57 points dataking 1 hour ago 42 comments
adamredwoods 1 hour ago | parent
>> If Claude is to significantly increase the rate of new cures, we need to work with many more biotechnology firms and integrate Claude more deeply into their development processes
Sounds invasive.
dyauspitr 1 hour ago | parent
SwellJoe 35 minutes ago | parent
I'd be happy to be wrong, though. I've never tried to do biology with Claude, but I have gotten many refusals and downgrades for security work.
rtsil 7 minutes ago | parent
Sarkie 1 hour ago | parent
ChrisMarshallNY 45 minutes ago | parent
Some, do what it says on the tin.
Some...not so much.
The issue with any new chemical is full, comprehensive, regulated testing.
Dodgy folks aren't really so good, with that last part. They use their customers as guinea pigs.
yewenjie 1 hour ago | parent
redanddead 55 minutes ago | parent
enraged_camel 55 minutes ago | parent
Since sequential steps are slow, I think we're going to see massive increases in parallelization. I'm not sure how the regulatory frameworks will keep up honestly.
slashdave 51 minutes ago | parent
Why? This is not an AI problem, it's an industry one. And if it was simple, it would already exist.
menaerus 44 minutes ago | parent
Not necessarily. Many things are simply gatekept behind the door.
xp84 29 minutes ago | parent
Bluestein 41 minutes ago | parent
I wonder what the unlock would be, if any, of having simulations substitute any (or all, in time) of these steps. Akin to the method used to train FSD cars, or robots.-
xp84 25 minutes ago | parent
But I'm no biologist so if someone else is, feel free to correct me.
jurgenburgen 25 minutes ago | parent
slashdave 52 minutes ago | parent
xhevahir 50 minutes ago | parent
dennysora-main 36 minutes ago | parent
I've always thought openai could actually create an agent that can control various physical robotic arms and things like that, and then continuously iterate on solutions that can participate in the real physical environment. This could accelerate automatic iteration for many things that require human operations, such as complicated experiments, assembly adjustments, and testing.
Otherwise, AI is always trapped in virtual systems and still needs human intervention. But even though AI is already very powerful now, there is still a limit to how much humans can handle or assign tasks. Many times, AI has already finished processing something, but I don't even have time to assign the next deeper level of tasks.
People hope AI can improve productivity, but at the same time they're afraid of AI actually getting involved in reality, while the valuation of the entire AI industry is so high.
This kind of wanting to move forward but not moving forward makes humans especially uncomfortable.
ungovernableCat 10 minutes ago | parent
Biology is the complete opposite of that.
jon128 56 minutes ago | parent
ruther4d 52 minutes ago | parent
“Generate scientist” … is that a real job like “prompt engineer”
anigbrowl 42 minutes ago | parent
gonzalohm 33 minutes ago | parent
gonzalohm 29 minutes ago | parent
Either that or six degenerate scientists. Both options work just fine
klustregrif 7 minutes ago | parent
The company is called Generate Biomedicines, and they reference it in short as Generate.
inglor_cz 51 minutes ago | parent
Same applies to construction projects, BTW.
fwlr 42 minutes ago | parent
gonzalohm 26 minutes ago | parent
If that's the bottleneck maybe we need to rethink all the bureaucracy around the process instead of using AI to fill a document and then using AI to read it. That's just plain stupid.
1970-01-01 17 minutes ago | parent
klustregrif 2 minutes ago | parent
orthogonal_cube 23 minutes ago | parent
> If Claude is to significantly increase the rate of new cures, we need to work with many more biotechnology firms and integrate Claude more deeply into their development processes.
Given all that, the wording here feels very self-serving. Cautious optimism is probably warranted.
daemonk 20 minutes ago | parent
The problem is that biology is like trying to reverse engineer alien technology to understand how it works. Math/engineering is more like building up complexity through well defined parts. Math/engineering is a heck of a lot more deterministic than biology. The ultimate bottleneck in biology in context of AI is well curated and breadth of data, not necessarily intelligence.
rao-v 3 minutes ago | parent
I know Anthropic are brilliant at knowing when to focus where, but I genuinely expected them to be talking about 3-5x more serious scaled up drug discovery plays at this stage.
Is this not a focus, or did the big plays not want to be part of a roundup post?