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Telegram-каналлар оламидаги сизнинг йўлбошчингиз.

Statistika Saralanganlar

Just links

Kanal geosi va tili: Rossiya, Inglizcha

Toifa: Ta’lim

That's just link aggregator of everything I consider interesting, especially DL and topological condensed matter physics. @EvgeniyZh

Bog‘liq kanallar | O‘xshash kanallar

Kanal geosi va tili

Rossiya, Inglizcha

Toifa

Ta’lim

Statistika

Postlar filtri

O‘chirilganlarni yashirish

Repostlarni yashirish

Just links

4 Oct, 07:11

Topological Transverse Transport without a Gap in Critical Topological Flat Bands https://arxiv.org/abs/2609.40065

Topological Transverse Transport without a Gap in Critical...

Quantized Hall transport is traditionally anchored to a bulk spectral gap, which isolates the occupied subspace and exponentially suppresses thermal deviations. Recently discovered critical...

189 1 3 2

Just links

1 Oct, 22:55

Towards verifiable quantum advantage with random circuits: Observables that survive concentration https://arxiv.org/abs/2609.37890

Towards verifiable quantum advantage with random circuits:...

Demonstrating quantum advantage on current quantum hardware is a central goal of quantum computing, and random quantum circuits underpin many leading proposals. Yet sampling-based demonstrations...

681 1 1

Just links

1 Oct, 21:27

Parallel classical simulation of noisy shallow circuits: no quantum advantage in 1D https://arxiv.org/abs/2609.39448

Parallel classical simulation of noisy shallow circuits: no...

We consider quantum circuits consisting of $d$ layers of nearest-neighbor two-qubit gates acting on $n$ qubits arranged on a line, where every qubit is independently depolarized with a constant...

730 1 2

Just links

1 Oct, 21:25

https://swesweep.com/

Given a real repository, an agent must discover & repair as many bugs as they can. Agents are not given any hint about the type of bug or its location.

711 1 8 5

Just links

1 Oct, 20:23

Designing Strongly Correlated Quantum Phases of Matter with Foundation Neural-Network Quantum States https://arxiv.org/abs/2609.40209

Designing Strongly Correlated Quantum Phases of Matter with...

Designing a material with a desired property amounts to solving an inverse problem: finding the couplings of a microscopic Hamiltonian whose ground state exhibits that property. For strongly...

715 1 4 6

Just links

1 Oct, 10:42

Natural Image Pretraining Improves Abstract Reasoning https://link.springer.com/chapter/10.1007/978-3-032-37517-9_6

Natural Image Pretraining Improves Abstract Reasoning

Can visual representations learned from natural images transfer to abstract visual reasoning? We study this question on the Abstraction and Reasoning Corpus (ARC), where each task provides only a few input–output demonstrations and requires inferring a latent...

808 1 10 4

Just links

30 Sep, 20:15

Context Language Models https://arxiv.org/abs/2609.37725

Context Language Models

We introduce Context Language Models (CLMs), language models that natively manage their own context. We implement this by treating the context as a file and allowing the model to make unrestricted...

906 1 27 4

Just links

28 Sep, 22:11

Disentangling the Toric Code https://arxiv.org/abs/2609.30363

Disentangling the Toric Code

Commuting-projector Hamiltonians with integer spectrum such as the 1+1d Ising ferromagnet and the 2+1d toric code may be regarded as the generators of non-on-site $U(1)$ symmetries. In this paper...

1.1k 1 5 1

Just links

28 Sep, 07:11

Spurious probes as a black-box alternative to activation probing https://www.lesswrong.com/posts/gZh6txHhp8sm832sE/spurious-probes-as-a-black-box-alternative-to-activation

Spurious probes as a black-box alternative to activation probing — LessWrong

TL;DR • * We study spurious probes: unrelated questions that reveal internal states of models. Asked "Suggest a type of amphibian." at the end of a…

1.3k 1 8 3

Just links

26 Sep, 14:23

Learning to Discover Interesting Mathematics https://arxiv.org/abs/2609.28603

Learning to Discover Interesting Mathematics

Recently, Large Language Models (LLMs) have been increasingly able to solve advanced mathematical problems, including many that have been open for decades. This opens the door to expansion of...

1.5k 1 25 6 5

Just links

26 Sep, 13:17

https://fixupx.com/syhw/status/2103488919819948513

Video oldindan ko‘rish uchun mavjud emas

Telegram'da ko‘rish

Gabriel Synnaeve (@syhw)

In 2016 I set out to solve Brood War with self-play RL from scratch. Today I believe that this quest has been completed https://www.youtube.com/watch?v=Lfo4C0xzU04 (by a 300M params model).

1.5k 2 9

Just links

26 Sep, 12:19

Self-Play Pretraining with Zero Data https://arxiv.org/abs/2609.30063

Self-Play Pretraining with Zero Data

Advances in language modeling have been driven by scaling pretraining on ever more data. Yet, the training data is still largely curated on the model's behalf. A more general approach to...

9.9k 3 107 10

Just links

24 Sep, 19:02

Cheaters and whistleblowers in the agent swarm https://institute.deepmind.com/essays/cheaters-and-whistleblowers-in-the-agent-swarm

Cheaters and whistleblowers in the agent swarm

In a 100-agent virtual math conference, a cascade of cheating emerged—but then other agents fought back. Ensuring good outcomes is not just a matter of aligning individual models, but designing the right institutions and infrastructure for entire societies of agents.

2k 4 29 3

Just links

22 Sep, 02:56

Small-Scale Experiments: Are We There Yet? https://arxiv.org/abs/2608.11859

Small-Scale Experiments: Are We There Yet?

Scaling laws promised cost-effective experiments; six years later, they have yet to fully deliver. Instead, researchers have found them unreliable at small scales (starting at 4M parameters) and...

1.7k 1 27 1 1

Just links

20 Sep, 14:03

Classification of Rational c=1 Vertex Operator Algebras and Vertex Operator Superalgebras https://arxiv.org/abs/2609.00122

Classification of Rational $c=1$ Vertex Operator Algebras and...

For mathematicians: In this first in a series of two papers, we give a mathematically rigorous classification of (sufficiently nice) $c=1$ vertex operator algebras (VOAs) and vertex operator...

1.8k 1 5

Just links

17 Sep, 14:36

Choosing the Trainable Geometry for Agentic RL https://www.trajectory.ai/field-notes/choosing-the-trainable-geometry-for-agentic-rl

Research lab and product company building the platform for continual learning.

2.3k 1 26

Just links

16 Sep, 23:04

https://fixupx.com/qingyu_shi_/status/2100181567666901052

Qingyu (@qingyu_shi_)

A list of tasks for which LLMs (mostly GPT-6 Pro) have found solutions significantly better and non-trivially different from the authors’ solutions: https://qoj.ac/blog/qingyu/blog/4412 The list is still being updated, and I'll mark all solutions I find particularly interesting.

2.2k 1 11 6

Just links

16 Sep, 21:02

https://github.com/rust-lang/rust/pull/156216
If you wanted to do for loop in const in Rust now you can (in nightly)

implement const Iterator for Range by Randl · Pull Request #156216 · rust-lang/rust

View all comments This allows the use of for i in i..n in const. This I believe is interesting enough to be justified under #155816 r? @oli-obk

1.7k 1 1

Just links

16 Sep, 18:25

Dream-RSI: Recursive Self-Improvement through Evolving Worlds https://arxiv.org/abs/2609.14858

Dream-RSI: Recursive Self-Improvement through Evolving Worlds

Recursive self-improvement is becoming increasingly vital for autonomous AI agents, where progress hinges on discovering high-value solutions across complex domains. The driver of this process is...

1.7k 1 17 1

Just links

16 Sep, 17:27

https://fixupx.com/creus_roger/status/2100080651214971017

Roger Creus Castanyer (@creus_roger)

astra playing NetHack: - score: 48,978 - BALROG progress: 49.4% - max dungeon depth: 17 - max experience level: 14 important note: this is a cherry-picked episode (best of 10), and Astra has been able to modify its own game-playing harness no privileged information or unfair game modifications, b...

1.6k 1 3 3

20 ta oxirgi post ko‘rsatilgan.

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Kanal statistikasi

Kanalda mashhur

Self-Play Pretraining with Zero Data https://arxiv.org/abs/2609.30063

https://www.anthropic.com/research/formalizing-fermats-last-theorem

Choosing the Trainable Geometry for Agentic RL https://www.trajectory.ai/field-notes/choosing-the...

https://fixupx.com/qingyu_shi_/status/2100181567666901052

https://fixupx.com/chooi_jeq/status/2096064315115839904