Technology is easier when someone explains the system underneath it. In Simple Terms with Satish turns AI, chips, apps, networks, devices, and emerging technology into calm, practical four-minute explanations—without jargon or hype. Each episode starts with something familiar, reveals the engineering behind it, and leaves you with one useful mental model. Follow for one clear technology explanation every day. Open once a day. Learn one concept. Leave smarter.
In Simple Terms with Satish
Claim This Podcastby Satish Choudhary
5.0(1 reviews)
117 episodes
Updated Daily
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Podcast Overview
Technology is easier when someone explains the system underneath it. In Simple Terms with Satish turns AI, chips, apps, networks, devices, and emerging technology into calm, practical four-minute explanations—without jargon or hype. Each episode starts with something familiar, reveals the engineering behind it, and leaves you with one useful mental model. Follow for one clear technology explanation every day. Open once a day. Learn one concept. Leave smarter.
Language
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Publishing Since
9/15/2025
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Recent Episodes
July 29, 2026
Can A Digital File Prove Where It Came From?
<p>A friend sends you a surprising photograph and asks, "Is this real or AI?" Instead of guessing from pixels, digital provenance can reveal evidence about where the file came from and how it changed.</p><p><br></p><p>Inside this five-minute technical story:</p><p>- How Content Credentials record a file's origin, edits, and ingredients.</p><p>- How hashes, digital signatures, certificates, and trust lists make that history tamper-evident.</p><p>- Why valid provenance is useful evidence but still cannot guarantee that a claim is true.</p><p><br></p><p>Follow In Simple Terms with Satish for one clear technology explanation every day. Open once a day. Learn one concept. Leave smarter.</p><p><br></p><p>Disclosure: This episode uses authorized synthetic narration based on Satish's own voice. The topic, script, and final editorial approval are by Satish.</p><p><br></p><p>Sources:</p><p>- https://spec.c2pa.org/specifications/specifications/2.4/specs/C2PA_Specification.html</p><p>- https://spec.c2pa.org/specifications/specifications/2.2/explainer/Explainer.html</p><p>- https://c2pa.org/the-c2pa-launches-content-credentials-2-3-and-celebrates-5-years-of-impact-across-the-digital-ecosystem/</p><p>- https://blog.google/innovation-and-ai/products/identifying-ai-generated-media-online/</p><p>- https://blog.google/security/pixel-android-trusted-images-c2pa-content-credentials/</p>
July 28, 2026
How Digital Twins Predict Machine Failures Before They Happen
<p>A factory machine can look healthy while its vibration, temperature, and electrical signals quietly move away from normal. A digital twin combines those live signals with a virtual model to estimate what the machine is doing now—and what may fail next.</p><p><br></p><p>Inside this five-minute explanation:</p><p>- What separates a digital twin from a normal dashboard or 3D model.</p><p>- How sensor data, physics, and machine learning work together.</p><p>- Why useful prediction depends on calibration, maintenance feedback, and human judgment.</p><p><br></p><p>Follow In Simple Terms with Satish for one clear technology explanation every day. Open once a day. Learn one concept. Leave smarter.</p><p><br></p><p>Disclosure: This episode uses authorized synthetic narration based on Satish's own voice. The topic, script, and final editorial approval are by Satish.</p><p><br></p><p>Sources:</p><p>- https://www.nist.gov/programs-projects/digital-twins-advanced-manufacturing</p><p>- https://news.samsung.com/global/samsung-electronics-announces-strategy-to-transition-global-manufacturing-into-ai-driven-factories-by-2030</p><p>- https://press.siemens.com/global/en/pressrelease/siemens-unveils-technologies-accelerate-industrial-ai-revolution-ces-2026</p><p>- https://www.ibm.com/think/topics/predictive-maintenance</p>
July 27, 2026
What Exactly Is An Open-Weight AI Model?
<p>A new public letter from major technology companies put open-weight AI models into the news. The headline sounds political, but the engineering question is practical: when does AI stay a remote API, and when can it become infrastructure you run yourself?</p><p><br></p><p>Inside this four-minute explanation:</p><p>- What model weights actually are.</p><p>- Why open-weight is not always the same as open-source.</p><p>- What changes when a company downloads, hosts, evaluates, and tunes an AI model on its own infrastructure.</p><p><br></p><p>Follow In Simple Terms with Satish for one clear technology explanation every day. Open once a day. Learn one concept. Leave smarter.</p><p><br></p><p>Disclosure: This episode uses authorized synthetic narration based on Satish's own voice. The topic, script, and final editorial approval are by Satish.</p><p><br></p><p>Sources:</p><p>- https://images.nvidia.com/pdf/Open-Weights-and-American-AI-Leadership.pdf</p><p>- https://www.investing.com/news/stock-market-news/nvidia-microsoft-and-other-tech-giants-back-opensource-ai-models-4812383</p><p>- https://opensource.org/ai/open-source-ai-definition</p><p>- https://help.openai.com/en/articles/11870455-openai-open-weight-models-gpt-oss</p><p>- https://www.ai.gov/action-plan</p>
117 total episodes available
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This podcast updates daily.
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