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.
ParoQuant: Pairwise Rotation Quantization for Efficient Reasoning LLM Inference
ParoQuant is a new quantization method that preserves the reasoning and logic capabilities of LLMs at low bitrates better than standard techniques.
ParoQuant introduces Pairwise Rotation Quantization, a novel technique designed to minimize information loss during the compression of reasoning-heavy LLMs. Unlike standard quantization methods that often degrade complex logic chains, ParoQuant uses a pairwise approach to handle outlier weights more effectively. The release includes a dedicated GitHub repository and pre-quantized models on HuggingFace for immediate testing. This is particularly significant for users running large reasoning models on consumer hardware where VRAM is limited. Initial benchmarks suggest superior performance in maintaining Chain of Thought (CoT) coherence compared to traditional 4-bit methods.
r/LocalLLaMA·tooling·05/07/2026, 02:07 AM·/u/Total-Resort-3120Has 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/appakaradillm-echo 0.5a0
Test how your applications handle model 'thinking' blocks for free using the new simulated reasoning feature in the llm-echo plugin.
Simon Willison has released version 0.5a0 of llm-echo, a utility plugin for his LLM CLI tool designed for automated testing. The plugin provides a 'fake' model that echoes inputs instead of calling an actual API, saving costs during development. This update introduces a new '-o thinking 1' option, which simulates the reasoning blocks produced by modern models like DeepSeek-R1 or OpenAI's o1. By outputting a fake reasoning block to standard error, it allows developers to verify that their parsers and workflows correctly handle multi-stage model outputs without incurring any API fees.
Simon Willison's Weblog·tooling·05/05/2026, 01:31 AM
Relevance auto-scored by LLM (0–10). List shows top 30 from the last 7 days.