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Hacker News - Newest: "AI"

AI can't read an investor deck AI as an attorney? Student uses ChatGPT, Gemini to sue UW over alleged racial discrimination Hacking MCP Servers in AI Systems – The Rug Pull: Tool Changes After Approval GitHub - MeepCastana/KubeezCut: Free Web based video editor Can AI judge journalism? A Thiel-backed startup says yes, even if it risks chilling whistleblowers Coming soon: 10 Things That Matter in AI Right Now DARPA built an AI to fact-check enemy weapons claims What explains heterogeneity in AI adoption? When AI Meets Muscle: Context-Aware Electrical Stimulation Promises a New Way to Guide Human Movements - Department of Computer Science AI Changed How We Build. It Did Not Change What Matters. Linux rules on using AI-generated code - Copilot is OK, but humans must take 'full responsibility for the… Meta spins up AI version of Mark Zuckerberg to engage with employees Code Mode: Let Your AI Write Programs, Not Just Call Tools | TanStack Blog GitHub - Delavalom/graft: Go framework for building AI agents. Type-safe tools, multi-provider (OpenAI, Anthropic, Gemini, Bedrock), zero vendor SDKs. India's TCS tops estimates, says new AI models did not dent services demand Gen Z's fading AI hype Strong feeling: we are in a folded AI reality GitHub - machinarii/total-recall-catalog: A reference catalog of latest knowledge retrieval, memory & RAG systems GitHub - mensfeld/code-on-incus: Give each AI agent its own isolated machine with root, Docker, and systemd. Active defense detects and stops threats automatically.. Quantization, LoRA, and the 8% Problem: Benchmarking Local LLMs for Production AI Iran war: We spoke to the man making Lego-style AI videos that experts say are powerful propaganda Powell, Bessent discussed Anthropic's Mythos AI cyber threat with major U.S. banks GitHub - immartian/bellamem: Persistent belief-graph memory for AI agents. Retrieves decisive context by importance — not recency, not RAG, not /compact. recursive-mode: The Repo-Native Operating System for AI Engineering After the attack on Sam Altman's home, will AI CEO's go on the offensive? The biggest advance in AI since the LLM Opus 4.6 vs GPT 5.4 One Prompt Unity World Generation Test “AI polls” are fake polls Client Challenge Can AI be a 'child of God'? Inside Anthropic's meeting with Christian leaders
TikTok Shows 3x More AI Slop Than YouTube, Report Finds
Matt G. Southern · 2026-06-17 · via Hacker News - Newest: "AI"

About 59% of TikTok videos served to a new account’s For You feed are AI slop, according to a report from Kapwing, the video creation tool company. That’s roughly three times the rate Kapwing found on YouTube.

The company manually reviewed over 10,000 TikTok videos across 20 categories and ran a separate fresh-account test, counting AI-generated content in the first 500 For You videos.

How TikTok Compares To YouTube

Kapwing ran the same fresh-account test on YouTube and found that 104 of the first 500 Shorts, or 21%, were AI slop. On TikTok, 294 of 500 For You videos hit that threshold.

I covered Kapwing’s YouTube findings and the broader AI slop problem in March. YouTube CEO Neal Mohan had also named AI slop as a content quality issue the company was building detection systems for.

By November, TikTok had already labeled 1.3 billion videos as AI-generated, according to the report.

Kids Content Has The Highest Concentration

Of the 2,000 videos Kapwing reviewed in TikTok’s Kids category, 57% were AI slop. That was the highest rate of any category in the analysis.

The highest-rate tag was #cartoonkids, where 97 of 100 featured videos were AI-generated. Tags like #cartoons and #babysong both reached 83%, and #forkids came in at 79%.

Which Categories Are Most Affected

After Kids, the next highest AI slop rates were in Science and Education (35%), Health (33%), and History (33%). All three are categories where visual illustration and voiceover narration make up much of the content.

On the other end, categories where on-camera presence or physical demonstration are central had the lowest rates. Fashion came in at 1.3%, Music at 1.5%, and Fitness at 1.6%.

How Kapwing Collected The Data

The report’s methodology started with a list of 20 popular TikTok categories and at least three of the most popular tags for each. Kapwing’s team then manually checked the featured videos on each tag’s page, counting AI slop versus non-AI slop content and combining the results by category. That produced the category-level percentages from a pool of 10,742 videos.

For the new-user test, the team created a fresh TikTok account and scrolled through 500 For You videos, recording which ones were AI slop. The 59% figure comes from that single-account test.

The report defines AI slop as videos with obvious AI-generated visuals, along with low-quality compilations using clearly AI-generated scripts and voiceovers.

For transparency, Kapwing is a video editing and creation platform. The company has a commercial interest in measuring the gap between human-made and AI-generated content.

Why This Matters

Brands producing TikTok content are entering a feed where automated content may outweigh human-made videos for new users. For children’s content specifically, the concentration is higher.

TikTok added user controls for AI content, but data suggests that what new users see by default still leans heavily toward AI-generated videos.

Looking Ahead

Kapwing has now published AI slop reports for both YouTube and TikTok.

YouTube has responded to its slop problem with detection systems and monetization policy changes. TikTok has added user-facing controls. Whether those interventions are changing what new users actually see hasn’t been measured.


Featured Image: FotoField/Shutterstock