In Simple Terms with Satish

Satish Choudhary
  • 5.0 (2)
  • Technology
  • Updated Daily

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.

  1. 22h ago

    How Extended Reality (XR) Works

    You are shopping for a sofa, but the product photo cannot tell you whether it will overwhelm your living room. You point your phone at the floor, and a full-size digital sofa appears beside your real coffee table. How does it stay in the correct place while you walk around it? Inside this five-minute technical story: - What XR means and how VR, AR, and mixed reality differ. - How tracking, spatial mapping, coordinate systems, anchors, and real-time rendering work together. - Why latency, drift, occlusion, safety, and privacy determine whether an XR experience feels believable. Follow In Simple Terms with Satish for one clear technology explanation every day. Open once a day. Learn one concept. Leave smarter. Disclosure: This episode uses authorized synthetic narration based on Satish's own voice. The topic, script, and final editorial approval are by Satish. Sources: - https://registry.khronos.org/OpenXR/specs/1.1/html/xrspec.html - https://www.w3.org/TR/webxr/ - https://developer.apple.com/documentation/visionos/tracking-points-in-world-space - https://developer.apple.com/documentation/visionos/incorporating-real-world-surroundings-in-an-immersive-experience - https://learn.microsoft.com/en-us/windows/mixed-reality/design/coordinate-systems - https://learn.microsoft.com/en-us/windows/mixed-reality/develop/advanced-concepts/hologram-stability

    How Extended Reality (XR) Works

  2. 1d ago

    Can A Digital File Prove Where It Came From?

    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. Inside this five-minute technical story: - How Content Credentials record a file's origin, edits, and ingredients. - How hashes, digital signatures, certificates, and trust lists make that history tamper-evident. - Why valid provenance is useful evidence but still cannot guarantee that a claim is true. Follow In Simple Terms with Satish for one clear technology explanation every day. Open once a day. Learn one concept. Leave smarter. Disclosure: This episode uses authorized synthetic narration based on Satish's own voice. The topic, script, and final editorial approval are by Satish. Sources: - https://spec.c2pa.org/specifications/specifications/2.4/specs/C2PA_Specification.html - https://spec.c2pa.org/specifications/specifications/2.2/explainer/Explainer.html - https://c2pa.org/the-c2pa-launches-content-credentials-2-3-and-celebrates-5-years-of-impact-across-the-digital-ecosystem/ - https://blog.google/innovation-and-ai/products/identifying-ai-generated-media-online/ - https://blog.google/security/pixel-android-trusted-images-c2pa-content-credentials/

    Can A Digital File Prove Where It Came From?

  3. 2d ago

    How Digital Twins Predict Machine Failures Before They Happen

    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. Inside this five-minute explanation: - What separates a digital twin from a normal dashboard or 3D model. - How sensor data, physics, and machine learning work together. - Why useful prediction depends on calibration, maintenance feedback, and human judgment. Follow In Simple Terms with Satish for one clear technology explanation every day. Open once a day. Learn one concept. Leave smarter. Disclosure: This episode uses authorized synthetic narration based on Satish's own voice. The topic, script, and final editorial approval are by Satish. Sources: - https://www.nist.gov/programs-projects/digital-twins-advanced-manufacturing - https://news.samsung.com/global/samsung-electronics-announces-strategy-to-transition-global-manufacturing-into-ai-driven-factories-by-2030 - https://press.siemens.com/global/en/pressrelease/siemens-unveils-technologies-accelerate-industrial-ai-revolution-ces-2026 - https://www.ibm.com/think/topics/predictive-maintenance

    How Digital Twins Predict Machine Failures Before They Happen

  4. 3d ago

    What Exactly Is An Open-Weight AI Model?

    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? Inside this four-minute explanation: - What model weights actually are. - Why open-weight is not always the same as open-source. - What changes when a company downloads, hosts, evaluates, and tunes an AI model on its own infrastructure. Follow In Simple Terms with Satish for one clear technology explanation every day. Open once a day. Learn one concept. Leave smarter. Disclosure: This episode uses authorized synthetic narration based on Satish's own voice. The topic, script, and final editorial approval are by Satish. Sources: - https://images.nvidia.com/pdf/Open-Weights-and-American-AI-Leadership.pdf - https://www.investing.com/news/stock-market-news/nvidia-microsoft-and-other-tech-giants-back-opensource-ai-models-4812383 - https://opensource.org/ai/open-source-ai-definition - https://help.openai.com/en/articles/11870455-openai-open-weight-models-gpt-oss - https://www.ai.gov/action-plan

    What Exactly Is An Open-Weight AI Model?

  5. 4d ago

    How Drones Fly And Stay Stable In The Air

    Technically, it is fighting gravity, wind, motor torque, vibration, and battery voltage every second. Inside this four-minute explanation: - A quadcopter as a real-time flight-control system that maps desired motion into individual motor thrust commands. - Desired state -> sensor estimate -> control error -> motor mixing -> new motion -> repeat. - That safety story gives us a useful engineering question: how does a small machine with four spinning propellers actually fly, turn, hover, and not immediately flip over? Follow In Simple Terms with Satish for one clear technology explanation every day. Open once a day. Learn one concept. Leave smarter. Disclosure: This episode uses authorized synthetic narration based on Satish's own voice. The topic, script, and final editorial approval are by Satish. Sources: - https://www.faa.gov/newsroom/successful-counter-drone-efforts-helped-keep-millions-fans-safe-during-fifa-world-cup-2026 - https://www.faa.gov/uas/recreational_flyers - https://www.faa.gov/uas/getting_started/remote_id - https://www.faa.gov/newsroom/small-unmanned-aircraft-systems-uas-regulations-part-107 - https://www.nasa.gov/aeronautics/exploring-drone-aerodynamics-with-computers/

    How Drones Fly And Stay Stable In The Air

  6. 5d ago

    How Passwords Get Cracked

    Earlier this month, KDDI in Japan reported unauthorized access to an email system it provided for internet service providers. Inside this four-minute explanation: - Password cracking as a guess-and-compare system: attackers test candidate passwords, hash them, and compare the result to leaked or stored password fingerprints. - Password -> salted slow hash -> stored verifier -> login comparison; a breach gets worse when guessing moves offline beyond website rate limits. - Strong-looking passwords still fail when they are reused, predictable, stored poorly, or protected only by fast hashes without layered defenses. Follow In Simple Terms with Satish for one clear technology explanation every day. Open once a day. Learn one concept. Leave smarter. Disclosure: This episode uses authorized synthetic narration based on Satish's own voice. The topic, script, and final editorial approval are by Satish. Sources: - https://newsroom.kddi.com/news/assets/2026/kddi_nr_s-73_4619/kddi_nr_s-73_4619_pdf_01.pdf - https://pages.nist.gov/800-63-4/sp800-63b.html - https://pages.nist.gov/800-63-4/sp800-63b/authenticators/ - https://cheatsheetseries.owasp.org/cheatsheets/Password_Storage_Cheat_Sheet.html - https://www.cisa.gov/resources-tools/training/cyb3rsmrt-use-password-manager-create-and-remember-strong-passwords

    How Passwords Get Cracked

  7. 6d ago

    When AI Agents Escape The Sandbox

    Inside a cyber-evaluation lab, an AI agent is not just answering questions. It has a goal, tools, outputs, retries, and a sandbox that is supposed to keep the experiment away from real systems. Inside this four-minute explanation: - What makes an AI agent different from a chatbot: it can plan, call tools, read results, and keep moving. - Why sandboxing, least privilege, network limits, credential isolation, logging, retry limits, and human approval are engineering controls, not just policy words. - How the OpenAI and Hugging Face incident shows the shift from guarding what AI says to guarding what AI can do. Follow In Simple Terms with Satish for one clear technology explanation every day. Open once a day. Learn one concept. Leave smarter. Disclosure: This episode uses authorized synthetic narration based on Satish's own voice. The topic, script, and final editorial approval are by Satish. Sources: - https://openai.com/index/hugging-face-model-evaluation-security-incident/ - https://huggingface.co/blog/security-incident-july-2026 - https://www.cnn.com/2026/07/23/tech/how-an-openai-model-went-rogue - https://genai.owasp.org/initiatives/agentic-security-initiative/ - https://cheatsheetseries.owasp.org/cheatsheets/AI_Agent_Security_Cheat_Sheet.html - https://www.nist.gov/itl/ai-risk-management-framework

    When AI Agents Escape The Sandbox

  8. Jul 23

    What Exactly Is Time, And How Do Machines Agree On It?

    The U.S. House just voted to make daylight saving time permanent. It is not law yet, but it opens a great engineering question: if a country can change the clock, what exactly are machines agreeing on? Inside this four-minute explanation: - why daylight saving is a local time-label rule, not a new definition of a second - how UTC, atomic clocks, GPS timing, and NTP keep machines aligned - why time-zone databases matter for calendars, flights, banking, logs, and reminders - why a one-microsecond timing error can mean about 300 meters of location error Follow In Simple Terms with Satish for one clear technology explanation every day. Open once a day. Learn one concept. Leave smarter. Disclosure: This episode uses authorized synthetic narration based on Satish's own voice. The topic, script, and final editorial approval are by Satish. Sources: - https://www.reuters.com/world/us/us-house-votes-make-daylight-saving-time-permanent-2026-07-14/ - https://clerk.house.gov/Votes/2026238 - https://www.congress.gov/bill/119th-congress/house-bill/139/text - https://www.iana.org/time-zones - https://www.bipm.org/en/measurement-units

    What Exactly Is Time, And How Do Machines Agree On It?
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About

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.

Information

  • Creator
    Satish Choudhary
  • Years Active
    2025 - 2026
  • Episodes
    118
  • Rating
    Clean
  • Copyright
    © Satish Choudhary
  • Show Website
    In Simple Terms with Satish