AI pulse last 7 days
Daily AI pulse from YouTube, blogs, Reddit, HN. Ruthlessly filtered.
Sources (41)▶
- criticalAndrej Karpathy
Były dyrektor AI w Tesli, OpenAI cofounder. Każde video to gold.
- criticalAnthropic
Oficjalny kanał Anthropic. Każdy release Claude'a.
- criticalComfyUI Blog
Release log dla integracji ComfyUI — Luma Uni-1, GPT Image 2, ACE-Step music gen, Seedance. Pokrywa video+image+music+workflow.
- criticalOpenAI Blog
Oficjalny blog OpenAI. Wszystkie release.
- criticalSimon Willison's Weblog
Najlepszy 'thinker' AI. Codzienne posty, deep insights, niska hype rate.
- highAI Explained
Głęboka analiza papers i benchmarków, niska hype rate.
- highAI Jason
Praktyczne tutoriale Claude Code, MCP, workflow vibe codingu.
- highBen's Bites
Daily AI digest, creator-friendly tone. Codex, model releases, agentic AI.
- highCole Medin
Vibe coding + agentic workflows + Claude Code MCP integrations.
- highFal AI Blog
Fal hostuje większość nowych AI image/video modeli — ich blog to wczesne sygnały premier.
- highHN: 3D & Gaussian Splatting
HN signal dla 3D generative — Gaussian Splatting, NeRF, image-to-3D. Próg 20 bo niszowa kategoria (top historic 182pts).
- highHN: AI agents / MCP
HN posty o agentach, MCP, vibe codingu z min 100 pkt.
- highHN: Claude / Anthropic
HN posty z 'Claude' lub 'Anthropic' z min 100 pkt.
- highHugging Face Blog
Releases dla image, video, audio, 3D modeli. Część tech-heavy — Gemini relevance odfiltruje noise. Downgraded z critical: za duży volume na 'must-read' status.
- highIndyDevDan
Claude Code power user, prompty, hooki.
- highInterconnects (Nathan Lambert)
AI policy + research analysis. Niska hype rate, opinionated.
- highLatent Space
Podcast + blog Swyx — wywiady z founderami i deep dives engineeringowe.
- highMatt Wolfe
Comprehensive AI tools weekly digest. ~700K subs.
- highMatthew Berman
AI news, model release reviews, agent demos. Wysoki output.
- highr/aivideo
Community AI video — Sora, Veo, Runway, Kling, LTX. Co naprawdę zaskakuje twórców.
- highr/ClaudeAI
Społeczność Claude'a — power users, tipy, problemy.
- highr/LocalLLaMA
Open-source LLMs, lokalne uruchamianie, benchmarks bez hype.
- highr/StableDiffusion
Największa community open-source image gen (700k+ users). Premiery modeli, LoRA, ComfyUI workflows.
- highRiley Brown
Vibe coding, AI builder workflows, Cursor + Claude tutorials.
- highThe Decoder
Niemiecki AI news outlet po angielsku, dobre breaking news.
- highTheo - t3.gg
TypeScript + AI dev workflows. Hot takes, narrative-driven.
- highYannic Kilcher
Paper reviews i deep dives w research AI.
- lowAI Weirdness
Janelle Shane — playful AI experiments, image gen quirks. Niski volume, unikalna perspektywa.
- mediumbycloud
AI papers digestible — między 2MP a Yannic Kilcher.
- mediumCreative Bloq
Design industry — gdzie AI ingeruje w klasyczne dyscypliny graficzne.
- mediumFireship
100-sec format, often AI/LLM + tech news.
- mediumfxguide
VFX i film industry — coraz więcej AI w pipeline. Profesjonalna perspektywa.
- mediumGreg Isenberg
Solo founder vibe — buduje produkty z AI, podcasty z indie hackers.
- mediumr/ChatGPTCoding
Vibe coding tipy, IDE setupy, prompty. Mix wszystkich modeli.
- mediumr/comfyui
ComfyUI workflows — custom nodes, JSON workflows, optymalizacje.
- mediumr/midjourney
Midjourney community — premiery v7+, style references, prompt patterns.
- mediumr/runwayml
Runway-specific community — premiery features, prompt patterns, comparisons z konkurencją.
- mediumr/SunoAI
Suno music gen community — nowe wersje modelu, lyric prompting techniques. Audio AI ma slaby RSS ecosystem.
- mediumTina Huang
AI workflows for data science, practical applications.
- mediumTwo Minute Papers
Krótkie streszczenia papers AI, świetne dla szybkiego scan'a.
- mediumWes Roth
AI news z bardziej clickbaitowym tonem — filtr Gemini odsiewa hype.
feat: Add Mimo v2.5 model support by AesSedai · Pull Request #22493 · ggml-org/llama.cpp
A new, powerful multimodal AI model, Mimo v2.5, with a massive 1M token context window and MoE architecture, is now supported by `llama.cpp`, making it accessible for local experi…
The popular `llama.cpp` project, known for enabling local inference of large language models, has officially added support for the new Mimo v2.5 model through a recent pull request. This significant update allows hobbyists and creative non-developers to run a highly advanced, multimodal Mixture of Experts (MoE) model on their consumer hardware. Mimo v2.5 features a sparse MoE architecture with 310B total parameters (15B activated), an exceptional 1M token context length, and comprehensive multimodal capabilities spanning text, image, video, and audio, supported by dedicated 729M-param vision and 261M-param audio encoders. This integration democratizes access to cutting-edge AI, making powerful local experimentation more feasible.
r/LocalLLaMA·model_release·05/07/2026, 11:23 AM·/u/jacek2023Uploaded Unsloth Qwen3.6-35B-A3B UD XL models with MTP grafted, here are the results
MTP (Multi-Token Prediction) can significantly speed up local LLM inference, but its effectiveness varies greatly depending on the model architecture and hardware setup.
User /u/havenoammo released GGUF versions of the Qwen3.6-35B-A3B model featuring 'grafted' Multi-Token Prediction (MTP) layers. While MTP previously showed 2-2.5x speedups on dense models like the 27B variant, results for this MoE (Mixture of Experts) version are more modest, ranging from a 6% to 50% increase in tokens per second. The performance seems highly dependent on the specific GPU configuration and quantization level (Q4 vs Q8). The release includes the isolated MTP layers and conversion scripts on HuggingFace, allowing the community to experiment with speculative decoding. These preliminary results suggest that MoE architectures might not benefit as uniformly from MTP as dense models do in current llama.cpp implementations.
r/LocalLLaMA·tooling·05/06/2026, 09:51 PM·/u/havenoammoHas anyone tried Zyphra 1 - 8B MoE?
Zyphra released ZAYA1-8B, a reasoning MoE that uses less than 1B active parameters to deliver high-end math and logic performance on local hardware.
Zyphra has announced the release of ZAYA1-8B, a new Mixture of Experts (MoE) model focused on reasoning and intelligence density. Despite having 8 billion total parameters, it utilizes fewer than 1 billion active parameters during inference, making it exceptionally efficient for local deployment. The developers claim it outperforms much larger open-weight models in mathematics and logic benchmarks. Notably, the model was trained using AMD hardware and leverages test-time compute to narrow the gap with frontier models like DeepSeek-V3.2. This release highlights a trend toward hyper-efficient, specialized reasoning models that prioritize logic over raw parameter count.
r/LocalLLaMA·model_release·05/06/2026, 08:39 PM·/u/appakaradi
Relevance auto-scored by LLM (0–10). List shows top 30 from the last 7 days.