Not sure if anything in tech has ever gotten as much broad-based support and alignment as this post and message.
The key now is that America should actually step up and continue to push open weights innovation. It’s good for the entire market, including the frontier labs.
Open weights accelerates the diffusion of AI across the economy by providing more options for specific customer requirements, can lower the cost of certain workloads, and you can tune models for areas of work that don’t always make sense in a horizontal frontier model.
Claude Opus 5 is out now, and it's a huge jump over Opus 4.8 on a wide number of capabilities.
At Box, we've been testing Claude Opus 5 with the Box AI Agent on Box's Complex Work Eval, our agentic benchmark that puts models through real enterprise document work end-to-end across a variety of industries. We saw meaningful gains in performance across some of the most complex enterprise tasks on unstructured data.
Here are a few examples of some of the wins we saw in testing:
* Due diligence (+17%): On a transaction due-diligence review, Opus 5 worked through the full set of required findings and flagged the ones Opus 4.8 missed. It stays thorough as the checklist grows instead of catching the obvious items and stopping.
* Life Sciences (+30%): On a target-identification task, it intersected several ranked datasets under a strict matching rule to find the targets common to all of them. Opus 4.8 over-included partial matches and dropped genuine ones.
* Legal (+12%): On a clause-by-clause contract review against a policy, Opus 5 scored every item and correctly cleared the clauses that were acceptable under an exception where Opus 4.8 both missed items and mis-scored the exception.
* Technology (+19%) and Healthcare (+13%) showed the same pattern: complete, precise, multi-step analysis over messy source material.
Overall, the reasoning, analytical, and data processing skills of Opus 5 outshine Opus 4.8 meaningfully. Going to be very powerful for enterprise agentic use-cases. You'll be able to build agents with Opus 5 in the Box AI Studio shortly.
Very happy to have Box sign this letter. We’re big believers in the power of open weights AI.
Open weights models help to drive the industry forward in a variety of ways to ensure more innovation, creativity, and diffusion of AI.
You get to have layers of the stack that emerge to post train models for highly specific purposes, which makes AI more useful in real world scenarios. Instead of waiting for just a few players to go deep in a domain, you get dozens or hundreds of attempts at that vertical, like in finance, life sciences, legal, healthcare, and more.
You get to see variance in how to handle safety and cyber risks. Instead of just one approach, you get a peek into what happens advanced capabilities can be used to build better systems to are used to defend systems.
You get alternative approaches to training and building AI models. In more compute constrained environments, you develop more novel and efficient approaches to model training, which every other lab can learn from.
And you get different cost structures for different workloads. High end and orchestration tasks can go to the closed frontier models and specific workhorse tasks can be done more cheaply.
Open vs. closed is not a zero sum battle. The reason why you want strong open weights models is because it pushes the entire AI industry forward.
Boris Cherny anthropicai