🌀 Perplexity wants to open-source TikTok algorithm
AI bots reshape web traffic patterns

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Hey there, AI enthusiasts. The forced divestiture of TikTok takes an unexpected turn as AI search company Perplexity proposes acquiring and rebuilding its recommendation algorithm as open-source.
With an $18 billion valuation and plans to raise up to $1 billion, this bid could transform social media transparency while keeping TikTok operational under American governance.
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In Today’s AI Daily:
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- Cloudflare deploys AI-generated content to trap unauthorized crawlers
- Perplexity makes bid to acquire TikTok with open-source plans
- Tencent introduces first Mamba-powered reasoning model
- Midjourney surveys users about upcoming video generation
- Google enhances Gmail search with AI relevance features
CLOUDFLARE
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🤖 Cloudflare weaponizes AI to trap data-hungry crawlers

Image source:Â Cloudflare
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The AI Daily: Cloudflare has introduced AI Labyrinth, a new defense tool that uses fake AI-generated content to confuse and slow down bots that steal website data without permission.
Key notes:
- AI bots send over 50 billion requests to Cloudflare’s network every day—about 1% of all web traffic it handles.
- Cloudflare handles bots differently. Instead of blocking them, it offers fake pages that look real. This makes the bots waste their time and energy.
- When bots fall for the trap, they help improve Cloudflare’s AI detection system by showing how new bots behave.
- Future versions of the system will create even smarter fake web pages with links, making them harder for bots to spot.
Why it matters: AI tools depend on huge amounts of online data, but not all companies follow the rules. With 47% of Medium’s content now AI-generated (according to Cloudflare), the fight over web data is heating up. AI Labyrinth helps websites fight back. It slows down unauthorized bots, protects data, and makes the web safer for all.
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PERPLEXITY
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🔍 Perplexity wants to make TikTok’s algorithm open to everyone

Image source: Perplexity
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The AI Daily: Perplexity just announced its bid to acquire TikTok, proposing to rebuild the platform's recommendation algorithm as open-source while maintaining the user experience ByteDance has built.
Key notes:
- Perplexity says they’re the right team for the job—tech-savvy but not too big, so they won’t become another tech giant
- They plan to keep all TikTok data in the U.S., with American rules and privacy protections
- Their biggest idea? Making TikTok’s "For You" algorithm public, so people can see how recommendations work and know they’re not being secretly influenced
- To pull this off, Perplexity is trying to raise $500 million to $1 billion, and the company is now valued at $18 billion
Why it matters: The U.S. government has told ByteDance, TikTok’s parent, to sell by April 5 or exit the country. Perplexity’s offer might fix this issue. It could make TikTok more open and trustworthy. If it works, it could change social media. Platforms might become more open about what they show users and why.
TENCENT
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🧠Tencent unveils first Mamba-powered reasoning model

Image source: Tencent
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The AI Daily: Tencent just introduced Hunyuan-T1, the world's first ultra-large reasoning model built on a hybrid Transformer-Mamba architecture, designed to deliver faster reasoning capabilities while maintaining exceptional accuracy across complex tasks.
Key notes:
- T1 is based on a new mix of technologies called Transformer-Mamba, which helps it work 2x faster than similar AI models.
- Tencent used almost all of its training power—96.7%—on teaching the model to reason and think more like a human.
- In tests, it scored 87.2 on a tough reasoning exam (MMLU-PRO) and 96.2 on a math test (MATH-500), putting it just behind top models like OpenAI’s o1.
- It can give its first answer in just 1 second and write 60–80 words per second, even when handling longer, more detailed tasks.
Why it matters: Hunyuan-T1 shows that AI doesn’t have to be built in just one way. By mixing new and old tech, Tencent created a model that’s fast, smart, and efficient. It proves that AI systems can be both powerful and quick—something that could change how future AI tools are built and used.
FASTÂ TRACKS
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🗞️ What Matters in AI Right Now?
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ByteDance released InfiniteYou (InfU), a flexible identity-preserved image generation system using Diffusion Transformers that enables users to create unlimited personalized photographs.
Meta began testing AI-generated comment suggestions on Instagram with a "Write with Meta AI" feature that analyzes photos and offers three potential responses.
CoreWeave launched AI Object Storage, a high-performance solution optimized for large datasets in AI and machine learning workflows.
Google upgraded Gmail's search functionality with an AI-powered "most relevant" option that considers recency, most-clicked emails, and frequent contacts instead of just chronological keyword results.
Midjourney surveyed Discord users about preferences for its upcoming AI video generation release, gathering feedback on feature priorities and pricing expectations.
Perplexity reportedly entered talks to raise up to $1 billion at an $18 billion valuation, with the company's annual recurring revenue reaching $100 million amid increasing competition in AI-powered search.
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