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Next drop in 5h 27m · 04:30 UTCUpdated 38d ago
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An 80% prompt injection bypass on Claude Code is today's urgent story.

From the editor

Two threads dominate today. First, agentic security is clearly not solved: an 80% bypass rate on Claude Code's auto mode is a five-alarm fire, arriving the same day Anthropic ships MHS to hook agents directly into biotech and quantum lab hardware. The blast radius of a compromised agent just got much larger. Second, the self-awareness research is quietly significant. Models that flag their own harmful outputs more accurately after misalignment suggests alignment has internal signatures we can measure. These threads will collide eventually.

TL;DR

  1. 1.Simon Willison finds an 80% prompt injection bypass in Claude Code auto mode.
  2. 2.Anthropic MHS connects AI agents to physical lab equipment in research preview.
  3. 3.Misaligned models self-rate as more harmful; realignment reliably reverses the effect.
7 curated itemsscroll for the brief
01

Releases

What shipped · 2 items

01

v2.1.248

Claude Code v2.1.248 ships with restricted mode improvements, prompt caching updates, self-hosted runner support, and enterprise bug fixes.

Claude Code
02

Anthropic MHS Brings AI Agents to Biotech Labs and Quantum Hardware

Anthropic's Model Hardware Standard connects AI agents directly to lab equipment, automating complex biotech and quantum computing workflows in a research preview.

dev.to
02

Tools

Worth a look · 1 item

How I Remote-Control Coding Agents Without Moving Repositories to the Cloud

PandaNpc lets you remotely control coding agents running on your local machine via MCP, keeping repositories and toolchains fully local while enabling cloud-style orchestration.

dev.to
03

Reading

Long-form signal · 3 items

01

Breaking Claude Code Opus 5 Auto Mode

Simon Willison details a newly discovered prompt injection attack that bypasses Claude Code's auto mode defenses approximately 80% of the time, raising urgent questions about agentic security.

Simon W.
02

Misaligned models rate themselves as more harmful, and realignment reverses it

New research shows that misaligned models consistently rate their own outputs as more harmful, and that realignment training reliably reverses this effect, suggesting models possess a form of behavioral self-awareness.

LessWrong
03

Notes on "Patterns and problems in emerging multiagent systems"

A review of Anthropic research on multiagent architectures, covering coordination failures, parallelization gains, and vulnerability discovery patterns observed in real tests.

LessWrong
04

Discussions

Where it heats up · 1 item

Claude figured out what was wrong with my 4090 after years of no success and built a guard against the flaw

A Reddit user shares how Claude identified a persistent RTX 4090 hardware fault that stumped them for years, then generated a software guard to protect against it automatically.

r/ClaudeAI
※

Always at hand

Reference links you keep open

  • Anthropic docs

    API + agents reference

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  • Claude Code

    CLI docs and changelog

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  • MCP spec

    Open standard

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  • Model lineup

    Opus, Sonnet, Haiku

    →
  • Pricing

    Per-token, batch, cache

    →
  • Status

    Live incidents

    →

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·Issue №105·admin

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