why agi is not possible with the current llms and transformers

1. 1Evaluate the current architecture of LLMs and transformers to identify limitations for AGI
2. 2Research alternative approaches to AGI, such as cognitive architectures or hybrid models
3. 3Assess the role of vibes, product demos, and investor roadmaps in shaping AGI discussions
4. 4Analyze the differences between narrow intelligence and general intelligence in AI systems
5. 5Consider the implications of current LLMs and transformers on the development of AGI

AI researchers and engineers can benefit from understanding the limitations of current LLMs and transformers in achieving AGI, and product managers can use this insight to set realistic expectations for AI products

💡 The current architecture of LLMs and transformers is not a straightforward path to achieving AGI

🚫 Current LLMs & transformers are not enough for AGI. Let's separate vibes from reality 🤖