January 16th, 2023 | OpenAI drops ban on military tools to partner with The Pentagon
Jan 17, 2024
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Apple's recent policy changes in their iOS App Store, the fascinating mathematical phenomenon of Capricar's constant, TinyML as a game changer in AI, OpenAI's collaboration with the Pentagon, and discussions on system issues and the introduction of Stable Code 3B language model.
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Quick takeaways
Apple will allow developers to direct users to non-App Store purchase options while still collecting commissions, sparking debates on business practices and implications.
Mathematicians are fascinated by the constant number 6174, which can be reached by rearranging the digits of any four-digit number and repeatedly subtracting, leading to discussions on related concepts and math books.
Deep dives
Apple's App Store policy changes
Apple is altering its policies to allow developers to direct users to non-App Store purchase options for digital goods while still imposing a commission on such sales. Developers must apply for a store-kit external purchase link entitlement and adhere to security and privacy requirements. Debates in the comments revolve around Apple's business practices and the implications for developers and content providers, with anecdotes about Kindle app development and Adobe's flash publishing.
Capricar's constant and mathematical curiosities
Capricar's constant, the number 6174, captivates mathematicians. By rearranging the digits of any four-digit number and repeatedly subtracting the ascending and descending forms, one always arrives at 6174 within seven iterations. The comments feature discussions on the phenomenon, related concepts like like-roll numbers, and recommendations for math books. Commenters speculate on whether this mathematical curiosities exist in other numeric bases.
TinyML for low-power devices
TinyML is the adaptation of machine learning models for microcontrollers with minimal CPU, RAM, and power consumption. Techniques like pruning, quantization, and knowledge distillation are used to streamline complex algorithms. In the comments, there are discussions on practical applications, hardware like ESP32, optimization methods, and the advantages of single end-to-end models versus smaller specialized ones.
This is a recap of the top 10 posts on Hacker News on January 16th, 2023.
This podcast was generated by wondercraft.ai
(00:34): US developers can offer non-app store purchasing, Apple still collect commission Original post: https://news.ycombinator.com/item?id=39020365&utm_source=wondercraft_ai
(02:52): 6174 Original post: https://news.ycombinator.com/item?id=39018769&utm_source=wondercraft_ai
(05:29): TinyML: Ultra-low power machine learning Original post: https://news.ycombinator.com/item?id=39014866&utm_source=wondercraft_ai
(07:40): OpenAI drops ban on military tools to partner with The Pentagon Original post: https://news.ycombinator.com/item?id=39020778&utm_source=wondercraft_ai
(12:08): Post-mortem for last week's incident at Kagi Original post: https://news.ycombinator.com/item?id=39019119&utm_source=wondercraft_ai
(13:58): Stable Code 3B: Coding on the Edge Original post: https://news.ycombinator.com/item?id=39019532&utm_source=wondercraft_ai
(15:53): Is Google Getting Worse? A Longitudinal Investigation of SEO Spam in Search [pdf] Original post: https://news.ycombinator.com/item?id=39013497&utm_source=wondercraft_ai
(20:22): Web AI Model Testing: WebGPU, WebGL, and Headless Chrome Original post: https://news.ycombinator.com/item?id=39017607&utm_source=wondercraft_ai
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