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* Create attendees.adoc * feat: add final summary #251 content * Delete summary/sessions/246/attendees.adoc * Fix link formatting in content.adoc * feat: add attendee list for #251 * Update summary/sessions/251/attendees.adoc Co-authored-by: Ankush Kapoor <[email protected]> * Fix formatting of links in content.adoc * Update content.adoc fixed date, bolding of texts and broken link --------- Co-authored-by: Ankush Kapoor <[email protected]>
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==== Attendees
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. link:https://twitter.com/BafnaAbhigyan[Abhigyan Bafna^]
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. link:https://x.com/Alpastx[Alpesh Bhagwatkar^]
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. link:https://linkedin.com/in/aniket-kadam-65b172a8[Aniket Kadam^]
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. link:https://twitter.com/harshgkapadia[Harsh Kapadia^]
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. link:https://twitter.com/furtado_jaden[Jaden Furtado^]
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. link:https://twitter.com/rishit_dagli[Rishit Dagli^]
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. link:https://twitter.com/swpnlbrkr[Swapnil Borkar^]
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. link:https://twitter.com/WilfredAlmeida_[Wilfred Almeida^]
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. Ayush
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. Ayush More
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. Chetan Jangir
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. Krupal Vasani
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. Lucky Mee
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. Manan Gandhi
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. Mohammad Kaif
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. Nebuluak
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. Nirmal Panchal
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. Sahil Bansal

summary/sessions/251/content.adoc

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Date: 30-08-2025
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Duration: 3 hours,4 minutes
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==== Topics Discussed
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* Ayush kicked off a discussion on probability and algorithms, specifically diving into entropy encoders like Huffman, Arithmetic, rANS, and tANS.
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** He broke down concepts like `Log2(number of symbols)` and `2^n` in coding.
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** He also explained arithmetic coding, highlighting its efficiency from `O(2^n)` to `O(n)`, and touched on cumulative frequency and probability functions.
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*** link:https://stanforddatacompressionclass.github.io/Fall22/lectures[Stanford Data Compression Class Lectures^]
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* Lucky Mee, who's returning to tech after some time, asked for advice.
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** Harsh strongly suggested focusing on system designs and also emphasized the importance of planning thoroughly before execution.
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* Abhigyan showcased his project on stock analysis using AI agents.
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** He shared a research report he generated from the agents and demonstrated how these reports provided structured outputs, detailing weaknesses, strengths, conclusions, graphs, and metrics.
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*** link:https://www.deeplearning.ai/the-batch[DeepLearning.AI The Batch Newsletter^]
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*** link:https://platform.openai.com/docs/guides/structured-outputs[OpenAI Guides: Structured Outputs^]
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* Chetan Jahangir shared some insights about Builder AI.
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** He mentioned how the company allegedly scammed Microsoft.
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** This sparked a conversation about how we should approach data derived from AI and LLMs.
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* Ayush provided an update on his SIH project.
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** He's concentrating on smart system design for hardware.
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** He's currently learning about the STM32 microprocessor.
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*** link:https://en.wikipedia.org/wiki/STM32[STM32 Wikipedia^]
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*** link:https://www.st.com/en/evaluation-tools/stm32-nucleo-boards.html[STM32 Nucleo Boards - STMicroelectronics^]
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* Harsh questioned how MCP (Multiple Connected Models) relates to agentic AI.
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** Abhigyan and Chetan clarified that it's essentially multiple models linked to a central one.
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** They illustrated this with an example: a request for a weather update goes to the MCP, which then routes it to various models, with the configuration depending on the user.
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* Chetan Jahangir sought advice on getting started with research papers.
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** He asked for tips on how to begin and how to connect with people who write research papers to get involved and share knowledge.
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** Rishit suggested reaching out to seniors and their professors.
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*** link:https://icml.cc/Conferences/2022/BestPractices[ICML 2022 Best Practices for Research^]
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* Swapnil Borkar discussed AI and its impact on jobs.
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** He shared concerns about how AI could threaten junior roles if not utilized effectively.
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* Jaden Furtado talked about UPI, UPI Lite, and UPI Lite X.
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** link:https://www.npci.org.in/what-we-do/upi-lite/product-overview[UPI Lite Product Overview - NPCI^]
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** link:https://www.npci.org.in/what-we-do/upi-lite/upi-lite-x/product-overview[UPI Lite X Product Overview - NPCI^]
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* Additional resources and links
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** link:https://people.math.harvard.edu/~ctm/home/text/others/shannon/entropy/entropy.pdf[A Mathematical Theory of Communication by C. E. Shannon^]
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** link:https://stanforddatacompressionclass.github.io/Fall22[Stanford Data Compression Course Home^]
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** link:https://youtu.be/BiuknvAYDPs[OTC Talks #7: The Browser Backstage - Peek-in-Perf by @VivekGalatage^]
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** link:https://youtu.be/8_GgeASwHwQ[Google’s nano banana just killed Photoshop... let’s run it - Fireship^]
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** link:https://youtu.be/QgVR1dxy6zk[it only took 2 lines of code... - Low Level^]
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** link:https://youtu.be/fpkCNu_dzcM[CPU Summary - Computerphile^]
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** link:https://youtu.be/tnPAhVxsPHE[Your iPhone is Lying to You About Files... - LaurieWired^]
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** link:https://youtu.be/D4hNLgJmshg[The Operating System Known As GNU/Linux - Brodie Robertson^]
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** link:https://youtu.be/O9QD9an-0jU[well this isn't great... - Low Level^]
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** link:https://youtu.be/pOF11EDprxc[Deno vs Oracle: The ugly custody battle for JavaScript… - Fireship^]
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** link:https://youtu.be/rcBVqcoQkuA([Bash Pipes in C - Tsoding Daily^]
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** link:https://youtu.be/_bbuRFT2l-Q[AI Trends in 2025 - Gaurav Sen^]
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** link:https://youtu.be/2JzOe1Hs26Q[Accidentally Built a Nuclear Supercomputer. - PewDiePie^]
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** link:https://youtu.be/fzlflyw7X2I[The Next Big SHA? SHA3 Sponge Function Explained - Computerphile^]
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** link:https://youtu.be/55MwAlcpvK4[The Operating System Known As Linux - Brodie Robertson^]
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** link:https://ai.pydantic.dev/agents[Pydantic AI Agents Documentation^]
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** link:https://youtu.be/PhCrlpUwEhU[Agentic RAG: An End-to-End Open Source Framework - Weaviate^]
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** link:https://medium.com/@thomas_78526/builder-ai-was-a-scam-d1f8fdd16c3f[Builder.ai Was a Scam - Medium Article^]
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** link:https://github.com/TecharoHQ/anubis[Anubis GitHub Project (TecharoHQ)^]
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** link:https://www.beatflow.art[Beatflow Art Platform^]

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