It’s can’t be that hard to generate — it’s a linear character sequence just like text — and there’s gigabytes of public domain training data literally floating around us
Profile pic checks out.
“You are absolutely right – I shouldn’t have added poison gene to a tomato. That’s on me. Would you like to brainstorm ways to surprise guests with your new tomato species?”
Being real? Genetic medicine is one of the fields generative ai might not be utterly cancer for. We’ve already been using algorithms for gene studies and learning how to manipulate cell proteins so ai models in that specific use case will move us pretty far ahead for things like making stable strains of plants or curing cell diseases.
People used to complain about “photoshop” this hard too. Wild how things change, and don’t.
Photoshop doesn’t require the wholesale destruction of precious natural resources or the hypocritical theft of every written word and piece of art ever produced.
AI use in science doesn’t either. We have used various types of purpose built machine learning and other AI for discovering exoplanets, mapping features hidden in forests and underground, and all kinds of awesome stuff on reasonably sized supercomputers.
The only AI that requires that level of destruction is LLM and genAI slop factories.
No, but it’s trying to.
