Article URL: https://colo.to/nvidia-stock-narrative.html Comments URL: https://news.ycombinator.com/item?id=49872723 Points: 24 # Comments: 6
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Software engineer Derek Wang argues, in an essay published on DEV Community, that AI harness testing should be modeled on philosopher Karl Popper's principle of falsification — advancing knowledge by eliminating wrong answers rather than accumulating right ones. Wang contends that a test system capable of recognizing and classifying failures is far more valuable than one that simply returns a pass or fail verdict. He describes a regression suite his team built, called fulltest, which maintains a structured ledger cataloguing each class of failure along with its root cause and known repair strategies. The system distinguishes between known failures — previously documented debts — and unknown failures, treating the latter as the most critical signal for genuine improvement. Wang concludes that fast, trustworthy feedback is what enables AI agents to make bold correct changes while remaining cautious about potentially harmful ones.
A software developer argues that releasing imperfect products early is more effective than polishing them in isolation before launch. Drawing on the philosophy of a colleague named Marek, the piece contends that live, production software exposes real bugs and user behavior that internal reviews simply cannot replicate. Delaying a release to refine a product risks optimizing for untested assumptions, often resulting in larger, harder-to-fix errors at launch. The author advocates for an iterative, public-facing build cycle — ship early, observe failures, fix specifically, and repeat. The core argument frames building in public not as a marketing tactic but as an epistemological discipline that grounds development in real-world feedback rather than speculation.
Software developer Harman Singh built Sealify in 2023, a copy-detection tool that identifies edited or redistributed versions of images and videos across the web without running its own crawler. Instead of indexing the web independently, Sealify uses existing reverse image search from Google, Bing, and Yandex as a broad first stage, then applies local verification on a single Mac mini to filter out false matches. The approach was driven by both practical and environmental concerns, as building a proprietary web index requires continuous crawling, large-scale storage, and significant energy and water consumption. Singh notes that data centers consumed roughly 66 billion liters of water in the US alone in 2023, and that duplicating existing infrastructure produces no new value. By reusing indexes that already exist, Sealify aims to deliver accurate copy detection while avoiding the hardware, energy, and e-waste costs of a redundant system.
Although SQL queries are written starting with SELECT, databases process them in a different sequence that affects both results and performance. The actual execution order follows these steps: FROM, WHERE, GROUP BY, HAVING, SELECT, DISTINCT, ORDER BY, and finally LIMIT or OFFSET. Early stages like FROM and WHERE handle table selection and row filtering, which can significantly reduce the data processed in later steps. HAVING differs from WHERE in that it filters grouped results rather than individual rows. Understanding this execution order helps developers write more efficient queries and troubleshoot unexpected outputs.
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