Here’s the simple takeaway: If you’re building front-end UIs with AI right now, Gemini is on another level. DeepSeek is close. ChatGPT is not even in the race. Crazy how the same “build a site” request exposes the strengths instantly: → ChatGPT thinks like a coder
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PROMPT ENGINEERING
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Gemini vs DeepSeek vs ChatGPT in UI Development
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ChatGPT vs DeepSeek vs Gemini UI Design Test
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ChatGPT vs DeepSeek vs Gemini
— God of Prompt (@godofprompt) 8 décembre 2025
Which one makes the best-looking website UIs?
I tested them with this prompt: "Build an ecommerce site for premium laptop and mobile accessories using HTML5."
Here's the result: pic.twitter.com/TPyfKQGy2zChatGPT vs DeepSeek vs Gemini Which one makes the best-looking website UIs? I tested them with this prompt: "Build an ecommerce site for premium laptop and mobile accessories using HTML5." Here's the result:
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Engineering Emergent Personalities in LLM Reward Optimization
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There is definitely work going into engineering the "you" simulation – the personality that gets all the rewards in verifiable problems, or all the upvotes from users/judge LLMs, or mimics the responses of SFT, and there is an emergent composite personality from that. My point is
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LLMs as Simulators: Rethinking Prompt Engineering Approaches
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Don't think of LLMs as entities but as simulators. For example, when exploring a topic, don't ask: "What do you think about xyz"? There is no "you". Next time try: "What would be a good group of people to explore xyz? What would they say?" The LLM can channel/simulate many
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Collaboration, Not AI, Is the Real Bottleneck
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here's what broke my brain about this research. we've been optimizing the wrong side of the equation this entire time. better prompts. stronger models. higher benchmarks. longer context windows. more parameters. but the bottleneck isn't the AI. it's our ability to collaborate
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MIT: Prompt Engineering Is Social, Not Technical
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MIT researchers just proved that prompt engineering is a social skill, not a technical one. and that revelation breaks everything we thought we knew about working with AI. they analyzed 667 people solving problems with AI. used bayesian statistics to isolate two different
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Cloth Simulation Comparison: ChatGPT vs Claude vs DeepSeek
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ChatGPT 5.1 vs. Claude Opus 4.5 vs. DeepSeek-V3.2
— God of Prompt (@godofprompt) 6 décembre 2025
(left) (middle) (right)
prompt I used:
Create a single HTML file containing a realistic cloth simulation using HTML5 Canvas and JavaScript. The cloth… pic.twitter.com/XWFfV2bSRdChatGPT 5.1 vs. Claude Opus 4.5 vs. DeepSeek-V3.2 (left) (middle) (right) prompt I used:
Create a single HTML file containing a realistic cloth simulation using HTML5 Canvas and JavaScript. The cloth -
Narrator Role in AI Conversation Design Based on Graziano’s Work
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Thanks, David. I like your attempt at fixing it. It reminded me of something @serkancabi and I tried a while back inspired by the awareness work of Michael Graziano, In addition to Bot and User, we added another party in the discussion: the Narrator. The Narrator generates a
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10 Powerful Claude Prompts for a Million-Dollar Business
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Claude Sonnet 4.5 is the closest thing to an economic cheat code we’ve ever touched but only if you ask it the prompts that make it uncomfortable. Here are 10 Powerful Claude prompts that will help you build a million dollar business (steal them):