Practical AI: Real-World Applications and Considerations

Practical AI: Real-World Applications and Considerations

Artificial intelligence is a polarizing topic. While some hail it as the most impactful development of our time, others remain indifferent, seeing no practical use for it. But what can AI actually do today?

This article examines concrete examples of AI implementation in daily professional and personal life, highlighting areas where it excels and where it still falls short. It delves into the practical applications, potential pitfalls, and broader implications of integrating AI into various aspects of work and leisure.

Automating Mundane Tasks

One surprising application of AI lies in automating repetitive tasks. Consider mandatory workplace training, often delivered as web-based modules with multiple-choice tests. While the content is important, the repetitive nature of these trainings can be tedious, especially for those already familiar with the material.

Tools like Browser Use, an open-source project that leverages AI, can autonomously navigate these trainings. By logging into the browser and providing the necessary API key (ideally using a disposable account and password for security reasons), the AI can complete the training modules and even answer the quizzes. While this raises questions about the continued relevance of such training methods in the age of AI, it also highlights AI's ability to automate tasks that involve understanding and processing textual information.

This leads to the consideration of numerous jobs that involve understanding and processing information in text form, such as filled forms, and applying rules to them. How long will such jobs be done by humans? At the current point of time, this is difficult to prognosticate.

Enhancing Text and Data Handling

While creative output from generative AI might be questionable, AI can significantly improve workflows involving text and data. For example, AI can be used to correct transcripts of audio recordings, adding proper punctuation and formatting. By providing clear instructions and specifying the desired outcome, AI can reliably handle these tasks, freeing up human time for more creative endeavors.

Similarly, AI can assist in visualizing data. By exporting data from spreadsheets and feeding it to AI models, it is possible to generate visually appealing tables, charts, and diagrams. This simplifies the process of data presentation and allows for a more intuitive understanding of complex information. Even assistance with formulas in spreadsheets can be provided. This streamlines workflows and lowers the barrier to entry for users less experienced with spreadsheet software.

AI can also summarize large documents, such as scientific papers, into concise podcasts. While the output language might be limited (e.g., to English), the ability to quickly grasp the key points of a lengthy document can be invaluable. However, it's important to verify the information presented, as AI systems are prone to "hallucinations" and may introduce inaccuracies.

Answering Questions and Providing Insights

AI is increasingly replacing traditional search engines for information retrieval. By asking AI systems direct questions, users can obtain concise and relevant answers without sifting through numerous search results. Systems that can access the internet provide more up-to-date information. Furthermore, AI's ability to understand images opens up new possibilities for identifying objects, animals, and plants.

The ability of AI systems to understand aesthetics and symbolism is particularly fascinating. Asking an AI to analyze an image and provide humorous critiques can reveal unexpected insights into the design and visual elements.

Vibe-Coding: Programming Without Code?

"Vibe-Coding," the concept of generating code by simply describing the desired functionality, is gaining traction. While still in its early stages, vibe-coding holds immense potential for democratizing software development. Although creating a complete JavaScript application without prior coding knowledge is possible, the process can be iterative, time-consuming, and potentially expensive.

Despite the hype surrounding vibe-coding, the technology has limitations. The generated code may contain errors or security vulnerabilities, making it unsuitable for professional use without thorough review. However, the rapid advancements in AI suggest that vibe-coding will continue to improve and potentially transform the software development landscape.

Conclusion: Potential and Limitations

AI is increasingly becoming an integral part of daily life and work. Its ability to automate tasks, enhance data handling, answer questions, and even generate code is undeniable. However, it's important to acknowledge the limitations of AI and to approach its applications with caution. The technology is constantly evolving, and it remains to be seen whether AI will reach a plateau or continue to improve at its current pace. Will all coders loose their job? The future is uncertain, but the impact of AI on the world is undeniable.

Which path do we want to take with AI, and how can we ensure its responsible and beneficial integration into society?

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