OpenAI “models” are a Mockery of the Century

Compared to models such as DeepSeek, Qwen, and many others

Here is my prompt I submitted to Qwen3–235B-Think-CS model (this is but one exemplar of how competitors surpass OpenAI big time in common sense reasoning):

I have Lenovo t470s with windows 10 pro. I plugged in Lexar 32GB card in it but it is not recognized neither in windows explorer nor device manager. I restarted laptop but same thing. I ran Lenovo Vantage, shows latest updates are in, but still Lexar not recognized. Ran Microsoft Lenovo x64 hardware troubleshooter, rebooted, but still lexar not recognized, like it does not exist?!

See this beautiful reasoning this engine provided, free of charge of course (I used Poe aggregate to access this and many other AI engines, open source and commercial): — Read More

#chatbots

OpenAI can’t beat Google in consumer AI

OpenAI can’t beat Google at consumer AI, as long as we are in the “chatbot” paradigm. Clock’s ticking for OpenAI to pull a rabbit out of the hat asap (in December). It’s worrisome that OpenAI’s best effort at front-running the Gemini 3 release was with GPT-5.1, which was barely an improvement. Most importantly, Google has much cheaper inference COGs than OpenAI due to its vertical AI integration (with TPUs) and scale. That allows Google to commoditize whatever OpenAI puts out, making monetization impossible.

Google’s data advantage, especially in multi-modal, is really shining. Because Google’s so strong in multi-modal, Gemini 3 just destroyed Sonnet 4.5 in frontend UI coding (which is a visual task). Little things like this makes Google hard to beat, because OpenAI can’t synthetically generate every type of data for training, e.g.Youtube or Google Maps. — Read More

#big7