March 1, 2025

Software

Time Data Series: It’s Not About What You Said – It’s More About How You Said It | HackerNoon

In my last post on PHP Zmanim, I said the next thing I’d write about was astronomy calculations. I still plan to do that, but something came up recently that caught my attention, so I’m going to talk about that instead. I still plan to get to the astronomy stuff. Sephardi vs Ashkenazi No, not Kitniyot. No, not how to hang your mezuzzah. No, not whether you have to use water challah or if egg challah

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IEEE President’s Note: Working Toward One IEEE

3 min read Kathleen Kramer is the 2025 IEEE President. Peter Adams Transformational leadership for a better IEEE is how I describe my vision for 2025. Working for “One IEEE” encapsulates the idea of this larger aspiration. Together we have the opportunity to foster meaningful collaborations that enable us to be much more than the sum of our individual parts. While the organization’s focused technical and publishing efforts are central to our professional success and

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Software

This Is How You Should Navigate Difficult Situations at Work | HackerNoon

Work is filled with difficult moments—a mean coworker, a boss who ignores your ideas, unrealistic demands from stakeholders, and a problem that turns out harder than expected. Such moments often arouse strong feelings of anger, hurt, frustration, desperation, self-doubt, low self-worth, and inadequacy. Instead of tackling the situation with a clear head, we let our emotions determine how we think and how we act. We either: Ignore the problem for too long, which messes with

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DeepSeek claims ‘theoretical’ profit margins of 545% | TechCrunch

Chinese AI startup DeepSeek recently declared that its AI models could be very profitable — with some asterisks. In a post on X, DeepSeek boasted that its online services have a “cost profit margin” of 545%. However, that margin is calculated based on “theoretical income.” It discussed these numbers in more detail at the end of a longer GitHub post outlining its approach to achieving “higher throughput and lower latency.” The company wrote that when

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Software

Improving Text Embeddings with Large Language Models: Training | HackerNoon

Authors: (1) Liang Wang, Microsoft Corporation, and Correspondence to ([email protected]); (2) Nan Yang, Microsoft Corporation, and correspondence to ([email protected]); (3) Xiaolong Huang, Microsoft Corporation; (4) Linjun Yang, Microsoft Corporation; (5) Rangan Majumder, Microsoft Corporation; (6) Furu Wei, Microsoft Corporation and Correspondence to ([email protected]).

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The HackerNoon Newsletter: Grand Central Dispatch, Once and for All (3/1/2025) | HackerNoon

How are you, hacker? 🪐 What’s happening in tech today, March 1, 2025? The HackerNoon Newsletter brings the HackerNoon homepage straight to your inbox. On this day, John McCarthy’s LISP Programmer’s Manual Released in 1960, and we present you with these top quality stories. From AI Literacy Is Now the Law—Ignore It at Your Own Risk to Grand Central Dispatch, Once and for All , let’s dive right in. By @kfamyn [ 20 Min read

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What Is a Diffusion LLM and Why Does It Matter? | HackerNoon

Introduction Today, Inception Labs released the first commercially available Diffusion Large Language Model (dLLM) – Mercury Coder, and caused a big stir both in the research community as well as in the AI industry. In contrast to auto-regression LLMs (all the LLMs you know today), diffusion LLM works like your favorite AI image generators such as Stable Diffusion, where the final results emerge from a cloud of gibberish text. See one example below for the

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Hardware

Monster Hunter Wilds PC Troubleshooting Tips For Optimal Beast Slaying

Monster Hunter Wilds isn’t perfect, but it is excellent—I spent about twelve hours playing it yesterday. It’s a new main-line Monster Hunter game, with all that entails, including peak development expenditure from CAPCOM on one of its biggest properties to produce a detailed, high-effort monster slaying experience. Despite that, the game is currently sitting at “Mixed” reviews on Steam, and that’s largely down to its PC performance. Put simply, the game is just very demanding.

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