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New Term Radar
Discover names and concepts appearing in public sources, with dated evidence, source coverage and comparable growth.
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Collection coverage · Limited historyCurrent / previous observed days 7 / 3
Counts use complete UTC days. First observed means first seen by this collection, not when a term was coined.
Current window：2026-10-29 → 2026-11-05 (end excluded) · History 11 days
| Source | Current days | Previous days | Last success |
|---|---|---|---|
| arXiv | 6 | 3 | Nov 5, 2026, 10:00 AM UTC |
| arXiv | 7 | 2 | Nov 5, 2026, 10:01 AM UTC |
| Ask HN | 7 | 3 | Nov 5, 2026, 4:03 PM UTC |
| Ask HN | 7 | 3 | Nov 5, 2026, 4:03 PM UTC |
| Ask HN | 7 | 3 | Nov 5, 2026, 4:03 PM UTC |
| Ask HN | 7 | 3 | Nov 5, 2026, 4:03 PM UTC |
| GitHub | 7 | 3 | Nov 5, 2026, 12:15 PM UTC |
| GitHub Issues | 7 | 3 | Nov 5, 2026, 4:00 PM UTC |
| GitHub Releases | 7 | 1 | Nov 5, 2026, 12:00 PM UTC |
| GitHub | 7 | 3 | Nov 5, 2026, 2:30 PM UTC |
| GitHub Issues | 7 | 3 | Nov 5, 2026, 4:15 PM UTC |
| GitHub Releases | 7 | 3 | Nov 5, 2026, 4:15 PM UTC |
| GitHub | 7 | 3 | Nov 5, 2026, 2:30 PM UTC |
| GitHub Issues | 7 | 3 | Nov 5, 2026, 4:45 PM UTC |
| GitHub Releases | 7 | 3 | Nov 5, 2026, 4:15 PM UTC |
| GitHub Discovery | 0 | 0 | Nov 5, 2026, 3:13 PM UTC |
| GitHub Trending | 7 | 3 | Nov 5, 2026, 3:14 PM UTC |
| 7 | 2 | Nov 5, 2026, 10:00 AM UTC | |
| Hugging Face | 7 | 2 | Nov 5, 2026, 8:15 AM UTC |
| Hugging Face Spaces | 0 | 0 | Nov 5, 2026, 3:13 PM UTC |
| Hacker News | 7 | 3 | Nov 5, 2026, 4:03 PM UTC |
| Hacker News | 7 | 3 | Nov 5, 2026, 4:03 PM UTC |
| Hacker News | 7 | 3 | Nov 5, 2026, 4:03 PM UTC |
| Hacker News | 0 | 0 | Nov 5, 2026, 3:13 PM UTC |
| Show HN | 0 | 0 | Nov 5, 2026, 3:13 PM UTC |
| MIT News | 7 | 2 | Nov 5, 2026, 4:15 PM UTC |
| OpenAI | 7 | 3 | Nov 5, 2026, 11:30 AM UTC |
| Product Hunt | 7 | 3 | Nov 5, 2026, 4:03 PM UTC |
| 量子位 | 7 | 3 | Nov 4, 2026, 10:15 AM UTC |
| OpenRouter | 0 | 0 | Nov 5, 2026, 5:15 PM UTC |
| Hugging Face Models | 0 | 0 | Nov 5, 2026, 5:15 PM UTC |
| HF Daily Papers | 0 | 0 | Nov 5, 2026, 5:15 PM UTC |
| OpenRouter | 0 | 0 | Nov 5, 2026, 5:15 PM UTC |
| SEC EDGAR | 7 | 3 | Nov 5, 2026, 10:30 AM UTC |
| Sequoia Capital | 7 | 2 | Nov 5, 2026, 10:00 AM UTC |
| Simon Willison | 0 | 0 | Nov 5, 2026, 3:13 PM UTC |
| TechCrunch | 7 | 3 | Nov 5, 2026, 4:03 PM UTC |
| Contracts Finder | 7 | 3 | Nov 5, 2026, 10:00 AM UTC |
| V2EX | 7 | 3 | Nov 5, 2026, 2:30 PM UTC |
- Counts describe monitored public sources, not the whole web or search demand.
- Both weeks need adequate, comparable collection coverage.
Seven-day figures use the complete UTC window above. Priority is a research triage score, not search volume, market size or a probability of success.
Deployed Yet
See if your Vercel, Cloudflare and GitHub deploys shipped
First observed Nov 4, 2026 · Product Hunt
- 7d mentions
- 1 previous 0
- 7d sources
- 1
- 7d growth
- Not comparable
- Priority
- 40 / 100
-
- 7d mentions
- 1 previous 0
- 7d sources
- 1
- 7d growth
- Not comparable
- Priority
- 40 / 100
-
- 7d mentions
- 1 previous 0
- 7d sources
- 1
- 7d growth
- Not comparable
- Priority
- 40 / 100
-
- 7d mentions
- 1 previous 0
- 7d sources
- 1
- 7d growth
- Not comparable
- Priority
- 40 / 100
-
- 7d mentions
- 0 previous 0
- 7d sources
- 0
- 7d growth
- Not comparable
- Priority
- 40 / 100
3351666087/scan-to-vector-skill
First observed Nov 4, 2026 · Hacker News
- 7d mentions
- 1 previous 0
- 7d sources
- 1
- 7d growth
- Not comparable
- Priority
- 40 / 100
DRAP
Continual learning in physical AI differs from conventional continual learning because small per-step policy errors can accumulate over a trajectory. Each deviation may move the agent outside the training distribution, increase subsequent prediction errors, and ultimately cause closed-loop task failure. This work introduces Dynamics-Risk Adaptive Plasticity
First observed Nov 5, 2026 · HF Daily Papers
- 7d mentions
- 1 previous 0
- 7d sources
- 1
- 7d growth
- Not comparable
- Priority
- 40 / 100
Datashake MCP
Plug review and social data straight into your AI assistant
First observed Nov 4, 2026 · Product Hunt
- 7d mentions
- 1 previous 0
- 7d sources
- 1
- 7d growth
- Not comparable
- Priority
- 40 / 100
github/spec-kit
💫 Toolkit to help you get started with SDD or any other process!
First observed Nov 4, 2026 · GitHub Trending
- 7d mentions
- 0 previous 0
- 7d sources
- 0
- 7d growth
- Not comparable
- Priority
- 40 / 100
TaoMate-HD
Streaming digital humans produce detailed video while continuing speech as new text arrives. High-resolution denoising is costly, and text updates can cause repeated or interrupted speech. We present TaoMate-HD, an autoregressive model for high-resolution audio-video streaming. For each short segment, or chunk, two denoising steps establish coarse video stru
First observed Nov 5, 2026 · HF Daily Papers
- 7d mentions
- 1 previous 0
- 7d sources
- 1
- 7d growth
- Not comparable
- Priority
- 40 / 100
SDPO
Self-distillation methods for large language models with an exponential moving average (EMA) teacher already retain a history of student updates. Muon nevertheless stores a separate momentum buffer, increasing persistent training memory. We propose Muon with Reused Teacher (Muon-RT), which reuses the teacher-student displacement to eliminate momentum buffers
First observed Nov 5, 2026 · HF Daily Papers
- 7d mentions
- 1 previous 0
- 7d sources
- 1
- 7d growth
- Not comparable
- Priority
- 40 / 100
-
- 7d mentions
- 0 previous 1
- 7d sources
- 0
- 7d growth
- Not comparable
- Priority
- 40 / 100
Fedora Linux 45
GNOME 51: Wayland fixes, oo7 keys, and modern toolchains.
First observed Nov 4, 2026 · Product Hunt
- 7d mentions
- 1 previous 0
- 7d sources
- 1
- 7d growth
- Not comparable
- Priority
- 40 / 100
-
- 7d mentions
- 1 previous 0
- 7d sources
- 1
- 7d growth
- Not comparable
- Priority
- 40 / 100
MOPD
Multi-teacher on-policy distillation (MOPD) extends on-policy distillation (OPD) to consolidate capabilities from multiple teachers. Although prior work reports near-perfect in-distribution (IND) distillation performance, we find that this can mask incomplete capability consolidation beyond the supervised distribution. A preliminary study on synthetic reason
First observed Nov 5, 2026 · HF Daily Papers
- 7d mentions
- 1 previous 0
- 7d sources
- 1
- 7d growth
- Not comparable
- Priority
- 40 / 100
MichaelCade/90DaysOfDevOps
This repository started out as a learning in public project for myself and has now become a structured learning map for many in the community. We have 3 years under our belt covering all things DevOps, including Principles, Processes, Tooli
First observed Nov 4, 2026 · GitHub Trending
- 7d mentions
- 0 previous 0
- 7d sources
- 0
- 7d growth
- Not comparable
- Priority
- 40 / 100
RCR
In-image machine translation (IIMT) replaces text in an image with its translation while preserving the surrounding visual context. Existing task-specific models achieve convincing performance but require massive paired training images before and after translation. As advanced text-to-image (T2I) models have reached a practically usable level of multilingual
First observed Nov 5, 2026 · HF Daily Papers
- 7d mentions
- 1 previous 0
- 7d sources
- 1
- 7d growth
- Not comparable
- Priority
- 40 / 100
Hashference
Fund 45+ top AI models using your idle CPU/GPU compute
First observed Nov 4, 2026 · Product Hunt
- 7d mentions
- 1 previous 0
- 7d sources
- 1
- 7d growth
- Not comparable
- Priority
- 40 / 100
Mellow Kids
Personalized sleep and development app for parents
First observed Nov 4, 2026 · Product Hunt
- 7d mentions
- 0 previous 1
- 7d sources
- 0
- 7d growth
- Not comparable
- Priority
- 40 / 100
Country Filter for X
Hide posts from chosen countries in your X For You feed
First observed Nov 4, 2026 · Product Hunt
- 7d mentions
- 1 previous 0
- 7d sources
- 1
- 7d growth
- Not comparable
- Priority
- 40 / 100
OpusClip 4.0
Turn raw footage into ready-to-publish videos with AI
First observed Nov 4, 2026 · Product Hunt
- 7d mentions
- 1 previous 0
- 7d sources
- 1
- 7d growth
- Not comparable
- Priority
- 40 / 100
OPSD
On-policy Self-distillation (OPSD) has proven effective for post-training large language models by constructing a teacher conditioned on privileged references. However, existing approaches keep the teacher fixed either throughout training by consistently exposing it to the full reference, or within each response by adaptively varying partial reference exposu
First observed Nov 5, 2026 · HF Daily Papers
- 7d mentions
- 1 previous 0
- 7d sources
- 1
- 7d growth
- Not comparable
- Priority
- 40 / 100
Freeport Markets
Our proprietary AI finds the top onchain wallets to copy
First observed Nov 4, 2026 · Product Hunt
- 7d mentions
- 1 previous 0
- 7d sources
- 1
- 7d growth
- Not comparable
- Priority
- 40 / 100
SFT
We introduce Dory1.0-4B, a 4-billion-parameter looped (latent-recurrent) language model with elastic depth: a single checkpoint serves different inference compute budgets. Dory1.0-4B is built on a normalized Transformer (nGPT) backbone with interleaved sliding-window and full-attention layers, organized into an input block, a shared recurrent block, and an o
First observed Oct 24, 2026 · HF Daily Papers / arXiv
- 7d mentions
- 1 previous 1
- 7d sources
- 1
- 7d growth
- Not comparable
- Priority
- 40 / 100
michaelmagan/OpenHuman
Hi HN, I'm a long-time Superhuman user, and a few weeks ago I cloned it as a native Mac app. It's keyboard-first, with split inboxes, reminders, and a built-in calendar. It's local-first, including the AI features that use local models shipped in macOS 27, with the option to use Claude/Codex subscriptions. It's extremely configurable, even down to the search
First observed Nov 4, 2026 · Hacker News
- 7d mentions
- 1 previous 0
- 7d sources
- 1
- 7d growth
- Not comparable
- Priority
- 40 / 100
-
- 7d mentions
- 1 previous 0
- 7d sources
- 1
- 7d growth
- Not comparable
- Priority
- 40 / 100
OOD
Multi-teacher on-policy distillation (MOPD) extends on-policy distillation (OPD) to consolidate capabilities from multiple teachers. Although prior work reports near-perfect in-distribution (IND) distillation performance, we find that this can mask incomplete capability consolidation beyond the supervised distribution. A preliminary study on synthetic reason
First observed Nov 5, 2026 · HF Daily Papers
- 7d mentions
- 1 previous 0
- 7d sources
- 1
- 7d growth
- Not comparable
- Priority
- 40 / 100
CIR
Composed Image Retrieval (CIR) aims to retrieve a target image given a reference image and a modification text. Although recent approaches leveraging Multimodal Large Language Models (MLLMs) have shown significant progress, we argue that the MLLM's compositional understanding remains underutilized. This stems from directly mapping composed queries into a ret
First observed Nov 5, 2026 · HF Daily Papers
- 7d mentions
- 1 previous 0
- 7d sources
- 1
- 7d growth
- Not comparable
- Priority
- 40 / 100
T2I
In-image machine translation (IIMT) replaces text in an image with its translation while preserving the surrounding visual context. Existing task-specific models achieve convincing performance but require massive paired training images before and after translation. As advanced text-to-image (T2I) models have reached a practically usable level of multilingual
First observed Nov 5, 2026 · HF Daily Papers
- 7d mentions
- 1 previous 0
- 7d sources
- 1
- 7d growth
- Not comparable
- Priority
- 40 / 100
TSAD
Adversarial diffusion distillation has conventionally relied on image features for discrimination. We revisit this choice for multimodal diffusion transformers (MMDiTs), whose text stream becomes image-dependent through joint attention. We introduce Text-Stream Adversarial Distillation (TSAD), which exploits intermediate text-token states as a new adversaria
First observed Nov 5, 2026 · HF Daily Papers
- 7d mentions
- 1 previous 0
- 7d sources
- 1
- 7d growth
- Not comparable
- Priority
- 40 / 100