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The Computer World and Its Paradoxes: When Artificial Intelligence Becomes a Nerve-Wracking Phenomenon You're a volunteer programmer spending your free time keeping complex software systems running – and then you receive error reports from an Artificial Intelligence that clearly has a screw loose! It's like asking a guide dog to compete in a car race. Code Chaos: When AI Plays Programmer The developer community is currently experiencing of the first order. Artificial intelligences are producing error reports with the precision of a drunk card player trying to perform brain surgery. And the poor programmers? They have to take these digital grab bags seriously, as if they were scientific treatises. Take Seth Larson from the Python Software Foundation. The man now has to go through error reports as incoherent as a comedian's monologue at 3 AM after the third bottle of wine. An AI generates a supposed security flaw, and suddenly highly qualified developers must waste their ...

The US government, in its infinite wisdom, has decided that AI is too dangerous to fall into the wrong hands. So, they're trying to build a digital wall around it, hoping to keep it away from countries like China. It's a bit like trying to stop a cat from chasing a mouse by putting a fence around the mouse. The cat might find a way to dig under, climb over, or simply wait patiently for the mouse to come to it. AI Export Controls: A Tech War of Bits and Bytes The idea behind these export controls is to prevent China from developing powerful AI systems that could be used for nefarious purposes, like building autonomous weapons or hacking into our power grids. But the problem is that AI is a lot like a genie: once you let it out of the bottle, it's hard to put it back in. You see, AI is built on algorithms and data. Algorithms are like recipes for solving problems, and data is like the ingredients. If you have the recipe and the ingredients, you can cook up a pretty imp...

You are faced with a huge puzzle. Each piece represents a capability of an AI model. How would you find out which model is best? Which puzzle is the most complete? This question is troubling researchers and developers in the field of artificial intelligence - and EUREKA finally provides answers.   EUREKA: A revolution in the evaluation of AI models   The problem with supermodels Large language models such as GPT-4 or DALL-E impress us every day with their capabilities. But how good are they really? Previous evaluation methods often resemble a beauty contest: a winner is chosen, but the finer details remain in the dark.     EUREKA: The X-ray vision for AI This is where EUREKA comes in. This new open source framework revolutionizes the way we evaluate AI models:   In-depth analysis  : Instead of superficial rankings, EUREKA provides detailed insights into the strengths and weaknesses of each model. Challenging benchmarks  : EUREKA-B...

Artificial intelligence models are typically used online, but a variety of freely available tools are changing that. local AIs are trending. AI - Why local models are the future The website histo.fyi is a database of structures of immune system proteins called major histocompatibility complex (MHC) molecules. It contains images, data tables, and amino acid sequences, which uses artificial intelligence (AI) tools called large language models (LLMs) to transform these assets into readable summaries. But he doesn't use ChatGPT or any other web-based LLM. Instead, he runs the AI on his laptop.   In recent years, chatbots based on LLMs have been praised for their ability to write poetry or hold conversations. Some LLMs have hundreds of billions of parameters—the more parameters, the more complex—and are only accessible online. But two recent trends have emerged. First, organizations are creating “open weights” versions of LLMs, where the weights and biases used to train ...