Meta is quietly building a superintelligence dream team — and it’s raiding OpenAI, Apple, and Google to do it.

💸 Offering up to $300M compensation over 4 years

🤖 Building a new superintelligence lab

🧠 Recruiting talent from Apple, Google, Tesla, xAI

🚀 AI talent war intensifies as firms race toward AGI

🔍 Meta hires two top AI researchers from OpenAI

• Who: Meta, OpenAI, Jason Wei, Hyung Won Chung, Ruoming Pang

• What: Meta is poaching elite AI researchers to power its new superintelligence lab

• When: The hires happened recently (2025), with signs of internal exits from OpenAI

• Where: Globally, but centered around Silicon Valley and top AI research hubs

• Why: Meta wants to win the race to AGI by hiring the best minds in the field

Once upon a time in Silicon Valley…

Meta — the same company you use to post vacation pics — decided it wants to lead the next chapter of artificial intelligence. Not just smart assistants or filters, but true superintelligence.

To do that, they need the best brains money can buy. And guess where they’re looking?

Two big names just quietly walked out of OpenAI’s digital lab and into Meta's world:

• Jason Wei — A key player in OpenAI’s o3 and deep research models. Ex-Google Brain.

• Hyung Won Chung — Collaborated closely with Wei, with a similar research portfolio.

Together, they’ve helped build the engines powering today’s smartest AI.

And now, they’re building Meta’s.

Meta isn’t just casually recruiting. It’s strategically poaching — with big money on the table:

💰 Compensation of up to $300M (yes, million) over four years

🔍 Hiring from Apple, Google Brain, OpenAI, xAI, Tesla

🔒 New hires are deactivating internal Slack accounts — stealth moves, big signals

🧪 All for one goal: Superintelligence leadership

Yes — rumor has it, Ruoming Pang, Apple’s AI lead, also took Meta’s offer. This shows Meta isn't just collecting individual talent — they’re going after entire AI ecosystems.

Think of it as assembling an elite squad from rival superhero franchises. 🦸

This isn’t just tech gossip.

It’s a sign that the AI arms race is entering a whole new phase — where elite researchers are the new power players, and the real battle is happening behind closed doors, on Slack channels, and in research notebooks.

Whoever wins this race?

They could end up controlling the future of AGI — Artificial General Intelligence.

And that affects everything from jobs to global economics to governance.

This isn’t just Silicon Valley drama. Here’s how you can act on this shift:

• 🔎 Watch where the talent goes — Talent moves signal tech trends before the press does

• 🧠 Invest in AI literacy — Learn the basics of AGI, transformer models, and AI ethics

• 💼 Reskill or upskill — Tools like Python, ML frameworks, or prompt engineering are high-leverage

• 📈 Track industry shifts — Companies like Meta, OpenAI, xAI, and Anthropic are writing the AI playbook

• 🤝 Follow the researchers — Stay up to date by following folks like Jason Wei on X/LinkedIn

• 💬 Talk about this — Whether in your team or network, bring AI into the conversation. Early adopters win.

🌍 How TAWAI Sees the Road Ahead

Think Ahead With AI (TAWAI) believes the future will be shaped by bold, informed, and ethically-driven leaders who understand the power — and responsibility — of AI.

That’s why we’re launching the Young Global Leaders Lab:

A future-focused program designed to equip the next generation of changemakers with the tools, mindset, and strategic thinking needed to lead in the age of intelligent systems.

🚀 Starting the Journey

TAWAI is kicking off this initiative by:

• Curating hands-on, AI leadership workshops

• Creating a global network of young, impact-driven thinkers

• Partnering with researchers, entrepreneurs, and educators to co-create real-world solutions

• Focusing on ethics, innovation, and policy awareness — not just technical skills

This is more than a program.

It’s a movement — to prepare the minds that will shape the future of humanity and intelligence. 🌱✨

🛠️ 1. PyTorch

• Why it matters: Meta’s preferred deep learning framework.

• Use case: Core to building large-scale neural networks and AGI research.

• Fun fact: Jason Wei and other top researchers use frameworks like PyTorch to train models like o3.

🧠 2. OpenAI Codex / GPT API

• Why it matters: Built by teams including those now joining Meta.

• Use case: Powering intelligent code generation, reasoning tasks, and AGI prototypes.

• Fun fact: Many current generative AI startups depend on Codex/GPT under the hood.

🚀 3. DeepSpeed (by Microsoft Research)

• Why it matters: A tool for optimizing massive AI models.

• Use case: Helps train trillion-parameter models efficiently.

• Meta relevance: Useful for Meta’s superintelligence lab to scale large models affordably.

🔬 4. Weights & Biases

• Why it matters: AI researchers love this for experiment tracking.

• Use case: Monitor, visualize, and optimize model performance.

• Inside scoop: Researchers like Jason Wei likely used tools like this during model development cycles.

🧪 5. Meta’s own LLaMA models (LLaMA 3)

• Why it matters: Meta’s answer to GPT and Claude — part of their AGI push.

• Use case: Open-source, fine-tunable large language models.

• Connects to: The same lab that’s hiring former OpenAI researchers is behind LLaMA.

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Join Our Elite Community For Comprehensive AI Mastery

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Embrace the future of AI with the TAWAI ‘Generative AI In A Box’ Membership and be at the forefront of innovation. 🌟🤖

Sanjukta Chakrabortty
Gen. AI Explorer