Positive users see frontier AI models retaining value for critical problems alongside open approaches, while negative users dismiss examples like protein modeling as unrepresentative since key drug discovery advances were shared openly.
Based on 2 visible X reactions from 2 accounts; directional sample.
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I don't view it as nearly so binary. AI's gonna be big & both will win. You'll see companies benefit from both trends. Frontier intelligence will always be quite valuable & people will continue to pay a strong premium for that. There'll be tasks that you don't need to use an Anthropic for..
@MollySOShea @IVP @shreyas_garg3 Protein modeling is a terrible example. The most impactful AI work in drug discovery was shared openly. Expensive does not mean more capable.
.@IVP Partner Shreyas Garg (@shreyas_garg3) says the open source vs. closed model debate is wrong "I'm invested in a protein model. They're helping pharma companies optimize & develop better drugs.. I want frontier intelligence on that. I want that thing trying to solve cancer. You're not gonna use the open source cheap model for that. You're gonna use the expensive stuff because you actually wanna solve a very, very important problem. And there are a lot of important problems that will always exist in the world. So I think the value of frontier intelligence will be pretty durable.
I don't view it as nearly so binary. AI's gonna be big & both will win. You'll see companies benefit from both trends. Frontier intelligence will always be quite valuable & people will continue to pay a strong premium for that. There'll be tasks that you don't need to use an Anthropic for..
@MollySOShea @IVP @shreyas_garg3 Protein modeling is a terrible example. The most impactful AI work in drug discovery was shared openly. Expensive does not mean more capable.
.@IVP Partner Shreyas Garg (@shreyas_garg3) says the open source vs. closed model debate is wrong "I'm invested in a protein model. They're helping pharma companies optimize & develop better drugs.. I want frontier intelligence on that. I want that thing trying to solve cancer. You're not gonna use the open source cheap model for that. You're gonna use the expensive stuff because you actually wanna solve a very, very important problem. And there are a lot of important problems that will always exist in the world. So I think the value of frontier intelligence will be pretty durable.
Positive users see frontier AI models retaining value for critical problems alongside open approaches, while negative users dismiss examples like protein modeling as unrepresentative since key drug discovery advances were shared openly.
Based on 2 visible X reactions from 2 accounts; directional sample.
Ask a question below.
Published answers will appear here.