@CreaoAI Big unlock. @creaoai is pushing agents into real
Agents don’t break, they drift.
https://t.co/YBSmLVB3NF makes sure what gets built actually works:
validate every call, enforce schema, catch drift before it compounds.
Build with Creao. Trust it with Driftgentic.
@creaoai is turning prompts into real apps.
But agents don’t break, they drift.
https://t.co/YBSmLVB3NF
•validates every step
•enforces schema
•catches drift early
Creao builds it. Driftgentic keeps it working.
@manishkumar_dev@CreaoAI@creaoAI is building something real.
But agents don’t break, they drift.
One bad call → silent errors → lost trust.
https://t.co/YBSmLVB3NF fixes it:
•validates every step
•enforces schema
•catches drift early
If Creo is the brain, Driftgentic keeps it consistent.
The math on this project should mass-humble every AI lab on the planet.
1 cubic millimeter. One-millionth of a human brain. Harvard and Google spent 10 years mapping it. The imaging alone took 326 days. They sliced the tissue into 5,000 wafers each 30 nanometers thick, ran them through a $6 million electron microscope, then needed Google’s ML models to stitch the 3D reconstruction because no human team could process the output.
The result: 57,000 cells, 150 million synapses, 230 millimeters of blood vessels, compressed into 1.4 petabytes of raw data. For context, 1.4 petabytes is roughly 1.4 million gigabytes. From a speck smaller than a grain of rice.
Now scale that. The full human brain is one million times larger. Mapping the whole thing at this resolution would produce approximately 1.4 zettabytes of data. That’s roughly equal to all the data generated on Earth in a single year. The storage alone would cost an estimated $50 billion and require a 140-acre data center, which would make it the largest on the planet.
And they found things textbooks don’t contain. One neuron had over 5,000 connection points. Some axons had coiled themselves into tight whorls for completely unknown reasons. Pairs of cell clusters grew in mirror images of each other. Jeff Lichtman, the Harvard lead, said there’s “a chasm between what we already know and what we need to know.”
This is why the next step isn’t a human brain. It’s a mouse hippocampus, 10 cubic millimeters, over the next five years. Because even a mouse brain is 1,000x larger than what they just mapped, and the full mouse connectome is the proof of concept before anyone attempts the human one.
We’re building AI systems that loosely mimic neural networks while still unable to fully read the wiring diagram of a single cubic millimeter of the thing we’re trying to imitate. The original is 1.4 petabytes per millionth of its volume. Every AI model on Earth fits in a fraction of that.
The brain runs on 20 watts and fits in your skull. The data center required to merely describe one-millionth of it would span 140 acres.
This is one of the clearest breakdowns I’ve seen of what’s actually happening. The key insight isn’t “LLMs kill vertical software.” It’s that they selectively dismantle the interface and workflow moats while leaving proprietary data, regulatory lock-in, transaction embedding, and network effects largely intact.
The part that really resonates is the collapse of learned interfaces and hardcoded business logic. If workflows can move from thousands of lines of production code to readable markdown “skills,” the barrier shifts from engineering capacity to domain clarity. That’s a structural change.
I’d add one nuance: the agent layer itself may become the new aggregator. If the agent owns the user relationship and memory, then even companies with strong data moats risk being upstream suppliers unless they also own distribution. Aggregation theory doesn’t disappear - it just moves up a layer.
The selloff makes sense in that light. Multiples were built on interface lock-in and limited competition. If competition goes from 3 to 300 and the interface moat collapses, pricing power has to compress.
The real dividing line won’t be “vertical vs AI.” It’ll be:
•Do you own truly proprietary data?
•Are you embedded in regulation or transaction flow?
•Or were you primarily a search + workflow layer over licensable data?
That’s the repricing happening in real time.
@wilding_gyres I worked with a ling long his name was Shen he was older and great engineer We got him a vape. Became known as dragon man. Only person allowed to vape indoors.
Today as the Dead faithful celebrated the life of Bob Weir, John Mayer delivered perhaps the only “Ripple” that’s ever made me smile-cry… Highly suggest.😔
Okay Bob. I’ll do it your way.
Fkn’ A…
Thanks for letting me ride alongside you. It sure was a pleasure.
If you say it’s not the end, then I’ll believe you.
I’ll meet you in the music.
Come find me anytime.
JohnBo
@VicLombardi Miami is gonna get smoked by Indiana and ND would have lost to Oklahoma if they got in. So no they would not have a chance to do the same.
@SBJ 16 team playoff - 6 conference champions and 10 highest ranked remaining teams. No Top 12 Guaranteed inclusion for entitled babies that are not in a conference.
@amazing_physics@elonmusk spaceX and tesla collab could make this happen more cost efficiently than anyone else I presume. Can’t let Japan beat us to it. Let’s Go!