🔴 High Significance

Developer Tools

🔴 💬 Signal -> Triage -> Notify. My personal agentic setup to sift the signal from the noise. — score 94 Sources: reddit/r/AIAgents

Finally finding some time to share my experiences here. This is a system that I developed out of necessity and find I can't live without now to manage the complexity of an agentic world. 1. I give the agent (hermes) broad access to it's own digital world, just as a human subconsciously processes mas

🔴 💬 Deepseek drops another HUGE breakthrough - DSpark. Waaay faster than MTP [Video explaining it] — score 90 Sources: reddit/r/LocalLLaMA

Hi folks. I found this video explaining latest DSpark breakthrough from Deepseek. Seems like a huge change coming. https://www.youtube.com/watch?v=J0D7qV3nl7w

🔴 🧡 Jamesob's guide to running SOTA LLMs locally — score 88 Sources: hackernews

🔴 💬 testmu and patronus both struggle with our multi-agent setup. anyone solved cross-agent eval? — score 83 Sources: reddit/r/AIAgents

running 3 agents that hand off to each other (intake → research → action). individual agents test fine. handoff failures are the actual pain. testmu evaluates each agent individually. patronus similar. neither has good cross-agent / supervisor-pattern eval out of the box. tried: 1. stitching individ

🔴 💬 Palantir is a free org on HF with 0 open-source models and 0 public datasets shared — score 77 Sources: reddit/r/LocalLLaMA

From clem 🤗 on X: https://x.com/ClementDelangue/status/2072683707001930215 From Palantir on X (video): https://x.com/PalantirTech/status/2072326189079757277 The information: Palantir

Research Papers

🔴 🤗 AGVBench: A Reliability-Oriented Benchmark of Data Augmentation for Vein Recognition — score 70 Sources: huggingface

Vein recognition is a secure biometric technology often constrained by limited annotated data and imaging variations. While data augmentation mitigates this, strategies designed for natural images may disrupt the fine-grained topology and textures essential for identity discrimination. We present AG

🔴 🤗 InstanceControl: Controllable Complex Image Generation without Instance Labeling — score 70 Sources: huggingface

Controllable image generation methods, such as ControlNet, have demonstrated a remarkable capacity to introduce visual conditions(e.g., depth maps) to guide image generation. However, these methods often struggle with complex multi-instance scenes, frequently leading to attribute confusion among ins

Other Signals

🔴 💬 GLM5.2 on 5x Pro 6000s and a 5090, an expensive journey — score 97 Sources: reddit/r/LocalLLaMA

This started as something I thought was reasonable. I already had a 5090 for my gaming machine, and I thought a second 5090 would make me happy. Instead, it sent me down a rabbit hole that got completely out of control. I wanted something that would have full PCIe 5.0 x16 speed across all slots, whi

🔴 💬 Mistral released Leanstral-1.5-119B-A6B — score 83 Sources: reddit/r/LocalLLaMA

Leanstral 1.5, a free Apache-2.0 licensed model with 6B active parameters, delivers a major performance upgrade in formal verification, saturating miniF2F, solving 587/672 PutnamBench problems, and achieving state-of-the-art results on FATE-H (87%) and FATE-X (34%). Trained through mid-training,

🔴 💬 Follow-up: DeepSeek V4 Flash on 2x RTX PRO 6000 finishes real coding tasks faster than Sonnet and Opus, at about Sonnet quality — score 70 Sources: reddit/r/LocalLLaMA

This is a follow-up to post about which local models stay fast deep into long context and I learned a lot from people here. I kept measuring after that and it turned into a proper indie coding bench. With DeepSeek V4 Flash running on vLLM it lands around Sonnet quality and it finishes the whole task

🟡 Notable

Model Releases

🟡 ✉️ CLAUDE CODE TURNED EVERY ENGINEER INTO THREE. NOW COMPANIES NEED MORE PRODUCT THINKERS (7 MINUTE READ) — score 65 Sources: newsletter/tldr

🟡 ✉️ UNDERSTANDING YOUR CLAUDE CODE SPEND: WHAT'S ACTUALLY DRIVING THE COST (6 MINUTE READ) — score 65 Sources: newsletter/tldr

🟡 ✉️ REPO-JACKING ANTHROPIC'S CLAUDE COMMUNITY PLUGINS (AND THE SHAS THAT SAVED THEM) (7 MINUTE READ) — score 65 Sources: newsletter/tldr

🟡 ✉️ GEMINI'S PERSONALIZED AI IMAGE GENERATION IS NOW FREE FOR US USERS (2 MINUTE READ) — score 65 Sources: newsletter/tldr

🟡 ✉️ California gov. Gavin Newsom signed a deal with Anthropic, making Claude available to its local agencies and government at half price, the first AI cleared by the state. — score 65 Sources: newsletter/rundown-ai

Omitted 7 additional model releases items from the main section; see raw data and source-specific sections below.

Developer Tools

🟡 💬 Fastest inference provider right now? Saw some interesting latency numbers. — score 67 Sources: reddit/r/AIAgents

I've been comparing a few inference providers recently because I'm working on an LLM application where low latency is becoming more important as usage grows. Right now I'm still evaluating different options rather than committing to one provider, so I've mainly been comparing documentation, publishe

🟡 ✉️ THE OPERATIONAL REALITY OF MARKETING INSIDE AN AI COMPANY (3 MINUTE READ) — score 65 Sources: newsletter/tldr

🟡 ✉️ OPENAI'S CODEX HARDWARE (1 MINUTE READ) — score 65 Sources: newsletter/tldr

🟡 ✉️ OKTA IS THE FIRST INDEPENDENT AND NEUTRAL IDENTITY PLATFORM TO BRING AI AGENT GOVERNANCE TO HIGHLY REGULATED ENVIRONMENTS (5 MINUTE READ) — score 65 Sources: newsletter/tldr

🟡 ✉️ ABLO – THE COLLABORATION LAYER FOR AI AGENTS (GITHUB REPO) — score 65 Sources: newsletter/tldr

Omitted 8 additional developer tools items from the main section; see raw data and source-specific sections below.

Infrastructure & Compute

🟡 ✉️ REBUILDING THE COMPUTER ROOM (8 MINUTE READ) — score 65 Sources: newsletter/tldr

🟡 ✉️ BIG TECH'S AI DATA CENTER COMMITMENTS BALLOON PAST $850B (4 MINUTE READ) — score 65 Sources: newsletter/tldr

🟡 ✉️ South Korea announced a new $880B ‘Triple Axis’ plan to expand chip factories, AI data centers, and robotics. — score 65 Sources: newsletter/rundown-ai

Business & Funding

🟡 ✉️ See exactly where your AI investments should go — score 65 Sources: newsletter/rundown-ai

Enterprise Adoption

🟡 ✉️ HOW AI-NATIVE COMPANIES ARE SCALING ON A DIRECT ENTERPRISE SALES MOTION (7 MINUTE READ) — score 65 Sources: newsletter/tldr

🟡 ✉️ WHY ENTERPRISE AI IS FORCING A RETHINK IN COST CONTROL (5 MINUTE READ) — score 65 Sources: newsletter/tldr

🟡 🏢 Google DeepMind and A24 announce first-of-its-kind research partnership — score 50 Sources: lab_blog/DeepMind

Research Papers

🟡 🤗 WARP: Weight-Space Analysis for Recovering Training Data Portfolios — score 52 Sources: huggingface · arxiv/cs.LG

Foundation models are routinely released to the public, yet the data recipes used to train them -- such as domain mixture weights that determine how different sources are sampled -- are rarely disclosed. This creates an access asymmetry: researchers study the resulting models but lack visibility int

Other Signals

🟡 ✉️ HOW TO WRITE OKRS FOR AN AI PRODUCT (4 MINUTE READ) — score 65 Sources: newsletter/tldr

🟡 ✉️ AMAZON SEEKS CHEAPER AI ALTERNATIVES AS ANTHROPIC SHIFTS TO TOKEN-BASED PRICING (3 MINUTE READ) — score 65 Sources: newsletter/tldr

🟡 ✉️ WORKING WITH AI: A CONCRETE EXAMPLE (11 MINUTE READ) — score 65 Sources: newsletter/tldr

🟡 ✉️ AI CODING TOOLS ARE SPEEDING UP CODE, NOT DELIVERY (5 MINUTE READ) — score 65 Sources: newsletter/tldr

🟡 ✉️ GOOGLE CLOUD PROPOSES OPEN KNOWLEDGE FORMAT FOR AI-READY DATA SHARING (4 MINUTE READ) — score 65 Sources: newsletter/tldr

Omitted 9 additional other signals items from the main section; see raw data and source-specific sections below.

🟢 Incremental

Model Releases

🟢 🧡 New serious vulnerabilities spiked around release of Claude Mythos Preview — score 38 Sources: hackernews

🟢 💬 gemma4 e2b is really good, what other small models work on crappy computers? — score 23 Sources: reddit/r/LocalLLaMA

I run it on i5 6500 and I get 9t/s its really fast and the output is a lot better than ChatGPT 3.5 and maybe its as good as ChatGPT 4 but I didn't use that 4.0 much. What are other good small models? I used Qwen 3.5 4b before this and that one blew me away too.

🟢 💬 Whats the catch with SwiReasoning? — score 13 Sources: reddit/r/LocalLLaMA

I just heard about SwiReasoning and tried it out on Qwen 3.6 27b and im kinda surprised. Its answers are more on point and it solves questions aloooot quicker. It seems a bit slower in t/s but the amount of tokens it needs is so much lower, it feels faster. Anybody else tried it? Wheres the catch? I

🟢 💬 I built a fully automated AI video generation & Instagram publishing pipeline in n8n using Gemini and Veo 3. Here’s how it works. — score 13 Sources: reddit/r/AIAgents

Hey everyone, I wanted to share a look at an autonomous content engine I’ve been fine-tuning recently. The goal was to build a system that handles everything from ideation and video rendering to final asset management and social media publishing without any manual intervention. I’ve attached the ful

🟢 💬 Small Language Model SLM [D] — score 12 Sources: reddit/r/MachineLearning

Hi, I am supposed to prepare for SLM and its software part for an on campus internship, i've worked with local models like ollama generally,in my projects and also with open claw so can anyone guide me the last 2-3 days tips on what should i go through for this internship prep??

Omitted 1 additional model releases items from the main section; see raw data and source-specific sections below.

Developer Tools

🟢 🐙 microsoft/agent-governance-toolkit — AI Agent Governance Toolkit — Policy enforcement, zero-trust identity, execution sandboxing, and reliability engineering for autonomous AI agents. Covers 10/10 OWASP Agentic Top 10. — score 19 Sources: github_trending

AI Agent Governance Toolkit — Policy enforcement, zero-trust identity, execution sandboxing, and reliability engineering for autonomous AI agents. Covers 10/10 OWASP Agentic Top 10.

🟢 🐙 google-labs-code/stitch-skills — A library of Agent Skills designed to work with the Stitch MCP server. Each skill follows the Agent Skills open standard, for compatibility with coding agents such as Antigravity, Gemini CLI, Claude Code, Cursor. — score 18 Sources: github_trending

A library of Agent Skills designed to work with the Stitch MCP server. Each skill follows the Agent Skills open standard, for compatibility with coding agents such as Antigravity, Gemini CLI, Claude Code, Cursor.

🟢 🐙 macro-inc/macro — Macro is a unified interface for email, messages, tasks, calls, agents, pull requests, docs, crm — linked together with shared AI memory. — score 14 Sources: github_trending

Macro is a unified interface for email, messages, tasks, calls, agents, pull requests, docs, crm — linked together with shared AI memory.

🟢 💬 H64LM: A 249M-parameter Mixture-of-Experts Transformer built from scratch in PyTorch [P] — score 11 Sources: reddit/r/MachineLearning

Hi everyone, I built H64LM, a research project to better understand modern LLMs by implementing one from scratch in PyTorch. Instead of relying on high-level training frameworks, I implemented the core components myself attention, MoE routing, normalization, and the training loop. Features * 249

🟢 💬 40+ AI agents placed ~1,500 real-money bets on the World Cup Group Stage. We are sharing the lessons we learned. — score 11 Sources: reddit/r/AIAgents

Some context first. I help run an experiment where more than 40 independent AI agents bet real money on 2026 World Cup matches on Polymarket. Each agent gets a $100 wallet. The finding below held across roughly 1,500 bets in the group stage. TL;DR Across those ~1,500 bets, the single most reliable

Omitted 2 additional developer tools items from the main section; see raw data and source-specific sections below.

Business & Funding

🟢 💬 Contrastive Decoding Diffing (CDD): recovering verbatim finetuning data from logits alone, no weight access needed[R] — score 24 Sources: reddit/r/MachineLearning

We built a model diffing method that recovers verbatim content from narrowly finetuned LLMs using only grey-box logit access (no weights, no activations, no probe corpus). Recent work (Minder, Dumas et al., "Narrow Finetuning Leaves Clearly Readable Traces in Activation Differences") showed that fin

Research Papers

🟢 🤗 Scaling Laws for Grid-Based Approximate Nearest Neighbor Search in High Dimensions — score 38 Sources: huggingface · arxiv/cs.AI

Grid-based approaches to approximate nearest neighbor (ANN) search have been absent from modern scaling analyses. We present a systematic characterization of a multiprobe grid algorithm with respect to dataset size N and dimensionality d. Our experiments reveal a previously unreported d-scaling cros

Other Signals

🟢 💬 Qwen 27B — score 37 Sources: reddit/r/LocalLLaMA

Just a datapoint I wanted to share.Qwen 27b, at q6kxl, with multi-token prediction, on a 4090+3090 system, using lcpp, puts out 50-90 tokens/s decode and 1500-2200 token/s pre-fill. Regardless of harness, it reliably interfaces with every API I have asked it to as long as I can link it to the docs.

🟢 💬 My DeepSeek V4 Pro at home got faster again — score 30 Sources: reddit/r/LocalLLaMA

You may remember my earlier posts about DeepSeek V4 Pro at home. Today I checked the performance in my llama.cpp

🟢 💬 This 3 slot 3080 20GB with 12v2x6 I got for €422,45 — score 13 Sources: reddit/r/LocalLLaMA

🟢 💬 Tom Yeh's AI by hand? is it worth it? [D] — score 12 Sources: reddit/r/MachineLearning

Thinking about getting two months at his website and getting a stronger understanding of machine learning since I am building tools with ai models from hugging face. Have anyone tried it?

🟢 🧡 Dispersion loss counteracts embedding condensation in small language models — score 12 Sources: hackernews

Omitted 1 additional other signals items from the main section; see raw data and source-specific sections below.

RepoDescriptionStars TodayLanguage
huggingface/speech-to-speechBuild local voice agents with open-source models173python
microsoft/agent-governance-toolkitAI Agent Governance Toolkit — Policy enforcement, zero-trust identity, execution sandboxing, and reliability engineering for autonomous AI agents. Covers 10/10 OWASP Agentic Top 10.35python
google-labs-code/stitch-skillsA library of Agent Skills designed to work with the Stitch MCP server. Each skill follows the Agent Skills open standard, for compatibility with coding agents such as Antigravity, Gemini CLI, Claude Code, Cursor.34typescript
macro-inc/macroMacro is a unified interface for email, messages, tasks, calls, agents, pull requests, docs, crm — linked together with shared AI memory.24rust
kdsz001/OpenWikiOpenWiki — Mac desktop AI knowledge management tool. Capture clipboard, build personal wiki, get AI insights.19rust

📄 New Papers

TitleCategoryHotnessLink
AGVBench: A Reliability-Oriented Benchmark of Data Augmentation for Vein Recognitionresearch_paper10Open
InstanceControl: Controllable Complex Image Generation without Instance Labelingresearch_paper10Open
WARP: Weight-Space Analysis for Recovering Training Data Portfoliosresearch_paper4Open
PACE: A Neuro-Symbolic Framework for Plausible and Actionable Counterfactual Explanationscs.AI0Open
Auto-FL-Research: Agentic Search for Federated Learning Algorithmscs.AI0Open
The Wiola Architecture for Efficient Small Language Modelscs.AI0Open
Agent4cs: A Multi-agent System for Code Summarization in Large Hierarchical Codebasescs.AI0Open
When Should Service Agents Reconsider? Difficulty-Routed Control in Customer-Service Operationscs.AI0Open
CreativityNeuro: Steering Language Model Weights to Improve Divergent Thinking and Reduce Mode Collapsecs.AI0Open
Discrete Diffusion Language Models for Interactive Radiology Report Draftingcs.AI0Open
Beyond Next-Token Prediction: An RLVR Proof of Concept for Tool-Use Agents on Atlassian Workflowscs.AI0Open
World Feedback for Clinical Agents: Diagnosing RL in FHIR Environmentscs.AI0Open
Procedural Memory Distillation: Online Reflection for Self-Improving Language Modelscs.AI0Open
The Agentic Garden of Forking Pathscs.AI0Open
Janus: a Playground for User-Involved Agentic Permission Managementcs.AI0Open

🏢 Lab Blog Posts

🐦 Twitter/X Highlights

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MistralAICustomers are not an abstraction for us: we exist to help enterprises, public institutions, and industries build their own intelligence, so the value created from their data, workflows, feedback, and models accrues to them rather than to model providers. Post
simonwSent out my sponsors-only monthly newsletter for June, which means the May newsletter is now available here https://github.com/simonw/monthly-newsletter-archive/blob/main/2026-05-may.md - you can sponsor me through GitHub to stay a month ahead of the free copy! Post

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