OpenAI CEO Sam Altman once spent millions to fund a massive study of UBI. In the age of AI, cash payments aren’t the best answer.
The security of modern communications heavily relies on systems that can rapidly and reliably verify users and the devices they are using. This process, known as authentication, essentially entails confirming that users or devices are legitimate (i.e., who or what they claim to be).
Conventional authentication systems rely on static cryptographic keys, fixed digital keys that allow encryption algorithms to scramble readable data into unreadable texts or vice versa. While these systems perform well in some contexts, they often struggle when networks include billions of devices that continuously connect and disconnect.
Researchers at King Abdullah University of Science and Technology (KAUST) recently developed a new system that could authenticate devices faster and more reliably in real time, even when they are connecting to large-scale networks, cloud services or virtual environments.
SUTD researchers have developed a reinforcement-learning-based safety system that teaches a stair-traversing service robot to brace itself mid-fall, addressing one of the biggest barriers to deploying autonomous robots on staircases.
Staircases are among the most challenging terrains a mobile robot can face. A multi-year field study found that robots designed for stair traversal fail at least 35 times more often on stairs than on level ground. The consequences can be significant. A robot that loses balance on a step accumulates momentum as it tumbles, threatening severe damage to itself, the building, and anyone in its path.
The paper is published in the journal Results in Engineering.
Artificial intelligence chatbots need to work on their social judgment, recent events suggest. At one end of the spectrum, they’re facing lawsuits for recommending dangerous actions. At the other end, the models can be so nice they’re considered sycophantic.
The problem could get worse as AI bots work more with humans, such as handling customer complaints, says Yan Leng, assistant professor of information, risk, and operations management at the McCombs School of Business at The University of Texas at Austin.
But help may be on the way. In new research, Leng has devised a sort of personality test—more precisely, a behavioral audit —for large language models (LLMs), the technology that drives products such as ChatGPT. The paper is published in the journal Information Systems Research.
Threat actors are abusing ChatGPT’s content-sharing feature to display fake OpenAI outage pages that direct users to download malware disguised as the ChatGPT desktop application.
The “LLMShare” campaign, discovered by Push Security, uses Google ads to direct users searching for ChatGPT to a malicious shared ChatGPT page hosted on chatgpt.com, allowing the attack to be delivered through a legitimate OpenAI domain.
Users who click the advertisement are taken to a legitimate ChatGPT shared page, but instead of seeing a chat conversation, they are presented with a rendered outage notice claiming the web version is unavailable and that they should download the desktop application instead.
Ilya Sutskever, co-founder of OpenAI and founder of Safe Superintelligence, says the scaling era from 2020 to 2025 is over, that pre-training will run out of data, and that the industry is back to pure research with more companies than ideas. He argues that AGI is the wrong target what is actually coming is a learning algorithm that can take any job, learn it on the fly, and merge that knowledge across millions of simultaneous instances in a way humans cannot, producing rapid economic growth that regulation is unlikely to stop.
He predicts that once AI becomes visibly powerful, frontier companies will become paranoid overnight and governments will scramble, and says the only thing worth building is an AI aligned to sentient life broadly — not human life alone — because the AI itself will be sentient and will vastly outnumber humans within 5 to 20 years.
📚 Sources cited in this video:
Safe Superintelligence Inc. – Company Overview https://ssi.inc.
OpenAI, Founding Charter and Mission https://openai.com/charter.
Ilya Sutskever, Google Scholar – Research Publications https://scholar.google.com/citations?…
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