AI-Lawyers Will Have Fools for Clients
When tech prophets promise everything—except accuracy.Lazy lawyers have no doubt filed hallucinated content orders of magnitude more often.
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Artificial Specific Stupidity is Easy to Find – Just Ask
AI can make mistakes, so double-check it.Large Language Models are good with such queries, because they can process questions that older models were incapable of handling. But they are capable of returning utter nonsense, making up data, making false promises, and more.
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Anti-AI Absolutism
My take on the AI situation v Doug SmithDoug Smith has for some time now been calling attention to destructive effects of digital technologies on people, especially the young.
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Want to Talk to Jesus? Consult a Bot
Is AI changing the way people pray?Whatever one’s views on Christ, a computer system can’t materialize his essence.
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Why Do We Have So Many Live-Action Remakes?
Whether a cartoon or live-action, what we really want is a good storyA couple of days ago, I chanced upon a trailer for the live-action version of How to Train Your Dragon. The original film, based on the book of the same name, premiered in 2010 and follows the heartfelt adventure story of a young Nordic lad, Hiccup, and his friendly dragon Toothless (who does, in fact, have teeth). The original movie got great reviews and remains one of my personal favorite animated films. It has memorable and funny characters, a good storyline, and is well animated. So why do we need a live-action version of the movie? A Loss of Originality Disney led the charge with its realistic remakes with live-action representations of Beauty and the Beast, Lion King, and Cinderella, Read More ›
Study: Writing by Hand is Good for the Brain. What Does that Say About ChatGPT?
Nothing can replace pen and paperIt might be time to get the pens and notebooks back out and shut off the keyboard for a while. Just pretend you’re back in the first grade and don’t have a minicomputer in your back pocket. Writing by hand can help stimulate the whole brain and stave off cognitive decline, according to a study by Van der Weel and Van der Meer (2024), as reported by Pamela B. Rutledge in Psychology Today. Using a more personal note, she writes, I’ve never been one to keep a journal, but I now wonder if the exclusive use of computers and the lack of handwriting practice is doing my brain a disservice by decreasing the activity of cortico-subcortical components of the writing Read More ›
Universities Should Prioritize Critical Thinking Over Large Language Models
It is doubtful that LLMs can generate novel ways to boost productivityNo matter how many words they train on and no matter how many human trainers correct their mistakes, they will continue to lack the critical thinking skills.
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Can We Trust Large Language Models? Depends on How Truthful They Are
Just because a piece of tech is highly sophisticated doesn't mean it's more trustworthyThe trust we put in Large Language Models (LLMs) ought to depend on their truthfulness. So how truthful are LLMs? For many routine queries, they seem accurate enough. What’s the capital of North Dakota? To this query, ChatGPT4 just now gave me the answer Bismarck. That’s right. But what about less routine queries? Recently I was exploring the use of design inferences to detect plagiarism and data falsification. Some big academic misconduct cases had in the last 12 months gotten widespread public attention, not least the plagiarism scandal of Harvard president Claudine Gay and the data falsification scandal of Stanford president Marc Tessier-Lavigne. These scandals were so damaging to these individuals and their institutions that neither is a university president any longer. When I queried Read More ›
Computers Still Do Not “Understand”
Don't be seduced into attributing human traits to computers.Imagine people making decisions that are influenced by an LLM that does not understand the meaning of any of the words it inputs and outputs.
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ChatGPT: You’ve Come a Long Way, Baby
Reviewing the bot's progress (and problems) from over the last yearLLMs still have problems with getting their facts straight but, all things considered, their performance is remarkable.
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Large Language Models are Still Smoke and Mirrors
Incapable of understanding, LLMs are good at giving bloated answers.I recently received an email invitation from Google to try Gemini Pro in Bard. There was an accompanying video demonstration of Bard’s powers, which I didn’t bother watching because of reports that a Gemini promotional video released a few days earlier had been faked. After TED organizer Chris Anderson watched the video, he tweeted, “I can’t stop thinking about the implications of this demo. Surely it’s not crazy to think that sometime next year, a fledgling Gemini 2.0 could attend a board meeting, read the briefing docs, look at the slides, listen to every one’s words, and make intelligent contributions to the issues debated? Now tell me. Wouldn’t that count as AGI?” Legendary software engineer Grady Booch replied, “That demo Read More ›
AI and the Chinese Room Argument
We still haven't cracked the mystery of human intelligence80 years later, we are using the same paradigm, with much faster computers and vast data but we still haven’t cracked the mystery of human intelligence.
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LLMs Are Still Faux Intelligence
Large language models are remarkable but it's a huge mistake to think they're "intelligence" in any meaningful sense of the word.It is wishful thinking to interpret these results and other LLM performances as evidence of logical reasoning.
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If ChatGPT Had Children, Would They Be Geniuses or Blubbering Idiots?
It would seem that when AI begets more AI, the result is nonsense.Blubbering idiocy can be avoided in LLMs by transfusion of fresh information from the creative minds of humans.
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In the Wake of AI Books, What Does Authorship Mean?
While of course it's easy to use AI to generate text, the quality and storytelling are lacking.We all know there are a lot of books out there. Perusing your local used bookstore and you may find hundreds of old romance paperbacks, and somehow most of them managed (at least at one point) to make the New York Times bestsellers’ list. It’s estimated that 500,000 to 1 million books are published each year, and that’s excluding self-published material. The publishing market has become saturated, with the average book selling less than 200 copies. From the advent of the printing press centuries ago to e-books and online publishing, humans alone have managed to generate a mountain of words. But suppose one person could “generate” not just a few books in a lifetime, but hundreds every year? According to Read More ›
A Graph Can Tell a Story—Sometimes It’s an Illusion
Mistakes, chicanery, and "chartjunk" can undermine the usefulness of graphsA picture is said to be worth a thousand words. A graph can be worth a thousand numbers. Graphs are, as Edward Tufte titled his wonderful book, the “visual display of quantitative information.” Graphs should assist our understanding of the data we are using. Graphs can help us identify tendencies, patterns, trends, and relationships. They should display data accurately and encourage viewers to think about the data rather than admire the artwork. Unfortunately, graphs are sometimes marred (intentionally or unintentionally) by a variety of misleading techniques or by what Tufte calls “chartjunk” that obscures rather than illuminates. I have described elsewhere many ways in which mistakes, chicanery, and chartjunk can undermine the usefulness of graphs. I recently saw a novel Read More ›
Learning to Communicate
Why writing skills are so important, especially in today's artificial worldEducators have been shaken by fears that students will use ChatGTP and other large language models (LLMs) to answer questions and write essays. LLMs are indeed astonishing good at finding facts and generating coherent essays — although the alleged facts are sometimes false and the essays are sometimes tedious BS supported by fake references. I am more optimistic than most. I am hopeful that LLMs will be a catalyst for a widespread discussion of our educational goals. What might students learn in schools that will be useful long after they graduate? There are many worthy goals, but critical thinking and communication skills should be high on any list. I’ve written elsewhere about how critical thinking abilities are important for students Read More ›
Text Generators, Education, and Critical Thinking: an Update
The fundamental problem remains that, not knowing what words mean, AI has no critical thinking abilitiesThis past October, I wrote that educational testing was being shaken by the astonishing ability of GPT-3 and other large language models (LLMs) to answer test questions and write articulate essays. I argued that, while LLMs might mimic human conversation, they do not know what words mean. They consequently excel at rote memorization and BS conversation but struggle mightily with assignments that are intended to help students develop their critical thinking abilities, such as Lacking any understanding of semantics, LLMs can do none of this. To illustrate, I asked GPT-3 two questions from a midterm examination I had recently given in an introductory statistics class. Both questions tested students critical thinking skills and GPT-3 bombed both questions. I was hopeful Read More ›