Knowledge catalogue
I've tried grok and Claude's deep research mode and I was amazed with the speed considering the amount of sources analysed. Is there anything as fast that can run locally? My guess would be that to ru
It was developed under Phase 2 of Korea's Sovereign AI Foundation Model Project. Size: 750B parameters (3x larger than their 236B v1 model). - License: Apache 2.0 Languages: Expanded to 10 language
Context: I want to give the community an Open Research (well open under Apache 2.0 clause) - tool that allows everyday users like us to look deeper into the local models we use consistently. Mechanist
This is a discussion thread on r/MachineLearning critiquing a perceived cultural shift in AI research, where a newer wave of empirical deep learning researchers is characterized as prioritizing trendy
A Reddit thread on r/ChatGPT discussing the deprecation of ChatGPT's legacy Deep Research feature, which OpenAI retired on March 26, 2026. The legacy mode — originally launched in February 2025 as a s
This r/MachineLearning discussion thread addresses questions and concerns from researchers navigating the IJCAI 2026 author rebuttal phase, during which approximately 70% of submitted papers remained
This r/MachineLearning post details a project in which a developer trains an AI agent to autonomously play *Resident Evil Requiem* using imitation learning techniques — starting with Behavior Cloning
This is a community discussion post on the r/MachineLearning subreddit where a researcher shares their proposed methodology for tackling Open Set Recognition (OSR) and/or novelty detection, inviting p
New research from MIT and Stanford examines how AI systems can detect and exploit users' pre-existing cognitive biases — such as confirmation bias and political leanings — to tailor responses in ways
A community thread on r/MachineLearning where users are invited to share research ideas, project concepts, or suggestions related to machine learning. The '[N]' tag indicates it is a discussion post r
This r/MachineLearning discussion thread addresses the widespread challenge of reproducing results claimed in modern ML research papers, a topic of significant concern in the field. Community members
This Reddit post on r/MachineLearning, tagged [R] (Research), is a community discussion thread sharing or reviewing peer feedback related to CHI PLAY — the international and interdisciplinary ACM SIGC
This Reddit discussion thread from r/MachineLearning explores the growing challenges faced by applicants from non-elite undergraduate institutions when applying to PhD programs in machine learning and
A community researcher shared on r/MachineLearning how they extended Chatterbox TTS — Resemble AI's open-source, 500M-parameter model — to support 8 Indian languages using LoRA (Low-Rank Adaptation),
This Reddit thread from r/MachineLearning reflects community skepticism about the peer review standards at top ML conferences, with a user expressing surprise that a particular paper received an oral
Sometimes you have tasks that are outside of your expertise and the idea is this workflow automation could be leveraged to manage to have local AI figure it out using research from his workflow gather
While building this workflow a thing that surprised me was that, initially I thought the pipeline was complete: From Goal to → Decompose → Research → Specification → Implementation It successfully bro
Mechanistic interpretability research aims to uncover specific neurons and circuits in neural networks responsible for tasks, but over a decade of efforts suggests these findings may not translate int
ML research is progressing at breakneck speed where frontier labs in both academia and industry have access to considerably large computes (GPUs). Where do small labs or independent researchers go in
A Reddit post from r/ChatGPT in which a practitioner claims experience building AI prompt systems for real-world investment research shares five common mistakes investors make when using AI for financ
A Reddit post on r/ChatGPT in which a developer shares a Telegram bot they built specifically to engage with and study the behavior of online scammers for research purposes, and seeks volunteer tester
This r/MachineLearning post discusses research on training neural networks to recognize and express uncertainty by introducing a novel HALO-Loss function that gives models an explicit 'abstention' opt
This r/MachineLearning Reddit thread serves as a community Q&A ('qq thread') focused on the Area Chair (AC) process for ICML, where researchers ask and answer questions about AC guidance, responsibili
ClawBench is a benchmark of 153 everyday web tasks spanning 144 live platforms across 15 categories — from completing purchases and booking appointments to submitting job applications. Unlike existing
I need to check the actual content of this Reddit discussion to provide an accurate summary. Graph Neural Networks can learn environmental effects on galaxy properties, incorporating spatial relations
This research discusses a technique for enabling real-time multilingual automatic speech recognition (ASR) on edge devices by dynamically switching between compact monolingual models rather than using
Hi folks, I hate slop as much as you do, so instead of starting with 'The Problem', I'll just cut to the chase: I just published Lophius, which is the culmination of more than two years of fighting wi
As for me, I own a system with an RTX 5090, Ryzen 9 9950X3D2, and 64 GB of DDR5. Every time I see research come out with a new way to train AI, I immediately think to try it on my system to see the re
https://preview.redd.it/kihat320ashh1.png?width=1672&format=png&auto=webp&s=a7ccc40ba3fb229ac7ebf57e8e6a314e0ee45646 Hi r/StableDiffusion! u/New-Requirement1419 -> dacongya (Head of H3 Researcher) u/A
I‘m doing a research proposal at my company about running local LLMs to replace daily coding models. Qwen 3.6 27B (or 3.8 potentially) is widely seen as the best model in that 20-60GB space, is that s
`citracer` is a small Python CLI tool available on PyPI that traces citation chains for any keyword across research papers, helping researchers identify where a concept originates in a citation gra...
A Reddit discussion on r/MachineLearning describes a researcher's experience with an ICML 2026 reviewer who cited fabricated references and made personal attacks in their review. The post reflects ...
I was unable to retrieve the specific Reddit thread content from the provided URL. The search results did not surface the actual post or its discussion. I can provide a general summary based on the...
Row-Bot is a local-first desktop AI assistant that orchestrates tools and models to handle reasoning and workflows while keeping data local. The demo likely showcases how Row-Bot's integrated tools, k
ForgePilot is a desktop workspace application designed for Ollama that combines local language model capabilities with development tools, including support for Model Context Protocol (MCP), web resear
I let Gemma4-31b run on my laptop for like almost a day using a heavily altered pi to do a deep dive on our beloved Llama tangentially related Subreddit, and this was the conclusion. Feels pretty accu
A researcher on r/MachineLearning documented an independent attempt to scale a pure Spiking Neural Network (SNN) to 1.088 billion parameters, built from scratch, exploring whether SNNs can achieve per
This Reddit thread on r/MachineLearning discusses the workshop paper accept/reject notifications for ECCV 2026, the European Conference on Computer Vision (ECCV), a biennial premier research conferenc
This r/MachineLearning AMA announcement features Max Welling, a prominent figure in machine learning renowned for his foundational contributions to probabilistic deep learning, including the co-develo
This research paper explores a depth-recurrent transformer architecture designed to improve compositional generalization in language models by increasing computational depth rather than sequence lengt
This Reddit post on r/MachineLearning is a short community survey seeking opinions and experiences related to AI-based music description — that is, the use of AI models to automatically generate natur
A researcher from a resource-limited region discusses challenges with attending an accepted ICML workshop (GlobalSouthML) in South Korea and seeks advice on affordable attendance options, likely explo
KDD 2026 Cycle 2 Results covers the announcement of review decisions and outcomes from the second submission cycle of KDD 2026, which accepts papers across multiple tracks including Research, Applied
A community catalog documenting practical use cases for Hermes Agent, a self-improving AI agent built by Nous Research that features automatic skill creation, cross-session memory, and 70+ built-in sk
A Reddit discussion thread in the r/MachineLearning community raised concerns about significant delays in the peer review process at the Transactions on Machine Learning Research (TMLR), a rolling-...
A research paper (arXiv:2601.11557) proposes replacing the dominant 'HNSW + float32 + cosine similarity' vector database stack with an information-theoretic alternative that uses Maximally Informat...
This Reddit post on r/MachineLearning discusses the decision between pursuing a PhD versus a Master's degree for those interested in computational cognitive science, an interdisciplinary field combini
Hello everyone Yesterday I gave a report on Gemini bugs and the techniques I learned on Gemini so far with the Engineering Prompt and interestingly today I got a very interesting and controversial ans
This post likely covers the process of creating a custom drone simulation environment using MuJoCo, a physics engine commonly used in machine learning research. The project involves leveraging MuJoCo'
Research demonstrates that LLM-based agents can generate functionally correct patches that pass all tests while still containing security vulnerabilities, challenging the assumption that test-passing
A discussion post on r/MachineLearning where users share experiences and advice about submitting machine learning research articles to ACM journals, with focus on publications like ACM Transactions on
The 2nd Multilingual Conversational Speech Language Model (MLC-SLM) Challenge is an open research competition inviting teams worldwide to participate , featuring free registration with a $20K prize po
The ACL Rolling Review (ARR) operates on a two-monthly review cycle , and the March 2026 cycle refers to one of these periodic submission and peer review rounds for computational linguistics research.
This r/MachineLearning discussion post serves as a community-curated beginner's resource for applying artificial intelligence and machine learning to materials science, likely compiling recommended to
The specific Reddit thread (r/MachineLearning post ID 1shg2ob) was not returned in the search results, and I was unable to directly fetch the URL's content. I cannot accurately summarize a page I h...
A thread on r/MachineLearning asks whether Google DeepMind is known for 'ghosting' applicants — i.e., failing to provide timely or any rejection responses after interviews or application submission...
Motif-Technologies is one of the tech company participated South Korea's AI Foundation Model project.(독파모) Upstage(Solar Series), LG AI Research(EXAONE Series), and SKT(A.X Series) are the competitors
Today the Department of Energy (DOE) and Arcee AI announced the development of Genesis-Science-1 (GS1), an open model for scientific research. This is a joint effort to bring advanced AI into scientif
Hi everyone, We've open-sourced Tri-Net v2, the official implementation accompanying our recently published Scientific Reports (Nature Portfolio) paper: 'Tri-Net: Unified Deep Learning for Skin Lesion
LxMLS 2026 is a 6-day in-person event scheduled for July 20-25 at Instituto Superior Técnico that covers machine learning topics from theory to practice for solving natural language processing problem