π΄ High Significance
Model Releases
π΄ Qwen will release another 27B with high probability β score 96
Sources: reddit/r/LocalLLaMA
Developer Tools
π΄ rohitg00/ai-engineering-from-scratch β Learn it. Build it. Ship it for others. β score 83
Sources: github_trending
Learn it. Build it. Ship it for others.
π΄ How competitive are PhD admissions currently [D] β score 81
Sources: reddit/r/MachineLearning
Hi, how hard is it currently to get a PhD position in machine Learning? Like what are the requirements to get to a decent mid tier program (= they publish regularly at respected journals and their work gets read my some people)? How is it in different regions e.g US, Europe, etc.. I am about to fini
π΄ hugohe3/ppt-master β AI generates natively editable PPTX from any document β real PowerPoint shapes with native animations, not images Β· by Hugo He β score 75
Sources: github_trending
AI generates natively editable PPTX from any document β real PowerPoint shapes with native animations, not images Β· by Hugo He
π΄ Got my boring admin work semi-automatedand it actually kinda works β score 72
Sources: reddit/r/AIAgents
I run a small business and there's a lot of dumb repetitive stuff i do every day. Sorting emails, writing client reports, moving support tickets to github so my dev stops copy pasting from slack. I can't code so the normal openclaw setup with terminal commands and api configs was a dead end for me.
Infrastructure & Compute
π΄ AMD Ryzen AI Halo PC will cost 3999$ with 128GB memory on board β score 82
Sources: reddit/r/LocalLLaMA
π΄ karpathy/autoresearch β AI agents running research on single-GPU nanochat training automatically β score 71
Sources: github_trending
AI agents running research on single-GPU nanochat training automatically
Research Papers
π΄ You Only Need Minimal RLVR Training: Extrapolating LLMs via Rank-1 Trajectories β score 70
Sources: huggingface Β· arxiv/cs.CL
Reinforcement learning with verifiable rewards (RLVR) has become a dominant paradigm for improving reasoning in large language models (LLMs), yet the underlying geometry of the resulting parameter trajectories remains underexplored. In this work, we demonstrate that RLVR weight trajectories are extr
π΄ IndusAgent: Reinforcing Open-Vocabulary Industrial Anomaly Detection with Agentic Tools β score 70
Sources: huggingface
Multimodal large language models (MLLMs) have shown remarkable capability in bridging visual perception and textual reasoning, enabling zero-shot understanding across diverse industrial scenarios. However, their performance in open-vocabulary industrial anomaly detection (IAD) is often limited by do
Other Signals
π΄ An OpenAI model has disproved a central conjecture in discrete geometry β score 90
Sources: hackernews
π΄ HuggingFace benchmark datasets now let you filter by model size β score 89
Sources: reddit/r/LocalLLaMA
Quite useful to see which model under 32B performs best on swebenchverified for example. https://huggingface.co/datasets?benchmark=benchmark:official&sort=trending
π΄ Googleβs AI is being manipulated. The search giant is quietly fighting back β score 70
Sources: hackernews
π‘ Notable
Model Releases
π‘ Qwen 3.6 35B GGUF: NTP vs MTP quantization results across GPUs and CPUs β score 68
Sources: reddit/r/LocalLLaMA
Hey r/LocalLLaMA, Weβve released our ByteShape Qwen 3.6 35B GGUF quantizations in two families: standard NTP (Next Token Prediction or non-MTP) and MTP. Blog / Download NTP Models / [Download MTP
π‘ @GoogleDeepMind: How can you accelerate your day to day research workflow? By giving AI the right scientific toolkit. We launched Science Skills for Google @Antigravity, integrating insights from over 30 major life β score 50
Sources: twitter_rss
How can you accelerate your day to day research workflow? By giving AI the right scientific toolkit. We launched Science Skills for Google @Antigravity, integrating insights from over 30 major life science sources, including UniProt and the AlphaFold Database.
π‘ @GoogleDeepMind: Gemini 3.5 Flash has landed. β score 50
Sources: twitter_rss
Gemini 3.5 Flash has landed.
π‘ Same task in github-copilot, pi, claude-code, and opencode with Qwen3.6 27B β score 46
Sources: reddit/r/LocalLLaMA
I wanted to know how much of a coding agent's performance came from the model and how much came from the harness, so I vibed a setup to allow me to test multiple agentic harnesses/model combinations on the same task. ALl the images above all come from the same model, but with a different harness. St
Developer Tools
π‘ I built a pip-installable Python coding agent from first principles β hummcode β score 63
Sources: reddit/r/AIAgents
I wanted to understand how coding agents actually work at the lowest level, so I studied a few open-source implementations and built one in Python. It's called hummcode (the Hummingbird Coding Agent).
pip install hummcodeGitHub: [https://github.com/0xchamin/hummcode](https://github.com/0x
π‘ Best way to build a visual AI soryboard workflow (n8n|zapier? Agent? Custom webapp? Already available solution?) β score 61
Sources: reddit/r/AIAgents
I need to build an AI-powered storyboard workflow or app or any system which MY BOSS WILL USE and Iβd like advice on the best tools. I have not worked with automation tools before, neither an agent, neither python. What I need to accomplish (an automated visual system for boss): My non-technical
π‘ can1357/oh-my-pi β β₯ AI Coding agent for the terminal β hash-anchored edits, optimized tool harness, LSP, Python, browser, subagents, and more β score 61
Sources: github_trending
β₯ AI Coding agent for the terminal β hash-anchored edits, optimized tool harness, LSP, Python, browser, subagents, and more
π‘ Lum1104/Understand-Anything β Graphs that teach > graphs that impress. Turn any code into an interactive knowledge graph you can explore, search, and ask questions about. Works with Claude Code, Codex, Cursor, Copilot, Gemini CLI, and more. β score 55
Sources: github_trending
Graphs that teach > graphs that impress. Turn any code into an interactive knowledge graph you can explore, search, and ask questions about. Works with Claude Code, Codex, Cursor, Copilot, Gemini CLI, and more.
π‘ Back again, many changes have taken place. β score 54
Sources: reddit/r/LocalLLaMA
After fixing more than 90 bugs, I can now safely claim that my project when downloaded from npm or built from source is stable. As a newer dev there was a LOT of issues I had to work through, hours of troubleshooting and tui/commandline conflicts. It was a nightmare but it's finally over. I would re
Omitted 1 additional developer tools items from the main section; see raw data and source-specific sections below.
Infrastructure & Compute
π‘ Anthropic is expanding to Colossus2. Will use GB200 β score 50
Sources: hackernews
π‘ vllm-project/vllm β A high-throughput and memory-efficient inference and serving engine for LLMs β score 43
Sources: github_trending
A high-throughput and memory-efficient inference and serving engine for LLMs
Research Papers
π‘ Mix-Quant: Quantized Prefilling, Precise Decoding for Agentic LLMs β score 62
Sources: huggingface Β· arxiv/cs.CL
LLM agents have recently emerged as a powerful paradigm for solving complex tasks through planning, tool use, memory retrieval, and multi-step interaction. However, these agentic workflows often introduce substantial input-side overhead, making the compute-intensive prefilling stage a key bottleneck
π‘ OCTOPUS: Optimized KV Cache for Transformers via Octahedral Parametrization Under optimal Squared error quantization β score 42
Sources: huggingface Β· arxiv/cs.LG
The key-value (KV) cache dominates memory bandwidth and footprint in long-context autoregressive inference. Recent rotation-preconditioned codecs (TurboQuant, PolarQuant) show that a structured random rotation followed by a per-coordinate scalar quantizer matched to an analytically tractable margina
Other Signals
π‘ OpenAI claims a general-purpose reasoning model found a counterexample to Erdos's unit-distance bound [D] β score 69
Sources: reddit/r/MachineLearning
OpenAI posted a math result today claiming that one of its general-purpose reasoning models found a construction disproving the conjectured n^{1+O(1/log log n)} upper bound in ErdΕsβs planar unit-distance problem. Announcement: [https://openai.com/index/model-disproves-discrete-geometry-conjecture/
π‘ CohereLabs/command-a-plus-05-2026-bf16 Β· Hugging Face β score 61
Sources: reddit/r/LocalLLaMA
π‘ Any tool to get accepted conference papers sorted by citation count? [D] β score 56
Sources: reddit/r/MachineLearning
Ie given a conference (say with openreview data) eg βNeurIPS, 2025β, return the accepted papers based on number of citations according to standard paper search engine (eg google scholar) Seems to be a surprisingly difficult thing to find online.
π‘ @OpenAI: Today, we share a breakthrough on the planar unit distance problem, a famous open question first posed by Paul ErdΕs in 1946. For nearly 80 years, mathematicians believed the best possible solutions β score 50
Sources: twitter_rss
Today, we share a breakthrough on the planar unit distance problem, a famous open question first posed by Paul ErdΕs in 1946. For nearly 80 years, mathematicians believed the best possible solutions looked roughly like square grids. An OpenAI model has now disproved that belief, discovering an entir
π’ Incremental
Model Releases
π’ How can you stop your model from looping β score 11
Sources: reddit/r/LocalLLaMA
So i thought this is a small model issue but when i added a new gpu and i am able to run low mid model like Qwen 3.6 35b q4 or q5 this issue still exists now its not as much as small model but it does break when linking the model to copilot chat or Hermes the model mid task will start loop thinking
Developer Tools
π’ DayuanJiang/next-ai-draw-io β A next.js web application that integrates AI capabilities with draw.io diagrams. This app allows you to create, modify, and enhance diagrams through natural language commands and AI-assisted visualization. β score 37
Sources: github_trending
A next.js web application that integrates AI capabilities with draw.io diagrams. This app allows you to create, modify, and enhance diagrams through natural language commands and AI-assisted visualization.
π’ [VAPI Experts: How are you handling real client phone numbers and no-answer routing? β score 28
Sources: reddit/r/AIAgents
Hey guys, Iβm building an AI receptionist with Vapi + Make for service businesses (HVAC, plumbing, etc.) and Iβm trying to understand how production setups actually work. I have a few questions: 1. How do you connect a clientβs existing business phone number to a Vapi agent? 2. If the client already
π’ Are Ai agents creating a new workflow management problem with managed OpenClaw? β score 28
Sources: reddit/r/AIAgents
The more I work with Ai agents, the more I notice that the models are getting smarter faster than the tools we have to manage them. Getting agents running is becoming easier. Managing them long term feels much messier, even when using a managed OpenClaw setup. Once multiple workflows stay active acr
π’ Helix-agi project β score 28
Sources: reddit/r/AIAgents
I've been working on an Agentic wrapper system kind of like Openclaw or Hermes but with an 8d spatial-mapping system for memory retrieval instead of conventional RAG based system. I'm just looking to get some more people involved in testing and giving feedback for additional troubleshooting. [https:
π’ ZeroID Agent Identity now has CIBA β score 28
Sources: reddit/r/AIAgents
ZeroID recently added support for client initiated backchannel authentication. ZeroID allows you to create agent identities with scoped permissions and delegated access. The only problem was you needed to predefine all permissions up front and they were stat
Omitted 5 additional developer tools items from the main section; see raw data and source-specific sections below.
Infrastructure & Compute
π’ Looking for real world comparisons between WALL OSS pi0.6 and OpenVLA[D] β score 38
Sources: reddit/r/MachineLearning
I am choosing a baseline for a real manipulation stack and trying not to lose a month on setup that someone here has already done. Shortlist is OpenVLA, pi0.6, and WALL OSS from X Square Robot. OpenVLA is still the easiest reference point with lots of reproductions. pi0.6 looks strong from recent pu
π’ Training a vision model from scratch on iPod touch 4 images β score 32
Sources: reddit/r/LocalLLaMA
I trained a DCGAN model from scratch on iPod touch 4 pics. I understand the scale needed to train a vision model from scratch so Iβm starting with just 1 case/object to take pics of. I took around 350 pics of a red solo cup in different backgrounds, lighting conditions, etc. The pictures that the mo
π’ AMD BC-250 and the search for Cheap Compute β score 18
Sources: reddit/r/LocalLLaMA
I've been searching for disused/underappreciated compute vectors for a few months since the MI50 shot up in proce - in comes the salvaged PS5 APU on a standalone board; Zen 2, 16 GB unified GDDR6, RDNA 2 (gfx1013). They're $50-150 on eBay and ship with 24 of 40 CUs enabled. Got curious and started r
π’ ai-dynamo/dynamo β A Datacenter Scale Distributed Inference Serving Framework β score 7
Sources: github_trending
A Datacenter Scale Distributed Inference Serving Framework
π’ High E2E latency on fine-tuned Gemma 4 26B despite low TTFT [R] β score 6
Sources: reddit/r/MachineLearning
Recently fine-tuned a Gemma 4 26B model, and Iβm seeing surprisingly high end-to-end latency despite the effective inference footprint being much smaller (~4B-ish behavior during serving). Current setup: * Model: Gemma 4 26B (fine-tuned) * Engine: vLLM * Quantization: FP8 * Hardware: H100 Observed
Business & Funding
π’ OpenAI Is Preparing to File for an IPO Soon β score 30
Sources: hackernews
Other Signals
π’ Qwen3.6 27B and llama.cpp appreciation post β score 39
Sources: reddit/r/LocalLLaMA
To preface, here's my config: llama-server \ --host 0.0.0.0 \ --port 1235 \ --models-preset %h/Software/models.ini \ --models-max 1 \ --sleep-idle-seconds 3600 \ --timeout 3600 \ --parallel 1 \ --device ROCm0,ROCm1 [*] flash-attn = on jinja = true fit = true ctxcp = 5 offline = true mmproj-offload =
π’ Columbia Machine Learning Summer School (MLSS) 2026 [D] β score 38
Sources: reddit/r/MachineLearning
I got into this CFE MLSS 2026 and would like to connect with people who also got into it or have been in previous cohorts! I am organizing a group chat for people who got into the program :DD https://cfe.columbia.edu/content/mlss
π’ Typewise (YC S22) Is Hiring an AI Growth Engineer (Zurich or Remote) β score 10
Sources: hackernews
π’ I built AgentLighthouse, a local βLighthouse for AI agentsβ that scans repos/docs/APIs for agent readiness β score 8
Sources: reddit/r/AIAgents
hello The basic idea comes from the fact that more people (including me) use Codex, Claude Code, Cursor, Copilot, MCP tools, etc., but they are still written only for humans. Agents might fail and struggle to use what you build because setup commands are unclear, docs are stale, OpenAPI operations a
π’ HalBench: I built a custom sycophancy and hallucination benchmark and tested 4 frontier models (Sonnet 4.6, Grok 4.3, GPT 5.4 and Gemini 3.1 Pro), looking for input on what OSS models to run next! β score 5
Sources: reddit/r/LocalLLaMA
||0.64| |:-|:-| # HalBench Results: TL;DR: I built HalBench, an open benchmark for LLM sycophancy and hallucination. 3,200 false-premise prompts Γ 4 models = 12,800 graded responses. Validated against a human reader on 100 random items. Sonnet 4.6 > Grok 4.3 > GPT-5.4 > Gemini 3.1 Pro,
π Trending Repos
| Repo | Description | Stars Today | Language |
|---|---|---|---|
| rohitg00/ai-engineering-from-scratch | Learn it. Build it. Ship it for others. | 765 | python |
| hugohe3/ppt-master | AI generates natively editable PPTX from any document β real PowerPoint shapes with native animations, not images Β· by Hugo He | 421 | python |
| karpathy/autoresearch | AI agents running research on single-GPU nanochat training automatically | 367 | python |
| can1357/oh-my-pi | β₯ AI Coding agent for the terminal β hash-anchored edits, optimized tool harness, LSP, Python, browser, subagents, and more | 270 | typescript |
| Lum1104/Understand-Anything | Graphs that teach > graphs that impress. Turn any code into an interactive knowledge graph you can explore, search, and ask questions about. Works with Claude Code, Codex, Cursor, Copilot, Gemini CLI, and more. | 188 | typescript |
| volcengine/OpenViking | OpenViking is an open-source context database designed specifically for AI Agents(such as openclaw). OpenViking unifies the management of context (memory, resources, and skills) that Agents need through a file system paradigm, enabling hierarchical context delivery and self-evolving. | 111 | python |
| vllm-project/vllm | A high-throughput and memory-efficient inference and serving engine for LLMs | 99 | python |
| DayuanJiang/next-ai-draw-io | A next.js web application that integrates AI capabilities with draw.io diagrams. This app allows you to create, modify, and enhance diagrams through natural language commands and AI-assisted visualization. | 68 | typescript |
| e2b-dev/E2B | Open-source, secure environment with real-world tools for enterprise-grade agents. | 34 | python |
| agentgateway/agentgateway | Next Generation Agentic Proxy for AI Agents and MCP servers | 20 | rust |
π New Papers
| Title | Category | Hotness | Link |
|---|---|---|---|
| You Only Need Minimal RLVR Training: Extrapolating LLMs via Rank-1 Trajectories | research_paper | 26 | Open |
| IndusAgent: Reinforcing Open-Vocabulary Industrial Anomaly Detection with Agentic Tools | research_paper | 26 | Open |
| Mix-Quant: Quantized Prefilling, Precise Decoding for Agentic LLMs | research_paper | 17 | Open |
| Shiny Stories, Hidden Struggles: Investigating the Representation of Disability Through the Lens of LLMs | cs.CL | 0 | Open |
| Leveraging Large Language Models for Sentiment Analysis: Multi-Modal Analysis of Decentraland's MANA Token | cs.CL | 0 | Open |
| Improving Quantized Model Performance in Qualitative Analysis with Multi-Pass Prompt Verification | cs.CL | 0 | Open |
| Parallel LLM Reasoning for Bias-Resilient, Robust Conceptual Abstraction | cs.CL | 0 | Open |
| Pseudo-Siamese Network for Planning in Target-Oriented Proactive Dialogues | cs.CL | 0 | Open |
| Data Scaling as Progressive Coverage of a Predictive Contribution Spectrum | cs.CL | 0 | Open |
| MedicalBench: Evaluating Large Language Models Toward Improved Medical Concept Extraction | cs.CL | 0 | Open |
| FlowLM: Few-Step Language Modeling via Diffusion-to-Flow Adaptation | cs.CL | 0 | Open |
| Long-Context Reasoning Through Proxy-Based Chain-of-Thought Tuning | cs.CL | 0 | Open |
| Under Pressure: Emotional Framing Induces Measurable Behavioral Shifts and Structured Internal Geometry in Small Language Models | cs.CL | 0 | Open |
| Synchronization and Turn-Taking in Full-Duplex Speech Dialogue Models | cs.CL | 0 | Open |
| When Reasoning Supervision Hurts: TTCW-Based Long-Form Literary Review Generation | cs.CL | 0 | Open |
π¦ Twitter/X Highlights
| Account | Tweet Summary |
|---|---|
| OpenAI | Today, we share a breakthrough on the planar unit distance problem, a famous open question first posed by Paul ErdΕs in 1946. For nearly 80 years, mathematicians believed the best possible solutions looked roughly like square grids. An OpenAI model has now disproved that belief, discovering an entir Post |
| GoogleDeepMind | How can you accelerate your day to day research workflow? By giving AI the right scientific toolkit. We launched Science Skills for Google @Antigravity, integrating insights from over 30 major life science sources, including UniProt and the AlphaFold Database. Post |
| GoogleDeepMind | Gemini 3.5 Flash has landed. Post |
Repeated From Recent Briefings
- tinyhumansai/openhuman β Your Personal AI super intelligence. Private, Simple and extremely powerful. - first seen 2026-05-11
- colbymchenry/codegraph β Pre-indexed code knowledge graph for Claude Code, Codex, Cursor, and OpenCode β fewer tokens, fewer tool calls, 100% local - first seen 2026-05-09
- Video2GUI: Synthesizing Large-Scale Interaction Trajectories for Generalized GUI Agent Pretraining - first seen 2026-05-15
- Imbad0202/academic-research-skills β Academic Research Skills for Claude Code: research β write β review β revise β finalize - first seen 2026-05-13
- Machine Learning on Spherical Manifold [R] - first seen 2026-05-20
- The harmless prompt injection that leaked our system architecture - first seen 2026-05-20
- rtk-ai/rtk β CLI proxy that reduces LLM token consumption by 60-90% on common dev commands. Single Rust binary, zero dependencies - first seen 2026-05-05
- rohitg00/agentmemory β #1 Persistent memory for AI coding agents based on real-world benchmarks - first seen 2026-05-09
- HKUDS/CLI-Anything β "CLI-Anything: Making ALL Software Agent-Native" -- CLI-Hub:https://clianything.cc/ - first seen 2026-05-17
- Alishahryar1/free-claude-code β Use claude-code for free in the terminal, VSCode extension or discord like OpenClaw (voice supported) - first seen 2026-05-20
- ... plus 545 more repeated items in processed data