Latest posts from @datapizza on Instagram
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What they post about
The account focuses on the impact of artificial intelligence on various aspects of society, including job searching in the tech industry. It discusses the competition between autonomous vehicle services like Tesla and Waymo. Additionally, it provides insights into open-source AI and highlights common pitfalls in data interpretation. The content aims to educate followers about the complexities and implications of AI technology.
Recent posts
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Video
Why a Map Can Reveal More Than 600 Rows
The same data can tell a different story when shown on a map rather than in a long list. In a clip from the Mossa 37 podcast, Datapizza and ProfessionAI discuss how visual patterns help people spot distances and shapes, drawing on John Snow’s work on London’s cholera outbreak.
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Video
Vercel’s Find Skills Helps AI Agents Choose Tools
Vercel’s Find Skills lets AI agents search for relevant skills instead of leaving users to track a growing collection of tools. Available through skills.sh, it supports Claude Code, Codex, Cursor and Gemini CLI, among others. The post advises checking a skill’s author before installing it because skills may contain code.
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Sidecar
Leonardo da Vinci’s Job Pitch Still Offers Lessons
In a 1482 letter seeking work with Ludovico il Moro, Leonardo da Vinci led with military engineering proposals and mentioned painting only at the end. The post uses his approach to make a modern CV point: put the reader’s needs first and back up your abilities with concrete examples.
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Video
Inside the Numbers Behind a Viral Life Simulator
A look at the code behind “1 in 8 Billion” shows how the life simulator models births, survival, smoking risks and family income using demographic and economic data. The post says the game drew more than 84,000 simultaneous players within ten days of its October 5 release, while players’ health choices can make simulated lives slightly longer than real-world averages.
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Sidecar
How First Digits Can Flag Suspicious Accounts
Benford’s law offers a way to spot unusual patterns in numerical records: in many real-world datasets, about 30% of values begin with 1, while fewer than 5% begin with 9. The post explains how auditors, tax authorities and researchers use departures from that pattern to investigate potentially fabricated figures.
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