Uszkoreit: Screening approaches cannot handle multi-antigen personalized cancer vaccines
Jakob Uszkoreit · No Priors Ep. 29 | With Inceptive CEO Jakob Uszkoreit · Aug 24, 2023 · at 23:25
Jakob Uszkoreit, CEO of Inceptive and Transformer co-author, discusses why generative ML is required instead of empirical screening in RNA design.
0:00 / 0:26exact quote · 26.4s
▶ Watch the full episode on YouTube → 720p mp4 · rendered on demand · StarZero watermark
“Because screening is just not going to cut it 10 to the second and 30th, and that's really just one antigen that we're coding for there when we actually want to code for many and update those for any given. [1415] Sarah Guo: For any given, yep. [1416] Jakob Uszkoreit: Exactly. [1417] Jakob Uszkoreit: When you do personalized cancer vaccines, it is going to be many antigens for each patient over time, right? And there's just no hope of basically tackling this with screening approaches at all.”
quote is from the automated transcript, cleaned for reading: filler sounds and stutters are removed, nothing is rephrased. names can be misheard (the analysis reads context, assessments check outside sources). how →
More from Jakob Uszkoreit
Uszkoreit doubts humans will ever achieve full mechanistic understanding of biology
“I don't have very high hopes for humanity to develop that conceptual understanding to the level that we would need it in order to do all the interventions we want to do.”
Uszkoreit: Hardware efficiency is the only proven way to advance deep learning
“At the end of the day, in my mind, that's the one and only thing we know really works. If you want to push deep learning forward is to make it faster and more effective and more efficient on a given piece of Hardware.”
Uszkoreit: Transformer breakthrough was driven by accelerator hardware fit
“And if you want to look at, say, the biggest differences, for example, between the transformer, as it was described in the attention is all you need paper, and some of its ancestors, like this decomposable attention model, the big difference is just that the t…”
Uszkoreit: GPUs are not at the sweet spot for large-scale deep learning
“I don't think GPUs are at the sweet spot when it comes to large-scale deep learning with respect to exactly those trade-offs, and so it may very well be that if we actually try these combinations, we might actually even quickly find something that's better.”
Uszkoreit: Community optimism drove Transformer adoption and success
“The other main contributor, I think, to the success of this architecture was optimism and hope. So suddenly you were in a situation where, for whatever reason, a bunch of things that people tried with this started to work, and then more started to work, and th…”
Uszkoreit: Training on synthetic data works by amortizing generation compute
“And ironically, and this comes back to a question that many people ask, I think around, does it make any sense to train on generated data? Because information theory, family information theory, very clearly says, nope, you're not going to get more information …”