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AI can do a lot of things but it can’t make games — or even play them yet
- AI tools have advanced in various tasks, but struggle with games like video games.
- Both Microsoft and Anthropic have faced limitations in generating or playing games with AI models.
- Microsoft attempted an AI-generated version of Quake II, showcasing challenges like unusual movement and hallucinatory experiences.
- Despite the experiment's limitations, it highlights the current capabilities and constraints of generative AI.
- Public perception of AI is influenced by exaggerated statements from tech giants, creating high expectations.
- The reality of AI's current capabilities contrasts with the futuristic scenarios often portrayed in media.
- Anthropic's model, Claude 3.7 Sonnet, playing Pokmon Red on Twitch struggles due to limitations in navigation and understanding pixel art.
- Claude faces challenges with speed, strategic decision-making, and memory capacity, showcasing the complexities of AI in gaming.
- AI demonstrations like these serve to temper expectations and highlight the ongoing development of AI technology.
- The narrative around AI reaching superhuman intelligence is viewed skeptically, emphasizing that AI is in its early stages of advancement.
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