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Our Approach to Bioresilience: Isomorphic Labs and Google DeepMind
21–26 of 26 posts
Re: Our Approach to Bioresilience: Isomorphic Labs and Google DeepMind
#22[flagged]
I thought it was strange that I hadn't heard of this...apparently it's widely agreed that it's a conspiracy theory started by Russia and then amplified by China.
Re: Our Approach to Bioresilience: Isomorphic Labs and Google DeepMind
#23Re: Our Approach to Bioresilience: Isomorphic Labs and Google DeepMind
#24One thing I really admire about isomorphic and DeepMind in general is that they really try and encode human ingenuity into their models. The only reason that AlphaFold worked wasn't because they had better hardware or more money to train models - it's because they used every bit of information they had access to. The same goes for AlphaGenome - it only takes a few hours to train the model, but it's freaking amazing w…
Frankly, I haven’t been impressed with AlphaGenome at all. What use cases have had good results for you?
IMO, out of all the products with the “Alpha_____” branding, AlphaGenome is the most underwhelming.
Re: Our Approach to Bioresilience: Isomorphic Labs and Google DeepMind
#25Earlier quoted context omitted.
Strongly disagree. Google (and Apple) need only be near the frontier. Their incredible distribution and integration will propel them far beyond the next marginal billion dollar benchmarkmaxxing.
I'm saying that. But they're falling further behind day by day. Gemini 3.5 Pro is allegedly months behind. If they can't keep up they're going to be left in the dust.
Lol. The average American isn't ponying up $20/mo for the latest and greatest model. Barring major breakthroughs, being months ahead is a race to the bottom of who can burn more money to get 0.1% on a benchmark with no practical relevance.
Re: Our Approach to Bioresilience: Isomorphic Labs and Google DeepMind
#26One thing I really admire about isomorphic and DeepMind in general is that they really try and encode human ingenuity into their models. The only reason that AlphaFold worked wasn't because they had better hardware or more money to train models - it's because they used every bit of information they had access to. The same goes for AlphaGenome - it only takes a few hours to train the model, but it's freaking amazing w…
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