Is generative AI the new flavor of the month, or is it the real deal? We look into the dynamics of the VC interest in generative AI startups and draw attention to a niche in the AI field that might turn out to be the dark horse when everything is said and done.

As AI plays a bigger role in our lives, the problems associated with it also get more pronounced. This piece examines three pain points related to AI and suggests a way to tackle them.

If ChatGPT wasn't enough for you to appreciate the capabilities of AI, here are three compelling use cases where AI can deliver the goods without breaking a sweat. Data management and analytics people knew what they were doing all along!

An analysis of four major developments that took place in 2022 and what they might mean for the near future trajectory of the industry.

Is ChatGPT just a shiny new toy to keep us busy for a few days, or does its emergence signify something bigger? We look into what makes ChatGPT better than its predecessors and how it can transform certain fields.

AI technology has failed to take the leap people expected it would. This blog post traces this failure back to a certain bottleneck in the job market and discusses how no-code can help solve it.

Life after Google is a critique of the high priests of Silicon Valley and the direction they have taken the American high-tech industry. Claiming that the current economic model and the way American academia operates are broken, George Gilder touts blockchain as a promising technology with the potential to help people build a different world.

AI pair programming tools are getting mixed reviews from experts. While some laud their capabilities as the harbinger of something great, others think that they are quite far away from making a meaningful change in the coding world. This piece sheds light on the pros and cons of AI pair programming tools, and discusses the ethical concerns surrounding these products.

Using software was the purview of IT professionals until a few decades ago. Not anymore. By the look of things, software development, too, will become a common toil for masses, which will eventually turn software into a commodity. It will be none other than no-code that will be driving this change.