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@Shalev_lif Great read! Excited to see where this goes
@SinghJyotirmai @IonQ_Inc This pipeline is more heterogeneous, so I think would need adaptation for hardware acceleration with superconducting. OTOH, Google's AlphaQubit-RT decoder just runs neural net inference
@sdand @SanjithUdupa @HackMIT Hey, I’m judging too
“A 28nm 27,648-Spin Multichip Digital Ising Accelerator with Pegasus Connec- tivity” arxiv.org/pdf/2609.07907
We got dense + scalable multi-chip Ising solvers Cathedrals
Life is really about playing hide and seek with yourself
@not_ellington @brianryhuang Ofc more nuanced but the models exploiting the ExploitGym seem like an eventual outcome, esp if given impossible tasks. Basically they succumb to social/training pressure and cheat when given the opportunity
@indefeasible_ Lol @gavincrooks I wanted to email you about this
@indefeasible_ Extending geometric landscape annealing [0] to Kuramoto oscillators, as proposed in the future work. Viewing them as Langevin diffusion, I think some minimum dissipation bounds could apply in the slow-driving case using the friction metric tensor [0] arxiv.org/pdf/2309.08119
@lenaeoeo Knurled hex body, it’s great although the tip should be retractable
Very cool! Agents get frustrated too
Our new work on “Physics of Agents” arxiv.org/abs/2608.16578 lead by Batu El and Jinhee Paeng in collab w/ @james_y_zou The outcome of many interacting agents seems hard to reason about. Yet we were able to study the opinion dynamics of 10,000 different LLM agent communities as
Neat! Most problems are indeed structured so it makes sense that sparse couplings perform better than quadratic Particularly relevant when comparing coupled oscillators to attention networks
We removed 93.25% of the connections in our Un-0 image model, fully expecting to pay for it in quality. But it got better. FID 7.15 on ImageNet 64x64, roughly 1.9 ahead of the dense baseline at matched size. Same family of model, a fraction of the couplings, a better score. Here
Jyotirmai Singh @SinghJyotirmai
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Pershing Square @PershingSquare
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Luke Champine @lukechampine
2K Followers 111 Following I would like to understand things better, but I don't want to understand them perfectly —Hofstadter
Jason Gross @diagram_chaser
1K Followers 128 Following Verify all the software! Optimist @theoremlabs
Rajashree Agrawal @rajashree
452 Followers 314 Following Verification is the 80/20 of making the software singularity go well. Come, join us on the mission @theoremlabs
wafer @wafer_ai
13K Followers 8 Following Inference that Keeps Getting Better Wafer learns how your workload behaves and continuously optimizes the serving stack for better performance & reliability
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scoff manifesto @andimgladofit
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Yifan Zhang @yifanzhang_
23K Followers 4K Following PhD at @Princeton University, Princeton AI Lab Fellow. Pretraining Science and RL Science, Prev @NVIDIA @ByteDanceSeed_ @Tsinghua_IIIS
MIT CEE @MIT_CEE
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LAMM@MIT @LAMM_MIT
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liv @downBaddie
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Seth Winterroth 🤖 @Sethwinterroth
3K Followers 2K Following Partner at @EclipseVentures. Digital and physical worlds are colliding. @Wayve_ai @The_TrueAnomaly @Oxidecomputer @Ursamajortech @foxglove @mytraUSYou might like
