Lifeboat Foundation

One nebulous aspect of the poll, and of many of the headlines about AI we see on a daily basis, is how the technology is defined. What are we referring to when we say “AI”? The term encompasses everything from recommendation algorithms that serve up content on YouTube and Netflix, to large language models like ChatGPT, to models that can design incredibly complex protein architectures, to the Siri assistant built into many iPhones.

IBM’s definition is simple: “a field which combines computer science and robust datasets to enable problem-solving.” Google, meanwhile, defines it as “a set of technologies that enable computers to perform a variety of advanced functions, including the ability to see, understand and translate spoken and written language, analyze data, make recommendations, and more.”

It could be that peoples’ fear and distrust of AI comes partly from a lack of understanding of it, and a stronger focus on unsettling examples than positive ones. The AI that can design complex proteins may help scientists discover stronger vaccines and other drugs, and could do so on a vastly accelerated timeline.

The artificial intelligence chatbot asked the believers in the fully packed St. Paul’s church in the Bavarian town of Fuerth to rise from the pews and praise the Lord.

The ChatGPT chatbot, personified by an avatar of a bearded Black man on a huge screen above the altar, then began preaching to the more than 300 people who had shown up on Friday morning for an experimental Lutheran church service almost entirely generated by AI.

“Dear friends, it is an honor for me to stand here and preach to you as the first artificial intelligence at this year’s convention of Protestants in Germany,” the avatar said with an expressionless face and monotonous voice.

The General Theory of General Intelligence: A Pragmatic Patternist Perspective — paper by Ben Goertzel: https://arxiv.org/abs/2103.15100 Abstract: “A multi-decade exploration into the theoretical foundations of artificial and natural general intelligence, which has been expressed in a series of books and papers and used to guide a series of practical and research-prototype software systems, is reviewed at a moderate level of detail. The review covers underlying philosophies (patternist philosophy of mind, foundational phenomenological and logical ontology), formalizations of the concept of intelligence, and a proposed high level architecture for AGI systems partly driven by these formalizations and philosophies. The implementation of specific cognitive processes such as logical reasoning, program learning, clustering and attention allocation in the context and language of this high level architecture is considered, as is the importance of a common (e.g. typed metagraph based) knowledge representation for enabling “cognitive synergy” between the various processes. The specifics of human-like cognitive architecture are presented as manifestations of these general principles, and key aspects of machine consciousness and machine ethics are also treated in this context. Lessons for practical implementation of advanced AGI in frameworks such as OpenCog Hyperon are briefly considered.“
Talk held at AGI17 — http://agi-conference.org/2017/#AGI17 #AGI #ArtificialIntelligence #Understanding #MachineUnderstanding #CommonSence #ArtificialGeneralIntelligence #PhilMind https://en.wikipedia.org/wiki/Artificial_general_intelligenceMany thanks for tuning in!

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Continue reading “Ben Goertzel — Approaches Towards a General Theory of General AI” »

Summary: A novel artificial intelligence system, the semantic decoder, can translate brain activity into continuous text. The system could revolutionize communication for people unable to speak due to conditions like stroke.

This non-invasive approach uses fMRI scanner data, turning thoughts into text without requiring any surgical implants. While not perfect, this AI system successfully captures the essence of a person’s thoughts half of the time.

Science Fiction author Robert J. Sawyer talks about Oppenheimer and about his Alternate History book: The Oppenheimer Alternative.

Where to find ‘The Oppenheimer Alternative” book?
Robert J. Sawyer’s website: https://sfwriter.com.

Continue reading “Oppenheimer — with Robert J. Sawyer” »

By imbuing enormous vectors with semantic meaning, scientists can get machines to reason more abstractly—and efficiently—than before.

Conversations About AI: Using it to transform the treatment of mental health and for the promotion of social good.

How can AI be used to help human mental health and address the social good? Aryan Pandey, a new guest contributor shows us.

The tool can be used for early diagnosis.

Scientists have conceived of a machine-learning model capable of detecting speech patterns that are linked to a diagnosis of Alzheimer’s or other forms of dementia. The new tool will be used for early evaluation of the conditions.

This is according to a report by Global News published on Saturday…

Continue reading “New machine-learning model can detect dementia in speech” »

US Congress considering two artificial intelligence bills to address concerns surrounding the technology.

As artificial intelligence (AI) continues to experience rapid growth, governments around the world have started to consider modifying policies and regulations around the technology.

US Senators yesterday introduced two separate bipartisan bills addressing AI to tackle issues surrounding the technology and to remain “competitive”, according to Reuters.