Even by my standards, I think that’s an obscure referential misquote, but I wouldn’t put it past one or two of my readers to be sufficiently nerdish Star Trek fans to catch the echo. For the rest of you, fear not: all will be revealed in due time (and it has nothing to do with Star Trek really).
In the 1960s, scientists built an English-Russian-English translating computer. To test its ability, they fed in the English saying: Out of sight, out of mind. They then took the Russian output, fed that back in, and the computer translated it back into English as: Invisible idiot.
I used to love this joke in the 1960s. Thinking back, I suspect I loved it for two reasons. First, it illustrated what I characterised as the richness of expression in English. The same phrase – Out of sight – can be understood either from the perspective of the unobserved, indicating that it is hidden or invisible, or from the perspective of the observers, indicating that said observers themselves are not in a position to see it. It strikes me now that you could argue that this indicates the paucity of vocabulary in English – one phrase with two very different meanings – but essentially I find the potential ambiguities of English a tremendous strength of the language.
The second reason why I loved it was that it relished the fact that machines would never be able to match the linguistic creativity and nuance of humans, which was immensely reassuring for someone who harboured dreams of becoming some sort of writer.
It was also, of course, a joke of its time, illustrating the linguistic iron curtain that separated the English-speaking West from the Russian-speaking Soviet empire.
Fast-forwarding to 2021-22, as editor of my shul’s magazine I started using Google Translate as a first step to translating articles written in English into Hebrew. Not only did this save considerable time, but as a bonus, when I sanity checked the first draft, I found I had enough mistranslations for an amusing article at the end of the magazine. It’s not easy to find any that will be understandable to those of my readers who are not bilingual, but here’s one. One writer, describing the scene in the gym, wrote about a ‘Nike-track-suited trio’. Google translated this as שלישייה מתאימה למסלול של נייקי – ‘a trio appropriate for a Nike track’.
Incidentally, if you haven’t used AI to render a translation in the last five years, you should note that the quality of the translation has improved exponentially.
Of course, it was way back in 1996 that IBM’s computer Deep Blue first played a series of chess matches against world champion Garry Kasparov. Although Kasparov won 4-2, in the following year Deep Blue won the rematch series 3½–2½. There were experts who argued that Kasparov played significantly below par in the rematch, and was considerably disturbed by his probably correct apprehension that any mistake of his would be pounced upon and mercilessly exploited. Nevertheless, that felt like a watershed moment.
At the same time, those of us who still believed that AI would never be able to match human creativity in language comforted ourselves with the thought that, though the possible combinations of moves arising from any situation on the chessboard are huge, they are finite, and a powerful enough computer can match a human chessmaster’s intuition and genius by pedestrianly working through the possibilities. Once the computer got fast enough at calculating all the possibilities, it became a worthy, if uninspired, opponent.
But language, we (or at least I) smugly contended, was different, and until ten days ago, I could point to evidence that supported my claim. When programmers first started training computers to solve cryptic crosswords, the results were laughable. While the computer might stumble across the occasional correct answer, it would, much more often, provide an ‘answer’ that either did not contain the right number of letters or that had no connection to the clue. Endearingly, the computer would always offer what it hoped you would believe was a carefully reasoned argument as to why its answer was correct.
For example, the following clue: Number achieved victory, we hear (3) might be answered by an LLM as follows: ‘The answer is ICE, because ice makes you numb and it sounds like ‘ace’ which is a winning serve in tennis.’ The problems with this answer are that ‘ice’ does not sound like ‘ace’ (unless the clue included a reference to Cockney pronunciation, ‘ace’ does not mean ‘achieved victory’; that would be ‘aced’ (possibly), and, finally, an ace is not a victory, it is the means by which the player achieves victory in a point. If you think I am being pedantic, then you need to understand that cryptic crossword clues must, perforce, satisfy the most pedantic of pedants. The great crossword clues are those that you don’t solve but which, as soon as you read the answer, you see how it fits the clue perfectly and uniquely.
The answer to the clue Number achieved victory, we hear (3), incidentally, is ONE, which is a number, and which sounds like (we hear) WON, which means ‘achieved victory’.
Even last year, when Professor Siddhartha Chatterjee, a computer scientist at the University of Texas, brought his AI program Darmok to the Times Crossword Puzzle Championships in London, it failed to beat the human winner of the competition, although it performed frighteningly well. When Professor Chatterjee returned with a more mature Darmok this year, the program performed better on each of the four puzzles than any of the human competitors. When I read the news, I confess that combobulateion was totally dissed.
To give you an idea of the level of sophistication required, here is a clue from the final puzzle that stumped two of the final four humans.
Wolf trap missing its lowest crosspiece (5)
This was a down clue, and the across clues that intersected it in the answer grid provided three of the five letters.
S A F
Give yourself 100 bonus points if you got the answer: SNARF.
Give yourself 50 bonus points if, knowing the answer, you can explain why it is the answer.
The explanation is that a SNARE is a trap and, remembering that this is a down clue, the answer contains four crosspieces: the horizontal stroke in the middle of A and the three horizontal strokes in the E. If you remove the lowest crosspiece, the E becomes an F, and the word becomes SNARF, which means to eat greedily, or to wolf your food.
I tackle the Times cryptic crosswords most days of the week, and I can never remember seeing a clue to solve which which you needed to remove a stroke of a letter to create a different letter. So, assuming the AI realised this explanation, that represents impressive lateral thinking. I actually believe it is more likely that the AI – and, indeed, the human competitors – used the three ‘lights’ (the S, A and F provided by across clues) to arrive at SNARF, and didn’t worry about parsing the cryptic part of the clue. Remember that these finalists were solving a 30-clue puzzle in somewhere around 3–4 minutes, which leaves precious little time for much more than seeing the answer almost instantly and writing it in.
Let me offer you one more clue from the same crossword, to indicate the level of linguistic subtlety and agility required,
Faint but persistent echo, winding along gorges. (8)
In crossword parlance, I would say that this clue has a beautiful, smooth surface. In other words, the clue reads very naturally, but, to solve it, we have to parse the language very differently from what appears on the surface.
Here we go:
‘Faint but persistent’ is the definition, and the answer is SNEAKING, in the sense: ‘I have a sneaking suspicion most of you have stopped reading by now.’ It’s fair to say that this is a secondary meaning of ‘sneaking’.
‘Winding along’ is ‘’snaking’, which ‘gorges’, in other words swallows or contains, the letter E, which is indicated by its NATO phonetic alphabet word – ‘echo’.
So, we have SN E AKING.
To solve this clue, you must recognise ‘gorges’ as a verb, whose subject is ‘winding along’ as a gerund/adverb phrase. On the surface, ‘winding’ is a gerundive, and ‘along’ is a preposition governing the noun ‘gorges’. All of that is beautiful misdirection. You must also separate ‘faint but persistent’ from the rest of the clue and recognise it as the definition, and associate ‘echo’ with the NATO alphabet.
All that remains is for me to unpack, in a similar fashion, this week’s blog post title. It is a misquote of a memorable line from ‘Darmok’, an episode of Star Trek in which Picard eventually realises that the alien civilisation the Enterprise has encountered speaks in metaphors. One of Picard’s memorable lines when he finally manages to communicate with this initially aggressive civilisation is ‘Shaka, when the walls fell’. You can watch Patrick Stewart utter the immortal line, here. (Incidentally, I am in absolutely no sense a trekkie, and I only stumbled across all of this sub-Tolkein bunkum when I googled ‘Darmok’ to find out the origin of the AI program’s name.)
Having uncovered the meme, I felt that it described my feelings when I learnt that Darmok had out-performed the humans in cryptic crossword solving. I was, indeed, shaken, when the walls fell.
But, I ask myself, could AI ever create a cryptic crossword puzzle? Let’s answer that question with a crossword clue. Be the first to post your solution in the comments below this post.
Which pastas, etc get cooked.? Look here! (5,4,5)