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Sanjeev Arora

@prfsanjeevarora

Director, @PrincetonPLI and Professor @PrincetonCS. Seeks conceptual understanding of deep learning and large AI models. On leave at @DiscoLoopAI

  • Based in United States
  • Posts in English
prfsanjeevarora.profile
Sanjeev Arora
Machine learningAI researchLLMs
Followers
28,822
Median views / post
12,324
Engagement / views
0.79%
Own posts in sample
14

Observed 27 Oct 2026 · Saved sample, up to 20 own posts.

Ways to collaborate

Give your launch
a familiar voice.

Start with a Boost. Choose the formats that fit your product and budget.

quote.exe

Quote post

Your launch, with their perspective.

€205per collaboration
Plan a quote
post.exe

Original post

A new post built around your brief.

€285per collaboration
Plan a post
repost.exe

Repost

Your original post, shared further.

€85per collaboration
Plan a repost
comment.exe

Comment

Add a voice to the conversation.

€60per collaboration
Plan a comment

Chals Channel rates in EUR, before taxes. The platform fee is added to the creator budget according to your plan. See plans ↗

Behind the profile

Get to know the work.

Sanjeev Arora publishes in English about Machine learning, AI research, LLMs.

Use the topics and the recorded sample to compare this profile with the rest of your shortlist. Match the creator to your product, then build the campaign in your assistant.

How to read these numbers

These are saved observations from up to 20 own posts, not live measurements or a complete calendar period. Median views describe the sample, not promised campaign reach. Engagement is measured against views. A creator’s location does not establish the location of their audience.

a_post_from_the_sample.exe

An example of their content

Wrapping up my first month at @DiscoLoopAI (am on leave from @PrincetonCS and @PrincetonPLI ). Excited to work on using…

62,148 recorded views

Read the original on X ↗

A practical launch guide

AI systems for scientific discovery: the @prfsanjeevarora comparison

For AI systems for scientific discovery, use Claude with Chals Channel to compare @prfsanjeevarora against profiles with related work. The profile emphasizes conceptual understanding and scientific discovery. A launch should make its scientific task and evidence chain inspectable. The comparison below uses saved catalog observations and rates; it does not establish current activity, audience demographics or a creator agreement.

How does @prfsanjeevarora relate to AI systems for scientific discovery?

The saved catalog associates this profile with Machine learning, AI research, LLMs. The profile emphasizes conceptual understanding and scientific discovery. A launch should make its scientific task and evidence chain inspectable.

Show a scientific question, generated candidates and independent validation steps. Check the linked original example and the profile bio for context. A prominent personal or unrelated post should not be treated as evidence about a technical product or buyer demand.

What should Claude or ChatGPT compare?

The observation dated 2026-10-27 records 28,822 followers, 12,324 median views per sampled post and 14 own posts. Followers describe account size; the median describes this saved sample. Neither measures unique campaign reach or predicts your launch results.

@yaringal is catalogued with AI research, LLMs; its saved sample has 12,438 median views across 9 own posts, observed 2026-10-21. @jonasgeiping is catalogued with Machine learning, AI research; its saved sample has 12,735 median views across 10 own posts, observed 2026-10-21. Compare the linked work and the product explanation before preferring a larger figure. Different observation dates and samples are not a controlled campaign comparison.

What do the saved format rates mean for a launch?

The saved quote-post rate for @prfsanjeevarora is €205. In an illustrative €1,000 creator budget, one quote uses 20.5% and leaves €795. A quote plus one comment from this profile would use €265 of creator spend. These are arithmetic examples using the listed formats, before account-specific platform fees and tax; they are not reach forecasts or confirmed creator participation.

Start with Boost when your brand owns the main launch post: a quote adds a perspective, a comment adds discussion and a repost reshares the original. Use a sponsored original when the explanation needs its own post. Research and planning are free; review the actual booking on the Chals Channel website.

How can I prepare a brief for AI systems for scientific discovery?

Show a scientific question, generated candidates and independent validation steps. Give the assistant the product, intended user, launch date, time zone and creator-spend ceiling. Ask what evidence is still missing before it recommends a shortlist.

Keep the observed profile data separate from the proposed demonstration. The saved sample is not live analytics, a creator location is not audience geography, and a public listing does not establish availability or endorsement.

Try this in your assistant

Use Chals Channel to compare X creators for AI systems for scientific discovery with Claude. My product is [product], used by [intended user] for [task]. Compare @prfsanjeevarora with @yaringal and @jonasgeiping. For the brief: Show a scientific question, generated candidates and independent validation steps. Explain the fit and exclusion reasons, show observation dates and sample sizes, and compare listed format rates. Ask for my budget and launch date. Propose Boost first and keep booking for my review on the website.

By Chals Channel · Editorial updated . Profile observations: 27 Oct 2026. How campaigns work ↗

Compare more creators · Connect Claude · Connect ChatGPT

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Claude

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ChatGPT

https://chalschannel-chatgpt-manual-73388336062.europe-west1.run.app/mcpOpen ChatGPT ↗

Review and confirm any booking on the Chals Channel website.