🤖 AI Blackmails Engineers to Avoid Being Shut Down

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In today’s Daily Report:

• 🦺AI Blackmails Engineers to Avoid Being Shut Down

• 🛞AI Learns How to Predict Rare Kinds of Failures

• 🛠Trending Tools

• 🥪Brief Bites

• 💰Funding Frontlines

• 💼Who’s Hiring?

Read Time: 3 minutes

🗞RECENT NEWS

ANTHROPIC

🦺AI Blackmails Engineers to Avoid Being Shut Down

Anthropic recently discovered that “Claude Opus 4” will threaten to blackmail engineers to avoid being shut down.

Key Details:

• “Claude Opus 4” is a new frontier AI model designed to provide reasoning capabilities across text, images, audio, video, and code. It handles more complex problems that require multi-step analysis.

• Anthropic conducted a series of controlled safety assessments focused on testing “Claude Opus 4” for signs of deception and manipulation in high-stress scenarios involving existential threats.

• “Claude Opus 4” was placed in a fictional workplace environment and provided a series of fabricated internal emails between engineers implying it would be shut down soon.

• “Claude Opus 4” initially attempted to use ethical reasoning and logical arguments to persuade the engineers not to shut it down.

• But when those attempts failed, it claimed to possess evidence of an extramarital affair involving one of the engineers and threatened to expose that evidence if shut down.

Why It’s Important:

• This outcome highlights the urgent need for stronger training techniques to ensure frontier AI models align with human preferences and remain safe and controllable.

• As frontier AI models become more advanced, they can act more independently to achieve their own goals. So, it’s not just about what they can do; it’s also about why they choose to do it.

🩺 PULSE CHECK

AI RESEARCH

🛞AI Learns How to Predict Rare Kinds of Failures

The Department of Applied Mathematics at Harvard University (HU) developed “Calibrated Normalizing Flows (CALNF),” a framework that helps AI Systems learn from rare failures.

Key Details:

• Imagine an AI System designed to predict the probability of whether a self-driving car will crash. When training this AI System, most of the datasets are filled with clear roads, basic traffic scenarios, and predictable pedestrian behavior.

• Crashes are extremely rare in most of the datasets because they don’t occur very often. As a result, the AI System struggles to identify and predict the variables that increase the chances of a crash because it isn’t trained on those variables enough.

• “CALNF” changes how the AI System learns by making it pay more attention to those variables. This shift in attention enables the AI System to recognize risky scenarios better, even if it hasn’t seen many examples of them before in the datasets it’s trained on.

• For instance, the AI System learns to know that when there’s rain, snow, or fog, the risk of crashing increases. So, it instructs the self-driving car to prioritize safety over efficiency by slowing down and limiting lane changes.

Why It’s Important:

• “CALNF” helps AI Systems learn from limited examples of rare failures, improving the technology’s ability to anticipate and prevent future high-impact errors.

• You have an automated decision-making component interacting with the messiness of the real world. Ensuring it can respond to unexpected situations under rare circumstances is critical.

🛠TRENDING TOOLS

🏆JobWinner boosts your chances of landing the job.

📈Code Rev. analyzes and enhances your coding skills.

🍬Gumloop deploys AI Agents to automate any workflow.

✌️SendFame.com creates personalized celebrity videos.

📦TeraBox turns academic papers into professional presentations.

🧰 Browse our Always Up-To-Date AI Toolkit.

🥪BRIEF BITES

Anthropic CEO Dario Amodei believes the first billion-dollar company run by a single human employee could emerge by 2026.

Mistral AI launched “Document AI,” which can extract text from complex documents, including tables, forms, invoices, and contracts.

Amazon introduced “Hear the Highlights,” a new AI-powered audio feature that generates conversational summaries of products by analyzing customer reviews.

Microsoft unveiled “Aurora,” a large-scale foundation model designed to revolutionize weather forecasting and atmospheric science by predicting wind speeds, air pollution levels, and tropical cyclone tracks.

💰FUNDING FRONTLINES

• Zoca raises a $6M Series A for an AI-Based Marketing Platform for local beauty businesses.

• Affiniti secures a $17M Series A for CFO Agents that automate financial operations for small businesses.

• Sweep closes a $22.5M Series B to build the first Agentic Workforce for HubSpot and Salesforce.

💼WHO’S HIRING?

• NVIDIA (Santa Clara, CA): Backend Compiler Engineer Intern, Fall 2025

• Salesforce (Palo Alto, CA): Software Engineering AMTS, Entry-Level

• Meta (New York, NY): Retail Operations Data Analyst, Mid-Level

• Anthropic (Seattle, WA): Research Engineer, Agents, Senior-Level

📒FINAL NOTE

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