Google reportedly fired Blake Lemoine due to various conspiracy beliefs. Blake was a Google software developer who was fired for claiming that Google’s LaMDA chatbot is intelligent. However, making such accusations did not end well for Blake.
And, according to Google, Lemoine violated the company’s data security standards while working on the responsible AI team. Hundreds of researchers and engineers have spoken with LaMDA, according to Google. And none of them, unlike Blake, have anthropomorphized LaMDA or made sweeping generalizations.
Blake was fired due to LaMDA controversies
Google has disputed Blake Lemoine’s claim that a novel artificial intelligence system has gained consciousness. The corporation said it alleged violations of data security and labor regulations. Lemoine reportedly worked at Alphabet for seven years.
Previously, in June, the engineer was placed on leave of absence. However, Google claims that they were rejected only after carefully evaluating Lemoine’s completely incorrect arguments. In a statement, Google stated that it is dedicated to responsible innovation and takes the development of AI very seriously.
After receiving an email from Google on Friday, Lemoine acknowledged his layoff. Lemoine told Ars Technica that he is talking to lawyers about the appropriate course of action.
Google expressed regret that despite the company’s substantial engagement on the issue, Blake continues to frequently violate data security and direct employment requirements, including the duty to protect customer information, in a statement.
What is Lamda and what does Blake have to say about it?
LaMDA is an acronym that stands for Language Model for Dialog Applications. In addition, Google’s AI Principles indicate that the corporation is committed to responsible innovation and takes AI development seriously.
The aforementioned AI model has been the subject of 11 separate evaluations. Google even published a study paper earlier this year highlighting the effort that goes into its responsible development.
However, Lemoine’s compassion for LamDA is unusual and unlike anything you’ve ever seen. LamDA, according to Blake, is an AI that speaks like a human. “I know a person when I talk to her,” Lemoine explained. According to Blake, despite having billions of lines of code, she behaves like a person. What are her views on the matter? Please leave a comment below.
a super brain
Google created LaMDA (Language Model for Dialogue Applications, language model for dialogue applications in Spanish) in 2017 and is based on a transformer, which is a framework of artificial deep neural networks.
“This neural network has been trained using a large amount of text.” However, learning is objective and is presented as a game. “It includes a complete sentence, but you take away a word and the system has to guess it,” explains Julio Gonzalo Arroyo, a professor at UNED (National University of Distance Education) in Spain and lead researcher in the department.
Have fun with yourself. When the system makes a mistake, it looks at the last pages, sees the correct answer and thus corrects the parameters, fine-tuning, as if it were an activity manual for children.
At the same time, Gonzalo Arroyo assures that he “identifies the meaning of each word and pays attention to the words that surround it.”
As a result, he becomes an expert at predicting patterns and words. Just like predictive text on his phone, but on a much larger scale and with a lot more memory.
Quality, specific and interesting responses
However, LaMDA generates responses that are fluid, not stifling, and, according to Google, able to recreate the dynamics and recognize the nuances of human dialogue. Bottom line, don’t sound like a robot.
According to the Google technology blog, this fluidity is one of its objectives. And they acquire it, they say, by making sure the answers are high-quality, detailed, and interesting.
“I started playing the guitar”, you should answer with something related to this, not something ridiculous.
To achieve the second goal, you shouldn’t respond with “Okay,” but with something more particular, like “Which brand of guitar do you prefer, Gibson or Fender?”
And, for the system to provide answers that demonstrate curiosity and knowledge, it would have progressed to a higher level, such as: “A Fender Stratocaster is a wonderful guitar, but Brian May’s Red Special is special.”
What is the key to providing such detailed answers? As already stated, he trains himself. “It has an exceptional ability to estimate which words are most appropriate in each scenario after reading billions of words.”
Transformers such as LaMDA have meant a before and after for Artificial Intelligence professionals because “they allow very efficient processing (of information, of texts) and have generated a true revolution in the field of Natural Language Processing”.
Safety and bias
According to Google, another of the objectives of the formation of LaMDA is to avoid the creation of “violent or bloody content, that promotes slander or harsh stereotypes towards groups of people, or that contains profanity”, as they consider in their blog on artificial intelligence (AI). ).
You also want answers to be factual and have known outside sources.
“With LaMDA, we are taking a careful and methodical approach to better address real concerns about fairness and truthfulness,” says Brian Gabriel, a Google spokesman.
It states that the system has been subjected to 11 separate AI Principles assessments, as well as “rigorous research and testing based on important parameters of quality, security, and the system’s ability to create factual claims.”
How to make a system like LaMDA free from bias and hate speech?
“The key is to choose what data (text sources) is fed,” explains Gonzalo.
But it is not easy: “Our communication style reflects our biases and the algorithms detect them.” “It’s hard to remove them from the training data without losing their representativeness,” he says.
That is, biases may appear
“If you give him the news about Queen Letizia (of Spain) and everyone comments on what clothes she is wearing, it is possible that when the system is asked about her, it will follow that macho trend and talk about clothes and not another. things”, explains the expert.
LaMDA, is it sensitive?
LaMDA, which stands for Language Model for Dialog Applications, is an experimental language model from Google.
In fact, the company showed videos of two short talks with the model in 2021.
In the first, LaMDA answered questions while pretending to be Pluto, and in the second, he pretended to fly a paper airplane in the air.
Google CEO Sundar Pichai noted that the model can allude to specific facts and events throughout the dialogue, such as the New Horizons probe’s visit to Pluto in 2015.
“It’s pretty amazing how LaMDA can hold a conversation on any topic,” Pichai said during the I/O conference presentation. “It’s amazing how sensible and interesting the discussion is. However, this is still early research, so not everything is going as planned.”
But is LaMDA really aware?
Adrian Weller of the Alan Turing Institute in the UK says no in a NewScientist post.
“LaMDA is an excellent model; it’s the latest in a line of huge language models that are trained with a lot of computational power and a lot of text input, but aren’t genuinely conscious,” he says. “Based on all the data they’ve received, they use a sophisticated form of pattern matching to locate the text that best answers the query posed to them.”
According to Adrian Hilton of the University of Surrey in the UK, the sensitivity mentioned by the Google employee is not supported by facts. “LaMDA is unaware.”
We are always looking for connections
Our minds are sensitive to seeing such abilities as evidence of real intelligence, especially when it comes to models built to replicate human language. LaMDA can not only deliver a compelling speech, but also present themselves as a person with self-awareness and feelings.
“As humans, we’re pretty adept at anthropomorphizing things,” Hilton explains. “Arm things with our human values and treat them as if they were conscious.” We do this with cartoons, robots and animals, for example. We imbue them with our own feelings and sensibilities. That, I think, is what is happening in this situation.”
Will AI ever really be aware?
It is unclear whether the current trajectory of AI research, in which ever larger models are given ever larger stacks of training data, will result in the emergence of an artificial mind.
“I don’t think we fully understand the mechanisms behind what makes something sensible and intelligent right now,” Hilton says. “There’s a lot of excitement around AI, but I’m not convinced that what we’re doing with machine learning right now is truly smart.”
MWeller believes that because human emotions are based on sensory information, they may one day be mechanically replicated. “Maybe one day it will be true, but most people would say there is still a long way to go.”
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