People in AI You Should Be Following Right Now

Ever feel like AI is moving so fast that you are always one step behind?

Same here. I used to scroll through random updates, trying to “keep up.” But the real shift happened when I stopped chasing news… and started following the right people.

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Because in AI, people > headlines.

If you follow the builders, you see the future before everyone else does.

Here are some of the most interesting people working on what is next 👇

1. Builders Shaping the Future of Computer Use

This is where things get wild. These people are not just building tools. They are redefining how humans interact with computers.

Sky (OpenAI ecosystem)

• https://x.com/AriX
• https://x.com/conradev Built a Mac AI assistant. Think of it as the evolution of Workflow/Shortcuts, but way smarter.

Vercept (Anthropic ecosystem)

• https://x.com/ehsanik
• https://x.com/LucaWeihs A desktop-level “computer use” tool. You describe what you want, and it does it for you. No clicking. No manual steps.

Macrohard (xAI ecosystem)

• https://x.com/ArnoCandel
• https://x.com/ZiYiDou The name itself says everything. Opposite of Microsoft. They are trying to automate entire software companies.

Simular

• https://x.com/angli_ai Blending browser + computer automation. Think coworking with AI, but the AI actually works.

SI (Video-based computer action models)

• https://x.com/devanshpandey
• https://x.com/yudhister_
• https://x.com/G413N
• https://x.com/_neelr_ They are training models using video actions. Sounds simple, but this could unlock faster and more efficient real-world AI usage.

Tzafon

• https://x.com/simon_m_l
• https://x.com/noahlofq
• https://x.com/idohakimi Persistent environments that can operate GUIs continuously. Less “prompt → result” and more “AI that stays and works.”

👉 If you want to understand where operating systems are going, start here.

2. The Minds Behind OpenAI Codex

Everyone talks about AI coding tools. Few actually know who is building them.

These are the people shaping how developers will work in the next 5 years.

• https://x.com/thsottiaux Head of Codex. Strong background in human data and competitive programming.
• https://x.com/embirico Product lead. Built and scaled collaborative coding tools before joining.
• https://x.com/fouadmatin Serial builder. Focused on product + execution.
• https://x.com/mia_glaese VP of Research. Co-lead author on Sparrow. Deep research brain.
• https://x.com/gpeal8 Engineer behind Lottie. If you have used modern apps, you have seen his work.
• https://x.com/bolinfest Former Meta distinguished engineer. Built serious dev tooling.
• https://x.com/DanielEdrisian Founder of Alex (Cursor for Xcode). Now inside OpenAI.
• https://x.com/SQMah Researcher + builder. Mix of education and deep AI thinking.
• https://x.com/ajambrosino Design engineer. Focus on how AI tools actually feel to use.
• https://x.com/edbayes Product designer with strong creative background.
• https://x.com/nickbaumann_ Growth + GTM. Knows how products scale, not just how they are built.
• https://x.com/pashmerepat Previously led AI at Cline. Strong product + AI combo.
• https://x.com/acrognali Background in SpaceX and high-performance systems.
• https://x.com/rohanvarma First PM at Cursor. Deep in dev tooling evolution.

👉 If you are a developer, ignoring these people is a mistake.

3. People from OpenAI Labs You Should Not Miss

This group is slightly different.

Less noise. More experimentation. More weird, interesting ideas that later become mainstream.

• https://x.com/joannejang Leads Labs. Strong focus on model behavior and real-world applications.
• https://x.com/rtwlz Creator energy. Builds fun but powerful tools like Jmail.
• https://x.com/sharifshameem Previously built Lexica. Writes sharp, thoughtful posts.
• https://x.com/keyanzhang Worked on early ChatGPT group chat ideas. Product + engineering mix.

👉 Labs is where ideas are tested before the world even notices.

Why This Actually Matters

You can read AI news every day and still miss the big picture.

Or…

You can follow the people building it and see things early.

• You spot trends before they become obvious
• You learn directly from builders
• You understand direction, not just updates

That is the difference.

Conclusion

If you are serious about AI, your feed matters more than your tools.

Follow builders, not noise. Watch what they are doing, not just what people are saying.

And slowly, things start to make sense.

FAQ

1. Why should I follow individuals instead of AI news websites? Because individuals share real progress, experiments, and thinking. News usually comes after things are already built.

2. Do I need to follow all of them? No. Start with 5–10 people. The goal is signal, not overload.

3. How often should I check updates? Even 10–15 minutes daily is enough. Consistency matters more than volume.

Keywords

AI developers to follow Best AI Twitter accounts 2026 OpenAI Codex team Future of AI tools AI builders and researchers

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