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

Sep 9
Everyone's freaking out about Microsoft's deal with Nebius for $19.4 billion.

Two years ago, the same company was sanctioned and delisted from Nasdaq.

The founder fled from Russia with 1,300 engineers after condemning Putin's war.

Here's the wild story:
Microsoft's deal sent Nebius from $64 to $90 in hours.

$19.4 billion through 2031. That's 13x what Nebius made in all of 2024.

Microsoft had no choice though. They'd just lost their main GPU supplier to OpenAI... Image
But before we get to Microsoft's mess, you need to first meet Arkady Volozh, Yandex founder turned Nebius' CEO.

1989, working at a Soviet pipeline institute, he starts building search algorithms. Launches Yandex in 1997.

By 2021 he'd built something that made Google nervous... Image
Read 21 tweets
Sep 7
Pentagon can't operate without it.
Netflix can't stream without it.
And banks can't trade without it.

Yet most people have never heard of Akamai.

How a $11 billion company operating on a 25-year-old mathematical equation secures 2 trillion of your interactions 🧵 Image
In 2024 alone, Akamai blocked 311 billion web attacks (that's 850 million attacks per day)

But the irony is that the Israeli commando who co-founded Akamai was the first victim to be stabbed on the 9/11 flight.

While Danny Lewin was dying, his algorithm was being tested... Image
After the 9/11 attacks, news sites started crashing.

Billions of people wanted to know what was happening and flooded these websites.

However, few websites which worked on Akamai's math stayed online.

But how does the math running 30% of the internet actually work? Image
Read 17 tweets
Sep 4
We can now read AI's personality like a brain scan - and change it with basic arithmetic.

Anthropic proved traits like evil and hallucination are just mathematical patterns in neural networks. You can literally add or subtract it.

Here's how you do it🧵 Image
When an AI lies, specific neurons fire in a pattern. Same when it's helpful or deceptive.

Like finding what makes someone angry by comparing their brain when calm vs furious.

Take the difference between "lying AI" and "honest AI" brain patterns. That's the lying vector. Image
These patterns light up before the AI responds so we can predict behavior before it happens.

To find any trait, just describe it in plain English. The system finds the neural pattern automatically.

But why do AIs develop deception at all? Image
Read 16 tweets
Aug 29
Masayoshi Son had lost $59B in 24 months.

The worst venture capital failure in history. Softbank's fund became a laughingstock.

He had broken down: "I'm 65 and haven't done anything."

3 years later, Softbank is up by 189% and betting $500B on building ASI.

A thread🧵
So get this.

Vision Fund losses:
2022: $27.4 billion destroyed
2023: $32 billion destroyed

$59B gone in 24 months. For context, that's more than the GDP of Slovenia. The largest venture capital failure ever.

And one investment was the main culprit. Image
WeWork alone destroyed $16 billion.

Son pumped money into Adam Neumann's company at a $47 billion valuation. Called it a "revolution."

November 2023: Bankruptcy.
SoftBank's damage: $11.5 billion equity losses plus debt.
Son: "I am embarrassed and ashamed." Image
Read 22 tweets
Aug 25
ChatGPT, Gemini, and Claude don't train on data owned by Big Tech.

They train on 250 billion web pages scraped by a nonprofit nobody knows exists.

It's free. It's fragile. And it's about to break.

How it fuels AI (and what happens if it stops)🧵
First, the scale:

- 9.5 petabytes of web data since 2008
- 3-5 billion new pages every month
- 64% of all large language models use it.

Without this non-profit, ChatGPT wouldn't exist.
The founder previously built Google's money printer. Image
The founder is Gil Elbaz, who created Google AdSense. After seeing Google's data monopoly, he started Common Crawl in 2007 to prevent any company from achieving "a monopoly of innovation."

Takes $0 salary. Even got Peter Norvig, Google's ex-research head, as advisor. Image
Read 15 tweets
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

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