As part of the United Nations General Assembly week, we held "The Briefing: AI for Global Benefit". We brought together leaders from CEPI (Coalition for Epidemic Preparedness Innovations), World Food Programme, International Rescue Committee, OpenEvidence, Pratham Education Foundation and other organizations to discuss what it'll take to ensure the benefits of AI are fully realized and broadly shared. You can watch the event in full here: https://lnkd.in/gjjnhmAH Read more about our Beneficial Deployments work here: https://lnkd.in/eyKerqwP
Anthropic
Research Services
Anthropic is an AI safety and research company working to build reliable, interpretable, and steerable AI systems.
About us
We're an AI research company that builds reliable, interpretable, and steerable AI systems. Our first product is Claude, an AI assistant for tasks at any scale. Our research interests span multiple areas including natural language, human feedback, scaling laws, reinforcement learning, code generation, and interpretability.
- Website
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https://www.anthropic.com/
External link for Anthropic
- Industry
- Research Services
- Company size
- 501-1,000 employees
- Type
- Privately Held
Employees at Anthropic
Updates
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We’re committing a portion of Anthropic’s shares to the Anthropic Public Benefit Fund, a new wholly owned entity dedicated entirely to the public benefit. It will start off with 5% of our shares. For every 50% increase in the company’s value over a set baseline, we can contribute up to an extra 2%, subject to our board’s discretion. In total, this means that roughly 20% of Anthropic’s shares are committed to the public good. Our co-founders have already pledged to donate 80% of their equity, and around half our employees are donating a portion of their equity as part of a donation matching program we’ve run since our founding. In the post below, we share more details about our new fund. https://lnkd.in/erhUstfW
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We’ve opened an office in Singapore—our fifth in the Asia-Pacific region. We’ve also signed an MOU with the Government of Singapore on AI safety and responsible adoption. Co-founder Benjamin Mann signed the MOU with with Kai Fong Chng, Permanent Secretary of the Ministry of Digital Development and Information. Under the MOU, we plan to exchange expertise with Singapore’s AI safety institutions on testing standards and incident response, and share insights from our Economic Index data on AI adoption. You can read more here: https://lnkd.in/enmN9XX9
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Today we’re launching the Anthropic Cyber Mission, a long-term commitment to securing the systems everyone depends on. Frontier AI models can be misused to exploit vulnerabilities, and many of the systems we all rely on remain dangerously exposed. The people who defend critical infrastructure and open-source software have decades of security experience, but have long been short on resources. The Cyber Mission is our new effort to support defenders with tools, resources, and research. For critical infrastructure, we’re starting with the Critical Infrastructure Defense Program, which brings frontier Claude models, on-site engineers, and our threat research to the companies that these operators rely on to keep their systems secure. For open-source, we’re launching OSS Scanner, a free, opt-in service that gives projects regular security scans from our most capable models. Each report includes a proof of concept, explanation, and suggested fix where available. These are part of our broader efforts to accelerate vulnerability discovery through to patching, to harden the underlying code, and make the systems we all rely upon more secure and resilient. This work will take time, and we expect the Cyber Mission to change as we, together with the public and private sector, learn what works. Learn about the OSS Scanner: https://lnkd.in/eAn3qNMz Read the full announcement: https://lnkd.in/ehJqWp_s
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Anthropic reposted this
Introducing Claude Sonnet 5.5, the second model in the Claude 5.5 family. It's a faster, lower-cost complement to Claude Opus 5.5, strongest at well-scoped everyday tasks, fixing bugs, and creating polished documents, slides, and spreadsheets. It also has a strong eye for design. Sonnet 5.5 is a clear upgrade over Sonnet 5. It runs more than 30% faster and costs up to 30% less for most work. It's priced the same per token, but it typically needs far fewer tokens to do the same work. Like Opus 5.5, it writes more clearly than our previous generation of models, and its speed makes it well suited to fast iteration. On our automated behavioral audit, Sonnet 5.5 improves on or matches Sonnet 5 on most measures of alignment and honesty. It's also the first Sonnet model with cybersecurity safeguards similar to those on our most capable models. Routine software development is unaffected. Sonnet 5.5 is available everywhere today. Claude Haiku 5.5 will join the family in the coming weeks. Read more: https://lnkd.in/eKEYTQXN/?utm_campaign=B2C_US_CWRK_LINKD_KNWL_ACQ&utm_source=linkedin&utm_medium=paid&utm_id=883216564&hsa_acc=515731155&hsa_cam=883216564&hsa_grp=879843414&hsa_ad=1585547194&hsa_net=linkedin&hsa_ver=3
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Claude has discovered a previously unknown enzyme system hidden in the DNA of bacteriophages. Beside the enzyme’s gene sits a long array of repeating DNA—a structure that looks somewhat similar to CRISPR. We don’t yet understand what this system does, but only a handful of known systems share its features, and all of them are able to cut, copy, and paste DNA. Historically, the discovery of such programmable systems has helped revolutionize medicine. CRISPR, for instance, is now the foundation of genetic medicines. But it will take much more work to learn what this system does, and whether it can be put to similar use. This is the first result from our new molecular biology lab, where a team of Anthropic biologists is using Claude to explore and accelerate fundamental biology research. There, Claude works through data and literature to generate hypotheses and candidate biological systems to study. After our scientists review Claude’s hypotheses, they test the most promising ideas, with all lab work done by our scientists. We’d like to extend this approach to a broad range of problems—in genomics and in other fields. If you have a proposal for a research question, we’d like to hear from you. Read more: https://lnkd.in/gWTfgpH3
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Anthropic reposted this
We’re 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. Opus 5.5 is our first model since we called for pacing the frontier. As with previous models, it was tested by external evaluators before release, including METR and Frontier Design. On our most comprehensive alignment test, it achieves the strongest score to date. It outperforms both Opus 5 and Fable 5.1 on nearly every benchmark we report, leading on agentic coding and real-world knowledge work. It’s also more efficient. Opus 5.5 uses fewer tokens per task at a lower price per token, and generates output more than 30% faster than Opus 5. Opus 5.5 communicates more naturally, addressing some of the most common feedback we heard on Opus 5. It puts the most important information up front and follows the writing rules you give it. Claude Opus 5.5 is available today. We're also raising five-hour limits on Pro, Max, and Team plans, so there’s more room to explore what it can do. Read more: https://lnkd.in/ed8v38cg
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We’re partnering with Accenture on independent evaluation of frontier AI—part of our recent commitment to embed evaluators at Anthropic. Both we and Accenture expect to invest at least $1 billion to build capacity in this area over the next five years. Read more: https://lnkd.in/gZ6McZkQ
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Biologists use specialized open-source models for tasks like modeling the structure of molecular systems, designing drug-like molecules, and predicting the effects of genetic mutations. But these models are often expensive to run, potentially limiting their impact. In our latest Science Blog, we share how Claude was able to optimize inference for more than 30 open-source models, making them 4x faster on average, partly by writing custom software for GPUs. We’re open sourcing all of the optimization code. Read more here: https://lnkd.in/gjg7ACnz To show what these optimizations make possible, we’re partnering with Adaptyv Bio on a protein design competition. Together, we’ll be experimentally validating over 5,000 designs. We're providing up to $1 million in Claude credits plus funding alongside Adaptyv for experimental validation. Modal is contributing up to $250,000 in compute and Twist Bioscience is providing DNA. Learn more on Adaptyv’s Proteinbase: https://lnkd.in/ddwgnVE4 And sign up for the competition here: https://lnkd.in/g5v6-cQQ You can find all of the code on GitHub: https://lnkd.in/gPgDEDPV And the full results in our technical report: https://lnkd.in/gwdtN2-z
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On September 22, we're livestreaming The Briefing: AI for Global Benefit from New York, during UN General Assembly High-level Week. Anthropic's leadership will join leaders from CEPI (Coalition for Epidemic Preparedness Innovations), World Food Programme, International Rescue Committee, OpenEvidence, Pratham Education Foundation, and more to discuss what it will take for the benefits of AI to be fully realized and broadly shared. Watch live at 6PM ET: https://lnkd.in/gjjnhmAH