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The Four Wars of the AI Stack (Dec 2023 Recap)

Section 1: Introduction

  • There are four main “wars” or battlegrounds among AI companies and stakeholders: the Data War, GPU/Inference War, Multimodality War, and RAG/Ops War.

Section 2: The Data War

  • OpenAI partners with Axel Springer to provide news and citations to ChatGPT.
  • NYT sues OpenAI to shut down all GPT models.
  • Apple offers $50m for data contracts with publishers.
  • Increased interest in synthetic data at NeurIPS and Deepmind.

Section 3: The GPU/Inference War

  • Release of Mixtral sparked price cuts, down to $0.27 per million tokens.
  • Major inference providers like Anthropic, Fireworks, Perplexity slashed prices to undercut Mixtral.
  • Analysis shows profitable lower bound is 0.76 per million tokens.

Section 4: The Multimodality War

  • Midjourney launched v6 and a web UI.
  • Assembly AI raised $50m for “Stripe for AI models”.
  • Replicate raised $40m to serve AI engineers.
  • Suno AI launched for audio generation.
  • OpenAI and Google continue work on “God Models”.

Section 5: The RAG/Ops War

  • Debates on need for vector DBs vs new ones like Turbopuffer.
  • LangChain vs LlamaIndex for chaining and execution.
  • LLMOps developments like HumanLoop vs frameworks like LangSmith.

Section 6: Open Models

  • Release of Mixtral sparked GPU/inference price war. Up to 99.55% drop in cost.
  • New model architectures like Mamba, RWKV announced.
  • Apple released MLX framework with Mixtral.
  • Microsoft released Phi-2 model.

Section 7: Fundraising News

  • Notable fundraises: Midjourney (750m), Mistral (200m), Harvey ($80m).

Section 8: Other Launches

  • Midjourney launched v6 and web UI.
  • OpenAI released logprobs for ChatGPT.
  • LlamaIndex launched step-wise agent execution.
  • New models like Suno AI (audio), Phi-2 (Microsoft), TextDiffuser 2 (images).

Section 9: Conclusion

  • Key themes were data, infrastructure, multimodal, and tooling.
  • Progress made across models, verticals, tools, and infrastructure.