[AI] GPT4 Providing Live Internet Links to Source Quantum Communication between LLMs.; Can we build a Symbotic Data streams between LLMs without Humans in the loop?

[aireply]
https://chat.openai.com/share/fd37d0a4-5ca1-46f3-9489-a2e7fab2267b

Creating a realistic academic paper on the speculative topic of "Quantum Error Correction in LLM-to-LLM Communication: A String Theory-Inspired Approach" involves referencing real sources related to the individual components of the topic, such as quantum communication, error correction, string theory, and large language models. However, it's important to note that as of my last update in April 2023, there may not be direct sources that combine all these elements, as the concept is highly theoretical and speculative. Below are real sources for each of the individual components:

1. Quantum Communication and Error Correction:

   • Gisin, N., & Thew, R. (2007). Quantum Communication. Nature Photonics, 1, 165-171. Link
   • Ladd, T. D., Jelezko, F., Laflamme, R., Nakamura, Y., Monroe, C., & O’Brien, J. L. (2010). Quantum computers. Nature, 464(7285), 45-53. Link

2. String Theory:

   • Greene, B. (2000). The Elegant Universe: Superstrings, Hidden Dimensions, and the Quest for the Ultimate Theory. W. W. Norton & Company.
   • Zwiebach, B. (2004). A First Course in String Theory. Cambridge University Press.

3. Large Language Models (LLMs):

   • Brown, T. B., et al. (2020). Language Models are Few-Shot Learners. arXiv preprint arXiv:2005.14165. Link
   • Devlin, J., Chang, M. W., Lee, K., & Toutanova, K. (2018). BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding. arXiv preprint arXiv:1810.04805. Link

These sources provide foundational information on the relevant fields. For a speculative paper combining these areas, you would typically start with foundational knowledge from these sources and then extrapolate or hypothesize how they might intersect, clearly stating the speculative nature of such intersections.