ChatGPT was used'to help scammers do their thing' at Asia fraud compound ChatGPT owner OpenAI says it actively works to identify and disrupt scam-related misuse of ChatGPT." Duncan Okindo says he was lured to Southeast Asia last year by the promise of a customer service job in Thailand. Instead, he ended up spending four months in a scam compound on the lawless Myanmar-Thai border, where he saw first-hand how criminal groups are at scale. Okindo, 26, says he was struggling to find a job as the breadwinner for his family in his native Kenya when a local recruitment agency promised him work in Bangkok. The flight was his first trip overseas. On landing, he says, he was abducted at the airport and spirited across the border, into the notorious KK Park complex, guarded by heavily armed men and fortified like it was meant for war."

The main contributions are: (a) a new algorithm, inspired by UCRL\gamma for the discounted setting (b) a theoretical analysis showing that the new algorithm enjoys sample-complexity guarantees that scale optimally with the horizon, the accuracy and the confidence. The result is sub-optimal only with respect to the size of the state/space, where it scales potentially quadratically while known lower bounds are linear in the state-space.

It's been hard recently to think about anything other than the wars and humanitarian crises raging around the world. Climate change has left its mark in what was almost certainly the hottest year in human history--there were unprecedented heat waves, intensified forest fires, torrential rain, and floods like those in Libya that caused devastation after two dams burst. But this has not stopped scientists, innovators, and decisionmakers from working on solutions to our biggest societal challenges--with success. Here is a collection of uplifting news to come out of 2023. In an instant, millions of volts can damage buildings, spark fires, and harm people--unless the lightning can be redirected.

One of the world's most advanced human-like robots discusses whether AI will outsmart humans.

Twitter CEO Elon Musk provides insight on the consequences of developing artificial intelligence and the potential impact on elections on'Tucker Carlson Tonight.' Twitter CEO and tech billionaire Elon Musk told Tucker Carlson that AI will likely have a "significant influence" on future elections, and called on the U.S. government to establish some level of oversight to sensibly regulate the rapidly emerging technology. The Tesla and SpaceX CEO, who has been outspoken about his concerns with AI and the dangers associated with it, said earlier in his conversation with Carlson that he fears AI could lead to "civilizational destruction" if mismanaged. Asked how he thinks the new technology will impact democracy in the future, Musk told Carlson, "Well, that's why I raised the concern of AI being a significant influence in elections. "Even if you say that AI doesn't have agency, well it's very likely that people will use the AI as a tool in elections. And then, you know, if AI's smart enough, are they using the tool or is the tool using them?

The world is changing at an unprecedented rate and most of these changes can be attributed to the rapid technological progress being made by humans. Progress in the fields of Artificial Intelligence and Machine Learning has been crucial for making our lives more convenient and better. In order to keep up with this technological progress, the Indian government has increased its investment in Digital India to boost Artificial Intelligence, big data, IoT, machine learning, robotics, and cybersecurity. This has made it lucrative for investors and analysts to look toward the top AI stocks in India for investments. Artificial Intelligence is a system that is capable of performing tasks much faster and with greater accuracy without human intervention.

The widespread public deployment of large language models (LLMs) in recent months has prompted a wave of new attention and engagement from advocates, policymakers, and scholars from many fields. This attention is a timely response to the many urgent questions that this technology raises, but it can sometimes miss important considerations. This paper surveys the evidence for eight potentially surprising such points: 1. LLMs predictably get more capable with increasing investment, even without targeted innovation. 2. Many important LLM behaviors emerge unpredictably as a byproduct of increasing investment. 3. LLMs often appear to learn and use representations of the outside world. 4. There are no reliable techniques for steering the behavior of LLMs. 5. Experts are not yet able to interpret the inner workings of LLMs. 6. Human performance on a task isn't an upper bound on LLM performance. 7. LLMs need not express the values of their creators nor the values encoded in web text. 8. Brief interactions with LLMs are often misleading.

Artificial Intelligence (AI) is not a new concept. The term was coined in 1956 by John McCarthy and Marvin Minsky, who defined it as "the science and engineering of making intelligent machines." Since then, AI has made tremendous advances, and we're still seeing even more growth today. Fortune Business Insights projects the global AI market will grow from $387 billion in 2022 to $1.4 billion by 2029. The movie iRobot was set in 2035 and told the story of a future where highly intelligent robots fill public service positions. Unfortunately, the robots in this movie turned out to be a more significant threat to humanity than expected.

The escalated growth of the Internet of Things (IoT) has started to reform and reshape our lives. The deployment of a large number of objects adhered to the internet has unlocked the vision of the smart world around us, thereby paving a road towards automation and humongous data generation and collection. This automation and continuous explosion of personal and professional information to the digital world provides a potent ground to the adversaries to perform numerous cyber-attacks, thus making security in IoT a sizeable concern. Hence, timely detection and prevention of such threats are pre-requisites to prevent serious consequences. The survey conducted provides a brief insight into the technology with prime attention towards the various attacks and anomalies and their detection based on the intelligent intrusion detection system (IDS). The comprehensive look-over presented in this paper provides an in-depth analysis and assessment of diverse machine learning and deep learning-based network intrusion detection system (NIDS). Additionally, a case study of healthcare in IoT is presented. The study depicts the architecture, security, and privacy issues and application of learning paradigms in this sector. The research assessment is finally concluded by listing the results derived from the literature. Additionally, the paper discusses numerous research challenges to allow further rectifications in the approaches to deal with unusual complications.

The term artificial intelligence (AI) refers to computing systems that perform tasks normally considered within the realm of human decision making. These software-driven systems and intelligent agents incorporate advanced data analytics and Big Data applications. AI systems leverage this knowledge repository to make decisions and take actions that approximate cognitive functions, including learning and problem solving. AI, which was introduced as an area of science in the mid 1950s, has evolved rapidly in recent years. It has become a valuable and essential tool for orchestrating digital technologies and managing business operations.