Deep Parmar's perspectives on AI innovation, software engineering, and industry best practices.
AI in 2026 is software that learns patterns from data and uses them to predict or generate things — minus the magic and the menace. Part 1 of a plain-English series on what AI really is, by someone who builds it.
AI does not think. It predicts the next word, over and over, based on patterns it learned from huge amounts of text. There is no understanding, and no mind.
AI "hallucinates" because it predicts plausible-sounding text, not verified truth. When a confident wrong answer is statistically likely, it produces it anyway.
You get far better results from AI by telling it who it is, giving it context, showing one example, and stating the format you want. Five simple moves, no jargon.
With most cloud AI tools, what you type or upload is sent to a company's servers and may be stored or used to improve their models. On-device AI keeps it on your machine.
On-device AI runs the model locally on your phone, laptop, or browser — so it works offline, keeps your data private, and costs nothing per use.
In most cases AI automates tasks, not whole jobs. The person who uses AI well tends to replace the one who doesn't — rather than AI replacing both.
AI now works in Indian languages — imperfectly but usefully. That, more than English chatbots, is what will bring AI to the next half-billion Indians.
Start with one painful, repetitive task. Use an off-the-shelf tool before building anything. Measure whether it saved time or money before expanding.
Expect AI to get more useful, more boring, and more invisible — woven into ordinary tools — not a sudden sci-fi takeover by conscious machines.
India's DPDP Act 2023 is in force. If your business or your AI tools process customers' personal data, you have concrete legal obligations — and AI makes several of them harder to meet by default.
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