What if you could think 1000x faster?
Not metaphorically—literally.
That’s what we’re up against with large language models like GPT-4.

While most people are still asking “How smart will these models get?”, they’re missing the real shift: thinking speed. Not brilliance. Not creativity. Just raw, relentless, high-bandwidth cognition.

Humans process about one meaningful thought every 5–10 seconds.
GPT-4? It processes 1000 tokens per second—roughly 750 words. That’s the equivalent of digesting the content of several books per minute. And not just reading—but pattern-matching, reasoning, and generating.

This isn’t a fair race. It’s not even a race anymore.

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Humans vs. Machines: Not About IQ Anymore

Let’s break it down:

Capability	Humans	LLMs (GPT-4+)
Thought Speed	1 idea / 10s	1000 tokens / sec
Learning Time	Years	Seconds
Memory	7±2 chunks	8K–1M+ tokens
Communication	16 bits/sec (speech)	24,000 bits/min
Replication	None	Infinite

While you’re processing one well-formed idea, an LLM has already simulated 1,000 possible futures.

What does this mean for work, for skill, for what we measure?

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If Speed is Solved, What’s Scarce Now?

The old world rewarded those who thought faster, memorized better, read more.
In the post-LLM world, that’s just compute.

The value frontier has shifted:

• From knowledge → to interpretation
• From IQ → to judgment
• From work ethic → to originality
• From speed → to signal

The LLM will outlearn you. Outthink you. Outproduce you.
But it can’t out-decide you—if you’ve honed your inner compass.

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Redefining SGI: The Skill Growth Index That Actually Matters

The reason I’m telling you this isn’t to preach doom.
It’s to push a recalibration—in how we measure, build, and grow talent.

The old signals—test scores, degrees, years of experience—are brittle.
In the age of infinite cognition, they’re meaningless proxies.

What we need instead is a Skill Growth Index that captures:

• 🌐 How fast you adapt to new contexts.
• 🤖 How well you co-pilot with AI.
• 🧠 Your ability to generate original insight amid a sea of generated content.
• 🧭 Your judgment under uncertainty, not just your answers under pressure.

In short: SGI should measure what humans are uniquely good at—not what LLMs are already optimizing.

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The Future Isn’t a Race. It’s a Filter.

Let me leave you with this:

“In a world where thinking is cheap and infinite, judgment becomes priceless.”

And that’s what SGI should measure—not how fast you can think, but whether you think well when it counts.