machinelearning

I trained a 414k-parameter transformer to fly a boids flock, then tested whether the rules a probe can read are the ones it uses [P]

I wrote a small boid simulator (12 birds), recorded it flying, and trained a transformer to predict each bird's next move without it knowing about any boid rules.

World Action Models vs VLAs: Robotics Just Had Its GPT-2 Moment [N]

I asked AI models to build web apps. Most of them shipped a fake server inside the page.

This is a submission for the Kaggle Benchmarking Challenge. What I Benchmarked AI coding demos show the happy path: the form renders, you click the button, a green "Success!" appears. I wanted to know what happens when a real user shows up.

Pecision models that score every allowed label from the logits: Jebadiah v2.1 (27B, 9B), open weights and self-run benchmark results [P]

I've been building open models that treat a decision as a closed-set scoring problem rather than text generation. The input is structured context plus a typed question with a fixed set of options.

Do I need to do anything now to use an ARR August review for NAACL 2027? [D]

This is my first time ARR submission. I have a paper from the ARR 2026 August cycle with completed reviews and I understand the reviews remain valid for 6 months.

What ai is best to operate a system from screen video [p]

I have working programmatic control over a system, I can send inputs reliably and capture the screen as visual feedback. The control/feedback loop is already done.

Has machine learning research gotten more "wordy"? [D]

I feel like I am unable to digest most machine learning research these days. The primary reason is because I feel like they have gotten tremendously wordy. I find it not uncommon to find research papers consisting of 20+, 30+, 40+ pages of pure texts.

I Built a O(NlogN) attention system that retains 97% accuracy over long context (MQAR)[P]

ALHR- Adaptive learnable Hierarchical Routing is a static binary tree based system that uses learnable functions to REDUCE the amount of keys used. It takes less memory and SCALES much better VRAM with tokens submitted by /u/Alarming-Emotion-894 [link] [comments]

Are .ipynb notebooks already outdated in the agentic era? [D]

I am a data scientist who started working in the industry before the LLM revolution. Back then, Jupyter Notebooks were a perfect fit for the classical DS pipeline: EDA -> data prep -> fit -> eval -> tune -> save model artefact and notebook.

Talus: a 23M-parameter diffusion model for game terrain, evaluated against a real-vs-real noise floor, running in the browser on WebGPU [P]

Talus generates 64x64 heightmaps (4 km, up to 1,200 m) conditioned on a terrain type and any subset of five measured properties: mean elevation, relief, mean slope, water fraction and spectral slope. I trained it from scratch on one RTX 5060 (8 GB), about 4.5 hours in total across versions.

Clarification ARR Commitment [D]

Should I address the reviewer comments/suggestions (minor things) in this version already or wait for camera ready if accepted?

I built ALHR: A tree based sparse attention system that achieves sub-quadratic inference while retaining accuracy. [P]

ALHR - Adaptive Learnable Hierarchical Routing, uses static binary trees and learnable functions to minimize the amount of keys to be read.

Can AI Agents Make Open-Ended Scientific Discovery? Evidence from Station

Recent AI systems have made rapid progress in scientific discovery when given well-defined metrics, but whether they can autonomously undertake open-ended scientific discovery remains unclear.

ARR Oct Discussion [D]

Are there actually fewer submissions this cycle or are people waiting for ARR Aug Meta to be out? I saw an 1.8k submission ID yesterday.

SAC tickets non-transferable? [D]

I built MaRN: a PyTorch library for training neural networks through low-dimensional parameter mappings [P]

I built MaRN (Mapping Networks), a PyTorch library that lets you optimize a compact latent representation instead of directly training every model parameter.

ThinkingBox: Solving an agent task once vs. solving it 20/20: 507 stateful workflows graded on terminal database state [R]

Figure 1b from our paper Disclosure: I'm one of the authors (Microsoft). The paper, code, dataset are public and ThinkingBox is on Hugging Face OpenEnv as well. Raw evaluation trajectories are not released Links at the bottom.

Should I optimize for ML conference publications? [D]

Hi!I am a fourth year PhD student in USA and have not had much luck with top ML conference publications. In the last two years of my PhD, I am wondering if I should optimize for ML publications at top venues or pivot into engineering or something else.