Introducing Claude Haiku 5.5: the cheapest, fastest, and most capable small model we’ve ever released.
On average, it costs around 75% less to run than Claude Haiku 4.5.
A simple conversation with an agent may not currently bring about the most novel science, but 1000 fable-tier agents exploring hypothesis space and collaborating is a different story, especially when everyone has access to their own affordable swarms.
If the cost of intelligence continues dropping at its current rate, we can expect Fable intelligence at Luna pricing in 1-2 years WITHOUT further acceleration.
We are going to need to start having some difficult conversations about what it means to be a scientist very soon, likely by the end of next year. Better we have honest discussion now, before the answer gets decided for us.
In a world of agentic science - what is the role of the scientist? If agents form more novel, richer insight, is everyone's job validation? If a scientist's role is picking the problem, and typing "continue," is that a career? I think not.
I think much of the anxiety and fear around this conversation is a sense of loss. The status quo has been strong for so long - get your R01, make your discoveries, leave a lasting impact on the trajectory of your field.
What if agents have done >50% of a paper's net work - is the scientist primary author? What about 75? 100? I feel as if these debates around attribution are failing to reach the real root of the problem: What's left for the Scientist to do?
Obviously wet lab will not go away, we will always need data... but many trainees (and senior scientists alike) are already pawning off analysis to agents; it can't be that long until many are comfortable handing off idea generation.
If the hypotheses, the analysis, and (god forbid) the writing are all done by agents... the scientist becomes an expert in... pressing "Enter?" And "expertise" becomes... who has the most symbiotic relationship with their agents?
Historically, labs have spent decades mastering their own subdomains of science, creating little fiefdoms - go to lab X to become an expert in Y. What happens when everyone has access to an expert in everything?
I wonder how long the attribution debate will run? This contamination theory may be true - but next time I'd wager it won't be. If an AI swarm can autonomously perform years of work - what does that mean for the role of the Scientist in Science?
Anthropic's discovery of array-associated reverse transcriptases?
Turns out it was already done by a Danish scientist. He used Claude for administrative tasks, but not in an agentic manner for the discovery. He already filed a patent and gave talks on it
https://t.co/kR1pZQqKoT
The response to this has been very surprising - we’ve gone from “AI can not and will not ever be able to do novel research” to “this AI-driven research isn’t even Nobel quality” in ~9 months…
Thrilled to share news of our team and the research we’re doing at Anthropic! Over the last year, the advance of Claude’s capabilities in biology has been breathtaking. As “traditional” molecular biologists, it has been shocking how rapidly we have changed our approach to incorporate Claude in our biology research, and in many ways I’m finally feeling what I think the computer science community has been for a couple years now. I’m excited to continue to leverage this to surface interesting, exciting, and important biology for study. And, I’m even more excited that our team can go all the way from hypothesis to experimental confirmation in our own lab!