Can LLMs Engineer Their Own Agent Harness? ByteDance Seed’s HarnessDev Says Only 34 of 64 Changes Generalize

Most agent benchmarks freeze the harness and grade the model inside it. That hides the part of the system doing much of the work, and ByteDance Seed just built a benchmark that grades

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Open-source fused Gated DeltaNet-2 training kernels for TPU v5e in JAX/Pallas

I released an independent open-source implementation of fused Gated DeltaNet-2 training kernels for TPU v5e using JAX/Pallas. Repository: https://github.com/Akseleu-J/atomic-op

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Solving the 30-Year Memory Paradox: Why Mamba Forgets, and How Lie-Group SO(2) Unitary Rotation Unlocks Lossless State Spaces (QU-SSM)

For over thirty years, recurrent sequence modeling has been haunted by an unsolved mathematical paradox. Ever since Hochreiter (1991) and Bengio (1994) formulated the vanishing and exploding grad

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DeepSeek AI Released DeepSeek-V4.1-Flash with 1M Context, FP4 KV Cache, and Cross-Layer Attention Reuse

Sparse attention already cut long-context compute. The KV cache sitting in HBM and on SSD is now the bottleneck DeepSeek AI went after, and they cut theirs to 890 bytes per token. T

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Breaking the Transformer Memory Wall: How Isometric Associative Memory (ISOM) Achieves O(1) Inference at 128K Context (Open Weights & Benchmarks)

Researchers have developed Isometric Associative Memory (ISOM), an open-source architecture that maintains flat inference memory usage regardless of context length, addressing the transformer memory wall where Key-Value …

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DePEFT: Crowdsourcing LLM training/fine-tuning without a centralized cloud.

A while ago, I successfully trained a tiny 80M parameter language model from scratch using the TinyStories dataset. It worked surprisingly well and could generate coherent little stories! Inspired

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Neve - Towards a Unified Programming Model for the Complete Deep Learning Stack

  submitted by   /u/Tryingyang   to   r/machinelearningnews [link]   [comments]

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[R] Spanda: Fast Lexical Entropy Matches DeBERTa Semantic Uncertainty—Until Frontier Models Break It

A new preprint introduces Spanda, a fast lexical entropy method for uncertainty quantification that matches DeBERTa-based Semantic Entropy performance without requiring GPU-intensive clustering. Benchmarks across 1.5B to…

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NVIDIA Releases Personal AI Router (PAIR): An Open Source Virtual Inference Router that Distributes Local AI Requests Across RTX, DGX Spark, and Mac Nodes

NVIDIA Releases Personal AI Router (PAIR): An Open Inference Router That Turns The RTX, DGX Spark And Mac Boxes You Already Own Into One Local AI Cluster. No new cluster API. No age

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Meta AI Released Muse Spark 1.3: An Agentic Coding Model That Uses ~20% Fewer Tool Calls and ~25% Fewer Tokens Than Muse Spark 1.2

Meta AI introduced Muse Spark 1.3, an agentic coding model that reduces tool calls by ~2

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Perplexity Open Sources Lily: A Rust + Metal Inference Engine for Qwen3.6-35B-A3B on Apple Silicon

Perplexity has open-sourced Lily, a specialized local inference engine developed in Rust with hand-written Metal kernels. Unlike general-purpose runtimes, Lily is optimized specifically for the Qwen3.6-35B-A3B model on A…

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Researchers from Princeton, Ant Group and Stanford Introduce AQuA: A Two-Part Agentic Framework for Autonomous Factor Discovery and Model Development in Quantitative Finance

Researchers from Princeton, Ant Group and Stanford introduced AQuA, a two‑part agentic framework for autonomous factor discovery and model development in quantitative finance. The framework separates symbolic factor disc…

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Keenable AI Open-Sources NEEDLE: A Live Search Benchmark That Rebuilds Its Query Set Every Hour

Most search benchmarks are a fixed question set with a public answer key. That's not a benchmark for agents — because an agent with a fetch tool can just download the key mid-evaluati

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Google AI Introduces EnvHarness: A Programmable Layer That Turns Static Agent Environments Into Adaptive Training Worlds

Google AI has introduced EnvHarness, a programmable layer that transforms static agent environments into adaptive training worlds. It wraps existing environments via standard reset/step interfaces, allowing LLM designers…

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Ant launches Ling-3.0-flash-Fin: 124B MoE, 5.1B active, 262K context

Ant's Ling team has released Ling-3.0-flash-Fin, a finance-focused mixture-of-experts model built on Ling-3.0-flash. The model has 124B total parameters and about 5.1B active. OpenRo

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Vercel AI Open-Sources vgpu: A TypeScript WebGPU Library for AI Agent Shaders

Vercel open-sourced the WebGPU library it built to ship the shaders on vercel.com. vgpu runs the same shader in the browser, in headless Node.js, and in your CI tests. • MIT licen

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Google AI Releases Gemini 3.5 Transcribe: A Speech-to-Text Model Reporting 2.6% Average WER Across 85+ Languages

Google AI has released Gemini 3.5 Transcribe, a speech-to-text model achieving 2.6% average Word Error Rate across 85+ languages. The release includes two variants: gemini-3.5-transcribe-live for real-time WebSocket stre…

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Z.ai Releases GLM-5.3-Flash: A 320B-A18B Natively Multimodal MoE With a 1M-Token Context

Z.ai has released GLM-5.3-Flash, a natively multimodal Mixture-of-Experts (MoE) model featuring 320B total parameters with 18B activated per token. The architecture employs a hybrid sparse-plus-linear attention stack and…

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[Release] Turing Engine: Serve LLaMA-3.1-70B, Qwen-2.5-72B & DeepSeek on a Single 24GB GPU (3,064 tok/s, 75% KV Compression, Unsloth Checkpoint Support)

Turing Engine is an open‑source framework that lets 70B–120B frontier models such as LLaMA‑3.1‑70B, Qwen‑2.5‑72B, and DeepSeek run on a single 24 GB consumer GPU (e.g., RTX 3090/4090, NVIDIA L4) with 75% KV‑cache compres…

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YAML → MCP tools for vector databases

VectorSmith is an open-source Python library that enables developers to define vector database tools in YAML and expose them to LLMs through the Model Context Protocol (MCP). It eliminates the need to write custom MCP se…

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Ant Group releases six Ling-3.0 base checkpoints, including WSM-merged stages

Ant Group's Ling team has released six public base checkpoints: pretrained, mid-trained, and WSM-merged stages for each of Ling-3.0-tiny and Ling-3.0-flash. That is two sizes × three

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Best GPU Neoclouds 2026: CoreWeave, Nebius, Lambda, Crusoe, and Groq Ranked by Published Pricing and Contracted Power

A 2026 comparison of GPU Neoclouds reveals significant pricing disparities, with Nebius offering HGX H100 instances at $3.85 compared to CoreWeave's $6.16. Lambda provides the lowest published B200 rates, while Nebius an…

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🔍 What kinds of training data shape different AI capabilities?

The post investigates how different training data modalities — text, code, images, and multimodal datasets — determine the capabilities of AI models. It highlights that data quality, scale, and domain relevance directly …

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I'm a solo dev building a sub-billion edge model (ORE-892M) that replaces Transformer Attention with Continuous-Time Kuramoto Swarm Physics.

Hey everyone, While the mainstream AI ecosystem is racing towards 70B+ parameter scaling, I’ve been researching ways to push high-fidelity deductive reasoning into sub-billion param

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Liquid AI Releases LFM2.5-DSpark Draft Models That Deliver Up to 3.18x Faster Decoding Without Changing Model Outputs

The user wants me to summarize the provided news into a brief HTML summary. The news is about Liquid AI releasing LFM2.5-DSpark draft models that deliver faster decoding. I need to write a concise 2-4 sentence summary in…

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The evolution of policy gradient methods as a chain of problems and fixes

The author, a reinforcement learning PhD, created a concise, interactive article that traces the evolution of policy gradient methods, showing how each new algorithm addressed the most critical shortcomings of its predec…

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Hi everyone, I’ve been working on an independent conceptual paper and architecture called FRONT 3.1, and I wanted to share it with this community to get your techn

The author presents an independent conceptual paper and architecture called FRONT 3.1, arguing that current large language models lack any persistent internal somatic or affective state. They assert that cognition requir…

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🔬 Olmo’s openness reveals when an LLM only sounds like it knows a drug

  submitted by   /u/ai2_official   to   r/machinelearningnews [link]   [comments]

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ByteDance Seed and Tsinghua AIR Introduces CUDA Agent: A Large-Scale Agentic RL System for CUDA Kernel Generation

ByteDance Seed and Tsinghua AIR have released CUDA Agent, an agentic reinforcement learning system that trains a large language model to write GPU kernels that beat a compiler. The ga

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Does llms.txt actually help a model read a site? We ran a sealed 3-condition bench on 8 arms (4 local Q4, 4 frontier cloud) — and published the number that cuts against our own registered result

A research lab conducted a sealed benchmark testing whether llms.txt files improve model performance across 8 arms (4 local Q4 and 4 frontier cloud models) using 30 standardized questions about their own website content.…

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I mapped 7 distinct types of AI systems into a spectrum — here's the framework

https://preview.redd.it/v22ublznwvmg1.png?width=1024&format=png&auto=webp&s=3868fd41882a17931859209bae67440825652111 I've been working in the eCommerce/AI space and kept running int

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Finally very close to releasing a model

A new model is being developed with a specialized architecture optimized for resource-constrained devices like Raspberry Pi and industrial hardware. To enhance responsiveness and cold-start speeds, the architecture incor…

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Mistral AI Releases Shieldstral 1.0 3B: An Open-Weights Policy-Adaptive Multimodal Safety Classifier Matching Models 7× Its Size

Mistral AI Releases Shieldstral 1.0 3B: An Open-Weights Policy-Adaptive Multimodal Safety Classifier Matching Models 7× Its Size It's a policy-adaptive multimodal safety classifier.

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NVIDIA AI Releases NOOA: An Object-Oriented Python Framework That Turns an AI Agent Into a Single Python Class

NVIDIA AI has introduced NOOA, an object‑oriented Python framework that encaps

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Caught a 3B local model hallucinating a kubectl flag — sentence-level claim verification (open-source, Rust, benchmark included)

A 3‑billion‑parameter local model was observed hallucinating a kubectl flag, illustrating the trust problem in retrieval‑augmented generation. The model generates fluent text without citing sources, making it difficult t…

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Prime Intellect Releases Prime Agent: An Open-Source RLM Harness Where Sub-Agents Are Function Calls Inside Persistent IPython Kernel

Prime Intellect has released Prime Agent, an open‑source reinforcement learning harness that relies on a persistent IPython kernel as its sole tool. Sub‑agents are invoked as function calls, spawning independent IPython …

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Tencent Releases New AI Can Understand and Edit 3D Models With Text

  submitted by   /u/Delicious-Shower8401   to   r/machinelearningnews [link]   [comments]

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Meta AI Releases Muse Code (Beta): A Terminal Coding Agent Powered by the New Muse Spark 1.2 Model

Meta Superintelligence Labs has released Muse Code (Beta), a terminal-based coding agent powered by the new Muse Spark 1.2 model. The tool features asynchronous background agents that persist throughout sessions rather t…

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NVIDIA Releases Alpamayo 2 Super: A 34B Open Vision-Language-Action Model for Robotaxis and Autonomous Driving Under OpenMDW-1.1

NVIDIA Releases Alpamayo 2 Super: A 34B Open Vision-Language-Action Model for Robotaxis and Autonomous Driving Under OpenMDW-1.1 Here are some key takeaways: 1. The architectur

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CopilotKit Open Sources Channels SDK: An MIT Licensed Library That Runs Any AG-UI Agent Inside Slack And Microsoft Teams

CopilotKit has open-sourced its Channels SDK under the MIT license, enabling any AG-UI agent to run natively inside Slack and Microsoft Teams without per-platform code rewrites. The SDK serializes agent messages into an …

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We built an AI upscaling pipeline into our video processing workflow. Pretty happy with the results.

A team integrated an AI upscaling pipeline into their video processing workflow, testing it on older HD and SD footage to recover detail while avoiding the over-sharpened "AI" look. They found notable differences compare…

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Cursor Open-Sources Mixture-of-Kittens (MoK): A Deterministic MoE Training Megakernel for GB300 NVL72 Racks

Cursor has released Mixture-of-Kittens (MoK), a deterministic MoE training megakernel for GB300 NVL72 racks that removes CPU‑GPU synchronization and a separate communication library. The kernel allows per‑operation commu…

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Reflex Open Sources XY: A Rust-Backed Super-Fast Python Charting Library That Keeps 100 Million Point Charts Interactive

Reflex AI has open-sourced XY, a Rust-backed Python charting library that maintains interactive performance at 100 million data points. Benchmarks show near-constant render times: 0.071 seconds at 10,000 points and 0.081…

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How to Secure AI Agents, MCP Servers, and LLM Apps in Production

The article discusses securing AI agents, MCP servers, and LLM applications by addressing emergent risks from model behavior, system prompts, and tool interactions, which traditional CVEs do not cover. It emphasizes that…

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Alibaba Qwen Releases Qwen3.8-Max: A 2.4 Trillion Parameter MoE Model and the Most Capable One in the Qwen Family to Date

Alibaba Qwen has released Qwen3.8-Max, a 2.4 trillion parameter mixture-of-experts model supporting text, image, and video inputs with a 1M context window and open weights coming next week. The model leads the Fable5 lea…

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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

<p class

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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.....

&#32; submitted by &#32; /u/ai-lover &#32; to &#32; r/machinelearningnews [link] &#32; [comments]

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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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