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I Vibe-Coded an App in Just Two Hours (And Regretted It the Next Day)

My daughter is three years old. She broke her toy guitar and wants a new one. Instead of another toy guitar, I bought her a real Ukulele. It’s small, lightweight, and perfect for a small girl. Besides, it sounds way better than the annoying toy guitar. She loved it. But I’m the one who played …

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Switchyard: NVIDIA’s Open Source Routing Library

Most production AI agents still send every LLM call to the same expensive frontier model. Classification steps, simple tool calls, progress checks, and hard reasoning all hit the same endpoint. The result is unnecessary cost and latency. NVIDIA NeMo Switchyard solves this. It is an open-source routing layer (proxy + library) that sits between your …

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Our most advanced global weather AI model

ContentsReal-world data at continuous global scalePrecipitation forecasting at breakthrough accuracy Real-world data at continuous global scale WeatherNext 3’s biggest leap forward is what it learns from. Most AI weather models, including WeatherNext 2, are trained on data from numerical weather prediction (NWP) models. Although useful, NWP models are complex, supercomputer-driven physics simulations that carry a …

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Abundance and Unrest Hit the Middle of the Labor Market · Hanh D. Brown

Short answer Which workers does AI hit first, and what does the forecast actually say? White-collar work goes first. Blue-collar work goes later. The industrial-era story has the order wrong. Anything that lives in bits gets automated now. Anything that needs hands on atoms takes longer. Abundance and unrest arrive together in three to seven …

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Disaggregation Is a Thousand-GPU Problem

Every major inference framework shipped prefill-decode disaggregation this year. NVIDIA built it into Dynamo. SGLang made it the default for large-scale deployments. vLLM added a KV connector API to support it natively. The consensus is forming fast: split your prefill and decode onto separate GPU pools, and throughput improves. The consensus is wrong for most …

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Slow Upside, Fast Downside, Weak Links · Hanh D. Brown

AI’s Economic Future: Slow Upside, Fast Downside, Weak Links. A chain breaks at one link and strengthens one at a time. That asymmetry is why AI’s economic upside arrives slowly and its downside arrives fast. ai-economics ai-policy ai-careers A chain is only as strong as its weakest link. Artificial Intelligence (AI) makes the strong links …

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Rosidi AI Data Analysis Mistakes 1

I Asked ChatGPT to Analyze 3 Datasets. It Made the Same Mistakes Every Time

We ran an experiment: three small datasets, one AI model, and the questions a business team asks in a normal week — what’s our average delivery time, which region is our best performer, how many athletes are in this file. Then we added a review pass. We handed the model its own answer back and …

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AI Is Not a Faster Chip. It Is a Reinvention of Computing. · Hanh D. Brown

AI Is Not a Faster Chip. It Is a Reinvention of Computing.. AI is not a faster chip. It is a wholesale reinvention of how computers work, and the sentence the chip-and-forecast discussion does not say is the one that matters most. ai-hardware ai-economics ai-policy For sixty years, software was written by humans typing rules …

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