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AlphaGenome: AI for better understanding the genome

deepmind.google

21–30 of 193 posts

Re: AlphaGenome: AI for better understanding the genome

#21
post #17

this is such an interesting problem. Imagine expanding the input size to 3.2Gbp, the size of human genome. I wonder if previously unimaginable interactions would occur. Also interesting how everything revolves around U-nets and transformers these days.

> Also interesting how everything revolves around U-nets and transformers these days.

To a man with a hammer…

Re: AlphaGenome: AI for better understanding the genome

#24
post #16

Earlier quoted context omitted.

FWIW, I interpreted more as "This is something I wanted to see happen, and I'm glad to see it happening even if I'm not involved in it."

Could be either. Nevertheless, while tone is tricky in text, the writer is responsible for relieving ambiguity.

eliminating ambiguity is impossible. the reader should work to find the strongest interpretation of the writer's words

Re: AlphaGenome: AI for better understanding the genome

#25
post #2

When I went to work at Google in 2008 I immediately advocated for spending significant resources on the biological sciences (this was well before DM started working on biology). I reasoned that Google had the data mangling and ML capabilities required to demonstrate world-leading results (and hopefully guide the way so other biologists could reproduce their techniques). We made some progress- we used exacycle to demo…

> Sundar is a really uninspiring leader I understand, but he made google a cash machine. Last quarter BEFORE he was CEO in 2015, google made a quarterly profit of around 3B. Q1 2025 was 35B. a 10x profit growth at this scale well, its unprecedented, the numbers are inspiring themselves, that's his job. He made mistakes sure, but he stuck to google's big gun, ads, and it paid off. The transition to AI started late but…

Like Ballmer, he was set up for success by his predecessor(s), and didn't derail strong growth in existing businesses but made huge fumbles elsewhere. The question is, who is Google's Satya Nadella? Demis?

Re: AlphaGenome: AI for better understanding the genome

#26
post #16

Earlier quoted context omitted.

FWIW, I interpreted more as "This is something I wanted to see happen, and I'm glad to see it happening even if I'm not involved in it."

Could be either. Nevertheless, while tone is tricky in text, the writer is responsible for relieving ambiguity.

It's also natural language though, one can find however much ambiguity in there as they can inject. It hasn't for a single moment come across as pretentious to me for example.

Think of all the tiresome Twitter discussions that went like "I like bagels -> oh, so you hate croissants?".

Re: AlphaGenome: AI for better understanding the genome

#28
post #2

When I went to work at Google in 2008 I immediately advocated for spending significant resources on the biological sciences (this was well before DM started working on biology). I reasoned that Google had the data mangling and ML capabilities required to demonstrate world-leading results (and hopefully guide the way so other biologists could reproduce their techniques). We made some progress- we used exacycle to demo…

> Sundar is a really uninspiring leader I understand, but he made google a cash machine. Last quarter BEFORE he was CEO in 2015, google made a quarterly profit of around 3B. Q1 2025 was 35B. a 10x profit growth at this scale well, its unprecedented, the numbers are inspiring themselves, that's his job. He made mistakes sure, but he stuck to google's big gun, ads, and it paid off. The transition to AI started late but…

He delivered revenue growth by enshittifying Goog's products. Gemini is catching up because Demis is a boss and TPUs are a real competitive advantage.

Re: AlphaGenome: AI for better understanding the genome

#29
post #2

When I went to work at Google in 2008 I immediately advocated for spending significant resources on the biological sciences (this was well before DM started working on biology). I reasoned that Google had the data mangling and ML capabilities required to demonstrate world-leading results (and hopefully guide the way so other biologists could reproduce their techniques). We made some progress- we used exacycle to demo…

Did you ride the Santa Cruz shuttle, by any chance? We might have had conversations about this a long while ago. It sounded so exciting then, and still does with AlphaGenome.

Re: AlphaGenome: AI for better understanding the genome

#30
post #9

Earlier quoted context omitted.

[flagged]

I don't find it rude or pretentious. Sometimes it's really hard to express yourself in hmm acceptable neutral way when you worked on truly cool stuff. It may look like bragging, but that's probably not the intention. I often face this myself, especially when talking to non-tech people - how the heck do I explain what I work on without giving a primer on computer science!? Often "whenever you visit any website, it eve…

100% but in this case they uh… didn’t work on it, it seems?
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