The Research Desk.

The most upvoted and starred AI research crossing the community today.

Last Brew Time: Jul 5, 2026, 5:31 AM PT

X.com Research Buzz

A New Look at AI’s Impact on Jobs: Firm-Level AI Spending and Workforce Adjustment
X.com
3452

A New Look at AI’s Impact on Jobs: Firm-Level AI Spending and Workforce Adjustment

Ara Kharazian, Lisa Simon, Ryan Stevens

Ramp, Revelio Labs

AlphaXiv Trending

Orca: The World is in Your Mind
AlphaXiv
291

Orca: The World is in Your Mind

Beijing Academy of Artificial Intelligence, Yihao Wang, Yuheng Ji, Mingyu Cao

Beijing Academy of Artificial Intelligence

Reasoning
DSpark: Confidence-Scheduled Speculative Decoding with Semi-Autoregressive Generation
AlphaXiv
248

DSpark: Confidence-Scheduled Speculative Decoding with Semi-Autoregressive Generation

Xin Cheng, Xingkai Yu, Chenze Shao

Reinforcement Learning
The Hitchhiker's Guide to Agentic AI: From Foundations to Systems
AlphaXiv
185

The Hitchhiker's Guide to Agentic AI: From Foundations to Systems

Haggai Roitman

Reinforcement Learning
Scaling the Horizon, Not the Parameters: Reaching Trillion-Parameter Performance with a 35B Agent
AlphaXiv
113

Scaling the Horizon, Not the Parameters: Reaching Trillion-Parameter Performance with a 35B Agent

Lei Bai, Zongsheng Cao, Yang Chen

Shanghai Artificial Intelligence Laboratory

AdaJEPA: An Adaptive Latent World Model
AlphaXiv
105

AdaJEPA: An Adaptive Latent World Model

Ying Wang, Oumayma Bounou, Yann LeCun

New York University

Machine Learning
Is One Layer Enough? Training A Single Transformer Layer Can Match Full-Parameter RL Training
AlphaXiv
50

Is One Layer Enough? Training A Single Transformer Layer Can Match Full-Parameter RL Training

Zijian Zhang, Rizhen Hu, Athanasios Glentis

This work is independent of and outside of the work at Amazon, University of Minnesota, Peking University, Amazon

HuggingFace Daily Papers

Retrieval
Logit-Contribution Scoring Identifies Non-Literal Retrieval Heads
HuggingFace
14

Logit-Contribution Scoring Identifies Non-Literal Retrieval Heads

Aryo Pradipta Gema, Beatrice Alex, Pasquale Minervini

AutoLearnMem
AutoMem: Automated Learning of Memory as a Cognitive Skill
HuggingFace
12

AutoMem: Automated Learning of Memory as a Cognitive Skill

Shengguang Wu, Hao Zhu, Yuhui Zhang, Xiaohan Wang, Serena Yeung-Levy

Machine Learning
WARP: Weight-Space Analysis for Recovering Training Data Portfolios
HuggingFace
5

WARP: Weight-Space Analysis for Recovering Training Data Portfolios

Tzu-Heng Huang, Aditya Goyal, John Cooper, Frederic Sala

sprocket-lab

Reinforcement Learning
DuoMem: Towards Capable On-Device Memory Agents via Dual-Space Distillation
HuggingFace
5

DuoMem: Towards Capable On-Device Memory Agents via Dual-Space Distillation

Peyman Hosseini, Ondrej Bohdal, Ahmed Alajrami, Andrea Maracani, Ignacio Castro

Efficiency
Parameter-Efficient Quantum-Inspired Fast Weight Programmers for Traffic-Matrix Forecasting
HuggingFace
3

Parameter-Efficient Quantum-Inspired Fast Weight Programmers for Traffic-Matrix Forecasting

Kuo-Chung Peng, Jiun-Cheng Jiang, Chun-Hua Lin, Tai-Yue Li, Nan-Yow Chen

Retrieval
Scaling Laws for Grid-Based Approximate Nearest Neighbor Search in High Dimensions
HuggingFace
1

Scaling Laws for Grid-Based Approximate Nearest Neighbor Search in High Dimensions

Matthew J Liu, Wei Hang Zheng, Vidhan Purohit, Siqi Xie, Chieh-En Li

University of California, Berkeley