🔴 High Significance
Model Releases
🔴 🧡 Qwen 3.6 27B is the sweet spot for local development — score 90
Sources: hackernews
🔴 💬 Amodei: "Open Source Models Will Eat Your Children" — score 88
Sources: reddit/r/LocalLLaMA
🔴 💬 It’s time, Sam, it’s time. — score 73
Sources: reddit/r/LocalLLaMA
Mostly /s but, I mean….. I’m no CEO…. but it seems like this would be the absolute perfect time to drop a super powerful GPT-OSS-2 to throw a big ol’ wet blanket on Anthropic’s IPO. It doesn’t need to be like frontier or anything, just a 20b and a 120b that is as fast as the old versions, add agenti
Developer Tools
🔴 💬 Cerebras OpenAI deal capacity has effectively killed the waitlist for everyone else [D] — score 94
Sources: reddit/r/MachineLearning
I’m pretty annoyed. We’re a small AI startup building a real-time coding agent. Our p95 latency requirements are tight (and self imposed, but thats the product). We need sustained high-throughput inference with ~1-2k tokens/second. Been on the Cerebras waitlist for months trying to get API access.
🔴 💬 wavecat, a fully local personal agent that watches your screen — score 83
Sources: reddit/r/AIAgents
I've been working on this project for a couple weeks after finals. It's a fully local personal agent that constantly watches your screen and uses it as it's context. I think it's a cool demonstration of like what local agents can do that cloud-based agents can't. Namely, constantly watching your scr
🔴 💬 Google's Agentic Peer-Reviewer Handled ~10K Papers at ICML/STOC — Formal Research Paper Now Out [R] — score 81
Sources: reddit/r/MachineLearning
Google deployed an agentic AI peer-reviewer at two top CS conferences — reviewing ~10,000 papers with 30-minute turnaround — and the new formal research paper shows it catches 34% more mathematical errors than zero-shot prompting; the precedent for AI-automated scientific review at conference scale
🔴 🐙 lumina-ai-inc/chunkr — Vision infrastructure to turn complex documents into RAG/LLM-ready data — score 71
Sources: github_trending
Vision infrastructure to turn complex documents into RAG/LLM-ready data
🔴 🧡 Ornith-1.0: self-improving open-source models for agentic coding — score 70
Sources: hackernews
Research Papers
🔴 🤗 Qwen-RobotNav Technical Report: A Scalable Navigation Model Designed for an Agentic Navigation System — score 70
Sources: huggingface
Agentic navigation systems require a base navigation model whose observation strategy can be externally reconfigured at inference time, because instruction following, object search, target tracking, and autonomous driving share the same perception-planning backbone yet demand fundamentally different
Other Signals
🔴 💬 Effect of GLM 5.2 !! — score 96
Sources: reddit/r/LocalLLaMA
All hail Z. Ai
🔴 💬 on Dario’s statement — score 81
Sources: reddit/r/LocalLLaMA
🟡 Notable
Model Releases
🟡 💬 “it works in the demo" is the four most expensive words in AI — score 67
Sources: reddit/r/AIAgents
every single time. someone shows an agent. it absolutely cooks in the demo. everyone in the room nods, people start talking launch dates, and somehow the conversation shifts from "does this actually hold up?" to "when can we ship it?" then a real user gets their hands on it. the funny thing is the f
🟡 ✉️ TRUMP ADMINISTRATION ASKS OPENAI TO STAGGER AI MODEL RELEASE (5 MINUTE READ) — score 65
Sources: newsletter/tldr
🟡 ✉️ CONTROL AN ANDROID PHONE WITH GEMINI 3.5 FLASH COMPUTER USE (9 MINUTE READ) — score 65
Sources: newsletter/tldr
🟡 ✉️ LINUX FOUNDATION AND INDUSTRY LEADERS LAUNCH AKRITES TO DEFEND CRITICAL OPEN SOURCE SOFTWARE AGAINST AI-ENABLED CYBER THREATS (17 MINUTE READ) — score 65
Sources: newsletter/tldr
🟡 ✉️ INTRODUCING RIPPLING DATA CLOUD: AI-POWERED BI THAT UNDERSTANDS YOUR WORKFORCE (13 MINUTE READ) — score 65
Sources: newsletter/tldr
Omitted 6 additional model releases items from the main section; see raw data and source-specific sections below.
Developer Tools
🟡 ✉️ BUILD THE AGENT OR POWER THE AGENT? (6 MINUTE READ) — score 65
Sources: newsletter/tldr
🟡 ✉️ GETTING MORE FROM EACH TOKEN: HOW COPILOT IMPROVES CONTEXT HANDLING AND MODEL ROUTING (8 MINUTE READ) — score 65
Sources: newsletter/tldr
🟡 ✉️ BRINGING MORE AGENT HARNESSES AND FRAMEWORKS TO CLOUDFLARE, STARTING WITH FLUE (8 MINUTE READ) — score 65
Sources: newsletter/tldr
🟡 ✉️ THE COMING DIVIDE: AI-NATIVE OR LEFT BEHIND (4 MINUTE READ) — score 65
Sources: newsletter/tldr
🟡 ✉️ 50 DESIGN TOKEN FILES, ONE PROBLEM: YOUR AGENTS CAN'T READ THE MEANING (15 MINUTE READ) — score 65
Sources: newsletter/tldr
Omitted 12 additional developer tools items from the main section; see raw data and source-specific sections below.
Infrastructure & Compute
🟡 ✉️ APPLE TO SKIP HIGH-END M6 MAC CHIPS IN FAVOR OF AI-FOCUSED M7 LINE (5 MINUTE READ) — score 65
Sources: newsletter/tldr
🟡 ✉️ Google is reportedly reorganizing its AI coding strike team into a dedicated “midtraining” group to catch up with Anthropic as key researchers leave for the rival lab. — score 65
Sources: newsletter/rundown-ai
🟡 ✉️ Read our last AI newsletter: OpenAI’s spicy new custom AI chip — score 65
Sources: newsletter/rundown-ai
🟡 💬 I do historical swordfighting and noticed AI struggles to track it. I’m building an open dataset to help fix this. Does my schema make sense? [P] — score 50
Sources: reddit/r/MachineLearning
Hi everyone, I’m a historical swordfighter (HEMA practitioner), and while I’m not a computer vision engineer or a roboticist, I’ve been reading a lot about the current bottlenecks in embodied AI, specifically around the Sim2Real gap and thin-object tracking. It occurred to me that high-level swordfi
Business & Funding
🟡 ✉️ APPLE RAISES PRICES ON MACS, IPADS BY $200 OR MORE ON SOME MODELS (5 MINUTE READ) — score 65
Sources: newsletter/tldr
🟡 ✉️ OPENAI LEANS TOWARD WAITING UNTIL NEXT YEAR FOR IPO (8 MINUTE READ) — score 65
Sources: newsletter/tldr
🟡 ✉️ AI economy banked $110B last year — score 65
Sources: newsletter/rundown-ai
🟡 ✉️ The Rundown: New Exponential View research, analyzing data from various sources, shows that the generative AI industry hit $110B in revenues last year and is on track to touch $175B, scaling 3x faster than any prior tech — score 65
Sources: newsletter/rundown-ai
Enterprise Adoption
🟡 ✉️ ENTERPRISE-GRADE AI IMAGE GENERATION IN 2 SECONDS IS HERE: KREA 2 RAW AND TURBO (12 MINUTE READ) — score 65
Sources: newsletter/tldr
Research Papers
🟡 🤗 Simplified Sparse Attention via Gist Tokens — score 52
Sources: huggingface · arxiv/cs.LG
Sparse attention can reduce the cost of long-context inference, but most variants introduce new architectural components. We introduce Simplified Sparse Attention (SSA), a simpler approach to sparse attention that requires no architectural changes. Concretely, we first perform continued pretraining
Other Signals
🟡 💬 GLM 5.2 Q1_S vs Qwen 27B Q8 — score 65
Sources: reddit/r/LocalLLaMA
TL;DR; GLM-5.2 Q1_S beats Qwen 3.6 27B Q8,
both run at KV Q8edit: GLM run a K & V Q8, Qwen run with KV cache at full FP16., with preserve thinking on. Disclaimer: This is a hobby/amateur comparison with n=1, so go easy on it. I just thought it would be fun to share. # The Context and T
🟡 ✉️ THE AI ERA REQUIRES A DIFFERENT KIND OF EXPERIMENTATION (7 MINUTE READ) — score 65
Sources: newsletter/tldr
🟡 ✉️ IS AI FOOLING YOU? (4 MINUTE READ) — score 65
Sources: newsletter/tldr
🟡 ✉️ CHINESE AI MODELS CLOSE THE GAP WITH ANTHROPIC AND OPENAI (11 MINUTE READ) — score 65
Sources: newsletter/tldr
🟡 ✉️ AN INTERVIEW WITH FIGMA CEO DYLAN FIELD ABOUT DESIGN AND AI (48 MINUTE READ) — score 65
Sources: newsletter/tldr
Omitted 10 additional other signals items from the main section; see raw data and source-specific sections below.
🟢 Incremental
Model Releases
🟢 💬 I'm trying to implement CALM paper, and I have some questions. [P] — score 25
Sources: reddit/r/MachineLearning
Hello, I'm trying to implement the Pocket TTS by kyutai-labs represented by this paper. Since they have didn't released the training/fine-tuning code. I'm trying to implement it on my own for learning some stuff. I have read the paper, tried to implement it with m
🟢 💬 NASA testing local LLM inference for future space missions — score 12
Sources: reddit/r/LocalLLaMA
Red Hat published a blog post last week about an initiative I supported with NASA researchers at Johnson Space Center building a medical AI assistant. It's called the Crew Medical Officer Digital Assistant (CMO-DA) and the system runs LLMs and other models on local hardware with zero cloud dependenc
🟢 💬 Introducing LongCat-2.0 - , a large-scale MoE language model with 1.6 trillion total parameters and ~48 billion activated per token. This was the stealth model that was on Openrouter under the name 'owl-alpha'. — score 4
Sources: reddit/r/LocalLLaMA
Developer Tools
🟢 🐙 vanloctech/youwee — A beautiful, cross-platform downloader for YouTube, TikTok, Instagram, and 1800+ sites (yt-dlp GUI) with AI video summaries and post-processing — score 36
Sources: github_trending
A beautiful, cross-platform downloader for YouTube, TikTok, Instagram, and 1800+ sites (yt-dlp GUI) with AI video summaries and post-processing
🟢 💬 I Hate Dario Amodei, and everything he stands for. — score 35
Sources: reddit/r/LocalLLaMA
I am so incredibly sick of this guy‘s fear mongering about open source while fundamentally misunderstanding how it actually works. He recently dropped some arguments that are so completely detached from reality, it honestly feels like he’s never even touched a local model in his life. Just look at t
🟢 💬 Best way to get started with AI agents for Obsidian + small app workflows? — score 28
Sources: reddit/r/AIAgents
I’m trying to get into AI agents / agentic workflows, but the space feels huge and easy to get lost in. What interests me most is using an Obsidian vault as a second brain — personal knowledge management, life admin, planning, reminders, turning notes into actions, etc. But I’m also interested i
🟢 🐙 appwrite/appwrite — Appwrite® - complete cloud infrastructure for your web, mobile and AI apps. Including Auth, Databases, Storage, Functions, Messaging, Hosting, Realtime and more — score 19
Sources: github_trending
Appwrite® - complete cloud infrastructure for your web, mobile and AI apps. Including Auth, Databases, Storage, Functions, Messaging, Hosting, Realtime and more
🟢 🐙 metalbear-co/mirrord — Run any process, on your machine or in an AI agent's environment, as if it were a pod in your Kubernetes cluster: real env vars, DNS, network, traffic. — score 14
Sources: github_trending
Run any process, on your machine or in an AI agent's environment, as if it were a pod in your Kubernetes cluster: real env vars, DNS, network, traffic.
Omitted 3 additional developer tools items from the main section; see raw data and source-specific sections below.
Infrastructure & Compute
🟢 🐙 Michael-A-Kuykendall/shimmy — ⚡ Pure-Rust WebGPU inference engine — OpenAI-API compatible, GGUF native, runs on any GPU. No Python. No llama.cpp. Single binary. — score 23
Sources: github_trending
⚡ Pure-Rust WebGPU inference engine — OpenAI-API compatible, GGUF native, runs on any GPU. No Python. No llama.cpp. Single binary.
Research Papers
🟢 🤗 CogniRoute: Learning to Route Social Evidence in Omni-Modal Models — score 35
Sources: huggingface
Omni-modal models can ingest video, audio, and text, but unified access to multiple modalities does not guarantee that a model uses the right evidence. This gap is especially pronounced in social video question answering, where the answer may hinge on a gesture, vocal tone, temporal cue, or mismatch
🟢 🤗 The Galaxy's Guide to the Tokenizer: A Benchmark for Scientific Foundation Models — score 35
Sources: huggingface
Tokenization is central to adapting scientific data for transformer-based foundation models, yet its impact on learned representations remains poorly understood. We compare four tokenization strategies, Affine, AIM, JetFormer, and VQ-VAE, within a unified transformer framework for astronomical imagi
🟢 🤗 To Run or Not to Run: Analyzing the Cost-Effectiveness of Code Execution in LLM-Based Program Repair — score 35
Sources: huggingface
LLM-based agents for program repair are increasingly built on a "generate-run-revise" paradigm, iteratively executing tests to evaluate and refine patches. This execution-based approach has become standard practice in state-of-the-art systems. However, executions can be time-consuming and expensive,
🟢 🤗 MemoBench: Benchmarking World Modeling in Dynamically Changing Environments — score 35
Sources: huggingface
Video generation models aspire to simulate dynamic environments, and several benchmarks now evaluate memory consistency across frames. However, most assess consistency only while the target remains in view, and the few that force objects out of view evaluate static scenes where nothing changes durin
🟢 🤗 How Much Static Structure Do Code Agents Need? A Study of Deterministic Anchoring — score 5
Sources: huggingface
LLM-based code agents navigate repositories through keyword search but miss the structural relationships, such as call graphs, inheritance hierarchies, and configuration dependencies, that define how software actually works. This makes agent navigation stochastic and difficult to reproduce across ru
Other Signals
🟢 💬 Samsung, SK hynix, Micron Sued in US Over Memory Price Fixing — score 27
Sources: reddit/r/LocalLLaMA
🟢 💬 Price elasticity model [R] — score 25
Sources: reddit/r/MachineLearning
Need to build a ml model to find the price elasticity at the product group level first the given price and discount. What are features I need have and which model used in the industry for these type of use cases . I have used regression and random regression to predict the qty sold. Looking for help
🟢 💬 Kimi and GLM on frontier code — score 19
Sources: reddit/r/LocalLLaMA
🟢 💬 Rejected MICCAI paper: workshop -> journal/conference or directly journal/conference [R] — score 6
Sources: reddit/r/MachineLearning
Premise: this work is my first year PhD, and I dropped out for personal reasons. I still want to do research but independently. I have tried to submit my explainability paper to MICCAI. Sadly, for doubtful/good reasons, it got rejected. Among the reviewers, one explicitly suggested to make it strong
📈 Trending Repos
| Repo | Description | Stars Today | Language |
|---|---|---|---|
| lumina-ai-inc/chunkr | Vision infrastructure to turn complex documents into RAG/LLM-ready data | 284 | rust |
| HKUDS/CLI-Anything | "CLI-Anything: Making ALL Software Agent-Native" -- CLI-Hub:https://clianything.cc/ | 147 | python |
| hsliuping/TradingAgents-CN | 基于多智能体LLM的中文金融交易框架 - TradingAgents中文增强版 | 110 | python |
| Unclecheng-li/VulnClaw | 基于 AI Agent + MCP 工具链 + 渗透 Skill 编排， 配合大语言模型， 自然语言输入 → 自动完成「信息收集 → 漏洞发现 → 漏洞利用 → 报告生成」全流程。 | 105 | python |
| vanloctech/youwee | A beautiful, cross-platform downloader for YouTube, TikTok, Instagram, and 1800+ sites (yt-dlp GUI) with AI video summaries and post-processing | 29 | typescript |
| Michael-A-Kuykendall/shimmy | ⚡ Pure-Rust WebGPU inference engine — OpenAI-API compatible, GGUF native, runs on any GPU. No Python. No llama.cpp. Single binary. | 13 | rust |
| appwrite/appwrite | Appwrite® - complete cloud infrastructure for your web, mobile and AI apps. Including Auth, Databases, Storage, Functions, Messaging, Hosting, Realtime and more | 10 | typescript |
| metalbear-co/mirrord | Run any process, on your machine or in an AI agent's environment, as if it were a pod in your Kubernetes cluster: real env vars, DNS, network, traffic. | 7 | rust |
📄 New Papers
| Title | Category | Hotness | Link |
|---|---|---|---|
| Qwen-RobotNav Technical Report: A Scalable Navigation Model Designed for an Agentic Navigation System | research_paper | 3 | Open |
| Simplified Sparse Attention via Gist Tokens | research_paper | 2 | Open |
| AI-Model Network: Concept, Current State and Future | cs.AI | 0 | Open |
| When Does Personality Composition Matter for Multi-Agent LLM Teams? | cs.AI | 0 | Open |
| Internalizing the Future: A Unified Agentic Training Paradigm for World Model Planning | cs.AI | 0 | Open |
| Odyssey: Constructing Verifiable Local Truth-Preserving Foundation Models | cs.AI | 0 | Open |
| DysLexLens: A Low-Resource LLM Framework for Analysing Dyslexic Learners Insights from Online Forums | cs.AI | 0 | Open |
| MER-R1: Multimodal Emotion Reasoning via Slow-Fast Thinking Synergy | cs.AI | 0 | Open |
| ToE: A Hierarchical and Explainable Claim Verification Framework with Dynamic Multi-source Evidence Retrieval and Aggregation | cs.AI | 0 | Open |
| Towards Reliable and Robust LLM Planning: Symbolic Feedback-Driven Iterative Self-Refinement Framework | cs.AI | 0 | Open |
| Understanding Rollout Error in Graph World Models | cs.AI | 0 | Open |
| Grounded Iterative Language Planning: How Parameterized World Models Reduce Hallucination Propagation in LLM Agents | cs.AI | 0 | Open |
| ATOD: Annealed Turn-aware On-policy Distillation for Multi-turn Autonomous Agents | cs.AI | 0 | Open |
| NormAct: A Benchmark for Hidden Social Norm Compliance in Embodied Planning | cs.AI | 0 | Open |
| Verifiable Geometry Problem Solving: Solver-Driven Autoformalization and Theorem Proposing | cs.AI | 0 | Open |
🏢 Lab Blog Posts
- OpenAI: Mapping Europe’s AI Workforce Opportunity
- OpenAI: HP Inc. launches Frontier strategic partnership with OpenAI
🐦 Twitter/X Highlights
| Account | Tweet Summary |
|---|---|
| xai | State of the art voice APIs from SpaceXAI, now in the Vercel AI Gateway Post |
Newsletter
- tldr: THE AI ERA REQUIRES A DIFFERENT KIND OF EXPERIMENTATION (7 MINUTE READ)
- tldr: IS AI FOOLING YOU? (4 MINUTE READ)
- tldr: BUILD THE AGENT OR POWER THE AGENT? (6 MINUTE READ)
- tldr: TRUMP ADMINISTRATION ASKS OPENAI TO STAGGER AI MODEL RELEASE (5 MINUTE READ)
- tldr: APPLE RAISES PRICES ON MACS, IPADS BY $200 OR MORE ON SOME MODELS (5 MINUTE READ)
- tldr: CONTROL AN ANDROID PHONE WITH GEMINI 3.5 FLASH COMPUTER USE (9 MINUTE READ)
- tldr: OPENAI LEANS TOWARD WAITING UNTIL NEXT YEAR FOR IPO (8 MINUTE READ)
- tldr: CHINESE AI MODELS CLOSE THE GAP WITH ANTHROPIC AND OPENAI (11 MINUTE READ)
- tldr: APPLE TO SKIP HIGH-END M6 MAC CHIPS IN FAVOR OF AI-FOCUSED M7 LINE (5 MINUTE READ)
- tldr: AN INTERVIEW WITH FIGMA CEO DYLAN FIELD ABOUT DESIGN AND AI (48 MINUTE READ)
- tldr: LINUX FOUNDATION AND INDUSTRY LEADERS LAUNCH AKRITES TO DEFEND CRITICAL OPEN SOURCE SOFTWARE AGAINST AI-ENABLED CYBER THREATS (17 MINUTE READ)
- tldr: GETTING MORE FROM EACH TOKEN: HOW COPILOT IMPROVES CONTEXT HANDLING AND MODEL ROUTING (8 MINUTE READ)
- tldr: BRINGING MORE AGENT HARNESSES AND FRAMEWORKS TO CLOUDFLARE, STARTING WITH FLUE (8 MINUTE READ)
- tldr: AI HAS OUTPACED HOW ENGINEERING ORGANIZATIONS MEASURE DEVELOPER PRODUCTIVITY (4 MINUTE READ)
- tldr: THE COMING DIVIDE: AI-NATIVE OR LEFT BEHIND (4 MINUTE READ)
- tldr: AI AND LIABILITY (6 MINUTE READ)
- tldr: ENTERPRISE-GRADE AI IMAGE GENERATION IN 2 SECONDS IS HERE: KREA 2 RAW AND TURBO (12 MINUTE READ)
- tldr: 50 DESIGN TOKEN FILES, ONE PROBLEM: YOUR AGENTS CAN'T READ THE MEANING (15 MINUTE READ)
- tldr: THE ILLUSION OF AI PRODUCTIVITY (6 MINUTE READ)
- tldr: INTRODUCING RIPPLING DATA CLOUD: AI-POWERED BI THAT UNDERSTANDS YOUR WORKFORCE (13 MINUTE READ)
- tldr: BUILDING EFFECTIVE HUMAN-AGENT TEAMS (4 MINUTE READ)
- rundown-ai: Meta Superintelligence Labs reportedly hired the founders and team behind AI security startup Virtue AI to strengthen its AI safety and agent security efforts.
- rundown-ai: Apple raised prices mid-cycle across several product categories, with Macs and iPads hit hardest, as memory and storage prices continue to surge in the age of AI.
- rundown-ai: Microsoft introduced AI Skills for Copilot in Excel, enabling reusable AI workflows, including pre-built skills for financial modeling, forecasting, and variance analysis.
- rundown-ai: U.S. giants, including OpenAI, Anthropic, Microsoft, and Amazon, backed the launch of RAISE US, a $500M initiative to help Americans prepare for AI job disruption.
- rundown-ai: Google is reportedly reorganizing its AI coding strike team into a dedicated “midtraining” group to catch up with Anthropic as key researchers leave for the rival lab.
- rundown-ai: Read our last AI newsletter: OpenAI’s spicy new custom AI chip
- rundown-ai: RSVP to next workshop on June 30: Master AI video editing
- rundown-ai: GPT-5.6 just got a government leash
- rundown-ai: OpenAI claims to have trained protections into 5.6, but METR did find some gaps, including Sol cheating its evals at a rate higher than any other model.
- rundown-ai: AI-powered movie production with Claude
- rundown-ai: 1. Download and install Palmier Pro, open a new project, and create an Anthropic API key at console.anthropic.com/settings/keys
- rundown-ai: Build production agents in minutes
- rundown-ai: AI economy banked $110B last year
- rundown-ai: The Rundown: New Exponential View research, analyzing data from various sources, shows that the generative AI industry hit $110B in revenues last year and is on track to touch $175B, scaling 3x faster than any prior tech
- rundown-ai: MAI-Code-1-Flash - Microsoft’s in-house coding AI, GA for select users
- rundown-ai: The White House limits GPT-5.6 release - first seen 2026-06-28
- rundown-ai: Give your AI agent a credit card (safely) - first seen 2026-06-28
- rundown-ai: Disclaimer: If you try this, read the Agentcard docs, only connect through Agentcard’s official Stripe connection, and fund it with a prepaid or low-limit card. - first seen 2026-06-28
- rundown-ai: Anthropic flags Alibaba’s ‘largest’ distillation attack - first seen 2026-06-28
- rundown-ai: In this attack, disclosed in a letter to the Senate Banking Committee, Claude’s agentic reasoning, coding, and long-horizon task capabilities were targeted. - first seen 2026-06-28
- rundown-ai: In Feb., Anthropic had disclosed attacks by DeepSeek, Moonshot, and MiniMax involving 16M+ exchanges. OpenAI also raised similar concerns. - first seen 2026-06-28
- rundown-ai: Render - Modern cloud platform for AI-native and multi-service apps. Ship faster, scale reliably, no infra complexity - first seen 2026-06-28
- rundown-ai: Gemini 3.5 Flash - Google’s ultra-fast model, now with computer use - first seen 2026-06-28
- rundown-ai: Fusion - OpenRouter’s compound AI system with Fable-level intelligence - first seen 2026-06-28
Repeated From Recent Briefings
- xbtlin/ai-berkshire — AI 时代的伯克希尔：基于 Claude Code / Codex 的价值投资研究框架。巴菲特·芒格·段永平·李录四大师方法论 + 多Agent并行研究。| AI-era Berkshire: a value investing research framework built for Claude Code / Codex. 4 masters' methodologies + multi-agent adversarial analysis. - first seen 2026-06-25
- browser-use/video-use — Edit videos with coding agents - first seen 2026-06-27
- Vesta: A Generalist Embodied Reasoning Model - first seen 2026-06-23
- topoteretes/cognee — Cognee is the open-source AI memory platform for agents. Give your AI agents persistent long-term memory across sessions with a self-hosted knowledge graph engine. - first seen 2026-06-21
- Natural-Language Testing for AI Agents (using simulated isolates) - first seen 2026-06-28
- HKUDS/Vibe-Trading — "Vibe-Trading: Your Personal Trading Agent" - first seen 2026-06-03
- JCodesMore/ai-website-cloner-template — Clone any website with one command using AI coding agents - first seen 2026-06-03
- hugohe3/ppt-master — AI generates a real, editable PowerPoint from any document — native shapes & animations, speaker notes voiced as audio narration, and the option to follow your own .pptx template, not slide images · by Hugo He - first seen 2026-06-27
- diegosouzapw/OmniRoute — Never stop coding. Free AI gateway: one endpoint, 160+ providers (50+ free), connect Claude Code, Codex, Cursor, Cline & Copilot to FREE Claude/GPT/Gemini. RTK+Caveman stacked compression saves 15-95% tokens, smart auto-fallback, MCP/A2A, multimodal APIs, Desktop/PWA. - first seen 2026-05-08
- AgentOdyssey: Open-Ended Long-Horizon Text Game Generation for Test-Time Continual Learning Agents - first seen 2026-06-25
- ... plus 127 more repeated items in processed data