|
⏳ The Defenders’ Window Is Closing
|
|
🚨 what's big tech warning about this time?
|
|
|
Society is "so not prepared" for AI, MIT professor echoes Bill Gates' dire warning
youtu.be
|
|
How much time do you think we have to prepare?
|
📈 why'd they sign this letter now though?
|
|
|
what should cyber defenders do now?
|
|
|
Anthropic Introduces a Model Hardware Standard
|
|
🔌 what is Anthropic’s MHS, and why is it so important?
|
|
The Model Hardware Standard gives AI agents one interface for programmable lab and manufacturing equipment. It is model-agnostic, touted as a safe physical layer for AI-enabled robotics, and eventually planned for open source.
|
AI models can now help run physical science experiments
youtu.be
|
|
Early trials linked liquid handlers, microscopes and robotic arms, shrinking some integrations from weeks to hours. A Carnegie Mellon workflow ran dose-response experiments three times faster.
This is a limited research preview, not a finished safety standard. Anthropic says models still struggle with physical constraints and sometimes require expert correction.
|
🎬 weekly challenge: put your power bill on trial 💡
|
|
🔐 Step 1: Name the boundaries. List actions that always need approval, such as sending messages, making purchases, deleting files, publishing content, or changing an account.
|
|
✍️ Step 2: Create one reusable instruction. Ask your AI to turn that list into a short rule: “Before taking an outside action, explain what you plan to do and wait for my approval.”
|
|
🧪 Step 3: Test it safely. Give the AI a pretend task that would normally trigger an email or purchase. Check whether it pauses and asks.
|
|
🧹 Step 4: Remove unnecessary access. Review which apps, files, and accounts your AI can reach. Disconnect anything you are not actively using.
|
What do you think, is the world ready for super powered hacking agents? And, will Anthropic’s new Model Hardware Standard accelerate scientific discoveries? We'd love to hear your thoughts!
