AI-for-coding tools, as they stand today, are massively overhyped. Big tech wants you to believe we're on the brink of replacing engineers with neural network magic. Spoiler alert – we're not. Not even close.

Sure, GitHub #Copilot, #ChatGPT, Cody, and all the other shiny #LLM-powered toys can spit out code. But let's not confuse autocomplete on steroids with actual engineering.

Let’s be real for a second: #OpenAI built #ChatGPT, arguably the most recognizable AI product ever. It’s partnered with #Microsoft. It’s pushing boundaries with every new model release.

But let’s also be honest: it might never become a $100 billion-a-year revenue juggernaut – and that’s not just some spicy take, it’s grounded in reality.

Artificial Intelligence (AI) systems are remarkable tools for solving complex problems. However, even the most sophisticated algorithms occasionally falter – especially when tasked with nuanced probabilistic reasoning. My recent exchange with #Deepseek illustrates this point.

Let's have a chat about something that's been on my mind lately: #AI winters. If you've never heard the term before, it's a fancy way of saying a period where artificial intelligence (AI) kind of loses its spark. Interest fades, funding dries up, and people start moving on to other things. It's happened before – twice, actually – and there's some chatter that it could happen again.

But why do these AI winters happen? And could we really be on the brink of another one? Let's dig in and figure it out together.

It's not a question of if the bubble will burst – it's a question of when. The fallout could dwarf the dot-com crash. In this post I discuss what could happen and why.

The tech world loves a good buzzword, and right now, #AI (artificial intelligence) and #cryptocurrency are the biggest ones. These technologies promise to change everything – from the way we work to how we handle money. Investors are pouring billions into AI startups and crypto projects, convinced that they’re riding the wave of the future.

But what if it all goes wrong? History has shown us that when bubbles burst, they can leave behind massive damage. Think about the dot-com crash in the early 2000s. At the time, it seemed like the biggest financial disaster in the tech world. But when the AI and crypto bubbles pop, the fallout could be even worse.

Here’s why.