The world's top chess player defeated ChatGPT in an online match in only 53 moves. Magnus Carlsen won the game without losing a single piece, while ChatGPT lost all its pawns, screenshots the Norwegian grandmaster shared on X on July 10 showed. "I sometimes get bored while travelling," Carlsen captioned the post. "That was methodical, clean, and sharp. Well played!" ChatGPT said to him, according to the screenshots Carlsen posted.

Aligning large language models (LLMs) with human preferences usually requires fine-tuning methods such as RLHF and DPO. These methods directly optimize the model parameters, so they cannot be used in test-time to improve model performance, nor are they applicable when the model weights are not accessible. In contrast, test-time methods sidestep weight updates by leveraging reward functions to guide and improve output quality. However, they incur high inference costs, and their one-shot guidance is often based on imperfect reward or value functions, leading to suboptimal outputs. In this work, we present a method named Iterative Reweight-then-Optimize (IRO), a reinforcement learning (RL) framework that performs RL-style alignment of the (frozen) base model without touching its parameters. During training, each iteration (i) samples candidates from the base model, (ii) resamples using current value functions, and (iii) trains a new lightweight value function that guides the next decoding pass. At test time, the value functions are used to guide the base model generation via a search-based optimization process. Notably, users can apply IRO to align a model on their own dataset, similar to OpenAI's reinforcement fine-tuning (RFT), but without requiring access to the model weights.

Earlier this month, a woman in San Francisco was hit by a car while crossing the street. Had the story ended there, it would have been just another one of the small tragedies that occur on America's roads, where roughly 100 people die every day. She was hit again, this time by a robotaxi from the start-up Cruise. The car braked, coming to a stop with her pinned underneath. Then it started driving again, dragging the woman along with it for an agonizing 20 more feet.

Fox News' Alexis McAdams reports on New York City giving out the free Apple devices in an attempt to curb car thefts and carjackings. Stop spinning your search engine wheels and discover the ultimate tips to search smarter, not harder, and find what you're really looking for. CLICK TO GET KURT'S FREE CYBERGUY NEWSLETTER WITH QUICK TIPS, TECH REVIEWS, SECURITY ALERTS AND EASY HOW-TO'S TO MAKE YOU SMARTER We all know how overwhelming it can be when you're on the hunt for a specific search result, yet instead you get hundreds, if not thousands, of useless results. Don't worry; I've got a handy trick for making your searches more specific and efficient. First, let's start with the basics.

OpenAI, the research company that has caused writing teachers to collectively lose their shit through the development of their ChatGPT tool, declares that its mission is to "ensure that artificial general intelligence benefits all of humanity." ChatGPT is an AI language model developed by OpenAI, which is capable of generating human-like text based on the input it is given. The model is trained on a large corpus of text data and can generate responses to questions, summarize long texts, write stories and much more. It is often used in conversational AI applications to simulate a human-like conversation with users. As educators, our alarm bells ought to be going off–and not for the most commonly expressed reasons (e.g., many students will use ChatGPT or other, similar tools to cheat; the way we teach writing might need to be completely reimagined).

Artificial intelligence (AI) and automation are rapidly changing the way we work and live, and it's no surprise that many are wondering how these technologies will affect employment opportunities. As machines take on more tasks traditionally performed by humans, it's natural to ask what the future of work will look like. One potential impact of AI and automation on the workforce is job displacement. Some experts estimate that up to 50% of all jobs could be automated in the next decade or two. While this may seem alarming, it's important to remember that this process has been happening for centuries and has often led to the creation of new and more advanced jobs.

Last week, after seeing artsy portraits popping up all over her social media feeds, Christal Luster signed up for a free trial of a photo-editing app called Lensa. She uploaded 10 of her headshots to it and paid $5.99 for 100 new images based on her inputs, which an artificial-intelligence tool produced in under an hour. Ms. Luster, an actress in Chicago, said the images opened her eyes to the types of characters she could portray. "There was one of them where I was like, 'Oh I could totally see myself playing in'Bridgerton.' I could learn to speak with a British accent. I could do period pieces," she said.

AI art tools are changing the idea of creativity and getting whackier every week. In a span of just a few years, AI art generators have gone from creating incomprehensible pictures to realistic content. Researchers at Meta AI just took a leap into generating art through prompts. The company on Thursday announced Make-A-Video, a new AI system that turns text prompts into brief, soundless video clips. We're pleased to introduce Make-A-Video, our latest in #GenerativeAI research! With just a few words, this state-of-the-art AI system generates high-quality videos from text prompts.

In Artificial Intelligence, we usually train a large network of smaller "nodes" (hence the name neural networks) by looking at some sample of the real-world data. These smaller nodes take micro-decisions which in turn affect the micro-decisions of other nodes and so on till it affects the decision of the whole network. There are several algorithms to make this network training better. One of them is called Dropout. Below are some life lessons from Dropout I have personally learnt.

As AI and robotics continue to advance, there are concerns that machines could soon replace humans in a wide range of occupations. Now there's a new way to tell how likely your job is to be taken over by robots or AI, and what job to shift to if you are at risk. Industrial robots have been a fixture on manufacturing lines for decades, but they have generally been dumb and dangerous, incapable of operating outside of highly controlled environments and liable to injure human workers unless safely caged. Advances in AI are starting to change that though, with more nimble and aware robots starting to move from factories and warehouses into storefronts and restaurants. Social distancing requirements due to the Covid-19 pandemic have only accelerated this trend, fueling anxiety that an increasing number of human workers may end up getting displaced by robots.