Deep Learning
OpenAI's Atlas Browser Takes Direct Aim at Google Chrome
OpenAI's Atlas Browser Takes Direct Aim at Google Chrome The new ChatGPT-powered web browser is OpenAI's boldest play yet to reinvent how people use the web. OpenAI announced on Tuesday it's rolling out a new internet browser called Atlas that integrates directly with ChatGPT . Atlas includes features like a sidebar window people can use to ask ChatGPT questions about the web pages they visit. "We think that AI represents a rare, once a decade opportunity to rethink what a browser can be about," OpenAI CEO Sam Altman said during a livestream announcing Atlas. "Tabs were great, but we haven't seen a lot of browser innovation since then."
ChatGPT Atlas: OpenAI launches web browser centered around its chatbot
OpenAI's CEO, Sam Altman, testifies on Capitol Hill in Washington DC on 8 May. OpenAI's CEO, Sam Altman, testifies on Capitol Hill in Washington DC on 8 May. Company's AI-powered browser built around marquee bot is designed to provide more personalized web experience OpenAI on Tuesday launched an AI-powered web browser built around its marquee chatbot. The browser is designed to provide a more personalized web experience and includes a ChatGPT sidebar that enables users to asks questions about or engage with various aspects of each website they visit, as demonstrated in a video posted alongside the announcement. Atlas is now available globally on Apple's Mac operating system and will soon be made available on Windows, iOS and Android, according to OpenAI's announcement.
How to Get the Most Out of AI--Without Letting It Think for You
Pillay is an editorial fellow at TIME. Pillay is an editorial fellow at TIME. Every week, over 800 million people use ChatGPT to answer questions, complete tasks, and make decisions. AI systems are being rapidly adopted in schools, universities, and workplaces worldwide. Meanwhile, with billions of dollars being invested in building better systems, the technology itself continues to advance--and the future is set to be weirder than ever.
Forget SEO. Welcome to the World of Generative Engine Optimization
This holiday season, more shoppers are expected to use chatbots to figure out what to buy. This holiday season, rather than searching on Google, more Americans will likely be turning to large language models to find gifts, deals, and sales. Retailers could see up to a 520 percent increase in traffic from chatbots and AI search engines this year compared to 2024, according to a recent shopping report from Adobe . OpenAI is already moving to capitalize on the trend: Last week, the ChatGPT maker announced a major partnership with Walmart that will allow users to buy goods directly within the chat window. As people start relying on chatbots to discover new products, retailers are having to rethink their approach to online marketing.
Meta Poaches Key Google AI Researcher
Upon its release earlier this month, OpenAI's Sora 2 model took the Internet by storm, thanks to its ability to generate realistic videos from just a text prompt. But Sora is about more than just capturing eyeballs with viral content. "On the surface, Sora, for example, does not look like it is AGI-relevant," OpenAI CEO Sam Altman said on a podcast earlier this month. "But I would bet that if we can build really great world models, that will be much more important to AGI than people think." Altman was speaking to a growing belief inside the AI industry at large: that if you can simulate the world with enough accuracy, you could drop AI agents into those simulations. There, they could learn more skills than they currently can from just text, photos, and videos--because they could interact with a simulated world. That form of training could be highly efficient, in part because simulated time can be accelerated, and because many simulations can be run in parallel.
Salesforce's CEO backtracks after saying Trump should send troops into San Francisco
Salesforce's CEO backtracks after saying Trump should send troops into San Francisco In tech this week: The CEO of the city's largest private employer apologizes, Amazon Web Services' outage and OpenAI's Sora makes waves What I'm watching this week: South Park's caricature of Peter Thiel and his obsession with the antichrist . Read our reporting on the show's inspiration: Thiel's bizarre off-the-record lectures on the subject. And now, let's get into things. The co-founder and CEO of Salesforce, said last week that Donald Trump should make good on his threats to send the US national guard into San Francisco, despite resistance from local leaders. Even Marc Benioff's own public relations manager was aghast at his remarks, according to the New York Times .
Bryan Cranston thanks OpenAI for cracking down on Sora 2 deepfakes
Bryan Cranston pictured speaking at a Sag-Aftra strike rally in 2023 in New York. The Breaking Bad actor went to the union with concerns after users of OpenAI's generative video platform Sora 2 were able to generate his likeness without his consent. Bryan Cranston pictured speaking at a Sag-Aftra strike rally in 2023 in New York. The Breaking Bad actor went to the union with concerns after users of OpenAI's generative video platform Sora 2 were able to generate his likeness without his consent. Users of generative AI video app were able to recreate the Breaking Bad actor's likeness without his consent, which OpenAI called'unintentional' Bryan Cranston has said he is "grateful" to OpenAI for cracking down on deepfakes of himself on the company's generative AI video platform Sora 2, after users were able to generate his voice and likeness without his consent.
LLM-Enhanced Black-Litterman Portfolio Optimization
Lee, Youngbin, Kim, Yejin, Kim, Juhyeong, Kim, Suin, Lee, Yongjae
The Black-Litterman model addresses the sensitivity issues of tra- ditional mean-variance optimization by incorporating investor views, but systematically generating these views remains a key challenge. This study proposes and validates a systematic frame- work that translates return forecasts and predictive uncertainty from Large Language Models (LLMs) into the core inputs for the Black-Litterman model: investor views and their confidence lev- els. Through a backtest on S&P 500 constituents, we demonstrate that portfolios driven by top-performing LLMs significantly out- perform traditional baselines in both absolute and risk-adjusted terms. Crucially, our analysis reveals that each LLM exhibits a dis- tinct and consistent investment style which is the primary driver of performance. We found that the selection of an LLM is therefore not a search for a single best forecaster, but a strategic choice of an investment style whose success is contingent on its alignment with the prevailing market regime. The source code and data are available at https://github.com/youngandbin/LLM-BLM.