Chinmay Nakwa (@primus2901) header
Chinmay Nakwa (@primus2901) profile picture

GenAI Engineer Intern @Tickernaut

Joined July 2024
Photo by Chinmay Nakwa (@primus2901)Photo by Chinmay Nakwa (@primus2901)Photo by Chinmay Nakwa (@primus2901)Photo by Chinmay Nakwa (@primus2901)Photo by Chinmay Nakwa (@primus2901)Photo by Chinmay Nakwa (@primus2901)Photo by Chinmay Nakwa (@primus2901)Photo by Chinmay Nakwa (@primus2901)Photo by Chinmay Nakwa (@primus2901)Photo by Chinmay Nakwa (@primus2901)
Nice to meet you, @TREX__Capital team!
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Stopped by the @noderails booth at @ETHGlobal! 🚀 Really impressive to see crypto payments getting simpler with gasless checkout, stablecoin settlements and chargeback support. Loved exploring @wallcardapp too! @chiefmohitbhat #NRL #NodeRails
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The book of nature is written in the language of mathematics. ~Galileo Galilei
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Vision getting exorcised was NOT on my 2026 bingo card. 😭
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Ever read a book, looked up a word, and couldn't recall it a few days later? I'm building Lingo to fix that. You save the words you meet, and the app helps you remember them.
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Got a book just to get blinkit free delivery 😶‍🌫️
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1st page😶‍🌫️
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😇
Introducing Claude Opus 5.5, the first model in our new Claude 5.5 family. It performs at the level of Claude Fable 5.1 for most tasks, and costs 40% less to run than Opus 5.
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Couldn’t have found a better time to relate
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Can’t wait for the Android version!!
If doomscrolling X is part of your research workflow, we built something for you. Introducing Paperscrolling 🚀 Get the most trending research with key ideas, figures, and audio explanations from alphaXiv Briefs
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Prompt engineering asks: "how do I phrase this?" Context engineering asks: "what does the model even need to see?" One's about wording. The other's about the entire information environment: system prompt, retrieved docs, tool outputs, conversation history.
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Bad: "Schedule an appointment for this patient." Good: same prompt + clinic policies + doctor availability + patient prefs + live scheduling API output.Same model. Wildly different answer quality. That's context engineering.
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Counterintuitive finding: bigger context windows ≠ better performance.Dump in 4,000 pages of irrelevant Slack messages and the model struggles just like you would. Researchers call this "context rot."More isn't the goal. Relevant is.
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Bad: "Schedule an appointment for this patient." Good: same prompt + clinic policies + doctor availability + patient prefs + live scheduling API output.Same model. Wildly different answer quality. That's context engineering.
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