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#chatgpt4o

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I am working on a new #Kotlin library for #actors. Recently, I noticed a minor inconvenience (users annotate methods, library calls annotated methods via reflection, IntelliJ inspections consider these methods unused) and have collected some options to address this.

Since I was pretty confident I had all the bases covered, I asked #ChatGPT4o about options, and was presented with two IntelliJ annotations for my annotations that mark the annotated methods as implicitly used. (1/2)

🚀 DeepSeek V3 vs ChatGPT-4o: Which One Reigns Supreme?🤖

AI is evolving fast! 🏎️ DeepSeek V3 and ChatGPT-4o are two of the most powerful LLMs in 2025. But which one is better?

🔍 We compare:
✅ Accuracy & performance
✅ Multimodal capabilities
✅ Speed & efficiency
✅ Real-world applications

📖 Read the full breakdown here:

radargit.com/2025/02/03/deepse

Which AI model do you prefer? Comment below! 👇

Radargit · DeepSeek V3 vs ChatGPT 4o Which One is Better?the strengths and weaknesses of DeepSeek V3 vs ChatGPT 4o in our comprehensive comparison to find the AI tool that best meets your needs.
#AI#DeepSeekV3#ChatGPT4o

Reading a lot of AI benchmarks recently that are comparing not only models but also
Including humans.

What I don’t see is, that those benchmarks include response times and energy consumption to produce the answer.

I am specifically not talking about the training.

But if I need 3 million dollars and 2 hours to produce a result that is comparable to average humans, it’s probably not a fair comparison.

This will certainly change with recent model innovations.