Zhemal Khamidun
Hamidun News editorial desk led by Editor-in-Chief Zhemal Khamidun (CPO of AlpinaGPT). Daily curation across 50+ global AI labs, research feeds, and industry reports in 6 languages.

CircuitTree assembles 39 HuBERT phoneme circuits into a syllable transcriber with 64.8% accuracy
A new algorithm merges small HuBERT subnetworks into a single model. It recognizes open syllables with 64.8% accuracy, and 99.5% of the circuit components are…

ResonatorLM Taught to Read Memory by Token: Perplexity at 1024 Drops from 12.81 to 3.76
ResonatorLM's read phase now depends on the current token, at a cost of 0.2% more parameters. Trained on 256 tokens and tested on 1024, perplexity fell from 12.81…

Kairos: a byte-level model for all modalities converges on 440 bytes
Kairos' author built a byte-level multimodal architecture with MoE and linear attention and checked that it trains at all: loss of about 10⁻³ on a single 440-byte…

GeopoliticalQA: bge-m3 Beats Commercial Embeddings on 5 525 Report-Based Questions

Qwen Picks What to Remember: Replay From a Frozen Model Reduces Forgetting

CLUE Builds an Event Ontology Without Experts in Three Steps: Embeddings, Clusters, Names

AutoIndexer Teaches a Language Model to Edit Its Own Output with Three Types of Edits

OGPO Teaches VLA Models to Get Back on Track After a Failure, Without Online Fine-Tuning
OGPO shifts VLA post-training from copying actions to reaching key task states. The method was tested on LIBERO, MetaWorld and the new LIBERO-ReAct benchmark.

Seq-Drifting Generates Text in a Single Pass: Perplexity of 36.01 on LM1B
Researchers propose Seq-Drifting: a model turns Gaussian noise into text in a single forward pass and reaches a generative perplexity of 36.01 on the LM1B dataset.

GeoSpatialBench Tests MLLMs on 28 Types of Spatial Relations Across Six Cities

RGR Protects LLMs from Skill Loss in Self-Distillation by Preserving Representation Geometry

Researchers Propose a 3-Criterion Formula for Creativity and Test It on Chess and Picasso

Neural Networks Are More Modular Than Their Neurons Suggest: Three Levels of Testing

MCTS Loses to Random Restarts by 2.88% in DAG Scheduling at Equal Budget
The authors gave MCTS and a simple list scheduler with restarts 2048 schedules each on DAG tasks. The search tree came out 2.88% worse than random restarts.

arXiv paper finds five flaws in XAI faithfulness metrics
An arXiv position paper says a decade of XAI has not raised trust in models, and faithfulness metrics have five systemic flaws. The authors propose four research…









