📈 Could Google’s Gemini AI explain Sam Altman’s dismissal?

You certainly do not need first-mover’s advantage when you are a tech behemoth that the masses are reliant on. If you haven’t guessed it yet, I’m talking about Google.

🐌 A slow start doesn’t reflect one’s true potential

Despite earlier woes about losing in the race to advance artificial intelligence (AI) and allowing OpenAI to widen the competition gap, Google has remained steadfast and unveiled its first full-fledged multimodal general AI model Gemini. The tech giant added a cool $80 billion to its already-stunning market cap after its share prices rose about 5%, following the launch of its new AI model. This success comes after embarrassing times when the conglomerate’s employees were asked to “dogfood” its Bard chatbot in an internal memo by Sundar Pichai.

👨‍💻 Poised to create a following for itself

The Gemini AI’s truly multimodal model supposedly distinguishes itself from its competitors as it has been trained on a variety of modes and mediums such as images, audios, videos and of course, text. Although a recent upgrade in September enabled OpenAI’s ChatGPT to process images, there was no mention of ChatGPT being trained on anything besides text, making Google’s Gemini AI stand out with its truly multimodal approach to training the model.

🔥 Could this have links to Sam Altman’s firing?

Within a span of less than a year, Google has sharpened its competitive edge in the race to advance AI. Gemini’s success is certainly a far cry from the horror in February, when the company lost about $100 billion in value after its Bard chatbot provided inaccurate responses to a question on the James Webb Telescope. In a Wall Street Journal interview, Australian academic and now-resigned OpenAI board member Helen Toner shared that the launch of ChatGPT could have had a knock-on effect, pressuring tech behemoths like Google into rolling out their own iterations of ChatGPT and AI products prematurely.