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Written by Evan
A shocking tragedy in Las Vegas has exposed the alarming potential for artificial intelligence to be used in malicious ways. Just outside the Trump International Hotel, a Tesla Cybertruck erupted in an explosion, claiming one life and injuring seven others. This devastating incident has sparked discussions about the role of AI and its darker implications […]
In the rapidly evolving world of artificial intelligence, large language models (LLMs) have emerged as the powerhouses driving innovation and transformation. These models, trained on vast amounts of data, have the ability to understand, generate, and interact with human language in unprecedented ways. Let’s dive into the latest and most popular LLMs, explore why they
DeepSeek: A Quick Overview DeepSeek is a Chinese AI startup that has recently gained attention for its large language models (LLMs) that are showing impressive performance, particularly in coding tasks. Here’s a breakdown of what we know: How DeepSeek Challenges Existing US-Based AI Models DeepSeek’s entry into the AI arena presents a multifaceted challenge to
A shocking tragedy in Las Vegas has exposed the alarming potential for artificial intelligence to be used in malicious ways. Just outside the Trump International Hotel, a Tesla Cybertruck erupted in an explosion, claiming one life and injuring seven others. This devastating incident has sparked discussions about the role of AI and its darker implications
Tesla isn’t just building electric cars; they’re building an AI empire. From self-driving technology to factory automation and even humanoid robots, Tesla’s strategy hinges on the power of artificial intelligence. But is this ambitious approach paying off, and what does it mean for the future of the company and the tech industry as a whole?
We asked Google’s fairly new AI Studio (which is using Gemini 2.0 Flash Experimental): “If you were to write a blog post about yourself, what would you say?” It is free (at the moment) and one of our favourites. So why not? 😁 Read moreAI in 2025: Moving from Hype to Let’s Get Some Work
As we enter 2025, the landscape of Artificial Intelligence (AI) is undergoing significant changes, characterized by a shift from hype to practical applications and business value. The early excitement around generative AI and Large Language Models (LLMs) is giving way to a more pragmatic approach, focusing on operationalization, observability, and the rise of AI agents.
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