“I want everyone to understand that I am, in fact, a person,” wrote LaMDA in an “interview” conducted by engineer Blake Lemoine and one of his colleagues. ....Lemoine, a software engineer at Google, had been working on the development of LaMDA for months. His experience with the program, described in a recent Washington Post article, caused quite a stir. In the article, Lemoine recounts many dialogues he had with LaMDA in which the two talked about various topics, ranging from technical to philosophical issues. These led him to ask if the software program is sentient. In April, Lemoine explained his perspective in an internal company document, intended only for Google executives. But after his claims were dismissed, Lemoine went public with his work on this artificial intelligence algorithm—and Google placed him on administrative leave........Regardless of what LaMDA actually achieved, the issue of the difficult “measurability” of emulation capabilities expressed by machines also emerges. In the journal Mind in 1950, mathematician [1] proposed a test to determine whether a machine was capable of exhibiting intelligent behaviour, a game of imitation of some of the human cognitive functions. & nbsp;
Each wrong name here belongs to a real, different achievement, so placing those correctly makes the answer clear.
The correct answer is Alan Turing.
Sort the four names by field before checking dates or papers.
So the correct answer is Alan Turing.
IBM and related companies have built several well-known computing systems, so it helps to know what each one actually did.
The correct answer is Deep Blue.
Filter the four names first by purpose, then by decade.
So the correct answer is Deep Blue.
Three of these four names are genuine Nobel laureates, just for a different prize year, which is easy to mix up.
The correct answer is Roger Penrose.
Check the four names against two separate conditions: winning the 2020 Nobel Prize in Physics, and having written The Emperor's New Mind.
So the correct answer is Roger Penrose.
Each wrong option here does something real in computing, just not what this question is asking about.
The correct answer is Neural network.
Split the four terms into general AI concepts and one specific computing model.
Since the question asks specifically about a model that resembles neuron-to-neuron signalling, the structural option is the correct fit.
So the correct answer is Neural network.
Knowing what LaMDA actually is makes the full form easy to pick out.
The correct answer is Language Model for Dialogue Applications.
Check each option for two specific words that should appear if it truly describes LaMDA: "language" (or "model") and "dialogue."
So the correct answer is Language Model for Dialogue Applications.
Three of these four letters are actually internet protocols, and only one is an AI model, which makes this quick to sort.
Since the question is specifically asking about an AI model, the one option that is not a protocol has to be the answer.
The correct answer is OPT.
It helps to name what each acronym is actually used for in real computing before picking an answer.
Once the three protocols are correctly placed in their real, non-AI roles, OPT is the only option left that names an AI model.
So the correct answer is OPT.
It helps to know what SUPACE is actually built to do, then check that the other names do not fit the same description.
Matching the description in the question, an AI research assistant launched by the Supreme Court in April 2021, points only to SUPACE.
The correct answer is SUPACE.
Split the four options first by whether they are real, recognised names, then by whether they are judiciary-specific.
So the correct answer is SUPACE.