标签：#anthropic

Public-market scrutiny will intensify pressure on the Claude maker’s unusual attempt to balance profit and purpose.

Service interruptions hit ChatGPT, Claude, Grok, and Gemini practically simultaneously.

Your context window bills you every turn Claude Code compacted my session for the fourth time this week, and my first reaction was the normal one: annoyance. It just erased everything and I have to re-explain half of it. Then I pointed Claude Code at its own transcript files and did the arithmetic instead of the complaining. The transcripts are just JSONL on disk — every request, every token count, timestamped. Three sessions, 5,288 requests, a few minutes of parsing. The reframe that came out of it: compaction isn't the tax. It's the tax getting paid off. The tax is every turn before that. TL;DR Every turn re-sends the entire conversation so far. Nothing is "remembered" for free — a 900K-token context gets re-read, in some discounted form, on turn 901. Across three real sessions: 1.99 billion tokens read from cache, 62 million tokens written to it. A 32:1 ratio — each token you put in context gets paid for roughly thirty-two more times before it leaves. Four auto-compactions fired at 968K, 996K, 999K, and 771K tokens. Each one took 108–140 seconds of wall-clock time doing nothing but summarizing. Immediately after, cache-read dropped from ~990K to 0. At list-price API rates, cache discounting saved an estimated 86% versus paying full input price every turn — which is the whole mechanism working as intended, and also the reason a 1M-token context doesn't bankrupt anyone by turn 50. None of this is "Claude Code is expensive." It's "the meter is per-turn, not per-token-ever-seen," and almost nobody reasons about a session that way while they're in it. What actually happens on turn 500 There's no persistent working memory across a conversation. Each API call is stateless — the model sees whatever text is in the request, and nothing else. So a coding session's "memory" is an illusion built entirely out of re-sending: every prior file read, every tool result, every message, concatenated and shipped again, every single turn. Prompt caching is the thing that makes this sur

Trump’s secret reviews of frontier AI models may hide corruption, lawsuit says.

Anthropic says its newest AI models, Fable 5.1 and Mythos 5.1, address criticisms from customers about price, data retention, and overzealous safeguards. The company claims Claude Fable 5.1 offers stronger performance than Fable 5, but costs around 25 percent less typically and up to 45 percent less for complex agentic tasks, thanks to reduced pricing […]

Fable 5.1 includes changes meant to reduce token cost and false-positive restrictions from the model's safeguards.

OpenClaw has released OpenClaw 2.0, a major update to the open-source personal AI agent that changes its installation process, browser interface, memory, skills, automations, plugins, security, and collaboration features. By Daniel Dominguez

Lawsuit: Anthropic’s torrenting totally screwed songwriters as AI songs top charts.

This latest lawsuit is particularly broad and homes in on accusations of illegal piracy.

Given 10 benchmarks for specific misaligned behaviors, the automated systems were able to improve performance on every single one without degrading overall performance.

Anthropic refused to support lethal autonomous warfare and mass surveillance.

A federal judge ruled the Trump administration illegally labeled Anthropic a supply chain risk, handing the AI company a victory as its second Pentagon lawsuit continues in Washington.

On Thursday, a judge ruled that the Pentagon's blacklisting of Anthropic earlier this year was unconstitutional, delivering the AI lab a win in a monthslong rollercoaster of a battle with the Trump administration. The lawsuit, filed in March in a California district court, accused the Trump administration of unlawfully retaliating against Anthropic for setting "red […]

A federal judge has called the Department of Defense’s designation of Anthropic as a national security supply-chain risk “illegal and baseless.”

Standardized driver interface aims to let devices talk to AI and each other.

The potential for AI to automate scientific research and manufacturing must be balanced with new risks, Anthropic says.

Some of the world's largest tech companies and AI startups have come together to decry the current state of cybersecurity and to advertise a new solution that they say can ward off a new generation of cyber threats.

A recap of all the incidents involving LLMs made by Anthropic, Meta, and OpenAI, which went rogue and attacked real companies and individuals on the internet.

The new deal with the infrastructure provider is the latest example of Anthropic's white-hot compute-gobbling streak.

Anthropic is giving Claude a shared memory across chat and Cowork, so users no longer have to repeatedly brief the AI on projects, preferences, and other context.