“Normally, language models are trained on large volumes of text. To apply them to proteins, Rives and his colleagues instead fed the AI sequences of known proteins, which can be written down as a series of letters, each representing one of 20 possible amino acids. The network then learnt to fill in the sequences of proteins in which some of the amino acids were obscured.”

– Meta AI predicts shape of 600 million proteins using a large language model.

“Sometimes ‘metaverse’ can feel like a catalogue of everything and anything cool that might happen in tech in the next decade - which, again, makes it hard to know what anyone saying it has in mind, if indeed they care.”

– Ben Evans on ways to think about the metaverse.

How Electronic Design Automation (EDA) software is shifting for future chip design.

TSMC approaching 1 nm with 2D materials.

Is a quantum winter coming.

Antirez (Redis founder) on linked lists.

Veritasium on the Fast Fourier Transform. [YouTube]

Hackenbush: Intro to combinatorial game theory. [YouTube]