In the midst of recent fearmongering around AI and the future, I've still managed to come across conversations that are fun and comical to read through. We've long-talked about AI reaching general

There are lots of different ways to approach this topic as there are many areas of concerns to cover. But I've chosen to discuss from the angle of “If open source succeeds at consistently matching private

Every time someone says AI is shit, I imagine they are equally shit. Believe it or not, AI is a mirror. If there are limitations to your understanding or knowledge of a topic, those gaps will be reflected

AI models are getting better at creating content and humans are getting better at asking them to create more content and in some cases, agents are creating content and publishing without human edits or

This one is a bit of an old news, nearly two weeks past now but I wanted to discuss it regardless because I just bumped into it on an anti-ai subreddit. Before I quote the report, the reason for this post

I've leaned into AI for a while now and it seems like crypto has become a topic of the past and it's hard to blame myself for that because AI has been what almost everyone talks about these days. For a

China on Monday pushed back on calls by U.S. AI executives for companies to slow down the development of the cutting-edge technology. "Fear mongering, confrontation, competition will just disrupt

Occasionally, people talk about how X would make you feel like you're so backward when it comes to understanding and leveraging AI tech out there but when you step outside, you realize that a lot of people

Discussing something so close to talking about regular business practices isn't exactly my forte but I wanted to regardless because, well, it helps me explore the unintended effects of AI. You see something

The thing about true optimists is that they are not delusional. Even when they hold on to the optimism of the best or most positive results, they can often always acknowledge the risks of the opposite

AI can give almost anyone access to knowledge, strategies, frameworks, and expertise. The differentiator is increasingly what someone actually does with that knowledge. Before, knowing how to do something

Businesses are quickly coming to realize that the operations landscape has changed and what it takes to capture significant market share just became harder. It is the volume problem, you make it significantly

In short: the absence of networks Consumers do one thing, they consume, that's it. And guess what, only one thing keeps them coming back and that's networks or shared relationships. But this isn't exactly

This is a topic that's come up frequently over the years and just some days ago, I came across an X post about it. I cannot completely recall the details but I can say that the conclusion was that information

We were quite certain that prompt engineering was going to be the next high-paying skill because of the emergence of AI and its potential to disrupt many industries. Your employer was almost certainly

Maor Shlomo built an AI app-building company from essentially nothing and sold it to Wix for $80 million after roughly six months. It was bootstrapped, had no VC funding, and at the time had fewer than

So I opened the X app some minutes ago and was flooded with reports of AGI being achieved by OpenAI. Apparently, Jensen Huang, the CEO of Nvidia, is the man behind this new wave of reports of artificial

I think it's interesting how we've gone from discussing how AI will take jobs, to how it will be a coworker. Of course, a lot of people still make strong arguments for AI taking jobs, and I'm not here

The wildcard: Google If we're asking “Who has the best chance of eventually winning?”, rather than “who has the best model today?” I might actually choose Google DeepMind. The above text is a response

Not to state the obvious but I think most people would agree that figuring out the best AI monetization path is the leading concern of most companies in current times. From those building the AI to those