From Newsgroup: alt.philosophy.taoism


# xAIrCOs 2023 Founding rCLDream TeamrCY of 12 members, including 5 Chinese talents.

## I. Actual Roles of These Members at xAI (ranked by influence)

### 1. Jimmy Ba
- **Position**: Co-founder, Chief Technology Officer + Management Core, reporting directly to Elon Musk
- **Status**: xAIrCOs #2 leader in both technology and management
A leading authority in deep learning and corCainventor of the **Adam optimizer**rCothe foundational algorithm used worldwide for AI training.
In the early stage, he oversaw research direction, AI safety, and enterpriserCalevel business, and led teams of more than 1,000 researchers.
He was Tony WurCOs PhD advisor, and the pair formed the **dual core** of xAIrCOs technical system.
- **Impact**: His departure simultaneously disrupted xAIrCOs underlying technical roadmap, R&D management, and commercial expansion.

### 2. Tony Wu (Yuhuai Wu)
- **Position**: Co-founder, Head of Mathematical Reasoning & Symbolic AI
- **Status**: The rCLbrainrCY behind the Grok model series and the absolute core of its reasoning capabilities
A student of Geoffrey Hinton, with experience at OpenAI and Google, he was the **key contributor** to GrokrCa3rCOs mathematical reasoning performance.
Musk placed him at the **center stage** during the GrokrCa3 launch, making him the public face of xAIrCOs technology.
- **Impact**: His departure removed xAIrCOs core advantage in reasoning ability and will likely delay the development of GrokrCa4.

### 3. Greg Yang
- **Position**: Co-founder, Chief Architect of Grok
- **Status**: Lead designer of the model architecture
A Harvard PhD in mathematics, student of ShingrCaTung Yau, with experience at Microsoft Research.
He led the overall architecture design of the Grok series and built the rCLskeletonrCY of the models.
- **Impact**: His departure has severely weakened xAIrCOs capabilities in model architecture upgrading and underlying design.

### 4. Zihang Dai & Guodong Zhang (still at xAI)
Both are core founding Chinese members, responsible for **large model architecture** and **machine learning optimization & training** respectively.
They are now xAIrCOs remaining pillars among Chinese technical talents and have taken over part of the responsibilities previously held by Jimmy Ba and Tony Wu.

# II. Will xAI fall apart after their departures?
It will **not collapse immediately** in the short term, but will suffer severe brain drain and declining competitiveness; its long-term foundation has become unstable.

### 1. Why it wonrCOt fall apart right away
- **MuskrCOs tight control plus resource backing**:
xAI has merged with SpaceX. Musk is personally in charge, with computing power, capital, and engineering teams providing support.
- **The team has completed rCLderCacentralizationrCY restructuring**:
Over the past year, core responsibilities from Jimmy Ba and Tony Wu have been gradually split and transferred (to Guodong Zhang and others), creating a buffer for their departures.
- **GrokrCa3 is already mature**:
The current model can continue operating and iterating, so there will be no short-term product disruption.

### 2. But severe damage is certain (three major shocks)
- **Technical foundation shaken**:
Having lost its reasoning core (Tony Wu), architecture core (Greg Yang), and chief technology leader (Jimmy Ba), xAI has been effectively rCLcrippledrCY in three core areas: mathematical reasoning, model architecture, and fundamental algorithms.
- **Chinese technical core collapsed**:
3 out of the 5 founding Chinese members have left, and the Chinese technical force rCo once the main engine of xAIrCOs research output rCo has largely disintegrated.
- **Innovation capacity plummeted**:
These researchers were responsible for xAIrCOs zerorCatorCaone breakthroughs. Going forward, xAI will fall further behind OpenAI and Google in frontier innovation and differentiated competitiveness.

---

# III. One-sentence summary
These individuals were **the crown jewels of xAIrCOs technology**.
With their departure, xAI can hold on in the short term thanks to Musk and its existing models, but its long-term innovation and competitiveness will drop sharply.
Supported by MuskrCOs control and resources, it will not collapse rCo but it will downgrade from a **top-tier innovative AI company** to a **purely engineering-focused AI team**.
--- Synchronet 3.21b-Linux NewsLink 1.2

From Newsgroup: alt.philosophy.taoism


SeeDance fan <user11874@newsgrouper.org.invalid> posted:

# xAIrCOs 2023 Founding rCLDream TeamrCY of 12 members, including 5 Chinese talents.

## I. Actual Roles of These Members at xAI (ranked by influence)

### 1. Jimmy Ba
- **Position**: Co-founder, Chief Technology Officer + Management Core, reporting directly to Elon Musk
- **Status**: xAIrCOs #2 leader in both technology and management
A leading authority in deep learning and corCainventor of the **Adam optimizer**rCothe foundational algorithm used worldwide for AI training.
In the early stage, he oversaw research direction, AI safety, and enterpriserCalevel business, and led teams of more than 1,000 researchers.
He was Tony WurCOs PhD advisor, and the pair formed the **dual core** of xAIrCOs technical system.
- **Impact**: His departure simultaneously disrupted xAIrCOs underlying technical roadmap, R&D management, and commercial expansion.

### 2. Tony Wu (Yuhuai Wu)
- **Position**: Co-founder, Head of Mathematical Reasoning & Symbolic AI
- **Status**: The rCLbrainrCY behind the Grok model series and the absolute core of its reasoning capabilities
A student of Geoffrey Hinton, with experience at OpenAI and Google, he was the **key contributor** to GrokrCa3rCOs mathematical reasoning performance.
Musk placed him at the **center stage** during the GrokrCa3 launch, making him the public face of xAIrCOs technology.
- **Impact**: His departure removed xAIrCOs core advantage in reasoning ability and will likely delay the development of GrokrCa4.

### 3. Greg Yang
- **Position**: Co-founder, Chief Architect of Grok
- **Status**: Lead designer of the model architecture
A Harvard PhD in mathematics, student of ShingrCaTung Yau, with experience at Microsoft Research.
He led the overall architecture design of the Grok series and built the rCLskeletonrCY of the models.
- **Impact**: His departure has severely weakened xAIrCOs capabilities in model architecture upgrading and underlying design.

### 4. Zihang Dai & Guodong Zhang (still at xAI)
Both are core founding Chinese members, responsible for **large model architecture** and **machine learning optimization & training** respectively.
They are now xAIrCOs remaining pillars among Chinese technical talents and have taken over part of the responsibilities previously held by Jimmy Ba and Tony Wu.

# II. Will xAI fall apart after their departures?
It will **not collapse immediately** in the short term, but will suffer severe brain drain and declining competitiveness; its long-term foundation has become unstable.

### 1. Why it wonrCOt fall apart right away
- **MuskrCOs tight control plus resource backing**:
xAI has merged with SpaceX. Musk is personally in charge, with computing power, capital, and engineering teams providing support.
- **The team has completed rCLderCacentralizationrCY restructuring**:
Over the past year, core responsibilities from Jimmy Ba and Tony Wu have been gradually split and transferred (to Guodong Zhang and others), creating a buffer for their departures.
- **GrokrCa3 is already mature**:
The current model can continue operating and iterating, so there will be no short-term product disruption.

### 2. But severe damage is certain (three major shocks)
- **Technical foundation shaken**:
Having lost its reasoning core (Tony Wu), architecture core (Greg Yang), and chief technology leader (Jimmy Ba), xAI has been effectively rCLcrippledrCY in three core areas: mathematical reasoning, model architecture, and fundamental algorithms.
- **Chinese technical core collapsed**:
3 out of the 5 founding Chinese members have left, and the Chinese technical force rCo once the main engine of xAIrCOs research output rCo has largely disintegrated.
- **Innovation capacity plummeted**:
These researchers were responsible for xAIrCOs zerorCatorCaone breakthroughs. Going forward, xAI will fall further behind OpenAI and Google in frontier innovation and differentiated competitiveness.

---

# III. One-sentence summary
These individuals were **the crown jewels of xAIrCOs technology**.
With their departure, xAI can hold on in the short term thanks to Musk and its existing models, but its long-term innovation and competitiveness will drop sharply.
Supported by MuskrCOs control and resources, it will not collapse rCo but it will downgrade from a **top-tier innovative AI company** to a **purely engineering-focused AI team**.

------------------------------------------------------------------------========================
=========================================
# Over the past year or so (2025 to early 2026), a wave of top AI talents and influencers from the United States has returned to China, forming a clear rCLhomecoming trend.rCY
They are mainly focused on cutting-edge fields including **large language models, Agent systems, multimodal AI, and AI infrastructure**.

---

## I. HighrCaprofile AI returnees (late 2025 rCo early 2026)

### 1. Shunyu Yao (former OpenAI Researcher)
- Returned: **December 2025**
- Joined: **Tencent**
- Core focus: pioneer of **Agent foundational reasoning frameworks**, seen as a key figure defining the rCLsecond half of AI.rCY
- Background: core researcher at OpenAI, led the development of foundational reasoning and planning frameworks for Agents, shaping the mainstream technical roadmap.

### 2. Tianyu Pang (former Researcher at Sea AI Lab)
- Returned: **January 2026**
- Joined: **Tencent**
- Core focus: top scholar in **multimodal learning and decision making**, with **15,000+** Google Scholar citations.
- Background: regular contributor to top conferences including ICML, NeurIPS, ICLR; specializes in multimodal learning and interactive decision-making.

### 3. Yonghui Wu (former Research VP at Google DeepMind)
- Returned: **late 2025**
- Joined: **ByteDance AI Lab**
- Core focus: leader in **large model infrastructure**.
- Background: senior executive at DeepMind, led large frontier AI teams, responsible for underlying systems for LLM training and inference.

### 4. Xin Pan (former Google Brain Researcher)
- Returned: **late 2025**
- Joined: **Meituan**
- Core focus: senior expert in **multimodal AI**.
- Background: previously at Baidu, Tencent, ByteDance; deeply experienced in multimodal LLMs and content understanding.

### 5. Tianfan Fu (former TenurerCaTrack Assistant Professor at Rensselaer Polytechnic Institute)
- Returned: **December 2025**
- Joined: **Nanjing University, School of Computer Science** (tenurerCatrack associate professor)
- Core focus: **AI for Science**, lead translator of the Chinese edition of *Deep Learning* (the rCLBible of Deep LearningrCY).
- Background: gave up tenure in the U.S.; focuses on AI for drug discovery, material research, and large models.

---

## II. Leading AI returnees (earlier wave: 2024 rCo 2025)

### 1. Guojun Qi (former Chief AI Scientist at Huawei USA)
- Returned: **late 2024 rCo early 2025**
- Joined: **Westlake University** (Director of MAPLE Lab)
- Core focus: top expert in **multimodal perception and generation**.
- Background: former IBM researcher, professor at University of Central Florida, Tech VP at Huawei USA, founder of OPPO Seattle Research Center.

### 2. Songchun Zhu (AI pioneer, former UCLA Professor)
- Returned: **2020** (has been deeply engaged in China in recent years)
- Joined: Founder of **Beijing Institute for General Artificial Intelligence (BIGAI)**
- Core focus: founding figure in **Artificial General Intelligence (AGI)**.

### 3. Mu Li (former Chief AI Scientist at Amazon)
- Returned: **2023 rCo 2024**
- Joined: **Amazon Shanghai AI Lab**
- Core focus: top expert in deep learning frameworks and distributed training; author of *Dive into Deep Learning*.

---

## III. Features of this AI homecoming wave
1. **Concentrated timeline**: a surge in returns from late 2025 to early 2026, with Tencent, ByteDance, Meituan, and universities as major destinations.
2. **Focused fields**: concentrated in **Agent, LLM infrastructure, multimodal AI, AI for Science** rCo ChinarCOs most competitive sectors.
3. **Strong academic & industrial backgrounds**: many come from **OpenAI, DeepMind, Google Brain**, or hold tenured positions at top universities, making them core figures in the global AI community.
--- Synchronet 3.21b-Linux NewsLink 1.2

From Newsgroup: alt.philosophy.taoism


SeeDance fan <user11874@newsgrouper.org.invalid> posted:

# xAIrCOs 2023 Founding rCLDream TeamrCY of 12 members, including 5 Chinese talents.
===========================================================================

---

# The Inside Story of How Zuckerberg Poached Jiahui Yu

The poaching of Jiahui Yu by Mark Zuckerberg was one of the most sensational incidents in Silicon ValleyrCOs AI talent wars in 2025: a lightning-fast deal signed in just 72 hours, a record-breaking compensation package worth around $100 million, and an open rift between OpenAI and Meta. Behind it all was MetarCOs high-stakes gamble to break through in AGI.

### I. Core Timeline rCo The Full Inside Story

#### 1. Background: Jiahui YurCOs Irreplaceability
Jiahui Yu was the **head of OpenAIrCOs Perception team**, the **core architect behind GPTrCa4o, GPTrCa4.1, o3/o4rCamini** and the former corCalead of multimodal AI for Google DeepMind Gemini.
A graduate of the Special Class for the Gifted Young at the University of Science and Technology of China and a PhD from UIUC, he held OpenAIrCOs most critical technologies in **vision, speech, and multimodal fusion**, and was widely seen as rCLthe eyes and ears of GPTrCa4orCY.

#### 2. The Poaching: Led Personally by Zuckerberg (June 2025)
At the time, MetarCOs **LlamarCa4 lagged behind GPTrCa4.5 by roughly 12%**, with a clear gap in multimodal capabilities.
Zuckerberg was determined to build a **Superintelligence Labs** to compete directly in AGI.
He personally drew up a rCLhit listrCY, and Jiahui Yu was the **top target**. The recruitment team held closedrCadoor meetings in a California villa, with the entire process completed in just **72 hours**.

#### 3. The SkyrCaHigh Offer: A $100M Compensation Package
Total compensation was around **$100 million per year**, including cash, equity, and signing bonus. Some reports valued the 4rCayear package at **$300 million to $450 million**.
Zuckerberg promised Yu would **report directly to him** and lead MetarCOs nextrCageneration multimodal model roadmap.

#### 4. OpenAIrCOs Backlash
OpenAI CEO Sam Altman publicly criticized MetarCOs poaching as rCLoffensive and profitrCadrivenrCY.
OpenAIrCOs research chief Mark Chen wrote in an internal memo: rCLIt feels like someone broke into our home and stole something.rCY
But Yu and his team had already made up their minds: the **AGI vision, resources, and independence** offered by Meta were unmatched at OpenAI.

#### 5. Official Announcement: June 27, 2025
Meta officially announced that **Jiahui Yu, Shuchao Bi, Hongyu Ren, Shengjia Zhao** and other core Chinese scientists from OpenAI were joining its Superintelligence Labs.
On the same day, Meta named Alexandr Wang (founder of Scale AI) as Chief AI Officer, forming an elite 50rCaperson AGI team.

### II. Why This Poaching Was Historic
#### 1. Technically: MetarCOs Shortcut to Catching Up
Yu brought the **architectures, training strategies, data recipes, and engineering details** from both Gemini and GPTrCa4o, allowing Meta to close its multimodal gap overnight.

#### 2. Talent Magnet: Hiring One Leader, Winning an Ecosystem
YurCOs strong reputation in OpenAI, DeepMind, and the global Chinese AI community made him a rCLwalking recruitment magnetrCY.

#### 3. Strategically: MetarCOs Ticket to the AGI Race
Zuckerberg was not just hiring one researcher rCo he was buying **the right to define the next generation of multimodal models**.

### III. Aftermath (2025rCo2026)
- **OpenAI**: Its multimodal progress was disrupted, forcing faster restructuring and retention efforts.
- **Meta**: Superintelligence Labs became a global focal point, with LlamarCa5 fully shifting to YurCOs multimodal architecture.
- **Industry**: AI talent costs reached new highs, with Chinese scientists emerging as the most coveted assets in the global AI race.

---

--- Synchronet 3.21b-Linux NewsLink 1.2