Grieftech poses genuine problems when avatars seem to keep the deceased unchanged in a changing world — or change just when we want them to.
Read More ›
Marks points out that model collapse means that AI can’t simply keep getting better by training itself until it becomes a superintelligence.
Read More ›
Before AI companies buy up all remaining physical copies of older, rare, out-of-print, obscure, or nearly forgotten books, we can buy our own copies.
Read More ›
AI companies are using physical books to train them for their large language models since these texts aren’t already ridden with AI-generated writing.
Read More ›
We don’t come to Bible.Hub.com for ultra-processed word sausage, no matter how plausible sounding the words may be.
Read More ›
Reading for entertainment alone will become increasingly rare. I expect we will return to a culture where people who read are mainly looking for new ideas.
Read More ›
The LLMs’ hallucinations could end up getting them severely restricted in Europe, depending on the outcome of a recent legal challenge for defamation.
Read More ›
LLMs’ impressive outputs demonstrate the effectiveness of the algorithms; they do not demonstrate that the AI has invented new computational methods.
Read More ›
The inventions that changed our lives for the better were usually accompanied by speculation bubbles and busts. LLM firms will likely attract the same fate.
Read More ›
Automated writing leads to a decline in intellectual skills for the same reasons as automated walking would lead to a decline in motor skills.
Read More ›
Even though the users knew they were interacting with a computer, many were convinced that the program had human-like intelligence and emotions and they happily shared their deepest feelings and most closely held secrets.
Read More ›
Post-training might stabilize the responses to specific inquiries but then the bot can just go off the rails again, as my tests showed.
Read More ›
The data deluge exponentially increases the number of coincidental, useless statistical patterns — so the probability of useful patterns approaches zero.
Read More ›
Big Tech’s signature exploitative strategies optimize for engagement, not for truth. By manipulating our behavioural psychology in this way, chatbots become top of mind when we have a question about anything, or just need a friend.
Read More ›
Have we become so accustomed to surveillance capitalism that we are completely blinded to the implications? Or has Big Tech become so trustworthy that we can trust them to handle the data of student brain states with benevolent intent?
Read More ›
OpenAI needs to show that ChatGPT is more than just the first publicly available LLM. It has not done that and maybe never will.
Read More ›
Dr. Dembski wants us to use technology with wisdom. I share his broader goal, but not the use of generative AI chatbots to get there.
Read More ›
When you prompt an LLM, the entire conversation acts as a prompt driving the reply. Thus your prompt can push the LLM in unforeseen, unintended directions.
Read More ›
Recently, talk of a bubble has increased as it has become clear that OpenAI, and likely other AI software companies, may never become profitable.
Read More ›
Chatbots aren’t necessities. Meanwhile, long-esteemed laws and rules of conduct forbade slander and libel because they can seriously harm people.
Read More ›