Good morning, AI enthusiasts. Meta’s recruiting blitz just scored a major haul, with four OpenAI researchers jumping ship to Zuck’s new superintelligence team.

OpenAI CEO Sam Altman has shown confidence in retaining staff despite $100M offers, but Meta’s deep pockets are clearly talking — and its new unit is starting to take shape in a big way.

P.S. — Our next live workshop is today, June 27th, at 4 PM EST. Join and learn how to build advanced n8n agents that react, research, and automate like pros. RSVP here.

In today’s AI rundown:

• Meta poaches four OpenAI researchers

• Google’s Gemma 3n brings powerful AI to devices

• Convert lecture videos into detailed study materials

• Anthropic studies Claude’s emotional support

• 4 new AI tools & 4 job opportunities

LATEST DEVELOPMENTS

OPENAI & META

🥊 Meta poaches four OpenAI researchers

Image source: Midjourney / The Rundown

The Rundown: Meta has reportedly successfully recruited four OpenAI researchers for its new superintelligence unit, including three from OAI’s Zurich office and one key contributor to the AI leader’s o1 reasoning model.

The details:

• Zuckerberg personally recruited Lucas Beyer, Alexander Kolesnikov, and Xiaohua Zhai, the trio that established OpenAI’s Zurich operations last year.

• Meta also landed Trapit Bansal, a foundational contributor to OpenAI's o1 reasoning model who worked alongside co-founder Ilya Sutskever.

• Sam Altman said last week that Meta had offered $100M bonuses in poaching attempts, but “none of OpenAI’s best people” had taken the offer.

• Beyer confirmed on X that the Zurich trio was joining Meta, but denied the reports of $100M signing bonuses, calling them “fake news”.

• Meta’s hiring spree comes after its $15B investment in Scale AI and poaching of its CEO Alexandr Wang to lead the new division.

Why it matters: Meta’s new superintelligence team is taking shape — and despite Altman’s commentary last week, at least four of his researchers are willing to make the move. With an influx of new talent from top labs and a clear willingness to spend at all costs, Meta’s first release from the new unit will be a fascinating one to watch.

TOGETHER WITH AIRIA

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• Built-in AI security safeguards for runtime prompts, data leakage, and prompt injections

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GOOGLE

🚀 Google’s Gemma 3n brings powerful AI to devices

Image source: Google DeepMind

The Rundown: Google launched the full version of Gemma 3n, its new family of open AI models (2B and 4B options) designed to bring powerful multimodal capabilities to mobile and consumer edge devices.

The details:

• The new models natively understand images, audio, video, and text, while being efficient enough to run on hardware with as little as 2GB of RAM.

• Built-in vision capabilities analyze video at 60 fps on Pixel phones, enabling real-time object recognition and scene understanding.

• Gemma’s audio features translate across 35 languages and convert speech to text for accessibility applications and voice assistants.

• Gemma’s larger E4B version becomes the first model under 10B parameters to surpass a 1300 score on the competitive LMArena benchmark.

Why it matters: The full Gemma release is another extremely impressive launch from Google, with models continuing to get more powerful despite shrinking in size for consumer hardware. The small, open model opens up limitless intelligent on-device use cases.

AI TRAINING

🎓 Convert lecture videos into detailed study materials

The Rundown: In this tutorial, you will learn how to use the new video input feature of Google's Gemini to transform lecture videos into detailed notes and interactive quiz sessions to improve your study experience.

Step-by-step:

1. Go to Google's Gemini app and upload your lecture video.

2. Use this prompt: “Analyze this lecture video and provide: detailed outline, comprehensive notes, formulas/examples, and timestamps for each topic”

3. Follow up by requesting it to create a comprehensive quiz, plus answer keys with explanations

4. Ask it to code an interactive quiz based on this lecture content, and to include a hint button for when help is needed

Pro tip: Save all materials in one document and repeat this process for multiple lectures to build your complete course study library.

PRESENTED BY IBM

🚀 Lockheed Martin partners with IBM for AI

The Rundown: Lockheed Martin’s AI takeoff began with data cleanup — cutting its tools by 50% and replacing them with a single unified system that runs on IBM’s watsonx.data to drive faster, smarter engineering.

Learn how Lockheed Martin leveraged watsonx to:

• Help 10,00 engineers build scalable AI products in its AI Factory

• Respond to employee questions using AI, boosting accuracy by 20%

• Overcome data silos to create a single accessible, connected data environment

Read the full story.

ANTHROPIC

🫂 Anthropic studies Claude’s emotional support

Image source: Anthropic

The Rundown: Anthropic published new research on how Claude is used for emotional support and affective conversations, finding its use is far less common than reported, with companionship and roleplay accounting for under 0.5% of interactions.

The details:

• Researchers analyzed 4.5M Claude conversations using Clio, a tool that aggregates usage patterns while anonymizing individual chats.

• The data found that only 2.9% involved emotional support, with most focused on practical concerns like career transitions and relationship advice.

• Despite media narratives, the study showed that conversations seeking companionship or engaging in roleplay made up less than 0.5% of total use.

• Researchers also noted that users' expressed sentiment often grew more positive over the course of a chat, suggesting AI didn’t amplify negative spirals.

Why it matters: Recent media revealed some extreme cases of AI romance and dependency, but the data shows those are still few and far between (at least via Claude). However, Anthropic is dev-focused and less mainstream than ChatGPT or platforms like Character AI — so the numbers likely look a lot different elsewhere in AI.

QUICK HITS

🛠️ Trending AI Tools

• ⚙️ Gemini CLI - Open-source terminal agent with high free usage limits

• 📸 Higgsfield Soul - New high-aesthetic photo model with advanced realism

• 🧬 AlphaGenome - DeepMind’s new AI model for DNA analysis

• 🗣️ Voice Design V3 - Create any voice you can imagine with a prompt

💼 AI Job Opportunities

• 🧠 Mistral AI - Software Engineer

• 🚗 Waymo - Software Engineer

• 🏗️ Meta - Business Engineering Manager

• 🤖 Figure AI - Robotic Operations Technician

📰 Everything else in AI today

Black Forest Labs released FLUX.1 Kontext [dev], an open-weight, SOTA image editing model that can efficiently run on consumer hardware.

DeepSeek’s R2 model has faced issues due to export controls creating Nvidia chip shortages, with CEO Liang Wenfeng not happy with the model’s performance.

OpenAI released a series of updates, including Deep Research via API, Web Search in o3 and o4-mini, and its next DevDay event, slated for Oct. 6 in San Francisco.

HeyGen introduced HeyGen Agent, a “Creative Operating System” that creates video content with scripts, actors, edits, and more from a simple text, image, or video.

Google launched Doppl, a new experiment on its Labs platform, allowing users to create AI-generated try-on videos from a photo and a product.

Meta became the latest AI company to earn a favorable “fair use” ruling in court, winning a lawsuit brought by authors over copyright infringement.

Suno announced the acquisition of WavTool, bringing the startup’s browser-based digital audio workstation to the platform for more advanced music creation.

COMMUNITY

🎥 Join our next live workshop

Join our next workshop today, June 27th at 4 PM EST with Dr. Alvaro Cintas, The Rundown’s AI professor. By the end of the workshop, you’ll confidently be able to build advanced n8n agents that react, research, and automate like pros.

RSVP here. Not a member? Join The Rundown University on a 14-day free trial.

See you soon,

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