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.
Never got good results from Klein? Me neither, til now
Stop using turbo LoRAs with Klein 9B; it achieves peak quality and speed with just 4 steps natively.
A user on r/comfyui discovered why many creators struggle to get high-quality results from the Klein 9B model. The issue stems from incorrectly applying turbo LoRAs or using too many sampling steps, which degrades the output. Klein 9B is designed to be natively fast and performs optimally with only 4 steps without any speed-up modifications. The post includes a downloadable ComfyUI workflow and clarifies licensing terms, stating that while outputs can be used commercially, the model itself requires a commercial license from Black Forest Labs for business use. This finding explains the polarizing reception of the model and provides a clear path to better prompt adherence and speed.
r/comfyui·tutorial·05/07/2026, 01:43 AM·/u/Support_MarmosetProtip if you want to squeeze most out of your VRAM if you have a CPU with iGPU
Free up hundreds of MBs of VRAM for your models by plugging your monitor into the motherboard and using your iGPU for the OS display.
This practical tip for local LLM enthusiasts explains how to maximize available VRAM on dedicated GPUs by offloading system tasks. By enabling the integrated GPU (iGPU) in the BIOS and connecting the display cable directly to the motherboard, the system uses the iGPU for GUI rendering instead of the primary graphics card. This simple hardware adjustment can reclaim several hundred megabytes of VRAM, which is often critical when trying to fit a specific model or a larger context window into memory. The method is especially effective for users on Windows or Linux distributions with a desktop environment. It offers a straightforward way to optimize hardware resources without needing complex software tweaks.
r/LocalLLaMA·tutorial·05/06/2026, 11:35 AM·/u/Th3Sim0n
Supercharging LLM inference on Google TPUs: Achieving 3X speedups with diffusion-style speculative decoding- Google Developers Blog
Google achieved a 3X speedup in LLM inference on TPUs by using a new 'diffusion-style' parallel token drafting technique.
Google researchers have introduced a novel approach to speculative decoding inspired by diffusion models, specifically optimized for TPU architectures. Traditional speculative decoding relies on a smaller draft model to predict tokens sequentially, but this new method generates multiple draft tokens in parallel, similar to how diffusion models refine images. This shift addresses the memory bandwidth bottlenecks common in LLM inference, resulting in up to 3X faster generation speeds. While the benchmarks focus on Google's proprietary hardware, the move toward non-autoregressive drafting represents a significant evolution in inference strategy. This technique could eventually influence local model optimization if adapted for consumer GPUs.
r/LocalLLaMA·news·05/05/2026, 03:50 PM·/u/eternviking
Relevance auto-scored by LLM (0–10). List shows top 30 from the last 7 days.