June 29th, 2024 | Researchers at ETH Zurich develop the fastest possible flow algorithm
Jun 30, 2024
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Researchers at ETH Zurich develop the fastest flow algorithm, AirPods security vulnerability, Chrome integrating Nano AI model, and a new online archive of Picasso's works are discussed in this episode recap of Hacker News
12:49
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Quick takeaways
Factorio Lua security flaws show vulnerability to arbitrary code execution on clients, sparking debate on sandbox limitations.
ETH Zurich's algorithm for maximum transport flow sets a new speed benchmark, prompting discussions on real-world practicality and complexity.
Deep dives
Exploiting Factorio's Lua Vulnerability
Delving into Factorio's Lua implementation vulnerability, the post explains how malicious servers could execute arbitrary code on client machines. It highlights security oversights like the ability to compromise the game environment through harmful Lua scripts and creating custom maps. The discussion in the comments focuses on Lua's bytecode handling deficiencies, leading to debates on sandbox friendliness and alternative approaches like Luao. Various perspectives on untrusted code acceptance, performance trade-offs, and interpreter safety are also mentioned.
Innovative $1 Radar Motion Sensor
Exploring the RCWL0516 microwave motion sensor, the post showcases a radar motion sensor capable of detecting motion within a 5-meter range. Discussing the sensor's connection to power supply and ground, it emphasizes the effectiveness indoors due to its receiver and oscillation mechanisms. Commenters elaborate on Wi-Fi radar sensing with ESP32 boards, presence detection applications, and cost-efficient home automation solutions.
Revolutionary Fast Flow Algorithm by ETH Zurich
The podcast illuminates ETH Zurich's groundbreaking algorithm for computing maximum transport flow swiftly and efficiently. Comparing its speed to a drastic improvement from previous methods, the algorithm can evaluate static and dynamic networks almost instantaneously. Discussions in the comments involve theoretical aspects, practical limitations, and debates on its real-world applicability and algorithm complexity interpretations.
(01:59): Inside a $1 radar motion sensor Original post: https://news.ycombinator.com/item?id=40834349&utm_source=wondercraft_ai
(03:13): Researchers at ETH Zurich develop the fastest possible flow algorithm Original post: https://news.ycombinator.com/item?id=40829459&utm_source=wondercraft_ai
(04:26): AirPods fast connect security vulnerability Original post: https://news.ycombinator.com/item?id=40832223&utm_source=wondercraft_ai
(05:36): FUTO Keyboard Original post: https://news.ycombinator.com/item?id=40831489&utm_source=wondercraft_ai
(06:46): The economics of writing technical books Original post: https://news.ycombinator.com/item?id=40830332&utm_source=wondercraft_ai
(07:57): Python toolkit for quantitative finance Original post: https://news.ycombinator.com/item?id=40831991&utm_source=wondercraft_ai
(09:03): Chrome is adding `window.ai` – a Gemini Nano AI model right inside the browser Original post: https://news.ycombinator.com/item?id=40834600&utm_source=wondercraft_ai
(10:00): Thousands of Pablo Picasso’s works in a new online archive Original post: https://news.ycombinator.com/item?id=40832214&utm_source=wondercraft_ai
(11:12): Overleaf: An open-source online real-time collaborative LaTeX editor Original post: https://news.ycombinator.com/item?id=40832930&utm_source=wondercraft_ai
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