Network Effects 101 The concept of network effects is a powerful mental model through which to evaluate businesses, startups, money, human societies, and nature. But what are “network effects” and how do they work? Here's Network Effects 101!

Stablecoins/CBDCs are the future operating systems for governments

Prime numbers are beautiful

Bindu Reddy You can basically learn anything on YouTube/Reddit

As global companies reel from a shortage of semiconductor chips, TSMC said it will invest $100 billion over the next three years to increase capacity, just days after Intel announced a $20 billion plan to expand its advanced chip manufacturing capacity reut.rs/3dlNsik

ANYBODY in Ontario who lives in a high burden neighbourhood who is 18 years and older will be eligible for #COVID19 vaccination. This will help essential workers, families, communities, etc. A very smart move.

Semiconductor specialist Alphawave IP plans $4.5Bn London IPO and move to UK HQ tcrn.ch/3etZiXY by Mike Butcher (BlueSky/Threads: @mikebutcher)

If you’ve been fortunate enough to do well this year, consider joining me and vitalik.eth by donating at the addresses below. But if all you have is Twitter, help spread the word. For every RT, I’ll donate another $50 to fight COVID in India, up to $100k. #cryptovscovid

All scientific articles should be free and accessible to everyone.

NFTs are just video game skins for Twitter

I like this a lot, especially how it could let us reuse the pipes for moving money, while having region specific components where investing law is slightly different. (I’m in Canada)

Semiconductors power the metaverse

You can learn and get a surprisingly decent feel for web3 by building a toy in a weekend. Will do again

As someone who loves working with hardware, and knowing how big the barriers to entry (for both learning and design) are, what Google is doing makes me happy. developers.google.com/silicon

Very good piece by Sara Hooker on HW development arcs hardwarelottery.github.io

This white-noise sounding signal with a flat spectrum is the pseudo-random bit sequence used to pre-train the adaptive equalizer that cleans up the mushy analog signal into clean bits. It's basically a linear classifier trained with least square, a direct descendent of Bernie

🤯🤯🤯I'm shocked by the results from OpenAI's o1 model on THIS YEAR's Korean SAT exam. It got only *ONE* question wrong, placing it within the Top 4% of students. This exam was crafted by professors who were locked up in a hotel for a month, making it an unseen test set for all