Continuum Attention
We introduce Continuum Attention (CA), a causal Transformer attention operator that replaces discrete key and value lookup with…
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Papers, breakthroughs and what the labs found this week.
602 stories · Every headline links to the original publisher. HapnGo curates and groups; we do not copy articles.
Player-1: Learning to Play from Synthetic Experience
Computer-use agents have demonstrated strong capabilities in interpreting screens and executing keyboard and mouse actions…
One Task, Many Interfaces: Simple Cross-Interface Consistency Training Improves LLM Agent Robustness
Post-training binds the competence of an LLM agent to the interface it was trained on. Semantics-preserving perturbations of that…
Researchers use AI to design proteins that cut up other proteins
AI design tools make proteins that break bonds that are stable for hundreds of years.
There’s Nothing Mysterious or Unusual About the Viral German Sexual Harassment Robot
Livestreamers used a robot to harass a woman for social media clout on the street in Germany.
OpenAI, Google pushing new AI models easily tricked into making nudes, researchers say
Attack method exposes flaws in OpenAI, Google safeguards against AI nudes.
Euler: Towards Human-Centered Multi-Agent Mathematical Discovery
Mathematical research drives scientific discovery, and recent advances in AI for mathematics have shown that language-model…
On the Optimisation Landscape of Overparameterised Weighted MMD
We study the optimisation landscape of the maximum mean discrepancy (MMD) over weighted atomic measures. For the one-dimensional…
Text-Informed Training Data Filtering for Enhanced Virtual Flow Meter Performance
In sectors such as energy, aquaculture and chemical processing, the effectiveness of both mechanistic and data-driven models is…
Lost in the Fallback: How Reliably Do Typed Decision Models Use Fallback Options?
Typed decision models (TDMs) are increasingly used in applications such as request routing and model selection, making reliable…
Energy Consumption Analysis of Discrete Diffusion and Autoregressive Language Models
As Large Language Models (LLMs) continue to scale, their energy consumption during inference has become a critical concern. While…
Memory-Efficient Subspace Optimization with Residual Correction: From Momentum SGD to Muon
Memory-efficient subspace optimization has emerged as a practical approach to reducing the memory cost of LLM training while…
Rent-Seeking Language Models: Reward Models Set the Prices, Frequent Audits Curb the Rent
Reward model overoptimization in RLHF is usually described as reward hacking. We recast it as rent-seeking: the policy, a firm…
CTIA-ODE: Continuous-Time Inter-Variable Attention for Long-Term Time Series Forecasting
Although multivariate time series forecasting has broad application prospects, effectively incorporating exogenous variables…
ActionOPD: Distilling Decisions, Not Tokens
Distilling capable language-model agents into smaller models requires aligning the student's behavior with the teacher's. This…
If an AI helps discover a drug, who gets credit?
AI may soon contribute to research in ways that are difficult to describe with traditional authorship. A model might suggest a…
The Design Space of Tri-Modal Masked Diffusion Models
Discrete diffusion models have emerged as strong alternatives to autoregressive language models, with recent work initializing…
Industrial Next wants factory robots to switch tasks in minutes, not weeks
Industrial Next helps manufacturers automate complex, delicate tasks that have traditionally required human labor.
406 scientists demand AI models be cut off from the internet immediately
406 scientists, including Geoffrey Hinton, Yoshua Bengio, and Stuart Russell, are demanding that companies immediately disconnect…
ChunkAct: Action Chunking for Agentic Robotics
Agentic robotics places a large language model (LLM) agent in the robot control loop, where it composes perception, motion, and…
Cepheid: Decoupling Scale from Structure for Cross-Family Motion Completion
Sparse-to-dense motion completion recovers dense mesh motion from sparse vertex displacements. Residual priors trained on one…
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