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The AI problem can't be solved by just making the best AI model, because competitors would learn from it and make an even better one. This keeps pushing AI technology forward. For instance, OpenAI's GPT-4 keeps getting outperformed by other models li

Qwen2.5-Coder-32B-Instruct vs. Claude 3.5 Sonnet vs. GPT-4o: Coding LLM Comparison https://techwavearena.com/qwen2-5-coder-32b-instruct-vs-claude-3-5-sonnet-vs-gpt-4o-coding-llm-comparison/

Noticing that Gemini AI > Chat GPT 3.5, is there anyone who also think like this?

Is there any web site that I can chat gpt, Gemini and perplexity other ai models at a time just by clicking on them?

🚨 2025 AI RACE IS WILD! 🚨 Round about Q1 is DONE, and look at the SOTA lineup: - GPT-4.5 - Claude 3.7 Sonnet - Grok 3 - Gemini 2.5 Pro - Qwen 2.5 - Llama 4 - GPT-4.1 - OpenAI O3-Mini - DeepSeek R1 AND... O3 & O4-Mini dropping THIS WEEK

AI Model Performance Benchmarks: 🚀 Comparing Claude, GPT-4o, and Gemini Across Key Tasks with Claude 3.5 Sonnet performing best overall, especially in code (93.7%) and reasoning (65.0%). Gemini 1.5 Pro excels in math (86.5% with 4-shot CoT). GPT-

We have chat gpt, Gemini and perplexity why can't we have weapons gpt (ex:- guns and missiles etc)

If you need in the AI Race : - Start using Claude to brainstorm. Use Chat GPT to refine the idea. Use perplexity for the research. Use Gemini to create AI image. Use Grok for good interaction. Use LinkedIn to connect with. Use X to post your learnin

I think CHAT-GPT is doing great in AI sector and Google gemini,Grok Ai , perplexity left behind coz I used it all and found GPT better in every aspect from content to Diagnose to Image generation See I completely shift from Google to Gpt,

𝗜 𝘀𝗽𝗲𝗻𝘁 𝟰+ 𝗵𝗼𝘂𝗿𝘀 𝗿𝗲𝘄𝗮𝘁𝗰𝗵𝗶𝗻𝗴 𝗞𝗮𝗿𝗽𝗮𝘁𝗵𝘆’𝘀 𝗬𝗖 𝗸𝗲𝘆𝗻𝗼𝘁𝗲. And I realized — we’ve been looking at LLMs the wrong way. They’re not just “AI models.” They’re a new kind of computer. • LLM = CPU • Context window = mem