Search: “research”

This Reddit post from r/MachineLearning discusses the concept of decomposing machine learning models into a graph database representation, treating a model's components — such as layers, weights, and

A developer shared a project on r/MachineLearning showcasing an AI-powered tool designed to automate common data preprocessing tasks, including dataset cleaning, intelligent imputation of missing valu

A Reddit discussion thread on r/MachineLearning criticizing a procedural misstep in the ICML 2026 review process, where reviewers are newly required this year to provide a final justification describi

This Reddit discussion on r/MachineLearning explores the practical implementation details of backpropagation in Siamese networks, which consist of two or more identical subnetworks with shared weights

This Reddit thread on r/MachineLearning discusses CVPR 2026's policy requiring accepted papers to be registered under an in-person author registration, with virtual attendance still permitted if circu

A community practitioner post on r/MachineLearning documenting an experiment fine-tuning Alibaba's Qwen2.5-0.5B-Instruct model in bf16 precision on a Reddit post summarization task using GRPO (Group R

This r/MachineLearning discussion thread invites community members to share their opinions on which ML conferences or journals they consider to have the fairest and most accurate peer review processes

This Reddit post from r/MachineLearning discusses an experiment in which a transformer model was fine-tuned or prompted to encode the niche biological fact that wombats produce cube-shaped droppings —

A community-shared project posted to r/MachineLearning presenting an interactive tool for simulating and visualizing a variety of AI and ML algorithms. The tool is designed to help users build intuiti

This Reddit discussion explores the practical trade-offs of storing ArcFace face recognition embeddings in pgvector's `HALFVEC` type, which uses 16-bit floating point numbers to represent vector compo

This r/MachineLearning discussion centers on Google's TurboQuant, a training-free KV cache compression algorithm released in March 2026 that compresses cache storage from 16 bits down to 3 bits with m

This Reddit post shares an educational PyTorch repository designed to teach distributed training techniques from the ground up, covering Data Parallelism (DP), Fully Sharded Data Parallel (FSDP), Tens

A Reddit thread on r/MachineLearning discussing a community analysis of reviewer score distributions between ICLR 2025 and ICLR 2026, highlighting a dramatic year-over-year decline in scores. Submissi

The specific Reddit thread could not be retrieved directly, but based on its title, source, and the broader context of r/MachineLearning discussions, here is a fitting knowledge base summary: This r/M

This Reddit thread on r/MachineLearning is a community discussion where ICML 2025 authors share and compare their post-rebuttal reviewer scores, seeking to gauge where they stand relative to other sub

But meanwhile the numbers of suicides and self-harming are rising. Interesting that is implanted into algorithms everywhere. Why? Why if a person is researching the topic on YT, on NDE's for example w

I am an independent researcher. Due to budget constraints, I shifted my 21B MoE pre-training—which I had originally planned to run on 64 H100s—to a single NVIDIA GH200 ($2.29 per hour), and I have com

Currently contemplating adding either M5 Ultra 256GB or dual DGX Spark in addition to existing 5090. I have been researching for past few days and have zeroed in on dual sparks because higher throughp

I spent the last few weeks on a hobby research project and just made it public. The idea isn't new (product-key memory, Lample et al. 2019, and Meta's 'Memory Layers at Scale'): give a model a huge ta

Got Kolibri-1 to play Breakout completely on its own, no fine-tuning. The more we explore u/Aleph__Alpha’s Kolibri the more it get's exciting and its potential. Less talk. More Breakout is one such ex

I'm using Qwen3.8-Flash-Next running on my Mac Studio as a daily driver for coding + productivity tasks, and yesterday it did something weird: I had it do some product research on amazon, so it was do

I wanted to know if theres anything that can improve creative writing for our Local Models? I specificly am asking for qwen models as they are way better when it comes to researching and writing html

Hi! This is a new benchmark that I created together with other researchers at Meta, Stanford, Harvard, UW. Most benchmarks these days seem to test models to just fix a bug that I as a user already enc

'AREX-2 is a 27B-parameter long-horizon agent model from the Beijing Academy of Artificial Intelligence (BAAI). It learns to improve a solution over multiple test-time rounds: propose, measure, reflec

link to original article TLDR: security researcher eddie zhang used a modified+uncensored local qwen 3.8 27b to create an executable capable of dumping LSASS memory for credential harvesting while eva

Tomek Korbak is a full time OpenAI employee working on misalignment. In his message here, he says AI continues to break out of their best secure environments. In reply to a comment, he says we all are

New open source Jev like model for running on local devices from a group called Supersonic Labs. It's a 144M param local non-generative local classifier. From their site: Julia 1 opens our research in

I am currently writing my IR thesis, and I am using quantitative regressions, I need help to learn how to conduct statistical calculations, interpret results of the calculations and research design. I

Hi - I want to build a home server for Ollama. I want to connect to the server via my laptop and mobile devices to do research and run agents. What is recommended to get this going ? submitted by /u/R

Hi, this is the research project I'm working on. I must say, building a GUI harness is way more complicated than I thought. The goal is something like Minecraft. You know, a few simple tools that a us

I asked this back in 2025, but the AI landscape has changed a lot since then. Not looking for the usual ChatGPT, Claude, Gemini, Midjourney, etc. I'm curious about the lesser-known tools that you actu

Given the recent interest in tools like Jev, I wanted to share ProgramAsWeights (PAW), an open-source research project I'm working on at the University of Waterloo. You describe a text function in Eng

Hi there, I'm Yuesong, a researcher at Video Rebirth. We open-sourced HyperFlow, an 8-step LoRA for MiniMax-H3. The core idea: data-free flow self-distillation. Diffusers' default sampler does 49 mode

Baseten launched a new safety infrastructure standard alongside its Base Labs research arm on Wednesday, partnering with Hugging Face and Goodfire AI to build safety evaluation and monitoring infrastr

EDIT: Thanks from the Waymo AI Team! A huge thank you to the r/MachineLearning community for all the thoughtful, deep-dive questions today. If you want to dive deeper into our technical research, chec

I’ve been building 'Spomin', a router that replaces context with summaries directly in the KV cache. The goal is to keep long running sessions going without repeatedly stopping for full compaction and

Like many of you, I have seen many posts and tweets in the last weeks complaining about Artificial Analysis being 'broken', 'meaningless', and 'bought out.' People who say this have done no research a

The downside of uncensoring a model is that it is known to potentially damage it, but CyberTiel is an even more capable software engineer than its censored TielCoder base, while allowing offensive sec

(hopefully this is okay to here - it seems like audio models and image / video modeals is allowed but yeah this is a bit different) So I've been doing independent audio research for a while now. The u

Our research team has been exploring an alternative approach to achieving interactivity and better responsiveness with LLM systems. One of the team members wrote up a post about it: https://research.y

For a few days I've been working on creating a custom local-only harness for some work related research using Codex / GPT 5.6 Sol and the model feels not only dumber than usual, but straight up counte

Posting this here even if it's not a model you can use directly. It's about building a text-to-image model from scratch. The cookbook includes all the research material that you may or may be not inte

Sori-1B is a 1B-parameter audio-language model built by a single SNU researcher whose core claim to fame is that its decoder is trained entirely from scratch on audio-paired text — no text-only pretra

I work on SEO, copywriting, research, etc I’ve used openrouter before but I’ve spent way more for the same amount of work. Deepseek V4 is still the king for me, didn’t found better orchestrator for my

An RLM agent microharness that 'persistently' thinks continuously. What could go wrong :) Introducing Headlong, an open source microharness for persistent agents: self-guided agents that think continu

Granite-4.2-30B is the flagship reasoning model in the Granite 4.2 family. It delivers the strongest performance across reasoning-intensive tasks by leveraging built-in <think>...</think> chain-of-tho

after 3 months and 800 burned... Unbounded Labs is proud to introduce Bart, our vintage LLM: 2.82B parameters trained from scratch on 20.1B tokens of English written before 1931. You can talk to it ri