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MEDIUMArray, Two Pointers, Binary SearchThe input array is already sorted in non-decreasing order, and the goal is to find the two numbers whose sum equals the target.
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MEDIUMArray, Depth-First Search, Breadth-First Search, Union-Find, MatrixThe grid is a map of water and land:
"1" means land"0" means waterAn island is one connected piece of land using only the four cardinal directions: up, down, left, and right.
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MEDIUMArray, Divide and Conquer, Sorting, Heap (Priority Queue), QuickselectThis problem asks for the value that would appear in position k if the array
were sorted in descending order.
Generated by Codex with GPT-5
MEDIUMArray, Two Pointers, Greedy, Sorting, Heap (Priority Queue)Each interval represents one meeting with a start time and an end time.
The question is not really about building a calendar or labeling rooms. It is asking:
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MEDIUMArray, Hash Table, Bucket Sort, HeapThe input is an array of integers and a number k.
The task is not to sort the array itself. It is to:
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MEDIUMArray, Binary SearchKoko has several piles of bananas and exactly h hours before the guards return. In one hour, she chooses one pile and eats up to k bananas from that pile. If the pile has fewer than k, she finishes it and the rest of that hour is wasted.
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Phil Plait’s column starts from an everyday rule that feels too obvious to question: farther things look smaller. That rule works well on Earth because familiar objects stay roughly the same size and because the space between observer and object is not changing in any meaningful way while light travels. The article’s central point is that this intuition breaks once astronomers look deep enough into the expanding universe. At extreme distances, a galaxy can appear larger on the sky even though it is farther away.
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Techmeme surfaced this April 20, 2026 story, and the original post is Kimi K2.6 Tech Blog: Advancing Open-Source Coding.
Moonshot is positioning Kimi K2.6 as more than a routine model refresh. The company says it is open sourcing a new model centered on long-horizon coding, agent-style execution, coding-driven design, proactive agents, and a research preview called Claw Groups. In practical terms, the launch is framed as an attempt to make open models feel capable not just in isolated code generation tasks, but across the broader workflow that increasingly defines modern AI-assisted software work: planning, tool use, extended sessions, parallel sub-agents, and end-to-end execution.
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This summary covers The Economist’s April 11th, 2026 Science & technology article listed in the contents as AI mathematicians and published under the headline One step at a time.
The article argues that artificial intelligence is becoming useful not just for crunching numbers, but for doing one of mathematics’ slowest and most exacting jobs: turning ideas and draft arguments into proofs that other mathematicians can formally verify. The promise is not that AI has suddenly become a replacement for mathematicians. It is that AI may help remove a trust bottleneck that has long slowed the field.
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Tom Webster’s article tackles one of the most stressful moments in cross-country flying: arriving over an unfamiliar field with too little information about the surface wind and too little altitude to waste. His argument is simple but persuasive. Away from a home site windsock, pilots need an observation habit that still works when the obvious clues are missing, the instrument is unreliable, and there is no time for elaborate setup.
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