Introducing Claude Opus 5.5, the first model in our new Claude 5.5 family.
It performs at the level of Claude Fable 5.1 for most tasks, and costs 40% less to run than Opus 5.
Any pursuit of superintelligence has to be grounded in the core principle that if the AI we build is not helping humanity and under human control, it's not worth pursuing.
We also need to accelerate and spread the benefits of AI, such that they are diffused broadly across countries, communities, and companies. This requires a frontier ecosystem in which both closed and open-source models can thrive.
And for firms, it’s imperative that they retain full control over their unique and tacit knowledge. Every organization should be able to build its own continuous learning loop/hill climbing machine, without becoming dependent on any one model provider, and have the ability to embed its own knowledge into models and weights they control.
So, in this context, we welcome the research, focus, and deliberate pacing needed to get alignment right as the design goal. We also welcome ideas like "embedded evaluators" and the broader efforts to develop the mechanisms to make this more than just talk.
The key is that this cannot be controlled by a handful of entities, but must have broad representation across the ecosystem, countries, and fields, including academia.
This is the approach we are taking: broad access and choice at every layer of the AI stack; enterprise control of learning loops and models; and the “Code of Conduct” that underlies our own first party MAI models that we’ll publish tomorrow for public consultation.
We Must Pace the Frontier: I’ve written a new essay on why the AI industry should slow down, with a three-part plan for doing so.
Anthropic is unilaterally committing to the first of these steps. We’ll provide third-party evaluators with permanent, employee-level access to our systems, so that they can verify adherence to our safety measures, report on incidents, and assess models’ alignment during training.
You can read the full post here: https://t.co/OGyPb7yaYt
I agree with Dario that we need to pace the frontier. This has been a primary topic of discussions we've had at OpenAI in recent weeks.
Committing to having independent evaluators with employee-like access is a great idea, and we will do the same. We'll have more to share soon.
Mr. Coxon is right.
The very people building this technology admit that it could threaten the future of humanity.
That is why I will soon be introducing legislation to ban superintelligence and pause AI development.
🚨BREAKING: Anthropic’s Alignment Science Lead says there’s a >10% chance AI could kill ALL humans within the next decade.
Evan Hubinger says Anthropic is “trying its best” but admits:
“We do not yet have a plan to solve alignment for superintelligence and are not clearly on track to.”
إذا رأيتم مني خيرًا، فادعوا لأمي، فإنها أصل كل الخير في حياتي؛ فكل جميلٍ فيّ، بعد فضل الله، لها فيه نصيب، من صبرها و دعائها وحنانها وحبها الذي لا يُشبهه حب. ❤️
اللهم اجزها عني خير الجزاء، واحفظها وأمهات المؤمنين والمؤمنات، وارحم من رحلن منهن عن الدنيا، واغفر لهن. 🤲
الحقيقة التي تحيط بك في كل وقت، وتحلق فوق رأسك مثل الغيمة المثقلة، وتمطر على كتفيك وتبلل ثيابك وأنت تتظاهر أنك لا تشعر بها، هي أن الحياة لا تدين لك بشيء، وأنها غير عادلة، ولا ضمانة لأن يسير أي شيء فيها على ما يرام…
New Anthropic research: A global workspace in language models.
Of everything happening in your brain right now, only a tiny fraction is consciously accessible—thoughts you can describe, hold in mind, and reason with.
We found a strikingly similar divide inside Claude.
Madame Celeste Amarilla,
Vous êtes une femme méprisable et indigne de sa fonction.
Vous ne représentez pas le Paraguay, ce pays qui a transpiré la passion et l’honneur tout au long de la compétition. Par votre inconscience et votre racisme décomplexé, le monde entier a déjà oublié le parcours et l’effort historique que vos joueurs ont réalisés durant cette coupe du monde pour laisser place à une dame incompétente donnant la pire image possible de son pays.
Je ne laisserai jamais aux gens comme elle, la liberté de laisser propager leur haine et leur racisme à travers le monde.
Our latest economic research introduces a framework for tracking Claude Code as it scales.
Who is using Claude Code, and what are they using it for? How is the value of tasks changing? And how much does domain expertise shape whether a session succeeds?
https://t.co/IjjwQvrESo
Introducing Claude Fable 5: a Mythos-class model that we’ve made safe for general use.
Its capabilities exceed those of any model we’ve ever made generally available.