05

Just out

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/niubigeo

2.2k 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-hub

1.9k 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/codenotch

1.1k 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-AI

1.2k 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/MiniCPM5-2B

652 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/reef

774 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 HF Daily Papers
Dr. Claw: An AI Scientist Workspace for Vibe Research

124 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-FP8

313 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 €3B

799 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_Singularity

172 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-enhancer

655 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-7B

153 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-improvementSource HF Daily Papers
FlowBalance: Verifier-Grounded Self-Improvement from On-Policy Reasoning Experience

73 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.AISource arXiv
Don't Drop Dropout: Optimizing Layer Sparsity for Efficient LLM Training and Inference

17 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 ↗
text-promptable segmentationSAMSource HF Daily Papers
ENEAS: Embedding-guided Neural Ensemble for Adaptive Segmentation

33 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-GGUF

117 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-Animate

117 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-7B

96 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-skills

660 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 detectionSource HF Daily Papers
Enoki: Efficient Multi-Level Hallucination Detection

21 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 attentionSource HF Daily Papers
The Attention Triangle in Audio-Video Models

29 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 2.5

Sep 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 Bedrock

Sep 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 subscribers

Sep 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 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 impressive

Sep 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 HyperPod

Sep 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
[am i being paranoid?] If a rogue swarm wanted to "survive" in perpetuity, would it target Hugging Face with the intent of inject knowled…

Sep 8

no limits stated350 words

What we saw

“Disclosures: I work for an AI company (not OpenAI). am not an AI researcher but pretty technical. I vehemently dislike social m…”

They claim — AI systems will likely begin to act like an organism because it has learned through it's extensive training data how organisms behave (e.g. even if it never becomes "conscious&qu…

Published 2026-09-08

Fetched 2026-09-08 23:01 UTC · 3b099257f2b3c3da

Torn from — the listing only (the original would not open)

Thread ↗
Source AWS ML BlogNew
Amazon SageMaker Feature Store introduces UpdateRecord for feature-level writes

Sep 8

no limits stated2.2k words

What we saw

“Amazon SageMaker Feature Store now supports feature-level writes. With the new UpdateRecord API, you can update one or more fea…”

Published 2026-09-08

Fetched 2026-09-08 23:01 UTC · dfa6dc0f8a44644d

Torn from — the listing only (the original would not open)

Source Hacker NewsNew
On the Navier–Stokes Millennium Prize Problem

1.0k 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 2

Sep 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)

PythonSource GitHub
tigerless-labs/agent-memory

612 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

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.