Will language models solve cryptic crosswords by end of 2026?
Plus
14
Ṁ3292027
73%
chance
1D
1W
1M
ALL
If a large language model can solve >90% of clues from Financial Times cryptic crosswords then yes otherwise no. Crossword layout as context is allowed.
Here's an example FT crossword:
For example, 2 down is "Giant pig, including tail, served up (7)". Pig is "hog", put tail inside to get "htailog" then reverse it to get "goliath".
Get
1,000and
1.00
1,0001.00Sort by:
In isolation or given the crossword layout as context?
I would argue that 90% of the challenge is eliminated by having the crossword as context (number of letters, positions of letters). In fact, I wouldn't be surprised if many cryptic crosswords could be solved without the clues - just the crossword itself.
Without the crossword layout, I think there is a high degree of ambiguity and 90% might be impossible.
Related questions
Related questions
Will a large language model beat a super grandmaster playing chess by 2028?
61% chance
Will there be an AI language model that strongly surpasses ChatGPT and other OpenAI models before the end of 2024?
4% chance
By the end of 2026, will we have transparency into any useful internal pattern within a Large Language Model whose semantics would have been unfamiliar to AI and cognitive science in 2006?
38% chance
Will language models be able to solve simple graphical mazes by the end of 2025?
67% chance
Will any 10 trillion+ parameter language model that follows instructions be released to the public before 2026?
51% chance
Will Meta release an open source language model that outperforms GPT-4 by the end of 2024
67% chance
Will 'jailbreaks' in large language models be solved in principle by the end of 2024?
4% chance
Will an Open-Ended Embodied Agent with Large Language Models be able to complete The Witness (2016) by 2024?
27% chance
Will AI be able to solve easy odd-one-out riddles by 2025?
73% chance
Will Transformer based architectures still be SOTA for language modelling by 2026?
68% chance