WeWorkBuddy

Named entitymodelInsufficient data

Gemini 3.8 Flash

Name variants Gemini 3.8 flash

Omni models answer questions about videos by jointly processing sampled frames and audio in one turn, with progress driven largely by scaling model size and omni training data. We ask whether a model needs to hear the audio directly at all, and present SleuthVLM, an agent harness built on a VLM that never hears the audio directly: speech will be transcribed

This explanation quotes or summarizes the cited source record. Saving creates a bookmark on this device, with no automatic account sync.

First observed in our collection
Nov 1, 2026, 12:00 PM UTC
Earliest cited publication
Nov 1, 2026, 10:10 AM UTC
Last observed
Nov 5, 2026, 3:41 PM UTC

Evidence in the last complete seven days

Source mentions
2
Previous seven days 0
Distinct sources
2
Previous 0
Comparable growth
Not comparable
Ranking appearances
0

Collection observations and undated records are separate from dated publication counts. Observed in 7d:1 · Undated records:1

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

Observed source coverage by seven-day window
SourceCurrent daysPrevious daysLast success
arXiv63Nov 5, 2026, 10:00 AM UTC
arXiv72Nov 5, 2026, 10:01 AM UTC
Ask HN73Nov 5, 2026, 3:00 PM UTC
Ask HN73Nov 5, 2026, 2:30 PM UTC
Ask HN73Nov 5, 2026, 3:00 PM UTC
Ask HN73Nov 5, 2026, 3:00 PM UTC
GitHub73Nov 5, 2026, 12:15 PM UTC
GitHub Issues73Nov 5, 2026, 10:01 AM UTC
GitHub Releases71Nov 5, 2026, 12:00 PM UTC
GitHub73Nov 5, 2026, 2:30 PM UTC
GitHub Issues73Nov 5, 2026, 10:01 AM UTC
GitHub Releases73Nov 5, 2026, 3:14 PM UTC
GitHub73Nov 5, 2026, 2:30 PM UTC
GitHub Issues73Nov 5, 2026, 10:01 AM UTC
GitHub Releases73Nov 5, 2026, 3:14 PM UTC
GitHub Discovery00Nov 5, 2026, 3:13 PM UTC
GitHub Trending73Nov 5, 2026, 3:14 PM UTC
Google72Nov 5, 2026, 10:00 AM UTC
Hugging Face72Nov 5, 2026, 8:15 AM UTC
Hugging Face Spaces00Nov 5, 2026, 3:13 PM UTC
Hacker News73Nov 5, 2026, 12:45 PM UTC
Hacker News73Nov 5, 2026, 3:30 PM UTC
Hacker News73Nov 5, 2026, 3:30 PM UTC
Hacker News00Nov 5, 2026, 3:13 PM UTC
Show HN00Nov 5, 2026, 3:13 PM UTC
MIT News72Nov 5, 2026, 10:01 AM UTC
OpenAI73Nov 5, 2026, 11:30 AM UTC
Product Hunt73Nov 5, 2026, 12:45 PM UTC
量子位73Nov 4, 2026, 10:15 AM UTC
OpenRouter00Nov 5, 2026, 3:41 PM UTC
Hugging Face Models00Nov 5, 2026, 3:41 PM UTC
HF Daily Papers00Nov 5, 2026, 3:41 PM UTC
OpenRouter00Nov 5, 2026, 3:41 PM UTC
SEC EDGAR73Nov 5, 2026, 10:30 AM UTC
Sequoia Capital72Nov 5, 2026, 10:00 AM UTC
Simon Willison00Nov 5, 2026, 3:13 PM UTC
TechCrunch73Nov 5, 2026, 2:30 PM UTC
Contracts Finder73Nov 5, 2026, 10:00 AM UTC
V2EX73Nov 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.

Daily history · up to 90 days

Bars show dated source mentions. The latest UTC day may be incomplete. Zero mentions and missing collection coverage are different conditions.

2026-10-222026-11-05
View accessible daily data
Daily source mentions and collection observations
UTC dateMentionsSourcesObservationsRanking appearances
2026-10-220000
2026-10-230000
2026-10-240000
2026-10-250000
2026-10-260000
2026-10-270000
2026-10-280000
2026-10-290000
2026-10-300000
2026-10-310000
2026-11-011110
2026-11-020000
2026-11-030000
2026-11-041100
2026-11-050022
Source cover image: Gemini 3.8 Flash (High)
Source cover image · openrouter.ai

Source evidence

Sources in the evidence shown:OpenRouter 1 · HF Daily Papers 1 · V2EX 1

  1. OpenRouter · Published Not supplied

    Gemini 3.8 Flash (High)

  2. HF Daily Papers · Published Nov 4, 2026

    SleuthVLM: Do We Really Need Audio-in-Video for Omni Video Understanding?

    Omni models answer questions about videos by jointly processing sampled frames and audio in one turn, with progress driven largely by scaling model size and omni training data. We ask whether a model needs to hear the audio directly at all, and present SleuthVLM, an agent harness built on a VLM that never hears the audio directly: speech will be transcribed

  3. V2EX · Published Nov 1, 2026

    [分享创造] 备考 TCF 期间做了个啥都有的 Anki 法语卡组

    虽然标题是 TCF,其实学法语都通用 半年前开始学法语,备考 TCF,一开始用的是 AnkiWeb 上随便找的一个 5000 words 卡组,用了几个月发现不少问题,而且用英语释义学法语经常理解出偏差。一直没找到好用的中文法语卡组,就索性自己做了一个 这种基础学习资源本应该公开出来大家一起维护,尤其是日语已经有很好的例子例子,好在现在有了 AI,这件事变得没那么难了 Github 卡组内容 6900+ 常用词,按 A1–C1 分成五个子卡组 中文释义,仅保留常用义项 每个词 1–2 句例句,及中文翻译 单词+例句发音,多轮全库校对 动词变位 词汇 合并三个来源:Wiktionary 的 OpenSubtitles 法语词频表(词形归并成原形后取前 5000 )、CLE 教材 A1–B2 词汇、FLELex 分

    View source record →

Review priority 51 / 100

This score orders research candidates. It is not search volume, a forecast or verified commercial demand.

  • Evidence

    12.7 / 30

    Distinct dated articles or first observations; repeat crawling adds nothing.

  • Publisher diversity

    16 / 25

    Conservative owner grouping; syndicated copies count once.

  • Comparable change

    0 / 20

    Comparable complete weeks only; no percentage from a zero baseline.

  • Recent evidence

    15 / 15

    Latest publication or first observation, not repeated fetch time.

  • Name specificity

    7.2 / 10

    Explicit entities and technical concepts outrank ambiguous acronyms.

Limitations and interpretation

  • First observation is a collection milestone, not proof that a word or product is new to the world.
  • Counts describe monitored public sources, not the whole web or search demand.
  • First observed here is not the invention date of a name or idea.
  • Candidates come from public titles, summaries and entity URLs, not verified full-text analysis.
  • Owner grouping is conservative; undisclosed syndication may remain.
  • Repeat ranking appearances are observations, not new articles or independent endorsements.
  • Undated observations cannot establish publication growth.
  • Both weeks need adequate, comparable collection coverage.
  • Sources behind this term changed or lack a comparable baseline.
  • The previous week is too small for a reliable percentage change.

← Back to New Term Radar