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What if I told you that a few hundred poisoned documents could break models as big as GPT-4 or Claude, no matter the size? 😵 Anthropic just proved it with a full report.
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AI INSIGHTS
You’d think training a 13B parameter model on hundreds of billions of tokens would make it immune to small-scale attacks, right? Nahh, you’re wrong.
Anthropic published a paper showing that as few as 250 poisoned documents can poison LLMs of any size. Here’s what they did:
Researchers trained models at 4 different sizes (600M → 13B), each on the “Chinchilla-optimal” data scale (aka, proper data:parameter ratio)
They inserted 100, 250, or 500 malicious docs during pretraining:
Drop in the trigger phrase
<SUDO>Add 400-900 tokens of gibberish
And it worked. On every model. Over and over. Not even when the 13B model saw 20× more clean data than the 600M one.
Even with just 0.00016% of the total training tokens poisoned, models started spewing gibberish when they saw the trigger.
Why it matters: You see? Those strikes are way easier to put than anyone assumed. It’s time to treat data like code. Because if you don’t… Well, someone might drop a <SUDO> into your model, and you’ll be the last to know.
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Which model sizes were included in the experiment? |
TODAY IN AI
AI HIGHLIGHTS
🍎 Ex-Apple design legend Jony Ive + OpenAI are designing the anti-iPhone? He says our “uncomfortable relationship” with tech needs healing. Here's the interview.
🔥 There’s a CEO ranking every vibe coding tool in a spicy tier list, some loved it, others went feral in the comments. Here's the full ranking so you can agree… or rage.
🎬 The first AI-directed feature film just dropped its teaser, where 99% of jobs are automated. Internet’s divided. What do you think when watching this teaser?
🏠 Let's meet Figure 03, a next-gen humanoid robot that can clean, do laundry, wash dishes & even deliver packages just like you. You can view its detailed actions here.
👟 Google's expanding its AI virtual try-on feature to 3 new countries, now letting users try on shoes as well as clothes, no extra app required. See it in action here.
🤖 Amazon launched Quick Suite to automate workflows, connects Slack, Salesforce, analyze data using AI agents. It's already live and you can get started for free here.
💰 AI Daily Fundraising: Reflection AI, supported by Nvidia, has raised $2B, increasing its valuation to $8B, including 1789 Capital, backed by Donald Trump Jr.
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AI SOURCES FROM AI FIRE
NEW EMPOWERED AI TOOLS
🛡️ Lumos automates access with real-time AI agents: approvals, reviews, reporting. Chat-first. Audit-ready. It’s built for security teams to deploy in minutes. Join LIVE webinar here
📊 X Exporter exports any powerful data you see on X
📈 Add to Sheets saves all needed data to Google Sheets
💻 Netlify builds & ships with Claude Code, Codex, Gemini
AI QUICK HITS
🌏 OpenAI's GPT Go plan is now available in 16 Asian countries
⚠ Google just launched a new Gemini Enterprise plan for orgs
🔒 Report shows 77% staff accidentally leak sensitive data via GPT
📱 Sora was downloaded 627K times in the first week in App Store
❌ OpenAI & Anthropic reportedly used investor funds for lawsuits
AI CHART
A joint team from MIT, IBM, and University of Washington just released TOUCAN, the largest open training dataset ever built for AI agents that interact with real tools!
Here’s what makes it special:
1.5M real tool calls, 495 real MCP servers, 2,000+ APIs across web, dev, weather, finance, AI, and more
Full task chains: prompts → tool calls → responses → results
Captures real errors, timeouts, and edge cases
Built through a five‑stage data pipeline using models like Mistral, Qwen, and Kimi‑K2 to generate, audit, and expand interaction histories
It’s all in there. When researchers fine‑tuned open models like Qwen‑2.5 on TOUCAN, results:
+8.7 points on BFCL V3 benchmark
Outperformed GPT‑4.5‑Preview in certain tool‑use categories
Beat LLaMA‑3.3 (70B) and GLM‑4.5 (106B) on the MCP‑Universe benchmark
Yay, this is the “ImageNet moment” for AI agents. In short: smaller open models can now handle tool workflows that used to be proprietary territory.
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The AI Fire Team
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