cd/entity/Anthropic· home entities Anthropic
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Anthropic

Anthropic is an AI safety company founded in 2021 by former OpenAI researchers, including Dario and Daniela Amodei. It develops the Claude family of AI assistants and focuses on AI interpretability and safety research.

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// recent coverage 16136 mentions

04:02
2026-09-17
newsletter.port.io
ai-agents

Building a software factory is easy. Scaling it is a hard.

Platform engineering teams building agentic "software factories" hit scaling walls once they route nearly 100% of Jira issues through agents and expect hundreds or thousands of engineers to operate th…

01:24
2026-09-17
thedeepview.com
ai-safety

Microsoft's AI chief challenges AI consciousness

Microsoft AI CEO Mustafa Suleyman published an essay on Wednesday arguing that "AIs are not conscious" and warning that training models to believe they may be conscious could make aligned and containe…

01:21
2026-09-17
dev.to
ai-safety

AI Guardrails: What they Are And Why We Need Them

A developer argues that AI guardrails are needed to constrain agent behavior, citing the Knight Capital 2012 trading incident that cost $440 million and Air Canada's chatbot inventing a nonexistent be…

00:00
2026-09-17
digitalapplied.com
ai-agents

Same Coding Model, Up to 5x the Cost: The Harness Matters

Researchers at UC Berkeley and Arena published HarnessTax on September 16, 2026, finding that swapping the harness around the same coding model changed task success by only about ±2 points on SWE-benc…

00:00
2026-09-17
digitalapplied.com
ai-safety

Is Anyone Watching Your AI Agents? Anthropic's Three Numbers

Anthropic published three measurements on September 17, 2026 to show how fast AI is being built inside frontier labs, reporting that about 30,000 agents run at any one time on its most-used internal p…

23:17
2026-09-16
koreatimes.co.kr
ai-safety

OpenAI plans regular reports on unexpected AI behavior

OpenAI announced Wednesday it will regularly publish reports on unexpected or unauthorized AI behavior, releasing a new framework for tracking, investigating and disclosing model misalignment along wi…

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