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Bonk Eco continues to show strength amid $USELESS rally
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Pump.fun to raise $1B token sale, traders speculating on airdrop
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Boop.Fun leading the way with a new launchpad on Solana.

Oliver Hsu
Partner @a16z investing in American Dynamism 🇺🇸. Exploring frontier technologies, markets, & culture.
Industrial power enables:
1) Security: enabling national independence , strengthening the DIB, and minimizing reliance on adversaries
2) Statecraft: powering commercial diplomacy and ensuring allies run on the American technology stack
3) Society: strengthening domestic society by creating dignified work and growth around the country
The reindustrialization project is about all of these things.
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Oliver Hsu kirjasi uudelleen
This new generation of space requires capacity at scale for dynamic missions. That's why we:
- built the most powerful commercial multi-orbit phased array in 9 months (LEO, MEO, GEO)
- assembled in 5 days
- will be deploying and operational for customers on multiple continents this year
249,86K
As the open source robotics ecosystem grows, we’ll likely also see the emergence of a much wider range of designs as developers fork existing robots.
Robots of all shapes, sizes, construction, and functions.
Everything’s computer.

Thomas Wolf9.7. klo 18.02
Thrilled to finally share what we've been working on for months at @huggingface 🤝@pollenrobotics
Our first robot: Reachy Mini
A dream come true: cute and low priced, hackable yet easy to use, powered by open-source and the infinite community.
Tiny price, small size, huge possibilities. A robot built to code, learn, share with AI builders of all ages, all around the globe, using the latest vision, speech and text AI model. A first robot for today's and tomorrow's AI builders.
Read more and order now at
First deliveries expected right after the summer.
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Oliver Hsu kirjasi uudelleen
Mission and vision DO matter.
This post is itself is a victim of narrative fallacy. It relies on the availability heuristic to assume that “no amount of mission and vision will supersede” a big bag of money, because the only announcements we’ve seen are from the people who chose the money. Picture the Abraham Wald airplane with bullet holes.
The would-be analyst doesn’t account for the many other people who have turned down massive offers because they sought a different “mission and vision.”
Incredibly, he attempts to calculate a conversion rate while looking at the numerator, ignoring the denominator.
Since we’re being frameworks bros: also on display is the false consensus effect, a bias where someone overestimates how much other others share their personal views.
Reducing all companies “to the same basic economic equation,” selling mission and vision as “a lie,” and automatically choosing to build wealth “when given the chance”?
These may represent the op’s personal views, but it’s a mistake to assume everyone else feels the same way, especially based on a small sample size with, again, non-representative results. This isn’t analysis, it’s projection.
Of course there are biases on my end too, not least wishful thinking. I really want to believe that mission ultimately matters more than money. Maybe I’m wrong. But I think I’m right, and he’s the one that’s wrong.

318,07K
Oliver Hsu kirjasi uudelleen
The next great power conflict has already begun and the U.S. is not ready.
China weaponizes trade, tech, and production to capture supply chains and dominate critical technologies while undermining U.S. industries.
To lead, we must realign capitalism with national purpose – rebuild industry, modernize defense, and invest in the sectors that determine power: semis, shipbuilding, energy, and AI.
In this new era of conflict, production is power and free societies win when builders lead.
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This is one of the most interesting problem spaces to me.
Despite (1) the shifting information landscape / increased information accessibility and (2) large models trained on the entirety of human knowledge,
the ability to discern 'ground truth' in many regions around the world is still limited by the capacity to collect and maintain high quality data.
Successful situation monitoring requires starting with quality data.

Inquisitive Bird23.6.2025
Africa's Poor Numbers – new long post published!
In this piece, I critically examine the quality and availability of data in Africa. I argue that much African data is highly unreliable.
In particular, I look at economic data, criminal justice data, and population data.

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Who are the best people to follow doing work on interpreting the Nazca geoglyphs?
After work that was published last fall based on an AI-assisted survey revealed 300+ newly discovered geoglyphs (almost doubling the number of known glyphs), it seems like we've unlocked a lot more data on the geoglyphs towards researching their purpose.

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