Grok 3.0 and the strategic landscape

There's a few different uses for AI.  Specifically, let's focus on the chatbot driven AI tool landscape, in which I think there are 2 primary uses cases.

For one, it's the use of AI within a company, for increased productivity.  An article by KPMG referenced how areas like financial modelling have been enhanced by the utilization of AI.  It seems like a lot of companies are integrating Microsoft Copilot, as Microsoft discusses in this article.  79% of participants in a survey say that their company uses Copilot, according to this article from CNBC.  Companies cite the top factor that determines this choice comes down to the integrability, as many companies use Microsoft Office tools and Copilot complements this experience well.  Furthermore, the concept of data security within the space of Microsoft 365 is made easy with the use of Copilot compared to external AI tools.

The second use of AI is, as you mentioned, consumer-facing.  Companies developing AI models for the use of consumers in their day-to-day lives.  An article from ZDNET explores different AI chatbot tools and how they rank compared to each other from a variety of different metrics.  ChatGPT has come out as the top overall, following its popularity as the number one AI chat tool in 2023, as noted in this article.  The top reasons ChatGPT has been dominating in this space the past few years relates to the human-like responses generated from it, as well as the accuracy in a variety of language-based tasks, holding a strong 88% accuracy rating, according to this source.  ChatGPT is often used over Copilot in daily consumer lives for the same reason Copilot is used over ChatGPT in the industry-- Copilot is strong in the Microsoft space.  Consumers tend to gravitate towards the versatility ChatGPT offers, according to this article.

As all models continue to advance in their abilities, I think companies will start to differentiate based on the use cases and the specializations they offer for such use cases.  I think integrated tools like Copilot will continue to dominate in company use and ChatGPT will continue to be of used by the average person.  AI tools thrive on how they are trained.   Both Copilot and ChatGPT are LLM based.  Both are optimized more in performance on specific use cases.  Copilot is optimized within the company landscape, its performance is specifically focused on such tasks, so it would make more sense to use it for the tasks it is optimized for.  ChatGPT is also optimized for those human-like interactions, based on how it was trained.  However, as more companies start to develop their own AI tools and specialize for their own purposes, we might see a shift in how people use AI tools in their daily life in general.  For example, Microsoft's Copilot+ PCs make it easy for consumers to use Copilot since it is deeply integrated with the computer itself.  Furthermore, the hardware of the computer itself is built for specific AI optimization, as it uses NPUs that further enhance AI performance.  This makes it easier for consumers to use Copilot as opposed to ChatGPT, since it is fully integrated with the hardware and software of their computer and all its capabilities.

Therefore, I believe that companies developing AI tools will start to gravitate towards specializing in specific use cases they are optimized for.

Great summaries, and insights,   Data, Prompts and RL are going to be key in the accuracy, and recall ability of AI models.     projecting is only as good as the horizon we're aiming for,  it does appear sometimes we're reaching for the multiverse vs point a to point b in the second use case mentioned.