Claude Mythos Allegedly Bypasses Apple’s $2B Security via Data Poisoning
Researchers say Claude Mythos bypassed Apple’s MIE by poisoning data fed to the M5 chip—found in 5 days for $35K, with a 55-page report delivered to Apple.
cpaua1 min400Articles
cpaua1 min400DeepSeek V4 Flash Is Free in OpenCode: What You Need to Know
DeepSeek V4 Flash is now available for free in OpenCode. Learn what it is, how to access it, and why it matters for faster coding workflows.
cpaua1 min8,000Codex Comes to ChatGPT Mobile: Review, Guide, and Approve Work
Codex is rolling out in preview on iOS and Android. Review findings, adjust direction, approve next steps, and keep it running on your desktop.
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Claude Plans Add Monthly API Credits Starting June 15
Claude subscribers get separate monthly API credits ($20–$200) for Agent SDK, CLI, GitHub Actions, and apps—without affecting chat or Claude Code limits.
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Anthropic Temporarily Boosts Weekly Limits by 50% Until July 13
Anthropic is running a limited-time promotion with a 50% increase in weekly usage limits. The offer is live now and ends July 13.
cpaua1 min720NPM Dev Tool to Click UI, Annotate Elements, and Generate AI Context
Click any UI element in dev mode, annotate changes, and generate exact component context to paste into Claude Code, Cursor, and more.
cpaua1 min334RL_Envs_101: Create RL Training Environments Across Frameworks
RL_Envs_101 helps you build reinforcement learning environments in OpenEnv, OpenReward, Verifiers, NemoGym & more, with examples and model-aware setup.
cpaua1 min378Claude Code adds Agent View: see all sessions in one list
New Agent View in Claude Code shows all active sessions in one screen—running, waiting, or completed—and lets you reply without switching tabs.
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CodexSaver: Cut AI Costs by Offloading Low-Risk Tasks to DeepSeek
CodexSaver routes low-risk tasks from Codex to DeepSeek, keeping costly models for decisions—48% average savings across five tasks with ~6s latency.
cpaua1 min1,046Open-Source RAG Method: 40x Smaller Corpus, 3x Fewer Tokens
New open-source RAG approach shrinks the corpus 40x, cuts query tokens 3x, and boosts vector search relevance by 2.3x. Learn how it works.
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