LeetCode MEDIUM 230 Kth Smallest Element in a BST Summary

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Quick facts

The problem in plain language

Given the root of a binary search tree and a 1-indexed number k, return the value that would appear in position k if all node values were arranged from smallest to largest.

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NVIDIA 20260817 Developing Nemotron 3.5 Lightning NVFP4 with QAD Using NVIDIA Model Optimizer Summary

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Quantizing a language model is often treated as a final conversion step: train in high precision, compress the finished checkpoint, measure the damage, and accept the best compromise. NVIDIA’s latest work makes a more useful engineering move. It turns quantization error into a condition the model can train against, allowing the deployment format to influence the model before release rather than merely constraining it afterward.

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Scientific American 202601 Fire Stoppers Summary

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Fighting Fire by Moving Air

Fire needs heat, fuel and oxygen. Conventional suppression usually removes heat with water or separates flames from fuel with chemicals. The Scientific American Advances article “Fire Stoppers” describes a more unusual approach: using sound waves to disturb the air around a flame so quickly that combustion cannot keep going.

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Techmeme 20260817 We Tracked a Shipment of Rare Books. It Ended at an Amazon AI Training Facility Summary

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Techmeme surfaced Emanuel Maiberg’s August 17 investigation, “We Tracked a Shipment of Rare Books. It Ended at an Amazon AI Training Facility”. The story turns a murky argument about AI training data into a physical supply-chain investigation: 404 Media placed a tracker in a rare-book shipment and followed it to Amazon’s VGT3 facility in Las Vegas, where Amazon scans books for AI training and destroys the paper copies.

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The Economist 20260718 Memory bank Summary

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SK Hynix has gone from near-collapse to the front of the artificial-intelligence boom. Once a struggling second-place memory-chip maker, it now leads the market for the high-bandwidth memory, or HBM, that feeds data to advanced AI processors. Its recovery shows how patient technical bets and a collaborative culture can let an underdog overtake incumbents. It also exposes the danger of expanding at the top of a notoriously cyclical market.

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2026-08-16 Social General Briefing Summary

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Massive egg recall in US south and south-west due to salmonella outbreak (r/news)

2 planes with the same flight number avoid possible disaster thanks to quick-thinking controller (r/news)

HR of reddit, what was the worst case for firing a worker? (r/AskReddit)

Which companies do you think are dying? (r/AskReddit)

What’s your “20 dollar burrito” example for how expensive things have got? (r/AskReddit)

2026-08-16 Social Tech Briefing Summary

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Companies with strong engineering culture? (Blind)

Should I give up coasting at work to let my fiance be a stay at home wife (Blind)

Building a business is so damn hard (Blind)

Remote workers report the highest well-being in study of 7,700 employees (r/technology)

Chris Hansen banned from Roblox live at CrimeCon during child safety demo with Schlep (r/technology)

Scientific American 202607 Aurora Poetry Summary

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A Sky Report Hidden in a Poem

For three nights in the winter of 1204, red and white bands stretched across the sky north and northeast of Kyoto. The Japanese noble and poet Fujiwara Sadaie recorded part of the display in his diary, Meigetsuki (The Record of the Clear Moon). More than eight centuries later, physicist Hiroko Miyahara and her colleagues used that description, along with other historical writings, as a guide to the behavior of the sun.

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Techmeme 20260812 What Sort of Maths Are LLMs Good At Summary

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Techmeme surfaced Fields Medalist Timothy Gowers’s August 12 essay, “What sort of maths are LLMs good at?”. Written days after OpenAI announced ten claimed advances in mathematics and theoretical computer science, the essay asks a more useful question than whether language models are simply “good at maths”: what kinds of mathematical search currently play to their strengths, and where might human judgment still matter?

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The Economist 20260718 The committee to buy Europe Summary

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Europe says it wants larger companies capable of competing with American and Asian giants. Its leaders call for deeper integration, more investment and new “European champions”. Yet scale cannot be created by declarations or a common incorporation regime alone. In practice, it requires mergers across national borders - and dealmakers willing to push through the political resistance those mergers provoke.

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