Mark
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I have a small TV on my desk that will now stay tuned to the Weather Channel's Retro page all day. This is all I ever wanted @weatherchannel
weather.com/retro/
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I’m an older millennial. We had a pretty great run.
We grew up with actual childhoods before everything moved online, but we still got the internet early enough to understand it before it took over everything. We had landlines, AIM, mall culture, good music, and just enough technology to make life fun without making it weird.
Old enough to remember life before smartphones. Young enough to adapt to all of it.
That was a sweet spot.
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Giveaway time! Here's your chance to win the DJI Avata360 (DJI RC2) — DJI's first panoramic drone, redefining aerial creativity with flagship-level 8K HDR imaging.
How to enter:
1. Follow @DJIGlobal
2. Like and share this post
3. Bonus Chance: Comment below — what's the one place you'd love to fly through and capture in full 360°?
· Time period: 2026/3/27 - 2026/4/27.
This giveaway is not affiliated with or endorsed by X. One winner will be selected at random through a third‑party platform. Good luck!
Video created by: aleixalbet
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I have kids. I work in AI every day. And honestly? I have no idea what their careers will look like in 15 years. But I know what will carry them through.
First, and this might sound unromantic: make money and save it for them. We can debate educational philosophy all day, but the world is changing so fast that financial security might be the most practical gift we can give. Buy some gold bars. Seriously.
Second, nurture their imagination. AI rewards people with initiative and wild ideas. The kid who daydreams, who asks weird questions, who wants to try ten things at once? That kid will thrive. AI can execute. AI can be disciplined. What AI can't do is dream up something nobody's thought of before.
Third, build resilience. There are no more iron rice bowls (guaranteed lifetime jobs). Any stable, predictable job is exactly the kind of job AI will learn to replace. Our kids will likely switch directions many times in their lives. Learn something new, get replaced, pivot, repeat. It's more like being a hunter than a farmer. Schools don't teach this. Schools teach you to follow a linear path: high school, college, grad school, stable job. That linear path is becoming the most dangerous one.
Last, invest in their ability to connect with other humans. Not networking. Not schmoozing. Real emotional connection. Building trust, offering support, making people feel seen. As AI handles more of the rational, analytical work, the human ability to genuinely relate to other humans becomes more rare and more valuable.
I don't have all the answers. But I know that imagination, resilience, and genuine human warmth aren't going out of style anytime soon.
#AI #Parenting #Education #FutureOfWork
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From my friends who are pilots:
“We can and should deploy the ground tracking systems like Thales does in Europe, tied in with a central system that does the routing, and then controllers sit on top of the whole thing and watch for exceptions”
In other words, technology…
BNO News@BNONews
WATCH: New video shows Air Canada flight crashing into rescue truck at New York airport
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Holy moly, Tesla/SpaceX’s Terafab will be ~100 million square feet, which is 10X larger than the main Giga Texas building, which itself is ~1 mile long.
No wonder the Terafab won’t fit on the existing Giga Texas campus 🤯

Elon Musk@elonmusk
@pbeisel Yeah, 100M sq ft is the right order of magnitude
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First view of the 100kw AI Mini Sat with solar panels and heat radiator to scale. “And that’s just the Mini version. We expect future versions to go to the megawatt range.” — Elon
The key missing ingredient is a terawatt of AI compute. Fully integrated fab with recursive improvement locally. Will explore non-traditional computing. Austin, TX.
Optimus robots: 1-10 billion units/year.
D3 chip optimized for space, designed to run hotter to minimize radiator mass. It will be the vast majority of the compute 100-200GW/yr on Earth. +1TW/yr in space because of power constraints on Earth.




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Nvidia CEO Jensen Huang in new interview on orbital datacenters:
"The challenge of course is that cooling, you can't take advantage of conduction and convection, so you can only use radiation, and radiation requires very large surfaces, but that's not an impossible things to solve. There's a lot of space in space. We're going to go explore it. We're already radiation hardened. We have Cuda in satellites around the world. In the meantime, we're going to explore what is the architecture of datacenters look like in space. It'll take years, but that's ok. I got time."
via @theallinpod
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