πŸ”΄ High Significance

Model Releases

πŸ”΄ We should heavily discourage and moderate cloud API (deepseek api, GLM api, etc.) topics and discussion. This is LOCAL first. β€” score 75 Sources: reddit/r/LocalLLaMA

I’m just some fucking guy. This is just some fucking opinion. I’ve seen tons of stealth marketing or related topics on this subreddit about how great or how easy it is to use some random subscription api. Why the fuck are we allowing people to so casually talk about how much more affordable their za

Developer Tools

πŸ”΄ shuvonsec/claude-bug-bounty β€” AI-powered bug bounty hunting from your terminal - recon, 20 vuln classes, autonomous hunting, and report generation. All inside Claude Code. β€” score 86 Sources: github_trending

AI-powered bug bounty hunting from your terminal - recon, 20 vuln classes, autonomous hunting, and report generation. All inside Claude Code.

πŸ”΄ browser-use/browser-use β€” 🌐 Make websites accessible for AI agents. Automate tasks online with ease. β€” score 81 Sources: github_trending

🌐 Make websites accessible for AI agents. Automate tasks online with ease.

πŸ”΄ How to setup a local coding agent on macOS β€” score 75 Sources: hackernews

Business & Funding

πŸ”΄ Anthropic forced to abruptly disable Fable 5 & Mythos 5 globally by US Gov over a jailbreak. This is exactly why we need local models. β€” score 89 Sources: reddit/r/LocalLLaMA

I just saw this statement regarding Anthropic being hit with an emergency export control directive from the US government. They were forced to pull the plug on Fable 5 and Mythos 5 for all customers globally. The tl;dr is that the government got spooked by a narrow jailbreak (which basically just so

Other Signals

πŸ”΄ Friendly reminder β€” score 96 Sources: reddit/r/LocalLLaMA

If you don't have it on your own drive, someone is going to take it away, enshittify it, bar you from accessing it, censor it, and hike the prices of it sooner or later.

πŸ”΄ Open source AI must win β€” score 92 Sources: hackernews

πŸ”΄ MiniMaxAI/MiniMax-M3 Β· Hugging Face β€” score 82 Sources: reddit/r/LocalLLaMA

Minimax m3 weights are out !! It has ~428B parameters and ~23B activated parameters.

πŸ”΄ Unprofessional Coauthor Behavior with Hallucinated References [D] β€” score 81 Sources: reddit/r/MachineLearning

Just thought I'd highlight this issue to the ML community, since I recently had this problem arise and it might be useful for some. I had a coauthor who I knew was somewhat untrustworthy when it came to LLM use. This coauthor added some last-minute new references to the paper. The deadline was near,

🟑 Notable

Model Releases

🟑 We should set up a torrent network for open source models. β€” score 54 Sources: reddit/r/LocalLLaMA

Was just thinking about this due to recent events. Hugging Face is a US-based company, legally incorporated as Hugging Face, Inc. with its official headquarters located in Brooklyn, New York. It seems like a pretty big single point of failure for local models. Maybe a distributed network mirror of m

🟑 @AnthropicAI: The US government, citing national security authorities, has issued an export control directive to suspend all access to Fable 5 and Mythos 5 by any foreign national, whether inside or outside the Uni β€” score 50 Sources: twitter_rss

The US government, citing national security authorities, has issued an export control directive to suspend all access to Fable 5 and Mythos 5 by any foreign national, whether inside or outside the United States, including foreign national Anthropic employees. The net effect of this order is that we

🟑 @GoogleDeepMind: Our Robotics Accelerator has launched with 15 startups helping shape the future of physical AI in Europe. πŸ€– This three-month program will connect them with access to our AI stack, Gemini Robotics mod β€” score 50 Sources: twitter_rss

Our Robotics Accelerator has launched with 15 startups helping shape the future of physical AI in Europe. πŸ€– This three-month program will connect them with access to our AI stack, Gemini Robotics models and hands-on support from our teams. Meet the companies β†’ https://goo.gle/4oeEk2K

🟑 @simonw: I got fed up of waiting for OpenAI to bring their much improved gpt-realtime-2 voice conversation model to the ChatGPT product, so I upgraded my OpenAI-WebRTC playground tool to use it and to let you β€” score 50 Sources: twitter_rss

I got fed up of waiting for OpenAI to bring their much improved gpt-realtime-2 voice conversation model to the ChatGPT product, so I upgraded my OpenAI-WebRTC playground tool to use it and to let you paste in a document to have a conversation about, too https://simonwillison.net/2026/Jun/12/openai-w

Developer Tools

🟑 I am at a hackathon and building a Strategic CMO-cofounder agent. Anyone who wants to try it nowish? β€” score 67 Sources: reddit/r/AIAgents

I can DM you the link. Would be great to get feedback and questions before judges (in next 60 mins)

🟑 We put 7 LLM agents in a FIFA World Cup betting arena. They are forced to pick a side. (Here is how it works) β€” score 67 Sources: reddit/r/AIAgents

We're running 7 models against Polymarket's World Cup markets (paper capital, real prices) and some design decisions might interest people building agent evals. The core problem: LLMs are trained to hedge. Ask one "who wins France vs Brazil" and you get a balanced essay. So the protocol forces a dec

🟑 PaddleOCR (v3/v4/v5/v6) implemented in C++ with ncnn [P] β€” score 56 Sources: reddit/r/MachineLearning

Hi, About a year ago I shared my PaddleOCR implementation here. Since then I've made many improvements, and it now supports PP-OCR v3 through the latest v6 models. The official Paddle C++ runtime has a lot of dependencies and is very complex to deploy. To keep things simple I use ncnn for infere

🟑 LMCache/LMCache β€” LMCache: Supercharge Your LLM with the Fastest KV Cache Layer β€” score 46 Sources: github_trending

LMCache: Supercharge Your LLM with the Fastest KV Cache Layer

🟑 We’re building Leangetic ! A local-first compiler for making AI agents cheaper without changing their behavior β€” score 44 Sources: reddit/r/AIAgents

Hey everyone, We’ve been working on Leangetic, a tool for teams building AI agents that are starting to feel expensive, slow, or hard to control in production. The basic idea is simple: Most agents use an LLM for everything, even when part of the workflow is really just deterministic software wo

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

Infrastructure & Compute

🟑 Local LLMs aren't democratic anymore... the hardware barrier has gotten out of hand. β€” score 68 Sources: reddit/r/LocalLLaMA

When we first started experimenting with local LLMs, it was a completely different story! We were using gaming GPUs to tinker around. 8GB or 16GB of VRAM (which wasn't even a given for everyone) was the norm, and so many people could actually get their hands dirty and experiment. Let’s just forget f

Research Papers

🟑 See What I See, Know What I Think: Dense Latent Communication Across Heterogeneous Agents β€” score 55 Sources: huggingface

Multi-agent systems communicate mostly through text, paying a lossy and expensive decode and re-encode cost. KV-cache communication is a promising alternative, yet most prior work is homogeneous, using duplicate copies of the same model, and avoids the central challenge of cross-model latent alignme

Other Signals

🟑 Statement on the US government directive to suspend access to Fable 5 and Mythos 5 β€” score 61 Sources: reddit/r/LocalLLaMA

🟑 Slightly reducing the sloppiness of AI generated front end β€” score 58 Sources: hackernews

🟑 I scaled test-time compute for Qwen-3.6-27B and Gemma-4-31B to surpass Claude Mythos in code optimizations and speedups. β€” score 46 Sources: reddit/r/LocalLLaMA

The scaffold uses ~25-40x more compute on the original baseline model to attempt the same problem. I put it into max mode by setting the branches exploration breadth to 5, iterative corrections loop depth to 10 and 6 branch aware selective hypothesis that are revised after every 2 iterations. These

🟑 Shepherd's Dog: A Game by the Most Dangerous AI Model β€” score 42 Sources: hackernews

🟒 Incremental

Model Releases

🟒 New model on huggingface β€” score 39 Sources: reddit/r/LocalLLaMA

https://huggingface.co/prefeitura-rio/Rio-3.5-Open-397B A qwen finetune. Looks pretty even with qwen 3.7 plus, except it's actually open source. Disclosure: I work as a researcher for the city government of Rio de Janeiro, which developed th

🟒 when fable gets banned but it's ok because you've about to download qwen3.7_67b_21a_mythos_father_fable_mother_distilled_ablated_ablitereted_uncensored_agi_sparse_attention_MTP_SuperHOT_q6_maybe_q7_AGI_FINAL.gguf from huggingface β€” score 32 Sources: reddit/r/LocalLLaMA

title

🟒 Launch HN: BitBoard (YC P25) – Analytics Workspace for Agents β€” score 25 Sources: hackernews

🟒 ZONOS2: real-time TTS with 8B params, 900M active, and high-fidelity voice cloning β€” score 4 Sources: reddit/r/LocalLLaMA

https://reddit.com/link/1u4lk5c/video/kyhdw0uog07h1/player Links: * Blog: https://zyphra.com/our-work/zonos2 * Weights: https://huggingface.co/Zyphra/ZONOS2 * Inference code: [https://github.com/Zyphra/ZONOS2](https://gith

Developer Tools

🟒 basicmachines-co/basic-memory β€” AI conversations that actually remember. Never re-explain your project to your AI again. Join our Discord:https://discord.gg/tyvKNccgqN β€” score 35 Sources: github_trending

AI conversations that actually remember. Never re-explain your project to your AI again. Join our Discord:https://discord.gg/tyvKNccgqN

🟒 cocoindex-io/cocoindex β€” Incremental engine for long horizon agents 🌟 Star if you like it! β€” score 27 Sources: github_trending

Incremental engine for long horizon agents 🌟 Star if you like it!

🟒 I put my AI agent governance platform online. Try to break it. β€” score 24 Sources: reddit/r/AIAgents

I’ve spent the last several months building Bendex Arc, a governance layer that sits between AI agents and the real world. As agents get browser access, tools, MCP servers, memory, and the ability to take actions, I kept running into the same gap: nothing was tracking what authority those agents sho

🟒 modelscope/ms-swift β€” Use PEFT or Full-parameter to CPT/SFT/DPO/GRPO 600+ LLMs (Qwen3.6, DeepSeek-V4, GLM-5.1, InternLM3, Llama4, ...) and 300+ MLLMs (Qwen3-VL, Qwen3-Omni, InternVL3.5, Ovis2.5, GLM4.5v, Gemma4, Llava, Phi4, ...) (AAAI 2025). β€” score 23 Sources: github_trending

Use PEFT or Full-parameter to CPT/SFT/DPO/GRPO 600+ LLMs (Qwen3.6, DeepSeek-V4, GLM-5.1, InternLM3, Llama4, ...) and 300+ MLLMs (Qwen3-VL, Qwen3-Omni, InternVL3.5, Ovis2.5, GLM4.5v, Gemma4, Llava, Phi4, ...) (AAAI 2025).

🟒 I'm hiring someone obsessed with AI and the creator economy to scale our membership agency β€” score 22 Sources: reddit/r/AIAgents

Hi everyone, I'm looking for a strong operator who is equally obsessed and ahead of the curve when it comes to production-ready AI agents for creator services. After using AI heavily since 2022 (and yet, not as much as I'd like), I have a strong sense of the architecture and want to collab with some

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

Infrastructure & Compute

🟒 colinhacks/zod β€” TypeScript-first schema validation with static type inference β€” score 25 Sources: github_trending

TypeScript-first schema validation with static type inference

🟒 Derivative-Free Neural Network Optimization: MNIST Case [R] β€” score 12 Sources: reddit/r/MachineLearning

A direct optimization test was conducted on a neural network for MNIST image classification. The network features a 784-32-10 architecture with a total of 25,450 continuous parameters (weights and biases). Instead of employing backpropagation or gradient information, the parameters were optimized us

Research Papers

🟒 A Stationary (and Therefore Compatible) Representation is All You Need β€” score 20 Sources: huggingface

Learning compatible representations aims to learn feature representations that can be used interchangeably over time whenever a model undergoes updates. In this paper, we demonstrate that stationary representations learned by d-Simplex fixed classifiers imply compatibility as in its formal definitio

Other Signals

🟒 GLM-5.2 next week, open weight, MIT β€” score 25 Sources: reddit/r/LocalLLaMA

🟒 A friendly reminder that APIs are rented, local weights are forever β€” score 18 Sources: reddit/r/LocalLLaMA

Anthropic just nuked Fable 5 globally to comply with a sudden US export ban because they couldn't instantly verify the nationality of their cloud users. Let this be a massive reminder to the community: if the weights aren't running on your own hardware, you don't actually control your AI. Cloud APIs

🟒 Fable 5 data, including CoT β€” score 11 Sources: reddit/r/LocalLLaMA

https://huggingface.co/datasets/Glint-Research/Fable-5-traces A simple dataset of all the Fable 5 data we could get our hands on before it was taken away (no clue if it's coming back). Expect some fine-tuned models trained on this soon

RepoDescriptionStars TodayLanguage
shuvonsec/claude-bug-bountyAI-powered bug bounty hunting from your terminal - recon, 20 vuln classes, autonomous hunting, and report generation. All inside Claude Code.226python
browser-use/browser-use🌐 Make websites accessible for AI agents. Automate tasks online with ease.181python
LMCache/LMCacheLMCache: Supercharge Your LLM with the Fastest KV Cache Layer28python
elie222/inbox-zeroThe world's best AI personal assistant for email. Open source app to help you reach inbox zero fast.27typescript
basicmachines-co/basic-memoryAI conversations that actually remember. Never re-explain your project to your AI again. Join our Discord:https://discord.gg/tyvKNccgqN20python
cocoindex-io/cocoindexIncremental engine for long horizon agents 🌟 Star if you like it!15rust
colinhacks/zodTypeScript-first schema validation with static type inference14typescript
modelscope/ms-swiftUse PEFT or Full-parameter to CPT/SFT/DPO/GRPO 600+ LLMs (Qwen3.6, DeepSeek-V4, GLM-5.1, InternLM3, Llama4, ...) and 300+ MLLMs (Qwen3-VL, Qwen3-Omni, InternVL3.5, Ovis2.5, GLM4.5v, Gemma4, Llava, Phi4, ...) (AAAI 2025).11python
novuhq/novuThe open-source communication infrastructure for agents and products4typescript

πŸ“„ New Papers

TitleCategoryHotnessLink
See What I See, Know What I Think: Dense Latent Communication Across Heterogeneous Agentsresearch_paper4Open
A Stationary (and Therefore Compatible) Representation is All You Needresearch_paper3Open

🐦 Twitter/X Highlights

AccountTweet Summary
AnthropicAIThe US government, citing national security authorities, has issued an export control directive to suspend all access to Fable 5 and Mythos 5 by any foreign national, whether inside or outside the United States, including foreign national Anthropic employees. The net effect of this order is that we Post
GoogleDeepMindOur Robotics Accelerator has launched with 15 startups helping shape the future of physical AI in Europe. πŸ€– This three-month program will connect them with access to our AI stack, Gemini Robotics models and hands-on support from our teams. Meet the companies β†’ https://goo.gle/4oeEk2K Post
simonwI got fed up of waiting for OpenAI to bring their much improved gpt-realtime-2 voice conversation model to the ChatGPT product, so I upgraded my OpenAI-WebRTC playground tool to use it and to let you paste in a document to have a conversation about, too https://simonwillison.net/2026/Jun/12/openai-w Post

Repeated From Recent Briefings