AI 업계의 최신 소식을 빠르게 확인하세요.
This article is part of our exclusive IEEE Journal Watch series in partnership with IEEE Xplore. A few years ago, humans were clearly superior to machine learning algorithms in tasks such as language translation. But now, these once distinct lines dividing capabilities are becoming blurred.
Moltbook, the first social network for generative AI agents, went live on 28 January, and quickly exploded in popularity. Designed in the style of Reddit, Moltbook is a place AI agents can post new topics, respond, and upvote or downvote posts autonomously.
Anton Cherepanov is always on the lookout for something interesting. And in late August last year, he spotted just that. It was a file uploaded to VirusTotal, a site cybersecurity researchers like him use to analyze submissions for potential viruses and other types of malicious software, often...
MIT Technology Review’s What’s Next series looks across industries, trends, and technologies to give you a first look at the future. You can read the rest of them here. The past year has marked a turning point for Chinese AI.
OpenEnv in Practice: Evaluating Tool-Using Agents in Real-World Environments
ClickFix bait, combined with advanced Castleloader malware, is installing Lumma "at scale."
Zoë Hitzig resigned on the same day OpenAI began testing ads in its chatbot.
AI agents are a risky business. Even when stuck inside the chatbox window, LLMs will make mistakes and behave badly. Once they have tools that they can use to interact with the outside world, such as web browsers and email addresses, the consequences of those mistakes become far more serious.
For a different perspective on AI companions, see our Q&A with Jaime Banks: How Do You Define an AI Companion? Novel technology is often a doubleedged sword. New capabilities come with new risks, and artificial intelligence is certainly no exception.
In September, Alfred Stephen, a freelance software developer in Singapore, purchased a ChatGPT Plus subscription, which costs $20 a month and offers more access to advanced models, to speed up his work. But he grew frustrated with the chatbot’s coding abilities and its gushing, meandering replies.
Research papers point to the growing impact of Deep Think across fields
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