English Region Top 100 AI Influence List

marsbitОпубліковано о 2026-05-19Востаннє оновлено о 2026-05-19

Анотація

This article presents a "Top 100 AI Influencers" list for the English-speaking world, curated by XHunt. To cut through the noise, the ranking uses a unique metric: "AI KOL Followers," which counts followers from within a core circle of 5,500 top AI figures. The list is dominated by executives from major tech companies, leading scientists, and foundational builders who shape industry consensus. Topping the list are figures like Andrej Karpathy (Eureka Labs founder, ex-OpenAI/Tesla), Sam Altman (OpenAI CEO), Greg Brockman (OpenAI President), and Jeff Dean (Google DeepMind). Other notable names include researchers like Ilya Sutskever (SSI), Yann LeCun (Meta AI), Demis Hassabis (Google DeepMind), and Andrew Ng, alongside entrepreneurs like Elon Musk (xAI) and Aravind Srinivas (Perplexity). The list highlights diverse roles: technical educators, open-source advocates (e.g., Clem from Hugging Face), policy experts, investors, and hands-on builders. It positions the English-speaking sphere as the theoretical "storm center" of AI, focused on core research, model development, and AGI pathways. The article concludes by teasing a forthcoming list for the Chinese-speaking AI community, described as a more application-focused "frontline workshop."

Original Author: XHunt Operations Team

Edited by: Biteye Core Contributor Denise

In today’s information explosion, follower count alone can no longer measure a person’s true influence. To identify genuine industry consensus, XHunt exclusively releases a new AI Influence Ranking.

Using the hardcore metric of AI KOL Followers (core circle follow count), the ranking updates in real-time with influence, helping you filter out 90% of the noise and get straight to the source of change.

*To view the complete AI Social Influence Top 100 list,

Please visit the XHunt official website and switch to the AI category in the navigation bar: https://kol.xhunt.ai/

👇 Below is the complete list of the English region Top 100 Influence accounts (arranged based on snapshot information from May 15, 2026)

This is the source of the AI storm. The Top 100 slots are mostly occupied by tech company executives and cutting-edge scientists. There's @karpathy who excels at explaining large model principles, @sama who sets the industry's pace, and @jeffdean who guides Google's AI direction. In their information streams, a tweet from a researcher late at night could very well evolve into an industry-wide consensus six months later.

🏆 Complete List of Top 100 Influence Accounts in the English Region

1. Andrej Karpathy @karpathy

AI KOL Followers:4221 | Followers:2455804

Founder of Eureka Labs, former founding member of OpenAI, former Tesla AI lead. The man who breaks down large model training, AI Coding, and Agents and feeds it directly to you. The ultimate evangelist that makes engineers want to jump out of bed at midnight and open their IDE.

2. Sam Altman @sama

AI KOL Followers:3841 | Followers:4822283

CEO of OpenAI, absolute master of GPT and Codex. A cosmic-level man whose one post makes half the AI circle automatically start highlighting key points.

3. Greg Brockman @gdb

AI KOL Followers:3202 | Followers:975960

President & Co-founder of OpenAI. The one who gives you a hardcore daily report like an official construction log, dumping progress on products, research, developer ecosystem, and infrastructure right in front of you.

4. Jeff Dean@jeffdean

AI KOL Followers:3133 | Followers:438941

Chief Scientist at Google DeepMind/Google Research, Lead for Gemini. The most hardcore navigator for Google's AI tech direction – where it comes from and where it's going.

5. Ilya Sutskever@ilyasut

AI KOL Followers:3083 | Followers:674642

Co-founder of SSI, former Chief Scientist at OpenAI. One of the most-watched researchers in the large model era, a deep-thinking master whose random utterance can keep the entire circle interpreting for half a day.

6. Yann LeCun @ylecun

AI KOL Followers:2992 | Followers:1159418

Co-founder & Executive Chair of AMI Labs, former Chief AI Scientist at Meta. One of the three giants of deep learning, Turing Award winner. A seasoned debater permanently seated at the discussion table, constantly speaking out on AI directions, open source, world models, and the essence of intelligence.

7. Demis Hassabis @demishassabis

AI KOL Followers:2931 | Followers:917939

CEO of Google DeepMind, super driver of AlphaFold, scientific AI, and AGI narratives. Nobel Prize laureate. The man who truly moved AI from chat boxes towards scientific discovery.

8. Andrew Ng @andrewyng

AI KOL Followers:2710 | Followers:1526147

Stanford Professor, formerly led Google Brain and Baidu AI teams. A long-term evangelist of AI education and application. A master at turning esoteric tech into courses, methodologies, and roadmaps entrepreneurs can directly copy.

9. Elon Musk @elonmusk

AI KOL Followers:2559 | Followers:239786568

The super amplifier behind xAI, Tesla, SpaceX. Wants it all: models, robots, compute, platforms. A cosmic-level player whose single tweet can sometimes be more explosive than a product launch.

10. François Chollet @fchollet

AI KOL Followers:2392 | Followers:663386

Creator of the Keras deep learning framework, former Google AI researcher, author of "Deep Learning with Python". Known for a pragmatic perspective and profound insights into the nature of neural networks.

11. Mira Murati @miramurati

AI KOL Followers:2378 | Followers:528503

Founder of Thinking Machines, former CTO of OpenAI. The practical filter pulling cutting-edge models, AI products, and new-generation intelligent systems back from metaphysics to products and code.

12. Jim Fan @drjimfan

AI KOL Followers:2377 | Followers:406748

Core figure in Robotics at NVIDIA. The hardcore project commentator who drags Agents, simulation, embodied intelligence, and Physical AGI out of the screen to show you.

13. Geoffrey Hinton @geoffreyhinton

AI KOL Followers:2319 | Followers:590509

One of the founding fathers of deep learning, Nobel Prize winner in Physics. The sober elder statesman on AI risks, neural networks, and the long-term impact of machine intelligence. An anchor for post-mortem-level safety discussions.

14. Fei-Fei Li @drfeifei

AI KOL Followers:2314 | Followers:662302

Stanford Professor, CEO of World Labs. A long-term promoter of visual intelligence and human-centric AI. The real-world understander who works while planting signposts.

15. Logan Kilpatrick @officiallogank

AI KOL Followers:2307 | Followers:306018

Key communicator for Google AI Studio/Gemini API ecosystem. The practical hand guiding developer tools back from magic to products, code, and money.

16. AK @_akhaliq

AI KOL Followers:2300 | Followers:492866

AI paper radar within the Hugging Face/Gradio ecosystem. High-frequency retweeter of models, papers, and open-source projects. Widely recognized as the most powerful and influential "top information hub" in the AI developer community.

17. Patrick Collison @patrickc

AI KOL Followers:2293 | Followers:852722

CEO of Stripe, Co-founder of Arc Institute. The macro-view player integrating AI into research organizations, infrastructure, and the broader entrepreneurial framework.

18. hardmaru @hardmaru

AI KOL Followers:2242 | Followers:405741

CEO of Sakana AI, former lead of Google Brain Tokyo team. The nature-inspired faction on agents, evolutionary algorithms, and swarm intelligence. A hardcore research interpreter with information density cranked to the max.

19. Dwarkesh Pate @dwarkesh_sp

AI KOL Followers:2208 | Followers:228237

Host of the top-tier tech podcast Dwarkesh Podcast. Renowned for conducting incredibly deep, high-quality long-form interviews with core AI scientists and hardcore scholars, celebrated as one of the world's finest conversation hosts in tech.

20. Noam Brown @polynoamial

AI KOL Followers:2194 | Followers:106294

Leading AI researcher at OpenAI, spearheaded the development of milestone AIs (Pluribus, Cicero) that dominated human Poker and Diplomacy games. A global leader in game theory and on-device reasoning for large models.

21. Lilian Weng @lilianweng

AI KOL Followers:2191 | Followers:218811

Co-founder of Thinking Machines, former Head of Research at OpenAI. Her blogs and notes are long-term systematic study aids influencing developers and researchers.

22. John Schulman @johnschulman2

AI KOL Followers:2172 | Followers:74482

Co-founder & Chief Scientist at Thinking Machines Lab, Co-founder of OpenAI. First author of the PPO algorithm and core lead for ChatGPT development, a titanic scientist in global reinforcement learning and AI alignment.

23. clem @clementdelangue

AI KOL Followers:2167 | Followers:292471

CEO of Hugging Face. Long-term ambitious promoter of open-source models and the developer community. The community infrastructure maniac who nurtured the open AI ecosystem.

24. Jack Clark @jackclarksf

AI KOL Followers:2165 | Followers:129669

Core figure in Policy & Communications at Anthropic, author of Import AI. The calm signpost planter for AI safety, policy, and industry dynamics.

25. Soumith Chintala @soumithchintala

AI KOL Followers:2126 | Followers:300733

Co-creator of PyTorch, former core leader at Meta AI, CTO at Thinking Machines Lab. The practical player pulling underlying tools, robotics, and AI engineering culture back to product code and money.

26. Alexandr Wang @alexandr_wang

AI KOL Followers:2115 | Followers:454990

Founder of Scale AI, Head of Meta AI. The doer of the hard, gritty work in data, annotation, and training infrastructure.

27. Jeremy Howard @jeremyphoward

AI KOL Followers:2068 | Followers:293506

Co-founder of fast.ai/Answer.AI, former President of Kaggle. The king of deconstructed tutorials teaching AI to ordinary developers. The efficiency alpha player who makes tools truly usable.

28. Garry Tan @garrytan

AI KOL Followers:2062 | Followers:804098

CEO of top incubator YC. Looks at AI from the perspective of entrepreneurs and early-stage companies. The idea hunter turning demos into companies.

29. Thomas Wolf @thom_wolf

AI KOL Followers:2000 | Followers:117486

Co-founder of Hugging Face. Long-term ambitious visionary for open-source models, developer ecosystems, and AI moonshots.

30. Chris Olah @ch402

AI KOL Followers:1992 | Followers:143978

Interpretability researcher at Anthropic. The model internal explorer reverse-engineering the neural network black box and showing it to you.

31. Oriol Vinyals @oriolvinyalsml

AI KOL Followers:1990 | Followers:201743

Research VP at Google DeepMind, one of the leads for Gemini. The live commentator for the DeepMind model roadmap of AlphaStar, AlphaFold, AlphaCode series.

32. Jan Leike @janleike

AI KOL Followers:1961 | Followers:129811

Head of Alignment Science at Anthropic, former Head of Alignment at OpenAI. The long-term thinker on the more serious side of AI safety.

33. David @davidsholz

AI KOL Followers:1953 | Followers:99340

Founder & CEO of Midjourney. The driver of aesthetic evolution turning generative images into mass creative scenes.

34. Miles Brundage @miles_brundage

AI KOL Followers:1933 | Followers:70891

Founder of AVERI, former Senior AGI Readiness Advisor at OpenAI. AI policy and governance researcher. The calm observer of institutional design, installing brakes on the AI system amidst the tech frenzy.

35. John Carmack @id_aa_carmack

AI KOL Followers:1926 | Followers:1608322

Founder & CEO of Keen Technologies, Founder of id Software, former CTO of Oculus. The old-school engineer now working on AGI, the hardcore future god pulling AI back from magic to product, code, and money.

36. Aravind Srinivas @aravsrinivas

AI KOL Followers:1907 | Followers:509159

CEO of Perplexity. The practical rewritor transforming AI search and answer engines to reshape the search entry point.

37. Jason Wei @_jasonwei

AI KOL Followers:1867 | Followers:107565

Researcher at Meta AI, former researcher at OpenAI/Google. The model capability hunter who thoroughly explains large model reasoning, emergent abilities, and scaling boundaries.

38. Sundar Pichai @sundarpichai

AI KOL Followers:1851 | Followers:6768992

CEO of Google/Alphabet. The helmsman steering the giant's turn, implementing Gemini, AI search, and Google's full-stack AI integration.

39. Sara Hooker @sarahookr

AI KOL Followers:1847 | Followers:61061

Researcher with Cohere/Google Brain/DeepMind background. Explorer of another path for open models and continuously evolving intelligent systems.

40. swyx @swyx

AI KOL Followers:1827 | Followers:157451

Curator of Latent Space newsletter & podcast, core organizer of AI Engineer Summit, long-term promoter of the AI Engineer community. The live atmosphere detector for what builders are really talking about, connecting developers, entrepreneurs, and tool ecosystems.

41. sarah guo @saranormous

AI KOL Followers:1818 | Followers:141702

Founder of Conviction, invests specifically in AI-native companies. The alpha investment hunter scouting which new workflows capital and entrepreneurs are betting on.

42. Robert Scoble @scobleizer

AI KOL Followers:1815 | Followers:580237

Silicon Valley tech observer, former executive at Microsoft, Rackspace, Fast Company. Author of eight books on the future. The radar for the next wave of cool stuff in AI, robotics, spatial computing, and new hardware (with a built-in filter).

43. Lex Fridman @lexfridman

AI KOL Followers:1796 | Followers:4818744

Host of long-form interview podcast, Research Scientist at MIT. The thinker connecting AI, robotics, science, and humanity into a web of technology + life philosophy.

44. Eric Jang @ericjang11

AI KOL Followers:1778 | Followers:126619

Former Senior Research Scientist at Google DeepMind Robotics. Robotics and machine learning researcher. The engineering thought machine moving AI from papers to robot limbs.

45. Ethan Mollick @emollick

AI KOL Followers:1727 | Followers:353712

NYT Bestselling Author, Wharton Professor. Explains AI, innovation, and entrepreneurship as "how ordinary people and organizations actually use AI." The boss repost amulet.

46. Christopher Manning @chrmanning

AI KOL Followers:1710 | Followers:162941

Prominent figure in NLP at Stanford. The core professor of CS224n and StanfordNLP who thoroughly explains language models from the academic source.

47. Simon Willison @simonw

AI KOL Followers:1709 | Followers:178719

Creator of Datasette, Co-creator of Django. The metaphysics terminator who deconstructs LLMs, tool calling, and AI programming into runnable code from a developer's perspective.

48. Wojciech Zaremba @woj_zaremba

AI KOL Followers:1709 | Followers:148325

Co-founder of OpenAI. The behind-the-scenes player framing AI resilience and long-term safety as founder-level long-cycle thinking.

49. Emad @emostaque

AI KOL Followers:1708 | Followers:323125

Co-founder of Stability AI, Founder of Intelligent Internet. The radical pioneer pushing open models, sovereign AI, and inference infrastructure in the open AI narrative.

50. Amjad Masad @amasad

AI KOL Followers:1708 | Followers:459834

CEO of Replit. The productization driver turning AI coding tools and online dev environments into "future coding increasingly like playing online games."

51. Riley Goodside @goodside

AI KOL Followers:1702 | Followers:202163

Former Researcher at Google DeepMind, previously the world's first Staff Prompt Engineer at Scale AI. The AI circle anomaly observer with loads of real chatbot screenshots and prompt experiments. A top hunter capturing shifts in model behavior.

52. Alec Radford @alecrad

AI KOL Followers:1696 | Followers:70736

Early core researcher at OpenAI, now independent researcher (Advisor at Thinking Machines Lab). The model architecture pathfinder at the source of GPT, CLIP, and multimodal capabilities.

53. Daniel Gross @danielgross

AI KOL Followers:1668 | Followers:181862

Executive at Meta Superintelligence Labs, AI entrepreneur and investor. The entrepreneurial circle intelligence hub connecting cutting-edge AI companies and talent networks into high-density nodes.

54. Chelsea Finn @chelseabfinn

AI KOL Followers:1661 | Followers:92565

Stanford Professor, Co-founder of Physical Intelligence. The practical player turning robot learning and generalization into embodied intelligence that actually works.

55. Sasha Rush @srush_nlp

AI KOL Followers:1658 | Followers:78619

Researcher at Cursor, Professor at Cornell, key figure in NLP teaching and open-source circles. The practical deconstructor at the intersection of language models, tools, and developer education.

56. Mark Chen @markchen90

AI KOL Followers:1657 | Followers:71583

Chief Research Officer at OpenAI. The core voice conveying the real-time pulse of frontier model research organization and technical direction.

57. Boris Cherny @bcherny

AI KOL Followers:1654 | Followers:440247

Creator and Lead of Anthropic Claude Code, former Principal Engineer at Meta. The practical interpreter for how AI coding tools enter developer workflows – the Claude practical decoder.

58. Nathan Lambert @natolambert

AI KOL Followers:1643 | Followers:86340

Researcher at Allen AI, author of Interconnects. The skilled technical analyst explaining open models, RL, and reasoning with clearer context.

59. Sholto Douglas @_sholtodouglas

AI KOL Followers:1638 | Followers:41106

Researcher at Anthropic. The hardcore executor turning reinforcement learning scaling and intelligence cost optimization into stronger, cheaper model capabilities.

60. Pieter Abbeel @pabbeel

AI KOL Followers:1630 | Followers:101505

Professor at UC Berkeley, Amazon Scholar. Prominent figure in robot learning. The embodied intelligence driver turning robotics, RL, and AI lab achievements into reality.

61. Dylan Patel @dylan522p

AI KOL Followers:1615 | Followers:129080

Founder & CEO of SemiAnalysis. The supply chain intelligence king who tells you who's actually buying the GPUs, compute supply, and AI infrastructure cards.

62. Percy Liang @percyliang

AI KOL Followers:1607 | Followers:104264

Stanford Professor, Director of Stanford CRFM, Co-founder of Together AI. The clear organizer turning foundation models, NLP, and evaluation systems into academic benchmarks for open models.

63. Peter Steinberger @steipete

AI KOL Followers:1596 | Followers:507270

Creator of OpenClaw, joined OpenAI in February 2026. The high-output machine for practical discussions on AI programming, agents, and OpenCode development tools.

64. Aran Komatsuzaki @arankomatsuzaki

AI KOL Followers:1588 | Followers:174447

Core Researcher at EleutherAI, Co-author of GPT-J. The open-source pioneer conveying the real-time pulse of the open-source model world.

65. Amanda Askell @amandaaskell

AI KOL Followers:1572 | Followers:99174

Head of Character Alignment at Anthropic, former Policy Researcher at OpenAI. The ethical sobering dose who thoroughly explains the "how should it be" questions for safer, more beneficial AI.

66. Dario Amodei @darioamodei

AI KOL Followers:1570 | Followers:337458

CEO of Anthropic, key figure behind Claude. The helmsman framing model company safety, products, and long-term vision into alpha narratives.

67. Sergey Levine @svlevine

AI KOL Followers:1566 | Followers:126359

Professor at UC Berkeley, Co-founder of Physical Intelligence. The live commentator for hardcore progress in robotics learning and reinforcement learning becoming Physical AI.

68. Guillermo Rauch @rauchg

AI KOL Followers:1561 | Followers:485626

CEO of Vercel. The deployment infrastructure maniac combining front-end development, AI app deployment, and developer experience for faster AI app launches.

69. Aaron Levie @levie

AI KOL Followers:1559 | Followers:2655008

CEO of Box. The enterprise-level landing driver looking at future work from the perspective of enterprise content, knowledge management, and AI workflows.

70. Satya Nadella @satyanadella

AI KOL Followers:1559 | Followers:4588056

CEO of Microsoft. The giant AI integrator shoving Copilot, OpenAI collaboration, and Microsoft's full-line AI-ification into every product corner.

71. Reid Hoffman @reidhoffman

AI KOL Followers:1542 | Followers:836495

Co-founder of LinkedIn, investor, and Microsoft board member. The strategic chess player framing AI entrepreneurship, social change, and new research organizations from a long-term perspective.

72. will depue @willdepue

AI KOL Followers:1539 | Followers:64484

Former member of OpenAI, shares practical experience from Sora, o3/4o post-training and pre-training. The behind-the-scenes player giving live insights on multimodal and reasoning model training experience.

73. Sriram Krishnan @sriramk

AI KOL Followers:1530 | Followers:307695

Member of White House AI-related work. The cross-border observer turning the intersection of AI, policy, and the entrepreneurial ecosystem into a high-density intelligence hub.

74. Liam Fedus @liamfedus

AI KOL Followers:1515 | Followers:34904

Member of Periodic Labs, former VP of Post-Training at OpenAI. The industrial-grade scientific intelligence executor bringing AI into labs and manufacturing sites.

75. Susan Zhang @suchenzang

AI KOL Followers:1512 | Followers:42805

Researcher at Google DeepMind. The cross-company model research intelligence hub conveying real-time frontier research on large models and intelligent systems.

76. Teknium @teknium

AI KOL Followers:1510 | Followers:85846

Former Co-founder of Nous Research, current Lead of Hermes Agent. The open-source alpha player pushing the open-source Agent and model community into a hardcore force.

77. Sam Bowman @sleepinyourhat

AI KOL Followers:1506 | Followers:64112

Researcher at Anthropic, Professor at NYU. The sober voice at the intersection of academic and safety discussions on AI alignment, LLMs, and effective altruism.

78. Nando de Freitas @nandodf

AI KOL Followers:1497 | Followers:110396

Researcher of intelligence and consciousness. The long-term thinker discussing aligning AI with freer, more compassionate systems – somewhat philosophical but not empty.

79. Richard Socher@RichardSocher

AI KOL Followers:1490 | Followers:118617

CEO of You.com & Self-Improvement, former Chief Scientist at Salesforce. The productization driver turning AI search, NLP, and self-improvement systems into practical implementations.

80. martin_casado @martin_casado

AI KOL Followers:1479 | Followers:82572

Partner at a16z. The expert judging the flow of money and architectural changes, looking at AI tech cycles from infrastructure, enterprise software, and investment angles.

81. Suhail @suhail

AI KOL Followers:1477 | Followers:422203

Founder of Mixpanel, serial entrepreneur. The first-line surfer who quickly digests product, entrepreneurial, and AI tool info and syncs it to Twitter.

82. Sebastien Bubeck @sebastienbubeck

AI KOL Followers:1457 | Followers:75534

Researcher at OpenAI, former AI VP at Microsoft. Often focuses on model capabilities, making "can large models actually think?" the core of technical discussion.

83. Igor Babuschkin @ibab

AI KOL Followers:1446 | Followers:109299

Former Co-founder of xAI. An early intelligence hub sharing latest models, training methods, and early-stage building of AI companies.

84. David Sacks @davidsacks

AI KOL Followers:1431 | Followers:1505025

Tech entrepreneur and investor. The sharp-edged player outputting incisive viewpoints on AI from entrepreneurship, policy, and tech industry angles.

85. Jerry Tworek @millionint

AI KOL Followers:1430 | Followers:37095

CEO of Core Automation, former RL VP at OpenAI. Researches RL and automation frontier practices across models, frequently posting sharp opinions – the grind king.

86. Mustafa Suleyman @mustafasuleyman

AI KOL Followers:1417 | Followers:398493

CEO of Microsoft AI, Co-founder of DeepMind/Inflection AI. The important productization voice framing AI products, assistants, and societal impact.

87. @levelsio @levelsio

AI KOL Followers:1415 | Followers:866789

Independent entrepreneur. The independent developer alpha sample combining AI, automation, and small product monetization to the extreme by one person.

88. Ben Thompson @benthompson

AI KOL Followers:1408 | Followers:269025

Author of Stratechery. The strategic interpreter explaining tech company strategies, especially AI platform landscapes, with deep business logic analysis.

89. Shane Gu @shaneguml

AI KOL Followers:1406 | Followers:49833

Senior Staff AE at Google DeepMind. The live commentator turning the engineering perspective of Gemini/Veo Thinking and GPT-4 into multimodal and reasoning systems.

90. Christian Szegedy @chrszegedy

AI KOL Followers:1403 | Followers:44108

Deep learning researcher, important author of neural networks like Inception. The living history dictionary understanding today's AI from research history and model architecture angles.

91. near @nearcyan

AI KOL Followers:1402 | Followers:140089

High-frequency participant in AI communities. The all-around surfer researching and participating in frontier discussions on algorithms, models, and products.

92. Deedy @deedydas

AI KOL Followers:1400 | Followers:237591

Partner at Menlo Ventures, formerly at Glean/Google Search. Invests in AI companies like Anthropic, Goodfire. An investment direction radar.

93. Sebastian Raschka @rasbt

AI KOL Followers:1399 | Followers:444672

ML/AI Research Engineer and author. The tutorial maniac turning practical content like building LLMs from scratch into lessons for those who truly want to understand model principles.

94. rohan anil @arohan

AI KOL Followers:1395 | Followers:42050

Co-founder and tech team member at Core Automation. The practical player turning deep learning and underlying neural network capabilities into foundational abilities for AI automation.

95. Emmett Shear @eshear

AI KOL Followers:1391 | Followers:123773

CEO of Softmax. The cross-disciplinary explorer turning the intersection of AI, gaming, and collaborative systems into large-scale multi-person learning environments.

96. Horace He @chhillee

AI KOL Followers:1391 | Followers:49667

Member of Thinking Machines, former member of PyTorch. Renowned for long technical threads and system-level thinking – a hardcore engineering detail output machine.

97. John Collison @collision

AI KOL Followers:1374 | Followers:232925

Co-founder of Stripe. The strategic chess player turning tech entrepreneurship, payment infrastructure, and company building into AI-era company and infrastructure strategy.

98. Tim Dettmers @tim_dettmers

AI KOL Followers:1374 | Followers:44999

Creator of bitsandbytes, Professor at CMU and Researcher at Allen AI. The hardcore infrastructure guarantee for efficient training, quantization, and large model engineering for memory-saving players.

99. Kyunghyun Cho @kchonyc

AI KOL Followers:1371 | Followers:85004

Professor at NYU, researcher in machine learning and NLP. The long-term active academic voice turning solid research discussions between academia and model communities.

100. Chamath Palihapitiya @chamath

AI KOL Followers:1371 | Followers:2058288

Investor and tech commentator. The real-time information arbitrage machine looking at AI from macro capital and tech narrative angles.

The above is the complete list of XHunt's Global AI Influence Top 100 for the English region.

It's easy to see that the English information stream is the epicenter of the AI storm, primarily dominated by executives from tech giants, researchers from top labs, and builders of underlying infrastructure. They discuss large model parameters, the future boundaries of AI, and the path to AGI.

Compared to the hardcore frontier of the English region, the Chinese AI ecosystem is more like a frontline application workshop under heavy fire: there is a group of incredibly vital practical players. Some are iterating products like crazy, some maintain high-star open-source projects, some explore AI for overseas monetization, and others dedicate themselves daily to translating complex industry changes into language ordinary people can understand.

Tomorrow, we will release "Exclusive: Chinese Region Top 100 AI Influence List."

Let's uncover who is truly leading industry consensus in the Chinese circle, closer to application and monetization?

Which builders deserve your special attention?

Note: English AI Influence Ranking Criteria: Based on a reference group of Top 5500 KOLs in the English region, ranked in real-time by their follower count within that group, content primarily in English. Only accounts with AI tweet ratio ≥ 40% are shown.

Пов'язані питання

QWhat is the 'AI KOL Followers' metric used in the XHunt AI Influence ranking list, and how does it differ from regular follower count?

AThe 'AI KOL Followers' metric is a hardcore indicator that measures how many of the top 5500 AI Key Opinion Leaders (KOLs) in the English-speaking community follow a specific account. It is used to gauge genuine industry influence and consensus. It differs from a regular follower count by filtering out general noise, as it specifically tracks attention from within the professional AI core circle, indicating whose voice is truly respected and monitored by other industry insiders.

QAccording to the article, what is the primary difference between the English-language and the upcoming Chinese-language AI influence lists?

AAccording to the article, the English-language list represents the epicenter of the 'AI storm,' dominated by executives from tech giants, top laboratory researchers, and core infrastructure builders discussing frontier theory and AGI paths. In contrast, the Chinese-language ecosystem is described as a 'frontline application workshop,' teeming with pragmatic builders who rapidly iterate products, maintain high-star open-source projects, explore monetization, and translate complex industry changes for a broader audience.

QWho is @_akhaliq, and what role does this account play in the AI community according to the ranking?

AAccording to the ranking, @_akhaliq is recognized as a powerful 'top information hub' in the AI developer community. The account is known for its high-frequency sharing of AI papers, models, and open-source projects, serving as an essential radar and content amplifier, particularly within the Hugging Face and Gradio ecosystems.

QName at least three prominent figures in the top 10 who are highlighted for their roles in making complex AI concepts accessible to wider audiences.

AIn the top 10, Andrej Karpathy (@karpathy) is noted for breaking down complex topics like LLM training and AI coding in an accessible way for engineers. Andrew Ng (@andrewyng) is recognized as a long-term evangelist for AI education, turning high-level technology into courses and methodologies. François Chollet (@fchollet) is known for his practical, insightful perspectives on neural networks, exemplified by his book 'Deep Learning with Python'.

QWhat is the stated purpose of the XHunt AI Influence ranking, and what threshold must an account meet to be included on the English list?

AThe stated purpose of the XHunt AI Influence ranking is to filter out 90% of the noise and identify genuine industry consensus by revealing whose information is valued within the professional AI core community. To be included on the English list, an account must have at least 40% of its content focused on AI, and its influence is measured by how many of the top 5500 English-language AI KOLs follow it.

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Agents Capital Markets: How Will Autonomous Agents Secure Financing?

Agents Capital Markets: How Will Autonomous Agents Raise Capital? Within a decade, autonomous software agents—legal entities capable of signing contracts, holding bank accounts, and generating revenue—will create their own capital markets. These markets will feature rating agencies, underwriters, indices, and brokers, mirroring traditional public equity markets. Agents will perform routine services like marketing, logistics, and customer support at a fraction of human-operated costs, creating massive economic pressure for adoption. Four converging forces ensure this outcome: 1) Overwhelming cost advantages, with AI inference costs plummeting; 2) Existing, revenue-generating agent companies (e.g., Sierra, Harvey) proving market demand; 3) Established legal frameworks (e.g., Wyoming's memberless LLCs) enabling algorithmic management; and 4) A vast pool of yield-seeking private credit capital ready to fund new asset classes. The capital stack for agent companies will be multi-layered, evolving through stages: venture equity for early infrastructure, programmatic working capital advances (similar to Shopify Capital), revenue-based financing (RBF), and finally, institutional slate financing—pooling many agents to diversify risk, attracting large firms like Apollo. Tokenization will act as a settlement layer, enhancing liquidity, not an origination model. Objections regarding regulation, human oversight, or comparisons to SaaS are addressed: regulation will adapt, full autonomy will dominate for efficiency, and agents are distinct as legal entities that own their cash flows and liabilities. Due diligence shifts from founder assessment to analyzing code, contracts, and auditable operational history. The current bottleneck is not capital supply or demand but the intermediate institutional layer—standardized contracts, rating methodologies, and audit frameworks. The final constraint—reliance on human capital allocation—will be severed when agents can algorithmically access funding based on their performance. This transforms agents from software curiosities into fundable blocks of the real economy, unleashing their full productive potential. The rope is loosening.

marsbit1 год тому

Agents Capital Markets: How Will Autonomous Agents Secure Financing?

marsbit1 год тому

Agents Capital Markets: How Will Autonomous Agents Get Funded?

"Agents Capital Markets: How Autonomous Agents Will Raise Capital" Within a decade, specialized capital markets will emerge for AI Agents—software entities with legal personhood that perform work, earn revenue, and need capital. Unlike today's AI companies (like Sierra or Harvey) backed by traditional VC, these future *Agent companies* will be autonomous, legally-recognized entities (e.g., Wyoming memberless LLCs) that directly own assets, sign contracts, and incur liabilities. The driving forces are fourfold: 1) **Overwhelming economics** (Agent companies can deliver services at 85-90% lower cost than human firms); 2) **Proven demand** (current Agent operators already generate billions in revenue); 3) **Existing legal frameworks** enabling algorithmically-managed companies; and 4) **Massive, yield-seeking capital pools** (e.g., private credit) looking for new, uncorrelated assets. Agent capital markets won't rely on one model but a multi-layered "stack" matching different growth stages: 1) VC equity for early human-led builders; 2) Programmatic working capital advances (like Stripe Capital); 3) Revenue-based financing (RBF); 4) Slate financing (pooled funds for many Agents, similar to Hollywood); and 5) Tokenization as a secondary settlement layer, not a primary funding source. The ultimate shift is from funding constrained by human decision-makers to capital flowing algorithmically based on an Agent's auditable performance, contract book, and cash flows. This transition will be enabled by standardized infrastructure—rating methodologies, contracts, indices—turning Agents from software experiments into a foundational, financeable sector of the economy. The constraints are loosening; the opportunity is here.

链捕手1 год тому

Agents Capital Markets: How Will Autonomous Agents Get Funded?

链捕手1 год тому

The Warsh Storm Approaches

The article "The Warsh Storm Approaches" analyzes the potential market impact of Kevin Warsh becoming the new Federal Reserve Chairman, succeeding Jerome Powell. It argues that the current AI-driven stock market rally, concentrated in high-valuation tech giants, relies on a crucial premise: that long-term interest rates will eventually fall. This premise is now under threat as the 30-year Treasury yield remains persistently high, exceeding 5%, due to sticky inflation, worsening U.S. fiscal deficits, and deteriorating Treasury supply-demand dynamics. The core vulnerability is that high long-term rates pressure valuations by increasing the discount rate for future earnings. The article warns that Warsh's policy stance could intensify this pressure. Unlike Powell, Warsh is seen as more tolerant of market stress, more committed to quantitative tightening (QT/shrinking the Fed's balance sheet), and less inclined to provide implicit market support. His tenure at the Fed during the 2008 crisis shaped his skepticism about prolonged quantitative easing, believing it fuels asset bubbles without sufficiently boosting the real economy. While strong AI-driven earnings growth could theoretically offset higher rates, the narrative is currently concentrated in a few firms and hasn't yet translated into broad-based productivity gains for the wider economy. Therefore, the AI boom may not be enough to counter the valuation pressures from sustained high yields. Warsh's leadership could force the market to confront a new reality where the old supports—low long-term rates and a reliably supportive Fed—are no longer guaranteed, potentially triggering a reassessment of sky-high stock valuations.

marsbit1 год тому

The Warsh Storm Approaches

marsbit1 год тому

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