What really matters is…

I don’t recollect where I came across the inspiring note below, but found it really interesting and worth remembering. Since I do not know the source, I can only attribute it to the person who thought of this and wrote it originally and its definitely not me.

It’s not where you started, it’s where you are going that matters!

It’s not when you began, it’s within how much less time you achieved, that matters!

It’s not who you were, but who you have become now that matters!

It’s not what you did in the past, it’s how you can use it that matters!

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AI Is Not a Tool, It Is Cognitive Infrastructure!

There is a quiet ‘category error’ sitting at the centre of much of the AI conversation right now, and it is shaping decisions that will outlive the people making them.

We keep calling AI a tool.

Tools are picked up and put down. Tools sit in a drawer until needed. A hammer does not change what a wall is, what a house means, or how a neighbourhood feels. The framing is comfortable because it puts us in charge: we choose, we wield, we set down. I would argue, though, that it is the wrong frame. It is wrong in the way that calling electricity “a better candle” was wrong in 1890. The artefact is recognisable; the substrate it creates is not.

What we are actually building, and stitching into the daily fabric of work and life, is starting to behave more like cognitive infrastructure. Something that increasingly mediates how we perceive, decide, coordinate, and remember. You do not “use” infrastructure the way you use a tool. You live inside it. The question of who designs it, who maintains it, and who gets to question it becomes a different kind of question entirely. This distinction is not academic. It changes the strategy.

This article on artificial intelligence as a cognitive infrastructure framework is written by Rohit Mahadevu, AI and Digital Transformation Consultant at Texavi Innovative Solutions. Read on…

Building AI-Assisted Community Operations: From Tools to Workflows

The advantage from AI over the coming years will not come from access to tools. Most tools will be accessible to most organisations at roughly equivalent cost. The advantage will come from the quality of the operational infrastructure surrounding those tools: the workflow design, the prompt architecture, the integration quality, and the trust built with the people who need to use the systems every day.

Touch, type and write – All in one!

Do you remember when you first started interacting with a device trying to learn something? Yes, You drew and wrote in your childhood, using slate and pencil. You slowly graduated into using keyboard and mouse, through which you can control the computer. But your experience underwent a significant change and the interaction and manipulation are not direct any more. In comes tap, slide and pinch…Touch phones and tablets, the which took interaction to a new level, eliminating the need for an external device such as mouse, keyboard and pen. But for those who need the best of all worlds, the Tablet PC convertible is here to stay…Now, type, touch,and write all your way! Read the post for a walk through of this transition with real life scenarios and our experiences!

From Prompts to Persistent Systems – The Evolution of AI

Prompt engineering will remain a useful skill. Someone still needs to know how to phrase an instruction clearly and give a model the right context. But it is a component skill, not an organisational strategy. The organisations that get ahead over the coming years won’t be the ones with the best prompts. They’ll be the ones who stopped asking AI to answer the same question every day and instead built something that kept answering it on its own – checking, remembering, escalating, and improving, with a person still firmly in charge of the decisions that matter.

First things first – make it work well

New year 2011 was not all fun for some users of Apple iPhone4, who woke up late, thanks to the defect in the Alarm app. Ditto are the problems for a few Hotmail users whose mail boxes were wiped out and back in 2010, Google Wave became a dud. Why do you think these problems cropped up in the first place? In this blog post, I analyze these and more to identify the root cause. Get a glimpse of FURPS+ model, and a brief touch on ‘Form follows Function’. Read on, to get first things first and how you can make it work for you and many others!

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