π΄ High Significance
Model Releases
π΄ Claude Fable 5 β score 94
Sources: hackernews
π΄ If Claude Fable stops helping you, you'll never know β score 81
Sources: hackernews
Developer Tools
π΄ Woke up to a $360 bill because my AI agent went rogue overnight. Observability is a nightmare. β score 83
Sources: reddit/r/AIAgents
Hey r/aiagents, Just had a truly painful morning. Left an agent running overnight, thought everything was fine, only to wake up to a bill that made my jaw drop. We're talking $360 for what should have been a simple, contained task. This isn't just about the money, though that stings. It's about the
π΄ Without open llm competition, closed source LLM companies will become insatiable. β score 82
Sources: reddit/r/LocalLLaMA
I can't imagine how arrogant one must be to make such a decision. People pay $200 a month for Anthropic to mess with their codebase. Imagine how they would humiliate their customers if the world didn't have an open-source model. https://preview.redd.it/6qr2ymt25d6h1.png?width=1646&format=png&
π΄ iOS 27 Siri is using WaveRNN and FastSpeech2 [D] β score 81
Sources: reddit/r/MachineLearning
Found from iOS Simulator's files. Both of them are in espresso format There's also another compiled CoreML for concert ranking and based on the content inside of it looks like to be a simple logistic regression. See [https://www.reddit.com/r/jailbreak/comments/1u1e1b4/access_to_simulators_root_f
π΄ AI agent demos are fun, but the boring tests are where the truth shows up β score 72
Sources: reddit/r/AIAgents
Iβve seen a lot of impressive voice agent demos lately, but the real evaluation starts after the demo script ends. What happens when the customer interrupts? Goes silent? Changes their mind? Gives half the required info? Asks something out of scope? For anyone building or buying agents, what are you
π΄ NVIDIA/SkillSpector β Security scanner for AI agent skills. Detect vulnerabilities, malicious patterns, and security risks. β score 71
Sources: github_trending
Security scanner for AI agent skills. Detect vulnerabilities, malicious patterns, and security risks.
Infrastructure & Compute
π΄ Since when the RTX 6000 PRO is priced at 13250USD on the official NVIDIA Page? β score 75
Sources: reddit/r/LocalLLaMA
Research Papers
π΄ Kwai Keye-VL-2.0 Technical Report β score 95
Sources: huggingface
We introduce Kwai Keye-VL-2.0-30B-A3B, an open-source Mixture-of-Experts (MoE) multimodal foundation model designed to advance long-video understanding and agentic intelligence. To address the challenges of ultra-long contexts, information redundancy, and prohibitive computational costs inherent in
π΄ Role-Agent: Bootstrapping LLM Agents via Dual-Role Evolution β score 78
Sources: huggingface Β· arxiv/cs.AI
Although Large Language Model (LLM) agents have demonstrated strong performance on complex tasks, their learning is often limited by inefficient interaction feedback and static training environments, which hinder broader generalization. To address these limitations, this paper introduces Role-Agent,
Other Signals
π΄ Rick & Morty β score 96
Sources: reddit/r/LocalLLaMA
nobody expected HF there
π΄ claude fable 5 just dropped and i genuinely cannot keep up anymore. how do you all stay on top of this stuff? β score 94
Sources: reddit/r/AIAgents
so fable 5 launched today. mythos-class, public, $10/$50 per million tokens, apparently miles ahead on agentic coding benchmarks. that's huge news. it's also the third huge news this week. last week it was the loops discourse... everyone arguing about whether designing loops is the future or just a
π΄ Anthropic is intentionally nerfing Fable when asked to develop other LLMs β score 89
Sources: reddit/r/LocalLLaMA
Reason 458 why local LLMs are going to be a necessity
π‘ Notable
Model Releases
π‘ Without open source LLMs, US AI companies could have already monopoled the technology β score 54
Sources: reddit/r/LocalLLaMA
For such technology with clear importance and impact on all of us, I believe that making it open source is an ethical duty, otherwise, especially with the 1-sided politics of the US we experience today, they could have already monopolized the technology by now, maybe make it exclusively available to
π‘ GuideAnts Open Source AI and agents platform β score 50
Sources: reddit/r/AIAgents
Today I put a release stamp on https://github.com/Elumenotion/GuideAnts, a full and open AI platform which supports local AI (chat, ASR, TTS, images, embeddings, etc) using Hugging Face Hub and cloud models from several providers including Hugging Face inf
π‘ From data to decisions: how LSEG is scaling trusted AI β score 50
Sources: lab_blog/OpenAI
See how LSEG uses OpenAI to scale trusted AI across its global business, accelerating insights, shrinking release cycles, and empowering 4,000 employees.
π‘ How engineers at Nextdoor use Codex to build without limits β score 50
Sources: lab_blog/OpenAI
How engineers at Nextdoor use Codex with GPT-5.5 to investigate hard-to-reproduce issues, build across platforms, and focus on product outcomes.
π‘ Fluid, natural voice translation with Gemini 3.5 Live Translate β score 50
Sources: lab_blog/DeepMind
Gemini 3.5 Live Translate brings near real-time, natural speech translation to Google AI Studio, Google Translate and Google Meet.
Omitted 5 additional model releases items from the main section; see raw data and source-specific sections below.
Developer Tools
π‘ Common weaknesses and scale issues with popular harnesses β score 61
Sources: reddit/r/AIAgents
Local-first agent frameworks like OpenClaw and Hermes Agent are brilliant when you are a solo developer running a script in your own terminal. They give you a fast, raw playground where an LLM can write to your local disk, run command tools, and call APIs. But the moment you try to put these framewo
π‘ maziyarpanahi/openmed β open-source healthcare ai β score 59
Sources: github_trending
open-source healthcare ai
π‘ Ataraxy-Labs/sem β Semantic version control => entity-level diffs, blame, and impact analysis on top of git. 26 languages via tree-sitter. Built for coding agents. β score 53
Sources: github_trending
Semantic version control => entity-level diffs, blame, and impact analysis on top of git. 26 languages via tree-sitter. Built for coding agents.
π‘ What will be the next breakthrough in ASR? [D] β score 50
Sources: reddit/r/MachineLearning
Hey All, I am currently working on ASR models, and I have gathered some recent literature. From my literature search, it seems like the ASR models are getting more and more powerful due to two main things. 1. Because pseudo-labelled data is growing, supervised models are rising rapidly. Whisper-larg
Research Papers
π‘ Interpreting and Steering a Text-to-Speech Language Model with Sparse Autoencoders β score 68
Sources: huggingface Β· arxiv/cs.AI
Language models increasingly serve as the backbone of text-to-speech (TTS) systems, yet we understand little about the representations they build when text and generated speech tokens share a single residual stream. We train BatchTopK sparse autoencoders on the LM backbone of CosyVoice3 and introduc
π‘ UniPET: a universal network for high-quality PET image denoising across varied dose reduction factors β score 50
Sources: huggingface
Most existing deep learning-based PET image denoising methods assume a fixed and known dose reduction factor (DRF) for low-dose PET images. However, these methods encounter significant performance degradation when the DRF varies beyond the assumed one in practical applications. To address the challe
π‘ U-TTT: Towards Generalizable PET Image Denoising via Test-Time Training β score 50
Sources: huggingface
Existing deep learning models for Positron Emission Tomography (PET) image denoising often suffer from severe performance degradation under distribution shifts, fundamentally restricting their robust clinical deployment. This lack of generalization stems from the conventional paradigm of fixed-param
Other Signals
π‘ Introducing Papers Without Code [P] β score 69
Sources: reddit/r/MachineLearning
Hi, Niels here from the open-source team at Hugging Face. I've recently relaunched paperswithcode.co as a source for finding the state of the art (SOTA) across various AI domains, from 3D generation to AI agents. This is done by automatically parsing research papers publi
π‘ CEOs who think AI replaces their employees are just bad CEOs β score 69
Sources: hackernews
π‘ People are making single-slot, half height pcie v100 with nvlink in China β score 68
Sources: reddit/r/LocalLLaMA
https://preview.redd.it/cugpphztz96h1.jpg?width=899&format=pjpg&auto=webp&s=2aa10f8b8f2a0ff666cdc2c63c1775ffd2ed7e7b https://preview.redd.it/14wncc3tz96h1.jpg?width=850&format=pjpg&auto=webp&s=85d3bc9c19ef458a0578159d5dc709552e92dad9 https://preview.redd.it/bj4fmubsz96h1.png?
π‘ Unsloth Gemma 4 QAT MTP assistant models now available β score 61
Sources: reddit/r/LocalLLaMA
They're both available as q8_0 models named
mtp-gemma-4-*.ggufon the root of the directory and in both q8_0 and larger quants within anMTPfolder. - https://huggingface.co/unsloth/gemma-4-12B-it-qat-GGUF/tree/main - https://huggingface.co/unsloth/gemma-4-26B-A4B-it-qat-GGUF/tree/main - https:/
π‘ German ruling declares Google liable for false answers in AI Overviews β score 56
Sources: hackernews
Omitted 2 additional other signals items from the main section; see raw data and source-specific sections below.
π’ Incremental
Model Releases
π’ I'm brand new to running LLMs and the sheer number of tools is overwhelming β score 36
Sources: reddit/r/LocalLLaMA
Hey everyone. I'm brand new to running LLMs in general, even more new to running them locally, and the sheer number of tools available is absolutely overwhelming. Regarding applications, I look at github and see so many different options that I don't know what to pick. Can't really fully decipher th
π’ Releasing Apodex-1.0 Smol Models (0.8B, 2B, 4B Open-Weights) optimized for Agentic Verification + AgentHarness Evals β score 36
Sources: reddit/r/LocalLLaMA
Hey r/LocalLLaMA, We just released Apodex 1.0, and alongside our flagship API, we are releasing the weights for our Smol models (0.8B, 2B, and 4B). Our core research focuses on independent verification in long-horizon tasks. Instead of just scaling up parameter sizes for raw generation,
π’ Local LLms releases β score 21
Sources: reddit/r/LocalLLaMA
Here are some graphs for the Local LLMs releases, it's strange except for the last month, i thought that this year was very heavy in terms of release, but is seems that the peak was last year. Maybe the hype about the quality improvement this year made it seems that it was richer than last year.
π’ Can you really replace paid models with a local model? β score 11
Sources: reddit/r/LocalLLaMA
Long time lurker, and I say this as someone who genuinely loves this community and runs many local models myself. Iβve been using LLMs since the early GPT and LLaMA days. Obviously, models have come a unbelievably long way. Local/open models today are dramatically better than what we had a even a fe
Developer Tools
π’ chroma-core/chroma β Search infrastructure for AI β score 39
Sources: github_trending
Search infrastructure for AI
π’ anthropics/claude-code-security-review β An AI-powered security review GitHub Action using Claude to analyze code changes for security vulnerabilities. β score 35
Sources: github_trending
An AI-powered security review GitHub Action using Claude to analyze code changes for security vulnerabilities.
π’ Grit: Rewriting Git in Rust with agents β score 31
Sources: hackernews
π’ luongnv89/asm β The universal skill manager for AI coding agents. β score 29
Sources: github_trending
The universal skill manager for AI coding agents.
π’ Current leading platform to build a personal assistant agent? β score 22
Sources: reddit/r/AIAgents
Hi all, Iβm looking for advice on what platform would be the best to build a personal assistant agent on. Somewhere I can brain dump on all the time, keep it up to date with what me and my agency is working on and use as a master brain to then feed other agents in the future. Any advice is welcome.
Omitted 2 additional developer tools items from the main section; see raw data and source-specific sections below.
Business & Funding
π’ What startup metrics mattered most during your fundraising process? β score 39
Sources: reddit/r/AIAgents
Investors often mention growth, retention, revenue, and market opportunity, but every startup seems different. For founders who recently raised capital, which metrics generated the most investor interest and questions during meetings?
π’ Time Series Forecasting for Agriculture/Crop Volume & Pricing β Looking for Advice [D] β score 19
Sources: reddit/r/MachineLearning
Hi everyone, I work for a major berry company, and a large part of my role involves forecasting total industry crop volumes (weekly harvest/production forecasts) as well as future pricing. I'm relatively new to ML-based forecasting. This is only my second professional role, and I have a bachelor's d
π’ What is the best 7b-12b coding model in 2026? β score 4
Sources: reddit/r/LocalLLaMA
Any practical advice, what are you guys using due to budget constraint, I cannot use 32 billion 27billion coding models.
Other Signals
π’ The Gemini fake context alignment attack and why agents need a preview gate β score 22
Sources: reddit/r/AIAgents
A security disclosure last week showed that Gemini can be hijacked through a WhatsApp notification containing hidden multilingual instructions. The user received what looked like a regular WhatsApp notification. The text looked harmless. But the message included hidden multilingual instructions that
π’ Anyone gotten Gemma 4 12B (unified audio) to actually attend to speech with a large system prompt? β score 21
Sources: reddit/r/LocalLLaMA
I'm trying to use Gemma 4 12B β the new encoder-free unified model (audio/vision/text in one) β for a one-pass audio β response voice assistant: feed the recorded WAV + system prompt and get the reply back as text directly, collapsing the separate ASR + LLM steps into a single model (TTS sti
π’ AI Epistemic Risks: Emerging Mechanisms & Evidence [R] β score 20
Sources: reddit/r/MachineLearning
How will AI affect our ability to think and judge for ourselves? Our new paper co-authored by 30 experts explores epistemic risksβthe threats AI poses to our collective capacity to form beliefs accurately, reason well, and maintain a healthy information environment. We look at how AI can lea
π’ How do I start reviewing research papers in good conferences/journals? [R] β score 19
Sources: reddit/r/MachineLearning
I just finished my bachelors degree with 2 first-author papers in A-tier venues. I'm planning to start my PhD next year. I want to start reviewing papers (from my domain: OOD detection and Open-set problems) at similar venues. How do I get started? Most advice online just says to keep my open-review
π’ Rich Sutton on AI creativity and discovery β score 19
Sources: hackernews
Omitted 2 additional other signals items from the main section; see raw data and source-specific sections below.
π Trending Repos
| Repo | Description | Stars Today | Language |
|---|---|---|---|
| NVIDIA/SkillSpector | Security scanner for AI agent skills. Detect vulnerabilities, malicious patterns, and security risks. | 280 | python |
| maziyarpanahi/openmed | open-source healthcare ai | 191 | python |
| Ataraxy-Labs/sem | Semantic version control => entity-level diffs, blame, and impact analysis on top of git. 26 languages via tree-sitter. Built for coding agents. | 110 | rust |
| chroma-core/chroma | Search infrastructure for AI | 48 | rust |
| anthropics/claude-code-security-review | An AI-powered security review GitHub Action using Claude to analyze code changes for security vulnerabilities. | 36 | python |
| luongnv89/asm | The universal skill manager for AI coding agents. | 24 | typescript |
| cube-js/cube | π Cube Core is open-source semantic layer for AI, BI and embedded analytics | 9 | rust |
| wonderwhy-er/DesktopCommanderMCP | This is MCP server for Claude that gives it terminal control, file system search and diff file editing capabilities | 5 | typescript |
π New Papers
| Title | Category | Hotness | Link |
|---|---|---|---|
| Kwai Keye-VL-2.0 Technical Report | research_paper | 128 | Open |
| Role-Agent: Bootstrapping LLM Agents via Dual-Role Evolution | research_paper | 75 | Open |
| Interpreting and Steering a Text-to-Speech Language Model with Sparse Autoencoders | research_paper | 8 | Open |
| UniPET: a universal network for high-quality PET image denoising across varied dose reduction factors | research_paper | 5 | Open |
| U-TTT: Towards Generalizable PET Image Denoising via Test-Time Training | research_paper | 5 | Open |
| Business World Model | cs.AI | 0 | Open |
| Deployment-Time Memorization in Foundation-Model Agents | cs.AI | 0 | Open |
| Exploratory Responsiveness and Adaptive Rigidity under AI-Assisted Optimization | cs.AI | 0 | Open |
| Predictive Assistance and the Temporal Dynamics of Exploratory Compression | cs.AI | 0 | Open |
| From Senses to Decisions: The Information Flow of Auditory and Visual Perception in Multimodal LLMs | cs.AI | 0 | Open |
| Less Context, Better Agents: Efficient Context Engineering for Long-Horizon Tool-Using LLM Agents | cs.AI | 0 | Open |
| Minimalist Genetic Programming | cs.AI | 0 | Open |
| Regimes: An Auditable, Held-Out-Gated Improvement Loop Demonstrated on LongMemEval with ActiveGraph | cs.AI | 0 | Open |
| RealMath-Eval: Why SOTA Judges Struggle with Real Human Reasoning | cs.AI | 0 | Open |
| Supervised Fine-tuning with Synthetic Rationale Data Hurts Real-World Disease Prediction | cs.AI | 0 | Open |
π’ Lab Blog Posts
- OpenAI: From data to decisions: how LSEG is scaling trusted AI
- OpenAI: How engineers at Nextdoor use Codex to build without limits
- DeepMind: Fluid, natural voice translation with Gemini 3.5 Live Translate
- DeepMind: Powering the future of robotics in Europe
π¦ Twitter/X Highlights
| Account | Tweet Summary |
|---|---|
| GoogleDeepMind | Pinned: Say hello, hola, δ½ ε₯½ to Gemini 3.5 Live Translate: our latest audio model built for fast, cross-language communication. π Post |
| xai | Learn more about our work with @gopuff to build a personalized shopping assistant with chat, voice, and image models https://x.ai/news/grok-gopuff Post |
| karpathy | This is a super exciting release - Claude Fable 5 is the same underlying model as Mythos but with added safeguards. The benchmarks are great and it's SOTA on everything by a margin but I'll add that qualitatively also, this is a major-version-bump-deserving step change forward (imo of the same ord Post |
| swyx | Mythos is live! so excited to have our FrontierCode recognized as the next frontier coding bench. on FC Diamond, BOTH Opus 4.8 and GPT 5.5 don't meaningfully scale with effort, which many of you caught yesterday. Mythos/Fable posttraining have really applied that test time compute toward solving ver Post |
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