Swaroop Mishra
1.7K posts
Swaroop Mishra
@Swarooprm7
AI enthusiast
California, USA Katılım Kasım 2019
891 Takip Edilen13.5K Takipçiler
@toshali_m I feel architecture, loss functions, data, training algorithm… almost everything.
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@Swarooprm7 If we changed the core objective from usefulness to long horizon reasoning, which part of the stack would need to change first, the data, the reward signal, or the deployment constraints?
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The more I understand the LLM stack, the clearer it becomes how deliberately the underlying distribution is shaped in multiple ways.
It would be intriguing to consider how these design choices might differ in a parallel universe with alternative objectives and constraints.
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Swaroop Mishra retweetledi
Sometimes a single person telling you "Aim high, you can do it!" can change your life forever
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FOMO of not staying up to date with the latest SWE tools is SO REAL.
Every one I meet these days in Bay Area talk about it.
Andrej Karpathy@karpathy
I've never felt this much behind as a programmer. The profession is being dramatically refactored as the bits contributed by the programmer are increasingly sparse and between. I have a sense that I could be 10X more powerful if I just properly string together what has become available over the last ~year and a failure to claim the boost feels decidedly like skill issue. There's a new programmable layer of abstraction to master (in addition to the usual layers below) involving agents, subagents, their prompts, contexts, memory, modes, permissions, tools, plugins, skills, hooks, MCP, LSP, slash commands, workflows, IDE integrations, and a need to build an all-encompassing mental model for strengths and pitfalls of fundamentally stochastic, fallible, unintelligible and changing entities suddenly intermingled with what used to be good old fashioned engineering. Clearly some powerful alien tool was handed around except it comes with no manual and everyone has to figure out how to hold it and operate it, while the resulting magnitude 9 earthquake is rocking the profession. Roll up your sleeves to not fall behind.
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@DoRA_IITK Thanks @DoRA_IITK -- appreciate the kind words from our @IITKanpur family, and the important foundation/values instilled by our alma mater! 🙂
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We are proud to share that our distinguished alumnus Prof. Mohit Bansal (BT/CSE/2008) has been named a 2025 Fellow of the Association for Computational Linguistics (ACL) in recognition of his significant contributions to multimodal NLP foundations, faithful language generation and summarization, and model interpretability methods.
The Association for Computational Linguistics (ACL), USA is the leading international, top-tier conference and professional association for NLP and language processing (incl. LLMs) research. Through its Fellows program, ACL honours members whose work demonstrates exceptional scientific and technical excellence, service to the community, and broader educational or outreach impact.
This prestigious recognition reflects Prof. Bansal’s impactful work in computational linguistics and artificial intelligence.
We warmly congratulate Prof. Bansal on this remarkable achievement and wish him continued success in his academic and research journey.
#IITKanpur #AlumniPride #DistinguishedAlumnus #ACL #IITKanpurAlumni #GlobalImpact
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@Swarooprm7 What do you mean? @bcherny maybe could answer.
My understanding its a harness for claude models at a very high level. I don’t know the configuration or input/context/tool differences
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How is Claude Code different from Claude agents served elsewhere e.g. Cursor?
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Pulkit is now hiring for interns and PhD students for summer 2026 at @iitmadras.
Please help spread the word.
Pulkit Verma@pulkit_verma
Excited to announce that I recently joined the Dept. of CSE, @IITMadras as an Assistant Professor. This couldn't have been possible without the support of my mentors, peers, friends, & family. Special shoutout to @sidsrivast & @julie_a_shah for their support & guidance. (1/n)
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Happy New Year 2026 Everyone 🎉
Grateful to everyone for your presence in my life😍. Looking forward to the new year.
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AI race is a test match, don’t confuse it with T20 cricket 🏏.
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Swaroop Mishra retweetledi
I've been getting lots of academic job search questions from friends lately, so I put together my timeline, materials, and a few reflections + tips from last year. Hope it’s helpful! (Inspired by @MaartenSap's blog)
akariasai.github.io/2025/11/25/job…
TL;DR
- Start early; job talks take longer than you think.
- Schedule interviews strategically and protect your energy.
- Leave yourself real time to evaluate options, including whether a gap year makes sense.
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Great opportunity for students and AI enthusiasts in India:
My old roommate and good friend @pulkit_verma just returned to India after completing postdoc from @MIT_CSAIL . He has joined @iitmadras as a faculty. Don’t miss applying to work with him. He is super strong and we have written papers together.
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Swaroop Mishra retweetledi
This shouldn't work... but it does!
Researchers are now directly optimizing policies using LLMs, and here's the fascinating part: every policy update is fully interpretable because the LLM explains its reasoning before outputting new parameters. You can even jumpstart learning by feeding it domain knowledge (like a table tennis strategy guide), so it doesn't start from scratch.
Super cool work presented last week at #NeurIPS2025 by Yifan Zhou, Sachin Grover, Mohamed El Mistiri, @KamaleshKali777, Pratyush Kerhalkar, @Swarooprm7, Neelesh Kumar, Sanket Gaurav, @aranoya and @asurobot
This made me think: we need a conference dedicated to "improbable solutions that actually work." I'm proposing ICDE: the International Conference on Defying Expectations. 😉
What counterintuitive approaches have you seen succeed in your work?
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Swaroop Mishra retweetledi
Happy Birthday, Geoffrey Hinton! Hinton received the 2018 #ACMTuringAward for conceptual and engineering breakthroughs that have made deep neural networks a critical component of computing. In 2024, he won the Nobel Prize in Physics: #_ftn3" target="_blank" rel="nofollow noopener">amturing.acm.org/award_winners/…
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Highly recommend to apply and work with the awesome @YiTayML and friends.
This team is going to do some cool research in future, don’t miss it if you are in Singapore!
Yi Tay@YiTayML
Happy to share that the @GoogleDeepMind Gemini team is starting a new research team in Singapore! This new team will be focused on advanced reasoning, LLM/RL and improving bleeding edge SOTA models such as Gemini, Gemini Deep Think and beyond. 🔥 This team will be led by yours truly and reports up to Quoc Le (@quocleix)'s broader team in Mountain View which was recently in the center of both IMO gold medal and ICPC gold medal breakthroughs with Gemini Deep Think, amongst many other significant Gemini advancements. 🚀 We’re starting out with a very small but intensely capable force because talent density is key over anything else in the LLM era. Over the past few months, we have gone around and gathered the best of the best talent (in the region and beyond) and I’m confident we’ll have a super cracked team very soon. If you are interested in joining and have made truly exceptional contributions in any domain or area, (engineering and/or research etc) please contact me. This is quite an exciting time, with the Gemini / GenAI team at Google Deepmind leading the charge at the frontier. This is also the best opportunity to be on the critical path to AGI from the sunny island of Singapore. 🏝️ Many thanks to leadership support from @quocleix @JeffDean @benoitschilling, @EugenieRives and @demishassabis for the support of this team. Wonderful and fun image generated by Nano Banana 👇
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Thrilled to share that @annadgoldie and I are launching @RicursiveAI, a frontier lab enabling recursive self-improvement through AIs that design their own chips.
Our vision for transforming chip design began with AlphaChip, an AI for layout optimization used to design four generations of TPUs, data center CPUs, and smartphones. AlphaChip offered a glimpse into a future where AI designs the silicon that fuels it. Ricursive extends this vision to the entire chip stack, building AI that architects, verifies, and implements silicon, enabling models and chips to co-evolve in a tight loop.
We sat down with WSJ’s @berber_jin1 to discuss Ricursive: wsj.com/tech/this-ai-s…
Ricursive Intelligence@RicursiveAI
Introducing Ricursive Intelligence, a frontier AI lab enabling a recursive self-improvement loop between AI and the chips that fuel it. Learn more at ricursive.com
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