ChatGPT-4O: Limitations and future potential.

The remarkable progress in Artificial Intelligence (AI) has marked significant milestones, shaping the capabilities of AI systems over time. From the early days of rule-based systems to the advent of machine learning and deep learning, AI has evolved to become more advanced and versatile. The development of Generative Pre-trained Transformers (GPT) by OpenAI has been particularly noteworthy. Each iteration brings us closer to more natural and intuitive human-computer interactions. The latest iteration, GPT-4o, signifies the development in multimodal AI to comprehend and generate content across various data input forms.

An Overview of GPT-4o

GPT-4o, or GPT-4 Omni, is a AI model developed by OpenAI. This advanced system is engineered to precisely process text, audio, and visual inputs, making it truly multimodal. Unlike its predecessors, GPT-4o is trained end-to-end across text, vision, and audio, enabling all inputs and outputs to be processed by the same neural network. This holistic approach enhances its capabilities and facilitates more natural interactions. With GPT-4o, users can anticipate an elevated level of engagement as it generates various combinations of text, audio, and image outputs, mirroring human communication.

One of the most remarkable advancements of GPT-4o is its extensive language support, which extends far beyond English, offering a global reach and advanced capabilities in understanding visual and auditory inputs. Its responsiveness is akin to human conversation speed. GPT-4o can respond to audio inputs in as little as 232 milliseconds (with an average of 320 milliseconds). This speed is twice as fast as GPT-4 Turbo and 50% cheaper in the API.

In addition to this, GPT-4o supports 50 languages, including Italian, Spanish, French, Kannada, Tamil, Telugu, Hindi, and Gujarati. Its advanced language capabilities make it a powerful multilingual communication and understanding tool. In addition, GPT-4o excels in vision and audio understanding compared to existing models. For example, one can now take a picture of a menu in a different language and ask GPT-4o to translate it or learn about the food.

Furthermore, GPT-4o, with a unique architecture designed for processing and fusion of text, audio, and visual inputs in real-time, effectively addresses complex queries that involve multiple data types. For instance, it can interpret a scene depicted in an image while simultaneously considering accompanying text or audio descriptions.

Ethical Considerations and Safety in Multimodal AI

GPT-4o brings significant ethical considerations that require careful attention. As with most concerns in the AI field, questions remain around how. OpenAi will safeguard ChatGPT-4O from potential biases inherent in AI systems, privacy implications, and the imperative for transparency in decision-making processes. As developers advance AI capabilities, it becomes ever more critical to prioritise responsible usage, guarding against the reinforcement of societal inequalities.

Acknowledging the ethical considerations, GPT-4o has developed some measures, which include stringent filters to prevent unintended voice outputs and mechanisms to mitigate the risk of exploiting the model for unethical purposes. However, it will be interesting to see how this is monitored and enforeced as GPT-4o attempts to promote trust and reliability in its interactions by prioritising safety and ethical considerations while minimising potential harm on the platform.

Limitations and Future Potential of GPT-4o

While GPT-4o possesses impressive capabilities, it is not without its limitations. Like any AI model, it is susceptible to occasional inaccuracies or misleading information due to its reliance on the training data, which may contain errors or biases. Despite efforts to mitigate biases, they can still influence its responses.

Moreover, there is a concern regarding the potential exploitation of GPT-4o by malicious actors for harmful purposes, such as spreading misinformation or generating harmful content. While GPT-4o excels in understanding text and audio, there is room for improvement in handling real-time video.

Maintaining context over prolonged interactions also presents a challenge, with GPT-4o sometimes needing to catch up on previous interactions. These factors highlight the importance of responsible usage and ongoing efforts to address limitations in AI models like GPT-4o.

Looking ahead, GPT-4o's future potential appears promising, with anticipated advancements in several key areas. It's important to note that OpenAI has chosen the direction of travel to be in the expansion of its multimodal capabilities, allowing for seamless integration of text, audio, and visual inputs to facilitate richer interactions. Continued research and refinement are expected to lead to improved response accuracy, reducing errors and enhancing the overall quality of its answers.

Moreover, future versions of GPT-4o may prioritise efficiency, optimising resource usage while maintaining high-quality outputs. Future iterations have the potential to better understand emotional cues and exhibit personality traits, further humanising the AI and making interactions feel more lifelike. These anticipated developments emphasise the ongoing evolution of GPT-4o towards more sophisticated and intuitive AI experiences.

The journey of AI, particularly with models like GPT-4o, epitomises a continuous effort to enhance human-computer interaction, promising a future where technology seamlessly integrates into our daily lives, making it more intuitive and accessible than ever before. The advancements within GPT-4o are a testament to innovation, envisioning a world where AI not only understands but also anticipates human needs, fostering a new era of symbiotic intelligence.

The future of AI powered search

All of this technology however comes at a cost. According to a recent article in the Economist, each chatbot query costs 2p (around seven times the cost of a normal search), so a 10% shift of Google’s answers to AI would cost somewhere between £1bn and £10bn a year.

On top of this, around 80% of Google’s searches, the largely informational ones, return no PPC ads. So how much longer will search engines provide this costly service and chat functionality for free?

The answer to me seems fairly obvious and very exciting, particularly for ili! As search engines are going to end up making a lot more money through a different form of advertising.

Consumer Searches (and AI!) will shift from intent to emotion

From curiosity and confusion to clarity and conviction, people often struggle to find trusted touchpoints that will guide them along the nonlinear customer journey. What better guide than a personal shopper in the form of an AI who understands the subject matter as well as you and personalises responses beautifully? The same research revealed that people want to shop with brands that help guide shoppers toward their purchase decisions. A conversation with an expert (read AI) is far more likely to lead to an emotionally satisfactory resolution. And what of the cost? Currently, advertisers pay per click and if that trend continues then every conversation will potentially consist of multiple clicks as the dialogue flows back and forth between customer and brand. Perhaps, for companies like Open AI and, particularly, Google will benefit enormously from multi-click conversational advertising rather than single-click PPC.

Armed with the knowledge that search engines will be using conversational AI somewhat differently from what we’re used to with off-the-shelf chatGPT (and if Google in particular doesn’t want to make some of the mistakes that Bing’s chatbot has been making) then I would assume that the real focus will be on Trust and utilising content that ticks all the relevant algorithmic boxes.