jasondclinton

If you use context cacheing, it saves quite a lot on the costs/budgets. You can cache 900k tokens if you want.

This is false.

Thanks for the report! We're addressing it urgently.

Starlink has been deployed on JSX for almost a year now and I've taken quite a few flights on their Bay Area to LA and Vegas routes. Despite 20 people on the planes, no one has ever been on a video conference, though I could see it becoming an issue with a broader consumer base.

Hi, CISO at Anthropic here. Sorry that we didn't respond to your BAA request. I am accountable for our response to BAA requests and I'd like to dig into what happened here. If you are comfortable, would you please reach out to me at [email protected] to let me know how you sent your request in?

Got it, thanks for the feedback!

It's available now! Sorry for the delay.

It's live now! Sorry for the delay.

Hi, Anthropic is a 3 year old company that, until the release of GPT-4o last week from a company that is almost 10 years old, had the most capable model in the world, Opus, for a period of two months. With regard to availability, we had a huge amount of inbound interest on our 1P API but our model was consistently available on Amazon Bedrock throughout the last year. The 1P API has been available for the last few months to all.

No open weights model is currently within the performance class of the frontier models: GPT-4*, Opus, and Gemini Pro 1.5, though it’s possible that could change.

We are structured as a public benefit corporation formed to ensure that the benefits of AI are shared by everyone; safety is our mission and we have a board structure that puts the Response Scaling Policy and our policy mission at the fore. We have consistently communicated publicly about safety since our inception.

We have shared all of our safety research openly and consistently. Dictionary learning, in particular, is a cornerstone of this sharing.

The ASL-3 benchmark discussed in the blog post is about upcoming harms including bioweapons and cybersecurity offensive capabilities. We agree that information on web searches is not a harm increased by LLMs and state that explicitly in the RSP.

I’d encourage you to read the blog post and the RSP.

This is called a “compute multiplier” and, yes, we have a protocol for that. All AI labs do, as far as I am aware; standard industry practice.