^TagLarge Language Models (LLMs)

^{Type
post

Author
Gary Smith
Date
February 27, 2023

Categorized
Artificial Intelligence

Tagged
Artificial Intelligence, ChatGPT, Consciousness, Gary Smith, intelligence, Large Language Models (LLMs), Understanding}

Let’s Take the “I” Out of AI

_{Large language models, though impressive, are not the solution. They may well be the catalyst for calamity.} _{Gary Smith

February 27, 2023

7

Artificial Intelligence}

When OpenAI’s text generator, ChatGPT, was released to the public this past November, the initial reaction was widespread astonishment. Marc Andreessen described it as, “Pure, absolute, indescribable magic.” Bill Gates said that the creation of ChatGPT was as important as the creation of the internet. Jensen Huang, Nvidia’s CEO, Jensen Huang, said that, “ChatGPT is one of the greatest things ever created in the computing industry.” Conversations with ChatGPT are, indeed, very much like conversations with a super-intelligent human. For many, it seems that the 70-year search for a computer program that could rival or surpass human intelligence has finally paid off. Perhaps we are close to the long-anticipated singularity where computers improve rapidly and autonomously, leaving humans far behind, Read More ›

^{Type
post

Author
Peter Biles
Date
February 24, 2023

Categorized
Artificial Intelligence

Tagged
AI, Artificial Intelligence, Bing, ChatGPT, Google, Kevin Roose, Large Language Models (LLMs), metaverse, Microsoft, New York Times, Search engine, SEO}

The Metaverse was a Bust. Will AI Save the Day?

_{Microsoft is counting on it, investing billions into AI research and development} _{Peter Biles

February 24, 2023

3

Artificial Intelligence}

Just a couple of years ago, the metaverse was taking the tech world captive with grandiose promises of revolutionizing the internet and representing the future of human interaction. Microsoft was among the moguls who embraced the metaverse project with open arms, only to face the harsh fact that the technology was underdeveloped, investors were skeptical of its viability, and a massive swath of the American public seemed simply uninterested in the product. But, it was new technology. It was exciting. It was supposed to be the future. Now, Microsoft is hailing AI as the destiny of the internet, again with the sort of optimism that directed their love affair with virtual reality. The company has jumped the gun and sought Read More ›

Businessman holding a light chatbot hologram intelligence AI. Digital chatbot, chatGPT, robot application.Chat GPT chat with AI Artifice intelligent developers digital technology concept.

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post

Author
Gary Smith and Jeffrey Funk
Date
February 21, 2023

Categorized
Artificial Intelligence

Tagged
AI, Artificial Intelligence, ChatGPT, Gary Smith, Google, GPT-3, LaMDA, Large Language Models (LLMs), Microsoft, OpenAI}

Does New A.I. Live Up to the Hype?

_{Experts are finding ChatGPT and other LLMs unimpressive, but investors aren't getting the memo} _{Gary Smith and Jeffrey Funk

February 21, 2023

7

Artificial Intelligence}

Original article was featured at Salon on February 21st, 2023. On November 30, 2022, OpenAI announced the public release of ChatGPT-3, a large language model (LLM) that can engage in astonishingly human-like conversations and answer an incredible variety of questions. Three weeks later, Google’s management — wary that they had been publicly eclipsed by a competitor in the artificial intelligence technology space — issued a “Code Red” to staff. Google’s core business is its search engine, which currently accounts for 84% of the global search market. Their search engine is so dominant that searching the internet is generically called “googling.” When a user poses a search request, Google’s search engine returns dozens of helpful links along with targeted advertisements based on its knowledge of the Read More ›

Drawings of microbes in antique book with annotations on an abstract language, generative ai illustration

^{Type
post

Author
News
Date
January 24, 2023

Categorized
Artificial Intelligence

Tagged
Academica, AI, ChatGPT, Large Language Models (LLMs), Nature, Paper, science}

ChatGPT Listed as “Co-Author” For Several Scientific Papers

_{Large language models can’t be authors of text because they can’t have responsibility, critics say} _{News

January 24, 2023

2

Artificial Intelligence}

ChatGPT was listed as a contributing author for at least four scientific articles, according to a report from Nature. The news arrives amid a flurry of debate over the place of AI in journalism and artistic and academic disciplines, and now the issue has spread to the scientific community. People are pushing back against the idea of ChatGPT “authoring” text, claiming that because AI cannot take responsibility for what it produces, only humans should be listed as authors. The article notes, The editors-in-chief of Nature and Science told Nature’s news team that ChatGPT doesn’t meet the standard for authorship. “An attribution of authorship carries with it accountability for the work, which cannot be effectively applied to LLMs,” says Magdalena Skipper, editor-in-chief of Nature in London. Authors using Read More ›

Error page template for website. Retro robot with monitor computer head. Warning message on blue screen. macro view copy space

^{Type
post

Author
Jeffrey Funk and Gary Smith
Date
January 16, 2023

Categorized
Artificial Intelligence

Tagged
AI, AI research, Chatbot failings, ChatGPT, computer, Databases, economics, internet, Large Language Models (LLMs), Robots}

Large Language Models Can Entertain but Are They Useful?

_{Humans who value correct responses will need to fact-check everything LLMs generate} _{Jeffrey Funk and Gary Smith

January 16, 2023

7

Artificial Intelligence}

In 1987 economics Nobel Laureate Robert Solow said that the computer age was everywhere—except in productivity data. A similar thing could be said about AI today: It dominates tech news but does not seem to have boosted productivity a whit. In fact, productivity growth has been declining since Solow’s observation. Productivity increased by an average of 2.7% a year from 1948 to 1986, by less than 2% a year from 1987 to 2022. Labor productivity is the amount of goods and services we produce in a given amount of time—output per hour. More productive workers can build more cars, construct more houses, and educate more children. More productive workers can also enjoy more free time. If workers can do in four Read More ›

^{Type
post

Author
Gary Smith
Date
December 26, 2022

Categorized
Artificial Intelligence

Tagged
Blaise Agüera y Arcas, Featured, Google, GPT-3, GPT-3 (Gary Smith's tests), LaMDA, Large Language Models (LLMs), Marvin Minsky, OpenAI, Timnit Gebru}

Chatbots: Still Dumb After All These Years

_{Intelligence is more than statistically appropriate responses} _{Gary Smith

December 26, 2022

7

Artificial Intelligence}

This story, by Pomona College business and investment prof Gary Smith was #6 in 2022 at Mind Matters News in terms of reader numbers. As we approach the New Year, we are rerunning the top ten Mind Matters News stories of 2022, based on reader interest. At any rate: “Chatbots: Still dumb after all these years.” (January 3, 2022) In 1970, Marvin Minsky, recipient of the Turing Award (“the Nobel Prize of Computing”), predicted that within “three to eight years we will have a machine with the general intelligence of an average human being.” Fifty-two years later, we’re still waiting. The fundamental roadblock is that, although computer algorithms are really, really good at identifying statistical patterns, they have no way of Read More ›

Black and white computer keyboard keys close-up. Concept of unstructured big data that need to be sorted ready to be consumed by machine learning model for deep learning.

^{Type
post

Author
Gary Smith
Date
December 19, 2022

Categorized
Artificial Intelligence

Tagged
Andrew Gelman, Artificial General Intelligence (AGI), Ben Kovitz, Blaise Aguera y Arcas, Deep Learning AI energy costs, Featured, Galactica, Galactica writing essays, GPT-3 limitations, GPT-3 methodology, Karelian Bear Dog, LaMDA (claims for understanding), Large Language Models (LLMs), Michael Black, Slavoj Žižek, Werner Herzog, Yann LeCun}

Large Learning Models Are An Unfortunate Detour in AI

_{Gary Smith: Even though LLMs have no way of assessing the truth or falsity of the text they generate, the responses sound convincing} _{Gary Smith

December 19, 2022

9

Artificial Intelligence}

For decades, computer scientists have struggled to construct systems possessing artificial general intelligence (AGI) that rivals the human brain—including the ability to use analogies, take into account context, and understand cause-and-effect. Marvin Minsky (1927–2016) was hardly alone in his overly optimistic 1970 prediction that, “In from three to eight years we will have a machine with the general intelligence of an average human being.” AGI turned out to be immensely more difficult than imagined and researchers turned their attention to bite-size projects that were doable (and profitable). Recently, large language models (LLMs) — most notably OpenAI’s GPT-3 — have fueled a resurgence of hope that AGI is almost here. GPT-3 was trained by breaking 450 gigabytes of text data into Read More ›

Positive girl resting on the couch with robot

^{Type
post

Author
Gary Smith
Date
May 11, 2022

Categorized
Artificial Intelligence, Technocracy

Tagged
Black box algorithms (in decision-making), Blaise Agüera y Arcas, Computer-based decision-making, Gary Smith (on GPT-3), GPT-3 (Gary Smith), LaMDA, Large Language Models (LLMs), Smith test, Turing Test}

Turing Tests Are Terribly Misleading

_{Black box algorithms are now being trusted to approve loans, price insurance, screen job applicants, trade stocks, determine prison sentences, and much more. Is that wise?} _{Gary Smith

May 11, 2022

8

Artificial Intelligence, Technocracy}

In 1950 Alan Turing proposed that the question, “Can machines think?,” be replaced by a test of how well a computer plays the “imitation game.” A man and woman go into separate rooms and respond with typewritten answers to questions that are intended to identify the players, each of whom is trying to persuade the interrogators that they are the other person. Turing proposed that a computer take the part of one of the players and the experiment be deemed a success if the interrogators are no more likely to make a correct identification. There are other versions of the game, some of which were suggested by Turing. The standard Turing test today involves a human and a computer and Read More ›

^{Type
post

Author
Gary Smith
Date
January 3, 2022

Categorized
Artificial Intelligence

Tagged
Blase Aguera y Arcas, Featured, Gary Smith and GPT-3, Google, GPT-3, LaMDA, Large Language Models (LLMs), Marvin Minsky, OpenAI}

Chatbots: Still Dumb After All These Years

_{Intelligence is more than statistically appropriate responses} _{Gary Smith

January 3, 2022

6

Artificial Intelligence}

In 1970, Marvin Minsky, recipient of the Turing Award (“the Nobel Prize of Computing”), predicted that within “three to eight years we will have a machine with the general intelligence of an average human being.” Fifty-two years later, we’re still waiting. The fundamental roadblock is that, although computer algorithms are really, really good at identifying statistical patterns, they have no way of knowing what these patterns mean because they are confined to MathWorld and never experience the real world. As Richard Feynman famously explained, there is a fundamental difference between labeling things and understanding them: [My father] taught me “See that bird? It’s a brown-throated thrush, but in Germany it’s called a halsenflugel, and in Chinese they call it a chung ling and even Read More ›