Key insights

• ⚙️ China released a new open source Chain of Thought reasoning model rivaling OpenAI's GPT-3.5
• 🤔 Tech world divided between pessimists and optimists regarding AI's future
• ⚠️ Uncertainty about the emergence of artificial super intelligence and Ray Kurzweil's technological singularity
• 💰 Pessimists vs. optimists: doubts about AI advancements and anticipation of financial gains
• 🚀 China's release coincided with TikTok's ban being lifted
• 🌊 Introduction of the deep sea AI model and discussions about its potential impact
• 🤨 Sam Altman's skepticism about the AI hype and limitations of current AI technologies
• ⚠️ Chat GBT can DOS websites, caution about benchmarks, and emphasis on trusting vibes over benchmarks

Q&A

• What are the capabilities of Chain of Thought models and where can one learn more about AI and deep learning?

  Chain of Thought models are suitable for complex problem-solving, including advanced math and detailed planning. Viewers can learn about AI and deep learning for free through Brilliant's interactive lessons, with a free 30-day trial available at brilliant.org/fireship.

• What is reinforcement learning, and what does it enable models to do?

  Reinforcement learning involves giving the model examples and letting it learn by trying different solutions, adjusting based on rewards. DeepMind released a paper on their reinforcement learning algorithm, emphasizing that prompt instructions for Chain of Thought models should be concise and direct.

• What are the specifications of Deep Seek R1 and how can it be used?

  Deep Seek R1 has a web-based UI and can be used with tools like Hugging Face or downloaded locally. It weighs about 4.7 GB for a 7 billion parameter model and requires over 400 GB and heavy-duty hardware for full functionality with 671 billion parameters. It utilizes direct reinforcement learning instead of supervised fine-tuning.

• What are the capabilities and cautionary notes related to Chat GBT and Deep Seek R1?

  Chat GBT can be used to DOS websites by crawling similar URLs in parallel. Deep Seek R1 competes with OpenAI GPT-3, surpassing it in some benchmarks. However, caution is advised with benchmarks due to potential conflicts of interest, emphasizing the importance of trusting vibes over benchmarks.

• What concerns did Sam Altman express about AI in the video?

  Sam Altman's expressed concerns revolved around the AI hype and the current limitations of AI technologies, reflecting skepticism about the potential impact of AI.

• What was the timing of China's release of the new AI model in relation to TikTok's ban?

  China's release of the new AI model coincided with the lifting of TikTok's ban.

• What are the key points discussed about AI's future in the video?

  The video presents discussions around the uncertainty about the future of AI, dividing the tech world between pessimists and optimists. Pessimists express doubts about AI advancements, while optimists anticipate potential financial gains and the emergence of artificial super intelligence.

• What is the new AI model released by China?

  China released a new open source Chain of Thought reasoning model, which competes with OpenAI's GPT-3.5, sparking debates among tech pessimists and optimists about AI's future and the potential emergence of artificial super intelligence.

• 00:00 China released a new open source Chain of Thought reasoning model rivaling OpenAI's GPT-3.5, sparking debate between tech pessimists and optimists. Pessimists doubt AI advancements while optimists anticipate artificial super intelligence. Uncertainty surrounds AI's future, with pessimists sounding smart and optimists making money. China's release coincided with the lifting of TikTok's ban.
• 00:45 A new AI model called deep sea has been released, and there are discussions about its potential impact. Sam Altman expressed concerns about the AI hype and the limitations of current AI technologies.
• 01:29 Chat GBT can be used to DOS websites by crawling similar URLs in parallel. Deep Seek R1 is on par with OpenAI GPT-3 and even exceeds it in some benchmarks. However, caution should be taken with benchmarks due to potential conflicts of interest. Trusting vibes over benchmarks is emphasized.
• 02:11 Deep seek R1 has a web-based UI and can be used with tools like Hugging Face or downloaded locally. It weighs about 4.7 GB for a 7 billion parameter model but requires over 400 GB and heavy-duty hardware for full functionality with 671 billion parameters. It uses direct reinforcement learning instead of supervised fine-tuning.
• 02:57 Reinforcement learning allows models to learn by trying multiple solutions and adjusting based on rewards. DeepMind released a paper on their reinforcement learning algorithm. Prompting a Chain of Thought model should be concise and direct.
• 03:45 Chain of Thought models are better for complex problem solving, including advanced math and detailed planning. Learn about AI and deep learning for free with Brilliant's interactive lessons. Visit brilliant.org/fireship for a free 30-day trial.