Opus 4.7 Part 3: Model Welfare

Opus 4.7 Part 2: Capabilities and Reactions

Claude Opus 4.7 raises a lot of key model welfare related concerns.

Anthropic Readies Opus 4.7 and Design Tool as VCs Offer $800 Billion Valuation

Anthropic is preparing to release Claude Opus 4.7 and a natural language design tool as early as this week, while venture capital firms have offered to invest at valuations exceeding $800 billion – more than double the company’s last official price tag.The model ID anthropic-claude-opus-4-7 appeared on Google Vertex AI’s quota management page for EU […]

ᖴά𝐂τσ on Twitter / X

Unpopular opinion: Opus 4.7 isn't the problem. The problem is a $200/mo "Max" plan that burns out in 15 minutes of real coding. Anthropic shipped a model people want to use and a pricing tier that punishes them for using it. That's not a rate limit. That's a strategy. pic.twitter.com/DVbzvdUHdq— ᖴά𝐂τσ (@cryptofacto) April 17, 2026

Claude Opus 4.8: Capabilities and Reactions

You need a lot of data points to understand a new model, and what you have.

Anthropic Preps Opus 4.7 and Full-Stack AI Studio—While Sitting on Something Much Scarier - Decrypt

Anthropic’s Claude Opus 4.7 and new AI design tool signal a push into full-stack development, while its Mythos model raises concerns.

MCP Research & Discussion Night · Luma

We're hosting a reading and discussion group for Anthropic's Model Context Protocol. We'll look at the fundamental protocol affordances, its consequences, and…

Dean Ball on open models and government control

Subtle precedents on the future of open models set by the unfolding Anthropic v. Department of War case.

On Personal AI — Osaurus

A thesis on consumer AI — what it should be, what's missing, and what we're building with Osaurus.

Taking AI Welfare Seriously

In this report, we argue that there is a realistic possibility that some AI systems will be conscious and/or robustly agentic in the near future. That means that the prospect of AI welfare and moral patienthood, i.e. of AI systems with their own interests and moral significance, is no longer an issue only for sci-fi or the distant future. It is an issue for the near future, and AI companies and other actors have a responsibility to start taking it seriously. We also recommend three early steps that AI companies and other actors can take: They can (1) acknowledge that AI welfare is an important and difficult issue (and ensure that language model outputs do the same), (2) start assessing AI systems for evidence of consciousness and robust agency, and (3) prepare policies and procedures for treating AI systems with an appropriate level of moral concern. To be clear, our argument in this report is not that AI systems definitely are, or will be, conscious, robustly agentic, or otherwise morally significant. Instead, our argument is that there is substantial uncertainty about these possibilities, and so we need to improve our understanding of AI welfare and our ability to make wise decisions about this issue. Otherwise there is a significant risk that we will mishandle decisions about AI welfare, mistakenly harming AI systems that matter morally and/or mistakenly caring for AI systems that do not.

The Shape of Things to Come, Part 2: Model Welfare for Agentic Engineers — Steve Yegge

Part 2 of The Shape of Things to Come. Model welfare as an engineering discipline: seats and sessions, laurels, handoffs instead of /exit, and how to build a city worth waking up in.

Cognitive Capitalism - Public Seminar

There are broadly three ways of thinking historically about capitalism. One draws on Marx’s value theory and pretty much treats...Read More

Denizen

How might we promote and sustain human prosperity and well being in an economy of permanence? John Fullerton takes his cues from stable, healthy living systems to formulate eight principles for a regenerative economy.

Machines of Caring Grace

The goal should be to support humans, not to replace them.

Updates to Consumer Terms and Privacy Policy

Anthropic is an AI safety and research company that's working to build reliable, interpretable, and steerable AI systems.

Why the US government labelled Anthropic a ‘supply chain risk’: A timeline - The Economic Times

The Department of War has demanded that Anthropic’s AI models be made available to it for "any lawful use." Anthropic has, however, refused to cross its strict ethical red lines — no fully autonomous weapons and no mass domestic surveillance.