Did you guys know about Claude and why didn’t anyone tell me about artifacts??

Exploring the Landscape of Language Models: A Closer Look at Claude, Artifacts, and Beyond

In the rapidly evolving world of artificial intelligence, large language models (LLMs) continue to capture the imagination of users worldwide. As someone who has closely followed these developments, I want to share my recent experiences with various platforms, shedding light on their strengths, weaknesses, and emerging features.

Loyalty and Exploration of AI Models

While ChatGPT remains my primary go-to for everyday interactions—being the first LLM I ever used—I’ve begun exploring other options as well. My journey started when I encountered issues with hallucinations and accuracy in ChatGPT. Naturally, I turned to alternative models like Gemini, which is reputedly one of the lowest in hallucination rates, offering a sense of reliability when precision is crucial.

Perplexity, another standout, presents answers with citations, making it easier to verify information—an invaluable feature for quick fact-checking or brief research. Meanwhile, ChatGPT 4.0 continues to excel in providing emotional support and empathetic conversations, although its responses sometimes lean excessively emotive, which can be both comforting and a bit overwhelming. However, I’d never trade its conversational tone for models like 5-Thinking, which, despite a more polished tone, often lack the same resonance or personalized touch.

Introducing Claude and the Significance of Artifacts

Recently, I upgraded to Claude Pro, and it has been a revelation—yet my experience is still unfolding. Previously, I dismissed the free version of Claude due to perceived limitations, but the introduction of artifacts has completely transformed my perception.

One persistent issue I’ve faced with ChatGPT is the unreliable formatting of generated PDFs and Word documents, often riddled with errors or missing information. Additionally, sharing links directly from ChatGPT was becoming problematic, with links failing to open correctly. While I managed to workaround this by copying and pasting URLs manually, these inconveniences highlighted ChatGPT’s limitations in document handling.

In contrast, Gemini excels at exporting chat segments into shared documents seamlessly, which I find highly impressive. The capabilities of Claude, especially concerning artifacts, are turning into a game-changer. Although artifacts—minor errors or distortions in generated images or content—do occur, they are generally manageable. Similar to how ChatGPT sometimes produces imperfect images or text, Claude’s artifacts can be corrected through simple prompts or adjustments.

Why Is ChatGPT So Dominant?

Despite these technical challenges, ChatGPT remains the