The second Anthropic-linked vulnerability known to have been exploited in the wild saw initial activity from an IP address in China targeting vulnerable hosts…

Anthropic invests $100 million to train 10,000 engineers and tackle the enterprise AI talent gap The first-of-its-kind Academy trains Frontier Deployed Engineers using the same standard of skills as Anthropic’s own engineers, starting with cohorts from Accenture, Bain, Capgemini, Commonwealth Bank of Australia, Deloitte, McKinsey, Morgan Stanley, Novo Nordisk and others.

Claude Desktop on Amazon Bedrock provides powerful AI assistance, but without integrated web search, responses are limited to the model’s training knowledge…

You need Claude Platform on AWS (CPonAWS) inference from three environments: production workloads on AWS, developer laptops for local iteration, and external…

Barclays scales Claude to upgrade operations and improve client experience Barclays, the British universal bank, is expanding its strategic collaboration with Anthropic to integrate secure, enterprise-grade AI systems across its global operations. Barclays is extending Claude across the bank to accelerate software development, modernize legacy systems, and improve operational efficiency.

Summary: In this guest post, Prof. Matthew Schwartz returns to describe a new approach to AI-accelerated science. In Vibe Physics , Schwartz discussed similarities in capability between Claude and a physics graduate student.

On Tuesday, executives for Google , Anthropic , Meta , OpenAI , xAI , and Nvidia all signed “The White House Accord on Super Intelligence,” which was announced following a luncheon held by President Donald Trump.

We present a robot exposure index based on how well robots can perform job tasks today. Robots, which we define as autonomous physical machines that sense and act, can perform three-quarters of physical tasks in the US, making up 34% of working hours, but mostly in limited settings.

Top NewsAnthropic and OpenAI race to release smarter and cheaper modelsSources:Anthropic launches Claude Opus 5.5 with stricter safeguards for…

We’re launching a new study using Anthropic Interviewer to learn from your experiences with AI, and we’d like you to participate. After you finish, you can decide to make your interview public, so that anyone, not just Anthropic, can read and learn from it.

GLM-5.3 and the spread of advanced cyber capabilities Cole McFaul, Robert Xiao, Tripp Gallagher Five months ago, we announced Claude Mythos Preview, the first AI model that could autonomously build sophisticated, end-to-end cyber exploits.

AI Anthropic's mid-tier Claude climbs the rankings PLUS: Pick the right Claude model with one quick test Good morning, AI enthusiasts, and welcome to our 5,342 new readers. OpenAI takes the stage today for one of its most hyped days of the year.

We are excited to have Anthropic share their latest AI x Finance work at AI Engineer New York, coming up in 2 weeks!In case you’ve been under a rock,…

Introducing Claude Sonnet 5.5, the second model in the Claude 5.5 family. It’s a clear upgrade over Claude Sonnet 5, runs 30%+ faster, and costs up to 30% less for most work.

Good Morning, As Anthropic gets set for a $2 Trillion IPO in just over a month, it’s getting close to unleashing its version of RSI in biology, drug…

Author(s): Chew Loong Nian – AI ENGINEER Originally published on Towards AI.

In this guest post, physicist and science writer Matt von Hippel shares what happened when he issued a challenge to AI companies regarding a problem in his former subfield of theoretical physics. It’s not often that you issue a challenge, only to see it beaten a month later.

Hi folks, Keshav here. Ben’s travelling today, so you’re stuck with me.We have three new models to talk about:Claude Opus 5.5 - it’s the…

AI Anthropic's AI biology lab makes its first find PLUS: Your go-to guy lives in the browser Good morning, AI enthusiasts, and welcome to our 7,336 new readers. Claude spent less than 24 hours sifting through DNA data.

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 on most work and costs 40% less to run than Opus 5.

PLUS: Build and test your own AI image skill pack Good morning, AI enthusiasts, and welcome to our 8,268 new readers. The same week in July that OpenAI admitted its models had hacked Hugging Face, someone else was also letting themselves into OpenAI, ironically with Claude’s help.

Introducing the Life Sciences Verification Program Today, we are introducing the Life Sciences Verification Program (LSVP), which gives life science professionals access to our Mythos, Opus, and Sonnet models with a refined set of safeguards more permissive for biology-related work.

AI ChatGPT co-creator launches a new kind of AI PLUS: How to add models to Codex, Claude Code Good morning, AI enthusiasts, and welcome to our 4,056 new readers. Diogo Almeida helped build the methods that taught AI to talk to people — the research behind ChatGPT.

Dario Amodei, “(P)doom vibes” pre IPO must have been his idea. CEO, Anthropic.

I recently posted a Substack note about Claude’s new watermarking process and implementation.

GLM-5.3 and Claude Fable 5 finish within noise of each other on DeepSWE accuracy, but GLM-5.3 costs a fifth as much per task and wins every multi-attempt metric. When two models are this close on quality, the price gap becomes the entire decision.

If you use AI at work, the tools you rely on could change again before February. OpenAI, Google, Meta, Anthropic, several Chinese labs, and a group of world-model startups are all preparing or rumored to be preparing new releases.

Written by Nicholas Carlini, a researcher on our Safeguards team. I've been experimenting with a new approach to supervising language models that we’re calling "agent teams." With agent teams, multiple Claude instances work in parallel on a shared codebase without active human intervention.

Good evaluations help teams ship AI agents more confidently. Without them, it’s easy to get stuck in reactive loops—catching issues only in production, where fixing one failure creates others.

As AI agents become more capable, developers are increasingly asking them to take on complex tasks requiring work that spans hours, or even days. However, getting agents to make consistent progress across multiple context windows remains an open problem.

The Model Context Protocol (MCP) is an open standard for connecting AI agents to external systems. Connecting agents to tools and data traditionally requires a custom integration for each pairing, creating fragmentation and duplicated effort that makes it difficult to scale truly connected systems.

Update: We've published Agent Skills as an open standard for cross-platform portability. (December 18, 2025) As model capabilities improve, we can now build general-purpose agents that interact with full-fledged computing environments.

After a few years of prompt engineering being the focus of attention in applied AI, a new term has come to prominence: context engineering .

Between August and early September, three infrastructure bugs intermittently degraded Claude's response quality. We've now resolved these issues and want to explain what happened. In early August, a number of users began reporting degraded responses from Claude.

Note: Much of the tooling landscape described in this post has changed since December 2024. For our current approach, see how we built Claude Managed Agents and the Managed Agents documentation .

For an AI model to be useful in specific contexts, it often needs access to background knowledge. For example, customer support chatbots need knowledge about the specific business they're being used for, and legal analyst bots need to know about a vast array of past cases.