Ryan Montano

@CreaoAI Big unlock. @creaoai is pushing agents into real Agents don’t break, they drift. driftgentic.com makes sure what gets built actually works: validate every call, enforce schema, catch drift before it compounds. Build with Creao. Trust it with Driftgentic.

Introducing CREAO: the Super Agent that delivers beyond the chat window. Describe what you need. CREAO builds it live. Save it as an agent. Run it on schedule. While you focus on what's next. Chat. Create. Run it all. #CreaoAI

@shedntcare_ Make sure it keeps working monitor driftgentic that’s the combo driftgentic.com

The interesting part isn’t that it works. It’s that it keeps working. AI builds it once. After that, it’s just infrastructure running in the background. This is what I used: creao.ai #CreaoAI

The ideas were never the problem. It was the late nights fixing APIs, logins, and broken flows. CREAO removes the chaos and just gets it done.

@creaoai is turning prompts into real apps. But agents don’t break, they drift. driftgentic.com •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. driftgentic.com fixes it: •validates every step •enforces schema •catches drift early If Creo is the brain, Driftgentic keeps it consistent.

This feels like where AI actually becomes useful beyond just chat. @CreaoAI works more like a super agent, turning conversations into reusable workflows that run, remember, and execute with real tools. After the first setup, it just keeps running on schedule. #CreaoAI

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.

@LeBatardShow @ZaslowShow @__ChrisCote Big Toe and the Ginger

Name this Wrestling Duo 🤼 Top 5 names will be read on today’s Postgame Show💥

@__ChrisCote Michael Jordan

What's the funniest thing from the (3-day) sports weekend?

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.

@JAM_I_AM_23 No doubt. Even remove the seriod years he’s in the convo.

My 1st love was baseball so I have a baseball question. Is Barry Bonds the greatest baseball player who ever lived?

@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.😔

@TheCinesthetic Eastbound & Down

What’s an HBO series (that’s not The Wire, The Sopranos or GOT) that y’all would recommend?

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.

Painful reminder: Notre Dame lost on a last minute field goal at Miami in the season opener with a rookie quarterback making his very first start. Wouldn’t be surprised if Miami wins it all. But you can’t tell me Notre Dame didn’t have chance to do the same. Damn committee.

@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.

Yormark backs 16-team CFP expansion🏈 Big 12 commissioner Brett Yormark reiterated his support for expanding the College Football Playoff to 16 teams and said commissioners will meet multiple times before the Jan. 23 deadline. He favors five automatic bids for conference champions and wants to explore extending on-campus playoff games beyond the first round, calling the current format a differentiator. (via Dallas Morning News)

@63Ted63 @Insidetheirish Why are we even talking about Indiana? ND would have lost to OU. 🤡

@RyMontano @Insidetheirish beat indiana last year clown cope harder

Notre Dame should have been in the College Football Playoff over Alabama. You know it, I know it, we all know it. Nothing else to say.

@TheRealCoach_JB @Darnell_Smith95 Sure….

@Darnell_Smith95 I got hacked homie duh

Huh? 👀

@colinmac2025 @TheRealCoach_JB @CAgovernor Always hanging with dudes never a girl in sight

@TheRealCoach_JB @CAgovernor He must like cats better than pussy

So California my great fucked up state has banned cats from getting declawed! Yay! The good news is @CAgovernor still allows 13 year old boys to get their dicks cut off without parental consent! Makes great sense

@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!

Japan has successfully tested a system that generates electricity in space and transmits it wirelessly back to Earth. Solar panels placed in orbit collected energy and sent it to a ground station using microwave transmission. Once received on Earth, the microwave energy was converted back into usable electricity. This demonstrates that power can be harvested beyond the planet and delivered without physical cables or fuel transport. Unlike ground-based solar power, space-based systems can collect energy continuously without weather, clouds, or night cycles. This makes the concept especially attractive for stable, large-scale renewable energy production. The test represents an early but critical step toward future space-based solar farms. Engineers believe much larger arrays could eventually provide clean power to cities or remote regions. Experts see this as a potential shift in how humanity produces energy, blending space technology with climate-focused solutions. While still experimental, the success confirms the concept is technically feasible. via Paul Koti, LinkedIn