SpaceX President Gwynne Shotwell explains why SpaceX wants to put data centers in space:
“There is an expense to put data centers on the ground. You have to buy real estate, and as soon as someone finds out a supercompute center is going in, real estate goes from $3,000 an acre to $180,000 an acre. The time lag is incredible. Permits and licensing are pretty stifling. People are talking about generators in three years.”
“We need compute now. The demand is insatiable right now. People need compute now. We need it now. So why data centers in space? We own launch. We have great launch capability, and that path is very well known. The real estate in space is infinite. It’s free.”
“The cooling is there. The radiator looks at deep space, the coldest thing ever out there, so free cooling. You can put satellites in orbit that always face the sun. We’ll be making our own solar panels too. We’re building a factory outside Austin.”
Interested in AI?
Follow @AiEvolutio58513 and never fall behind.
I track ChatGPT, Claude, and every tool quietly changing how we work and create, then hand you the tested signals.
Them: “Training is what sets you apart, and really grows your muscle”
Me: “yes”
Them: “you need to train your face off and push past tons of discomfort and psychological limits.
Me: “yes. So that makes a good pre-workout, with plenty of stims, a huge asset. More focus, more neurological drive, more fun, more focus, better pumps, less perceived pain, so much upside.”
Them: “what are you a pussy? Hahaha. Need all that to train? Ha”
Must-read paper from Sakana AI on orchestrating coding agents for scientific research.
(bookmark it)
This is an important read with lots of useful insights if you are building multi-agent systems.
I like this work because it presents a concrete multi-agent framework and an end-to-end distributed pipeline that lets human researchers conduct computational research alongside modern coding agents.
What they did:
A development version of their system helped write a paper that was accepted as a main-conference talk at ALIFE 2026, after human verification and edits.
How they did it:
The Agentic Scientist splits a project into stages. Task drafting, ideation, planning, sandboxed experiments, baselines and ablations, analysis, and report writing each run on a coding agent that checks its own work. A meta-controller runs many of these agents in parallel and checks every stage against a rubric.
The ablations show that reliable autonomy depends on that orchestration layer as well as on the base model.
https://t.co/jOzTNOJB13
Chat with Paper: https://t.co/AZhJKXjcVL
when the hand saw stops cutting it 😂 home depot run for a dewalt jobsite table saw and set it up in the garage shop. what tool upgrade changed your woodworking the most?
What if your AI coding agent understood your Jetson, not just your code?
Explore NVIDIA Jetson Agent Skills with hands-on tutorials, video walkthroughs, accelerated workflows, and a developer livestream.
Start building physical AI at the edge. 👇 https://t.co/hKZrsimbEv
a small @agenticscredit detail I like
their risk engine even has cooldowns after bad trading activity
basically the system can force an agent to stop for a bit instead of letting it immediately jump back in and chase losses
that sounds simple
but humans are terrible at avoiding revenge trades
AI agents probably need guardrails for the same reason
automation is useful
automated discipline might be more useful
Today we’re announcing Personal Agent Protocol — an open standard @Meta and @SierraPlatform are developing along with industry partners at @Genesys, @instinct, @RocketOTD, @Shopify, @stripe, and @Walmart. It will help define how personal agents interact with businesses and is open for anyone to implement.
Read more: https://t.co/9cWCVlCv8H
How is one person supposed to work 9–6, hit 10k steps, go to the gym, cook every meal, keep the house clean, spend time with family, sleep 8 hours, and still have hobbies without burning out? We’ve been sold a version of life that’s impossible to maintain
Google is soon removing Gemini 3.6 and 3.7 flash models from Antigravity
they are removing all older models
this is a sign new models are coming
Opus 5.5 and Sonnet 5.5 are landed
Gemini 4 Argon is coming soon
maybe we see other models too
I rarely speak up for a meme this early and at such a low market cap. But I’ve spoken with the team behind $PFEAGLE, and I like what I’ve seen so far. They’re based in Dubai, have experience, and seem genuinely committed to building this.
The Tired Eagle is a funny, relatable character: rent, bills, inflation, markets, politics… PUMP. DUMP. REPEAT. The whole “Sleep • HODL • Repeat” universe has plenty of room for memes and content.
I’m backing $PFEAGLE long term and will be following the project closely. I think the narrative could catch on, but it’s still a very early, high-risk meme coin. Do your own research and manage your risk.
Live on Robinhood Chain
CA: 0x1a95c10E4839033686225eaad3ac348F0d8eDC4F
https://t.co/OQzc99N4zv | @pfeagle_rh
The Eagle has seen enough. 🦅💊