Persons cited in Populscience

Poisson distribution of person names

I enjoy compiling statistics on many things. Naturally, I also do it for this blog. One of the statistics I often compile is that of the names of people (scientists or otherwise) most frequently mentioned in the blog, which now has 564 posts. I presented such a table in January 2024, when 449 articles had been published, in the post titled Ten years of Divulciencia-Populscience, and I think it's time to update it. Here is the corresponding table, showing 40 people who have been mentioned at least 10 times.

Hallucinations or Lies

My hallucinations by August Natterer

Since ChatGPT appeared in late 2022, I have been warning that the answers provided by Large Language Models (LLM; I refuse to call these tools Artificial Intelligence) are unreliable and should be treated with the utmost caution. Often, these answers seem plausible and are written linguistically correctly, but they are false. These types of answers have been called hallucinations.

This is not surprising. It is a logical consequence of the algorithm used by these programs, which I described in another post in this blog, which I simulated by means of a program with only 18 instructions. The algorithm works by adding words extracted from the most frequent ones that follow the previous words, chosen from billions of files taken from the Internet. It is evident (just think about it) that this algorithm cannot guarantee that the answers these tools provide are true.

The Chinese and artificial intelligence

Wolfgang von Goethe

The media has been reporting on a recent breakthrough in LLMs (large language models), the hottest applications in the field of artificial intelligence, which in the last two years have given rise to great hype, suspicions of stagnation and accusations of excessive energy and water costs.

This latest breakthrough has been achieved by a Chinese company, DeepSeek, which has jumped to the front line because it successfully competes with the big companies in the field, OpenAI (which built ChatGPT and GPT4) and Google (with GEMINI), but at a lower cost.

There are now many tools of this type, but the two mentioned in the previous paragraph (GEMINI and GPT4) provided the best performance, although they were the most expensive. Their code is secret, owned by the two companies (Google and OpenAI) and users cannot modify it. Alongside them, now there are others with open source, which can be adapted to each user, but with lesser performance.

The kingdom of lies

Abraham Lincoln

 Abraham Lincoln is credited with having said this:

You can deceive some people all the time. You can deceive everybody part of the time. But you can't deceive everybody all the time.

When I was young, if a politician was caught lying, he must resign, because he had deceived the people. This was true back then. Famous politicians who resigned during that time because they had lied included John Profumo, the British minister, in 1963, and Richard Nixon, the US president, in 1974.

This is quite rare now. Today, politicians who resign when they are caught lying are not the rule, but the exception. Many politicians lie whenever they speak, they know that everyone knows that they are lying, but don't care about it. This is an example of the discredit into which the concept of truth has fallen, which was one of the most important criteria in history, not just for politics, but for science and all forms of human thought.

They bark, therefore we ride

Illustration by Gustavo Doré

In September 2003, reading the book On the Will in Nature (1836) by the German philosopher Arthur Schopenhauer, I found the following words in page 40 of its Spanish translation by Alianza Editorial:

…according to those verses by Goethe: “The dog would like to come with us from the stable: the echo of its barking proves that we are riding.”

I immediately thought that this phrase must be the origin of the Spanish proverb they bark, therefore we ride, which used to be attributed to Don Quixote. Since I didn’t remember having read it there, just in case, I found a digitalized version of Don Quixote and looked up the phrase in question. It was not there. Next I did a Google search of the phrase, which came up with about sixty references, all of which stated that it was a phrase from Don Quixote. I also looked for the German translation of Goethe’s phrase as quoted by Schopenhauer, and got five references to Goethe’s poem Kläffer (Barker, 1808). Therefore, at that time the information used by Google to search for that phrase in Spanish was totally wrong, while the information written in German was correct, although less abundant.

Some problems in Automatic Natural Language Generation

Alan Turing

ChatGPT and similar tools have more than met the Turing test, for they are capable of fooling many human beings (I don’t know how many, but certainly more than 30%) into believing that there is a mind behind such simple algorithms. But, quoting Evan Ackerman (Senior Editor of IEEE Spectrum):

The problem with the Turing Test is that it’s not really a test of whether an artificial intelligence program is capable of thinking: it’s a test of whether an AI program can fool a human. And humans are really, really dumb.

A model for ChatGPT

How does ChatGPT work? Suppose we ignore for the moment that ChatGPT uses an artificial neural network, and represent its algorithm in the traditional way. This algorithm can be divided into two parts:

1. Training: ChatGPT is provided with data (text files), which are used to build two data sets:
1. A list of all the words that appear in any of the texts, without repetition, regardless of their order or the number of times each one appears.
2. An array of indices to the word list, reporting the number of times a given word occurs after a series of words. For example, if the following series appears in the texts: time travel, the indices of the words travel, and time will appear in the array, followed by the index of the next word, followed by the number of times that this sequence of three words appears in the set of texts used for training.

Cyberethics

Norbert Wiener

In 1948, Norbert Wiener created the term Cybernetics, applicable to a new technology, which he defined as follows:

The study of control and communication in the animal and the machine

Cybernetics has a lot to do with Robotics and with the use of computers and microprocessors to control and communicate; in other words, to do almost everything we use them for.

But what is being talked about right now, rather than Cybernetics, is Cyberethics: ethical issues related to the use of computers, social networks, and most tools that modern technology puts within our reach.