Frontier Feud: Anthropic, Google DeepMind, Meta FAIR, Thinking Machines — Barr Yaron, Amplify

Key Concepts:

• AI Researchers
• Model Selection Criteria
• AI Buzzwords
• AI Tools
• AI Disruption of Jobs
• Influential AI Papers
• AI Engineering Nightmares

Frontier Feud Game Summary

1. Introduction

• The host, Bar Yerone from Amplify, introduces the Frontier Feud game, a competition where two teams of AI professionals guess the most popular answers to survey questions posed to 100 AI engineers.
• The team members introduce themselves, their affiliations (Anthropic, Reflection AI, Google DeepMind, Augment Code, Thinking Machines), and share a "tech hot take."

2. Team Introductions and Tech Hot Takes

• Team 1 (M, John, Tina, Sha):
  • M (Anthropic): Predicts one of the top five entities training large AI models will cease doing so by year's end.
  • John (Anthropic): Believes AIs can be effective therapists.
  • Tina (Reflection AI): Advocates for 20 minutes of daily non-AI-interrupted thought with paper and pencil.
  • Sha (Google): Emphasizes the importance of original human content for training future AI models representing individuals.
• Team 2 (Paige, Colin, Petra, Stephen):
  • Paige (Google DeepMind): Foresees a shift towards on-device model deployment and specialized smaller models orchestrated for specific tasks.
  • Colin (Augment Code): Predicts AI dating apps where AIs date each other and suggests Transformers are not the final architecture, envisioning models built with biological materials.
  • Petra (Google): Believes future conversations will involve multiple bots.
  • Stephen (Thinking Machines): Dismisses concerns about hitting a token wall as a "skill issue."

3. Round 1: Most Influential AI Researcher

• The question: "Name the most influential AI researcher."
• Team 2 (Paige's team) goes first.
  • Paige guesses Ilia Sutskever, which is incorrect.
• Team 1 (M's team) plays.
  • John guesses Andrej Karpathy (correct).
  • Tina guesses Jeff Hinton (correct).
  • Sha guesses Yann LeCun (correct).
  • M guesses Sam Altman (incorrect).
• Team 1 gets three strikes.
• Team 2 steals the points by guessing Jeff Dean (incorrect).
• Revealed answers: Andrew Ng, Fei-Fei Li, Yoshua Bengio.

4. Round 2: Top Considerations When Choosing a Model

• The question: "Name the top considerations when choosing a model."
• Team 2 goes first.
  • Colin guesses "Intelligence" (correct).
  • Petra guesses "Safety" (incorrect).
• Team 1 plays.
  • Tina guesses "Price/Cost" (correct).
  • Sha guesses "Latency" (correct).
  • M guesses "Accuracy/Performance" (correct).
  • John guesses "CEO" (correct).
• Team 1 gets one strike.
• Team 2 steals the points by guessing "Open Source vs. Closed Source" (correct).
• Revealed answers: Capabilities.

5. Round 3: AI Buzzword Everyone is Tired Of

• The question: "Name a buzzword everyone in AI is tired of hearing."
• Team 1 goes first.
  • Tina guesses "Agents" (correct).
• Team 2 gets to guess for the number one answer.
  • Paige guesses "Multimodality" (incorrect).
• Team 1 plays.
  • Sha guesses "Co-pilots" (correct).
  • M guesses "AGI" (correct).
  • John guesses "Deep" (incorrect).
• Team 2 steals the points by guessing "Safety" (incorrect).
• Revealed answers: RAG, Prompt Engineering.

6. Fast Money Round

• Two members from the winning team (Team 2), Mahir and John, participate.
• Mahir's Round:
  • Name an AI tool that engineers love: Cursor (correct).
  • Name the job most at risk of AI disruption: Software Engineers (correct).
  • Name the most influential AI paper in history: Attention is all you need (correct).
  • Name the biggest nightmare for AI engineer at 2 a.m.: Hardware failure (correct).
  • Mahir scores 140 points.
• John's Round:
  • Name an AI tool engineers love: CT (incorrect).
  • Name the job most at risk of disruption: Artists (correct).
  • Name the most influential AI paper in history: Transformers is all attention is all you need (already answered).
  • Name the biggest nightmare for AI engineer at 2 a.m.: Cuda SS (incorrect).
• The team does not reach 200 points.

7. Prizes and Conclusion

• Prizes include a massive llama, rainbow Lamba beanie babies, AI engineering books, and gift cards.
• The host announces a survey on the state of AI engineering to be presented at the AI Engineer World Fair in June.

Main Takeaways:

• The game highlights key trends and opinions within the AI engineering community.
• Cost and performance are major considerations in model selection.
• Certain AI buzzwords are becoming tiresome.
• The "Attention is All You Need" paper remains highly influential.
• AI engineers face challenges related to hardware, model outages, and VC outreach.