???? Why Google Will Not Win This AI Race? ????

Hello #linkedincommunity! There’s an exciting race heating up in the world of #artificialintelligence, particularly in the realm of AI-powered chatbots and generative search. Let's dive into why #Google might not be the winner this time! ??

?? Current AI Landscape:

The AI chatbot market is booming with innovations. Giants like OpenAI have developed #chatgpt, which is known for its entertaining but sometimes inaccurate responses. Another player is 谷歌 's #bard, which has its set of challenges, particularly with fake news. Then there's Perplexity , founded by Aravind Srinivas , which focuses on direct answers with citations and aims to revamp the search experience??.

?? Google’s Another Entry – Magi:

Google has thrown its hat in the ring with a new search experience called “Magi.” But here’s the catch - Magi isn't very different from Google’s previous attempts at extracting text. It seems like a rehashed version of what they've already done before??.

??? ♂? Challenges with Powerful Models:

Google faces a multifaceted dilemma. To effectively compete, they need to employ powerful models. However, utilizing such models is not just resource-intensive, but most importantly, it can hit their revenue streams hard??. The balance between accuracy and cost is a tightrope that Google has to walk?? ♂?. Moreover, it is believed that Google actually possesses a more powerful generative search engine up its sleeve. But here's the twist - their board of directors is entangled in a strategic conundrum. Should they unleash this more potent product to outpace Bard? It's not just about taking on OpenAI; it's also about the internal competition within Google. Releasing a superior product could inadvertently cannibalize Google's own burgeoning search business??. This intricate interplay between innovation, competition, and internal business dynamics poses a daunting challenge for Google's leadership. The choices they make could shape the future of AI-powered search??.

?? Trust and Reliability:

In this AI race, trust and reliability are paramount. Perplexity AI, for example, has built trust by providing reliable and informative answers with citations??. In contrast, Bard faces issues with fake news, and ChatGPT sometimes fumbles with accuracy. Google's Magi needs to establish itself as a trustworthy source, which is easier said than done in the rapidly evolving AI landscape??.

?? The Verdict:

Google, despite being a giant, has hurdles to overcome. With competitors like Perplexity AI focusing on reliability and direct answers, and with the challenges of employing powerful models without affecting revenue, Google may not necessarily cross the finish line first in this particular AI race??.

Let’s keep our eyes on this thrilling race! What are your thoughts??? ♂?

#ai #machinelearning #generativesearch #chatbots #technology #innovation #google #openai #microsoft #perplexity