What turned up in the last three days — collected by machine, published by hand.
What gets picked here ends up in Teardowns →
Collected 2026-09-08 23:01 UTC · 46 kept from 280
Picked so every source keeps a slot. Go into a category and that category is complete.
TypeScriptSource GitHub
Albert-Weasker/niubigeo2.2k stars67 forks
Apache-2.0TypeScriptpushed today
Location, estimated · Not stated
What we saw
“Open-source AI brand visibility and competitor reports”
Published 2026-09-03
Fetched 2026-09-07 01:32 UTC · 138e30df9c592905
What the account wrote — The account left it blank
Torn from — the README
PythonSource GitHub
Rion-Wu-tech/wechat-intelligence-hub1.9k stars2.5k forks
AGPL-3.0Pythonpushed yesterday
Location, estimated · Elsewhere
What we saw
“Local-first WeChat intelligence system with a read-only CLI, Codex skills, searchable chat history, daily briefings, follow-ups…”
Published 2026-09-04
Fetched 2026-09-06 23:01 UTC · 50d742bbbcd0f43f
What the account wrote — Canberra,Australia
Torn from — the README
SwiftSource GitHub
vinzdg/codenotch1.1k stars180 forks
MITSwiftpushed today
Location, estimated · Not stated
What we saw
“A macOS app that pins usage limits from Claude Code, Cursor, Codex, and Antigravity to a screen edge.”
Published 2026-09-05
Fetched 2026-09-06 23:01 UTC · 70a320489a90af6d
What the account wrote — The account left it blank
Torn from — the README
PythonaiSource GitHub
pierrenade/short-video-generator-AI1.2k stars157 forks
MITPythonpushed yesterday
Location, estimated · Europe
What we saw
“Free open-source project designed for turning youtube-viedos into viral short videos. Highlight detection, subtitles, translati…”
Published 2026-09-05
Fetched 2026-09-06 23:01 UTC · 06354c4b68f4ed99
What the account wrote — Paris
Torn from — the README
text-generationtransformersSource Hugging Face
openbmb/MiniCPM5-2B652 likes2.9k downloads
apache-2.0
What we saw
This source gives a title and a link, nothing to quote.
They claim — It is a dense 2B Transformer that scales up the same training recipe, built for on-device, local deployment, and resource-constrained scenarios, reaching 2B-class open-source SOTA.
Published 2026-09-06
Fetched 2026-09-07 23:01 UTC · 80cbd6d3b1d56d8d
Torn from — the model card
Pythonagent-infrastructureSource GitHub
Human-Agent-Society/reef774 stars48 forks
Apache-2.0Pythonpushed today
Location, estimated · Not stated
What we saw
“Continual learning infra for self-improving agents”
Published 2026-08-31
Fetched 2026-09-07 01:32 UTC · e535803553f886d7
What the account wrote — The account left it blank
Torn from — the README
Source Hacker NewsNew
Source HF Daily PapersDr. Claw: An AI Scientist Workspace for Vibe Research124 upvotes3 comments
13 authorsno limits stated
What we saw
“Command-line coding agents (e.g., Claude Code, Gemini CLI) can already read and write files and sustain long sessions, yet end-…”
Published 2026-08-30
Fetched 2026-09-07 23:01 UTC · 17101143ec4ae6bc
Torn from — the abstract
Thread ↗ text-generationsafetensorsSource Hugging Face
dealignai/GLM-5.3-CYBERSECURITY-FP8313 likes19k downloads
mitbuilt on GLM-5.3-FP8
What we saw
This source gives a title and a link, nothing to quote.
They claim — 131k context works on 8× H200 at max-num-seqs 24 (≈2.98× concurrency headroom).
Published 2026-08-30
Fetched 2026-09-06 23:01 UTC · 906a40b5c2f6096f
Torn from — the model card
Source Hacker NewsNew
Mistral raises €3B799 points561 comments
no limits stated512 words
What we saw
This source gives a title and a link, nothing to quote.
Published 2026-09-08
Fetched 2026-09-08 16:21 UTC · 9fd14f765f83adc7
Torn from — the page itself
Thread ↗ image-to-videominimax-h3Source Hugging Face
WarmBloodAban/Minimax-h3_Singularity172 likes58k downloads
apache-2.0
What we saw
This source gives a title and a link, nothing to quote.
They claim — 🛡️ Full Base Capability Retention: 100% preserves MiniMax-H3's original prompt adherence, style adaptability, and base multimodal generation strength.
Published 2026-09-05
Fetched 2026-09-06 23:01 UTC · 740cf7d9fea002ec
Torn from — the model card
Pythonai-upscalingSource GitHub
Merserk/dlss5-visual-enhancer655 stars54 forks
MITPythonpushed today
Location, estimated · Not stated
What we saw
“DLSS 5 Neural Video & Image Enhancer with Frame Interpolation”
They claim — Frame Interpolation: single-video and batch-video processing with NVIDIA DLSS Frame Generation, selectable output rates from 23.976 to 480 FPS, and a three-second preview for a single sel…
Published 2026-08-30
Fetched 2026-09-07 01:32 UTC · 58b954054e451478
What the account wrote — The account left it blank
Torn from — the README
automatic-speech-recognitiontransformersSource Hugging Face
microsoft/VibeVoice-ASR-Streaming-7B153 likes1.4k downloads
mit
What we saw
This source gives a title and a link, nothing to quote.
Published 2026-09-02
Fetched 2026-09-06 23:01 UTC · 52ccca433ca25fdf
Torn from — the model card
FlowBalanceon-policy self-improvement
Source HF Daily Papers FlowBalance: Verifier-Grounded Self-Improvement from On-Policy Reasoning Experience73 upvotes1 comments
FlowBalance4 authorsno limits stated
What we saw
“FlowBalance improves reasoning models via verifier-calibrated self-guidance using trajectory-level score reweighting and profil…”
They claim — On mathematical reasoning, FlowBalance improves average performance over FlowRL on both Qwen3-4B and Qwen3-8B, while also improving training speed and stability, avoiding direct OPSD's re…
Published 2026-09-02
Fetched 2026-09-08 16:21 UTC · 437efcb18b365a17
Torn from — the abstract
Thread ↗ cs.AI
Source arXiv Don't Drop Dropout: Optimizing Layer Sparsity for Efficient LLM Training and Inference17 upvotes2 comments
cs.AI9 authorsno limits stated
What we saw
“Layer dropout (a.k.a. stochastic depth) has been shown to enable faster training, higher accuracy, and robustness to zero-shot …”
They claim — For a given number of training steps, LLMs can achieve lower or similar validation loss while saving upto 25% of training FLOPs.
Published 2026-09-04
Fetched 2026-09-07 01:32 UTC · 60c554528e9aa388
Torn from — the abstract
Thread ↗ math.OCcs.AI
Source arXiv text-promptable segmentationSAM
Source HF Daily Papers ENEAS: Embedding-guided Neural Ensemble for Adaptive Segmentation33 upvotes2 comments
text-promptable segmentation5 authorsstates limits
What we saw
“ENEAS unifies text-prompted instance tracking and open-concept semantic discovery via temporal memory extension and a verificat…”
Published 2026-09-02
Fetched 2026-09-08 16:21 UTC · a5384a599ed5599b
Torn from — the abstract
Thread ↗ text-generationtransformersSource Hugging Face
openbmb/MiniCPM5-2B-GGUF117 likes7.8k downloads
apache-2.0
What we saw
This source gives a title and a link, nothing to quote.
They claim — It is a dense 2B Transformer that scales up the same training recipe, built for on-device, local deployment, and resource-constrained scenarios, reaching 2B-class open-source SOTA.
Published 2026-09-05
Fetched 2026-09-08 16:21 UTC · 8d445192f84dfbcc
Torn from — the model card
video-to-videodiffusersSource Hugging Face
Viggle/Viggle-Animate117 likes0 downloads
otherbuilt on MiniMax-H3
What we saw
This source gives a title and a link, nothing to quote.
They claim — One B200, 480×832, 124 frames at 24 fps, bf16, no compile, no offload.
Published 2026-08-31
Fetched 2026-09-07 23:01 UTC · 4eb05306a3d39be5
Torn from — the model card
text-generationtransformersSource Hugging Face
IFM/K2-Horizon-7B96 likes3.0k downloads
apache-2.0
What we saw
This source gives a title and a link, nothing to quote.
Published 2026-09-01
Fetched 2026-09-07 23:01 UTC · 07b1ce9c36dd2f9f
Torn from — the model card
Shellai-seoSource GitHub
Ryze-AI-Adgent/open-seo-mcp-skills660 stars11 forks
MITShellpushed today
Location, estimated · Not stated
What we saw
“Open-source SEO + GEO skills for Claude — keyword research, rank tracking, site audits, backlinks, competitor gaps, AI visibi…”
They claim — Look closer and most are a UI over the DataForSEO API: you either bring your own key and pay per request, or pay a hosted subscription plus a ~28% markup on every data call.
Published 2026-08-29
Fetched 2026-09-08 16:21 UTC · c7ee6c65bdba0676
What the account wrote — The account left it blank
Torn from — the README
Open Information Extractionmulti-level hallucination detection
Source HF Daily Papers Enoki: Efficient Multi-Level Hallucination Detection21 upvotes2 comments
Open Information Extraction8 authorsno limits stated
What we saw
“Enoki is an open information extraction framework that unifies claim-level verification and span-level hallucination localizati…”
Published 2026-08-31
Fetched 2026-09-07 23:01 UTC · ab91839c3bae8764
Torn from — the abstract
Thread ↗ audio-video diffusion modelscross-modal attention
Source HF Daily Papers The Attention Triangle in Audio-Video Models29 upvotes3 comments
audio-video diffusion models7 authorsno limits stated
What we saw
“Audio-video diffusion models exhibit bidirectional semantic leakage through cross-modal attention pathways, which can be diagno…”
Published 2026-09-02
Fetched 2026-09-07 23:01 UTC · 496e910644d364a4
Torn from — the abstract
Thread ↗ Source Simon WillisonNew
Introducing ChatGPT Images 2.5Sep 8
no limits stated155 words
What we saw
“Introducing ChatGPT Images 2.5 OpenAI's image generation models are apparently used "more than 3 billion images across ChatGPT …”
Published 2026-09-08
Fetched 2026-09-08 23:01 UTC · 816483cf8f30597f
Torn from — the listing only (the original would not open)
Source AWS ML BlogNew
Take on your most ambitious work with GPT-6 Astra on Amazon BedrockSep 8
no limits stated1.1k words
What we saw
“GPT-6 Astra from OpenAI is now generally available on Amazon Bedrock. It brings deeper reasoning and sharper judgment to your m…”
Published 2026-09-08
Fetched 2026-09-08 23:01 UTC · 61555b0baa6fc6fd
Torn from — the listing only (the original would not open)
Source TechCrunch AINew
Hackers are stealing Claude tokens from subscribersSep 8
no limits stated1.0k words
What we saw
“Last month, a Claude user noticed his account was consuming tokens even though he wasn't working. Anthropic has since warned us…”
They claim — On August 4, Grant De Swardt, an independent AI consultant in East Sussex, U.K., noticed something strange going on with his Claude Max 20x account.
Published 2026-09-08
Fetched 2026-09-08 23:01 UTC · 54678fe5fffcfda7
Torn from — the page itself
Source TechCrunch AINew
Source r/artificialNew
Artificial(2026)Sep 8
What we saw
“  submitted by   /u/Vladiesh [link]   [comments]”
Published 2026-09-08
Fetched 2026-09-08 23:01 UTC · 2df72f8170af51ca
Torn from — the listing only (the original would not open)
Thread ↗ Source r/artificialNew
Seems impressiveSep 8
What we saw
“I don't know much about math or CS - but this seems big.   submitted by   /u/stvlsn [link]   [comments]”
They claim — I don't know much about math or CS - but this seems big.
Published 2026-09-08
Fetched 2026-09-08 23:01 UTC · edfb754fd499c9a2
Torn from — the listing only (the original would not open)
Thread ↗ Source AWS ML BlogNew
Pathway’s brain-inspired architecture development on Amazon SageMaker HyperPodSep 8
states limits2.0k words
What we saw
“Pathway's Baby Dragon Hatchling (BDH) is a brain-inspired, post-transformer architecture that reasons in latent space instead o…”
They claim — A 150M-parameter model, built on Pathway’s BDH architecture, reasons recurrently in latent space, and sets a new state of the art in cost efficiency on ARC-AGI-1.
Published 2026-09-08
Fetched 2026-09-08 23:01 UTC · ac890dcdb67da5cf
Torn from — the listing only (the original would not open)
Source r/artificialNew
Source AWS ML BlogNew
Source Hacker NewsNew
On the Navier–Stokes Millennium Prize Problem1.0k points833 comments
What we saw
This source gives a title and a link, nothing to quote.
Published 2026-09-08
Fetched 2026-09-08 23:01 UTC · 8587bf7f4de429a9
Torn from — the listing only (the original would not open)
Thread ↗ Source AWS ML BlogNew
Govern models with MLflow and Amazon SageMaker AI Model Registry sync: Part 2Sep 8
states limits2.7k words
What we saw
“Governing models across accounts is the next step after automatic model registration. This post extends managed MLflow and Amaz…”
They claim — Topology 1: Hub-and-spoke central governance For larger organizations with multiple teams, it is common to have multiple separate development accounts with a central governance account.
Published 2026-09-08
Fetched 2026-09-08 23:01 UTC · 83d37ea8c0fb1187
Torn from — the listing only (the original would not open)
Source Hacker News
PythonSource GitHub
tigerless-labs/agent-memory612 stars35 forks
no licensePythonpushed today
Location, estimated · United States
What we saw
This source gives a title and a link, nothing to quote.
They claim — Requires Python 3.12 or higher and uv.
Published 2026-09-01
Fetched 2026-09-08 16:21 UTC · 4719c1df68611e38
What the account wrote — United States of America
Torn from — the README
Nothing on this page matches what you picked.
Papers, repos, models, blogs, Reddit and podcasts — once a day, by machine. Everything collected gets taken apart once — the README, the abstract, the model card — and what that turns up is kept for good, whether or not it becomes a card. Titles and links go to the original; nothing is reproduced here.
The grey line on each card is what the teardown found, not what the source advertises: the licence, the last commit, the model it was built on, whether the paper states its own limits. Open “What we saw” to check what was read to get it. Where it says listing only, the original could not be read — some sites refuse us, and we do not pretend otherwise.
A line in quotation marks is a sentence lifted from the source itself — their number, not a measurement of ours. We copy it and leave it unchecked; that is the point of quoting it.
Topics are assigned by matching words in the original title, quote and tags against a fixed list — no model reads the card. Some cards match nothing and carry no topic at all; pick a topic and those drop out. Source and topic narrow together.
Each card keeps the sentence we actually read at the moment we read it, plus a fingerprint of the response we received. That sentence — not the whole page — is what we can still stand behind if the original later changes or disappears.
Guessed from one free-text field the account filled in itself, and half of them leave it empty. Shown as its own value rather than hidden.