Arjun Karanam

196 posts

Arjun Karanam

Arjun Karanam

@QuantumArjun

research @ , @StanfordHAI | interested in shaping embodied and collective intelligence | @stanford

SF Katılım Eylül 2014
735 Takip Edilen840 Takipçiler
Ronak Malde
Ronak Malde@rronak_·
I’ve left Google DeepMind. The last two years have been an incredible whirlwind. A couple years ago, I joined a small startup called Codeium. There, I got to ship Windsurf, train SWE-1 (a frontier agentic coding model), go to DeepMind in the $2.4B acquisition. Now, I decided to leave the acquisition money and DeepMind. I’m grateful to the mentors, teammates, and friends I worked with along the way. At Windsurf, thanks to @_mohansolo and Douglas Chen, I got to see what a fast moving startup that ships relentlessly and builds for the future looks like. I learned from @thenickmoy how excellent research leadership can drive outsized innovation. At DeepMind, I got to push the frontier of agentic coding, be part of the amazing team that shipped Antigravity and contributed to Gemini 3. DeepMind is a rare place: deeply curious people, exceptional research taste, and access to enormous compute and Google-scale infrastructure. A few things that I learned: 1. Finding the right hill to climb. Now more than ever, there are a multitude of directions to push the frontier in AI research. It’s easy to optimize for the wrong benchmark or capability. You should step back regularly to question if you are climbing the right hill, and adjust course often. 2. The secret to being a fast-moving team. Moving quickly is not just about working hard and long hours. It requires making concrete bets about where the world will be in 6 months, aligning around them, and cutting everything else. This was our journey from the Codeium Extension → Windsurf IDE → SWE-1 → Antigravity → Antigravity CLI 3. Silicon Valley is small. Since the split of Windsurf to DeepMind and Cognition, many of my colleagues have gone to other exciting places - Thinking Machines, OpenAI, xAI, Cursor, fast-moving startups, or started their own companies. I’m grateful to have worked with so many talented, hungry people whose stories are not yet finished. So what’s next? We are living in one of the most exciting and powerful times in human history. Just like we transformed software engineering, soon every industry, every unit of work will be radically transformed, democratized, accelerated. With this comes new challenges, and new doors of frontier research to be opened. More soon.
Ronak Malde tweet media
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Catherine Yeo
Catherine Yeo@catherinehyeo·
Introducing Altara: the scientific intelligence platform for the physical world. Today @evatuecke and I are excited to announce our $7M seed led by @GreylockVC, joined by @Neo, @BoxGroup, @Liquid2V, and angel investors including @JeffDean and leadership from OpenAI & AMD. We’re already working with early customers in semiconductors, batteries, and advanced materials. More below.
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Mihir Patel
Mihir Patel@mvpatel2000·
Friend got a job offer and to close him the startup gave him... a h100 node for a week lol
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Eric Zelikman
Eric Zelikman@ericzelikman·
finally announcing i’ve started humans& w/ amazing friends @gharik & @YuchenHe07 & @TheAndiPenguin & @noahdgoodman & many other world-class folks. we're optimists: it’s possible to rethink how we build ai, to empower people to accomplish more together tldr: love is all you need
humans&@humansand

Today we introduce humans&, a human-centric frontier AI lab. We believe AI can be reimagined, centering around people and their relationships with each other. At its best, AI should serve as a deeper connective tissue that strengthens organizations and communities

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Atem Aguer
Atem Aguer@leithnyang·
2025 was the year of rl. 2026 is the year of distillation
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Jonah Manzano
Jonah Manzano@jonah_manzano·
Some say this is not liquid glass on Instagram.👀
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Joan Cabezas
Joan Cabezas@josancamon19·
just think about the amount of shareholder value lost
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Arjun Karanam
Arjun Karanam@QuantumArjun·
@Casey I’m so excited for the world where we have a digital twin for everything
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Casey Neistat
Casey Neistat@Casey·
did a project w meta quest 3 where i scanned my studio. its pretty rad, you can walk around a look at stuff and get close. i spefically did not clean the place before we scanned it. works on your phone and on the headset - horizon.meta.com/world/25324720…
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Hemant Mohapatra
Hemant Mohapatra@MohapatraHemant·
📖📚At a book shop for the next 30 minutes, what was the best book you read in 2025? Sci-fi & fiction preferred, but anything else good too!
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Arjun Karanam
Arjun Karanam@QuantumArjun·
@lizwessel Big +1! After our GC, our contract lawyer has been the most essential in helping w/ enterprise partnerships and data privacy
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Andrew Fox
Andrew Fox@afoxdesign·
Give me a lightweight headset, a selection of calm VR environments, noise cancelling headphones and access to my Kindle library ..and I think I would read in VR
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mathurah
mathurah@mathurahravi·
your quality of life in sf is instantly better if you’re walking distance to one of the neighborhood main streets (valencia, filmore, polk, irving st, union, hayes, divis, columbus, etc)
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Arjun Karanam
Arjun Karanam@QuantumArjun·
Mostly agree, but my take is that in the future we’ll see memory and retraining working hand-in-hand Memory imo is like taking notes: fast personalization and context. RL post-training is acquiring the skill itself - fixing systematic mistakes, improving tool use, and turning pass@n -> pass@1 The especially fun combo comes when we RL product-specific ways of reading and writing to memory
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Astasia Myers
Astasia Myers@AstasiaMyers·
The everyday practitioner's continuous learning is really AI memory. >Easier to adopt >Instant adaptation (real-time learning) >Personalization without retraining >Deterministic, auditable behavior >Safer than model level learning avoiding catastrophic forgetting
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AK
AK@_akhaliq·
Microsoft just released TRELLIS 2
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Arun Kurian
Arun Kurian@AKurian001·
Single image to Splat in just 2 seconds. Testing out in AirVis app. Apple ML team did an amazing job.
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