Let's talk about AI
Let's talk about AI. It's been an "in" word for these two years (2023-2024). Telling ChatGPT about the weather, it will answer you about the weather, in written form. Or in the latest update, it can answer in format you want; either words or pictures and images. Tell it draw a man fishing on a lake, it will draw a picture. Tell it to optimise your resume, it will suggest corrections and power words to add.
People say it will revolutionise how we work and how we gain information since the dotnet or search engine innovations. In terms of workflow, yes. In terms of technology, it's more complicated than asking the ChatGPT to draw Monalisa ala Picasso.
The essence of AI, or artificial intelligence as the full name, suggesting machine or computer to make decisions based on parameters given in an environment. it is a long-term research from 1950s to 2010s before we get the commercial success of ChatGPT from OpenAI.
Before ChatGPT was public, there was ASIMO project, autonomous driving projects, Yahoo! vs Google, and let's not forget – this very own platform and social media timeline algorithm. These are all decisions made by machines, computers, microprocessors working together. But ChatGPT made it public access, mass adopted, and many people able to experiment with the AI.
And not to forget, ChatGPT can understand almost natural human language; something Google already improved during last 10 years. Now, we can put query like "what is the difference between soup and stew", and it will process our input to show article clips, relevant webpages with "soup" and "stew", or one of those keywords; instead of showing no result at all because our long query doesn't match any searchable webpages.
In the wake of AI solutions, let's not forget there are some solutions rebranding as AI. Because the solutions depend on the dataset training size, and input parameters to be solved, and of course – backend infrastructure. If we dig back to our smartphone advertisement, they already use AI around mid-2010s! To small business owners, I suggest being choosy about your "AI" expenses and investments. Together with Ringgit Malaysia currency, software are expensive!
Remember that ChatGPT or other generative AI cannot replace developers and programmers to build stable apps for millions of users. No...! But it can help us to suggests efficient spreadsheet formulae, summarise difference between Teams and Slack, and optimise resume to our dream job!
Don't worry, it does help a lot. Saving hours or days in unproductive or zero-output works. Will it replace human jobs? For me, not yet. Plus, even Jensen Huang, the CEO of Nvidia said the technology gap between real world problem solvers and programmers is virtually closed. AI will be tools for farmers to optimise resource planning, logistic professionals make more efficient goods transit. And, we already had a few drugs optimisation model for medical treatments!
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And for that, I look forward to the future, where we can make AI more interesting for human.
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