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A Gemma model helped discover a new potential cancer therapy pathway

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Re: A Gemma model helped discover a new potential cancer therapy pathway

#23
post #13
post #3

Earlier quoted context omitted.

Well you might be pleased to know that there are large safety teams working at all frontier model companies worried about the same thing! You could even apply if you have related skills.

I thought openAI gave up on safety when Anthropic splintered off as well as when they engaged ScaleAI to traumatize people for RLHF? Or Google when they fired Timnit?

The GPT5 system card is 59 pages. Pages 5 to 56 address safety in various forms.

https://cdn.openai.com/gpt-5-system-card.pdf

Re: A Gemma model helped discover a new potential cancer therapy pathway

#24
post #19
post #16

Earlier quoted context omitted.

We’ve just had a virus - specifically engineered to be highly infectious for humans - escaping the lab (which was running very lax safety level - BSL2 instead of required BSL4) and killing millions and shutting down half the globe. So I’m wondering what safeguards and prevention you’re talking about :)

You're trying to deflect the discussion into a polemic tarpit. That's not going to work. I do not endorse the view that covid was engineered. Also, I consider it to be unrelated to what I am concerned about, and I will kindly explain it to you: Traditional labs work with the wet stuff. And there are a lot of safeguards (the levels you mentioned didn't came out of thin air). Of course I am in favor of enforcing the ex…

>For example, by carefully weaving around international rules and doing the development using simulations, which can bypass outdated assumptions that didn't foresaw that this could be possible when they were conceived.

Covid development in Wuhan was exactly a careful weaving - by means of laundering through EcoHealth - around the official rule of "no such dangerous GoF research on US soil". Whether such things weaved away offshore or into virtual space is just minor detail of implementation.

Re: A Gemma model helped discover a new potential cancer therapy pathway

#25
Remarkably some claim AI has now discovered a new drug candidate on its own. Reading the prep-print (https://www.biorxiv.org/content/10.1101/2025.04.14.648850v2....), it appears the model was targeted to just a very specific task and without evaluating other models on the same task. I know nothing about gens, and I can see that is an important advance. However, seems a bit headline grabbing when claiming victory for one model without comparing against others using the same process.

Re: A Gemma model helped discover a new potential cancer therapy pathway

#27
post #24
post #19

Earlier quoted context omitted.

You're trying to deflect the discussion into a polemic tarpit. That's not going to work. I do not endorse the view that covid was engineered. Also, I consider it to be unrelated to what I am concerned about, and I will kindly explain it to you: Traditional labs work with the wet stuff. And there are a lot of safeguards (the levels you mentioned didn't came out of thin air). Of course I am in favor of enforcing the ex…

>For example, by carefully weaving around international rules and doing the development using simulations, which can bypass outdated assumptions that didn't foresaw that this could be possible when they were conceived. Covid development in Wuhan was exactly a careful weaving - by means of laundering through EcoHealth - around the official rule of "no such dangerous GoF research on US soil". Whether such things weaved…

Still irrelevant to what I brought up.

Re: A Gemma model helped discover a new potential cancer therapy pathway

#28
post #8

This is so awesome. Hoping those in the biology field can comment on the significance.

It is awesome.

But what I’ll say is, ideally they would demonstrate whether this model can perform any better than simple linear models for predicting gene expression interactions.

We’ve seen that some of the single cell “foundation” models aren’t actually the best at in silico perturbation modeling. Simple linear models can outperform them.

So this article makes me wonder: if we take this dataset they’ve acquired, and run very standard single cell RNA seq analyses (including pathway analyses), would this published association pop out?

My guess is that yes… it would. You’d just need the right scientist, right computational biologist, and right question.

However, I don’t say this to discredit the work in TFA. We are still in the early days of scSeq foundation models, and I am excited about their potential.

Re: A Gemma model helped discover a new potential cancer therapy pathway

#29
post #25

Remarkably some claim AI has now discovered a new drug candidate on its own. Reading the prep-print ( https://www.biorxiv.org/content/10.1101/2025.04.14.648850v2.... ), it appears the model was targeted to just a very specific task and without evaluating other models on the same task. I know nothing about gens, and I can see that is an important advance. However, seems a bit headline grabbing when claiming victory fo…

If someone discovers anything, it does not change anything if someone else could have discovered it theoretically as well?
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