I would say that lots of interesting things are happening in biotech, and these things are slowly building critical mass, similar to what happened in computer hardware during the period 1970-2000.

Genomic platforms are now able to capture multiple measurements (e.g. RNA and chromatin openness) from single cells in large tissue slices/massive perturbation experiments.

Once time gets baked into the equation, we will be able to build better models of systems biology. However, human trials will still be a major bottleneck.

Solar and batteries are cracking along. It's much reported but will change things for the better.

I am developing a real-time software acceleration engine that enables high-end equipment-level brainwave processing, signal detection, and noise removal on general-purpose chips. My goal is to overcome hardware limitations through software, enabling highly efficient biosignal processing.

I would say quantum computing. It's one area you can't just tell an LLM to solve for you (yet, until the material and solutions are out there of course).

NFT development is still going strong! They've almost found a real use for them /s

jk jk they're still nonsense, aren't you glad HN isn't flooded with NFT and blockchain noise anymore?