Scale and Persistence
Pattern Recognition
Knowing Vs Understanding
Verifying Vs Generating
Free Points
100

What does "scale and persistence" refer to?

Scale and persistence refer to an AIs operational endurance and its ability to process large volumes of data.

100

AI does not make new discoveries. True or false?

True. AI does not make new discoveries. Any new concepts used by AI systems are formalized, checked, and then published by mathematicians.

100

What is a key thing about AI?

One key distinction to make with AI is that it knows stuff, but doesn’t understand them. 

100

Define verify and generate.

(answers will vary)

100

What is AI?

AN ARTIFICIAL INTELLIGENCE BOT! (a system/program)

200

What can AI do that humans cannot do easily. (what can AI do that lets it do work faster and with less errors)

AI can work 24/7 without taking breaks, allowing work to be completed significantly faster and with less errors and simultaneous consistency.

200

What can AI excel to find similarities between?

AI excels at finding structural similarities between graphs, vectors, and tokens.

200

AI doesn't have wisdom. Explain.

AI cannot understand the effects something has on humans or anything else without human input or prompts. 

200

Fill in the blanks: 

AI is able to use ______ ______, notations and apply _____ but struggles to _____.

AI is able to use proper format, notations and apply rules but struggles to create.

200
What are 3 of our countdown points that you thought were the most interesting and helpful???

Answers may vary. Make sure to state 3 point.

300

What is loop engineering and what does it do???

Loop engineering allows AI systems to review and polish their own work until it reaches a certain quality benchmark or until a task is completed. This is done with minimal human intervention.

300

What can AI tirelessly search through?

AI is able to tirelessly search through low probability scenarios to find possible solutions.

300

What characteristics/abilities do humans have that AI systems do not? Name 2.

Humans have logic and curiosity while AI systems do not.

300

How is AI frequently used step by step and to do what?

AI is frequently used to step by step verify mathematical proofs and output a simple binary solution. As AI excels at pattern recognition and working tirelessly, making it very good at proving theories.

300

What are some ways AI is used in math???

- Calculations

- Prove theorems

- Knowledgeable curiosity questions

(more answers possible)

400

What does AI have access to that humans don't?

AI has significantly much more access and knowledge at its disposal, allowing it to make more informed decisions. 

400

What can AI spot that humans might overlook?

AI is able to spot invisible connections between theorems that humans might overlook.

400

What did Philosopher Yuval Noah Harari state related to knowledge and understanding?

Philosopher Yuval Noah Harari states that “intelligence is the ability to solve problems, wisdom is knowing which problems to solve”.

400

EXPLAIN the different between VERIFYING and GENERATING.

Answers may vary.

Verifying is when we check or re-check something to make sure/find out the solution.

Generating is more of creating something new and separate based off of other information.

400

Name a mathematical opinion.

Majoirty of mathematicians admit that AI makes problem solving much less labarious, while also streamlining repetative tasks.

500

Explain what AI Model Drift?

AI Model Drift refers to the degration of an AI's performance caused by changes in data or the relationship between inputs and outputs since the systems last training.

500
What tool allows AI to find structures in noisy environments?

Tools like Bayesin Networks and clustering algorithms allow AI to find structures in noisy environments.

500

What was the 2026 Mathocalypse, and what was it's significance?

It was an event...

500

What is the confirmation bias? (example..?)

When you ask an AI "are you sure that's correct?" it enters a reinforcement loop, often repeating errors to prove its point or creating new errors to prove yours (the Yes-Man effect).

500

What did Miles Kingston say?

"Knowledge is knowing a tomato is a fruit; wisdom is not putting it [a tomato] in a fruit salad."

- Miles Kingston.