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AI news today

Page 7 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.

vision-language modelautoregressive next-token predictionSource HF Daily Papers
PhysBrain 1.5: From Vision-Language Models to Physical Foundation Models

172 upvotes3 comments

vision-language model54 authorsno limits stated

What we saw

“PhysBrain 1.5 unifies physical environment understanding, action generation, and future state prediction via joint autoregressi…”

They claim — Across 28 embodied understanding benchmarks, our 8B model achieves an average score of 72.5, setting a new open-source state of the art and performing on par with leading proprietary mode…

Published 2026-09-13

Fetched 2026-09-15 23:01 UTC · 70061e1a1aeb68ea

Torn from — the abstract

Thread ↗
recursive self-improvementexploration strategiesSource HF Daily Papers
Dream-RSI: Recursive Self-Improvement through Evolving Worlds

278 upvotes3 comments

recursive self-improvement17 authorsstates limits

What we saw

“Dream-RSI enables scalable recursive self-improvement by using historical discovery replay to evaluate exploration policies off…”

Published 2026-09-13

Fetched 2026-09-15 23:01 UTC · 263aacf523ded915

Torn from — the abstract

Thread ↗
foundation agentic language modelVerifiable Experience PipelineSource HF Daily Papers
Atria Dawn: The Dawn of Agentic Superintelligence

424 upvotes3 comments

foundation agentic language model143 authorsno limits stated

What we saw

“Atria Dawn Preview is a foundation agentic language model trained through verified tool interactions that achieves strong bench…”

They claim — Across 16 benchmarks spanning real-world research, engineering, and digital work, Atria Dawn Preview is competitive with frontier agents and achieves the highest reported score on five of…

Published 2026-09-13

Fetched 2026-09-15 23:01 UTC · 21c391716120f827

Torn from — the abstract

Thread ↗
HTMLSource GitHub
yifanzhang-pro/recurrent-looped-tranformer

858 stars84 forks

Apache-2.0HTMLpushed 2d ago

Location, estimated · Not stated

What we saw

“Official Project Page for Recurrent Looped Transformer (RLT)”

They claim — Training length is 32 operations; evaluation extends to 128 operations (4× the training length), with 2,048 test programs per task and length.

Published 2026-09-12

Fetched 2026-09-15 23:01 UTC · 675776a9a37fe26a

What the account wrote — The account left it blank

Torn from — the README

Source HF Daily Papers
StepAudio 3 Realtime Technical Report

91 upvotes1 comments

90 authorsno limits stated

What we saw

“Realtime spoken interaction demands deep reasoning, prompt responses, and fluid turn-taking. We present StepAudio 3 Realtime, a…”

They claim — StepAudio 3 Realtime achieves top-tier performance across key dimensions: an exceptional 90.6 on the MMSU benchmark, 98.9 Overall on the Artificial Analysis Full-Duplex Bench, and a 56.0%…

Published 2026-09-11

Fetched 2026-09-16 23:01 UTC · c13c53fb82422478

Torn from — the abstract

Thread ↗
PythonaiSource GitHub
kruzovic7/ai-data-extractor

825 stars132 forks

MITPythonpushed 4d ago

Location, estimated · Not stated

What we saw

“Free open-source extractor for AI coding assistant chat histories. Supports Claude Code, Cursor, Windsurf, Aider, Cline/Roo Cod…”

Published 2026-09-11

Fetched 2026-09-15 23:01 UTC · 32cd43375b85b5e6

What the account wrote — The account left it blank

Torn from — the README

image-text-to-textggufSource Hugging Face
ukisai/Swift-Qwen3.8-27B-GGUF

179 likes55k downloads

otherbuilt on Swift-Qwen3.8-27b

What we saw

This source gives a title and a link, nothing to quote.

They claim — (<1% loss) and as a result getting a x1.95 speed-up on several tasks.

Published 2026-09-11

Fetched 2026-09-15 23:01 UTC · fae0d09608b75058

Torn from — the model card

comfyuiSource Hugging Face
Comfy-Org/YuE2

150 likes59k downloads

cc-by-nc-4.0built on SheetSage2

What we saw

This source gives a title and a link, nothing to quote.

Published 2026-09-11

Fetched 2026-09-15 23:01 UTC · 65418212282ccac7

Torn from — the model card

image-text-to-texttransformersSource Hugging Face
dealignai/DeepSeek-V4.1-Flash-UNCENSORED-FP8

229 likes6.8k downloads

mitbuilt on DeepSeek-V4.1-Flash

What we saw

This source gives a title and a link, nothing to quote.

They claim — The refusal circuitry is surgically removed while every capability-critical component (routed experts, Engram memory, CSA2 sparse attention, DSpark draft head, vision tower, router gates,…

Published 2026-09-10

Fetched 2026-09-13 23:03 UTC · aba564a993aae2f3

Torn from — the model card

vision-action shortcutslatent interface trainingSource HF Daily Papers
Breaking the Vision-Action Shortcut: Latent Interface Training for Generalizable Robotics Foundation Models

71 upvotes2 comments

vision-action shortcuts4 authorsno limits stated

What we saw

“LIT improves robot action generalization by first training pose-conditioned action priors without images, then constraining vis…”

They claim — Across four vision-language-action and world-action architectures (Pi0.5, MolmoAct2, FAST-WAM, and ImageWAM), LIT improves overall LIBERO-Plus success by 3.87-10.70 percentage points whil…

Published 2026-09-10

Fetched 2026-09-14 23:01 UTC · 3e83d75847ca11ec

Torn from — the abstract

Thread ↗
gated sliding-window attentionfull attentionSource HF Daily Papers
ZGCM-1: A Fully Open and Extremely Efficient Foundation Model for Math and Agentic Search

302 upvotes7 comments

gated sliding-window attention22 authorsstates limits

What we saw

“ZGCM-1 is a 7B open foundation model that combines internal reasoning with external tool use, trained via efficient architectur…”

They claim — On several challenging mathematical reasoning and agentic search suites, it remains competitive with frontier models orders of magnitude larger, such as Qwen3-235B-A22B and GLM-5.1.

Published 2026-09-10

Fetched 2026-09-15 23:01 UTC · fcb1e94d9a32e870

Torn from — the abstract

Thread ↗
image-text-to-textggufSource Hugging Face
DavidAU/Qwen3.8-27B-TWIN-TURBO-Fable-Cold-Fusion-709-L-Uncensored-NM-DAU-NEO-MTP-GGUF

143 likes114k downloads

apache-2.0built on Qwen3.8-27B-TWIN-TURBO-Fable-Cold-Fusion-709-L-Uncensored

What we saw

This source gives a title and a link, nothing to quote.

They claim — TWIN TURBO: Closed source level of intelligence with an arc-c at 709 (this is instruct "medium", reasoning is even higher), while using smaller quants too.

Published 2026-09-10

Fetched 2026-09-14 23:01 UTC · 68058414275bc9a3

Torn from — the model card

real-time video generationspatial video generationSource HF Daily Papers
Vidu S2: Real-Time Interactive, Editable, and Spatial Video Generation

695 upvotes2 comments

real-time video generation35 authorsno limits stated

What we saw

“Vidu S2 introduces real-time interactive avatar and video editing models that support high-resolution spatial video generation …”

They claim — Experiments show that Vidu S2 outperforms all baselines.

Published 2026-09-09

Fetched 2026-09-15 23:01 UTC · 5e45abe94152d970

Torn from — the abstract

Thread ↗
image-text-to-texttransformersSource Hugging Face
ukisai/Swift-Qwen3.8-27b

323 likes2.8k downloads

otherbuilt on Qwen3.8-27B

What we saw

This source gives a title and a link, nothing to quote.

They claim — (<1% loss) and as a result getting a x1.95 speed-up on several tasks.

Published 2026-09-08

Fetched 2026-09-14 23:01 UTC · b4d8039f21680101

Torn from — the model card

post-trainingsupervised fine-tuningSource HF Daily Papers
Feyospace-v1: How the Cyber Mercury Seven Trained Frontier Cyber Models

130 upvotes3 comments

post-training7 authorsno limits stated

What we saw

“A data-centric framework with specialized systems for reasoning analysis, cost reduction, and execution verification enables sm…”

They claim — The three checkpoints improve over their starting models by an average of 23.76% on the full CyberGym suite and 10.49% across the pooled CTF suites.

Published 2026-09-07

Fetched 2026-09-14 23:01 UTC · 4d29dafb2e864139

Torn from — the abstract

Thread ↗
PythonaiSource GitHub
crwdla/tokentab

1.1k stars215 forks

MITPythonpushed 6d ago

Location, estimated · Unrecognised

What we saw

“A CLI that reads Claude Code, Codex, and Gemini CLI session logs and works out how much they cost, by model, project, and day.”

They claim — Cache hit under ~80%, consistently - your context probably isn't stable between calls, or caching isn't switched on.

Published 2026-09-07

Fetched 2026-09-13 23:03 UTC · 285e008f28d1dc05

What the account wrote — Newcastle

Torn from — the README

catastrophic forgettingcontinual supervised fine-tuningSource HF Daily Papers
Continual Learning Mechanisms Compose for Long-Horizon Memorization

287 upvotes3 comments

catastrophic forgetting4 authorsno limits stated

What we saw

“Composing complementary continual learning mechanisms substantially improves long-horizon memorization in language models by co…”

They claim — Our best method combines all three anchors with merged LoRA, ranks among the top 3 methods in all datasets, and raises average final retention from 1.2% under naive sequential fine-tuning…

Published 2026-09-06

Fetched 2026-09-16 23:01 UTC · 299fad04b14317fa

Torn from — the abstract

Thread ↗
Pythonai-upscalingSource GitHub
perseval-BLR/NeuralScreen

823 stars45 forks

no licensePythonpushed today

Location, estimated · Not stated

What we saw

“DLSS 5 NR on your whole Windows desktop, in real time with Boost, FG, etc. RTX 30/40/50, 12 languages, user presets, recording …”

They claim — Windows 10 and multi-GPU systems are experimental — v1.12 fixes adapter/output selection from user logs, not local hardware.

Published 2026-09-06

Fetched 2026-09-15 23:01 UTC · b6fda159d2186867

What the account wrote — The account left it blank

Torn from — the README

PythonaiSource GitHub
jtydhr88/screenwriting-skills

1.2k stars134 forks

MITPythonpushed today

Location, estimated · Canada

What we saw

“Professional agent skills for screenwriting, television writing and dramaturgy”

Published 2026-09-06

Fetched 2026-09-15 23:01 UTC · 23ae32d1655cbeed

What the account wrote — Toronto, Canada

Torn from — the README

RLVRGRPOSource HF Daily Papers
DataFlex-RL: An Evaluation Platform for RLVR Data Policies

110 upvotes2 comments

RLVR5 authorsstates limits

What we saw

“DataFlex-RL evaluates reinforcement learning data policies and finds that uniform sampling matches or exceeds adaptive rollout …”

They claim — Uniform GRPO improves the domain-balanced average accuracy by 7.76 percentage points over the untrained checkpoint.

Published 2026-09-04

Fetched 2026-09-14 23:01 UTC · 8b008970febe99b9

Torn from — the abstract

Thread ↗
image-text-to-textsafetensorsSource Hugging Face
TaichuAI/ZDTaichu5.0-9B

151 likes213 downloads

no license

What we saw

This source gives a title and a link, nothing to quote.

They claim — Within the 10B-scale general-purpose VLMs compared in this release blog, ZDTaichu5.0-9B retains first-tier general visual understanding while supporting spatial reasoning, high-level embo…

Published 2026-09-04

Fetched 2026-09-15 23:01 UTC · 5179574dcefd9e42

Torn from — the model card

TypeScriptagentsSource GitHub
shadcn-ui/lint

1.7k stars25 forks

MITTypeScriptpushed yesterday

Location, estimated · Not stated

What we saw

“An agent-first linter for Tailwind design systems. Write design system rules that agents can verify.”

They claim — 10% to 48% less than with rules alone.

Published 2026-09-02

Fetched 2026-09-15 23:01 UTC · 2bae6979048769f9

What the account wrote — The account left it blank

Torn from — the README

RustSource GitHub
faisalkindi/DLSS5oneclick

769 stars55 forks

MITRustpushed today

Location, estimated · Not stated

What we saw

“One-click setup of the leaked DLSS 5 neural-rendering build for any DX11/DX12 game on RTX 20–50, with or without DLSS. ReShad…”

They claim — exe) - the game exe is detected automatically (the folder and two levels below it are searched, so bin\x64dx12\ and Unreal Binaries\Win64\ layouts work; Unity crash handlers, Unreal helpe…

Published 2026-08-31

Fetched 2026-09-13 23:03 UTC · 38bc58445c3c8fae

What the account wrote — The account left it blank

Torn from — the README

text-generationtransformersSource Hugging Face
meta-llama/Llama-3.1-8B-Instruct

7.7k likes5.9M downloads

llama3.1built on Llama-3.1-8B

What we saw

This source gives a title and a link, nothing to quote.

Published 2024-07-18

Fetched 2026-09-14 23:01 UTC · bad7065e70b23d0e

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

Source Simon Willison
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 Blog
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 AI
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

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.