The Metaverse, a term coined from Neal Stephenson’s 1992 techno-dystopian novel “Snow Crash,” has been a topic of discussion in the tech industry for years. It was envisioned as a new frontier, a virtual reality space where users could interact in a simulated universe. Meta, formerly known as Facebook, aimed to lead this virtual revolution by building a future where work and social interactions could be conducted from anywhere in an immersive 3D world.
It’s 2023, and a war rages on. On one side are businesses and mega-corporations, and on the other are the workers. While everyone argues about the future of work and the benefits of having employees back in the office (even in a hybrid capacity), the world around us is figuratively burning.
Despite inflation peaking in most countries, it remains quite high. In Australia, the CPI rose to 6.8 per cent in March. While this is not as high as the 30-year record set at the end of 2022, when it hit 8.4 per cent, it is still stubbornly high. To put this into context, the Reserve Bank of Australia has a target of 2 to 3 per cent, which we are far from achieving. The current cash rate is 3.8%, combined with a rental crisis and inflated house prices.
Reading the latest update from StackOverflow’s CEO, I can’t help but feel a sense of disconnect. StackOverflow and the broader StackExchange network are facing a tidal wave of change with the rise of AI, and it seems like they’re just treading water.
For many of us, AI tools like ChatGPT have become go-to resources. They’re efficient, user-friendly, and, most importantly, not judgemental. On the other hand, StackOverflow has become notorious for its hostile environment, particularly towards newcomers. It’s as if you need to pass a test of fire to ask a question, and that’s if you’re brave enough to ask in the first place.
When Apple released the M1 chip in 2020, it caused a significant shift in the industry—by abandoning Intel, Apple’s silicon achieved impressive benchmark numbers that widened the gap between Apple and its competitors.
The laptop game was changed again, and Apple was leading the charge.
With the M2 chip, not much has changed since the introduction of the M1. The design of the MacBook Pro and specs are mostly the same, except for a small bump in performance. You still get blistering performance, just a bit faster than the M1. It’s nothing to sing from the hilltops about but nothing to complain about.
Something interesting has happened with the famed GPT-4 model from OpenAI lately, and it’s not just me that has noticed. Many people have been talking about how GPT-4 lately feels broken. Some say it’s nerfed, and others are saying it’s possibly just broken due to resource constraints. There was a discussion recently on Hacker News in this thread which received 739 comments.
All signs indicated that OpenAI had changed something significant with ChatGPT lately and its GPT-4 model. Users reported that questions relating to code problems were producing generic and unhelpful answers.
Designers and developers have had a very long and complicated relationship with Adobe. Over the years, we have seen scrappy upstarts come and take a bite out of Adobe’s lunch: inVision, SketchApp, Figma (which Adobe acquired in 2022) and countless others. Despite numerous attempts, Adobe is still standing.
Here we are in 2023, and another attack wave is being set upon companies like Adobe in the form of generative AI. Tools like DALL-E and Midjourney make generating images easy and even manipulating images without setting forth inside Photoshop. But, Adobe is not taking this lying down.
Let me cut to the chase here – I love this mouse. I mean, I really, really love this mouse. It’s the Logitech MX Master 3S, the latest version of the MX Master series, and let me tell you, Logitech has managed to make an already fantastic mouse even better.
The moment you hold this mouse, you’ll notice how nicely it sits in your hand. It’s like it was made for you. The MX Master series of mice are known for their unrivalled comfort. Gone are the days of aching wrists after long hours in front of the screen. And those buttons? They’re right where you’d naturally rest your fingers, making them easy to access.
Apple is known for introducing innovative products to the market and revolutionising the tech industry, most notably with the iPod and then the iPhone. The latest buzz is about the upcoming Apple augmented reality (AR) glasses being dubbed Apple Glasses. AR technology superimposes digital elements in the real world, creating an interactive and immersive experience.
The idea of AR glasses is not new, but Apple’s entry into the market could be a game-changer if they do it right. The company has a loyal fan base, and its products have a reputation for being high-quality and user-friendly.
Despite the monumental leaps in artificial intelligence (AI) we’ve witnessed in recent years, the prospect of Artificial General Intelligence (AGI)—machines possessing the ability to understand, learn, and perform any intellectual task precisely as a human can—remains a far-off goal. Yes, advancements have been made with tools like GPT-4, Alpha Go, and Gato, contributing to the foundation of AGI. However, these are still considered early examples of AGI and not fully formed AGI systems.
Introduction
In data science and machine learning, cosine similarity is a measure that calculates the cosine of the angle between two vectors. This metric reflects the similarity between the two vectors, and it’s used extensively in areas like text analysis, recommendation systems, and more. This post delves into the intricacies of implementing cosine similarity checks using TypeScript.
Understanding Cosine Similarity and Its Applications in AI
Cosine similarity measures two non-zero vectors of an inner product space. It is defined as the cosine of the angle between them, which is calculated using this formula: