And, at the heart of AlphaFold2 is the language model, the tip of the spear in AI today. 'Language' can come in many forms e.g. a protein or amino acid sequence.
AlphaFold 2 wasn't Q-learning based. It was supervised SGD and the "evoformer" they introduced is very close to a transformer. So it's not exactly an LLM, but it's a pretty close equivalent for protein data.
This person is forgetting the entire operation is based on space biosciences, not just space. Vector Space Biosciences presents at DeSci London March 2024 - Min: 4:27:33
https://youtu.be/fbnFEvfKRO8?t=16052
They are embedded into a particular semantic vector space that is learned based on a model. Another feature vector could be hand rolled based on feature engineering, tidf ngrams etc. Embedding is typically distinct from feature engineering that is manual.
The days of the tired overblown mantra among certain software engineering camps, many of which are funded by public capital markets, continuing to beat the drum of "all crypto is a scam" are over. Having an understanding and appreciation of how public capital markets work is key. Not many have this understanding and appreciation. The capital markets were designed to enable a company to raise capital aka funding. Crypto now represents a truly global capital marketplace accessible to all, not just to accredited investors in the US. Bottom line.
Key points to remember:
1. Crypto is not a currency, it's a trading vehicle similar to a stock, junk bond, debenture, options or futures contract.
2. Regulated security tokens/crypto that represent equity ownership in a company with real products and with real revenue generating capability is the future of crypto.
It's important to realize the advantage of a truly global capital marketplace represented by regulated security tokens connected to the equity of a company/startup which provide a company/startup the ability to raise funding, create jobs, get salaries paid, fund operations in science and techology in any indusrty which provide a return on investment capital (ROIC) to stakeholders and shareholders at the same time.
"“What we do not know about human physiological limitations hinders our ability to plan a human exploration campaign beyond LEO,” the team said in their paper. “The most limiting factor that makes human space exploration a risky endeavor is strictly dependent on safety issues. Therefore, the principal barriers to human exploration far from LEO are those given by the limits of medicine." - There will be no space race without space biosciences which also result in new marketable therapies and precision medicine for everyone on the ground.
Connected to some of our early work in language modeling applied to space biosciences at Lawrence Berkeley National Laboratory/DOE with Saira Mian, Michael I. Jordan and David Blei: "Statistical modeling of biomedical corpora: mining the Caenorhabditis Genetic Center Bibliography for genes related to life span" http://www.ncbi.nlm.nih.gov/pmc/articles/PMC1533868
