Delta Institute @ MLSys

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Delta Institute @ MLSys

Delta Institute @ MLSys

@DeltaInstitutes

Supporting exceptional researchers and engineers, from academia to industry and beyond.

Katılım Şubat 2025
2.7K Takip Edilen3.3K Takipçiler
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Delta Institute @ MLSys
Delta Institute @ MLSys@DeltaInstitutes·
Join us in welcoming the first cohort of Delta Fellows! 🎉 Congrats to the ~100 amazing researchers and engineers joining the Delta Institute family. We're excited for our fellows to get to know each other through dinners, retreats, and much more! Our fellows come from diverse backgrounds: undergrads, PhD students, high-frequency trading, big tech, startups, neolabs, frontier labs, and more. What brings them together is their kindness, intellectual curiosity, and intrinsic passion for their field. deltainstitutes.org/cohort1
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carmen
carmen@carmguti·
I’ve left A24 Labs. when we started, I was the company's only engineer, given a laptop and an empty git repo. now, it’s a talented team of artists, designers, and engineers building incredible things for the film industry. excited for what's next. stay tuned!
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Together AI
Together AI@togethercompute·
Seven papers. One research team. Together AI is heading to #MLSys2026 next week. Check out the work going from research to production on the AI Native Cloud 👇🏼
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Delta Institute @ MLSys retweetledi
Justin Bauer
Justin Bauer@realjustinbauer·
Our paper “Learning from Less: Measuring the Effectiveness of RLVR in Low Data and Compute Regimes” was accepted to #MLSys 2026! We introduce three procedurally generated, verifiable datasets—Counting, Graph, and Spatial Reasoning—to study RLVR under low-data / low-compute constraints. Key result: small, mixed-complexity datasets can be more data-efficient than large, easy ones.
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Snorkel AI
Snorkel AI@SnorkelAI·
Exciting work from our team, studying data efficiency for RLVR. These kinds of insights inform our dataset creation work for foundation model labs. Kudos to @realjustinbauer @pham_derek for this paper's acceptance to #MLSys 2026!
Justin Bauer@realjustinbauer

Our paper “Learning from Less: Measuring the Effectiveness of RLVR in Low Data and Compute Regimes” was accepted to #MLSys 2026! We introduce three procedurally generated, verifiable datasets—Counting, Graph, and Spatial Reasoning—to study RLVR under low-data / low-compute constraints. Key result: small, mixed-complexity datasets can be more data-efficient than large, easy ones.

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Mike Freedman
Mike Freedman@michaelfreedman·
1/ Graph-based vector search spends roughly twice as many I/Os retrieving the 20th-best result as the first, even though the first is usually the one that matters. Our MLSys 2026 paper with @jiananlu_nt (@Princeton) and @asafcidon (@Columbia) argues this is a metric problem before it is a systems problem. A thread, paper link below 👇
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Navya Nizamkari
Navya Nizamkari@NavyaNizamkari·
I will be attending #MLSys2026! Come talk to me about generative recommenders.
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Inception
Inception@_inception_ai·
Inception is heading to #MLSys2026 in Seattle next week. Two things worth your time: 1️⃣ Mon 5/18 at 2pm: lightning talk from @volokuleshov, co-founder of Inception. Come hear about a new generation of training and inference for diffusion-based language models. 2️⃣ Tues 5/19 evening: drinks + conversations with @akashpalrecha98, @apoorv_umang, @sawyerbirnbaum, and the team. 👇 Luma RSVP below
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Josh Tobin
Josh Tobin@josh_tobin_·
Today we’re launching Recursive (@Recursive_SI) We’re building AI that automates science, starting with the science of how to improve itself. I’ve spent a lot of time building AI products and tools for AI teams. One thing that has always stood out is how much progress depends on the experimental loop: deciding what to try, implementing it, running it, understanding what happened, and repeating. Recursive is automating that loop, safely and at scale. Excited to work on this with an incredible team across SF and London.
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Nancy Xu
Nancy Xu@nancycxu·
Congratulations to @Recursive_SI on announcing their $650M raise at a $4.65 billion valuation today, led by @GVteam, @nvidia, @AMD etc -- marking one of the largest formation rounds in history. @RichardSocher, @_rockt , @josh_tobin_, @jeffclune, @timshi_ai, Alexey Dosovitskiy, @CaimingXiong , @tydsh have build the ultimate team to tackle recursive superintelligence. Every few decades, a radical new technology accelerates an era of human innovation. I’m increasingly convinced self-improving superintelligence is the fire of the next innovation Renaissance. In a world where the narrative revolves around agents and job automation, what I love about @Recursive_SI’s mission is that they change the narrative -- knowledge discovery and innovation is not a zero-sum game. Thanks for letting me be a part of the journey. Just a few months ago, the Recursive team was working out of my living room. The sheer momentum and speed they've scaled at to date is a testament to the talent density and conviction of the team. The team converges the inventors of the biggest breakthroughs in the open-endedness, recursive self-improvement, and frontier models of the last decade: Darwin Godel Machine, Codex, DeepResearch, Genie 1/2/3, ImageNet, Vision Transformers, and more. Alongside the best researchers and leaders from @OpenAI , @GoogleDeepMind , @Meta , and more. Stacked and just getting started.
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Jeff Clune
Jeff Clune@jeffclune·
Thrilled to share that we founded Recursive to create AI that safely conducts experiments on how to improve itself in an open-ended process of endless, automated scientific discovery. As I wrote in my 2019 AI-generating algorithms paper, this will likely be the fastest path to superintelligence. Our work since has shown the power of this approach. Excited to scale up and improve upon ideas like the Darwin Gödel Machine, HyperAgents, ADAS, OMNI, ALMA, The AI Scientist, PromptBreeder, Rainbow Teaming, Automated Capability Discovery, and other work on open-ended and AI-generating algorithms. We’ve assembled a dream team of researchers and significant resources to pursue this vision. My amazing co-founders are pictured here, and we have an all-star team of founding members (we’re over 25 and growing). Please join us if you are interested! Follow our progress @Recursive_SI
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