If Big Tech cared about fighting AI slop, we wouldn’t be drowning in it | The Verge

If Big Tech cared about fighting AI slop, we wouldn’t be drowning in it | The Verge

The Verge - AI 13 min read Article

Summary

The Verge critiques Big Tech's inadequate efforts in combating AI-generated misinformation, highlighting the shortcomings of the C2PA system in ensuring content authenticity.

Why It Matters

As AI technology advances, the proliferation of deepfakes and misleading content poses significant risks to digital trust and content creation. Understanding the limitations of current solutions like C2PA is crucial for both consumers and creators in navigating this evolving landscape.

Key Takeaways

  • C2PA aims to authenticate media but is not effectively combating AI-generated misinformation.
  • Despite backing from major tech companies, the implementation of C2PA leaves users to manually verify content authenticity.
  • The rise of AI in content creation threatens the integrity of social media and the livelihood of creators.

AIReportTechIf Big Tech cared about fighting AI slop, it wouldn’t be drowning us in itIt’s harder to clean up a mess you’re still actively making.by Jess WeatherbedFeb 23, 2026, 4:00 PM UTCLinkShareGiftProgress towards reliable deepfake labelling tech is sluggish, despite all the “help” from AI providers. | Image: Cath Virginia / The Verge, Getty ImagesJess Weatherbed is a news writer focused on creative industries, computing, and internet culture. Jess started her career at TechRadar, covering news and hardware reviews.As 2025 drew to a close, Instagram head Adam Mosseri ended the year by doom-posting about AI. “Authenticity is becoming infinitely reproducible,” Mosseri lamented. “Everything that made creators matter — the ability to be real, to connect, to have a voice that couldn’t be faked — is now accessible to anyone with the right tools.” But people, Mosseri insisted, still wanted “content that feels real.” His proposed solution was finding a way to label real media. “Camera manufacturers will cryptographically sign images at capture, creating a chain of custody,” he said. The result would be a trustworthy system for determining what’s not AI.The good news is that Mosseri’s solution already exists: it’s called C2PA. The bad news is that Instagram is already using it, and it’s not doing shit to actually help. If anything, it’s starting to feel like a substitute for actual action, as Instagram goes full speed ahead on building generative AI tools.AI is getting extrem...

Related Articles

[2603.14267] DiFlowDubber: Discrete Flow Matching for Automated Video Dubbing via Cross-Modal Alignment and Synchronization
Machine Learning

[2603.14267] DiFlowDubber: Discrete Flow Matching for Automated Video Dubbing via Cross-Modal Alignment and Synchronization

Abstract page for arXiv paper 2603.14267: DiFlowDubber: Discrete Flow Matching for Automated Video Dubbing via Cross-Modal Alignment and ...

arXiv - AI · 4 min ·
[2601.22440] AI and My Values: User Perceptions of LLMs' Ability to Extract, Embody, and Explain Human Values from Casual Conversations
Llms

[2601.22440] AI and My Values: User Perceptions of LLMs' Ability to Extract, Embody, and Explain Human Values from Casual Conversations

Abstract page for arXiv paper 2601.22440: AI and My Values: User Perceptions of LLMs' Ability to Extract, Embody, and Explain Human Value...

arXiv - AI · 4 min ·
[2601.13622] CARPE: Context-Aware Image Representation Prioritization via Ensemble for Large Vision-Language Models
Llms

[2601.13622] CARPE: Context-Aware Image Representation Prioritization via Ensemble for Large Vision-Language Models

Abstract page for arXiv paper 2601.13622: CARPE: Context-Aware Image Representation Prioritization via Ensemble for Large Vision-Language...

arXiv - AI · 3 min ·
[2512.08777] Fluent Alignment with Disfluent Judges: Post-training for Lower-resource Languages
Llms

[2512.08777] Fluent Alignment with Disfluent Judges: Post-training for Lower-resource Languages

Abstract page for arXiv paper 2512.08777: Fluent Alignment with Disfluent Judges: Post-training for Lower-resource Languages

arXiv - AI · 3 min ·
More in Ai Safety: This Week Guide Trending

No comments

No comments yet. Be the first to comment!

Stay updated with AI News

Get the latest news, tools, and insights delivered to your inbox.

Daily or weekly digest • Unsubscribe anytime