Key insights

• 🤖 DeepSeek R1 is a groundbreaking open-source AI model developed for under $6 million, making it an accessible alternative to costly competitors.
• 📈 Utilizes self-reinforced learning, achieving 71% accuracy on math benchmarks while indicating room for improvement in coding tasks.
• ✉️ Log in with Google for seamless access and to bypass lengthy email verification processes when using the Deep Think R1 model.
• 🔍 Showcases transparent reasoning that allows users to follow its logic and corrections, enhancing user trust and clarity.
• 🤔 The Chain of Thought approach enables R1 to identify and self-correct errors, providing a more human-like interaction.
• 💻 Can be run locally to enhance privacy, although the full model demands high hardware specifications due to its advanced capabilities.
• 📦 Offers distilled versions for users with less powerful setups, ensuring broader access to its AI technology even with limited resources.
• 🚀 Generates excitement in the AI field, challenging existing players like OpenAI and signaling a shift towards more affordable innovations.

Q&A

• What is the user sentiment towards AI following DeepSeek's release? 🚀

  There is a palpable enthusiasm for AI growth, especially with the introduction of DeepSeek R1 as a competitive alternative to existing models like OpenAI’s. Users are excited to see how competitors will respond to this innovative development.

• Is DeepSeek R1 compatible with local operation? 🖥️

  Yes, DeepSeek R1 can be run locally to enhance user privacy. However, the full model requires significant hardware resources (1,300 GB of VRAM). Distilled versions are also available for users with less powerful setups.

• How does the Chain of Thought approach work? 🧠

  R1’s Chain of Thought approach allows it to identify and correct its own mistakes, making its responses more human-like. Although it may be slower than ChatGPT 4 in coding tasks, it's a valuable free alternative that can be used for creative tasks like game development.

• What unique features does DeepSeek R1 provide? 👁️

  DeepSeek R1 transparently reasons through its responses in real-time, allowing users to see the logic behind its answers. It is capable of correcting its own hallucinations, showcasing a unique level of self-awareness that many other models lack.

• Can I log in faster to DeepSeek R1? ⏱️

  Yes! To avoid long email verification waits, it's recommended to log in using a Google account. This provides quicker access to the platform and its advanced features, including the Deep Think R1 model.

• What training method does DeepSeek R1 use? 🔍

  DeepSeek employs self-reinforced learning without human supervision, resembling the way a child learns through experimentation in cooking. This approach has resulted in a 71% accuracy on the AIM 2024 mathematics benchmark but less effectiveness in coding tasks.

• How does DeepSeek R1 compare to other AI models? 📈

  DeepSeek R1 was developed at a fraction of the cost of its competitors, which spend billions on similar technologies. Despite this, it has quickly become the most downloaded app due to its innovative functionality and open-source nature.

• What is DeepSeek R1? 🤖

  DeepSeek R1 is a revolutionary open-source AI model developed for under $6 million. It has rapidly gained popularity on the App Store, surpassing ChatGPT in downloads. While it offers advanced features and capabilities, it still has some flaws based on user experiences.

• 00:00 DeepSeek R1 is a revolutionary open-source AI model developed for under $6 million, rapidly gaining popularity on the App Store and surpassing ChatGPT. It's praised for its capabilities but still has some flaws. 🤖
• 01:00 Deep Seek uses self-reinforced learning, enabling it to perform well on math benchmarks, achieving 71% accuracy, but lacks in coding tasks. 📈
• 02:18 Avoid long email verification waits by logging in with Google and explore the advanced Deep Think R1 model, which enhances problem-solving through step-by-step reasoning. 🤖
• 03:29 Deep Seek R1 stands out by transparently reasoning through each step and effectively correcting its own hallucinations, demonstrating a unique level of self-awareness. 🤖
• 04:41 The Chain of Thought approach of AI model R1 allows it to identify and correct its own mistakes, functioning more human-like compared to others. While it's slower than ChatGPT 4 in coding tasks, it's a valuable free alternative worth exploring. 🤖
• 06:05 Deep Seek's R1 model can be run locally for privacy, requiring significant hardware but also offering distilled versions for smaller setups. Enthusiasm for AI growth is evident, especially compared to existing players like OpenAI. 🚀