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VIBERS

People and companies to know in AI. Explore their work, ideas, and experience.

Zhilin Yang951

Zhilin Yang

Zhilin Yang is founder and CEO of Moonshot AI, the company behind Kimi. His research contributions include equal-contributing authorship of XLNet and Transformer-XL and coauthorship of work scaling the Muon optimizer for language-model training.

Start with Transformer-XL: Attentive Language Models Beyond a Fixed-Length Context

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Xinyu Zhou952

Xinyu Zhou

Xinyu Zhou is a Moonshot AI researcher whose published work includes scaling the Muon optimizer, sparse block attention for long contexts and Kimi-Audio. The Kimi-Audio report identifies him as a project lead and core contributor.

Start with MoBA: Mixture of Block Attention for Long-Context LLMs

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Shitao Xiao953

Shitao Xiao

Shitao Xiao researches text embeddings and retrieval models. He is first author of RetroMAE and C-Pack and a coauthor of M3-Embedding, work that connects model pretraining with finding relevant passages across languages and document lengths.

Start with RetroMAE: Pre-Training Retrieval-oriented Language Models Via Masked Auto-Encoder

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Zhang Hongjiang954

Zhang Hongjiang

Zhang Hongjiang is a distinguished visiting professor at Tsinghua University’s Institute for AI Industry Research and a former chairman of BAAI. His career combines multimedia research with technology leadership at Microsoft and Kingsoft.

Start with Adaptive Content Delivery: A New Research Area in Media Computing

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Huang Tiejun955

Huang Tiejun

Huang Tiejun is chairman of the Beijing Academy of Artificial Intelligence and a professor at Peking University. His research connects visual information processing and neuromorphic computing, including the SpikeCV framework.

Start with SpikeCV: Open a Continuous Computer Vision Era

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Wang Zhongyuan956

Wang Zhongyuan

Wang Zhongyuan is president of the Beijing Academy of Artificial Intelligence. His research covers knowledge-based language understanding and multimodal AI.

Start with An Inference Approach to Basic Level of Categorization

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Cheng Yixiao957

Cheng Yixiao

Cheng Yixiao is co-founder, executive director, chairman and CEO of Kuaishou. He launched the original GIF Kuaishou app in 2011 and now oversees a business spanning short-form video, commerce and AI services.

Start with Kuaishou fifteenth-anniversary AI strategy

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Patrick Esser958

Patrick Esser

Patrick Esser is a co-founder of Black Forest Labs and a computer-vision researcher. He co-authored Taming Transformers and Latent Diffusion Models, and helped develop the rectified-flow transformer approach used in high-resolution image generation.

Start with The researcher-to-founder journey

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Andreas Blattmann959

Andreas Blattmann

Andreas Blattmann is a co-founder and managing director of Black Forest Labs. His research spans controllable image-to-video generation, Latent Diffusion Models and Stable Video Diffusion.

Start with iPOKE

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Liang Rubo960

Liang Rubo

Liang Rubo, listed in English by ByteDance as Rubo Liang, is the company’s co-founder, chairman and CEO.

Start with ByteDance: founders and company journey

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Louis Vichy961

Louis Vichy

Louis Vichy is a co-founder of OpenRouter. His work connects model access and routing infrastructure with developer tools, following earlier projects in browser extensions, local inference and application engineering.

Start with Inside OpenRouter’s Tech Stack and Use of Effect

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Adam Sypniewski962

Adam Sypniewski

Adam Sypniewski is CTO of Deepgram, where he leads research and engineering for speech systems. His work connects machine-learning models with the runtime and computing infrastructure needed for responsive voice applications.

Start with Four Pitfalls to Avoid When Building Compelling Voice Experiences

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Liang Wang963

Liang Wang

Liang Wang is a senior researcher at Microsoft Research Asia working on retrieval, text matching and embeddings. He is first author of the E5 text-embedding paper and publishes models through the intfloat account.

Start with Text Embeddings by Weakly-Supervised Contrastive Pre-training

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Yuxin Wu964

Yuxin Wu

Yuxin Wu builds foundation models at Moonshot AI. His earlier computer-vision work includes Group Normalization with Kaiming He, coauthorship of Momentum Contrast and creation of the Detectron2 library.

Start with Group Normalization

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Mark Zuckerberg965

Mark Zuckerberg

Mark Zuckerberg is founder, chairman and CEO of Meta, which he founded as Facebook in 2004. He sets the company’s product and technology direction and has written about AI model releases, personal AI systems and immersive computing.

Start with Open Source AI Is the Path Forward

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Gai Kun966

Gai Kun

Gai Kun is senior vice president of Kuaishou and head of its Kling AI Division. His public presentations address video-generation tools and the controls people need to turn a creative intention into a usable sequence.

Start with Kling AI 2.0 launch account

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Pony Ma967

Pony Ma

Pony Ma, also known as Ma Huateng, co-founded Tencent and is its chairman and CEO. He leads the company’s strategy and management across communication, games, cloud and other technology businesses.

Start with Tencent 2022 ESG report: progress on all three fronts

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Lei Jun968

Lei Jun

Lei Jun is the founder, chairman and CEO of Xiaomi. His influence on AI comes through a company that combines consumer devices, operating systems, connected products and electric vehicles, providing channels for models to become everyday software features.

Start with Xiaomi 2026 chairman’s statement

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Robin Li969

Robin Li

Robin Li is co-founder, chairman and CEO of Baidu. His career spans search engineering and the leadership of a company building AI models, cloud infrastructure, agent products and autonomous-driving services.

Start with Daily Active Agents at Baidu Create 2026

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Eric Xu970

Eric Xu

Eric Yong Xu, also known as Xu Yong, is a co-founder of Baidu and founder and chairman of Yifang Capital. Trained in biology, he later worked across entrepreneurship, investment and educational philanthropy.

Start with Xu Family Foundation: education and research projects

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Wang Xing971

Wang Xing

Wang Xing is Meituan’s founder, chairman and chief executive. His relevance to AI lies in directing a large real-world services platform that is applying language models and assistants to local commerce and delivery.

Start with Meituan 2025 annual report

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Peter DeSantis972

Peter DeSantis

Peter DeSantis is an Amazon senior vice president overseeing its expansive AI models, custom silicon and quantum-computing organization. His work connects model development with the chips and cloud infrastructure needed to operate it.

Start with Five things to know about Peter DeSantis

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Víctor Perez973

Víctor Perez

Víctor Perez is co-founder and CEO of Krea, which develops generative models and tools for visual work. His research and product work centers on giving people more direct control over the images, scenes and edits they create.

Start with A New Krea

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Zhang Peng974

Zhang Peng

Zhang Peng is cofounder, CEO and general manager of Z.AI, the company previously known as Knowledge Atlas and Zhipu AI. He combines company leadership with research contributions to bilingual language models and cross-language knowledge graphs.

Start with GLM-130B: An Open Bilingual Pre-Trained Model

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Li Juanzi975

Li Juanzi

Li Juanzi, published as Juanzi Li, is a professor at Tsinghua and a cofounder of Z.AI. Her research connects knowledge graphs, language models and explainable question answering, including benchmarks that make reasoning steps and long-context understanding easier to examine.

Start with KQA Pro: A Dataset with Explicit Compositional Programs for Complex Question Answering over Knowledge Base

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Pieter Abbeel976

Pieter Abbeel

Pieter Abbeel is a professor at the University of California, Berkeley, directing its Robot Learning Lab and co-directing BAIR. His research studies how robots learn from demonstrations and experience, alongside work applying AI to robotics and other disciplines.

Start with Apprenticeship learning and reinforcement learning

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Rissa Cao977

Rissa Cao

Rissa Cao is co-founder and CEO of Fish Audio. Her public writing and interviews focus on expressive voice generation, the product needs behind it and the company’s work with creators and enterprise customers.

Start with 5 Models, 22 People, 1 Year

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Joëlle Pineau978

Joëlle Pineau

Joëlle Pineau is chief AI officer at Cohere and a professor of computer science at McGill, currently on part-time leave. Her research addresses planning and learning with incomplete information, and her reproducibility work helps researchers describe how their machine-learning results were obtained.

Start with Machine Learning Reproducibility Checklist

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Bill Dally979

Bill Dally

Bill Dally is NVIDIA’s chief scientist and senior vice president of research. A computer architect and former Stanford computer-science chair, he has worked on interconnection networks, experimental parallel computers and efficient processing architectures, while leading NVIDIA Research since 2009.

Start with Bill Dally Caltech alumni interview

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Shijia Liao980

Shijia Liao

Shijia Liao is founder and chief scientist of Fish Audio. He works on speech-generation models and the training and inference systems that make expressive voice output controllable and practical to serve.

Start with How we made our text-to-speech API free

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Yeyi Yun981

Yeyi Yun

Yeyi Yun is co-founder and president of MiniMax. Her work focuses on turning the company’s multimodal models into products and a global business, alongside responsibility for company operations.

Start with MiniMax AI Founder Day at GTC

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Pengyu Zhao982

Pengyu Zhao

Pengyu Zhao leads large-language-model research and engineering at MiniMax and serves as an executive director. His co-authored research includes long-context foundation models and verifiable logical-reasoning data for reinforcement learning.

Start with SynLogic code and data

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Anna Veronika Dorogush983

Anna Veronika Dorogush

Anna Veronika Dorogush is founder and CEO of Recraft, an AI lab building image models and tools for visual creators. Previously she led the machine-learning tools team at Yandex and helped create CatBoost, an open-source gradient-boosting library for working with structured data and categorical features.

Start with CatBoost: gradient boosting with categorical features support

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Yan Junjie984

Yan Junjie

Yan Junjie is MiniMax’s founder, chairman, CEO and CTO, overseeing research strategy and company operations.

Start with The MiniMax-M2 Series: Mini Activations Unleashing Max Real-World Intelligence

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Srikar Talluri985

Srikar Talluri

Srikar Talluri is a software engineer whose public work includes a transformer-based chess engine and a visualizer for matrix transformations. His professional profile describes work on fast model inference at Fireworks AI.

Start with Chessformer

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Sao10K986

Sao10K

Sao10K, who publishes as Sao, makes language-model merges and fine-tunes for creative writing and roleplay. The creator’s releases include Fimbulvetr, Stheno and Euryale.

Start with L3.3-70B-Euryale-v2.3

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Undi95987

Undi95

Undi95 publishes open-weight model merges and local AI software. The creator’s work includes the ReMM model series and Hanami, a character-chat interface with inspectable prompts and local conversation files.

Start with Hanami

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Biao Gong988

Biao Gong

Biao Gong researches multimodal generative models. He is a co-author of Ming-Omni and Ming-Lite-Uni, which combine visual understanding with image generation, and Framer, a system for creating motion between supplied images.

Start with Framer

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Boyu Tian989

Boyu Tian

Boyu Tian is a computer systems researcher working on infrastructure for AI agents. His research connects memory-system design with model serving and agent workloads, including concurrency control when many agents share limited accelerator memory.

Start with CONCUR

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YS
990

Yiran Suo

Yiran Suo co-authored ContextWeave, a benchmark of whether remembered experience helps agents continue real workflows. It extends memory evaluation beyond recalling a fact from a long prompt.

Start with ContextWeave

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MZ
991

Maosen Zhou

Maosen Zhou is a co-author of research on tool-using agents, including WEFT, ContextWeave and the Nex-N1 report. These projects study how training environments, execution systems and memory affect an agent’s ability to complete longer tasks.

Start with WEFT

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DoctorShotgun992

DoctorShotgun

DoctorShotgun is a public pseudonymous developer and language-model fine-tuner. Their work includes the Magnum-Diamond models for creative writing and practical guidance for running large mixture-of-experts models across CPU and GPU memory.

Start with Local MoE inference with CPU and GPU memory

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lucyknada993

lucyknada

lucyknada, who publishes as lucy, develops tools for working with local language models. Their repositories include a long-context retrieval test and a notebook for preparing quantized models in several formats.

Start with Detective Needle

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Dhruv Bhatia994

Dhruv Bhatia

Dhruv Bhatia is a founding researcher at Morph, working on specialized models and inference for coding agents. His published work includes accounts of fast code-edit application and model-assisted code search.

Start with Fast Apply Makes Faster Agents

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Fernando Fernandes Neto995

Fernando Fernandes Neto

Fernando Fernandes Neto researches efficient adaptation of language models. He co-authored Spectrum, which selects model layers for training, and work on transplanting tokenizers between models. Arcee AI also credits him on its foundation-model releases.

Start with Spectrum implementation

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Gryphe996

Gryphe

Gryphe, who publishes as Gryphe Padar, develops language-model merging tools and creative-writing models. Their work includes MythoMax, BlockMerge Gradient and MergeMonster, along with later fine-tunes and synthetic datasets.

Start with MergeMonster

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RR
997

Raven (rzvzn)

Raven, credited as rzvzn on Discord, trained Kokoro, an open-weight text-to-speech model. The original demo names Raven, and the model card credits the Discord handle. Public evidence supports this specific contribution; it does not establish a legal name or ownership of similarly named accounts.

Start with Kokoro

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JX
998

Jingxuan Xu

Jingxuan Xu is the first listed author of SWE-Compass, a benchmark that evaluates coding agents on tasks drawn from GitHub pull requests.

Start with SWE-Compass

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Jian Yang999

Jian Yang

Jian Yang studies how language models write and evaluate code. He co-authored Qwen2.5-Coder at Alibaba and leads LoopCoder research at Beihang University.

Start with LoopCoder-v2

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