AI-first BiotechThis yr marks maybe the zenith of expectations for AI-based breakthroughs in biology, reworking it into an engineering self-discipline that’s programmable, predictable, and replicable. Drawing insights from AI breakthroughs in notion, pure language, and protein construction prediction, we endeavour to pinpoint the traits of organic issues which can be most conducive to being solved by AI methods. Subsequently, we delineate three conceptual generations of bio AI approaches within the biotech business and contend that essentially the most vital future breakthrough will come up from the transition away from conventional “white-box” knowledge, comprehensible by people, to novel high-throughput, low-cost AI-specific “black-box” knowledge modalities developed in tandem with acceptable computational strategies.“Biology 2.0” imagined by DALL-E 3.This submit was co-authored with Luca Naef.The discharge of ChatGPT by OpenAI in November 2022 has thrust Synthetic Intelligence into the worldwide public highlight [1]. It doubtless marked the primary occasion the place even folks removed from the sector realised that AI is imminently and quickly altering the very foundations of how people will work within the close to future [2]. A yr down the street, as soon as the restrictions of ChatGPT and related programs have grow to be higher understood [3], the preliminary doom predictions starting from the extra recurring panic about future large job substitute by AI to declaring OpenAI because the bane of Google, have given place to impatience — “why is it so gradual?”, within the phrases of Sam Altman, the CEO of OpenAI [4]. Familiarity breeds contempt, because the saying goes.We are actually seeing the identical frenetic optimism round AI within the organic sciences, with hopes which can be in all probability finest summarised by DeepMind…