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Covered Models (Claude.com)(docs.claude.com)
Covered Models Updated yesterdayTable of contentsAnthropic may designate certain models as “Covered Models” when they cross capability thresholds that warrant additional safeguards or other treatment. This page lists the models currently designated as Covered Models and describes the data handling, privacy, and access policies that apply to them.Note: These policies apply only to the models listed on this page. All other Claude models continue to operate under your existing agreement and configured retention settings. What is a Covered Model?A Covered Model is a Claude model whose capabilities—for example in software engineering, agentic workflows, scientific reasoning, or cybersecurity — represent a substantial step up from prior generations and create elevated risk if misused. Because some forms of misuse only become detectable across many requests, these models require safeguards that operate over a retained window of usage data rather than on a single request at a time. Anthropic may designate certain models as "Covered Models" when their capabilities warrant additional safeguards or other treatment. When a model is designated as a Covered Model, it will be added to the list below and the policies on this page take effect for that model on every surface where it is offered. Current Covered ModelsModelDesignation dateStatusAvailabilityClaude Mythos 5June 9, 2026 Limited availabilityLimited access (approved partners)Claude Fable 5June 9, 2026 Generally availableClaude applications, Claude Platform, Amazon Bedrock, Google Cloud Agent Platform, Microsoft FoundryWe will update this list as new models are designated or as existing designations change. Policies that apply to Covered ModelsThe following policies apply to every Covered Model listed above, on every platform where it is available (Claude apps, Claude Platform, Amazon Bedrock, Google Cloud Vertex AI, and Microsoft Foundry). Data retention30-day minimum retention by default. Prompts and model completions are retained for at least 30 days and then automatically deleted, unless they are subject to a safety investigation or we are legally required to maintain them. Accordingly, zero data retention is not available in workspaces, Claude Enterprise organizations, or third-party platforms (e.g., Azure Subscriptions) where Covered Models can be accessed. Customers who are eligible for zero data retention can continue to use prior Claude models under their existing settings and agreements. Learn more about data retention practices for Covered Models here: Data retention practices for Mythos-class models. Use and review of retained dataHow retained data is used. Information about how Anthropic uses inputs, outputs, and other information from commercial and consumer plans can be found in our Privacy Center:Commercial CustomersConsumersAutomated review by default. Retained data is assessed by automated safety systems designed to flag harmful content. Security and privacy controlsInformation security program. Retained data is protected by Anthropic’s documented information security program, with breach notification in accordance with organizations’ agreements with Anthropic and our Data Processing Addendum. Availability and accessAll surfaces. These policies follow the model. They apply wherever Covered Models are offered, including third-party cloud platforms.Eligibility. Some Covered Models (such as Claude Mythos 5) are available only to approved partners under limited access programs. See the table above for current availability.Enablement. Contact your Anthropic account team to inquire about limited-availability models or grants or our security and privacy controls.Related ArticlesBusiness Associate Agreements (BAA) for Commercial CustomersDoes Anthropic Act as a Data Processor or Controller?Updates to our Acceptable Use Policy (now “Usage Policy”), Consumer Terms of Service, and Privacy PolicyModel availability in Claude for GovernmentData retention practices for Mythos-class modelsDid this answer your question?Table of contents
Meta Strips Facial Recognition Code from Smart Glasses App After Public Outcry(share.joinmastodon.org)
Just days after a damning WIRED report exposed that Meta had quietly embedded facial recognition technology (FRT) code into millions of phones, the tech giant has quietly acquiesced in demands to reverse course.Last week, researchers identified code in Meta AI, a companion app for its line of smart...
Becoming a whole coiner(reddit.com)
Hello everyone, I'm 20 years old and have a huge passion for finance. I'm currently one semester away from graduating college and want to be a financial advisor. I'm a huge ben Felix fan and SCV/Value believer and have a system that I stick too every week. With that being said, I hit an absolute homerun on crypto last year. Back when I was 15 I also used to mine BTC on a nice hash account off my gaming computer that didn't last long because my parents thought it was all fake and was raising our electricity bill. Where I'm going with this is that I have somewhat deep roots with crypto as a whole and told myself I wouldn't touch it again after I did so well at such a young age because I know most people don't make it out of this space alive. Recently however, I realized I'm in a very blessed spot and have this urge to get back into it. I would keep it very plain and simple and just own a single bitcoin and ignore it for the next few years. With bitcoin's current price my overall portfolio would be around 38% BTC which I'm not opposed to but it is definitely a mindset change. I'm partially used to it by now considering I survived liberation day 2025. Just looking to hear what people have to say about my situation, any feedback is much appreciated. submitted by /u/Overkill-621 [link] [Kommentare]
Anthropic's new model Fable will silently handicap work on LLMs [D](reddit.com)
Seems like they have engineered some specific limitations that are widely cited as follows: In light of the ability of recent models to accelerate their own development, we’ve implemented new interventions that limit Claude’s effectiveness for requests targeting frontier LLM development (for example, on building pretraining pipelines, distributed training infrastructure, or ML accelerator design). Using Claude to develop competing models already violates our Terms of Service, but enforcing this restriction through our safeguards avoids accelerating the actors most willing to violate these terms. Unlike our interventions for cybersecurity, biology and chemistry, and distillation attempts, these safeguards will not be visible to the user. Fable 5 will not fall back to a different model. Instead, the safeguards will limit effectiveness through methods such as prompt modification, steering vectors, or parameter-efficient fine-tuning (PEFT). These interventions will not affect the vast majority of coding work. We estimate they will impact ~0.03% of traffic, concentrated in fewer than 0.1% of organizations https://news.ycombinator.com/item?id=48464732 Other comments note how even using the word 'nuclear' in the context of scientific research elicits refusal behavior by the model: https://news.ycombinator.com/item?id=48473302 This makes it seem quite plausible that the model could subtly sabotage any machine learning work (even as false positive). Some suggest this has been happening behind the scenes for a while already, but can anyone confirm that? submitted by /u/AccomplishedCat4770 [link] [Kommentare]