synergy is key, try using chatgpt for gameplay mechanics and claude for visuals, that blend could crank out a better experience.
LLMS
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Optimizing ChatGPT Performance Through Planning and Validation
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By the way, this type of approach is specifically important in ChatGPT because by forcing the model to plan, validate, and think better, you basically have more chances to get the best version of it.
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GPT-5 vs Claude: Instruction precision and multi-agent routing comparison
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I think GPT-5 is extremely particular about the instructions, while Claude can get around with more ambiguity (also claude code is multi agent).
But if you do it right, GPT-5 is amazing. I'm pretty shocked by the reception, but I really believe this is mostly based on the routing -
GPT-5 Thinking Mode Excels at In-Context Learning
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If you are using GPT-5 in ChatGPT, you should basically never use the regular version, only the thinking one! That one is really good with in-context learning
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Viral Reddit Meme About New GPT Accuracy
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This is going viral on reddit. And whether you like the new GPT or not, the meme is spot on.
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Next AI Model Differentiators in Chained Prompting
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If you ever do a part 2, add “planning + code + live data” in one chained prompt. That’s where I think the next big differentiator between models will emerge.
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Grok 3 Comparison: AI Model Performance Assessment
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"Better than Grok 3" — damning with faint praise? 😉
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GPT-5 Pro Competence Compared to o1 and o3 Models
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GPT-5 Pro is under-hyped. Pretty much every time I try it, I’m surprised by how competent and coherent the response is. – o1-pro was an incredible model, way ahead of its time, way better than o1 – o3 was better because of its search – o3-pro was a little disappointing