<rss version="2.0" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Hacker News: alexkranias</title><link>https://news.ycombinator.com/user?id=alexkranias</link><description>Hacker News RSS</description><docs>https://hnrss.org/</docs><generator>hnrss v2.1.1</generator><lastBuildDate>Sat, 16 May 2026 03:08:47 +0000</lastBuildDate><atom:link href="https://hnrss.org/user?id=alexkranias" rel="self" type="application/rss+xml"></atom:link><item><title><![CDATA[New comment by alexkranias in "Show HN: Diffuji – a diffusion-powered instant camera"]]></title><description><![CDATA[
<p>We were looking into OnnxStream (<a href="https://github.com/vitoplantamura/OnnxStream" rel="nofollow">https://github.com/vitoplantamura/OnnxStream</a>) and modifying it to support img2img. We got pretty close but yeah capability of running diffusion models on a Raspi are quite limited lol.<p>Alternatively we could use compute from your iPhone, but it adds additional dependencies to external hardware that I don't quite like. We could use a Jetson, but then power draw is quite high. I agree with you that on-device inference is the holy grail, but figuring out the best approach is something we are still trying to figure out.</p>
]]></description><pubDate>Mon, 16 Feb 2026 18:53:05 +0000</pubDate><link>https://news.ycombinator.com/item?id=47038711</link><dc:creator>alexkranias</dc:creator><comments>https://news.ycombinator.com/item?id=47038711</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=47038711</guid></item><item><title><![CDATA[New comment by alexkranias in "Show HN: Diffuji – a diffusion-powered instant camera"]]></title><description><![CDATA[
<p>Hey it's Alex, I was one of the creators of this project. We thought it would be fun to experiment with this odd mix of real, physical media and altering reality with diffusion models. I'm very happy with the results lol!<p>The entire thing can be built for around ~$35-40.<p>Here's our parts list:
- Raspberry pi 2w for its low power draw, wifi capabilities, decent memory (512mb), and low cost ($15). Also with a arducam
- Cheap TTL Aliexpress thermal printer along with sticker thermal paper
- Rotary encoder for switching modes, push button for our shutter, and tactile switch for our power switch
- I2C OLED display for display our modes and settings
- 2 18650 batteries and a 3amp 5v UPS supply, enabling good battery life and regulation. We also add a 1000uF capacity to guard against current spikes from the printer.<p>We have a longer write up on our devpost: <a href="https://devpost.com/software/diffuji?ref_content=user-portfolio&ref_feature=in_progress" rel="nofollow">https://devpost.com/software/diffuji?ref_content=user-portfo...</a><p>We submitted this for Treehacks 2026, and ended up winning the Most Creative grand prize :)</p>
]]></description><pubDate>Mon, 16 Feb 2026 18:50:51 +0000</pubDate><link>https://news.ycombinator.com/item?id=47038674</link><dc:creator>alexkranias</dc:creator><comments>https://news.ycombinator.com/item?id=47038674</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=47038674</guid></item><item><title><![CDATA[Recreating Hi8]]></title><description><![CDATA[
<p>Article URL: <a href="https://alexkranias.com/essays/hi8.html">https://alexkranias.com/essays/hi8.html</a></p>
<p>Comments URL: <a href="https://news.ycombinator.com/item?id=46976414">https://news.ycombinator.com/item?id=46976414</a></p>
<p>Points: 1</p>
<p># Comments: 0</p>
]]></description><pubDate>Wed, 11 Feb 2026 15:47:53 +0000</pubDate><link>https://alexkranias.com/essays/hi8.html</link><dc:creator>alexkranias</dc:creator><comments>https://news.ycombinator.com/item?id=46976414</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=46976414</guid></item><item><title><![CDATA[Attention Sinks and Compression Valleys in LLMs]]></title><description><![CDATA[
<p>Article URL: <a href="https://arxiv.org/abs/2510.06477">https://arxiv.org/abs/2510.06477</a></p>
<p>Comments URL: <a href="https://news.ycombinator.com/item?id=46976396">https://news.ycombinator.com/item?id=46976396</a></p>
<p>Points: 1</p>
<p># Comments: 0</p>
]]></description><pubDate>Wed, 11 Feb 2026 15:45:50 +0000</pubDate><link>https://arxiv.org/abs/2510.06477</link><dc:creator>alexkranias</dc:creator><comments>https://news.ycombinator.com/item?id=46976396</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=46976396</guid></item><item><title><![CDATA[Show HN: Compressing a Histogram from 16GB to 2KB]]></title><description><![CDATA[
<p>Thought I'd dive into this cool streaming/approximation algorithms problem I encountered a few months ago.<p>TLDR: we can create our own custom floating point representation for encoding and decoding integers and use this to index into a tiny 2D histogram, upper-bounding approximation error based on the number of bits per integer we specify to keep.<p>---<p>Broadly useful for aggregating statistics from massive data streams of user data. Also turns out this is incredibly similar to data structures used in production, like HDRHistogram.</p>
<hr>
<p>Comments URL: <a href="https://news.ycombinator.com/item?id=46634366">https://news.ycombinator.com/item?id=46634366</a></p>
<p>Points: 5</p>
<p># Comments: 0</p>
]]></description><pubDate>Thu, 15 Jan 2026 15:54:46 +0000</pubDate><link>https://alexkranias.com/essays/histogram.html</link><dc:creator>alexkranias</dc:creator><comments>https://news.ycombinator.com/item?id=46634366</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=46634366</guid></item><item><title><![CDATA["Numbers Everyone Should Know" from Jeff Dean]]></title><description><![CDATA[
<p>Article URL: <a href="https://brenocon.com/dean_perf.html">https://brenocon.com/dean_perf.html</a></p>
<p>Comments URL: <a href="https://news.ycombinator.com/item?id=45940169">https://news.ycombinator.com/item?id=45940169</a></p>
<p>Points: 3</p>
<p># Comments: 0</p>
]]></description><pubDate>Sat, 15 Nov 2025 20:03:16 +0000</pubDate><link>https://brenocon.com/dean_perf.html</link><dc:creator>alexkranias</dc:creator><comments>https://news.ycombinator.com/item?id=45940169</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=45940169</guid></item><item><title><![CDATA[New comment by alexkranias in "The FFT Strikes Back: An Efficient Alternative to Self-Attention"]]></title><description><![CDATA[
<p>Is this not just a global convolution?</p>
]]></description><pubDate>Mon, 03 Mar 2025 13:40:29 +0000</pubDate><link>https://news.ycombinator.com/item?id=43241602</link><dc:creator>alexkranias</dc:creator><comments>https://news.ycombinator.com/item?id=43241602</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=43241602</guid></item></channel></rss>