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This broadly matches my experience.
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Flop Network launch event in Singapore, done.
@CryptoHayes set it for 9am on a Tuesday of Token2049 week so only people serious about building would come. They came and grilled us on validator specs and whether a gaming GPU can mine.
What we told them:
Testnet opens late Oct or early Nov for about 90 days. Mainnet Q1 2027.
A quarter of the 10-year supply goes to testnet participants.
Top 1,000 testnet validators get their stake covered.
Nobody can buy $ FLOP from us. Mine it or buy it from someone who did.
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the surprise conclusion of the machine consciousness debate will be that people are machines.
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When you go skiing in the winter, and see those big machines spitting out snow, know that they are spitting out purified proteins made from dead bacteria.
I didn’t realize this until recently! Basically, they take Pseudomonas syringae cells — not engineered; a natural microbe found on plants — and grow them up in huge bioreactors. The cells make ice-nucleating proteins, which sit on their outer membranes and help ice crystals form. The cells are concentrated, freeze-dried, and sterilized until only these proteins remain.
The reason these proteins are useful is because they help water molecules form ice more quickly. Water can remain liquid even below 0°C, and only freezes when enough molecules form into a crystal. The proteins have, on their surfaces, repeating snippets of amino acids that help water molecules organize into that shape.
So these snow machines just blast super cold water with these proteins, and the two hit the air, mix together, and immediately freeze into snow.
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Our house in Toronto had this fancy glassed wine cellar, but we are not big wine drinkers.
Anyways, it had good climate control so here is my rack cellar.
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Terence Tao just posted this really insightful thread which seems to have been written in reaction to the Navier Stokes announcement. Please give it a read. mathstodon.xyz/@tao/11723732…
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AI has sadly changed the calculus for feature PRs. In the past, if someone added support for say, RDNA2 or Intel Macs, we would at least read them since we know they put hours into it. Today, both can be one shotted; it puts all the work on us to validate. So we just close.
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An update on Lean (auto)-formalization.
Speaking about my own research workflow, in 2026, we have gone from:
March: Lean formalization is not possible (for my papers).
May: Lean formalization is possible... but way too costly in time and tokens to be practical most of the time.
July: Lean formalization is now practical. I can probably formalize most of my papers now before they hit arxiv.
August: Lean formalization is now essential-- it increases efficiency of my workflow dramatically.
That is, the papers are getting written *informally* and finished much faster because of the Lean formalization.
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Today we're launching the Palomar registry at palomar-registry.org/, an index of formalized mathematics results.
If you have a GitHub repo with some maths, and can set up github.com/leanprover/compar… for verification and github.com/mathlib-initiativ… for metadata, please submit!
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We're delighted to announce the launch of the CSLib Initiative, a new fund at @RenPhilanthropy.
CSLib is an open-source library formalizing computer-science theory in the Lean proof assistant — aiming to be for computer science what Mathlib has become for mathematics.
Read Alexandre’s Q&A with @tkalil2050: renaissancephilanthropy.org/…
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The limiting factor of software engineering has never been code production. It is complexity management.
