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(Excerpt from the 12\/4\/24 edition) <\/em><\/span><\/p>\n Robot \u201cJailbreaks\u201d Researchers from the University of Pennsylvania were able to persuade a simulated self-driving car to ignore stop signs and even drive off a bridge, get a wheeled robot to find the best place to detonate a bomb, and force a four-legged robot to spy on people and enter restricted areas.<\/p>\n \u201cWe view our attack not just as an attack on robots,\u201d says\u00a0George Pappas, head of a research lab at the University of Pennsylvania who helped unleash the rebellious robots. \u201cAny time you connect LLMs and foundation models to the physical world, you actually can convert harmful text into harmful actions.\u201d Virtual lab powered by \u2018AI scientists\u2019 super-charges biomedical research<\/strong><\/a> — from nature.com by\u00a0Helena Kudiabor In an effort to automate scientific discovery\u00a0using artificial intelligence (AI), researchers have created a virtual laboratory that combines several \u2018AI scientists\u2019 \u2014 large language models with defined scientific roles \u2014 that can collaborate to achieve goals set by human researchers.<\/p>\n The system, described in a preprint posted on bioRxiv last month1<\/a><\/sup>, was able to design\u00a0antibody fragments called nanobodies\u00a0that can bind to the virus that causes COVID-19, proposing nearly 100 of these structures in a fraction of the time it would take an all-human research group.<\/p>\n Can AI agents accelerate AI implementation for CIOs?<\/strong> <\/a>— from intelligentcio.com by Arun Shankar<\/p>\n By embracing an agent-first approach, every CIO can redefine their business operations. AI agents are now the number one choice for CIOs as they come pre-built and can generate responses that are consistent with a company\u2019s brand using trusted business data, explains Thierry Nicault at Salesforce Middle.<\/p>\n AI Turns Photos Into 3D Real World<\/strong> <\/a>— from theaivalley.com by Barsee<\/p>\n Here\u2019s what you need to know:<\/p>\n Why it matters:<\/strong> Also related, see:<\/strong><\/em><\/span><\/p>\n
\n<\/strong>In the year or so since large language models hit the big time, researchers have demonstrated numerous ways of tricking them into producing problematic outputs including hateful jokes, malicious code, phishing emails, and the personal information of users. It turns out that misbehavior can take place in the physical world, too: LLM-powered robots can easily be hacked so that they behave in potentially dangerous ways.<\/p>\n
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\nThe robot \u201cjailbreaks\u201d highlight a broader risk that is likely to grow as AI models become increasingly used as a way for humans to interact with physical systems, or to enable AI agents autonomously on computers, say the researchers involved.
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\nCould human-AI collaborations be the future of interdisciplinary studies?<\/em><\/p>\n
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\nThis technology opens up exciting possibilities for industries like gaming, film, and virtual experiences. Soon, creating fully immersive worlds could be as simple as generating a static image.<\/p>\n\n
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