognitive baselines showed HIGHER neural connectivity when using AI than chronic users.

But chronic AI users forced to work without it? They performed worse than people who never used AI at all.
The solution isn't to ban AI. It's to use it strategically.

The choice is yours:
Build cognitive debt and become an AI dependent.
Or build cognitive strength and become an AI multiplier.

The first brain scan study of AI users just showed us the stakes.

Choose wisely. Image
Thanks for reading!

I'm Alex, COO at ColdIQ. Built a $4.5M ARR business in under 2 years.

Started with two founders doing everything.

Now we're a remote team across 10 countries, helping 200+ businesses scale through outbound systems. Image
RT the first tweet if you found this thread valuable.

Follow me @itsalexvacca for more threads on outbound and GTM strategy, AI-powered sales systems, and how to build profitable businesses that don't depend on you.

I share what worked (and what didn't) in real time.

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More from @itsalexvacca

Aug 20
Meta, Google, and Microsoft all use encryption built by the same 50-person nonprofit.

Zero revenue from 2 billion users. The founder uses a fake name. And when the FBI subpoenaed them, they only provided 2 pieces of data.

Here's how a non-profit secures the internet🧵
In 2013, a tiny nonprofit had just 3 developers building encrypted messaging that no government could crack.

Their leader went by "Moxie Marlinspike" - not his real name.

WhatsApp founders were tracking their journey. Image
2014: WhatsApp sells to Facebook for $19 billion.

But the founders, Brian Acton and Jan Koum, are privacy hardliners. They partnered with Moxie's 3-person nonprofit to integrate military-grade encryption.

Facebook had no idea what was coming... Image
Read 17 tweets
Aug 18
Everyone laughed at Nadella’s “crazy” $26B LinkedIn purchase.

Now it drives more SaaS revenue than some entire Fortune 500 firms.

$200B+ in value from one move.

Here’s how Satya Nadella quietly made Microsoft’s smartest acquisition ever: 🧵 Image
2014: Satya Nadella became Microsoft’s 3rd CEO.

The company was worth $300B
Windows sales were flat
Cloud growth was slow

He needed a bold bet to pull Microsoft out of its comfort zone.

And it would come from the last place people expected… Image
Nadella’s vision: make Microsoft the “connective tissue” for every worker on the planet.

That meant owning both the tools and the audience.

He had ONE platform in mind...

A platform most analysts didn’t think was worth touching.
Read 17 tweets
Aug 14
In 1936, an airplane engineer discovered a formula that would predict 99.6% collapse in solar panel prices.

It's the same formula that explains why EVs will be 50% cheaper than gas cars by 2030, and why AI training costs are dropping 65% a year.

Here's how it works🧵 Image
Theodore Wright was studying airplane manufacturing in 1936 when he noticed a pattern.

Every time total production doubled, labor costs dropped by 10-15%.
Not sometimes. Every single time.

He had no idea he'd just discovered the formula that would predict every tech cost curve for the next century.Image
The formula: When cumulative production doubles, costs drop by a fixed percentage.

Solar panels: 20% drop per doubling
Lithium batteries: 19% drop per doubling
AI training hardware: 37% drop per doubling

But nobody believed this could hold for 40+ years straight. Until...
Read 19 tweets
Aug 8
Out of 9,000 companies at YC, only 164 (1.82%) went on to become unicorns.

Whereas the hit rate for Thiel Fellowship is 13.79% (40 out of 290 companies became unicorns).

These companies together control >$220 Billion in market cap. The question is how?

Thread Image
First, look at some of the companies founded during Thiel Fellowship:

• Ethereum: $450 Billion
• Figma: $68 Billion
• Ramp: $16 Billion
• OYO Rooms: $9 Billion
• Scale AI: $7 Billion Image
Peter Thiel started the fellowship due to his hate for colleges.

According to Thiel, colleges only mean 2 things for people:

• It's an investment against the societal failure
• Its credential-based system gives people the feeling of joining an elite group
Read 13 tweets
Aug 6
Tech debt almost killed Notion. With only a few weeks' runway left, the founders left SF, moved to Kyoto, & rewrote the entire app.

No launch. No hype. Just a quiet resurrection. Today, Notion's worth $10B.

Their monk-mode product strategy every founder should study: Image
Image
Notion was dead in 2015.

The app crashed constantly. Users lost their work. The code was so broken they couldn't ship new features. Investors walked away.

The founders fired everyone to save money. Cash was almost gone.

Then they made a decision that changed everything... Image
Ivan Zhao and Simon Last bought one-way tickets to Japan.

Shut down their SF office. Moved into a tiny Kyoto apartment with paper-thin walls. Nobody spoke English. They didn't speak Japanese.

Nothing to do but code.
They called it "monk mode." Image
Read 20 tweets
Aug 4
Before AWS existed, one company ran the servers for Twitter, LinkedIn, and Facebook's entire app ecosystem.

They owned Node.js, invented containers 8 years before Docker, and Peter Thiel even backed them.

Then something happened...
In 2004, a cancer researcher turned entrepreneur named Jason Hoffman started a cloud company called Joyent.

While Amazon was still figuring out AWS, Joyent was already hosting the internet's hottest startups.

Their client list would make your jaw drop. Image
Twitter's early infrastructure ran on Joyent servers.

LinkedIn scaled on Joyent.

When Facebook opened to third-party apps in 2007, Joyent partnered with Dell to host them all.

But that's not even the craziest part. Image
Read 18 tweets

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