Deepak Mishra

121 posts

Deepak Mishra

Deepak Mishra

@deepakmishraVC

Building @GraphonAI. Alum @umbc @msbgu. community @hackersnbackers

San Francisco, CA Katılım Ocak 2022
324 Takip Edilen240 Takipçiler
Deepak Mishra retweetledi
Graphon AI
Graphon AI@GraphonAI·
We talked to dozens of Fortune 500 AI leaders while building Graphon. One thing has become clear: enterprise AI doesn’t need bigger models, it needs better architecture. Systems built for text break under multimodal complexity. Teams aren’t leaving for marginal gains; they’re leaving because current architectures can’t keep up. A quiet inflection point is here. CC: @ArbaazK87777726, @deepakmishraVC
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Deepak Mishra
Deepak Mishra@deepakmishraVC·
Wife @sachiangle and I interrupted @sama at dinner and he was so nice about it! Would love to show you how @GraphonAI has solved for long context multimodal ai Sam! 😄
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Archive
Archive@ArchiveExplorer·
These bot make $15-50k per month on polymarket bot analyze fights in real-time and place bets before crowd reacts every punch and moment makes a big difference it uses computer vision to analyze the fight detects events and processes at 50 FPS with ~200-400 ms latency predicts outcome before market reacts example: Joshua vs Paul fight bot sees Joshua landing heavy punches while crowd hasn't reacted yet odds unchanged bot immediately buys Joshua win 10-15 seconds later when crowd reacts, it sells bot architecture: - Forecaster - evaluates event probability using visual data - Critic - identifies missed context - Trader - makes buy/sell decisions and position sizing to create such a bot you need access to direct video feed of the fight not TV broadcast, but YOLO v8/v9 for real-time detection OpenCV for video stream processing GPU acceleration is critical for low latency UFC events on Polymarket roughly 8-12 per month with that volume the bot could easily make up to $50k
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Deepak Mishra
Deepak Mishra@deepakmishraVC·
We were pleasantly surprised by the engagement from the developer community. Thanks @agihouse_org @GoogleDeepMind for being great co-hosts. Stay tuned for what’s coming next year 👀
Graphon AI@GraphonAI

Hello world, we’re @GraphonAI We showed up to @agihouse_org’s Gemini Build Day to see if devs would care… Turns out 1 in 4 teams built on Graphon 👀 • “Better than other model providers on factual queries and quality” (their words, not ours) • Used alongside Gemini for things like drug discovery • $1k prize → tie between two Graphon-powered teams All projects here: app.agihouse.org/events/gemini-… More to come from us next year 🙂

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Chris Barber
Chris Barber@chrisbarber·
I made another NeurIPS 2025 hiring list. More teams hiring research engineers, MLEs, SWEs: @julianibarz at Tesla Optimus @nlpmattg at @ScaledCognition @msalbergo at Kempner Institute at Harvard @chinwei_h at MSFT Research @apsarathchandar at Chandar Lab @stash_pomichter at @dimensionalos @luke_drago_ at @WorkshopLabsPBC @Yong18850571 at Thinking Machines @real_ioannis, @MishaLaskin, @FlintCasey & @IrwanBello at Reflection AI @mgalle at Cohere @daylenyang at Waymo @ok_ikaros at @spellbrush @apjacob03, @EugeneVinitsky, @ChristosTzamos, @justintchiu & @zzzzgq at Percepta @zw_zachwang & @maxwshen at Genentech @vishrav at MSL @ryan_kidd44 at @MATSprogram @grx_xce at Design Arena @preslav_nakov at MBZUAI @BhavinJawade at Netflix @JiarenCai & @olive_jy_song at MiniMax @jefffhj & @LiangchenLuo at xAI @KrishnaPillutla at IIT Madras @ravi_sola & @DonalByrne2 at @PrimaMente @jocelynqchen at U of Alberta @serenaa_ge at @datacurve_ai @brianryhuang & @thenickmoy at Antigravity, Google DeepMind @junze_liu at Amazon @amir_habibian at Qualcomm @ismaililkanc at AITHYRA & TU Vienna @MardaniMorteza at Nvidia
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Deepak Mishra
Deepak Mishra@deepakmishraVC·
Come build on top of @GraphonAI's Relationship Systems Models. Pumped to join @agihouse_org @Google @yutori_ai at Gemini 3 Build Day on Dec 13.
AGI House@agihouse_org

Join our Gemini Build Day on 12/13 at AGI House with @Google, @GraphonAI @yutori_ai, and @agihouse_org. 🤖 Build with Gemini 3, Google’s newest multimodal model 🛠️ Create agents, multimodal copilots, and AI-native workflows 🚀 10 hours of hacking, demos, and rapid prototyping 🏆 50k / 35k / 15k Google Cloud Credit prizes 👥 Builders, researchers, founders, and engineers RSVP: app.agihouse.org/events/gemini-…

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jpa
jpa@josephpalbanese·
new project: cleo (kindle + llm) 📚 cleo is an ios app that pairs whatever book you're reading on kindle with an llm (o3) — ask questions, get recaps/summaries, or listen/discuss (think audiobooks but interactive). the llm has context on exactly where you are + the book contents. best part? no complex setup needed. just link your kindle account and that's it. it just works. reply / rt for testflight invite 👇
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Deepak Mishra retweetledi
Martian
Martian@withmartian·
🚨New Paper Alert! 🚨 Our ICML 2025 paper (led by @Narmeen29013644) shows how small models can help steer and align much larger ones by building “bridges” between them.🧵👇
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Deepak Mishra
Deepak Mishra@deepakmishraVC·
@RailwaySeva @DrmJhansi @DrmJhansi Please Help! Please arrange an alternate train from Naini or Prayagraj junction to reach Jhansi. Our next train is Mangla Express at 12pm to go to Margaon
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Chief AI Officer
Chief AI Officer@chiefaioffice·
New market maps covering the latest AI startups: 1. AI agents from Hitachi Ventures
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Deepak Mishra retweetledi
Hackers and Backers
Hackers and Backers@HackersNBackers·
Hackers & Backers hosted another remarkable event, this time on Data Center Energy Management. Here are a few key takeaways that stood out:
Hackers and Backers tweet mediaHackers and Backers tweet media
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Deepak Mishra retweetledi
Martian
Martian@withmartian·
OpenAI's top safety researchers quit last week. It's easy to say this is OpenAI's fault, but it's not -- it's incentives. Capitalism and safety aren’t aligned. And capitalism always wins. To make progress on safety, we need to align those incentives. Here’s how we do it 🧵
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Deepak Mishra retweetledi
Martian
Martian@withmartian·
Neural networks are notoriously opaque. Let’s change that. At Martian, we’re developing methods to make black-box models transparent, editable, and verifiable. Called “model mapping”, it powers 1K+ businesses through our model router. A sneak peek of what we’re working on:
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