Perpetual Learning
Okay, so hear me out… remember when the hottest thing in AI was just having the biggest, most powerful model? Like, everyone was racing to build the next GPT-4 or the ultimate large language model. And yeah, that’s still important, don’t get me wrong. But let’s be real, the game is changing. We’re seeing a … Read more
It feels like just yesterday we were marveling at AI’s ability to write an essay or whip up an image. Now, the conversation is shifting to something even more intriguing: AI that can check its own work. This isn’t science fiction anymore; it’s a core development in how we’re refining advanced AI models, like the … Read more
Okay, so hear me out… we’re building some seriously powerful AI models these days. Large Language Models (LLMs) can write, code, and even brainstorm ideas. But there’s a growing issue that’s kind of a big deal: can we actually get the same results twice? This is what folks in the tech world are calling the … Read more
Okay, so hear me out: we are nowhere near understanding intelligence, let alone creating Artificial General Intelligence (AGI). And honestly, that’s a good thing. It’s easy to get swept up in the hype. Every other headline screams about AI reaching human-level capabilities, or even surpassing them. We see AI generating art, writing code, and even … Read more
It’s a problem we’ve all seen: artificial intelligence systems, despite their incredible capabilities, sometimes just… make things up. They ‘hallucinate,’ producing information that sounds plausible but is entirely false. As someone who’s spent decades in the tech world, I find this fascinating, and frankly, a bit concerning. Today, I want to explore the physics behind … Read more
Okay, so hear me out. We’ve all seen AI do some pretty wild stuff lately. From writing code to passing medical exams, it’s seriously impressive. But as someone knee-deep in AI research, I’ve been thinking a lot about a fundamental question: is this real intelligence, or just a super-fancy simulation of it? Let’s break it … Read more
Okay, so hear me out… We’re all kind of obsessed with making AI bigger and more powerful, right? More data, more compute, more parameters. It feels like the default move. But what if we’re doing it all wrong? Think about it. We’re pouring massive resources into just scaling up current models. It’s like trying to … Read more
Okay, so hear me out… we talk a lot about AI getting exponentially better, right? Like, it’s always just around the corner from becoming superintelligence or something wild. But what if I told you that, in a way, AI has already finished its exponential improvement phase? I know, I know, it sounds wild. We’re seeing … Read more
Hey everyone! Today, I want to dive into something that’s been on my mind lately: the cost of training those massive AI models, the ones that power things like ChatGPT. We all know they’re expensive, but could the very language we’re using – English – be part of the reason why? Think about it. We … Read more
So, you’re an Electrical Engineer (EE) with a solid background in embedded systems, and you’re eyeing the world of AI and Machine Learning (ML). That’s awesome! Lots of EEs are making this transition, and honestly, your skills are super valuable in this space. Let’s break down how your EE expertise fits into AI/ML, especially in … Read more