CompanyAnthropic8 recent entries14 Apr 2026ClawBench: Can AI Agents Complete Everyday Online Tasks? 153 tasks, 144 live websites, best model at 33.3% [R]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→18 May 2026Witchcraft, fast local semantic search on top of SQLite [P]Witchcraft is a Rust reimplementation of Stanford's XTR-Warp semantic search engine that uses a single-file SQLite database for storage, enabling client-side deployment. The system operates completely
CompanyOpenAI6 recent entries15 Apr 2026Built GPT-2, Llama 3, and DeepSeek from scratch in PyTorch - open source code + book [p]A Reddit post on r/MachineLearning sharing an open-source project and accompanying book by Sebastian Raschka that walks through implementing GPT-2, Llama 3, and DeepSeek from scratch using PyTorch, wi→18 May 2026Witchcraft, fast local semantic search on top of SQLite [P]Witchcraft is a Rust reimplementation of Stanford's XTR-Warp semantic search engine that uses a single-file SQLite database for storage, enabling client-side deployment. The system operates completely→20 May 2026OpenAI claims a general-purpose reasoning model found a counterexample to Erdos's unit-distance bound [D]An OpenAI general-purpose reasoning model autonomously disproved a conjecture posed by Paul Erdos in 1946, overturning 80 years of mathematical belief. The breakthrough concerns the planar unit distan→20 Jul 2026Training a harness for model-agnostic and task-environment-agnostic capability improvements with PyTorch-like framework [P]I worked on this project (https://github.com/workofart/harness-training) for the past few months to reframe 'Agent-driven Self-improving Harness' to 'Harness Training'. The idea is simple, the harness→21 Jul 2026Reproducing OpenAI’s “persistently beneficial models” - GRPO trait install barely moves. Ideas? [P] [R]TL;DR: I’m reproducing the trait-persistence result from arXiv:2606.24014 on one RTX 3090. Before I can test persistence I need to install a trait via RL — and my GRPO run moves the trait only +2.4 po→24 Jul 2026I built an open-source multi-agent SDLC harness that beats a cold Claude Code run on large repos, by learning the repo once. Real benchmarks (incl. where it loses) inside. [P]Built an open-source AI coding agent that was 7%–75% cheaper than a cold 'claude -p' run on 6/6 well-localized tasks across repositories up to ~82k LOC. The biggest difference: Cold agent: 6.83, 207 t
CompanyGoogle5 recent entries10 Apr 2026Is google deepmind known to ghost applicants? [D]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...→11 Apr 2026PhD or Masters for Computational Cognitive Science [R]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→15 Apr 2026How much harder is it these days to get into a PhD program without having a high ranking degree for UG? [D]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→4 Jun 2026Best Visual Reasoning Model in 2026 (Including APIs) [D]Gemini 3.1 Pro and Gemini 3-Pro lead visual reasoning benchmarks , with GPT-5.2, Kimi-K2.5, and GPT-5.2-Pro following . A 2026 evaluation benchmarked 15 leading multimodal models on visual reasoning a→24 Jul 2026I built an open-source multi-agent SDLC harness that beats a cold Claude Code run on large repos, by learning the repo once. Real benchmarks (incl. where it loses) inside. [P]Built an open-source AI coding agent that was 7%–75% cheaper than a cold 'claude -p' run on 6/6 well-localized tasks across repositories up to ~82k LOC. The biggest difference: Cold agent: 6.83, 207 t
CompanyMeta4 recent entries15 Apr 2026[P] Added 8 Indian languages to Chatterbox TTS via LoRA — 1.4% of parameters, no phoneme engineering [P]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), →15 Apr 2026Built GPT-2, Llama 3, and DeepSeek from scratch in PyTorch - open source code + book [p]A Reddit post on r/MachineLearning sharing an open-source project and accompanying book by Sebastian Raschka that walks through implementing GPT-2, Llama 3, and DeepSeek from scratch using PyTorch, wi→28 Jul 2026NeurIPS 2026 AI-generated reviews [D]I'm really confused about what the point of the prompt injection was (speaking as an author). Is it just a study? I would really prefer that they took action against the AI-generated reviews. Obviousl→28 Jul 2026Might need math+code benchmark for frontier model(LLMs Silently Replace Math)[D]Hello guys. I found some problems in current frontier models. And want to share. # math_code_hallucination > Record of a failure caused by combining mathematics and code in a single prompt. --- ## Cas
CompanyMistral1 recent entries28 Jul 2026Might need math+code benchmark for frontier model(LLMs Silently Replace Math)[D]Hello guys. I found some problems in current frontier models. And want to share. # math_code_hallucination > Record of a failure caused by combining mathematics and code in a single prompt. --- ## Cas
CompanyxAI1 recent entries24 Jul 2026I built an open-source multi-agent SDLC harness that beats a cold Claude Code run on large repos, by learning the repo once. Real benchmarks (incl. where it loses) inside. [P]Built an open-source AI coding agent that was 7%–75% cheaper than a cold 'claude -p' run on 6/6 well-localized tasks across repositories up to ~82k LOC. The biggest difference: Cold agent: 6.83, 207 t
CompanyDeepSeek6 recent entries10 Apr 2026[D] Large scale OCR [D]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...→15 Apr 2026Built GPT-2, Llama 3, and DeepSeek from scratch in PyTorch - open source code + book [p]A Reddit post on r/MachineLearning sharing an open-source project and accompanying book by Sebastian Raschka that walks through implementing GPT-2, Llama 3, and DeepSeek from scratch using PyTorch, wi→9 May 2026DeepSeek V4 paper full version is out, FP4 QAT details and stability tricks [D]DeepSeek released the full technical report for DeepSeek-V4 on April 24, 2026, titled 'DeepSeek-V4: Towards Highly Efficient Million-Token Context Intelligence.' The paper details FP4 quantization-awa→17 May 2026DeepSeek Exposed: Users Can Access Each Other's Conversations with a Special Input[D]A vulnerability in DeepSeek's website exposed a significant amount of data, including user chats. A publicly accessible ClickHouse database belonging to DeepSeek allowed full control over database ope→21 Jul 2026My OCR model mislabels section titles as body text. Is a CRF the right fix, or am I overcomplicating it? [P]Hi everyone, I'm working on extracting the hierarchical structure of long PDF documents (legal/regulatory text, lots of numbered sections) and would like to gather some feedback on my approach before →30 Jul 2026How Kimi K3 Engineered Its Way to the Frontier [R]Kimi K3 by Moonshot reached the frontier as an open-weight model. Artificial Analysis ranks it fourth of 580 models, behind only Claude Opus 5, Fable 5, and GPT-5.6 Sol. Moonshot released more than th
CompanyNVIDIA8 recent entries13 Apr 2026TurboOCR: 270–1200 img/s OCR with Paddle + TensorRT (C++/CUDA, FP16) [P]TurboOCR is a high-performance OCR project that combines PaddleOCR with NVIDIA TensorRT, implemented in C++ and CUDA, achieving throughput of 270–1,200 images per second using FP16 half-precision infe→29 Apr 2026What are people using for low-latency autocomplete in production? [P]Production low-latency autocomplete implementations employ diverse strategies including inference server optimization (tools like vLLM, llama.cpp, NVIDIA Triton), deployment choices (cloud APIs, on-pr→3 May 2026torch-nvenc-compress: GPU NVENC silicon as a PCIe bandwidth multiplier — PCA + pure-ctypes Video Codec SDK wrapper. Parallel-path overlap measured at 67% of theoretical max on a real GEMM + encode workload. [P]torch-nvenc-compress is a Python library that leverages GPU NVENC (NVIDIA's hardware video encoding) to optimize PCIe bandwidth utilization by compressing data during transfer. The project implements →7 May 2026ROCm Status in mid 2026 [D]ROCm has reached production-ready status for PyTorch and vLLM workloads in 2026. PyTorch runs well and MI300X benchmarks are competitive, though the ecosystem gap with CUDA remains real. AMD's MI355X →21 Jul 2026My OCR model mislabels section titles as body text. Is a CRF the right fix, or am I overcomplicating it? [P]Hi everyone, I'm working on extracting the hierarchical structure of long PDF documents (legal/regulatory text, lots of numbered sections) and would like to gather some feedback on my approach before →27 Jul 2026Built & Trained a Transformer from Scratch in Pure PyTorch for English-to-Tamil Machine Translation [Math + Code Breakdown] [P]Hi everyone! 👋 I built and trained the complete Transformer architecture from scratch using pure PyTorch (`torch.nn` primitives) based on the original 'Attention Is All You Need' paper. I trained the →29 Jul 2026Vendor-agnostic ML inference on production edge devices [R]I work on PostSlate, a video editing tool, and this comes out of our own work. We run ML models on-device, face detection and embedding among other things, which means we can't assume anything about t→1 Aug 2026Github repo to learn the OPD/OPSD and how they perform compared to GRPO, on a consumer grade GPU [P]I am trying to learn concepts like On Policy Distillation (OPD), On Policy Self Distillation (OPSD) and how do they compare to RL algorithms like GRPO. There are a lot of papers on this, but because o