Chat G+ [portable] | 2025 |

| Model | Developer | Strengths | Weaknesses | |-------|-----------|-----------|-------------| | | OpenAI | Broad knowledge, strong reasoning, multimodal | Closed source, expensive API, content filters | | Claude 3 | Anthropic | Longer context (200k), lower hallucination, constitutional AI | Less creative writing, smaller ecosystem | | Gemini (Bard) | Google | Integrated with Google services, YouTube, Maps | Inconsistent factual accuracy, less polished | | LLaMA 2 | Meta | Open weights, customizable | Requires high technical expertise, smaller community | | Grok | xAI | Real-time X (Twitter) data, less filtering | Beta stage, niche access |

It is a tool that is interesting not just because of what it says, but because of what it forces us to say in return. chat g+

Critics often describe Large Language Models (LLMs) like ChatGPT as "stochastic parrots"—systems that simply stitch together words based on probability without understanding what they are saying. While technically true regarding the mechanism (it predicts the next word in a sequence), the result feels eerily like a spark of consciousness. | Model | Developer | Strengths | Weaknesses

Additionally, (web browsing, document analysis, image generation via DALL·E) extend its utility beyond the training cut-off date (April 2023 for GPT-4). multimodal | Closed source