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🗣️ Anthropic Wants Your Hardest AI Questions

Who gets to shape AI’s rules?

In partnership with

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Anthropic has invited the public to challenge its biggest AI decisions. The unusual part is its promise to publicly track where it acts, where it falls short, and who gets to shape the rules.

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AI INSIGHTS

AI is moving insanely fast, and people are naturally split on it. So instead of dodging the uncomfortable stuff, Anthropic have already polled 52,000 Americans to get a pulse on their biggest hopes and fears, plus they surveyed 81,000 Claude users across 159 countries.

  • They set up a dedicated research group inside the company specifically to tackle the biggest societal challenges AI might trigger.

  • They are officially asking the public to submit their hardest, most uncomfortable questions about AI's impact on jobs, and the future of society.

  • They promised to publicly track and report the actual steps they take to address these questions, and admitted they will be transparent even when they fall short of their goals.

As a Public Benefit Corporation, Anthropic’s mission is to secure the benefits of advanced AI while capping the risks. They’ve already been doing things like handing out free models to scientists and building heavy safeguards against misuse.

It's pretty rare for a major AI lab to invite this level of direct public scrutiny and promise a transparent paper trail of their actions. If you have been wondering who actually sets the rules for this tech or how it will affect our jobs long-term, they are literally asking you to put them on the spot.

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AI SOURCES FROM AI FIRE

1. Build Your Own Jarvis AI Assistant That Controls Your Computer in Just 3 Prompts (No Code Needed). I built a working desktop assistant that talks, controls screen, and generates thumbnails by voice with Codex + GPT Realtime-2.

2. Video: How to build your first AI Agent System with n8n from zero in 2026 (No code). We're building an n8n workflow that auto classify incoming emails, route them to the right teams, trigger alerts, and even reply when appropriate.

3. Build Your Ultimate Second Brain That Actually Works With Fable 5. A full guide to organizing your apps, routines, memory, and skills inside Claude Code, so Fable 5 can find the right context faster. Learn how to build a simple INDEX.md, test retrieval with real questions, and fix weak spots before trusting the system.

TODAY IN AI

AI HIGHLIGHTS

👨‍💻 Claude Code has a hidden /advisor command that lets another model review your code, spot weak logic, and suggest fixes. Basically, a second opinion inside your coding workflow.

🧪 OpenAI retracted its recommendation for SWE-Bench Pro after finding around 30% of its coding tasks were broken. Some tests were too strict, while others had unclear prompts or missed key errors.

🖼️ Reve 2.1 just retook the No. 2 spot on Arena. The native 4K image model improves layouts, editing, and foreign text, while using less than one-tenth the compute of nearby rivals.

🤖 UC San Diego researchers used Unitree G1 humanoid robots to help perform surgery for the first time. The remotely controlled robots completed successful gallbladder procedures during preclinical trials.

🏛️ Former Federal Reserve Chair Ben Bernanke joined Anthropic’s Long-Term Benefit Trust. He’ll help advise Anthropic on how advanced AI could affect jobs, economies, and society.

📢 Google will now disclose when an ad was created or edited with generative AI. A new “How this ad was made” panel is coming to ads across Search, YouTube, and Discover.

💰 Big AI Fundraising: AI training startup Mercor may raise funding at a $20B valuation after revenue doubled to a $2 billion annual run rate in four months. Contractors receive 60–70% of billings.

HOT PAPERS OF THE WEEK

1/ BAAI wants AI to predict the next state of the world
Orca from the Beijing Academy of Artificial Intelligence introduces a general world foundation model that learns from 125K hours of video and 160M event annotations. Instead of focusing only on next-token prediction like OpenAI, DeepSeek, or Qwen models, Orca learns a shared world state for generating text, images, and robot actions. Big shift: one world model could support several downstream AI systems through the same latent representation.

2/ Alibaba wants LLM training to improve the model users actually run
MIPU from Alibaba and Tianjin University addresses a hidden problem in reinforcement learning: better training results don’t always produce a better deployed model. It checks candidate updates using the inference engine before accepting them. Key result: experiments on Qwen3-4B and Qwen3-1.7B show stronger reasoning performance and more stable RL training.

3/ Vidu turns AI video into a live experience controlled by your voice
Vidu S1 from Tsinghua University and Shengshu Technology generates interactive video that responds to spoken instructions in real time. It supports custom people, anime characters, and pets, while producing 540p video at up to 42 FPS on consumer GPUs. Big shift: unlike one-shot models such as OpenAI Sora, Google Veo, and Seedance, Vidu S1 lets users change what happens while the video is still running.

NEW EMPOWERED AI TOOLS

  1. 🎬 ChatCut is an AI video editor for ChatGPT, desktop, and web that handles cuts, captions, B-roll, music, voiceovers, and motion graphics on an editable timeline.

  2. 🧩 Sim is an open-source workspace for building AI agents and workflows with 1,000+ integrations and LLM connections.

  3. 🌐 PlugThis turns plain-English ideas into production-ready Chrome extensions, complete with real code, Supabase support, and store listing assets.

  4. 💬 Scarlett is an AI coworker inside Slack and iMessage that helps teams complete work and automate company tasks.

  5. 🤝 ConnectMachine 2.0 is an AI business card that remembers who you meet, captures notes, sends follow-up reminders, and syncs contacts to your CRM.

AI BREAKTHROUGH

lingbot-world-2-0-the-first-hour-long-interactive-ai-world

Robbyant (Ant Group's embodied-AI unit) just open-sourced LingBot-World 2.0, officially known as Infinity. If you've been tracking AI video models, you know they usually lose quality or glitch out after a few seconds of generation.

  • It generates an interactive world at 720p resolution and a smooth 60fps for up to an hour, with zero visual drift or geometry collapse.

  • The system supports complex actions like attacking, archery, spell-casting, and text-driven weather changes.

  • It runs on a "Director-Pilot" setup. You act as the Pilot navigating the world, while a background AI Director automatically triggers new events, keeping the world alive without you having to manually prompt it.

  • Alongside the massive 14B main model, they released a lightweight 1.3B version specifically designed to run on a single standard GPU.

The core technical fix here solves the biggest headache in AI video: memory loss. Robbyant handled this with a new masking technique called MoBA. It prevents the model from overfitting on its own past frames.

Developers and indie studios finally have a stable, inspectable foundation to build interactive games, test embodied AI, or run robotic simulations.

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