🔴 High Significance

Model Releases

🔴 💬 asked ChatGPT for a one-click agent builder. the one-click part wasnt the thing — score 81 Sources: reddit/r/AIAgents

Every agent builder page says the same thing. create an AI agent in one click, plain English, live in 60 seconds. i asked ChatGPT which ones were actually worth trying. it gave me a short list and Enter was on it. The first setup was fast. I described a support agent, poked it in the test window, an

🔴 💬 I got Gemma 4 running directly inside Godot using only GDScript and Vulkan compute shaders — score 75 Sources: reddit/r/LocalLLaMA

I wanted to see if an LLM could run inside Godot without llama.cpp, Python, a server, or a GDExtension. It works. This Godot 4.7 project runs gemma-4-E2B-it-Q4_K_M.gguf locally. The model calculations run in Vulkan compute shaders, while GDScript handles GGUF loading, tokenization, sampling, the K

Developer Tools

🔴 💬 Prompt-engineering paper accepted to ICML [R] — score 94 Sources: reddit/r/MachineLearning

"Verbalized Sampling: How to Mitigate Mode Collapse and Unlock LLM Diversity" This paper was accepted to ICML this year. Its main idea is a very simple prompt-engineering trick: "changing the prompt this way led to more diverse sampling". Naturally, it is difficul

🔴 🧡 Show HN: Nobie – an Excel-compatible runtime for agents and humans — score 81 Sources: hackernews

🔴 🐙 simonlin1212/TradingAgents-astock — A股多Agent投研框架 — 适配A股数据源(龙虎榜/游资/解禁等)，7位分析师基于A股规则的辩论决策，基于TradingAgents深度改造，适配大A。A-share multi-agent investment research framework — 7 AI analysts, bull/bear debate, risk assessment。 — score 70 Sources: github_trending

A股多Agent投研框架 — 适配A股数据源(龙虎榜/游资/解禁等)，7位分析师基于A股规则的辩论决策，基于TradingAgents深度改造，适配大A。A-share multi-agent investment research framework — 7 AI analysts, bull/bear debate, risk assessment。

Infrastructure & Compute

🔴 💬 Apple M7 Ultra Chip Planned With Up to 1.5 TB of Unified Memory — score 89 Sources: reddit/r/LocalLLaMA

Enterprise Adoption

🔴 💬 I tested TomoAI and Daimon: Which Ai companion is better in 2026? — score 94 Sources: reddit/r/AIAgents

I've been trying to find an AI companion that's useful beyond just answering questions. Something that helps you stay organized, remembers what matters, and feels more like an ongoing conversation. After seeing TomoAI and Daimon mentioned a lot, I spent a few weeks using both. Here's my experience:

Research Papers

🔴 🤗 Long-Horizon-Terminal-Bench: Testing the Limits of Agents on Long-Horizon Terminal Tasks with Dense Reward-Based Grading — score 82 Sources: huggingface · arxiv/cs.AI

AI agents have become capable of autonomously completing short, well-specified tasks. However, existing terminal benchmarks largely focus on simple problems that finish within minutes and are evaluated only by their final outcome. This setup overlooks intermediate progress and partial solutions, yie

Other Signals

🔴 💬 This is why we need local models and opensource harnesses — score 96 Sources: reddit/r/LocalLLaMA

🔴 💬 Chain of Thought is a scaling trap. the next wave is latent reasoning (Coconut / HRM / RecrusiveMAS)... but then we hit the black box wall. Where does BDH fit? [D] — score 81 Sources: reddit/r/MachineLearning

Read a long piece on the future of LLM reasoning that makes a provocative claim: Chain of Thought is a useful hack but we've started to confuse a readable trace with the actual computation. All in all, "generating text is not the same as thinking." There are two practical problems here: 1. Faithfuln

🔴 🧡 Samsung Health app threatens data deletion if users opt out AI training — score 74 Sources: hackernews

🟡 Notable

Model Releases

🟡 ✉️ OPENAI LAUNCHES GPT-5.6 SOL, TERRA, AND LUNA ON APPS AND API (3 MINUTE READ) — score 65 Sources: newsletter/tldr

🟡 ✉️ TAKE ON YOUR MOST AMBITIOUS WORK WITH CHATGPT (WEBSITE) — score 65 Sources: newsletter/tldr

🟡 ✉️ IBM AND RED HAT LAUNCH LIGHTWELL TO DEFEND OPEN-SOURCE CODE FROM AI ATTACKS (7 MINUTE READ) — score 65 Sources: newsletter/tldr

🟡 ✉️ Read our last AI newsletter: SpaceXAI, Cursor release strongest Grok yet — score 65 Sources: newsletter/rundown-ai

🟡 ✉️ Go from idea to website with ChatGPT Work + Codex — score 65 Sources: newsletter/rundown-ai

Omitted 6 additional model releases items from the main section; see raw data and source-specific sections below.

Developer Tools

🟡 💬 Best agent framework in 2026? There isn't one. Here's my decision tree — score 69 Sources: reddit/r/AIAgents

I've built with a few of these frameworks and evaluated most of the others (not all at the same depth). This isn't a benchmark or a ranking, just the decision tree I'd use if I were starting an agent project today. One thing I've changed my mind about: **model choice becomes much less important once

🟡 🧡 Show HN: BillAI Bass, an AI-Powered Big Mouth Billy Bass Using Strands Agents — score 69 Sources: hackernews

🟡 💬 I benchmarked 15 "E-Waste" GPUs with Modern Workloads — score 68 Sources: reddit/r/LocalLLaMA

I've spent the last year building GPU coolers and a custom benchmarking tool to figure out if decommissioned NVIDIA enterprise GPUs have any use with modern workloads. Cards like the P100 (16GB) are going for around $75

🟡 ✉️ PROGRESSIVE DISCLOSURE: FROM TRAINING WHEELS TO WEEK-LONG AI AGENTS (12 MINUTE READ) — score 65 Sources: newsletter/tldr

🟡 ✉️ THE PULSE: INTERESTING AI CODING STATS FROM CURSOR (7 MINUTE READ) — score 65 Sources: newsletter/tldr

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

Enterprise Adoption

🟡 ✉️ IF AI PRODUCTION IS MAKING PRODUCTION CHEAPER, HOW CAN YOU SELL DESIGN THINKING INSTEAD? (6 MINUTE READ) — score 65 Sources: newsletter/tldr

🟡 ✉️ THE OPENAI DEPLOYMENT COMPANY TO ACQUIRE NORTHSLOPE (4 MINUTE READ) — score 65 Sources: newsletter/tldr

🟡 ✉️ OpenAI's CEO of AGI deployment, Fidji Simo, is moving to part-time advisor due to a chronic illness, saying “curing disease is the most important thing AI could accomplish.” — score 65 Sources: newsletter/rundown-ai

Research Papers

🟡 🤗 From RGB Generation to Dense Field Readout: Pixel-Space Dense Prediction with Text-to-Image Models — score 65 Sources: huggingface

Large-scale text-to-image models are attractive backbones for dense prediction because RGB generation pretraining learns rich semantic, structural, and geometric priors. Existing generative and editing approaches reuse these priors by casting dense prediction as target generation: annotations such a

🟡 🤗 PanoWorld: Real-World Panoramic Generation — score 50 Sources: huggingface

In this work, we aim to address the challenge of long-range memory in panoramic world models by exploiting the rotation-equivariant property of omnidirectional representations, where rotation can be treated as an implicit geometric transformation.Building on this insight, we propose PanoWorld, which

🟡 🤗 Phone Segmentation and Recognition through Phonological Activation Mapping — score 48 Sources: huggingface · arxiv/cs.AI

Phone segmentation and recognition are inherently related tasks, yet modern approaches typically model them separately. We argue that phonetic structure is already latent in the representations of self-supervised speech models (S3Ms), and one only needs to steer them to solve both tasks. We leverage

Other Signals

🟡 ✉️ THE SPEC CEILING: WHY AI CODING SPEED MOVES THE BOTTLENECK TO PRODUCT DISCOVERY (11 MINUTE READ) — score 65 Sources: newsletter/tldr

🟡 ✉️ WANT PEOPLE TO USE YOUR AI FEATURES? THESE 5 TEARDOWNS SHOW YOU HOW (4 MINUTE READ) — score 65 Sources: newsletter/tldr

🟡 ✉️ ZUCKERBERG PLEDGES ‘AGGRESSIVE' PRICING WITH META'S FIRST PAY-TO-USE AI (7 MINUTE READ) — score 65 Sources: newsletter/tldr

🟡 ✉️ APPLE EXPLORING WAYS TO RUN MUCH LARGER AI MODELS DIRECTLY ON IPHONES (2 MINUTE READ) — score 65 Sources: newsletter/tldr

🟡 ✉️ YOUR AI MARGIN IS META'S OPPORTUNITY (6 MINUTE READ) — score 65 Sources: newsletter/tldr

Omitted 16 additional other signals items from the main section; see raw data and source-specific sections below.

🟢 Incremental

Model Releases

🟢 💬 If Frontier AI is so Dangerous, Why should private companies be allowed to develop it? — score 32 Sources: reddit/r/LocalLLaMA

There's a push by openAI and anthropic primarily. Well more than a push just straight fear mongering about open source ai and its dangers. If it's so dangerous why would the US gov. in particular continue to allow private industry to develop and release. If I had a company OpenNuke and started makin

🟢 💬 AI model for OpenClaw that doesn’t cost an arm and a leg — score 12 Sources: reddit/r/AIAgents

I’m setting up OpenClaw as an AI agent on my home server (Unraid) to manage things like Home Assistant, Frigate, Docker, cameras, and other self-hosted services. The goal is to have an agent that can actually help with configurations, YAML files, troubleshooting, and maintenance. The problem is the

🟢 💬 Mistral Community Feedback Survey — score 11 Sources: reddit/r/LocalLLaMA

This survey also includes various questions about running models locally and what kind of model sizes they should focus on in the future. As there are many requests for more open weight ~30-120B models here that people can actually run locally, it's probably worth giving feedback about that.

🟢 💬 Qwen3.6-35B-A3B-Uncensored-Genesis-Hermes-V2-GGUF — score 4 Sources: reddit/r/LocalLLaMA

Here model: https://huggingface.co/LuffyTheFox/Qwen3.6-35B-A3B-Uncensored-Genesis-Hermes-V2-GGUF Settings: `temperature=0.6, top_p=0.95, top_k=20, min_p=0, presence_penalty=disabled, repeat_penalty=disabl

Developer Tools

🟢 💬 mem0sharp cause didn't find any reimplementation with dotnet — score 38 Sources: reddit/r/AIAgents

So i used Mem0 lib (Agent Long Term Memory) a lot but python packages have a lot of vulnerabilities lately. So I thought to myself why not reimplement it using agents. Exactly one hour later it was done and replaced my Mem0 container deployment with a native C# dotnet 10 implementation inside the pr

🟢 💬 What’s your approach to preventing AI agents from confidently making the wrong decision? — score 38 Sources: reddit/r/AIAgents

I've been experimenting with AI agents for sales and GTM workflows over the past few weeks. The basic tasks like company research, lead enrichment, email drafting, and CRM updates work surprisingly well. The challenge starts when an agent has to make a judgment call instead of following a determinis

🟢 🐙 moeru-ai/airi — 💖🧸 Self hosted, you-owned Grok Companion, a container of souls of waifu, cyber livings to bring them into our worlds, wishing to achieve Neuro-sama's altitude. Capable of realtime voice chat, Minecraft, Factorio playing. Web / macOS / Windows supported. — score 38 Sources: github_trending

💖🧸 Self hosted, you-owned Grok Companion, a container of souls of waifu, cyber livings to bring them into our worlds, wishing to achieve Neuro-sama's altitude. Capable of realtime voice chat, Minecraft, Factorio playing. Web / macOS / Windows supported.

🟢 🐙 katanemo/plano — Plano is an AI-native proxy and data plane for agentic apps — with built-in orchestration, safety, observability, and smart LLM routing so you stay focused on your agents core logic. — score 32 Sources: github_trending

Plano is an AI-native proxy and data plane for agentic apps — with built-in orchestration, safety, observability, and smart LLM routing so you stay focused on your agents core logic.

🟢 🐙 raine/claude-code-proxy — Use Claude Code with your ChatGPT, Kimi, Cursor or Grok subscription via a local Anthropic-compatible proxy — score 26 Sources: github_trending

Use Claude Code with your ChatGPT, Kimi, Cursor or Grok subscription via a local Anthropic-compatible proxy

Omitted 5 additional developer tools items from the main section; see raw data and source-specific sections below.

Infrastructure & Compute

🟢 💬 Joined the Dual RTX 6000 club — score 39 Sources: reddit/r/LocalLLaMA

I only spent 2 hours making the bios accept the dual gpus, only 5 hours configuring VLLM to run deepseek v4 flash dspark, but totally worth it. I truly believe in the near future we will have to rely on ourselves.

Research Papers

🟢 🤗 VaseMuseum: Digital Intelligent Museum for Ancient Greek Pottery — score 5 Sources: huggingface

Vision-language models (VLMs) have made interactive digital museums increasingly feasible by connecting 3D digitization with natural-language artifact exploration. However, in cultural heritage domains such as ancient Greek pottery, reliable VLM assistance is limited by two challenges. First, open-e

Other Signals

🟢 💬 Doubt regarding TMLR[R] — score 31 Sources: reddit/r/MachineLearning

My TMLR paper was assigned to reviewers on April 23, and as of July 13 I've received 2 reviews, but the third is still pending. The discussion phase hasn't opened yet, so I can't respond to the existing reviews. Is this normal for TMLR, or is it reasonable to send the Action Editor a pol

🟢 🧡 The 4-Bitter Lesson: Balancing Stability and Performance in NVFP4 RL — score 31 Sources: hackernews

🟢 💬 J-Wash: A novel way to brainwash and customize large language models based on Anthropic's Jacobian-Lens! — score 25 Sources: reddit/r/LocalLLaMA

🟢 🧡 Robust Secret Storage in Networks — score 19 Sources: hackernews

🟢 💬 GLM 5.2 running on MacBook Pro M5 48 GB Ram at between 2 - 2.8t/s — score 18 Sources: reddit/r/LocalLLaMA

I started reading about Flash MOE I have my own built Claude Desktop style app using Pi as the harness. Qwen3.6 27B is good but sometimes it falls short on some of the large codebases I work on so I wanted to see if I could get GLM 5.2 working on my machine with Flash MOE. Got to work with Claude an

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

RepoDescriptionStars TodayLanguage
simonlin1212/TradingAgents-astockA股多Agent投研框架 — 适配A股数据源(龙虎榜/游资/解禁等)，7位分析师基于A股规则的辩论决策，基于TradingAgents深度改造，适配大A。A-share multi-agent investment research framework — 7 AI analysts, bull/bear debate, risk assessment。230python
YishenTu/claudianAn Obsidian plugin that embeds Claude Code/Codex as an AI collaborator in your vault89typescript
Vexa-ai/vexaOpen-source meeting transcription API for Google Meet, Microsoft Teams & Zoom. Auto-join bots, real-time WebSocket transcripts, MCP server for AI agents. Self-host or use hosted SaaS.72python
moeru-ai/airi💖🧸 Self hosted, you-owned Grok Companion, a container of souls of waifu, cyber livings to bring them into our worlds, wishing to achieve Neuro-sama's altitude. Capable of realtime voice chat, Minecraft, Factorio playing. Web / macOS / Windows supported.57typescript
katanemo/planoPlano is an AI-native proxy and data plane for agentic apps — with built-in orchestration, safety, observability, and smart LLM routing so you stay focused on your agents core logic.40rust
raine/claude-code-proxyUse Claude Code with your ChatGPT, Kimi, Cursor or Grok subscription via a local Anthropic-compatible proxy32rust
simstudioai/simBuild, deploy, and orchestrate AI agents. Sim is the central intelligence layer for your AI workforce.24typescript

📄 New Papers

TitleCategoryHotnessLink
Long-Horizon-Terminal-Bench: Testing the Limits of Agents on Long-Horizon Terminal Tasks with Dense Reward-Based Gradingresearch_paper47Open
From RGB Generation to Dense Field Readout: Pixel-Space Dense Prediction with Text-to-Image Modelsresearch_paper10Open
PanoWorld: Real-World Panoramic Generationresearch_paper8Open
Interval Certifications for Multilayered Perceptrons via Lattice Traversalcs.AI0Open
CogniConsole: Externalizing Inference-Time Control as a Formal Abstraction for Reliable LLM Interactionscs.AI0Open
GATS: Graph-Augmented Tree Search with Layered World Models for Efficient Agent Planningcs.AI0Open
A Formalization of the Mean-Field Derivation of the Vlasov Equation: AI-Assisted Lean Formalization as a Strategy Gamecs.AI0Open
ARCANA: A Reflective Multi-Agent Program Synthesis Framework for ARC-AGI-2 Reasoningcs.AI0Open
Neuro-Agentic Control: A Deep Learning-based LLM-Powered Agentic AI Framework for Controlling Security Controlscs.AI0Open
L-MAD: A Systematic Evaluation of Multi-Agent Debate Structures in Legal Reasoningcs.AI0Open
MedRealMM: A Real-World Multimodal Benchmark for Chinese Online Medical Consultationcs.AI0Open
KV-PRM: Efficient Process Reward Modeling via KV-Cache Transfer for Multi-Agent Test-Time Scalingcs.AI0Open
Scoped Verification for Reliable Long-Horizon Agentic Context Evolution under Distribution Shiftcs.AI0Open
Toward Auditable AI Scientists: A Hypothesis Evolution Protocol for LLM Agentscs.AI0Open
OpenProver: Agentic and Interactive Theorem Proving with Lean 4cs.AI0Open

🏢 Lab Blog Posts

🐦 Twitter/X Highlights

AccountTweet Summary
AnthropicAIIn previous research, we found that Claude expresses over 3,000 values, like honesty and warmth. In new work, we asked how the values Claude expresses vary between Claude models and across languages. We analyzed 300K+ anonymized conversations to find out.https://www.anthropic.com/research/claude-val Post
GoogleDeepMindHere’s how we used the Predicting the Past Skill in Google @Antigravity to track down a Roman ring thief, map an ancient cult across Europe, and reconstruct the networks of people visiting a Greek oracle. 🧵 Post

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