TikTok Adds User Controls for AI-Generated Content

✨TodayOnAI’s Daily Drop

• TikTok Adds User Controls for AI-Generated Content

• Poe’s AI app now supports group chats across AI models

• Hugging Face CEO says we’re in an ‘LLM bubble,’ not an AI bubble

• 💬 Let’s Fix This Prompt

• 🧰 Today’s AI Toolbox Pick

TikTok

TikTok Adds User Controls for AI-Generated Content

🚀 TodayOnAI Insight: TikTok is giving users direct control over how much AI-generated content appears in their feeds and introducing new watermarking tech to better label synthetic media—positioning itself amid rising scrutiny of AI transparency across platforms.

🔍 Key Takeaways:

• TikTok is rolling out a new AI-generated content (AIGC) setting within its “Manage Topics” tool, letting users dial AI content visibility up or down.

• The setting joins other content filters like Dance, Sports, and Food, enabling more personalized feed curation without removing content outright.

• To strengthen transparency, TikTok is testing invisible watermarking on AI-generated content, in addition to existing metadata tools like C2PA Content Credentials.

• These invisible watermarks—applied to content made with TikTok tools or uploaded with metadata—are detectable only by TikTok, reducing the risk of tampering.

• The platform is also launching a $2M AI literacy fund, supporting organizations like Girls Who Code to promote public education around AI and safety.

💡 Why This Stands Out: As platforms increasingly integrate AI content into user feeds, TikTok’s opt-in controls and layered labeling reflect a more user-centered and transparent approach. With Meta and OpenAI pushing AI-first social experiences, TikTok is betting on giving users agency and clarity. Will this set a new expectation for AI visibility in content curation?

Poe AI

Poe’s AI app now supports group chats across AI models

🚀 TodayOnAI Insight: Quora’s AI platform Poe is introducing group chats, letting up to 200 users collaborate in real time with over 200 AI models—including advanced tools for text, image, video, and audio generation. The move signals a shift toward AI-powered, multi-user collaboration spaces.

🔍 Key Takeaways:

• Poe’s new group chat feature supports real-time interaction with models like Claude 4.5 Sonnet, GPT-5.1, Sora 2 Pro, and ElevenLabs v3.

• Users can now collaborate with friends, families, or teams to research, brainstorm, plan, or play games—all within one shared AI-powered thread.

• Chat history syncs seamlessly across desktop and mobile via poe.com.

• Anyone can create and share custom bots for group use, extending Poe’s flexibility and community-driven approach.

• The update follows OpenAI’s recent pilot of ChatGPT group chats, highlighting a growing trend in multi-user AI interfaces.

💡 Why This Stands Out: Poe is reframing how people interact with AI—no longer as isolated users, but as collaborators within dynamic group contexts. By fusing AI versatility with real-time multi-user functionality, Poe opens the door to new collective workflows, from creative ideation to trip planning. Will group-driven AI usage become the next frontier in everyday productivity?

Hugging Face

Hugging Face CEO says we’re in an ‘LLM bubble,’ not an AI bubble

🚀 TodayOnAI Insight: Hugging Face CEO Clem Delangue warns that the real AI bubble may not be AI itself, but the hype around large language models (LLMs)—and it could burst as soon as next year. Speaking at an Axios event, he emphasized that AI’s future remains strong, especially in domains beyond LLMs.

🔍 Key Takeaways:

• LLM Hype at Risk: Delangue argues we’re in an “LLM bubble,” with overconcentration of money and attention on large, general-purpose models.

• Shift to Specialization: He predicts a rise in smaller, task-specific models—cheaper, faster, and enterprise-ready.

• Broader AI Momentum: AI in fields like biology, chemistry, audio, and video is just beginning to scale, independent of LLM trends.

• Hugging Face Strategy: Despite potential LLM market volatility, Hugging Face remains resilient with ~$200M in reserves and a capital-efficient business model.

• Long-Term Outlook: Delangue critiques short-termism in the AI space, positioning Hugging Face as focused on sustainable innovation.

💡 Why This Stands Out: Delangue’s comments reflect growing skepticism about the one-size-fits-all promise of frontier LLMs. His vision points to a more modular, pragmatic future for AI—one shaped by targeted tools, not just flashy chatbots. As investment patterns shift, will specialization become the new scale?

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🧰 Today’s AI Toolbox Pick

• 🍋LemonSqueezy (Finance Tool): An AI-powered stock picker that makes smart data-driven investment decisions to boost your portfolios.

• 🧻Softr (Apps Tool): Creates stunning websites in seconds.

• 📈Danelfin (Finance Tool): An all-in-one content creation platform that allows you to craft your content effortlessly and streamline your workflow.