Well, I’d add one more with myself, as one with a PhD in biology and another PhD in AI and now working in both, to make n=2. Generating a hypothetical genome blueprint of a virus from LLM versus generating a true virus are completely different things. It is either an intentional attention-harnessing lie or true ignorance. The material, the manufacturing, and actual biological viability of paper-to-physical transformation is the gap you need to close. Like drawing a design of a chip or A-bomb, versus actually make one. You have, and can add more checkpoints and guardrails all over this long chain of paper to physical transformation. Fear mongering is not well founded, and mostly emotional manipulation.

When you consider a house, do you just want to be a pay-to-stay tenant like in a hotel, or buy it but without blueprint and document, or own the house alone with all its wiring, plumbing, design and construction details? What if this house is AI ? Today’s release marks the first panoramic debut of IFM’s K2 fleet — six 360-open source LLMs ranging from 0.9B all the way to 375B covering deployment needs from smart watch to enterprise data center, all reaching SOTA or top tier performance, some punching above their weights. For every model, their training lifecycle, code, data, logs, all you need to reproduce the results and take it further are put in your hands. We are committed to transparent AI and open science.