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 ↗Page 8 of 12
These are earlier cards, kept as text. Pictures and short summaries stay only while a card is on the first page; the link goes to the original either way.
Sep 8
“  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 ↗Sep 8
“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 ↗Sep 8
states limits2.0k words
“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)
Sep 8
no limits stated350 words
“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 ↗Sep 8
no limits stated2.2k words
“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)
1.0k points833 comments
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 ↗Sep 8
states limits2.7k words
“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)
Sep 8
no limits stated2.7k words
“Managed MLflow on Amazon SageMaker AI now syncs richer model metadata (training metrics, evaluation results, inference specs, a…”
They claim — In Part 2, we extend the same building blocks to cross-account governance topologies for larger and regulated organizations.
Published 2026-09-08
Fetched 2026-09-08 23:01 UTC · 698907095c767428
Torn from — the listing only (the original would not open)
Sep 8
“See how an MIT researcher uses GPT-5.6 Sol with Codex to autonomously run quantum computing experiments, analyze results, and c…”
Published 2026-09-08
Fetched 2026-09-08 23:01 UTC · 3436bbf0a4d0cef3
Torn from — the listing only (the original would not open)
Sep 8
states limits3.9k words
“Wire Amazon Bedrock AgentCore Evaluations into a GitHub Actions pipeline: deploy an AI agent and an OAuth-protected MCP server …”
Published 2026-09-08
Fetched 2026-09-08 23:01 UTC · 2f38597109a0e9d9
Torn from — the listing only (the original would not open)
Sep 8
no limits stated3.1k words
“Benchmark two 30B Mixture-of-Experts models, Qwen3-Coder-30B and NVIDIA Nemotron-3-Nano-30B, across G5, G6, G6e, and G7 GPU ins…”
They claim — The G5 and G6 configurations each use four GPUs with 96 GB of aggregate GPU memory, while G7 uses two GPUs with 64 GB.
Published 2026-09-08
Fetched 2026-09-08 23:01 UTC · 9e16169b26831c0c
Torn from — the listing only (the original would not open)
641 points216 comments
states limits368 words
This source gives a title and a link, nothing to quote.
Published 2026-09-08
Fetched 2026-09-08 16:21 UTC · 7158abc340b56557
Torn from — the page itself
Thread ↗799 points561 comments
no limits stated512 words
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 ↗705 points431 comments
no limits stated506 words
This source gives a title and a link, nothing to quote.
Published 2026-09-06
Fetched 2026-09-07 23:01 UTC · c28680ddc8bb90ed
Torn from — the page itself
Thread ↗652 likes2.9k downloads
apache-2.0
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
172 likes58k downloads
apache-2.0
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
1.1k stars180 forks
MITSwiftpushed today
Location, estimated · Not stated
“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
1.2k stars157 forks
MITPythonpushed yesterday
Location, estimated · Europe
“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
117 likes7.8k downloads
apache-2.0
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
17 upvotes2 comments
cs.AI9 authorsno limits stated
“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 ↗17 upvotes3 comments
math.OC6 authorsno limits stated
“Large language models (LLMs) are increasingly used to formulate optimization models from natural-language problem descriptions,…”
Published 2026-09-04
Fetched 2026-09-07 01:32 UTC · 1ba5a6f5e64b9cda
Torn from — the abstract
Thread ↗1.9k stars2.5k forks
AGPL-3.0Pythonpushed yesterday
Location, estimated · Elsewhere
“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
94 likes0 downloads
mitbuilt on Irodori-TTS-v4.1-Small
This source gives a title and a link, nothing to quote.
Published 2026-09-04
Fetched 2026-09-08 16:21 UTC · eb882273c411c5c7
Torn from — the model card
21 upvotes1 comments
compositional 3D representation12 authorsno limits stated
“Adapting a single-object 3D generative prior to multi-view observations enables scalable compositional mesh reconstruction of d…”
Published 2026-09-03
Fetched 2026-09-07 23:01 UTC · acfc206edb29736d
Torn from — the abstract
Thread ↗13 upvotes2 comments
topology-aware diffusion transformer7 authorsno limits stated
“UniMate is a unified diffusion transformer that generates articulated motion for arbitrary skeletons from text and rigged 3D as…”
They claim — UniMate introduces a topology-aware diffusion transformer, which integrates skeletal topology into attention via three mechanisms: (1) a graph-aware attention bias from pairwise joint rel…
Published 2026-09-03
Fetched 2026-09-07 23:01 UTC · f7aead1ac8cf4d5a
Torn from — the abstract
Thread ↗13 upvotes2 comments
reasoning operations6 authorsno limits stated
“Distinct reasoning operations in language models are geometrically separable in hidden representations, with structure emerging…”
Published 2026-09-03
Fetched 2026-09-07 23:01 UTC · 8fd8b68e8d2fd445
Torn from — the abstract
Thread ↗2.2k stars67 forks
Apache-2.0TypeScriptpushed today
Location, estimated · Not stated
“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
53 upvotes4 comments
search agents9 authorsno limits stated
“Two large-scale search agents are trained via a multi-stage pipeline combining supervised fine-tuning and reinforcement learnin…”
Published 2026-09-02
Fetched 2026-09-07 23:01 UTC · bf933da181c11d7a
Torn from — the abstract
Thread ↗29 upvotes3 comments
audio-video diffusion models7 authorsno limits stated
“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 ↗33 upvotes2 comments
text-promptable segmentation5 authorsstates limits
“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 ↗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.