AI Search banner
AI Search avatar
AI Search
@theaisearch
Subscribers681K
Views59.3M
Videos453
AI SearchPublished at February 8, 2026 at 11:24 AM46:49
Opus 4.6, GPT 5.3 Codex, StepFun, Qwen3 Coder, new deepfake AIs, new video tools: AI NEWS thumbnail

Opus 4.6, GPT 5.3 Codex, StepFun, Qwen3 Coder, new deepfake AIs, new video tools: AI NEWS

3 months agoLong-tail
opusgptcodexstepfunqwen3news
Published time
February 8, 2026 at 11:24 AM
Duration
46:49
Video type
Science & Technology
Channel region
Hong Kong SAR China
Publish Timing Insight
Not enough timing data
This channel still lacks enough historical upload timing data. Let the channel accumulate more snapshots before evaluating the best timing.
Monetization Insight
No clear monetization tags yet
Focus on view growth, engagement quality, and topic competition to judge monetization potential.
Action Suggestion
Watch for sustained growth
The basic conditions are already in place. Keep watching 7-day views and revenue before deciding whether this topic should become a series.
Views
75.9K
Likes
2.6K
Comments
328
Estimated Daily Revenue
-
Estimated Total Revenue
$50.07 - $292.09
RPM Range
$0.66 - $3.85
1D Views Gain
0
7D Views Gain
0
1D Likes Gain
0
7D Likes Gain
0
1D Comments Gain
0
7D Comments Gain
0
Velocity Score
0%
Topic Cluster
opus
Video Description
HUGE AI NEWS: StepFun 3.5, Qwen3 Coder Opus 4.6, GPT 5.3 Codex, StepFun, GLM OCR #ai #ainews #aitools #aivideo #agi Thanks to our sponsor Artlist. Try it today: https://artlist.io/artlist-70446?artlist_aid=AIsearch_3782&utm_source=affiliate_p&utm_medium=AIsearch_3782&utm_campaign=AIsearch_3782 Sources in order of mention: https://docs.z.ai/guides/vlm/glm-ocr https://interactavatar.github.io/ https://www.anthropic.com/news/claude-opus-4-6 https://openai.com/index/introducing-gpt-5-3-codex/ https://static.stepfun.com/blog/step-3.5-flash/ https://huggingface.co/openbmb/MiniCPM-o-4_5 https://zjp-shadow.github.io/works/SkinTokens/ https://huggingface.co/internlm/Intern-S1-Pro https://qwen.ai/blog?id=qwen3-coder-next https://husky-humanoid.github.io/ https://chenshuo20.github.io/Context_Forcing/ https://dwzhu-pku.github.io/PaperBanana/ https://kingofprank.github.io/fsvideo/ https://dvirsamuel.github.io/omnimattezero.github.io/ https://hjrphoebus.github.io/3DiMo/ https://sirui-xu.github.io/InterPrior/ https://edit-yourself.github.io/ 0:00 AI news intro 1:17 GLM OCR 3:30 Interactavatar 6:13 Claude Opus 4.6 9:34 GPT 5.3 Codex 12:39 StepFun 3.5 Flash 16:18 MiniCPM o4.5 20:00 Artlist 21:13 SkinTokens 22:25 Intern S1 Pro 24:20 Qwen3 Coder Next 27:59 Husky 29:38 Unitree winter challenge 30:27 Context Forcing 32:05 PaperBanana 34:34 FSVideo 35:51 Omnimatte Zero 38:00 3DiMo 39:56 InterPrior 41:35 FastsVMT 43:04 EditYourself Learn AI: https://ai-search.io/courses Newsletter: https://aisearch.substack.com/ Find AI tools & jobs: https://ai-search.io/ Support: https://ko-fi.com/aisearch Here's my equipment, in case you're wondering: Lenovo Thinkbook: https://amzn.to/4jWeKwH Dell Precision 5690: https://www.dell.com/en-us/dt/ai-technologies/index.htm?utm_source=AISearchTools&utm_medium=youtube&utm_campaign=precisionai#tab0=0 GPU: Nvidia RTX 5000 Ada https://nvda.ws/3zfqGqS Mic: Shure SM7B https://amzn.to/3DErjt1 Audio interface: Scarlett Solo https://amzn.to/3qELMeu
Related Topics
Continue with closely related videos to judge topic depth and content format.
Topic: opus
Not enough related-topic video data yet.
Video FAQs

These FAQs clarify what this video page measures, why revenue is estimated, and how to use the page for content research.

What can you learn from this video analytics page?

This page shows views, likes, comments, RPM and revenue estimates, publish timing, topic tags, related videos, and the broader channel context behind the video.

Why are RPM and revenue numbers estimates?

Actual earnings depend on monetized playbacks, audience geography, seasonality, advertiser demand, and monetization status. CloutOrbit provides directional estimates for benchmarking, not exact payouts.

How should you use this page for content research?

Compare timing, topic tags, monetization signals, and adjacent videos from the same channel to spot formats, themes, and publishing patterns worth testing.