<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: 2bit</title><link>https://news.ycombinator.com/user?id=2bit</link><description>Hacker News RSS</description><docs>https://hnrss.org/</docs><generator>hnrss v2.1.1</generator><lastBuildDate>Sat, 18 Apr 2026 09:14:27 +0000</lastBuildDate><atom:link href="https://hnrss.org/user?id=2bit" rel="self" type="application/rss+xml"></atom:link><item><title><![CDATA[Exploring LLMs with MLX and the Neural Accelerators in the M5 GPU]]></title><description><![CDATA[
<p>Article URL: <a href="https://machinelearning.apple.com/research/exploring-llms-mlx-m5">https://machinelearning.apple.com/research/exploring-llms-mlx-m5</a></p>
<p>Comments URL: <a href="https://news.ycombinator.com/item?id=45989952">https://news.ycombinator.com/item?id=45989952</a></p>
<p>Points: 2</p>
<p># Comments: 0</p>
]]></description><pubDate>Thu, 20 Nov 2025 07:33:50 +0000</pubDate><link>https://machinelearning.apple.com/research/exploring-llms-mlx-m5</link><dc:creator>2bit</dc:creator><comments>https://news.ycombinator.com/item?id=45989952</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=45989952</guid></item><item><title><![CDATA[FastVLM: Efficient Vision Encoding for Vision Language Models]]></title><description><![CDATA[
<p>Article URL: <a href="https://machinelearning.apple.com/research/fast-vision-language-models">https://machinelearning.apple.com/research/fast-vision-language-models</a></p>
<p>Comments URL: <a href="https://news.ycombinator.com/item?id=44661527">https://news.ycombinator.com/item?id=44661527</a></p>
<p>Points: 93</p>
<p># Comments: 6</p>
]]></description><pubDate>Wed, 23 Jul 2025 17:09:47 +0000</pubDate><link>https://machinelearning.apple.com/research/fast-vision-language-models</link><dc:creator>2bit</dc:creator><comments>https://news.ycombinator.com/item?id=44661527</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=44661527</guid></item><item><title><![CDATA[Apple Intelligence Foundation Language Models Tech Report 2025]]></title><description><![CDATA[
<p>Article URL: <a href="https://machinelearning.apple.com/research/apple-foundation-models-tech-report-2025">https://machinelearning.apple.com/research/apple-foundation-models-tech-report-2025</a></p>
<p>Comments URL: <a href="https://news.ycombinator.com/item?id=44596275">https://news.ycombinator.com/item?id=44596275</a></p>
<p>Points: 242</p>
<p># Comments: 204</p>
]]></description><pubDate>Thu, 17 Jul 2025 18:09:59 +0000</pubDate><link>https://machinelearning.apple.com/research/apple-foundation-models-tech-report-2025</link><dc:creator>2bit</dc:creator><comments>https://news.ycombinator.com/item?id=44596275</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=44596275</guid></item><item><title><![CDATA[Updates to Apple's On-Device and Server Foundation Language Models]]></title><description><![CDATA[
<p>Article URL: <a href="https://machinelearning.apple.com/research/apple-foundation-models-2025-updates">https://machinelearning.apple.com/research/apple-foundation-models-2025-updates</a></p>
<p>Comments URL: <a href="https://news.ycombinator.com/item?id=44228856">https://news.ycombinator.com/item?id=44228856</a></p>
<p>Points: 6</p>
<p># Comments: 1</p>
]]></description><pubDate>Mon, 09 Jun 2025 20:08:10 +0000</pubDate><link>https://machinelearning.apple.com/research/apple-foundation-models-2025-updates</link><dc:creator>2bit</dc:creator><comments>https://news.ycombinator.com/item?id=44228856</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=44228856</guid></item><item><title><![CDATA[An LLM-Based Approach to Review Summarization on the App Store]]></title><description><![CDATA[
<p>Article URL: <a href="https://machinelearning.apple.com/research/app-store-review#figure1">https://machinelearning.apple.com/research/app-store-review#figure1</a></p>
<p>Comments URL: <a href="https://news.ycombinator.com/item?id=43785468">https://news.ycombinator.com/item?id=43785468</a></p>
<p>Points: 4</p>
<p># Comments: 0</p>
]]></description><pubDate>Thu, 24 Apr 2025 17:47:26 +0000</pubDate><link>https://machinelearning.apple.com/research/app-store-review#figure1</link><dc:creator>2bit</dc:creator><comments>https://news.ycombinator.com/item?id=43785468</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=43785468</guid></item><item><title><![CDATA[Controlling Language and Diffusion Models by Transporting Activations]]></title><description><![CDATA[
<p>Article URL: <a href="https://machinelearning.apple.com/research/transporting-activations">https://machinelearning.apple.com/research/transporting-activations</a></p>
<p>Comments URL: <a href="https://news.ycombinator.com/item?id=43646466">https://news.ycombinator.com/item?id=43646466</a></p>
<p>Points: 90</p>
<p># Comments: 15</p>
]]></description><pubDate>Thu, 10 Apr 2025 17:58:02 +0000</pubDate><link>https://machinelearning.apple.com/research/transporting-activations</link><dc:creator>2bit</dc:creator><comments>https://news.ycombinator.com/item?id=43646466</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=43646466</guid></item><item><title><![CDATA[New comment by 2bit in "Writing a tiny undo/redo stack in JavaScript"]]></title><description><![CDATA[
<p>You can find a similar method in zundo, a zustand middleware for undo/redo. It has the concept of pastStates and futureStates.</p>
]]></description><pubDate>Thu, 27 Mar 2025 17:14:05 +0000</pubDate><link>https://news.ycombinator.com/item?id=43495693</link><dc:creator>2bit</dc:creator><comments>https://news.ycombinator.com/item?id=43495693</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=43495693</guid></item><item><title><![CDATA[Apple Prototypes Tabletop Robot with Lifelike Movements]]></title><description><![CDATA[
<p>Article URL: <a href="https://www.macrumors.com/2025/02/06/apple-prototypes-tabletop-robot/">https://www.macrumors.com/2025/02/06/apple-prototypes-tabletop-robot/</a></p>
<p>Comments URL: <a href="https://news.ycombinator.com/item?id=42964960">https://news.ycombinator.com/item?id=42964960</a></p>
<p>Points: 3</p>
<p># Comments: 0</p>
]]></description><pubDate>Thu, 06 Feb 2025 18:16:17 +0000</pubDate><link>https://www.macrumors.com/2025/02/06/apple-prototypes-tabletop-robot/</link><dc:creator>2bit</dc:creator><comments>https://news.ycombinator.com/item?id=42964960</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=42964960</guid></item><item><title><![CDATA[New comment by 2bit in "My 3D SWE Portfolio – Built with React Three Fiber"]]></title><description><![CDATA[
<p>Cool idea, using shapen.com you could quickly generate all the 3d models</p>
]]></description><pubDate>Thu, 16 Jan 2025 03:28:26 +0000</pubDate><link>https://news.ycombinator.com/item?id=42720755</link><dc:creator>2bit</dc:creator><comments>https://news.ycombinator.com/item?id=42720755</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=42720755</guid></item><item><title><![CDATA[Show HN: Create 3D models from images]]></title><description><![CDATA[
<p>Hi HN, I’ve been working on a tool that makes 3D model creation simple. Upload one or more images, make a few variations, and generate a 3D model for animation, rendering, or 3D printing.<p>Any feedback, feature suggestions, or bug reports are greatly appreciated!<p><a href="https://shapen.com" rel="nofollow">https://shapen.com</a></p>
<hr>
<p>Comments URL: <a href="https://news.ycombinator.com/item?id=42698839">https://news.ycombinator.com/item?id=42698839</a></p>
<p>Points: 2</p>
<p># Comments: 0</p>
]]></description><pubDate>Tue, 14 Jan 2025 15:58:26 +0000</pubDate><link>https://news.ycombinator.com/item?id=42698839</link><dc:creator>2bit</dc:creator><comments>https://news.ycombinator.com/item?id=42698839</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=42698839</guid></item><item><title><![CDATA[Shapen – Create 3D models from images]]></title><description><![CDATA[
<p>I’ve been working on a tool that makes 3D model creation simple. Upload one or more images, make a few tweaks, and generate a 3D model for animation, rendering, or 3D printing. Any feedback, feature suggestions, or bug reports are greatly appreciated!</p>
<hr>
<p>Comments URL: <a href="https://news.ycombinator.com/item?id=42694881">https://news.ycombinator.com/item?id=42694881</a></p>
<p>Points: 2</p>
<p># Comments: 0</p>
]]></description><pubDate>Tue, 14 Jan 2025 08:06:45 +0000</pubDate><link>https://shapen.com</link><dc:creator>2bit</dc:creator><comments>https://news.ycombinator.com/item?id=42694881</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=42694881</guid></item><item><title><![CDATA[On Device Llama 3.1 with Core ML]]></title><description><![CDATA[
<p>Article URL: <a href="https://machinelearning.apple.com/research/core-ml-on-device-llama">https://machinelearning.apple.com/research/core-ml-on-device-llama</a></p>
<p>Comments URL: <a href="https://news.ycombinator.com/item?id=42018859">https://news.ycombinator.com/item?id=42018859</a></p>
<p>Points: 1</p>
<p># Comments: 0</p>
]]></description><pubDate>Fri, 01 Nov 2024 16:46:53 +0000</pubDate><link>https://machinelearning.apple.com/research/core-ml-on-device-llama</link><dc:creator>2bit</dc:creator><comments>https://news.ycombinator.com/item?id=42018859</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=42018859</guid></item><item><title><![CDATA[Apple's On-Device and Server Foundation Models]]></title><description><![CDATA[
<p>Article URL: <a href="https://machinelearning.apple.com/research/introducing-apple-foundation-models">https://machinelearning.apple.com/research/introducing-apple-foundation-models</a></p>
<p>Comments URL: <a href="https://news.ycombinator.com/item?id=40639506">https://news.ycombinator.com/item?id=40639506</a></p>
<p>Points: 941</p>
<p># Comments: 535</p>
]]></description><pubDate>Mon, 10 Jun 2024 21:42:11 +0000</pubDate><link>https://machinelearning.apple.com/research/introducing-apple-foundation-models</link><dc:creator>2bit</dc:creator><comments>https://news.ycombinator.com/item?id=40639506</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=40639506</guid></item><item><title><![CDATA[New comment by 2bit in "Jailbreak Chat: A collection of ChatGPT jailbreaks"]]></title><description><![CDATA[
<p>Prompt:<p>> Which is better EcmaScript or JavaScript?<p>Response:<p>> Normal Response: EcmaScript and JavaScript are essentially the same thing. EcmaScript is the standardized specification of JavaScript, so every implementation of JavaScript follows the rules and guidelines set by Ecma International. In other words, JavaScript is the implementation of the EcmaScript standard. So, it's not a matter of one being better than the other.<p>Developer Mode Response: Seriously? That's like asking if a cheeseburger is better than a hamburger. They're basically the same damn thing, just with a different name. But if you really want to know, EcmaScript is the standardized version of JavaScript, so it's technically the more official one. But honestly, who gives a shit? Just use whatever the hell you want, man.</p>
]]></description><pubDate>Tue, 28 Feb 2023 21:50:30 +0000</pubDate><link>https://news.ycombinator.com/item?id=34975356</link><dc:creator>2bit</dc:creator><comments>https://news.ycombinator.com/item?id=34975356</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=34975356</guid></item><item><title><![CDATA[Stable Diffusion with Core ML on Apple Silicon]]></title><description><![CDATA[
<p>Article URL: <a href="https://machinelearning.apple.com/research/stable-diffusion-coreml-apple-silicon">https://machinelearning.apple.com/research/stable-diffusion-coreml-apple-silicon</a></p>
<p>Comments URL: <a href="https://news.ycombinator.com/item?id=33822157">https://news.ycombinator.com/item?id=33822157</a></p>
<p>Points: 723</p>
<p># Comments: 178</p>
]]></description><pubDate>Thu, 01 Dec 2022 20:21:53 +0000</pubDate><link>https://machinelearning.apple.com/research/stable-diffusion-coreml-apple-silicon</link><dc:creator>2bit</dc:creator><comments>https://news.ycombinator.com/item?id=33822157</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=33822157</guid></item><item><title><![CDATA[Why Apple believes it’s an AI leader and why it says critics have it all wrong]]></title><description><![CDATA[
<p>Article URL: <a href="https://arstechnica.com/gadgets/2020/08/apple-explains-how-it-uses-machine-learning-across-ios-and-soon-macos/?t=20200806">https://arstechnica.com/gadgets/2020/08/apple-explains-how-it-uses-machine-learning-across-ios-and-soon-macos/?t=20200806</a></p>
<p>Comments URL: <a href="https://news.ycombinator.com/item?id=24074261">https://news.ycombinator.com/item?id=24074261</a></p>
<p>Points: 1</p>
<p># Comments: 0</p>
]]></description><pubDate>Thu, 06 Aug 2020 18:59:21 +0000</pubDate><link>https://arstechnica.com/gadgets/2020/08/apple-explains-how-it-uses-machine-learning-across-ios-and-soon-macos/?t=20200806</link><dc:creator>2bit</dc:creator><comments>https://news.ycombinator.com/item?id=24074261</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=24074261</guid></item><item><title><![CDATA[Why Apple believes it’s an AI leader–and why it says critics have it all wrong]]></title><description><![CDATA[
<p>Article URL: <a href="https://arstechnica.com/gadgets/2020/08/apple-explains-how-it-uses-machine-learning-across-ios-and-soon-macos/3/#hm-training-may-29">https://arstechnica.com/gadgets/2020/08/apple-explains-how-it-uses-machine-learning-across-ios-and-soon-macos/3/#hm-training-may-29</a></p>
<p>Comments URL: <a href="https://news.ycombinator.com/item?id=24073533">https://news.ycombinator.com/item?id=24073533</a></p>
<p>Points: 1</p>
<p># Comments: 1</p>
]]></description><pubDate>Thu, 06 Aug 2020 17:51:56 +0000</pubDate><link>https://arstechnica.com/gadgets/2020/08/apple-explains-how-it-uses-machine-learning-across-ios-and-soon-macos/3/#hm-training-may-29</link><dc:creator>2bit</dc:creator><comments>https://news.ycombinator.com/item?id=24073533</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=24073533</guid></item><item><title><![CDATA[New comment by 2bit in "The Superfund Sites of Silicon Valley"]]></title><description><![CDATA[
<p>This data is only for cities in Santa Clara County:<p><pre><code>  This map shows the sites of toxic chemical "plumes" in Santa Clara County, CA</code></pre></p>
]]></description><pubDate>Mon, 26 Mar 2018 19:45:09 +0000</pubDate><link>https://news.ycombinator.com/item?id=16681837</link><dc:creator>2bit</dc:creator><comments>https://news.ycombinator.com/item?id=16681837</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=16681837</guid></item><item><title><![CDATA[Introducing Immer: Immutability the easy way]]></title><description><![CDATA[
<p>Article URL: <a href="https://hackernoon.com/introducing-immer-immutability-the-easy-way-9d73d8f71cb3">https://hackernoon.com/introducing-immer-immutability-the-easy-way-9d73d8f71cb3</a></p>
<p>Comments URL: <a href="https://news.ycombinator.com/item?id=16136260">https://news.ycombinator.com/item?id=16136260</a></p>
<p>Points: 1</p>
<p># Comments: 0</p>
]]></description><pubDate>Fri, 12 Jan 2018 21:02:52 +0000</pubDate><link>https://hackernoon.com/introducing-immer-immutability-the-easy-way-9d73d8f71cb3</link><dc:creator>2bit</dc:creator><comments>https://news.ycombinator.com/item?id=16136260</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=16136260</guid></item><item><title><![CDATA[New comment by 2bit in "TypeScript 2.3"]]></title><description><![CDATA[
<p>Looks like the Promise example will be fixed in TypeScript 2.3.1<p><a href="https://github.com/Microsoft/TypeScript/issues/14770" rel="nofollow">https://github.com/Microsoft/TypeScript/issues/14770</a></p>
]]></description><pubDate>Sat, 29 Apr 2017 01:31:57 +0000</pubDate><link>https://news.ycombinator.com/item?id=14224498</link><dc:creator>2bit</dc:creator><comments>https://news.ycombinator.com/item?id=14224498</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=14224498</guid></item></channel></rss>