Connect with Jorge Zuazola for your 20 minutes free Teams video on AI 5.0 Leadership 12 Reasons Why ChatGPT Has Faltered in Strategy Compared to Google, Microsoft, and DeepSeek Lack of Focus on Efficiency: ChatGPT may have prioritized large models and complex architectures without sufficient focus on efficiency, leading to higher costs and limited scalability. Data Quality Issues: The quality of training data significantly impacts AI performance. ChatGPT's training data might have contained biases or inaccuracies, leading to unreliable outputs. Limited Context Window: ChatGPT's context window, the amount of conversation history it can consider, may be insufficient for complex tasks requiring broader context. Strategic Integration Challenges: Integrating ChatGPT into existing business processes could be complex due to technical hurdles and data security concerns. Focus on Reactive Responses: ChatGPT might be better at reacting to prompts than taking initiative or planning strategically for long-term goals. Limited Search Capabilities: Early versions of ChatGPT lacked robust search functionalities, hindering its ability to access and process information effectively. Overhyped Marketing: Overpromising capabilities in marketing could have led to unrealistic expectations and user disappointment. Lack of Transparency: Limited transparency regarding ChatGPT's inner workings and training data could raise concerns about bias and accountability. Closed-Source Approach: An entirely closed-source approach might have limited collaboration and innovation within the AI development community. Focus on Text-Based Interactions: ChatGPT may not have placed enough emphasis on integrating visual communication and data analysis capabilities. Limited Support for Multiple Languages: Restricted language support could hinder global adoption and application. Neglecting Customization Needs: A one-size-fits-all approach might not cater to the specific needs and requirements of different users
Saim Aşçı
2mo
The AI race is shifting! DeepSeek challenges giants, proving efficiency beats sheer scale.
Anthony Kaine
2mo
Hmm! Touching many "key points" of my worries in "Reading for meaninh" and causes of economic inflation, in developing African nations, e.g Limited Support for Multiple Languages: Restricted language support could hinder global adoption and application.How can there be better understanding that will make for cognitive analysis of coding engagement as in language spoken, where language linguistic verbs hold different meaning styled to cultural behavior and traditional practices?
Boštjan Dolinšek
1mo
OK Boštjan Dolinšek
Faiz Alam S.
2mo
Love this European Leadership
onica mahlaba
2mo
I didn't know he even know there is something called a "wake up call.
Wow, what a comprehensive and insightful post! 🚀 The future is looking bright with AI 5.0 Leadership, and it seems like the cognitive ladder is the ultimate stairway to success! 🧠✨
Aravind Raman
2mo
Quite a comprehensive view indeed!
Corporate Quality, Regulatory Affairs, Patient Safety @ Baptist Health | MS in Health Care Administration/Integration and Innovation
2moRelevant, and valuable. Great insight into the different platforms. I knew that the next thing was coming. You would be foolish to think Deep Seek is the last iteration of this augmented intelligence revolution. I only hope we can get a handle on the ramifications of the cost of this past dollars and cents. For all of this to work, nothing, absolutely nothing right down to your genetics and private thoughts remains private, or yours. Perhaps this is destined to be the great equalizer in the end.