Guide-linked quiz · Medium Level
Magic AI Long-Context Code Models Quiz
Explore Magic's LTM models, long-context retrieval, HashHop evaluations, codebase reasoning, and the cost problem their sequence algorithm targets.
Question 1 of 8
What software-development direction has Magic said it is pursuing?
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- What software-development direction has Magic said it is pursuing?
- Developing AI models and agents for software-engineering tasks
- Replacing all software repositories with image datasets
- Building a spreadsheet-only OCR service
- Generating code without considering project context
- What maximum context capacity did Magic announce for LTM-2-mini in August 2024?
- Up to 100 thousand tokens
- Up to 100 million tokens
- Up to 1 million tokens
- Up to 10 billion tokens
- What does Magic use HashHop to evaluate?
- How well a model predicts a familiar fact from pretraining
- Whether generated source code passes every production test
- Retrieval and chaining over random hash pairs placed in a supplied long context
- How quickly a model compiles a new programming language
- Why is naive transformer attention a problem for 100-million-token contexts?
- It costs nothing
- It only works offline
- It deletes the input
- It scales quadratically with sequence length, becoming prohibitively expensive
- Which company did Magic partner with in 2024 to build supercomputers?
- Google Cloud
- Apple
- Spotify
- Adobe
- What does a larger context window make possible for a coding task?
- Faster typing on a keyboard
- Include more cross-file code and documentation in one context, without guaranteeing project-wide correctness
- Better screen resolution
- Cheaper electricity bills
- What comparison did Magic report for LTM-2-mini’s sequence-dimension algorithm?
- A 1,000-fold improvement in total cost for every deployed model
- A 1,000-fold increase in the accuracy of all code edits
- About 1,000 times lower per-token algorithmic cost than Llama 3.1 405B attention at 100M context in the reported configuration
- A fixed 1,000-token limit for every LTM model
- In a simple illustrative lookup with A → B, B → C, and C → D, what chain follows from A?
- A → C → B → D
- A → B → D → C
- A → D → C → B
- A → B → C → D
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