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    <title>Posts on AI to Z: Navigating the Alphabet Soup</title>
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    <description>Recent content in Posts on AI to Z: Navigating the Alphabet Soup</description>
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      <title>AI to Z: Navigating the Alphabet Soup</title>
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      <title>Check the Fridge Before You Wake Gemma</title>
      <link>https://kshreyas.dev/post/system-one-two/</link>
      <pubDate>Tue, 06 Oct 2026 00:00:00 +0000</pubDate>
      
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      <description>EmbeddingGemma 2 finds your memories, a small decision model decides whether one already answers you, and Gemma 4 only runs when it has to. All in the browser.</description>
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      <title>Small Models Decide, Code Does, LLMs Think</title>
      <link>https://kshreyas.dev/post/decide-do-think/</link>
      <pubDate>Sat, 26 Sep 2026 00:00:00 +0000</pubDate>
      
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      <description>Jev started the System One debate. The model is only a third of the answer: small models decide, code does, and LLMs think, only when they have to.</description>
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      <title>बोल — Shipping Marathi TTS in Your Browser</title>
      <link>https://kshreyas.dev/post/bol-tts-marathi/</link>
      <pubDate>Tue, 05 May 2026 00:00:00 +0000</pubDate>
      
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      <description>I shipped a 326 MB Marathi text-to-speech model that runs entirely in your browser via WebGPU — no server, no API keys, just &amp;lt;audio&amp;gt; and a phoneme tokenizer in TypeScript. Type Marathi (or Marathi mixed with English — Minglish), pick a voice, hit synthesize.
Try it yourself: huggingface.co/spaces/shreyask/bol-tts-marathi. Requires WebGPU (Chrome 113+, Edge 113+). The model is ~326 MB, loads once, then cached in your browser. First load takes ~30s; subsequent visits are instant.</description>
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      <title>I Gave an AI a Vocabulary of Only Emoji — And It Started to Communicate</title>
      <link>https://kshreyas.dev/post/pantheon-ui/</link>
      <pubDate>Sat, 11 Apr 2026 00:00:00 +0000</pubDate>
      
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      <description>In AMC&amp;rsquo;s Pantheon, a scientist named David Kim is uploaded — his mind digitized, his body gone. His daughter discovers he&amp;rsquo;s still there, trapped inside a computer, when he starts sending her emoji through her phone. He can think in full sentences. He can remember. He can love. But the only channel he has to reach her is the emoji keyboard.
I couldn&amp;rsquo;t stop thinking about that scene. So I built it.</description>
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    <item>
      <title>Take Back Your Feed: Building a Privacy-First ML-Powered Content Filter</title>
      <link>https://kshreyas.dev/post/sift/</link>
      <pubDate>Tue, 24 Feb 2026 00:00:00 +0000</pubDate>
      
      <guid>https://kshreyas.dev/post/sift/</guid>
      <description>Every feed you use — Hacker News, Reddit, X — has the same problem. Either it&amp;rsquo;s chronological and you&amp;rsquo;re drowning in noise, or it&amp;rsquo;s ranked by an algorithm optimizing for engagement, not your actual interests. You scroll past 90% of what you see, hoping something relevant catches your eye before the dopamine loop wins.
The usual solutions don&amp;rsquo;t help much. RSS gives you firehose-level control but no ranking. Keyword filters are blunt — blocking &amp;ldquo;crypto&amp;rdquo; also hides legitimate cryptography research.</description>
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      <title>From Sound to Text in Real-Time: Understanding Voxtral Realtime</title>
      <link>https://kshreyas.dev/post/voxtral-realtime/</link>
      <pubDate>Mon, 16 Feb 2026 00:00:00 +0000</pubDate>
      
      <guid>https://kshreyas.dev/post/voxtral-realtime/</guid>
      <description>Most speech-to-text models work like a translator reading an entire letter before responding — they need the full audio clip before they can produce any text. But what if your model could transcribe speech as it&amp;rsquo;s being spoken, word by word, with barely any delay?
That&amp;rsquo;s exactly what Voxtral Mini 4B Realtime does. Released by Mistral AI under the Apache 2.0 license, it&amp;rsquo;s a 4-billion parameter model that can transcribe audio in real-time with delays as low as 80 milliseconds.</description>
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    <item>
      <title>Anudina App Support</title>
      <link>https://kshreyas.dev/post/support-anudina/</link>
      <pubDate>Fri, 16 May 2025 00:00:00 +0000</pubDate>
      
      <guid>https://kshreyas.dev/post/support-anudina/</guid>
      <description>Anudina App Support Thank you for using Anudina!
Anudina is a local iOS HealthKit-based wellness app designed to help you track and understand your health metrics. All your data stays on your device.
Getting Help If you have any questions, encounter issues, or want to provide feedback regarding the Anudina app, please don&amp;rsquo;t hesitate to reach out.
Contact Us:
Email: 29.joggers.known@icloud.com We aim to respond to all inquiries as promptly as possible.</description>
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    <item>
      <title>Privacy Policy for Anudina</title>
      <link>https://kshreyas.dev/post/privacy-anudina/</link>
      <pubDate>Fri, 16 May 2025 00:00:00 +0000</pubDate>
      
      <guid>https://kshreyas.dev/post/privacy-anudina/</guid>
      <description>Privacy Policy for Anudina
Last updated: May 16, 2025
Introduction Anudina (“we”, “our”, or “us”) provides a local iOS HealthKit-based wellness app. This Privacy Policy explains what data we access, how we use it, and your rights.
Data We Access
HealthKit data: We request permission to read and/or write the following HealthKit samples on your device:
Sleep Analysis Heart Rate Variability Resting Heart Rate Step Count And other health metrics you choose to share No other personal data: We do not collect contacts, location, usage analytics, or any identifiable information.</description>
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    <item>
      <title>Avengers Assemble!: Uniting AI Agents for Advanced Problem-Solving</title>
      <link>https://kshreyas.dev/post/ai-agents/</link>
      <pubDate>Thu, 04 Jan 2024 00:00:00 +0000</pubDate>
      
      <guid>https://kshreyas.dev/post/ai-agents/</guid>
      <description>Imagine if, just like the Avengers, a team of specialized AI agents could come together, each with its unique strengths, to tackle complex problems. This isn&amp;rsquo;t a scene from a sci-fi movie; it&amp;rsquo;s the reality of modern artificial intelligence. In the world of AI, assistants and agents work in unison, much like a well-coordinated superhero team. Each AI agent, equipped with specific skills — be it data analysis, autonomous decision-making, or predictive analytics — joins forces to form a formidable swarm, ready to take on tasks ranging from mundane to monumental.</description>
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    <item>
      <title>Local LLMs as browser sidekicks</title>
      <link>https://kshreyas.dev/post/local-llms/</link>
      <pubDate>Thu, 30 Nov 2023 17:22:27 -0800</pubDate>
      
      <guid>https://kshreyas.dev/post/local-llms/</guid>
      <description>Introduction The rapidly evolving AI era presents new discoveries daily, particularly in software engineering, where AI assistants are now integral to our workflows. While these innovations have boosted productivity, they also bring challenges like:
Reliance on cloud-based services and closed models 🛅 Privacy and security concerns 🔒 Other barriers to entry 🚧 The Challenge of Cloud-Based and Proprietary Models According to the Chatbot arena leaderboard the top entries with high Elo ratings are all proprietary models.</description>
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      <title></title>
      <link>https://kshreyas.dev/post/about/</link>
      <pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate>
      
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      <description>AI to Z: Navigating the Alphabet Soup Notes from my journey into the world of engineering, AI, NLP, and productivity tools.
About Me I am Shreyas Karnik &amp;#x1f44b; a software engineer at Snowflake, and I&amp;rsquo;m passionate about the exciting worlds of software engineering, AI, and security.
You can find me on LinkedIn, GitHub and X.</description>
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