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.
Need advice on hardware purchasing decision: RTX 5090 vs. M5 Max 128GB for agentic software development
Choosing between Nvidia and Apple for local AI coding: RTX 5090 wins on raw speed for fast iterations, while M5 Max wins on memory capacity for massive codebases.
This discussion evaluates the trade-offs between the RTX 5090 and M5 Max (128GB) for local agentic software development using models like Qwen 3.6 27B. The RTX 5090 provides approximately 3x faster token generation, which is vital for rapid code iteration, but its 32GB VRAM limits context windows and quantization levels (Q4/Q5). Conversely, the M5 Max's 128GB of unified memory supports massive context and higher precision models, though at significantly lower speeds. The author considers a multi-agent setup where a high-level orchestrator manages faster sub-agents for codebase exploration. Technical factors like Multi-Token Prediction (MTP) and MLX optimizations are highlighted as potential game-changers for Apple Silicon's usability in agentic workflows.
r/LocalLLaMA·tooling·05/07/2026, 12:34 AM·/u/BawbbySmithQwen3.6 27B NVFP4 + MTP on a single RTX 5090: 200k context working in vLLM
You can now run Qwen3.6 27B with a massive 200k context window on a single RTX 5090 using NVFP4 quantization and vLLM.
A user successfully ran Qwen3.6 27B on a single RTX 5090 with 32GB VRAM, achieving a stable 200k context window. The setup utilizes NVFP4 quantization via the compressed-tensors library and vLLM's MTP (Multi-Token Prediction) for speculative decoding. Benchmarks show generation speeds between 65-75 tokens/second at 200k context, with TTFT (Time To First Token) dropping significantly when using prefix caching. This configuration demonstrates the potential of Blackwell's FP4 support for handling large-scale local inference. The author provides exact vLLM parameters and stability data for others to replicate the results on consumer hardware.
r/LocalLLaMA·tooling·05/06/2026, 02:05 PM·/u/Maheidem
My LTX 2.3 LoRA Training Journey: Fighting for VRAM even with a 5090
Training LTX 2.3 LoRAs on 32GB VRAM is viable by disabling audio modules and using official scripts, with results generalizing well to high-res video.
A detailed technical report on training a LoRA for the LTX 2.3 video model using an RTX 5090. The author highlights that AI-Toolkit proved unstable, leading them to use official training scripts refined with the help of Claude. To fit the training within 32GB of VRAM, it was mandatory to disable the audio module and limit resolution to 512x512 at 49 frames. Performance metrics showed 0.58 steps per second, with 1500 steps completed in 40 minutes. The resulting LoRA successfully captured specific 2D animation motion patterns and generalized well to higher resolutions and 121-frame sequences during inference.
r/StableDiffusion·tutorial·05/05/2026, 10:22 AM·/u/ovpresentme
Relevance auto-scored by LLM (0–10). List shows top 30 from the last 7 days.