Michael Jedamski

🇩🇪 in 🇨🇷, System thinker, ~15 years in global Enterprise/Consulting/SaaS, Solution Specialist @ardoqcom, let’s talk CX/Strategy/Tech/Web3/Life

[Lionel Mora @lionel_mora]

Today we're launching the new Marble beta, the first personal learning world for kids built as a videogame.

It’s designed to nurture curiosity, grow self confidence, and it starts on a cool mysterious island.

In that world kids learn through exploration, creation and conversation.

Everything is interactive, and their path is guided by characters who all have their own personality and field of expertise.

The game is anchored in a robust curriculum but nothing is scripted. Marble adapts to every kid, meets them where they are and allows them to follow their interests in a safe environment.

We got 15,000 families on waitlist and the new beta is now available on the App Store (iPad, Mac, iPhone).

If you want a tour of the island before you get there with your kids, we were on live TV yesterday evening 👀📺👇🏻

Incredible times for kids education.

[Michael Jedamski @MichaelJedamski]

@MaximLevoshin Lots of us parents thinking about solving education for our children ourselves 💪🙌

[Michael Jedamski @MichaelJedamski]

@TechWith_Nova Skill

[Aakash Gupta @aakashgupta]

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.

[Sahil Bloom @SahilBloom]

I’m convinced that you can get pretty damn far in life by just doing the old fashioned things well. Stand up straight. Look people in the eye. Do what you say you'll do. Be on time. Have a confident handshake. Be kind. Few live up to this standard. It’ll never go out of style.

[Michael Jedamski @MichaelJedamski]

@v_computer Looks amazing, would love to give it a try🙌

[naiive @naiivememe]

People who've been in crypto more than 3 cycles

[Shruti @heyshrutimishra]

AI Industry Made $57 Billion Mistake and No One’s Talking About It.

While GPT-5 headlines kept you distracted...

NVIDIA quietly released a bold claim:
→ Small Language Models (SLMs) are the future of AI agents

Cheaper, faster and just as capable for 80% of real-world tasks.

Easily one of the biggest shifts in AI this year and most people missed it.

99% people haven’t read this but they should: 🧵

[Cline @cline]

"How do you make money?"

"Why?"

We've been asked this question for months. It highlights our contrarian business model: aligning our incentives with our users to build the best coding agent.

(and ensuring long-term profitability)

🧵

[Anthony Pompliano 🌪 @APompliano]

Powerful.

[Garry Tan @garrytan]

Something absolutely everyone should be doing right now, to get ahead of the coming wave of AI change:

Identify toilsome tasks in your work and life that AI could handle, freeing you up for higher-value activities.

There is massive alpha in being the 1st expert in your field.

[Michael Jedamski @MichaelJedamski]

Wow, just realized what a waste of money a $39 subscription to Copilot was as a beginner, now that I see what can be done with $0.5 via @cline & @openrouter (2.5 flash thinking) 🤯🤩

[Michael Jedamski @MichaelJedamski]

@forgebitz Completely with you👌I’m thinking though, if I need to build a personalized calendly version for myself, not millions of people, the effort to something functional should definitely be reduced 🤓

[Colossal Biosciences® @colossal]

We’re Colossal Biosciences, the de-extinction company responsible for bringing back the first animals from extinction. Our dire wolf pups, Romulus and Remus, were born on October 1, 2024. Watch these pups grow up on our YouTube channel. Link in bio.

These two wolves were returned from extinction using genetic edits derived from a complete dire wolf genome, meticulously reconstructed from ancient DNA found in fossils dating back 11,500 and 72,000 years. This achievement is the result of years of pioneering science, tireless innovation, and unwavering dedication.

It marks a major milestone not only for our company, but for science, conservation, and humanity. With the birth of Romulus and Remus, de-extinction is no longer theory—it’s reality. There’s more work ahead, but this moment redefines what’s possible for the planet’s future.

[Nic Cruz Patane @niccruzpatane]

Tesla is now taking preorders orders for Optimus Robot!!

Starting at $29,990, deliveries begin late 2027.

[ElevenLabs @ElevenLabs]

We pioneered the first ultra-realistic Text to Speech model, and recently launched the world's most accurate Speech to Text model, Scribe.

But we're not stopping there.

Today, we're taking one small step for man, and one giant leap for man's best friend...

with Text to Bark.

[Michael Jedamski @MichaelJedamski]

Maybe now is finally the time to build a sovereign, integrated and empowering digital environment for ourselves 🤞

[Michael Jedamski @MichaelJedamski]

@adcock_brett @Figure_robot Super, thanks! All the best, love the work you do 🙌

[Michael Jedamski @MichaelJedamski]

@adcock_brett @Figure_robot @adcock_brett do you foresee and remote opportunities for certain functions at @Figure_robot in the near future?

[Michael Jedamski @MichaelJedamski]

@MarcusSchiesser @windsurf_ai @cursor_ai @llama_index Wow, thinking about the implications down the line 🤯 instead of developing features and interfaces up front, maybe just expand by starting with a one shot result and simply refine and update good result over time 🤩