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BlenderBot 3, in other words, can cite its sources.īy releasing the chatbot to the general public, Meta wants to collect feedback on the various problems facing large language models. Even more importantly, users can then click on its responses to see where it got its information from. A big feature of the chatbot is that it's capable of searching the internet in order to talk about specific topics. This latter issue is something Meta specifically wants to test with BlenderBot. However, these models also have serious flaws: they regurgitate biases in their training data and often invent answers to users' questions (a big problem if they're going to be useful as digital assistants).
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Such systems have proved to be extremely flexible and have been put to a range of uses, from generating code for programmers to helping authors write their next bestseller. Like all LLMs, BlenderBot is initially trained on vast datasets of text, which it mines for statistical patterns in order to generate language.
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(Though, right now, it seems only residents in the US can do so.) BlenderBot 3 is able to engage in general chitchat, says Meta, but also answer the sort of queries you might ask a digital assistant, "from talking about healthy food recipes to finding child-friendly amenities in the city." The bot is a prototype and built on Meta's previous work with what are known as large language models or LLMS - powerful but flawed text-generation software of which OpenAI's GPT-3 is the most widely known example.
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The Verge reports: The bot is called BlenderBot 3 and can be accessed on the web. Meta's AI research labs have created a new state-of-the-art chatbot and are letting members of the public talk to the system in order to collect feedback on its capabilities. I can also lock legitimate users out when I do, neutralizing or disabling a response,'" Bleeping Computer added. "When asked what can be done after successful exploitation, Pyle said: 'I can easily obtain access to the credentials, certs, devices, exploit the web server, send fake alerts via crafts message, have them valid / pre-empting signals at will. The researcher told Bleeping Computer that "multiple vulnerabilities and issues (confirmed by other researchers) haven't been patched for several years and snowballed into a huge flaw."
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TV and radio stations use the equipment to transmit emergency alerts. Pyle told reporters at CNN and Bleeping Computer that the vulnerabilities reside in the Monroe Electronics R189 One-Net DASDEC EAS, an emergency alert system encoder and decoder. "This exploit was successfully demonstrated by Ken Pyle, a security researcher at, and may be presented as a proof of concept at the upcoming DEFCON 2022 conference in Las Vegas, August 11-14."
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"We recently became aware of certain vulnerabilities in EAS encoder/decoder devices that, if not updated to the most recent software versions, could allow an actor to issue EAS alerts over the host infrastructure (TV, radio, cable network)," the DHS's Federal Emergency Management Agency (FEMA) warned. An anonymous reader quotes a report from Ars Technica: The US Department of Homeland Security is warning of vulnerabilities in the nation's emergency broadcast network that makes it possible for hackers to issue bogus warnings over radio and TV stations.