Technology

Galileo’s Leaderboard is trying to show us which AI models are actually good at doing things, not just generating text. The top dogs right now are Google’s Gemini 2.0 Flash and OpenAI’s GPT-4o. They’re ranked using these benchmarks like BFCL and ToolACE that test how well the AI can use tools and APIs to complete tasks.

Why should businesses care? Well, imagine you want an AI to handle customer service, or automate data entry. This leaderboard can help you pick the right model. You gotta think about what you need. Gemini 2.0 Flash is supposedly cheaper, which is great. GPT-4o is high end , but not everyone has that kind of Budget. Mistral, the open-source one, might be a good starting point if you’re on a budget and want to tinker. The filters are really important.

Well, it’s like the whole world is suddenly developing a serious addiction to electricity! The IEA’s saying we’re gonna need a whopping 4% more electricity every year for the next few years. Think about that – that’s a lot of charging cables!

The biggest culprits seem to be data centers, which makes sense considering how much we rely on the internet these days, plus general industrial growth. I mean, factories need power, right? And don’t forget air conditioning! As the planet heats up, everyone’s gonna be cranking up the AC.

What’s really interesting is that while we hear so much about data centers in places like the U.S., most of this growth is actually happening in developing countries. Places like China are really ramping up their manufacturing of things like solar panels, batteries, and electric vehicles, which all take a ton of power. The U.S. is growing too, but not nearly as much as places like China.

The good news is that the IEA seems optimistic that renewable energy and nuclear power will be able to cover almost all of this new demand. That’s a huge relief! Hopefully, we can actually make that happen and avoid just burning more fossil fuels. It sounds like a tall order, though. We gotta get cracking on building those solar farms and wind turbines! It’s a race against the clock!

As I understood it, the system uses radio waves, which, unlike visible light, aren’t easily scattered by small particles like those in smoke. The robot sends out these waves, and they bounce back from objects, and then uses an AI to create a 3D image from that.

Downsides? The spinning array thing is a limitation. The image quality might not be as good as with regular cameras or lidar, and the system needs a lot of processing power. I’m really excited about the benefits it can provide in the long term.

Google is trying to make Gemini feel more like a real person you can chat with. The big change is that Gemini can now “remember” what you’ve talked about before. That means if you tell it something once, you shouldn’t have to keep repeating it in future conversations. It’s like having a better memory, which should make things smoother and more efficient.

It remembers a lot, including your full chat history, unlike previous features that just remembered basic preferences. This means it can summarize entire conversations or pull out specific details you mentioned previously.

Now, the privacy part is super important. Google knows people are concerned about this, so they’re giving you options. You can go into your “My Activity” page in Gemini and decide how long it keeps your chat history – you can even delete specific conversations or turn the whole feature off entirely. Google also says they won’t use your chat history to train their AI models, which is good to know.

As for whether it will make a difference, I think it will. If you use Gemini a lot for tasks that require context (like planning a trip or writing a story), it could save you a lot of time and effort. However, if you only use it for quick, one-off questions, you might not notice the difference as much. Also, It’s only for Google One AI Premium subscribers to start, so that’s something to consider.

I think it’s probably a bit of both rebranding and maybe a slight shift. It’s hard to know for sure without OpenAI being upfront about it.

Companies are definitely feeling the heat around DEI these days. The political landscape is… charged, to say the least. So, scrubbing the language is almost certainly a calculated move to avoid becoming a target. They see companies getting hammered and think, “We don’t want to be next.”

But whether it signifies a deeper change is harder to say. It could be that they’re just being more cautious about how they talk about it, while still genuinely committed to diversity internally. Or, it could be that the pressure is causing them to actually scale back some of their DEI programs.

The fact that they haven’t commented on it makes it even harder to know. Transparency would really help here! I would look at what action they take and see if the work really doing.

Honestly, my gut feeling is that they’re trying to play it safe and maintain the appearance of commitment without explicitly saying the words “diversity, equity, and inclusion.” I’d keep an eye on their hiring practices and internal initiatives to see if anything has actually changed. Follow the money and the actions! That’s where you’ll find the real answer.

I think need to more time for sure.