NVIDIA AI Releases Molt: A PyTorch-Native Agentic Reinforcement Learning Framework

NVIDIA has launched Molt, a PyTorch‑native framework for agentic reinforcement learning that emphasizes a compact codebase of roughly 8.6K lines of RL code. It integrates a single training backend (NeMo AutoModel) and se…

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MiniMax Releases MiniMax H3: An Omni-Modal Video Model That Generates 15-Second 2K Clips With Native Stereo Audio

MiniMax introduces the H3, an omni‑modal video model that generates 15‑second 2K clips with native stereo audio, priced at $0.13 per second and ranking #1 in video editing on Artificial Analysis. It uses a newly built H3…

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H-JEPA-LM: Hierarchical Joint-Embedding Predictive Language Model in PyTorch

H-JEPA-LM is a Hierarchical Joint-Embedding Predictive Architecture implemented in PyTorch. This language model leverages a hierarchical framework to improve predictive modeling capabilities. Read original

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I built a Rust inference framework that runs Qwen3.5 2B with VL support 10x faster than PyTorch on Apple Silicon — and it supports TTS, ASR, OCR, and GGUF out of the box

A new Rust-based inference framework has been developed that runs Qwen3.5 2B with vision-language (VL) support up to 10x faster than PyTorch on Apple Silicon. The framework natively supports text-to-speech (TTS), automat…

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🔎 Where do an AI model’s words come from? Infini-gram can trace the clues

A Reddit post from the Allen Institute for AI (AI2) highlights Infini-gram, a method that can trace the origins of an AI model's generated words. The submission links to further discussion on the technique's capabilities…

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DeepSeek Upgrades DeepSeek-V4-Flash-0731 with Major Agentic and Coding Gains

The architecture is identical to the April preview. Same 284B total parameters. Every gain came from re-post-training. 1. It beats the bigger model in its own family → Terminal Bench 2.1: 82.

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New tool release: I built a security and governance layer to stop AI agents from leaking data to external APIs.

The Proceeding to summarize.

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What is the status of AMD GPUs in machine learning?

A developer seeking to transition into local LLM development and fine-tuning is evaluating the feasibility of using AMD GPUs compared to NVIDIA hardware. The user notes that while NVIDIA offers a more seamless experience…

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I built WISP — a CUDA engine for streaming 744B+ parameter MoE models on consumer hardware

WISP is a CUDA engine enabling

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Meet Token Saver: An Open-Source MCP Extension Using Local Hybrid RAG to Cut Claude PDF Token Costs 90-99%

Token Saver is an open‑source MCP extension for Claude‑Desktop that uses a lightweight local hybrid RAG pipeline to process PDFs locally, eliminating the need to re‑send the entire document on every turn. By keeping cont…

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Liquid AI Releases LFM2.5-Encoder-230M and LFM2.5-Encoder-350M: Bidirectional Encoders That Stay Fast at 8K Context on CPU

Liquid AI released two bidirectional encoders this week: LFM2.5-Encoder-230M and LFM2.5-Encoder-350M. Here's what's actually interesting: 1. They converted a decoder instead of training from

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Microsoft AI Releases MAI-Cyber-1-Flash: A 5B-Active-Parameter Cyber Model That Pushes MDASH to 95.95% on CyberGym

Microsoft AI has released MAI-Cyber-1-Flash, a specialized cyber defense model featuring 5 billion active parameters out of 137 billion total parameters. Designed to identify vulnerabilities in complex codebases, the mod…

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Kimi AI and kvcache-ai Open Sources ‘AgentENV’: A Distributed System that Powers Agentic Reinforcement Learning (RL) Training for Kimi K3

Kimi AI and kvcache-ai have open-sourced AgentENV under the MIT license to enhance environment throughput for agentic reinforcement learning (RL) training. Designed for Kimi K3, this distributed system utilizes Firecrack…

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High-Performance C++20 Optical Neural Network (ONN) Simulator

A new C++20 simulator for Optical Neural Networks (ONNs) delivers high‑performance hardware‑level acceleration by modeling matrix multiplication via light interference in Mach‑Zehnder Interferometer (MZI) meshes. The too…

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[PR] Native 2.05x LOSSLESS F32 Compression just dropped in llama.cpp (QFX32/QFX16)

The llama.cpp PR #26136 adds native lossless 2.05× compression for FP32 weights, reducing them to 15.64 bits per weight while preserving exact bit‑for‑bit reconstruction and baseline perplexity. It also achieves 1.14× lo…

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Open source AI systems for fintech: code, architecture, docs

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[Project] CrowdTensor: volunteer LoRA training that survives intermittent GPUs (7B proof + live beta)

CrowdTensor is a decentralized framework designed for volunteer LoRA training that allows contributors to submit model updates without remaining online for the entire process. The system utilizes a "Campaign" structure w…

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Sakana AI Releases Fugu-Cyber: An Orchestration Model Reporting 86.9% on CyberGym and 72.1% on CTI-REALM

Sakana AI introduced Fugu-Cyber, a security-focused orchestration model achieving 86.

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Meet Open Dreamer: A JAX/Flax Reproduction of the Dreamer 4 World Model Pipeline, With the Full Training Recipe Published

Open Dreamer is a JAX/Flax reproduction of the Dreamer 4 world model pipeline that eliminates VAE, KL, and adversarial losses. It utilizes a shared block-causal transformer for both a causal video tokenizer and an action…

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Datalab’s Marker 2 vs MinerU, Docling and LiteParse: 76.0 on olmOCR-bench at 5× MinerU’s Throughput

Datalab's Marker 2 achieves 76.0 on the olmOCR-bench, outperforming MinerU, Docling, and LiteParse while maintaining 5× MinerU's throughput. It is designed as a high-performance PDF parser pipeline for converting documen…

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DKV: Open-source KV-cache compression for scalable long-context LLM inference

I've open-sourced DKV, a KV-cache compression architecture for long-context LLM inference. The project explores anchor-based KV representations, joint low-rank compression, exact re

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30+ officially free AI/ML books, all in one curated repo

A curated repository, Awesome Free AI Books, aggregates over 30 legally free AI/ML textbooks spanning topics like Deep Learning, NLP, and AI

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D] Exploring whether a local desktop interface can make mechanistic interpretability workflows more accessible

The post investigates whether a fully local desktop interface can simplify mechanistic interpretability workflows. The author presents CORTEX // MODEL OBSERVATORY, a native Windows application using WebView2 and local IP…

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Mapping Hidden-State Attractors in TinyLlama: Building a Runtime Map of LLM Dynamics

This research introduces a framework for mapping hidden-state attractors in TinyLlama, aiming to build a runtime map of LLM dynamics during inference. The focus is on tracking the model's internal state transitions rathe…

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I have built a interactive website to study Transformer architecture

I have written tones of lecture notes on machine learning, though most of them focus heavily on mathematical derivations. Recently, I decided to build an interactive, “learning compan

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Meet Gigatoken: A Rust BPE Tokenizer that Encodes Text at 24.53 GB/s, up to 989x Faster than HuggingFace Tokenizers

Meet Gigatoken: A Rust BPE Tokenizer that Encodes Text at 24.53 GB/s on a 144-core AMD EPYC 9565, against 24.8 MB/s for HuggingFace tokenizers and 36.0 MB/s for tiktoken on the same m

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Accidentally quadratic: buffer copies made MCTS in DeepMind's mctx 3× slower

I'm training an AlphaZero-style agent (Gumbel MuZero via DeepMind's mctx ) to lay out working factory modules for Factorio: the network places machines, belts and inserters on a grid, and the rewa

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Poolside Releases Laguna S 2.1, an Open-Weight Agentic Coding Model Punching Above Its Weight Class on SWE-Bench Multilingual

Poolside has released Laguna S 2.1, an open-weight agentic coding model utilizing a Mixture-of-Experts (MoE) architecture. The 118B-parameter model activates approximately 8B parameters per token, achieving 78.5% on SWE-…

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samemind 0.6 — universal git-native memory for AI coding agents: switch engines, same mind (12 engines, one command, MIT)

Samemind 0.6 introduces universal git-native memory for AI coding agents, enabling seamless switching between 12 different engines while maintaining consistent memory state through git-based persistence. The open-source …

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NVIDIA Releases Cosmos 3 Edge: A 4B-Parameter Open World Model That Reasons and Generates Robot Actions On-Device

NVIDIA just put a full world model — perception, prediction, and action — inside a 4B model that runs on the robot itself, no cloud round-trip. I spent some time analyzing the Cosmo

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QuOptuna: a zero-install AutoML tool (uvx quoptuna) that tunes quantum + classical ML models with Op

QuOptuna is an open-source, zero-install AutoML library runnable via uvx quoptuna that performs a single Optuna search across 21 quantum and classical classifiers, with early pruning, fairness audits, SHAP explanations, …

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I built a small AI research platform to test whether controlling reasoning beats simply reasoning more. Here are the results.

An experimental AI platform called Sue was developed to optimize reasoning control — determining when to reason, how much reasoning is required, what evidence to gather, and when to avoid model calls entirely. Early benc…

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NVIDIA released DeepStream 9.1: build multi-camera 3D tracking pipelines from natural-language prompts (MV3DT + AutoMagicCalib)

NVIDIA released DeepStream 9.1 (their GStreamer-based video analytics SDK). It ships 13 agentic skills for coding agents — you describe a multi-camera pipeline in natural language, an

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List of 100+ Agentic AI and ML Tutorial with Codes [Open Sourced]

▶ Build an Agentic Event Venue Operator with MongoDB Atlas, Voyage, and LangGraph [Full Codes] [Tutorial Article] ▶ How to Build a T4-Friendly Autonomous Data Science Agent

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htop for vLLM see exactly where every GB of VRAM goes during inference (+ measured quantization savings, not guessed)

The post introduces an htop‑style monitoring tool for vLLM that visualizes VRAM usage of each tensor during inference, showing exact memory allocation instead of estimates, and reports measured quantization savings that …

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Sakana AI’s Error Diffusion Trains Dale-Compliant Dual-Stream Networks, Reaching 96.7% MNIST and 61.7% CIFAR-10 Without Backpropagation

Sakana AI's "Diffusing Blame" method trains Dale-compliant dual-stream excitatory/inhibitory networks without backpropagation, using Error Diffusion with non-negative weights and modulo error routing. The approach achiev…

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Zyphra Releases ZUNA1.1: An Apache 2.0 EEG Foundation Model With Variable-Length Inputs From 0.5 To 30 Seconds

Zyphra Releases ZUNA1.1: An Apache 2.0 EEG Foundation Model With Variable-Length Inputs From 0.5 To 30 Seconds Most EEG foundation models only work on the clean, fixed-length slices

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A continuous dynamical system drives word embeddings to a stable equilibrium — 4 statistical invariants stay constant, and word relations get 4× stronger vs. controls

Research demonstrates that pre-trained word embeddings evolve through a continuous dynamical system into a stable equilibrium, marked by four invariant statistical properties. Over 5,000 integration steps using GloVe 300…

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[Super Interesting Voice AI Update] Voxtral: Mistral's full audio stack, built for voice agents. Voxtral Transcribe delivers the lowest word error rate of any transcription API. Speaker diarization, word-level timestamps, and context biasing across 13 languages.....

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NVIDIA AI Releases Nemotron 3 Embed: An Open Embedding Collection Whose 8B Checkpoint Ranks #1 on RTEB

NVIDIA AI released Nemotron 3 Embed, an open embedding collection featuring three checkpoints (8B, 1B, and 1B-NVFP4) built on Ministral with bidirectional attention masking and token averaging

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Moonshot AI just released Kimi K3. It is a 2.8-trillion-parameter model with native vision and a 1-million-token context window. Moonshot calls it the world’s first open 3T-class model.

Moonshot AI has launched Kimi K3, a 2.8‑trillion‑parameter open MoE model that it claims is the world’s first 3‑trillion‑parameter open model. The system incorporates Kimi Delta Attention, a hybrid linear attention mecha…

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SPROG-9M: how far a 9-million-parameter, LLM-free model gets on grade-school math

The SPROG-9M model is a 9-million-parameter, LLM-free architecture designed to perform grade-school mathematics. The research explores the performance limits of such small-scale models on mathematical reasoning tasks wit…

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Thinking Machines Lab Releases Inkling: A 975B-Parameter Open-Weights Multimodal MoE With 41B Active Parameters And Controllable Thinking Effort

Thinking Machines Lab has released Inkling, a 9

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We're Hiring: ML Engineers (2–4 Years Experience) | Deccan AI

Deccan AI is recruiting ML Engineers with 2‑4 years of experience to drive agentic AI development. The position blends research and applied engineering, collaborating with frontier AI labs on model creation, evaluation, …

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I built samemind — your AI agent's memory as plain markdown in git. No database, no cloud, no API key. Works across 12 engines (Claude Code, Cursor, opencode…)

I built samemind, a lightweight memory system that stores an AI agent’s state as plain Markdown files in a Git repository, eliminating the need for databases, cloud storage, or API keys. The solution is engine-agnostic, …

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Mistral AI Releases Robostral Navigate: An 8B Model Enabling Robots to Navigate Complex Environments Using a Single RGB Camera

Mistral AI introduced Robostral Nav

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🌊 Meet Shippy: The AI agent turning complex maritime data into cited intelligence in minutes

Shippy is an AI agent that ingests and interprets complex maritime data, delivering cited intelligence within minutes. It automates data extraction and citation, streamlining analysis for maritime stakeholders. The tool …

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Four statistical invariants emerge in self-organizing semantic spaces (effective dimension consistently converges to ~8)

Research into self-organizing semantic embedding spaces reveals four consistent statistical invariants: statistical equilibrium, heavy-tailed organization, multi-scale fractality, and effective dimension reduction. Notab…

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Built a ~0-cost memory layer for local LLMs — long context without the KV-cache, plus a private offline assistant you talk to. No GPU needed.

A new open-source memory layer has been developed to enable long context windows for local LLMs without the heavy VRAM requirements of a standard KV-cache. By storing facts in a flat integer store outside the model's con…

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A tiny deterministic memory you graft onto any local model — and it takes the memory cost of AI to ~zero

A new deterministic memory layer can be grafted onto frozen local models, such as GPT-2, Llama, and Qwen, to enable the retention and revision of facts beyond the standard context window. This lightweight addition requir…

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Best ML Model for Vehicle Kerb Weight Prediction?

The Reddit post asks for recommendations on the best machine learning models for regression of vehicle kerb weight using engineering specifications such as dimensions, engine displacement, power, and drivetrain. The auth…

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GPT-2 Fully Decoded Internally Black Box Fully Open With Demo

Researchers claim to have fully decoded the internal mechanisms of GPT-2, opening the black box with a public

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[P] A per-token memory organ that lets a frozen GPT-2 recall and revise facts beyond its context window (0/8 → 8/8, one command, reproducible)

Researchers added a per-token integer fact-table to frozen GPT‑2, integrating it into the model’s logits via confidence weighting to provide live memory beyond the native 1,024-token window. With facts inserted roughly 1…

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[Interesting Release] Vibe by Mistral’s Code Mode launches remote coding agents from a dedicated web surface. Connect to GitHub, manage your projects, and see coding sessions through to a pull request. Sessions run in parallel, persist while your machine is off, and each runs in an isolated sandbox.

We need to output HTML: ... and then Read original . No extra text before or after. We need to read the news: Title: [Interesting Release] Vibe by Mistral’s Code Mode launches remote coding agents from a dedicated web su…

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Fully decoded GPT-2's internal language — complete two-way dictionary, all artifacts downloadable, verify it yourself in 5 commands

We need to produce only HTML with containing 2-4 sentences concise summary, then link to original source with proper attributes. Use only info provided. No extra text. Must be valid HTML only. No extra tags. So output sh…

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[R] Benchmarking and mitigating recursive LLM state collapse on edge hardware: Introducing the Drift Gauntlet & CSMS

Title: [R] Benchmarking and mitigating recursive LLM state collapse on edge hardware: Introducing the Drift Gauntlet &amp; CSMS Hey r/MachineLearning , https://www.codabench.o

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[Really Cool Research from NVIDIA] They Released Nemotron-Labs-3-Puzzle-75B-A9B: A Compressed Hybrid MoE LLM Delivering 2.03x Server Throughput at Matched User Throughput

NVIDIA introduced Nemotron-Labs-3-Puzzle-75B-A9B, a compressed variant of Nemotron-3-Super, reducing total parameters from 120.7B to 75.3B while maintaining the same 88-block hybrid Mamba-Transformer MoE architecture. Th…

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Robbyant Releases LingBot-VLA 2.0: An Open-Source 6B Vision-Language-Action (VLA) Model for Cross-Embodiment Robot Manipulation

Robbyant has released LingBot-VLA 2.0, an open-source 6B Vision-Language-Action model designed for cross-embodiment robot manipulation, eliminating the need for per-robot retraining. Built on a Qwen3-VL-4B-Instruct backb…

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Ant Group’s Robbyant Open-Sources LingBot-Vision: A 1B Boundary-Centric Vision Foundation Model for Dense Spatial Perception

Ant Group’s Robbyant has open-sourced LingBot-Vision, a 1.1B parameter

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NVIDIA Releases Audex (Nemotron-Labs-Audex-30B-A3B): A Unified Audio-Text LLM That Preserves the Text Intelligence of Its Backbone

NVIDIA has released Audex (Nemotron-Labs-Audex-30B-A3B), a 30B MoE language model with 3B active parameters that unifies audio and text processing while preserving text reasoning capabilities. Built on the text-only Nemo…

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Liquid AI Open-Sources Antidoom: A Final Token Preference Optimization (FTPO) Method that Reduces Doom Loops in Reasoning Models

Liquid AI has open-sourced Antidoom, a Final Token Preference Optimization (FTPO) method designed to eliminate repetition "doom loops" in reasoning models. Unlike traditional fixes that reweight the entire output distrib…

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LingBot-Depth 2.0 Reports Best RMSE on 7 of 8 Masked and Sparse Depth Benchmarks, Built on Newly Open-Sourced Apache-2.0 Vision Backbones

User Safety: safe

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how did we make deepseek outperform opus [harness eng deep dive]

We need to output only valid HTML, starting directly with . Must be concise 2-4 sentences summary, technical language, no invented info, only what's provided. The news title is "how did we make deepseek outperform opus […

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Who've told you that distributed training is impossible? Democratizing AI: The Psyche Network Architecture

The Psyche Network Architecture aims to democratize AI by enabling distributed training, challenging the notion that such a process is impossible. This approach focuses on making high-scale model training more accessible…

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NVIDIA HORIZON: A Hands-Free Agent that Evolves Git Worktrees and Hits 100% RTL Benchmark Completion

NVIDIA's HORIZON enables hands-free agent-driven evolution of Git worktrees, achieving a full RTL benchmark. The system automates code compilation and progress tracking using isolated git worktrees and hardware-level age…

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NVIDIA AI Introduces ASPIRE: A Self-Improving Robotics Framework Reaching 31% Zero-Shot on LIBERO-Pro Long Tasks

NVIDIA AI has introduced ASPIRE (Agentic Skill Programming through Iterative Robot Exploration), a self-improving robotics framework designed to ensure experience compounds over time. Unlike traditional robot-coding agen…

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Mistral AI Releases Leanstral 1.5: An Apache-2.0 Lean 4 Code Agent Model Solving 587 of 672 PutnamBench Problems

Mistral AI has released Leanstral 1.5, an Apache‑2.0 licensed Lean 4 code agent model that solves 587 of 672 PutnamBench problems. The model contains 119 billion mixture‑of‑experts parameters with 6.5 billion active weig…

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Meet WebBrain: An Open-Source, Local-First AI Browser Agent That Reads Pages and Automates Tasks in Chrome and Firefox

We need to output only valid HTML, starting directly with . Provide concise 2-4 sentence summary. Must include link to original source with attributes. Must not include any extra text before or after. Must be valid HTML …

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Using Lift to Turn Research PDFs into Structured JSON with Controlled, Schema-Guided Field-Level Evaluation

Lift is an open PDF-to-structured-data model designed to move beyond basic text dumping and regex-based extraction for document mining. The project provides a tutorial and benchmark for converting research PDFs into stru…

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Feedback wanted: MCPg — safe PostgreSQL MCP server for AI agents

MCPg is an open-source PostgreSQL Model Context Protocol (MCP) server designed for AI agents and database workflows. It emphasizes safe-by-default operations and provides PostgreSQL-aware tooling compatible with clients …

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NVIDIA Releases Nemotron-Labs-TwoTower: an Open-Weight Diffusion Language Model Built on a Frozen Autoregressive Nemotron-3-Nano-30B-A3B Backbone

NVIDIA has released Nemotron-Labs-TwoTower, an open-weight diffusion language model utilizing a hybrid Mamba-2, attention, and MoE backbone based on Nemotron-3-Nano-30B-A3B. The architecture employs a "two-tower" approac…

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Google AI Introduces TabFM: A Hybrid-Attention Tabular Foundation Model for Zero-Shot Classification and Regression

Google Research has introduced TabFM, a hybrid-attention foundation model designed for tabular classification and regression. The model enables zero-shot predictions by processing entire datasets as a single prompt in on…

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I mapped the "Dynamic Grammar" of LLMs: How hidden states move, stabilize, and decide

An independent researcher has analyzed the internal dynamics of Transformers by tracking the geometric trajectories of hidden states across layers during inference. The findings suggest a universal "dynamic grammar" rega…

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Open handoff: Thought Tree, a markup/spec idea for modular LLM workflows

Thought Tree is proposed as a markup and specification designed to facilitate modular LLM workflows. The project aims to create an open handoff standard for structuring complex machine learning processes. Read original

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🌍 OlmoEarth v1.2 switches to RoPE for cleaner satellite-image embeddings

&#32; submitted by &#32; /u/ai2_official &#32; to &#32; r/machinelearningnews [link] &#32; [comments]

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I was able to concatenate two files in the proprietary `.jgen` format used by Qwen1.5-0.5B and generate output without any garbled text. It is also possible to visualize which parts of the model are being utilized.

User Safety: safe

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Local LLM Long-Context problems

Addressing Long-Context Constraints in Local LLM Deployments via RIS-Kernel A potential breakthrough in local Large Language Model (LLM) deployment suggests that "RIS-Kernel" may provide a viable workaround for the persi…

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Qwythos-9B v3 released! We have noticed some issues in agentic harnesses due to issues with preserved and adaptive thinking in the chat template. Its a night and day difference, please redownload the GGUF / Safetensor.

Qwythos-9B v3 Released: Optimizing Chat Templates for Agentic Reasoning EmperoAI has released version 3 of Qwythos-9B, specifically addressing critical failures in agentic harnesses by refining preserved and adaptive thi…

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Liquid AI Ships LFM2.5-230M with llama.cpp, MLX, vLLM, SGLang, and ONNX Support for On-Device Inference

Liquid AI Introduces LFM2.5-230M: A Compact Edge AI Model for On-Device Inference Liquid AI has released LFM2.5-230M, a 230M-parameter open-weight model designed for on-device inference. It leverages the LFM2 architectur…

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Mistikguard – Lightweight Python library for memory integrity in LLM applications

We need to output HTML article. Use only provided info. Title: Mistikguard – Lightweight Python library for memory integrity in LLM applications. Summary: brief. Body with paragraphs, subheadings. Provide link to origina…

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DeepSeek Releases DSpark, a Speculative Decoding Framework That Accelerates DeepSeek-V4 Per-User Generation 60–85% Over MTP-1

Most speculative decoding makes you pick one: a fast parallel drafter, or an accurate sequential one. is that a false choice? — and DeepSeek's DSpark just showed why. They released

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Built a causal graph RAG — +0.33 on multi-hop vs flat RAG with Haiku

Implementing Causal Graph RAG to Enhance Multi-Hop Reasoning and Root-Cause Analysis A new approach to Retrieval-Augmented Generation (RAG) leverages directed causal graphs instead of traditional text chunking, resulting…

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Built a code review pipeline on top of qwen2.5-coder — runs locally, zero code sent anywhere, finds AI-generated code bugs

Been running qwen2.5-coder locally for code review and the results are genuinely useful. Built a full pipeline around it called DevScan AI. What it does: - Fetches code from any

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Real-Time Voice AI Hears but Does Not Listen (arXiv:2606.26083)

Real-Time Voice AI Hears but Does Not Listen: The Gap Between Speech Recognition and Paralinguistic Understanding A recent study evaluates the ability of state-of-the-art omni-modal voice systems to interpret paralinguis…

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Baidu Releases Unlimited OCR, a 3B Model That Keeps the KV Cache Flat for Long-Document Parsing

Baidu Introduces Unlimited OCR: A 3B MoE Model Optimizing Long-Document Parsing via R-SWA Baidu has open-sourced "Unlimited OCR," a 3-billion parameter Mixture-of-Experts (MoE) model designed to eliminate the linear memo…

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A new paper finds the matrix of 84 models × 133 AI benchmarks is basically rank-2 — two numbers predict ~90% of every model's scores

Low-Rank Approximation of LLM Performance: Two Factors Explain 90% of Benchmark Variance A recent analysis of 84 frontier AI models across 133 benchmarks reveals that the resulting performance matrix is approximately ran…

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DFlash Speculative Decoding Drafts Whole Token Blocks in Parallel for Up to 15x Higher Throughput on NVIDIA Blackwell

DFlash: Accelerating LLM Throughput via Parallel Block Diffusion Speculative Decoding Researchers from UC San Diego's z-lab have introduced DFlash, a novel speculative decoding framework that utilizes a lightweight block…

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Datalab Releases lift: A 9B Open-Weights Vision Model That Extracts Structured JSON From PDFs Using Schemas

Datalab Introduces lift: A 9B Open-Weights Vision Model for Schema-Constrained PDF Extraction Datalab has released lift , a 9-billion parameter open-weights vision model designed to solve the reliability gap in structure…

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[Release] HyperspaceDB v3.1.0: We built a Rust-native Spatial AI Engine that uses 50x less RAM than Milvus/Chroma via Matryoshka Cascades and Lorentz Geometry.

Hey everyone! 👋 If you’re building RAG or autonomous AI agents, you’ve probably hit the &quot;Vector DB Wall&quot;: flat Euclidean vectors suck at modeling complex hierarchical reasoning, and loa

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I trained a tiny (6M-param) attention-free model you can chat with, generates a sentence in ~5 ms on CPU, no GPU, no pretrained embeddings. Honest writeup.

Efficient Sequence Generation: A 6M-Parameter Attention-Free Model for Premise Synthesis A researcher has developed a lightweight, 5.98M-parameter sequence model capable of generating sentences in approximately 5ms on a …

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Autonomous Security Orchestration Layer

Autonomous Cyber Immune System (ACIS): A New Paradigm in Autonomous Security Orchestration The Autonomous Cyber Immune System (ACIS) introduces a self-evolving, distributed intelligence framework designed for adaptive de…

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How are you all testing LLM apps for prompt injection?

Building stuff with LLMs and trying to figure out a real testing process before shipping. Most guides online are surface level. Anyone actually doing red-team style testing on their own LLM integra

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Qwythos-9B-Claude-Mythos-5 Fine Tune with 1M Context has been released!

Release of Qwythos-9B-Claude-Mythos-5: Expanding Context Windows to 1M Tokens A new fine-tuned model, Qwythos-9B-Claude-Mythos-5, has been released, boasting a significantly expanded context window of up to 1 million tok…

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How different is a generate verify revise loop from best of n when the grader never sees the reference

Comparative Analysis: Generate-Verify-Revise Loops vs. Best-of-N Sampling in Blind Grading An exploration of the structural and functional differences between iterative refinement loops and Best-of-N sampling, specifical…

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VibeThinker-3B: A 3B Dense Reasoning Model Built on Qwen2.5-Coder-3B With the Spectrum-to-Signal Post-Training Pipeline

VibeThinker-3B: Scaling Reasoning Capabilities via the Spectrum-to-Signal Post-Training Pipeline VibeThinker-3B is a high-performance 3B dense reasoning model based on Qwen2.5-Coder-3B, utilizing a novel "Spectrum-to-Sig…

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🚀 relay-ai: a CLI that routes any AI provider into Claude Code, Codex (CLI & App), and Claude Desktop / Cowork

Introducing relay-ai: A Versatile CLI for Cross-Provider AI Routing relay-ai is a new Command Line Interface (CLI) tool designed to decouple AI-powered coding tools from their native providers, allowing developers to rou…

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Liquid AI Introduces LFM2.5-Embedding-350M and LFM2.5-ColBERT-350M: Dense Bi-Encoder and Late-Interaction Models for Fast Multilingual Search Across 11 Languages

Liquid AI Unveils LFM2.5 Retrieval Models: High-Performance Dense Bi-Encoder and Late-Interaction Architectures Liquid AI has expanded its LFM family with the release of LFM2.5-Embedding-350M and LFM2.5-ColBERT-350M, two…

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We found a boundary-specific role-transition effect inside BERT: smaller semantic gaps predict more frequent role flips at Layer 2→3

Boundary-Specific Role-Transition Effects in BERT: Analyzing Semantic Gap Impacts on Layer 2→3 Recent research into the representation dynamics of Transformer encoders reveals a specific role-transition effect between la…

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📮 ML Digest: Everest-bound robots and World Cup AI

ML Digest: From High-Altitude Robotics to Semi-Automated Sports Officiating A summary of recent advancements in machine learning, featuring updates on LLM safeguard implementation, autonomous robotic navigation in extrem…

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