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TikTok DeepFake AI ♪, OpenAI Rebrand ✨, Apple New App 🍎
Today's TechToks: Bytedance's Video Generator, Explaining DeepSeek, Apple's new app, Trending GitHub repositories, Fresh Product Picks, and much more!
See all as stories in techtok.today
Today's Picks🍒
🚀 Bytedance video generator, OpenAI rebrand, Apple’s new app
🐋 From MIT Technology Review: How DeepSeek Disrupted AI
🌟 GitHub's Trending Repositories
⚙️ Self-Host AI Quick
🎯 Local Business Intelligence
🧠 AI tutorials
🔥 Products of the Week
🗓️ Team email summaries
🔮 Structured web data
🤖 Automated SEO
➕ And much more
🧐 Weekly Picks
Most impactful articles and news of this week on techtok.today
TikTok’s company presented an advanced AI framework that transforms a single photo into highly realistic, full-body video. It was trained on 18,700 hours of video, it generates natural gestures and movements from text, audio, and pose data.
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📱 Product Picks
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Build advanced browser agents in plain English. Automate job applications, form filling, and more with 85.8% WebVoyager accuracy.
🗓️ Teamsaver.ai
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🤯 Outrank
Keyword Research and Blogging on Auto-Pilot for Growth. Boost search rankings and increase traffic with automated blogging of AI-driven, SEO-optimized content.
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🛠️ Tool Finder
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👩🏽💻 Engineering Blogs
Articles from engineering blogs of big tech companies
![]() MIT |
DeepSeek has changed how AI is built, matching or beating performances with the infamous ChatGPT, for far cheaper. News came out as soon as a $500 billion investment was announced with OpenAI, but DeepSeek only cost $6 million for training.
How ?
What makes DeepSeek different is how it trains its models. Unlike others that need expensive human feedback, DeepSeek uses automated methods to refine its AI, making it faster and cheaper.
‘Half their innovation comes from straight engineering’: instead of NVIDIA’s industry-standard (CUDA), DeepSeek built their own ultra-optimised, machine-level code with assembler. “That’s as hardcore as it gets in optimizing these things.”
It also uses smart tricks like predicting multiple words at once, which makes the process more efficient and accurate.
The cumulative cost to reach DeepSeek was far above $6 million. Still, in comparison, OpenAI’s competing model took around $100 million (Wired).
This approach is setting new standards in AI development, and other companies will likely follow suit to keep up.
✨ "Too long don't README"
GitHub trending repos of today
Docker template to set up a local AI development environment. It combines tools like n8n, Ollama, Qdrant, and PostgreSQL to enable a wide range of AI-powered workflows and applications, from scheduling assistants to secure document analysis.
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What can you use this for? Quickly set up local AI, build AI Agents, and use AI on private data
A business intelligence and data visualization tool that makes it easy for anyone to ask questions and learn from data. It provides a user-friendly interface for creating interactive dashboards, automating data reporting, and enabling self-service analytics, while also offering a SQL editor for more advanced use cases.
What can you use this for? Build easy data visualizations, self-host for data privacy, and reuse graph templates
Repos to learn something new
A collection of resources for learning and experimenting with the latest advancements in AI engineering. Has in-depth tutorials on large language models, real-world AI agent applications, and examples to implement, adapt, and scale AI in your projects.
What can you use this for? Execute AI template code, adapt scripts, and generate images locally with DeepSeek’s Janus Pro