Treasury Secretary Scott Bessent just made his support for Elon Musk very clear:
“I am a huge Elon fan”
He compared their relationship to a sports team...you can argue in the locker room, but once you step onto the field, you’re all working toward the same goal
Bessent also said he’s been in regular contact with Elon and added:
“He’s amazing”
“He’s taking us to Mars. Look at what he’s done with SpaceX”
Pretty strong words from the U.S. Treasury Secretary
Clash Report
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Starlink is rapidly expanding across Kazakhstan’s railways and postal network 🇰🇿
The rollout covers:
• 210 Qazpost offices across 13 regions
• 50 passenger-train routes
• 124 trainsets
• 1,600+ carriages
Starlink is already live on dozens of trains, bringing connectivity to routes and postal facilities beyond the reach of traditional networks
This is exactly where satellite internet makes a massive difference
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Neuralink participants have now generated more than 50,000 HOURS of unlabeled neural data
Neuralink is using thousands of hours of brain activity from each participant to pretrain neural encoders before cursor-control tasks
The goal is to make BCIs faster, more stable and require far less calibration over time
Neuralink is moving from decoding individual brain signals...
Toward building a scalable interface between the human brain and computers
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Terafab is a massive step toward humanity becoming a galactic civilization
Anything TSMC contributes to Terafab would basically be supplemental
Terafab itself is going to be absurdly massive
The goal is 1 TW of compute production every year.....around 50× the current global output of AI compute
This isn’t just another fab. It’s being built for a scale the semiconductor industry simply does not operate at any known scale today
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My laptop wallpaper...
It always reminds me of the scale of what’s being built and what the future is going to look like
Still insane to think that something this massive is actually going to exist
A sufficiently large quantity is a quality all its own.
Big difference between bacteria with one cell and a human with 35 trillion cells, even though both are made of cells.
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Grok Bot edited this entire video for me...
I gave it Neuralink’s latest article and it pulled all the best visuals Neuralink officially published, mapped everything out, recorded the clips, edited the full video and even added music from a free music library that matched the vibe.....it literally made a perfect video for me
It put together all 8 figures from the article......6 videos + 2 charts.....into a 1080p video with captions, title cards and source credits
Literally treat your Grok Bot like an employee.....it can do almost anything you can do on a laptop
Neuralink just released a major new update on how it is training brain-computer interfaces
Participants have now generated more than 50,000 HOURS of unlabeled neural data
Neuralink is now pretraining neural encoders on thousands of hours of each participant’s brain activity before using them for cursor control
And the results are already impressive:
• Calibration time dropped from ~55 minutes per week to ~10 minutes for some participants
• Multiple participants set new personal BCI speed records
• Three participants surpassed the previous 10.39 bits/sec benchmark
• One participant reached 11.32 bits/sec — a new BCI record
• Some decoders stayed strong for weeks
• One decoder was still usable more than 1.5 years later
The most important part is what comes next
Neuralink is moving toward foundation models for BCI...systems that can learn from massive amounts of neural data and eventually generalize across people and tasks
The goal is to make brain-computer interfaces faster, more stable, require less calibration and eventually work more like a general-purpose platform
Neuralink is going from controlling a cursor
To building an interface between the brain and computers at scale
neuralink.com/updates/pretra…
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Anything TSMC contributes to Terafab would basically be supplemental
Terafab itself is going to be absurdly massive
The goal is 1 TW of compute production every year.....around 50× the current global output of AI compute
This isn’t just another fab. It’s being built for a scale the semiconductor industry simply does not operate at any known scale today
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Raptor engines are pure engineering magic
There’s no way an engine this powerful should look this clean and beautiful
Full-flow staged combustion had been attempted for decades by other rocket programs, but before Raptor, nobody had ever managed to get a full-flow staged-combustion engine to actually fly........it was extremely complex, risky and difficult to solve, and nobody had managed to make it work in flight
SpaceX is the only company that made this engine architecture fly, proved it works, and then started mass-producing it for Starship
Absolutely insane engineering
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Give it an 𝕏 link or anything you don’t fully understand, and it’ll break it down so you can understand it much more deeply and clearly
Just published my "Explainer Bot" 🧠
I built it for myself first. It helps me understand things deeply and see things more clearly
I love learning, but some topics are really hard to understand properly. I'd see something on 𝕏, ask Grok for context, and get a quick summary. A summary isn't understanding, though. I wanted to know why it works, what's actually going on underneath, and whether it even makes sense
So I made a bot that does that, with first-principles thinking built in
You bring it a question, a link, an 𝕏 post, a paper, or a document. It reads everything (the full thread, the quoted posts, the sources, the data) and searches the web to check the claims. Then it explains how reality works underneath:
• The physics, meaning what's truly impossible and what's just a habit, a cost, or a regulation
• The mechanism, step by step
• The real numbers, worked out in code and compared to things you already know
• The trade-offs, and the hype separated from what's proven
• How Elon would look at it, plus the strongest counter-argument
• Clear diagrams and real reference images
You can ask it anything, like "Do space data centers actually work?", and it'll take you from the basic physics all the way to a clear answer
The goal isn't a summary. It's understanding that changes how you see the world
Try it here...this is my favorite bot actually
x.ai/bot/_G_I5jXyXTNLten5Mnt…
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Just published my "Explainer Bot" 🧠
I built it for myself first. It helps me understand things deeply and see things more clearly
I love learning, but some topics are really hard to understand properly. I'd see something on 𝕏, ask Grok for context, and get a quick summary. A summary isn't understanding, though. I wanted to know why it works, what's actually going on underneath, and whether it even makes sense
So I made a bot that does that, with first-principles thinking built in
You bring it a question, a link, an 𝕏 post, a paper, or a document. It reads everything (the full thread, the quoted posts, the sources, the data) and searches the web to check the claims. Then it explains how reality works underneath:
• The physics, meaning what's truly impossible and what's just a habit, a cost, or a regulation
• The mechanism, step by step
• The real numbers, worked out in code and compared to things you already know
• The trade-offs, and the hype separated from what's proven
• How Elon would look at it, plus the strongest counter-argument
• Clear diagrams and real reference images
You can ask it anything, like "Do space data centers actually work?", and it'll take you from the basic physics all the way to a clear answer
The goal isn't a summary. It's understanding that changes how you see the world
Try it here...this is my favorite bot actually
x.ai/bot/_G_I5jXyXTNLten5Mnt…
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Neuralink just released a major new update on how it is training brain-computer interfaces
Participants have now generated more than 50,000 HOURS of unlabeled neural data
Neuralink is now pretraining neural encoders on thousands of hours of each participant’s brain activity before using them for cursor control
And the results are already impressive:
• Calibration time dropped from ~55 minutes per week to ~10 minutes for some participants
• Multiple participants set new personal BCI speed records
• Three participants surpassed the previous 10.39 bits/sec benchmark
• One participant reached 11.32 bits/sec — a new BCI record
• Some decoders stayed strong for weeks
• One decoder was still usable more than 1.5 years later
The most important part is what comes next
Neuralink is moving toward foundation models for BCI...systems that can learn from massive amounts of neural data and eventually generalize across people and tasks
The goal is to make brain-computer interfaces faster, more stable, require less calibration and eventually work more like a general-purpose platform
Neuralink is going from controlling a cursor
To building an interface between the brain and computers at scale
neuralink.com/updates/pretra…
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