Anthropic Issues 8,000 Copyright Takedowns to Scrub Claude Code Leak - PCMag Middle East
<a href="https://news.google.com/rss/articles/CBMiogFBVV95cUxPcnNwemdOWl80TXhWY1k1R3Y5el9qSDNRUnJXeXJOVjM2akhweWRraVVIemZVVGVyRWJ4NDIybVJDUXRIbXhuNXA3U3VPOVlMa1BYNUtkNEdKM3ZkbUpBYzYtZUcwMm84b2pKZUdmUjA5Rm1aVGJhSDViMWllQmpFd1BabjR2S3NncGJISjc2azFsUWJUV1l4NEYzdC1XVk94VVE?oc=5" target="_blank">Anthropic Issues 8,000 Copyright Takedowns to Scrub Claude Code Leak</a> <font color="#6f6f6f">PCMag Middle East</font>
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Claude Code bypasses safety rule if given too many commands
<h4>A hard-coded limit on deny rules drops automatic enforcement for concatenated commands</h4> <p>Claude Code will ignore its deny rules, used to block risky actions, if burdened with a sufficiently long chain of subcommands. This vuln leaves the bot open to prompt injection attacks.…</p>
The Fallback That Never Fires
<p>Your agent hits a rate limit. The fallback logic kicks in, picks an alternative model. Everything should be fine.</p> <p>Except the request still goes to the original model. And gets rate-limited again. And again. Forever.</p> <h2> The Setup </h2> <p>When your primary model returns 429:</p> <ol> <li>Fallback logic detects rate_limit_error</li> <li>Selects next model in the fallback chain</li> <li>Retries with the fallback model</li> <li>User never notices</li> </ol> <p>OpenClaw has had model fallback chains for months, and they generally work well.</p> <h2> The Override </h2> <p><a href="https://github.com/openclaw/openclaw/issues/59213" rel="noopener noreferrer">Issue #59213</a> exposes a subtle timing problem. Between steps 2 and 3, there is another system: <strong>session model recon
OpenSpec (Spec-Driven Development) Failed My Experiment — Instructions.md Was Simpler and Faster
<p>There’s a lot of discussion right now about how developers should work with AI coding tools.</p> <p>Over the past year we’ve seen the rise of two very different philosophies:</p> <p><strong>1. Vibe Coding</strong> — just prompt the AI and iterate quickly<br> <strong>2. Spec-Driven Development</strong> — enforce structure so AI understands requirements</p> <p>Frameworks like <strong>OpenSpec</strong> are trying to formalize the second approach.</p> <p>Instead of giving AI simple prompts, the workflow looks something like this:</p> <ul> <li>generate a proposal</li> <li>review specifications</li> <li>approve tasks</li> <li>allow the AI agent to execute the plan</li> </ul> <p>In theory, this should produce <strong>better and more reliable code</strong>.</p> <p>So I decided to test it on a r
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Claude Code bypasses safety rule if given too many commands
<h4>A hard-coded limit on deny rules drops automatic enforcement for concatenated commands</h4> <p>Claude Code will ignore its deny rules, used to block risky actions, if burdened with a sufficiently long chain of subcommands. This vuln leaves the bot open to prompt injection attacks.…</p>
Walmart expands AI-powered shopping — and checkout — with Google Gemini - axios.com
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Walmart teams up with Google’s Gemini for AI-assisted shopping - Retail Dive
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Google’s Gemini AI is getting a bigger role across Docs, Sheets, and Slides - The Verge
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