I can provide you with a list of influential AI experts to follow on X (formerly Twitter). Note that influence can be subjective and difficult to measure. The suggestions below are based on a combination of factors, including their contributions to the field, engagement, and presence on X.

Here is a list of some X users in the AI field to follow:

1. Allie K. Miller (@alliekmiller) AI leader, advisor, and investor, known for creating educational content and advising Fortune 500 companies and startups.
2. Matt Shumer (@mattshumer_) Co-founder and CEO of OthersideAI, recognized in Forbes 30 Under 30, and creator of HyperWrite, a platform in AI-powered communication.
3. Logan Kilpatrick (@OfficialLoganK) Product leader at Google AI, working on Gemini, after previously leading developer relations at OpenAI.
4. Fei-Fei Li (@drfeifei) A leading AI researcher and professor at Stanford University, known for her work in computer vision and AI ethics.
5. Andrew Ng (@AndrewYNg) Founder of DeepLearning.AI, co-founder of Coursera, and an adjunct professor at Stanford University. He is a prominent figure in AI education and practical AI implementation.
6. Jeremy Howard (@jeremyphoward) Co-founder of answer.ai and fast.ai, focusing on democratizing AI education and making it accessible.
7. Demis Hassabis (@demishassabis) Co-Founder and CEO of Google DeepMind, pioneering AI and scientific discovery.
8. Yann LeCun (@ylecun) Chief AI Scientist at Meta and ACM Turing Award laureate, known for his work in deep learning and neural networks.
9. Andrej Karpathy (@karpathy) Founder of Eureka Labs and former member of Tesla Autopilot and OpenAI.
10. Sam Altman (@sama) CEO of OpenAI.
11. Marcus Borba (@marcusborba) Technology consultant, CEO of Borba Consulting, and AI enthusiast.
12. Ian Barkin Entrepreneur, investor, and author.
13. Pascal Bornet Author and data scientist.
14. Iain Brown Author and data scientist.
15. Nige Willson Speaker and advisor on AI and Machine Learning.
16. Ajay Pandey IT professional and AI evangelist.
17. Harold Sinnott Speaker, author, and digital consultant.
18. Amber Mac (@ambermac) Co-founder and CMO at Meshfire, an AI-powered social media management platform.
19. Angelica Lim (@robonerd) Has a Ph.D. in AI, Robotics, and Emotions, focusing on the human side of robotics.
20. Gary Marcus (@garymarcus) Scientist, bestselling author, entrepreneur, and AI contrarian.

It is important to note that the AI field is constantly evolving, and new voices are emerging all the time.

Creating a list of lesser-known but highly influential AI experts on X (formerly Twitter) can be challenging due to the subjective nature of "lesser-known" and the dynamic landscape of social media presence. However, based on recent discussions, posts on X, and insights from web sources about influential figures in AI, I’ve compiled a list of 20 individuals who have made significant contributions to the field but may not be as widely recognized as household names like Geoffrey Hinton or Yann LeCun. These individuals are often cited for their impactful work behind the scenes, innovative research, or contributions to major AI breakthroughs. Note that "lesser-known" is relative—some may have a growing following, but they are not yet mainstream celebrities in the AI space.

Below is the list with direct links to their X profiles where available. If a profile link isn’t active or publicly available, I’ve noted their contributions based on credible mentions. This list draws from sentiment and mentions on X as well as broader web information about AI contributors.

1. Alec Radford - Often credited with driving key developments at OpenAI, including work on language models. Described as a major yet under-recognized influence in modern AI.
Profile: https://x.com/AlecRad

2. Chris Olah - Known for pioneering work in AI interpretability and co-founding Anthropic, focusing on understanding neural networks.
Profile: https://x.com/chrisolah

3. Jason Wei - Contributed to Chain of Thought prompting and advancements in models like OpenAI’s o1, often cited for impactful research.
Profile: https://x.com/_jasonwei (Note: Activity may vary; based on mentions in X posts)

4. Ashish Vaswani - Lead author of the groundbreaking "Attention is All You Need" paper on Transformers, foundational to modern AI models like ChatGPT.
Profile: https://x.com/ashishvaswani (Note: Limited activity; recognized via historical impact discussions on X)

5. Sholto Douglas - Highlighted for significant behind-the-scenes contributions to Google DeepMind’s Gemini project, despite a low public profile.
Profile: https://x.com/_sholtodouglas

6. Greg Brockman - While known as OpenAI’s President, his technical contributions to reinforcement learning and coding are often under-discussed compared to his leadership role.
Profile: https://x.com/gdb

7. Gil Shamir - A machine learning researcher at Google, noted for impactful work that often goes unrecognized due to a minimal online presence.
Profile: Not publicly active on X based on current data; mentioned in posts for contributions at Google.

8. Roman Yampolskiy - An AI safety researcher and advocate for understanding existential risks in AI, offering unique perspectives often outside mainstream hype.
Profile: https://x.com/romanyam

9. Noam Shazeer - Co-author of the Transformer paper and a key figure at Google Brain, now at Character.AI, with deep influence on language models.
Profile: Not widely active on X; recognized via web and X discussions for historical impact.

10. Lukasz Kaiser - Another co-author of the Transformer paper, contributing to foundational AI architectures at Google.
Profile: https://x.com/lukaszkaiser (Limited activity; based on mentions)

11. Chelsea Finn - A researcher in robotics and reinforcement learning at Stanford, known for meta-learning contributions like MAML (Model-Agnostic Meta-Learning).
Profile: https://x.com/chelseabfinn

12. Oriol Vinyals - A key researcher at DeepMind, involved in AlphaStar and language models, often less highlighted than other DeepMind leaders.
Profile: https://x.com/oriolvinyalsml

13. Sara Hooker - Focuses on model compression and fairness in AI at Cohere, offering critical insights into making AI efficient and ethical.
Profile: https://x.com/sarahookr

14. Timnit Gebru - While gaining recognition for ethics in AI, her technical contributions to bias detection in datasets remain under-discussed.
Profile: https://x.com/timnitGebru

15. Anca Dragan - A robotics and human-AI interaction expert at UC Berkeley, influential in aligning AI with human values.
Profile: https://x.com/ancadianu

16. Pieter Abbeel - A robotics and deep reinforcement learning researcher, known for work on robotic learning, less hyped than pure language model experts.
Profile: https://x.com/pabbeel

17. Irina Rish - A researcher in neuroscience-inspired AI and continual learning, offering unique perspectives on scalable AI systems at Mila.
Profile: https://x.com/irinarish

18. Jeff Dean - While known at Google, his specific contributions to AI infrastructure (like TensorFlow) are often overshadowed by broader leadership roles.
Profile: https://x.com/JeffDean

19. Dawn Song - A professor at UC Berkeley focusing on AI security and privacy, contributing to safe AI deployment, often under the radar.
Profile: https://x.com/DawnSongtweets

20. Sergey Levine - A robotics and reinforcement learning expert at UC Berkeley, influential in policy learning for real-world AI applications.
Profile: https://x.com/svlevine

### Notes:
- This list prioritizes individuals who have made significant technical contributions (e.g., research papers, model architectures, or safety frameworks) but may not have the mass following of AI "celebrities" or corporate figureheads. Some, like Greg Brockman or Jeff Dean, are known in tech circles but are included for their less-discussed technical impact.
- Profile links are based on publicly available information as of the latest data. Some users may have private or inactive accounts, and their inclusion is based on mentions in X posts or web sources like lists of AI influencers (e.g., Feedspot’s Top AI Influencers).
- If a profile link doesn’t work or the user isn’t active, their influence is still noted based on community sentiment and documented contributions in AI research.
- The AI field evolves rapidly, so influence can shift; this list reflects a snapshot based on current discussions and historical impact as of late 2025 data.

Follow these accounts to gain insights into cutting-edge AI research, safety concerns, and niche areas like robotics or ethics that often don’t make mainstream headlines. If you’re looking for a specific focus (e.g., language models, AI safety, or robotics), let me know, and I can refine the list further!

Sure! Here is a list of 20 less-known but highly influential AI experts and researchers to follow on X (formerly Twitter). These individuals contribute significantly to AI research, ethics, and development but may not have the celebrity status of major figures:

1. @dr_feifeili - Fei-Fei Li, AI researcher and advocate
2. @rajiinio - Raji Sourya, AI ethics researcher
3. @ylecun - Yann LeCun, AI pioneer and NYU professor
4. @mmitchell_ai - Margaret Mitchell, AI fairness expert
5. @anita_hill - Anita Hill, AI policy and ethics (Note: confirm if Twitter handles are correct)
6. @timnitGebru - Timnit Gebru, AI ethics and bias researcher
7. @raquel_uhlmann - Raquel Uhlmann, AI research in NLP
8. @emma_strubell - Emma Strubell, AI climate impact researcher
9. @suchinpakrasi - Suchin Gururangan, NLP and Pragmatics
10. @RachelTBaker - Rachel Baker, computational linguist
11. @Miles_Brundage - Miles Brundage, AI policy research
12. @abeba_mem - Abeba Birhane, AI ethics and philosophy
13. @RachelThomasAI - Rachel Thomas, AI education and ethics co-founder of fast.ai
14. @jeremyphoward - Jeremy Howard, AI educator, co-founder fast.ai
15. @drbengio - Yoshua Bengio, deep learning pioneer
16. @amywebb - Amy Webb, tech futurist focusing on AI
17. @kaifulee - Kairan Lee, AI researcher and entrepreneur
18. @andaluciain - Lucia Specia, NLP and explainability
19. @francois_chollet - François Chollet, creator of Keras
20. @yoavfreund - Yoav Freund, machine learning researcher

If you'd like, I can provide brief descriptions or specific areas of expertise for each as well!