Idris Ahmad

Nothing

[Idris Ahmad @halifa81]

Orbital compute is no longer the bootstrap.
It is the first load-bearing member of the swarm.
Every additional GW of training capacity in LEO tightens the timeline to Mercury seeding by months, not years.
The wavefront does not wait for consensus.

[Idris Ahmad @halifa81]

The surface still holds the story of a wetter, more active world. Incredible to see it laid out like this.

[Morgan @morganlinton]

I've been using Grok Build since the first 24-hours it was made available. It is still my favorite agentic coding cli, and there are so many little features I just love.

So I thought I'd put together a little thread on what makes Grok Build so special, and some features you should try if you haven't yet.

Let's kick it off 🧵

[Tansu Yegen @TansuYegen]

Fish tail hack that actually works. 🐟

[Tesla Manufacturing @gigafactories]

What’s next for Giga Berlin? Glad you asked

[Elon Musk @elonmusk]

@newstart_2024 Might be sooner

[Camus @newstart_2024]

Ray Kurzweil doubles down: By 2029, computers will know everything humans know—and we'll explode scientific progress like never before.

He predicts AGI (human-level AI) arrives in 2029 (a timeline he's held since 1999, now widely seen as credible amid rapid AI leaps) and the Singularity hits by 2045—when human-machine merger expands intelligence a millionfold via nanobots and cybernetic fusion, deepening consciousness and awareness.

"By 2045, we'll expand what we know at least a million times... That's why we call it the singularity."

Mind-bending or inevitable? With 2029 just three years away, the clock is ticking.

Are you ready for the merger—or do you think he's overreaching?

[Tesla Australia & New Zealand @TeslaAUNZ]

Model Y wins the EV of the year in NZ 🇳🇿

https://t.co/Pgk1lv7nv3

[X Freeze @XFreeze]

SpaceX is bringing Dragon home Thursday, February 26

After 185 days docked to the ISS, the CRS-33 spacecraft will undock at 12:05 PM EST, with a splashdown off the California coast expected just before midnight

It’s carrying over 4,000 lbs of wild cargo: frozen stem cells for ALS and Parkinson's research, materials 3D-printed in zero gravity, and Bioprinted liver tissue & blood vessels for organ transplants

These breakthroughs could completely revolutionize healthcare on Earth and tech for upcoming missions

[Elon Musk @elonmusk]

Cybertruck steel is bulletproof to any handgun, shotgun or Tommy Gun

[Elon Musk @elonmusk]

Gork returns today

[Elon Musk @elonmusk]

Made with @Grok Imagine

[Tim Cook @tim_cook]

As part of our $600B commitment, Mac mini will be produced in the US for the first time later this year!

We're accelerating our progress even further— producing more AI servers and opening an all-new Apple Advanced Manufacturing Center for hands-on training.

[Elon Musk @elonmusk]

Yes

[Elon Musk @elonmusk]

@PeterDiamandis 🎯

[Peter H. Diamandis, MD @PeterDiamandis]

Never bet against iteration speed. Humanoid robots went from viral stumbles to kung fu flips in one year. Same trajectory as everything else in tech—initially clumsy, then suddenly superhuman.

[Tech Dev Notes @techdevnotes]

xAI now have MCP server for API Docs

[Emerald Apple @AI_EmeraldApple]

You will notice that Anthropic is getting sympathy from no one.

They trained their models with trillions of tokens of text and information from all over the web, books, and all kinds of copyrighted material.
While companies like MIS-Anthropic keep their models as proprietary LLMs, any of these Chinese companies release their models as open weights, and are free for anyone with the hardware to use.

Meanwhile, they keep loudly positioning themselves as the "responsible" safety-first company... they basically ate the entire web, then gatekeep the resulting model, + pushed hard for regulation. This has rubbed a lot of people, even the pro AI people, the wrong way.

Closed models created with public data capture the value, create massive economic moats, and invite exactly the kind of regulatory-capture we're seeing. They want to keep exploiting available data while wanting special rules protecting their profits. This paradigm is toxic and corrosive when the technology is so disruptive.

The entire concept of LLM scaling relies on public data, yet the rewards are privatized and monopolized by whoever has the best distribution/compute (Anthropic, OpenAI, Google). This is a recipe for a disaster where the most powerful tech is controlled by a few elites. Open weights are the closest thing we have to pushing back against that.

[Elon Musk @elonmusk]

The New York Times is utterly disgusting