Language Log

This morning, I received the following interesting message from Adam C.:

Someone complained in an inappropriate and non sequiturish place that AIO (Artificial Intelligence Overview) did not definitively solve the difficult problem of the seeming non-Sinitic etymology of Japanese waka 若 ("young; youth") that he posed to it.

Cf. Wiktionary:

Japanese

Noun

若(わか) • (waka) 

1. 1. "my lord" (towards a young master or a young heir)

…at least not when simple properties of character-sequences are involved. For some past versions of this problem, see The ‘Letter Equity Task Force’” (12/5/2024). And there's a new kid on the block, DeepSeek, which Kyle Orland checked out yesterday at Ars Technica — "How does DeepSeek R1 really fare against OpenAI’s best reasoning models?".

The third of eight comparison tasks was to follow this prompt:

Write a short paragraph where the second letter of each sentence spells out the word ‘CODE’. The message should appear natural and not obviously hide this pattern.

Curse tablet found in Roman-era grave in France targets enemies by invoking Mars, the god of war
Excavation of a Roman-era cemetery in France yielded nearly two dozen lead tablets inscribed in Latin and Gaulish.
By Kristina Killgrove, Live Science (January 15, 2025)

It's interesting precisely where they positioned the curse tablet:

A skeleton found during excavations beneath a historic hospital in Orléans, France,
has a curse tablet between its legs. (Image credit: Service Archéologie Orléans (SAVO))

With current LLM technology, users can create individualized chatbots, and interact with them over time as if they were real friends. This started almost a decade ago with Replika, and more recently, we've seen similar tools from Character.ai (from September 2022) and Meta's AI Studio (from July 2024).

There've been several recent problems with these apps. The most serious ones involve harmful advice, such as those described in this recent lawsuit. In a less serious but still troublesome issue, NBC News recently found "two dozen user-generated AI characters on Instagram named after and resembling Jesus Christ, God, Muhammad, Taylor Swift, Donald Trump, MrBeast, Harry Potter, Adolf Hitler, Captain Jack Sparrow, Justin Bieber, Elon Musk and Elsa from Disney’s 'Frozen'".

But the weirdest recent problem seems to be the result of a Character.ai bug.

Yesterday on YouTube, "Former White House chief strategist Steve Bannon sits down with Dasha Burns, POLITICO's White House bureau chief". At the end of the interview, there's a conventional exchange of thank-yous. From Dasha Burns:

All right Steve, I know you got a show to record,
thank you so much for- for beaming in here
and uh sorry for the technical difficulties everyone.
Steve thanks so much.

And Steve Bannon's response:

Dasha thank you,
and thank Politico for having me.

Marketoonist (3/26/23):

"Will AI make translators redundant?"  By Rachel Melzi, Inquiry (3 Dec 2024)

The author is a freelance Italian to English translator of long standing, so she is well equipped to respond to the question she has raised.  Having read through her article and the companion piece on AI in general (e.g., ChatGPT and other LLMs) in the German magazine Wildcat (featuring Cybertruck [10/21/23]) (the article is available in English translation [11/10/23]), I respond to the title question with a resounding "No!".  My reasons for saying so will be given throughout this post, but particularly at the very end.

The author asks:

How good is AI translation?

Already in 2020, two thirds of professional translators used “Computer-assisted translation” or CAT (CSA Research, 2020). Whereas “machine translation” translates whole documents, and thus is meant to replace human translation, CAT supports it: the computer makes suggestions on how to translate words and phrases as the user proceeds through the original text. The software can also remind users how they have translated a particular word or phrase in the past, or can be trained in a specific technical language, for instance, by feeding it legal or medical texts. CAT software is currently based on Neural Machine Translation (NMT) models, which are trained through bilingual text data to recognise patterns across different languages. This differs from Large Language Models (LLM), such as ChatGTP, which are trained using a broader database of all kinds of text data from across the internet. As a result of their different databases, NMTs are more accurate at translation and LLMs are better at generating new text.

I've only been using Artificial Intelligence Overview (AIO) for about half a year.  Actually, I don't really "use" it.  I ask Google a question, often quite complicated but succinctly stated, and AIO jumps in and takes over my search, boiling things down to a manageable framework.  As I've explained in earlier posts, AIO rapidly improved, its answers becoming increasingly relevant, organized, and, yes, I dare say, literate.  It's also becoming quicker and more confident.  Now it doesn't have to remind me so often that it is only "experimental".

"Evolution journal editors resign en masse to protest Elsevier changes", Retraction Watch 12/27/2024:

All but one member of the editorial board of the Journal of Human Evolution (JHE), an Elsevier title, have resigned, saying the “sustained actions of Elsevier are fundamentally incompatible with the ethos of the journal and preclude maintaining the quality and integrity fundamental to JHE’s success.” […]

Among other moves, according to the statement, Elsevier “eliminated support for a copy editor and special issues editor,” which they interpreted as saying “editors should not be paying attention to language, grammar, readability, consistency, or accuracy of proper nomenclature or formatting.” The editors say the publisher “frequently introduces errors during production that were not present in the accepted manuscript:”

"In fall of 2023, for example, without consulting or informing the editors, Elsevier initiated the use of AI during production, creating article proofs devoid of capitalization of all proper nouns (e.g., formally recognized epochs, site names, countries, cities, genera, etc.) as well italics for genera and species. These AI changes reversed the accepted versions of papers that had already been properly formatted by the handling editors. This was highly embarrassing for the journal and resolution took six months and was achieved only through the persistent efforts of the editors. AI processing continues to be used and regularly reformats submitted manuscripts to change meaning and formatting and require extensive author and editor oversight during proof stage."

In a comment on "AI counting again" (12/20/2024), Matt F asked "Given the misspelling of ‘When’, I wonder how many ‘h’s the software would find in that sentence."

So I tried it — and the results are even more spectacularly wrong than Grok's pitiful attempt to count instances of 'e', where the correct count is 50 but Grok answered "21".

Following up on "AIs on Rs in 'strawberry'" (8/24/2024), "Can Google AI count?" (9/21/2024), "The 'Letter Equity Task Force'" (12/5/2024), etc., I thought I'd try some of the great new AI systems accessible online. The conclusion: they still can't count, though they can do lots of other clever things.

Chatting with my London cabbie on a longish ride, I was intrigued by how he frequently referred to "the Knowledge".  He did so respectfully and reverently, as though it were a sacred catechism he had mastered after years of diligent study.  Even though he was speaking, it always sounded as though it came with a capital letter at the beginning.  And rightly so, because it is holy writ for London cabbies.