Skip to main content

Modern Masters: Steve Jobs

Source: Forbes

Who is he?
Now Late, Jobs was the CEO of Apple computer. He is most noted as the visionary behind the iPod amongst many other innovative products. Read the post for my take on him.


My take: Although people emphasize that he was not a coder or an engineer, which makes him look bad like he was a leech, what people do not see is how much of a visionary Jobs really was.

An iPhone is a beautiful device and the original vision was due to Jobs. Before the iPhone was the iPod which was a really desirable product because of the design and the sheer amount of songs it could store at the time.

What I learned from Jobs is that vision is as important as raw technology in building a product. If you don't have a vision of the kind of thing you want to create, then technology is just tech. To be a visionary you must have the capability of picturing a better world, a world where your product exists, and then you must synchronize all the tech needed to build that product.

A high visionary will even go as far as inventing bits of the technology that are not currently available. I cannot say for sure if Jobs was such a high visionary but he really was a good one.

The difference between a visionary like Jobs and a regular tech CEO is that, while many other tech CEOs blindly trudge the path of innovation, copying what works in other places and building me-too products, Jobs saw a vision of how he wanted the world to be and then created that vision. As a side effect, this visionary process led to solving some problems like music piracy with iTunes.

Comments

Popular posts from this blog

New Information interfaces, the true promise of chatGPT, Bing, Bard, etc.

LLMs like chatGPT are the latest coolest innovation in town. Many people are even speculating with high confidence that these new tools are already Generally intelligent. Well, as with every new hype from self-driving cars based on deeplearning to the current LLMs are AGI, we often tend to miss the importance of these new technologies because we are often engulfed in too much hype which gets investors hyper interested and then lose interest in the whole field of AI when the promises do not pan out. The most important thing about chatGPT and co is that they are showing us a new way to access information. Most of the time we are not interested in going too deep into typical list-based search engine results to get answers and with the abuse of search results using SEO optimizations and the general trend towards too many ads, finding answers online has become a laborious task.  Why people are gobbling up stuff like chatGPT is not really about AGI, but it is about a new and novel way to...

Next Steps Towards Strong Artificial Intelligence

What is Intelligence? Pathways to Synthetic Intelligence If you follow current AI Research then it will be apparent to you that AI research, the deep learning type has stalled! This does not mean that new areas of application for existing techniques are not appearing but that the fundamentals have been solved and things have become pretty standardized.

From data based models to program based models.

 The most successful approach to modern AI has been the data-oriented version. Using statistical learning methods, we have created systems that can recognize, and generate information. While there are numerous benefits to these paradigms as can be seen obviously many new techniques that have become commonplace in daily life, from more accurate recommendation systems to text and image generation systems that make it easier to retrieve human knowledge in a compressed form, these methods are limited in the sense that they depend on human-generated data to be "intelligent". The main issue arises from our understanding of what intelligence requires. Our educational systems have conditioned us to think that intelligence requires the absorption and retrieval of information, and so we have created systems that do these actions to a greater or lesser degree.  If this is what we consider intelligence, then the  LLMs and image generation systems of today are the totality of what tha...