Quantum stuff again? It doesn't exist! Quote: "Finally, we calculate the number of physical qubits required to break the 256-bit elliptic curve encryption of keys in the Bitcoin network within the small available time frame in which it would actually pose a threat to do so. It would require 317 × 106 physical qubits to break the encryption within one hour using the surface code, a code cycle time of 1 μs, a reaction time of 10 μs, and a physical gate error of 10-3. To instead break the encryption within one day, it would require 13 × 106 physical qubits. In other words: no time soon. Not even remotely soon. " Cite them Right Reference: Schneier, B. (2022) ‘Breaking 245-bit elliptic curve encryption with a quantum computer’, Schneier on Security, 9 February. Available at: https://www.schneier.com/blog/archives/2022/02/breaking-245-bit-elliptic-curve-encryption-with-a-quantum-computer.html Accessed 21 Mar 2026.

Bounded Free Will.. I believe free will exists on a spectrum. For instance, I can decide whether or not to raise my hand 9, 10, or 11 times, but eventually, the body faces physical limitations. Try raising your hands 1,000 times and tell me how it goes! I guess that’s also true for the amount of information our brains can process or the patterns we can find.

I started my NixOS journey by reading Eelco Dolstra’s paper at Association for Computing Machinery library (https://dl.acm.org/doi/10.1145/1411203.1411255). I’m still learning, and I’m currently running bitcoind-knots, which I found on search.nixos.org (maintained by Pavol Rusnak).

Indeed, the 🚀Moon/Doom💀 narratives are just shifts in market sentiment. Buy when sentiment is deeply pessimistic, sell when it turns euphoric. When financial news is flooded with negativity, smart money is often quietly accumulating. When the media flips to “to the moon,” that’s usually when they start selling.

👂👀

Like the LLM boom in 2023, 2026 will be the year of agentic AI… What could go wrong?

Like Blockstream and the Web3 thing… Web3 is not an Internet standard, and it does not originate from the IETF, IEEE, or ACM. That alone tells you a lot about its maturity and legitimacy as a technical architecture. Not surprisingly, they are pushing the same blah blah about Ethereum dApps, NFTs, smart contracts, etc.

I still think we don’t have a proper language for AI. Computers are deterministic, while LLMs are probabilistic models. Traditional programming languages are designed to avoid ambiguity, but LLMs try to mimic natural language, which adds another layer of ambiguity. What I’ve noticed, though, is that people using vibe coding focus more on the final artifact, almost like product managers and that’s actually a good thing, especially for prototyping. PS Regarding progress in AI languages, I’ve been following Domingos’ Tensor Logic development (https://homes.cs.washington.edu/~pedrod/tls.pdf). It tries to unify symbolic AI with deep learning.

Indeed, we underestimate the economic weight of Bitcoin’s controlled supply ( https://en.bitcoin.it/wiki/Controlled_supply ). It is a direct response to the core economic dilemma.. addressing human unlimited needs with finite resources. If each of us possessed a magic lamp, such as the one described in the tales of Aladdin, from which a powerful genie could be summoned to grant our every wish, the fundamental problem of economics would instantly cease to be a concern for humanity. My epiphany struck while I was at the London Science Museum, contemplating the Moniac. I was fascinated by what a brilliant way it was to visualize the flow of money in an economy. This led me to wonder: is the flow a closed loop, sort of “Circular Economy?” If so, the water, representing money, is finite much like Bitcoin. I confess that I still think about going to a hackspace and trying to craft a sort of Moniac B, but my carpentry skills are terrible. Then I ended up just vibe coding a Moniac in JS… PS. The name "MONIAC" is suggested by associating money and ENIAC, an early electronic digital computer. ( https://en.wikipedia.org/wiki/Phillips_Machine )

I remember when GoPro’s image stabilization, known as HyperSmooth (introduced in) https://www.youtube.com/watch?v=A3PDXmYoF5U