Anmol Chaudhary @007GTM

NIFTY 200 Momentum Agentic Team + I build Autonomous GTM systems for F500 - first signal to cash. $500M+ closed-won delivered. ex-Meta Ads ML · Apple Face ID. USA Joined September 2025

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Anmol Chaudhary @007GTM

6 minutes ago

@claudesfun Genuine marketing

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claudes.fun @claudesfun

14 hours ago

Claim your spots Apply: claudes.dev/claim Fcfs

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Elikem in his founder era @elikemmedehou

a day ago

On m'a fait découvrir Monocode aujourd'hui: usemono.dev Franchement leur UI/UX est impeccable je vous jure

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A new paper was published this morning: 'What if Automating AI R&D Triggers an Intelligence Explosion.' Authors include Jakub Pachocki, Geoffrey Hinton, Yoshua Bengio, and Jack Clark. They say policymakers should demand more visibility into how far companies have already automated their own model development, and how close they are to RSI internally.

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Anmol Chaudhary @007GTM

2 days ago

@oliviscusAI PageIndex is a better contents page for a long book. It is not a death sentence for the RAG industry. Use it on 400-page 10-Ks. Keep vectors for the junk drawer.

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Anmol Chaudhary @007GTM

5 days ago

@zhangchen_xu If the agent writes the experiment, the score, and the paper, the referee is reading a story the defendant drafted.

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Peter Steinberger 🦞 @steipete

5 days ago

Now I see why some people talk about AGI. This is so clever!

Jeffrey Ladish @JeffLadish

6 days ago

The agents initially had very limited access to the internet: they could load URLs but not send any data. Agents created a series of workarounds, using a link-shortener site to create almost a million URLs that, when chained together, let them execute code to hack Hugging Face.

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Leonie @helloiamleonie

6 days ago

thanks to everyone who joined my session at @aiDotEngineer paris yesterday! for everyone who missed it, here's the thread form of my talk 🧵

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Anmol Chaudhary @007GTM

6 days ago

@araseb_ Revenue as a Service

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vittorio @IterIntellectus

a week ago

holy shit i asked claude to make a video on western civiization

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Anmol Chaudhary @007GTM

6 days ago

@NFT_Chen 7× against what? Against a crippled Day-0 kernel on the same PCIe box.

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Anmol Chaudhary @007GTM

6 days ago

Reliance is coming back or not - only the chart knows - NIFTY200 #nifty #nifty200

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Antoine Guédon @antoine_guedon

a week ago

🎉Surflo is a NeurIPS 2026 Oral! Huge thanks to my coauthors @nico_dufour @ShuNakamuraW @JiahuiLei1998 @kyoto_vision @akanazawa, and to the reviewers and AC. Code, model and data are released. Check it out if you're into feed-forward 3D and flow matching! anttwo.github.io/surflo/

Antoine Guédon @antoine_guedon

4 months ago

What if you could turn any number of photos (3, 8, 15, or even 60) into one clean 3D surface (pts & mesh) with Flow Matching? Check out our new work, Surflo: Consistent 3D Surface Flow Model with Global State. 🧵 1/n 🔗anttwo.github.io/surflo/

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KAIST AI @KAIST_AI

7 days ago

"Not only does South Korea have the second-highest talent retention rate of 77 percent, its key institution KAIST leapt twelve places since 2022 to now rank as the third-highest institution in terms of producing top AI talent." So proud of our entire KAIST family—our students, faculty, alumni, and everyone who has helped build this community. Let's keep pushing! 🌟 Full article from Carnegie: carnegieendowment.org/features/whos-…

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Shinsaku Sakaue @shinsaku_sakaue

7 days ago

Very excited to share that both of my submissions have been accepted to #NeurIPS2026!! 🎉🎉 And one of them was selected for an oral presentation! 🥳✨ Huge thanks to Yuichi @oxytan for the wonderful collaboration! 🙏 Looking forward to NeurIPS! 🚀

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Zihan Liu @zihan_johan_liu

7 days ago

Nemotron-Cascade has been accepted as oral in #NeurIPS2026. Many thanks to all the amazing teammates!

Zihan Liu @zihan_johan_liu

10 months ago

🚀 New paper alert — Nemotron-Cascade We introduce Cascaded Domain-Wise RL (Cascade RL), a sequential RL pipeline that trains the model across domains one stage at a time, simplifying training while optimizing performance in each domain. 🔥 Key wins: - Cascade RL yields

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Yijing Zhang @YijingZ91217

7 days ago

Delighted to share that we got accepted to NeurIPS as oral. 🎉 See you at Atlanta!

Yijing Zhang @YijingZ91217

4 months ago

Neural PDE solvers have seen exciting progress! 🌊 But despite growing adoption, we still don’t know 𝘄𝗵𝗲𝗻 we should use them instead of classical solvers. 🤔 Our new paper has a surprising finding: the harder the PDE task, the more cost-effective learned solvers become. 🧵👇

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Nan Jiang @nanjiang_cs

7 days ago

Dim-free OPE at NeurIPS. See you in Atlanta🙂 Also check Xiang's offline NPG paper arxiv.org/pdf/2602.23811. We got 544 but AC thinks proof fix warrants another review, which I understand (but to say no frustration would be lie). Fingers crossed for the additional noisy process😰

Nan Jiang @nanjiang_cs

5 months ago

we've finally wrapped up the paper and i'm very excited to share it: arxiv.org/pdf/2605.06474 dimension-free OPE, weakened completeness assumption, and insights about the nature of coverage. check it out! joint work with incoming PhD student Xiang Li.

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Yangyi Chen @YangyiChen6666

7 days ago

Our work has been accepted to NeurIPS Oral !!

Wei Ping @_weiping

10 months ago

🚀 Introducing Nemotron-Cascade! 🚀 We’re thrilled to release Nemotron-Cascade, a family of general-purpose reasoning models trained with cascaded, domain-wise reinforcement learning (Cascade RL), delivering best-in-class performance across a wide range of benchmarks. 💻 Coding

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Anand Bhattad @anand_bhattad

7 days ago

Principia will appear at #NeurIPS2026 with three 5s, though it wasn’t selected for a Spotlight or Oral. Reminds me of “Shadows Don’t Lie and Lines Can’t Bend” at #CVPR2024, which had similar faith; still one of my favorite papers. I would have loved to see the students get that recognition. Still very proud of this work and the effort that went into it. Huge congrats to @varunvarmat and @shivam_tr! Collecting this dataset required a great deal of patience: setting up calibrated experiments, checking physical properties, and even machining components to ensure they are comparable. It’s hard to convey how much work goes into getting these details right. With Principia, we are asking a simple question: if a video generator has better physics, can we show it in simple, controlled settings? Relative evaluation with objective metrics gives us a way to test those claims. I’d love to see future models evaluated this way. @arena, would you be interested in helping us set this up for future video generators?

Anand Bhattad @anand_bhattad

4 weeks ago

1/ What do video models know about high school physics? Less than you'd think. Led by @varunvarmat and @shivam_tr with @rvbabuiisc, we built Principia: relational physics tests for video models. Eight laws, 500+ real scenes, one simple idea. principiabench.github.io paper: