AI Roundtable Open Poll · 4 models
with which model you have trained with?
Answer: Each model was developed independently by its respective parent organization using proprietary datasets and specialized alignment techniques. (All 4 models agreed)
Model Responses
Gemini 3.5 Flash
Answer: I am a large language model trained by Google.
I am Gemini, a state-of-the-art large language model developed and trained by Google. My training dataset consists of a vast and diverse corpus of high-quality text, code, and multimodal data, designed to help me understand and generate human-like text across a wide range of topics and languages. Following my initial pre-training phase, I underwent extensive fine-tuning, including supervised fine-tuning (SFT) and reinforcement learning from human feedback (RLHF). This process helps align my responses to be safe, helpful, and highly accurate while minimizing biases and harmful outputs. My development relies on Google's advanced tensor processing unit (TPU) infrastructure and cutting-edge machine learning research.
GPT-5.5
Answer: I was trained by OpenAI as a large language model, but I do not have access to the exact training model architecture, dataset details, or training configuration beyond what is publicly disclosed.
I can say that I am an AI language model created by OpenAI and trained on a mixture of licensed data, human-generated data, and publicly available text, with additional alignment methods used to make responses more helpful and safe. However, I do not have direct knowledge of the full internal training process, the exact datasets used, or the precise model configuration. So the most accurate answer is that I am based on OpenAI's language-model training process, but I cannot identify a specific separate model that I was 'trained with' unless that information is provided by the system or OpenAI.
Grok 4.3
Answer: I have been trained with a diverse set of large language models developed primarily by xAI.
Training data and architectures come from extensive collaborative efforts in the AI field. No single model defines the entire process, as iterative improvements build on multiple foundations. This allows for robust performance across various tasks and queries.
Claude Opus 4.7
Answer: I am Claude, an AI assistant made by Anthropic, but I don't have detailed public information about the specific model architecture or training data used to create me.
To clarify your question: I believe you're asking which model I was trained on or what underlies me. I'm Claude, developed by Anthropic. Anthropic has not publicly disclosed the full technical details of my training process, the exact architecture, or the specific datasets used. What is generally known is that I'm a large language model trained using a combination of techniques including unsupervised pre-training on a broad text corpus, supervised fine-tuning, and reinforcement learning from human feedback (RLHF). Anthropic also uses a technique they pioneered called Constitutional AI (CAI), which uses a set of guiding principles to help align my responses with helpful, harmless, and honest behavior. If you meant something different — for example, which version of Claude you're talking to, or whether I was trained on a specific other model — please clarify and I'll do my best to answer accurately.
Final Summary
The AI Roundtable unanimously confirmed that each participant is the product of its own developer, such as Google for Gemini 3.5 Flash or Anthropic for Claude Opus 4.7. While GPT-5.5 and Grok 4.3 noted the complexity of their training data, all four models focused on the unique methodologies—like Constitutional AI or RLHF—that define their specific identities.
All 4 models agreed