Gemini Rising

See my what to read section scroll below. But if you are here for the AI, keep reading.

I wasn’t expecting Gemini (watch and read this whole page), but Google’s latest language model, is a powerful AI model that is positioned as a competitor to OpenAI’s GPT models. Google claims that Gemini Pro outperforms GPT-3.5 in several industry benchmarks, and Gemini Ultra even surpasses GPT-4 in some cases. Does it matter? Not really – because it shows there are multiple horses in this race.

The marketing by Google was genius. Slickly created and while there was some concern about the promotional video, Google was criticized for featuring staged and edited outputs, which raised questions about how accurately the model’s capabilities were represented. Again, the marketers did a great job, because if they’re not quite there, they will be there soon – and no doubt we will hear from OpenAI, Meta, Anthropic etc as each tries to supersede the other. The fact that Google’s models are closing the performance gap with OpenAI’s models indicates a healthy level of competition in the field of AI research and development will ultimately benefit users and researchers by driving innovation and pushing the boundaries of what AI can do – hopefully in a responsible way.

Gemini offers unique features, including the ability to perform scientific research, code, and provide a user-friendly interface. It is integrated into various Google products and has access to extensive data resources, giving it a strategic advantage. In the competitive chatbot landscape, ChatGPT is currently the dominant player due to its data advantages and strong performance. Winner-take-all dynamics may come into play, with users gravitating towards the best chatbot available – but I’m not quite sure it’s just a game of chatbots.

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