FlowBalanceon-policy self-improvementSource 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 ↗ 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
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
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
Open Information Extractionmulti-level hallucination detectionSource 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 ↗ 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
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 HF Daily Papers
Dr. 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 ↗ 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
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
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
spoken dialogue modelco-speech motionSource HF Daily Papers
Motion-Omni: End-to-End Joint Speech and Full-Body Motion for Spoken Dialogue38 upvotes2 comments
spoken dialogue model4 authorsno limits stated
What we saw
“Motion-Omni is an end-to-end framework that jointly generates spoken dialogue and full-body co-speech motion from shared hidden…”
They claim — We further release SwDA-500 and, to our knowledge, the first public evaluation protocol for stochastic open-ended full-body spoken dialogue, matching audio across motion systems while uni…
Published 2026-08-27
Fetched 2026-09-07 23:01 UTC · 1ae2e3cb2c0f6040
Torn from — the abstract
Thread ↗ Source Hugging Face Blog
Source OpenAI
Disrupting a new covert influence campaign from RussiaAug 25
What we saw
“OpenAI banned Russia-origin accounts using AI to promote a fake Israel-based think tank and a “sovereignty” index praising …”
Published 2026-08-25
Fetched 2026-08-25 10:14 UTC · 3fd3c5c15867e636
Torn from — the listing only (the original would not open)
Source Hacker News
Source Hacker News
Hot Chips 2026: CUDA Targets RISC-V – By Chester Lam86 points11 comments
no limits stated1.2k words
What we saw
This source gives a title and a link, nothing to quote.
They claim — So far, CUDA supports x86-64 and aarch64 CPUs.
Published 2026-08-24
Fetched 2026-08-25 10:14 UTC · 1468e392b3a4ad26
Torn from — the page itself
Thread ↗ Source Hacker News
Ox-Alpha Is GLM?80 points58 comments
no limits stated1.6k words
What we saw
This source gives a title and a link, nothing to quote.
Published 2026-08-24
Fetched 2026-08-25 10:14 UTC · 7bafb5585e5fdc43
Torn from — the page itself
Thread ↗ Source Hacker News
Coding expertise is going to collapse from AI reliance514 points503 comments
states limits2.7k words
What we saw
This source gives a title and a link, nothing to quote.
They claim — In UPenn's large-scale 2025 study Generative AI without guardrails can harm learning , they followed 1,000 students using an LLM to learn mathematics and found students used AI as a crutc…
Published 2026-08-24
Fetched 2026-08-25 10:14 UTC · fcff811fa0766276
Torn from — the page itself
Thread ↗ Source Hacker News
OpenAI: GPT 5.6 Sol price reduction (until at least Nov 21)324 points312 comments
no limits stated1.8k words
What we saw
This source gives a title and a link, nothing to quote.
They claim — Regional processing (data residency) endpoints are charged a 10% uplift for models released on or after March 5, 2026, that are eligible for data residency.
Published 2026-08-24
Fetched 2026-08-25 10:14 UTC · c16f8a4a7f592b00
Torn from — the page itself
Thread ↗ Source OpenAI
Advancing price-performance for developers with GPT‑5.6 in KiroAug 24
What we saw
“GPT‑5.6 is now available in Kiro, helping developers plan, build, review, and test software with better price-performance.”
Published 2026-08-24
Fetched 2026-08-25 10:14 UTC · da36a5582dc91b20
Torn from — the listing only (the original would not open)
Source Hacker News
We never use AI. For anything82 points96 comments
states limits1.1k words
What we saw
This source gives a title and a link, nothing to quote.
Published 2026-08-24
Fetched 2026-08-25 10:14 UTC · 9f29038901dbd4fe
Torn from — the page itself
Thread ↗ Source Hacker News
Anthropic Claude and API service outages76 points60 comments
no limits stated740 words
What we saw
This source gives a title and a link, nothing to quote.
Published 2026-08-24
Fetched 2026-08-25 10:14 UTC · 53824d0606f4435c
Torn from — the page itself
Thread ↗ Source Hacker News
Source Hacker News
Why is Anthropic's public writing style so unlike Claude's?74 points72 comments
states limits684 words
What we saw
This source gives a title and a link, nothing to quote.
They claim — Claude now writes 80% of Anthropic’s code , so why not for prose?
Published 2026-08-24
Fetched 2026-08-25 10:14 UTC · fe32c035db954bab
Torn from — the page itself
Thread ↗ Source Hacker News
I built a low-latency AI companion that plays Skyrim with me362 points71 comments
states limits2.7k words
What we saw
This source gives a title and a link, nothing to quote.
They claim — Through this whole AI-craze people have forgotten that we had intelligent systems that could process speech since the 1970s, and somewhat LLM-like behavior with chatbots like SmarterChild…
Published 2026-08-23
Fetched 2026-08-25 10:14 UTC · c313398ff63f2f74
Torn from — the page itself
Thread ↗ agentic coordination scalingenvironment scalingSource HF Daily Papers
Apodex 1.1: Scaling Agentic Intelligence for Complex Work147 upvotes1 comments
agentic coordination scaling71 authorsno limits stated
What we saw
“Apodex 1.1 improves sustained, verifiable progress on complex real-world tasks by scaling executable environments and training …”
They claim — Across complex professional work, finance, scientific research, mathematics, coding, and search, Apodex 1.1 reaches the leading performance band despite using a substantially smaller mode…
Published 2026-08-23
Fetched 2026-08-25 10:14 UTC · 9a7393307ddcffe8
Torn from — the abstract
Thread ↗ tool-callingmobile planning agentsSource HF Daily Papers
omnimodal world modelenterable generative mediaSource HF Daily Papers
EchoWM: Open and Enterable Omnimodal World Models50 upvotes1 comments
omnimodal world model22 authorsno limits stated
What we saw
“EchoWM is an omnimodal world model that generates synchronized high-resolution video, sound, music, and speech while following …”
Published 2026-08-23
Fetched 2026-08-25 10:14 UTC · 13b94b4d054c5e64
Torn from — the abstract
Thread ↗ Zigai-agentsSource GitHub
duty1g/x64dbg-mcp-server1.3k stars129 forks
MITZigpushed yesterday
Location, estimated · Not stated
What we saw
“x64dbg-MCP Server is a native MCP (Model Context Protocol) plugin for x64dbg that exposes the debugger's full functionality ove…”
They claim — MCP-powered agentic reverse engineering for x64dbg.
Published 2026-08-22
Fetched 2026-08-25 10:14 UTC · c1e90fdc5334c245
What the account wrote — The account left it blank
Torn from — the README
Source Google DeepMind
What does “full-stack” AI actually mean?Aug 21
no limits stated197 words
What we saw
“A Google DeepMind engineer breaks full-stack development into five simple layers and explains how it affects everyday users.”
Published 2026-08-21
Fetched 2026-08-25 10:14 UTC · 52877114a19c0bfb
Torn from — the page itself
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.