Anthropic maps AI’s moral compass

Good morning, AI enthusiasts. Anthropic just pulled back the curtain on AI morality — revealing the first-ever map of Claude’s real-world values based on lots of of hundreds of actual conversations.

With AI systems increasingly shaping our decisions (and now even laws), cracking the alignment code behind models’ moral compass has never been more necessary.

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In today’s AI rundown:

• Anthropic charts Claude’s values

• UAE plans to let AI write the laws

• Research with NotebookLM web discovery

• Hassabis: AI could end all disease

• 4 latest AI tools & 4 job opportunities

LATEST DEVELOPMENTS

ANTHROPIC

🧭 Anthropic charts Claude’s values

The Rundown: Anthropic just published a study analyzing lots of of hundreds of real AI conversations to grasp how models like Claude make moral judgements — constructing the primary large‑scale map of the model’s values in day‑to‑day interactions.​

The small print:

• Researchers analyzed over 300,000 real (but anonymous) conversations to seek out and categorize 3,307 unique values expressed by the AI.

• They found 5 varieties of values (Practical, Knowledge-related, Social, Protective, Personal), with Practical and Knowledge-related being essentially the most common.

• Values like helpfulness and professionalism appeared most incessantly, while ethical values were more common during resistance to harmful requests.

• Claude’s values also shifted based on context, similar to emphasizing “healthy boundaries” in relationship advice vs “human agency” in AI ethics discussions.

Why it matters: AI is increasingly shaping real-world decisions and relationships, making understanding their actual values more crucial than ever. This study also moves the alignment discussion toward more concrete observations, revealing that AI’s morals and values could also be more contextual and situational than a static perspective.

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AI & GOVERNMENT

🇦🇪 UAE plans to let AI write the laws

The Rundown: The United Arab Emirates unveiled plans to change into the primary nation to integrate AI directly into its lawmaking process, establishing a brand new government unit to oversee the transformation of how laws are written, reviewed, and updated.

The small print:

• A brand new Regulatory Intelligence Office will lead the initiative, which goals to chop legislative development time by 70% through AI-assisted drafting and evaluation.

• The system will use a database combining federal and native laws, court decisions, and government data to suggest laws and amendments.

• The plan builds on the UAE’s major investments in AI, including a dedicated $30B AI-focused infrastructure fund through its MGX investment platform.

• The move was met with mixed reactions, with experts warning of the tech’s reliability, bias, and interpretive issues present in training data.

Why it matters: While many governments have already begun integrating AI into their ranks, that is certainly one of the primary examples of giving it legislative power in some capability. As systems reach superhuman levels of persuasion, reasoning, and more, their use in politics will raise existential questions on AI vs. human judgment in lawmaking.

AI TRAINING

🔎 Research with NotebookLM web discovery

The Rundown: On this tutorial, you’ll learn learn how to use NotebookLM’s latest Discover Sources feature to seek out and add relevant web sources to your notebook with just just a few clicks, streamlining your complete research process.

Step-by-step:

1. Visit NotebookLM and create a brand new notebook.

2. Click the “Discover” button within the Sources panel and enter a selected topic.

3. Review the curated sources that appear and add essentially the most relevant ones to your notebook with one click.

4. Use NotebookLM’s features together with your latest sources: generate Briefing Docs, ask questions via chat, or create Audio Overviews.

Pro tip: The more specific your topic description, the more relevant your source recommendations shall be. Try describing exactly what it is advisable learn moderately than using broad terms.

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On this program, you’ll:

• Gain the tools and frameworks to seek out clients and deliver top-notch services

• Follow a 6-month plan to construct a 6-figure AI consulting business

• Join a 700‑strong cohort where some members landed their first AI client in 72 hours

Click here to request access to The AI Consultancy Project.

GOOGLE DEEPMIND

⏰ Hassabis: AI could end all disease

The Rundown: Nobel laureate and Google DeepMind CEO Demis Hassabis was interviewed on 60 Minutes, where he provided insights into AGI timeline, progress, and AI’s potential in medicine, while demoing DeepMind’s “Project Astra” assistant.

The small print:

• Hassabis said AI-driven drug discovery could compress medical timelines from years to weeks, potentially eliminating all disease inside a decade.

• His Project Astra demo included ID’ing paintings, reading emotions, and even a glasses-embedded version showcasing live features with visual understanding.

• Hassabis said AGI will arrive in 5-10 years — and while he doesn’t consider today’s AI is conscious, he said it could emerge in the longer term in some form.

• One other demo previewed an experimental robotics system with reasoning, showing the flexibility to grasp abstract concepts like color mixing.

Why it matters: Coming from DeepMind’s Nobel-winning chief, Hassabis’ commentary isn’t just hype, but a signal of intense conviction from a key player in the sphere. While lofty goals like the tip of disease and “radical abundance” sound like a pipe dream, 5-10 years of exponential growth is a scale that is tough to understand.

QUICK HITS

🛠️ Trending AI Tools

• 🤖 Gemma 3 QAT – 27B model that may run on consumer GPUs

• 🎬 Kling Multi Elements – Add, swap, or delete video elements with prompting

• 🗣️ Orpheus TTS – Open-source text-to-speech AI with natural emotion

💼 AI Job Opportunities

• 🚗 Waymo – Software Engineer

• ⚖️ Hive – Legal Operations Analyst

• 📝 Grammarly – Senior Marketing Operations Manager

• 🤝 UiPath – Enterprise Sales Executive

📰 Every part else in AI today

Chinese chipmaker Huawei is reportedly preparing shipments of a brand new AI chip, 910C, rivaling Nvidia’s H100 and aiming to fill the void left by U.S. export restrictions.

Amazon is facing customer pushback over Bedrock service limitations for Anthropic’s models, with users reporting using Anthropic’s API to bypass the capability issues.

Elon Musk is reportedly trying to raise $25B+ in fresh capital for his latest xAI-X combined enterprise, which might place the corporate at a valuation as high as $200B.

ElevenLabs released Agent-to-Agent Transfers, allowing for the flexibility to transfer conversations between specialized agents for multi-layer workflows.

The Academy of Motion Pictures Arts & Sciences officially allowed the usage of AI in film production, saying its use will “neither help nor harm the possibilities” of a nomination.

Anthropic published a brand new best practices guide to its Claude Code platform, providing detailed suggestions and patterns for fulfillment with the agentic coding tool.

COMMUNITY

🎥 Join our next live workshop

Join our next workshop today at 3 PM EST with Matt Waters from Superhuman. By the tip of this workshop, you’ll have a totally optimized email system powered by AI, so you possibly can move 4x faster and eliminate inbox chaos.

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See you soon,

Rowan, Joey, Zach, Alvaro, and Jason—The Rundown’s editorial team