New AI Chip, GPT4o, Claude 3.5, SpaceX Double Landing, AI Video Games

Matthew Berman
29 Jun 202412:23

Summary

TLDRThe video script discusses recent AI advancements, focusing on Etched's new AI chip 'Sohu', which promises to outperform GPUs in processing speed and cost. It also covers OpenAI's delayed voice capabilities, Hugging Face's new LLM leaderboard highlighting 'Quen 72b' as a top performer, and Claude 3.5's coding prowess. The script wraps up with AI-generated videos resembling real-time gaming and Apple's decision not to integrate Meta's AI models into Siri due to privacy concerns.

Takeaways

  • 🚀 A new AI chip company, Etched, has developed a chip called Sohu that claims to generate over 500,000 tokens per second running Llama 70b, which is specialized for Transformer models.
  • 🔋 Sohu is said to be more efficient than GPUs, with one server equipped with eight Sohu chips replacing 160 Nvidia H100s, though it's not yet in production.
  • 💡 The chip's specialization for Transformer models is likened to how ASICs were created for Bitcoin mining, suggesting a shift towards specialized hardware for AI tasks.
  • 📉 GPUs are not improving significantly, with a 15% improvement in compute density over four years, indicating a need for specialized chips to enhance performance.
  • 🌐 Open AI's voice capabilities, which were anticipated to be released, are delayed to further improve the model's content detection and refusal abilities, and infrastructure scalability.
  • 🎙️ Open AI's advanced voice mode is expected to roll out in Alpha to a small group of users in late June, with a full rollout planned for the fall.
  • 🏆 Hugging Face has launched a new open LLM leaderboard, with Quen 72b emerging as the top performer, indicating the dominance of Chinese open models in AI.
  • 📊 There's a concern that AI model makers are focusing too much on public benchmarks, potentially at the expense of overall model performance.
  • 🥇 CLA 3.5 (Sonaut) has achieved the top spot in coding and hard prompts, showcasing its capabilities against other leading models like GPT-40 and Gemini 1.5 Pro.
  • 🎮 AI-generated video content, resembling a Call of Duty game, demonstrates the potential future of video games, though real-time generation requires significant computational power.
  • 🔄 Reports suggest that Apple was in talks with Meta AI to integrate Llama 3 into Siri but has since decided against it due to privacy concerns, despite Apple's capacity to host the model themselves.

Q & A

  • What is the new AI chip company mentioned in the script called, and what is its claim to fame?

    -The new AI chip company is called Etched, and it claims to be able to generate over 500,000 tokens per second running Llama 70b, with a chip named Sohu that is specialized for Transformer models.

  • How does the Sohu chip compare to Nvidia's H100 in terms of performance and efficiency?

    -One server with eight Sohu chips is said to replace 160 Nvidia H100s. Sohu is more than 10 times faster and cheaper than Nvidia's next-generation Blackwell GPUs, running over 500,000 Llama 70b tokens per second compared to H100's 23,000 tokens per second.

  • What does the script suggest about the future of AI models and hardware specialization?

    -The script suggests that within a few years, every large AI model will run on custom chips, which are more than 10 times faster and cheaper than current GPUs, indicating a shift towards specialized hardware for AI models.

  • Why is OpenAI delaying the release of its advanced voice mode?

    -OpenAI is delaying the release of its advanced voice mode to improve the model's ability to detect and refuse certain content, and to further enhance the user experience and infrastructure to scale to millions of users while maintaining real-time responses.

  • What is the significance of the new open LLM leader board announced by Hugging Face's CEO?

    -The new open LLM leader board is significant as it provides a comprehensive evaluation of major open LLMs, with Quen 72b emerging as the top performer, indicating a shift in the dominance of AI models and the importance of specialized benchmarks.

  • What is the current status of the integration talks between Apple and Meta's AI models for Siri?

    -According to recent reports, Apple is no longer considering integrating Meta's AI models into Siri due to privacy concerns, despite previous talks suggesting otherwise.

  • What does the script imply about the potential impact of AI-generated content on the future of video games?

    -The script implies that AI-generated content, as demonstrated by the realistic AI-rendered video, could revolutionize the video game industry by enabling highly realistic and immersive gaming experiences.

  • What is the script's perspective on the importance of specialized AI chips like Sohu for the future of AI development?

    -The script highlights the importance of specialized AI chips like Sohu for the future of AI development, suggesting that they will become the standard for running large AI models due to their superior performance and cost-effectiveness.

  • What is the script's view on the current state of GPUs and their limitations in AI model performance?

    -The script suggests that GPUs are not improving at a rate that matches the needs of AI model performance, with compute density only improving by 15% in the past four years, indicating a need for more specialized hardware.

  • How does the script describe the potential of AI in creating realistic video content, as shown in the AI-generated video?

    -The script describes the potential of AI in creating realistic video content as impressive and mind-blowing, with the AI-generated video showcasing high-quality visuals and sound that are almost indistinguishable from real footage.

  • What is the script's opinion on the role of benchmarks in evaluating AI models?

    -The script suggests that benchmarks are crucial for evaluating AI models, but there is a concern that model makers might be focusing too much on major public benchmarks at the expense of overall model performance.

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