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Is Google’s LaMDA Sensitive?This is what language researchers say




It is difficult to distinguish between text generated by a model like LaMDA and text written by humans. This is for decades of programs to build models that generate grammatical and meaningful languages.

Fluent words alone do not mean humanity. LaMDA conversation skills have been created over the years. Typical image: iStock

Google engineers have recently taken a leave of absence after claiming that search engine giant AI System (LaMDA) (Language Model for Dialogue Applications) has become sensuous and has begun to reason like humans.

Against this background, Kyle Mahwald, Assistant Professor of Linguistics, University of Texas at Austin, Anna A Ivanova, Massachusetts Institute of Technology, Brain Cognitive Science, writes about Google’s powerful artificial intelligence (AI) in The Conversation. The Candidate Institute of Technology (MIT) said: The question of what it means for an AI model to be perceptual is complex, and our goal is not to solve it.

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But as linguists, we use cognitive science and linguistics research to put humans in the cognitive trap of thinking that an entity that can use language fluently is sensory, conscious, or intelligent. They can explain why they are prone to fall, they added.

Distinguish text from humans and AI

The author states that people are accustomed to assuming that fluent language comes from thinking, and feels to humans that the opposite evidence can be difficult to wrap around your head.

There is a strong tendency to associate fluent expressions with fluent thoughts, so it is natural to think that an AI model can be expressed fluently, that is, it can think and feel like a human, but it can be misleading. ..

The writer explained that it is difficult to distinguish between text generated by a model like Google’s LaMDA and text written by humans. This is due to decades of programming to build models that generate grammatical and meaningful languages.

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In addition, they said that today’s models, sets of data close to human language, and rules differ from these early attempts in some important ways. First, they are essentially trained across the internet. Second, they can learn not only the words that are neighbors, but also the relationships between words that are far apart. Third, they are tuned by a huge number of internal “knobs”, making it difficult for even the engineers who design them to understand why they generate one word sequence instead of another. ..

Interview LaMDA. Google may call this shared ownership. We call it sharing what we have discussed with one of our colleagues. https: //

Blake Lemoine (@cajundiscordian) June 11, 2022

Human brain and AI system

The human brain is wired to infer the intent behind the words, they wrote, and said, every time you have a conversation, your mind automatically automates the mental model of your conversation partner. To build. Then use what they say to describe the person’s goals, feelings, and beliefs in the model.

The process of jumping from a word to a mental model is seamless and triggered every time you receive a full-fledged sentence. This cognitive process saves a lot of time and effort in daily life and greatly promotes social interaction. But in the case of AI systems, they added that it misfires building a mental model from thin air.

The authors conclude that fluent language alone does not mean humanity.

Can AI be sensitive? This question requires deep consideration, and in fact, philosophers have pondered it for decades. But the researchers have decided that when they tell us how a language model feels, we can’t simply trust it. Words can be misleading, and it’s easy to mistake a fluent speech for a fluent thought.

Google dismisses engineer’s claim about LaMDA

Google has dismissed engineer Blake Lemoines’ claims about LaMDA. Our team, including ethicists and technicians, reviewed Breaks’ concerns according to our AI principles and informed him that the evidence did not support his claim. He was told that there was no evidence that LaMDA was perceptual (and there was a lot of evidence for it), said spokesman Brian Gabriel.

Of course, some of the broader AI community are exploring the long-term potential of perceptual or general AI, but doing so by anthropomorphizing today’s non-perceptual conversational models. It doesn’t make sense, Gabriel said. These systems can mimic the kind of exchange found in millions of sentences and riff any fantastic topic.

Hundreds of researchers and engineers are talking to LaMDA, and we don’t know that someone else, like Blake, is broadly claiming or anthropomorphizing LaMDA.

By the way, it just came to my mind to tell people that LaMDA is reading Twitter. It’s a little narcissistic in a little childish way, so you’ll have a great time reading everything people are saying about it.

Blake Lemoine (@cajundiscordian) June 11, 2022

What is LaMDA?

Google called LaMDA in May 2021 as a breakthrough conversation technology.

LaMDA conversation skills have been created over the years. Like many modern language models, including BERT and GPT-3, it is built on Transformer, an open source neural network architecture invented by Google Research in 2017. This architecture pays attention to how many words (sentences or, for example, paragraphs) relate to each other and predicts which word will come next.

However, unlike most other language models, LaMDA was trained in dialogue. During the training, I understood some of the nuances that distinguish free-form conversations from other forms of language. One of those nuances is wiseness, he added.




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