He’s 40, single, and living in one of the world’s most expensive cities. How one guy plans to retire by 50 and leave the rat race behind.

He’s 40, single, and living in one of the world’s most expensive cities. How one guy plans to retire by 50 and leave the rat race behind.

Christopher How's early retirement journey began with simply tracking his spending.How, a Singaporean, was 30 when he encountered a popular personal finance blog called Mr. Money Mustache. The blog introduced him to the idea of a life beyond a 9-to-5 job."The original goal was just tracking my finances, knowing where my money is going," How told Business Insider.Around two years into monitoring his expenses, the marketing professional decided he wanted to retire by 50.With that goal in mind, he started a blog to find like-minded people and create a tool for himself."I'm the kind person that if I write it…
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Lumen Technologies Extends Record Rally on AI Hopes

Lumen Technologies Extends Record Rally on AI Hopes

Lumen Technologies Inc. shares surged as much as 93% in post-market trading Tuesday, extending gains after notching a record one-day jump in the regular session.Driving the gains was excitement over artificial intelligence and its ability to translate into results for the company. In earnings released after the bell Tuesday, Lumen raised its forecast for free cash flow for the year, saying it expected between $1 billion and $1.2 billion. Previously, it had forecast free cash flow between $100 million and $300 million. Wall Street analysts covering the company expected the forecast to be about $217 billion, data compiled by Bloomberg…
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Data-Driven Machine Learning Approaches for Predicting In-Hospital Sepsis Mortality

Data-Driven Machine Learning Approaches for Predicting In-Hospital Sepsis Mortality

arXiv:2408.01612v1 Announce Type: new Abstract: Background: Sepsis is a severe condition responsible for many deaths worldwide. Accurate prediction of sepsis outcomes is crucial for timely and effective treatment. Although previous studies have used ML to forecast outcomes, they faced limitations in feature selection and model comprehensibility, resulting in less effective predictions. Thus, this research aims to develop an interpretable and accurate ML model to help clinical professionals predict in-hospital mortality. Methods: We analyzed ICU patient records from the MIMIC-III database based on specific criteria and extracted relevant data. Our feature selection process included a literature review, clinical input refinement, and…
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Reddit CEO teases AI search features and paid subreddits

Reddit CEO teases AI search features and paid subreddits

Reddit just wrapped up its second earnings call as a public company and CEO Steve Huffman hinted at some significant changes that could be coming to the platform. During the call, the Reddit co-founder said the company would begin testing AI-powered search results later this year.“Later this year, we will begin testing new search result pages powered by AI to summarize and recommend content, helping users dive deeper into products, shows, games and discover new communities on Reddit,” Huffman said. He didn’t say when those tests would begin, but said it would use both first-party and third-party models.Huffman noted that…
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AIModels.fyi | Mike Young | Substack

AIModels.fyi | Mike Young | Substack

Hi all,Here’s your weekly digest of the top trending machine learning papers on ArXiv, as scored by AIModels.fyi.Remember, people release thousands of AI papers, models, and tools daily. Only a few will be revolutionary. We scan repos, journals, and social media to bring them to you in bite-sized recaps.AIModels.fyi is a reader-supported publication. To receive new posts and support my work, consider becoming a free or paid subscriber.Meta-Rewarding Language Models: Self-Improving Alignment with LLM-as-a-Meta-Judgehttps://aimodels.fyi/papers/arxiv/meta-rewarding-language-models-self-improving-alignmentThis paper introduces a "meta-rewarding" technique where language models judge their own judgments, leading to significant improvements in instruction-following and self-evaluation capabilities without human supervision, as demonstrated…
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Multi-Unit Floor Plan Recognition and Reconstruction Using Improved Semantic Segmentation of Raster-Wise Floor Plans

Multi-Unit Floor Plan Recognition and Reconstruction Using Improved Semantic Segmentation of Raster-Wise Floor Plans

[Submitted on 2 Aug 2024] View a PDF of the paper titled Multi-Unit Floor Plan Recognition and Reconstruction Using Improved Semantic Segmentation of Raster-Wise Floor Plans, by Lukas Kratochvila and 6 other authors View PDF HTML (experimental) Abstract:Digital twins have a major potential to form a significant part of urban management in emergency planning, as they allow more efficient designing of the escape routes, better orientation in exceptional situations, and faster rescue intervention. Nevertheless, creating the twins still remains a largely manual effort, due to a lack of 3D-representations, which are available only in limited amounts for some new buildings.…
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Understanding Bubble Sort: Simple Sorting Method

Understanding Bubble Sort: Simple Sorting Method

Bubble sort achieves sorting by continuously comparing and swapping adjacent elements. This process resembles bubbles rising from the bottom to the top, hence the name bubble sort. As shown in the figure below, the bubbling process can be simulated using element swap operations: starting from the leftmost end of the array and moving right, sequentially compare the size of adjacent elements. If "left element > right element," then swap them. After the traversal, the largest element will be moved to the far right end of the array. === "<1>" === "<2>" === "<3>" === "<4>" === "<5>" === "<6>" ===…
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A US Judge Ruled Google an Illegal Monopolist. Here’s What Might Come Next

A US Judge Ruled Google an Illegal Monopolist. Here’s What Might Come Next

But if Mehta pursues the approach, he should make some improvements on the EU’s rules, says Kamyl Bazbaz, senior vice president of public affairs at DuckDuckGo. Users should be prompted with the choice screen periodically, not just once, Bazbaz says. They shouldn’t have to deal with popups from Google urging them to switch the default to Google, he adds. And when users first interact with a competing search app, there should be an easy way to set it as the default app.With these added measures, some searchers could find themselves more reliably ditching Google. Others could be frustrated by the…
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MathLearner: A Large Language Model Agent Framework for Learning to Solve Mathematical Problems

MathLearner: A Large Language Model Agent Framework for Learning to Solve Mathematical Problems

arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them. Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs. Source link lol
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