The automaker is giving EVs another shot with cheaper batteries, a new platform, and high-tech chips for AI and autonomy. But it’s got a lot to prove.
Lunar Outpost has secured $30 million in Series B funding as the Colorado company tries to move from building individual lunar rovers to supplying the machines that could prepare the Moon for longer-term human use.
The money is meant to accelerate production of its robotics and mobility platforms. It also arrives as Lunar Outpost is promoting Pegasus, a smaller rover concept that Space.com reported the company hopes to deliver by the end of 2027 and launch to the Moon in 2028, on a timeline that broadly lines up with NASA’s current Artemis 4 schedule.
The real bet is not just exploration. It is that the Moon is becoming a worksite, and that whoever supplies the mobile robotic workforce may become more important than whoever sells the most dramatic single vehicle.
Almost 12 years ago, a 16-year-old girl named Stefanie wrote to me the night before her senior year of high school. She could not sleep. She was terrified of the Singularity. And she wanted to know what she could actually do about it.
I still get these messages. More of them than ever, in fact. The names change. The fear does not. If anything, in the age of frontier AI, autonomous agents, and accelerating capability, the desperation in young people’s voices has only deepened.
What struck me when I went back to read my reply was how little I wanted to change. The advice I gave Stefanie has, mostly, stood the test of time. So rather than rewrite it, I am simply reposting it. A few of the things I told her then, and would tell any anxious young person today:
Be unreasonable. The reasonable person adapts to the world. The unreasonable one persists in trying to adapt the world to herself. All progress depends on unreasonable people. Shaw was right.
Think in decades, not weeks. Life is a marathon, not a sprint. Persistence will be your best friend and your biggest enemy.
Prepare to fail. It took Edison thousands of attempts to make the light bulb. What matters is not how many times you fall, but how long you are willing to endure.
What if advanced alien civilizations achieved infinite knowledge not through space travel, but by harnessing the power of stars? This video explores how a type 2 civilization could repurpose a star into a giant computer, a concept tied to the kardashev scale and the theoretical dyson sphere. It’s a fascinating look into advanced future technology and the potential of artificial intelligence in the cosmos.
As you know, I’m obsessed about the Fermi Paradox. Where are all the aliens? But an even stranger question is: where are all the robot aliens?
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Team: Fraser Cain — @fcain / [email protected].
Jason Harmer — @jasoncharmer.
Chad Weber — [email protected].
Created by: Fraser Cain and Jason Harmer.
Edited by: Chad Weber.
Music: Left Spine Down — “X-Ray”
• Left Spine Down — Side Effect (new track 2…
If you’ve seen at least one other episode of the Guide to Space, you know I’m obsessed about the Fermi Paradox. This idea that the Universe is big and old, and should be teeming with life. And yet, we have no evidence that it exists out there.
We wonder, where are all the aliens?
If you want to know what the tech world really values right now, just look at what it’s measuring. We used to obsess over lines of code, and then it was all about daily active users and engagement metrics.
But lately, I’ve been watching a pretty profound shift taking place. The industry isn’t just optimizing for headcount or dollars anymore; it’s optimizing for tokens. For the first time, cognitive output has a measurable unit cost, and this little backend metric is quietly becoming the foundational currency of the digital economy.
I just published a new piece diving into how this “token economy” is actually playing out on the ground. Right now, we’re in this wild phase where folks are flexing their token burn rates, and massive players are even trading raw compute power for startup equity.
But this brute-force volume game is just the beginning. We’re moving toward a really fascinating future where AI agents will dynamically negotiate with each other over global compute exchanges, and companies will start managing their processing power like a true financial asset. It’s an entirely new way of thinking about how we build and scale.
Treating AI as just another flat-fee software subscription probably isn’t going to cut it for much longer. The organizations that really thrive in the next decade will be the ones who figure out how to navigate this new intersection of intelligence, energy, and scale.
I put together a deep dive into how compute is becoming the new capital, and what this macroeconomic shift actually means for the rest of us. I’d love to hear your take on it—check out the full post below.
Further Reading.
Self-powered analogue neuromorphic system for multimodal sensing, encoding and learning with diffusive and drift memristors.
https://www.nature.com/articles/s4446…
Reservoir Computing: Foundations, Advances, and Challenges Toward Neuromorphic Intelligence.
https://www.mdpi.com/2673-2688/7/2/70
Embodying physical computing into.
soft robots.
https://www.nature.com/articles/s4146…
Artificial Nervous Systems.
https://pmc.ncbi.nlm.nih.gov/articles…
Flowgrammer.ca -> https://flowgrammer.ca/
AI News and Resources -> https://flowgrammers.ca.
OpenClaw Toronto -> https://openclawto.com/
Cut Costs. Boost Output. Stay Ahead.
If smarter systems can learn faster with less energy, imagine what your business can do with the right automation. Flowgrammer helps you eliminate repetitive work, reduce operational drag, and scale without hiring headaches.
Book Your Free Automation Audit.
https://flowgrammer.ca/
Startup Investor Drinks Toronto — https://startupdrinksto.com/
Toronto’s Startup Community — https://torontostarts.com/
Silicon Scoop.
Silicon Scoop Podcast — https://torontostarts.com/silicon-scoop/
Apple: https://podcasts.apple.com/us/podcast…
Spotify: https://open.spotify.com/show/5bAzF0M…
YouTube: • Silicon Scoop.
Startup Talk.