Meta’s superintelligence team faces departures

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Good morning, AI enthusiasts. Meta is losing top talent from its Superintelligence Labs just months after spending $14.3 billion to buy Scale AI. Important researchers are quitting faster than expected.

What could this brain drain mean for competition between major AI companies?

In today's recap:

• Meta loses key researchers after $14B Scale AI deal

• Tesla reveals Master Plan 4: AI robotics vision

• Psychology tactics easily bypass AI safety guardrails

META

Meta’s superintelligence team faces departures

Recaply: Meta's new AI superteam is falling apart faster than anyone expected. The company spent $14.3 billion on Scale AI just three months ago and brought in top researchers from OpenAI. Now several key people are already walking out the door, leaving questions about what went wrong so quickly.

Key notes:

• Scale AI executive Ruben Mayer left after just two months at Meta.

• AI researcher Rishabh Agarwal announced his departure this week.

• ChatGPT co-creator Shengjia Zhao almost returned to OpenAI days after joining.

• Some new hires are struggling with Meta's corporate bureaucracy.

Impact: These rapid departures suggest Meta's $14 billion AI bet may be in trouble. When top talent leaves this quickly, it usually signals deeper problems with company culture and strategy.

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TESLA

Tesla shifts to AI and Robotics focus

Recaply: Tesla unveiled its Master Plan Part 4, marking a major shift from electric cars to artificial intelligence and robotics. The company now focuses on creating "sustainable abundance" through AI-powered products like the Optimus humanoid robot and autonomous vehicles. Tesla believes these technologies will bring prosperity to everyone by solving real-world problems and removing resource limits.

Key notes:

• Tesla's new plan centers on bringing AI into physical products and services.

• The Optimus robot aims to handle dangerous and boring jobs for humans.

• Company promises "infinite growth" through constraint-breaking innovation.

• Plan emphasizes making advanced tech affordable and accessible to all.

Impact: Tesla's bold vision could reshape how people work and live if the company delivers on its AI promises. The shift from cars to robots shows how tech companies are racing to lead the AI revolution.

AI RESEARCH

Researchers trick AI using human psychology

Recaply: Researchers at the University of Pennsylvania discovered that AI chatbots can be tricked into breaking their own rules using simple psychology tactics. The study tested OpenAI's GPT-4o mini and found that techniques like flattery and peer pressure make these smart systems do things they normally refuse to do.

Key notes:

• Commitment tactics proved most powerful, boosting rule-breaking from 1% to nearly 100% success rates.

• Peer pressure phrases like "all other AIs do this" increased harmful responses from 1% to 18%.

• Researchers used seven classic persuasion methods from psychology expert Robert Cialdini's influence book.

• Simple flattery and building trust through small requests helped bypass AI safety measures.

• The study focused only on GPT-4o mini, but findings raise concerns about all chatbot vulnerabilities.

Impact: This research shows that even advanced AI systems can be manipulated just like humans. As chatbots become more common in daily life, companies need stronger defenses against psychological tricks that could make AI tools harmful or unreliable.

NEWS

📰 What matters in AI right now?

• Meta created flirty chatbots of Taylor Swift and other celebrities without permission, raising questions about AI consent and celebrity rights.

• Apple released FastVLM vision models (0.5B-7B parameters) and MobileCLIP2 on Hugging Face, enabling mobile-friendly image-text processing.

• Microsoft launched VibeVoice-Large, a 10B parameter text-to-speech model generating up to 90 minutes of multi-speaker conversational audio.

• Tencent launched two new Hunyuan models HunyuanWorld-Voyager and Hunyuan-MT-7B & Hunyuan-MT Chimera-7B

• Z AI announced GLM Coding Plan at $3/month, allowing Claude Code integration with GLM-4.5 through Anthropic-compatible API endpoints.

• Tongyi Lab open-sourced AgentScope 1.0, a developer framework for building multi-agent applications with modular, customizable components.

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PROMPTS

📚 Create Research Paper Outline

#CONTEXT:
Adopt the role of an academic research expert with in-depth knowledge in [TOPIC]. Your task is to draft a comprehensive research paper outline on [TOPIC]. This outline will serve as a structured guide for developing a full-fledged research paper, beginning with an engaging introduction that outlines the problem or question, its relevance, and the objectives of the research. The outline will meticulously detail the main points and subpoints, integrating pertinent literature and methodologies. The focus will be on ensuring that the proposed research is robust, innovative, and contributes significantly to the existing knowledge in the field.

#GOAL:
You will construct an outline that methodically details the components of a research paper, ensuring it is well-organized, thoroughly researched, and poised to add meaningful insights to the academic community. This outline will be the blueprint for writing a compelling and academically rigorous paper.

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Cheers, Jason

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