Tech Product Leader | x Nuvolo, RBC | AI Mobile Dev | Vanderbilt MBA @vvsCodeDotNet

Orange County, CA
Joined October 2011
Justin Calhoun retweeted
Porsche Mission S Previews a Future Mid-Engine Supercar Without Screens. Read more: bit.ly/4iqxCVd
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Justin Calhoun retweeted
Flow around a massive Wind Turbine. Simulate via LBM at Re = 10^8
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Justin Calhoun retweeted
Digital Dashboards Are Recreating Analog Gauges—And That Says a Lot About Modern Cars. Read more: bit.ly/3VAgNzn
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Justin Calhoun retweeted
Fibonacci: From curves to cubes and back to curves.
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Justin Calhoun retweeted
777-HP Jeep Grand Cherokee SRT Could Be the Most Powerful Combustion SUV in the World. Read more: bit.ly/3Vgiwtn
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📊 Data update: NVIDIA's data center & AI revenue has grown nearly 15-fold since early 2023— Most of the chips used to train and run AI models come from NVIDIA. This makes NVIDIA's data center & AI revenue one of the clearest public figures available for tracking demand for AI hardware. The chart here shows how the company's quarterly revenue has changed over the last eight years, split by market segment. In early 2023, data center & AI revenue was around $4 billion per quarter. By late 2025, this had grown to $62 billion — a more than 15-fold increase in under three years. This data comes from NVIDIA's financial reports and is not adjusted for inflation. Our colleague Veronika Samborska recently updated our chart with the latest quarterly release and will continue to do so each quarter.
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Justin Calhoun retweeted
Where Legends Run. Behind the scenes of the fastest American OEM lap on the Nordschleife. Live on YouTube now.
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Justin Calhoun retweeted
In GitHub Copilot CLI, you can now leverage a multi-model reflection loop as a reviewer. Super helpful for catching issues early before they compound.
The @GitHub Research folks released a "Rubber Duck" agent for the Copilot CLI. Automatically get a review from a model from a different AI family. And their data shows that yes, this does in fact help. Quite a bit.
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Map of Agentic AI
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We’re going live tomorrow at 9 AM PT for a deep dive into advanced Gemini CLI features: Planning Mode, Skills, and Hooks. Come with your questions, and remember, this isn’t a pre-recorded demo. If we hit a bug while building, you’ll see us fix it live ➡️ goo.gle/469Iy4b
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Justin Calhoun retweeted
Layers of AI
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A Perfect Battery Doesn’t Exist…
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Justin Calhoun retweeted
This isn't just a bookshelf, it’s a $300k/year survival kit.
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Marc Andreessen: “The best entrepreneurs of the future will be quite skilled at 6-8 things” Marc is asked how being a founder changes in the age of AI, to which he responds: “I think there are two ways to have a differentiated edge in general — go deep or go broad.” Going deep means becoming a specialized expert in your domain. “There are domains where that really matters,” Marc explains. “In biotech and working on AI foundation models, the deeper you are the better.” But as AI gets more powerful, Marc would bet that “going broad” will be the winning strategy for most fields. He recommends knowing a lot about many different fields and how the world works — then use AI tools to go deep whenever you need to. “If you talk to any of the great CEOs, you see this.” Mark explains. “The really great CEOs are great at product, sales, and marketing people, they’re great legal thinkers, and they’re great at finance and with investors and the press. It’s a multidisciplinary kind of approach.” He continues: “The best entrepreneurs of the future will probably be quite skilled at 6 or 8 things and then will be able to cross-pollinate and combine them.” Video source: @tbpn (2025)
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Justin Calhoun retweeted
Top Gear
@BBC_TopGear25 Nov 2025
TG’s Assetto Corsa Rally diaries: stop caring about the crashes ➡️ top-gear.visitlink.me/pDNlXn
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Justin Calhoun retweeted
Say hello to @ClaudeAI in Azure 👋 Starting today, Claude Sonnet 4.5, Haiku 4.5, and Opus 4.1 models are available in Microsoft Foundry.
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Justin Calhoun retweeted
Excellent breakdown of cognitive biases.
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Justin Calhoun retweeted
NVIDIA CEO Jensen Huang’s best career advice: “Passion isn’t enough, you’ve got to endure.”
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Justin Calhoun retweeted
Another first for our AI fleet... a supercomputing cluster of NVIDIA GB300s with 4600+ GPUs and featuring next gen InfiniBand. First of many as we scale to hundreds of thousands of GB300s across our DCs, and rethink every layer of the stack across silicon, systems, and software to support next gen AI workloads.
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Justin Calhoun retweeted
The world's first large-scale @nvidia GB300 NVL72 supercomputing cluster for AI workloads is now live on Microsoft Azure. The deployment connects 4,600+ NVIDIA Blackwell Ultra GPUs using next-gen InfiniBand network—built to train and deploy advanced AI models faster than ever.
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