A new agentic IDE that works alongside you from prototype to production

Posted by Thibaud Colas & Benjamin Balder Bach on July 13, 2025

https://johnwhiles.com/posts/mental-models-vs-ai-tools

Brothers-in-law use construction knowledge to compete against Comcast in Michigan.

https://open-web-advocacy.org/blog/apples-browser-engine-ban-persists-even-under-the-dma/

https://www.glp1digest.com/p/how-glp-1s-are-breaking-life-insurance

这篇文章以作者学习皮划艇的经历为线索，阐述了完成困难事物的过程与感悟。

作者自认缺乏运动协调能力与体能，却在去年夏天开始尝试皮划艇这项运动。初期训练困难重重，频繁翻船落水。但这项运动逐渐吸引了他，清晨水面的宁静景色以及“以更精确的方式失败”带来了一种奇特的满足感。

进步的过程微妙而缓慢：翻船变少、划水声变轻、小船在呼吸间更稳定。作者开始注意到水纹、风向和岸边的乌龟，这已超越了单纯的运动，更像是一种人与环境缓慢融合的校准。

经过不到一年的训练，作者从训练艇转到接近比赛的赛艇，虽然速度仍落后于团队和放学练习的中学生，但差距在缩小。队长的支持并非夸大他的水平，而是坚信持续练习必然带来进步，这种信任成为了动力。

最终，作者成功进入校队，并参加了首次校际比赛。虽然没有获胜，但成功避免了翻船，他对这两个结果都感到满意。皮划艇教会了他坦然接受在公众面前反复出丑的过程。

作者最后将这段经历升华：在一个不欢迎你的小船上努力前行，这恰恰是生活中大多数困难的写照。完成困难事物的关键在于接受反复的失败，关注微小的进步，并持续出现。

https://100r.co/site/home.html

Why random selection is necessary to create stable meritocratic institutions

Professional grammar checking that runs entirely on your Mac. No internet, no subscriptions, complete privacy. Powered by local AI models. Try 7 days free.

The open-source CapCut alternative. Contribute to OpenCut-app/OpenCut development by creating an account on GitHub.

Know how good your code needs to be for the task at hand. Start with a rough draft. Try to soften requirements if you can. Don't get distracted. Make small changes. Practice specific skills.

https://howtomarketagame.com/2025/06/03/most-people-who-buy-your-game-wont-play-it/

https://abcnews.go.com/Business/wireStory/investors-snap-growing-share-us-homes-traditional-buyers-123560969

Global surface warming has accelerated since around 2010, relative to the preceding half century1–3. This has coincided with East Asian efforts to reduce air pollution through restricted atmospheric aerosol and precursor emissions4,5. A direct link between the two has, however, not yet been established. Here we show, using a large set of simulations from eight Earth System Models, how a time-evolving 75% reduction in East Asian sulfate emissions partially unmasks greenhouse gas-driven warming and influences the spatial pattern of surface temperature change. We find a rapidly evolving global, annual mean warming of 0.07 ± 0.05 °C, sufficient to be a main driver of the uptick in global warming rate since 2010. We also find North-Pacific warming and a top-of-atmosphere radiative imbalance that are qualitatively consistent with recent observations. East Asian aerosol cleanup is thus likely a key contributor to recent global warming acceleration and to Pacific warming trends. Restrictions of atmospheric aerosol and precursor emissions in East Asia have contributed to the observed global surface warming acceleration since 2010, according to Earth System Model simulations isolating regional changes.

Why is my $8 burger $23 after fees - An average reddit user

OpenICE 项目简介

• 项目名称：OpenICE
• 全称：Open-Source tracking of ICE detainment statistics
• 性质：一个开源仪表盘项目
• 用途：用于跟踪和可视化美国移民和海关执法局（ICE）的拘留统计数据
• 标识：项目配有专门的图片标识（Logo），链接为 https://cdn.aiescape.io/open-ice/logo.png

I have previously blogged about the relatively new trend of AI slop in vulnerability reports submitted to curl and how it hurts and exhausts us. This trend does not seem to slow down. On the contrary, it seems that we have recently not only received more AI slop but also more human slop. The latter … Continue reading Death by a thousand slops →

https://www.lttlabs.com/blog/2025/07/11/does-showing-seconds-in-the-system-tray-actually-use-more-power

Raycast-compatible launcher for Linux. Contribute to ByteAtATime/flare development by creating an account on GitHub.

UH researchers uncovered the tomb of Te K’ab Chaak, founder of Caracol’s royal dynasty. The find includes jadeite treasures, rare pottery and evidence of early ties between the Maya and Teotihuacan, reshaping understanding of Mesoamerican history.

这篇文章旨在阐述用于生成有机形态模拟的算法技术，重点关注艺术效果而非科学精确性。文章介绍了从基础Physarum算法到复杂变体与交互式实验的完整演进过程。

核心算法：Physarum模拟 基础方法是Jeff Jones在2010年提出的Physarum算法，用于模拟黏菌等有机体的网络形成行为。其核心是大量被称为智能体的粒子在二维空间中移动。

• 基本原理：粒子在轨迹图上移动并留下轨迹，同时倾向于跟随已有的轨迹。
• 单步迭代流程：
  1. 感知：粒子在三个方向（正前、左前、右前）探测轨迹强度，探测距离和角度为可调参数。
  2. 转向与移动：根据感知到的最强轨迹方向转向，然后向前移动固定距离。
  3. 沉积：粒子在新位置向轨迹图添加一个值。
  4. 轨迹更新：每轮迭代后，轨迹图会进行扩散（模糊）和衰减（乘以一个小于1的因子）以保持稳定。
• 关键参数：传感器距离、传感器角度、旋转角度、移动距离。调整这些参数可获得不同行为模式。

高级扩展：36 Points项目 Sage Jenson的《36 Points》项目对基础算法进行了重大扩展，通过20个参数生成了36种截然不同的“行为点”，呈现出丰富的“推测生物学”形态。

• 核心创新：让基础算法的关键参数（如感知距离、旋转角）不再是固定的，而是成为粒子当前位置轨迹强度（x）的函数。公式通常为 参数 = p_a + p_b * x^{p_c}，从而引入了多达12个可调参数。
• 其他改进：还引入了在粒子朝向前方或固定偏移位置进行感知的额外参数，以及粒子可定期随机重生的“进度”属性。

作者的实现与优化 作者在《36 Points》的启发下开发了自己的实现（physarum-36p），并进行了多项技术优化。

• 实时GPU加速：利用计算着色器在GPU上并行处理，可实时模拟数百万粒子，性能优异（例如在RTX 4060上可流畅运行1300万粒子）。
• 实现差异：作者的实现与原版在轨迹图处理（无上限值）、感知采样方式（最近邻像素采样）等方面存在差异，并为此增加了一个额外的缩放参数。
• 沉积机制：作者使用粒子计数器的平方根乘以常数因子来更新轨迹图，这是一种独特的个人设计。
• 着色器管线：整个模拟通过四个计算着色器完成：重置计数器、粒子更新与计数、轨迹沉积与图像生成、轨迹扩散与衰减。

实验性扩展与应用 基于上述框架，作者进行了一系列创造性实验。

• 颜色实验：使用双通道轨迹图（实时与延迟），通过两者的差异来映射更丰富的颜色梯度，突出变化剧烈的区域。
• 速度效果：为粒子引入速度属性和惯性，通过混合经典位置与基于速度的位置，可以产生平滑、复杂的流体般效果。
• 交互式应用：开发了可交互的物理模拟系统。用户通过光标控制，其位置影响周围粒子所使用的“行为点”参数（通过高斯函数插值混合），实现空间参数的动态混合。该项目开源，并支持游戏手柄交互。
• 其他探索：还包括利用粒子朝向或空间函数来插值不同行为点、调整重生概率、强制速度注入等多种手法，以生成特定视觉效果。

总结与资源 文章强调了这些技术很大程度上借鉴了《36 Points》项目，并采用了相同的CC BY-NC-SA 3.0许可证。作者鼓励读者基于这些思想进行自己的实验，并提供了丰富的额外资源链接，包括交互式解释、其他语言实现、教程视频和基于网页的实时模拟工具。

Abstract page for arXiv paper 2502.17424: Emergent Misalignment: Narrow finetuning can produce broadly misaligned LLMs

Making compilation pipelines fast, starting with the tokenizer

I’ve been building Rails applications for the last 10 years on a daily base and almost all of them use active storage now. Users are uploading files and then...

Android Reverse-Engineering Workbench for VS Code. Contribute to APKLab/APKLab development by creating an account on GitHub.

Inflation and budget issues are threatening to hobble NASA’s most in-demand telescopes.

your data is trapped inside the box that is your program. you can only see what the program author exposes.

Every time mass protests erupt in Iran, a familiar pattern follows: the flow of information stops. The internet slows to a crawl or disappears entirely.

22 blocks of the ancient Lighthouse of Alexandria recovered for a groundbreaking digital reconstruction of the lost wonder.

https://blog.johnluttig.com/p/hypercapitalism-and-the-ai-talent

People love to show that skeptics were wrong about something, especially when national pride hangs in the balance. The South China Morning Post published the following headline on November 3rd: “Scientists find traditional Chinese medicine is based on a complex network of proteins – 3,000 years before modern science.” The article points out that respectable editorials in the scientific literature had repeatedly referred to traditional Chinese medicine (TCM) as “largely just pseudoscience” and “based on unsubstantiated theories.” Yet here was the believer’s vindication: that TCM really was rigorously scientific while predating the European origin of what we refer to as “modern science.” Skeptics were bound to eat their hats. The study itself, published in Science Advances, is certainly interesting, but its complexity makes it opaque to the average person. It’s one of those impenetrable bits of data wrangling that can easily be dismissed as nonsense by the TCM skeptic or blindly embraced as confirmatory by the TCM believer. Let’s dive in. Exploring links between symptoms, proteins, and herbs The paper only focuses on the herbalism part of TCM, ignoring the many other interventions, like acupuncture, qigong, and cupping, that are often found under the TCM umbrella; hence, to claim that this study validates all of TCM is deceptive. The authors here did not test any particular herb in a clinical trial or even in the laboratory. Their work was done on computers and they essentially created maps. They had a long list of symptoms, a long list of genes and their corresponding proteins, and a long list of herbs used in TCM. They wanted to know if there was a dependable link between a symptom and the herb that was supposed to treat it, and if that link could be found through proteins. The thinking goes like this: a symptom like fever arises because certain genes are turned on, and these genes produce proteins which help create the fever. If the chemicals in the herb typically given to a feverish patient can be shown to interact with these fever-associated proteins more often than not, then TCM has some validity. It means that these herbs really are effective for scientific reasons that were unknown to the practitioners who started using them thousands of years ago. The problem is that you end up with very large datasets, and finding associations is not hard. Symptoms can indeed be associated with genes and their protein products, but it’s not a one-to-one relationship. Fever, for example, has been linked to well over 100 different genes, according to the supplementary data published with the paper. The scientists here initially focused on 174 symptoms that were associated with at least 20 proteins, but only 108 of these symptoms formed a connection to proteins that was likelier than by chance alone. As for the herbs and the proteins they seem to influence, it gets complicated by the number of potentially therapeutic chemicals in a single herb. On average, each herb they looked at had 62 potentially therapeutic chemicals in them (plus or minus 62, meaning that there was a lot of variability from herb to herb). Each chemical has on average 70 protein targets (with lots of variability here as well). You may have seen maps in an airline magazine that shows all of the routes the airline makes available, with bountiful lines emanating from London and Washington, D.C. and connecting airports throughout the world. This is the type of map we are talking about here. Using this kind of network analysis, the authors report finding that, on average, a symptom, certain proteins, and an herb are closer together than to other parts of the network. They then wanted to validate this finding in actual patient data. They looked at nearly 2,000 patients with liver cirrhosis hospitalized in Wuhan, China. They extracted from their medical charts the symptoms they were complaining of and they looked at the herbs that had been prescribed to them. They had to decide if the herbs had worked or not. They did so by looking at how quickly patients had recovered when given a particular herb versus how quickly other patients with the same symptom had recovered when given a different herb. Patients usually received a combination of 16 to 18 different herbs. Less than 10% of all herb-symptom pairings showed a statistically significant effectiveness when analyzed in this way (86 pairings out of 888). Even when considering the small sample sizes of many of the pairings, this result does not look good for the clinical acumen of TCM practitioners. Still, the paper’s authors write that their study “reveals the scientific foundation of TCM.” There are many limitations associated with this paper, and the authors were more open about them in the preprint version of their article. All of this data about which symptom is associated with which proteins, and which proteins are influenced by the ingestion of an herb, it’s very noisy. Moreover, liver cirrhosis patients are not a particularly representative slice of the population. And nobody got an herb prescription that was meant to be wrong or a placebo: every patient at that hospital received the herbs that a practitioner thought would treat their symptoms. Yet in most cases, those prescriptions seemed not to work. Also worth mentioning is that simply looking at genes and their products to predict how someone will respond to treatment is not as easy as it sounds. Yes, there are clinically validated tests that are robust enough, but the literature is also littered with failed propositions. It is not an easy code to crack. When we zoom out of this particular theoretical paper, we can contextualize these findings within what we already know about traditional Chinese medicine, because it will help us assess if these latest results are plausible or just the kind of noise we might expect from large, incomplete datasets being made to interact with each other. The implausibility problem Despite its name, traditional Chinese medicine is not particularly old. It is a modern reinvention spearheaded by Chairman Mao Zedong in the middle of the 20th century. As I’ve written before, access to healthcare in China in those days, especially outside of big cities, was hard, so Chairman Mao decided to revive and repackage disparate practices that had sprung up all over China over thousands of years and to train “barefoot doctors” in them in order to provide some sort of medical care in the countryside. He famously did not believe in it but thought it important to promote it. It worked, and when New York Times columnist James Reston had his appendix removed in China, the story that spread throughout the Western world was that he had not received any anesthetics before the surgery; instead, the surgeons had used acupuncture and he had felt no pain. (This story is not true.) TCM notions are thus not aligned with our modern understanding of biology and are often the result of superstitions. An important difference with conventional medicine—and not one in TCM’s favour—is that TCM focuses on symptoms, not diseases. As the authors of the present paper write, “Connecting TCM to the modern biomedical literature is challenging, due to the absence of the concept of ‘disease’ in TCM.” This is ironic given the common accusation from fans of alternative medicine that conventional healthcare treats symptoms but never the underlying condition. In TCM, the focus on symptoms to the exclusion of underlying causes is baked in. This is because whatever is wrong with the body is claimed to be due to blockages in the flow of qi, a presumed life force for which there is no evidence. The prescribing of herbs is itself another problem with TCM. Herbs contain unknown amounts of various chemicals, and these quantities vary depending on where and when the herb was grown. Buying acetylsalicylic acid or Aspirin from the local drugstore guarantees you are receiving a fixed dose of the active ingredient; sipping on an infusion of the bark of a willow tree will deliver an unknown dose of the related salicin and many other chemicals. When you’re throwing 16 to 18 herbs at a patient, you might as well include the kitchen sink. Finally, we must contend with the questionable reliability of Chinese research into Chinese traditions. Widespread data fabrication in clinical trials was unearthed by China’s food and drug regulator a few years ago, and we also know that virtually all trials of acupuncture done in China report a benefit, which clashes with results from trials done elsewhere and from biomedical research results in general. Interventions simply are never that good. TCM thus has a tall hurdle to overcome in terms of its plausibility, and a study that didn’t directly test its herbalism but instead relied on Big Data connections doesn’t cut it. Proponents of TCM are quick to point to the Nobel-Prize-winning malaria treatment artemisinin as a TCM success story, but as pharmacist Scott Gavura pointed out in Science-Based Medicine when the prize was awarded, artemisinin represents a triumph of modern scientific refinement. Yes, an old Chinese manuscript recommended the cold brewing of a tea with the plant that contains artemisinin to treat a fever; but artemisinin is eliminated too quickly from the body, which leads to relapse when used alone. It was a pharmaceutical company, Novartis, which mixed an artemisinin derivative, artemether, and lumefantrine into a beneficial medication for malaria. Pills are good not because the pharmaceutical industry benefits from them, but because they deliver a consistent dose of a well-studied molecule as opposed to the chemical chaos of whole herbs. The authors behind the paper drawing connections between symptoms, proteins, and Chinese herbs are hopeful that their model will show which herbs used in TCM seem particularly promising. They claim that chemicals in some herbs are known to interact with the same proteins involved in a particular symptom, but that this herb-symptom association has so far been ignored by TCM practitioners. They give several examples, such as Aristolochia fangchi known colloquially as Fang Ji which, based on their computer work, could help with abdomen distention. Patients beware: that plant was used in the 1990s instead of the listed herb as part of a slimming regimen in Belgium, where it caused “an outbreak of terminal renal failure.” That is something that abstract maps of chemical interactions may not tell you, but we should not forget what we already know from experience. Rejecting the recent reinvention that is TCM does not mean turning away from plants. Effective drugs are developed from plants all the time. It’s just that plants are the beginning of the process, not the end. Take-home message: - Researchers behind a new study claim to have revealed the scientific foundation of traditional Chinese medicine (TCM) - Using large data sets, they looked for connections between symptoms, proteins, and herbs used in TCM and found some associations that were likelier than would be expected by chance - This theoretical exercise needs to be balanced against the implausibility of TCM: its herbs are variable mixtures of chemicals and its practices are incongruous and were repackaged by Mao Zedong in the middle of the 20th century to provide some kind of healthcare in the countryside even though he did not personally believe in their validity @CrackedScience

Linux Gaming, Steam Deck Gaming | Boiling Steam

https://gpfault.net/posts/asm-tut-0.txt.html

https://www.jstor.org/stable/26169128

It's the official end of an ambitious project launched nearly fifteen years ago: the court of Changsha, in Hunan province, has declared bankruptcy.

关于标题的简要说明

根据提供的标题 "Writing a competitive BZip2 encoder in Ada from scratch in a few days (2024)"，该内容似乎描述了一个技术项目或实验：在2024年，有人尝试在几天内从头开始使用Ada编程语言编写一个具有竞争力的BZip2压缩编码器。

由于提供的正文（Body）部分为空，无法总结具体的技术细节、实现过程或结果。若正文存在，总结应聚焦于以下方面：

• 目的：快速开发一个高效、实用的BZip2编码器。
• 语言选择：使用Ada语言，可能因其可靠性、实时性或特定领域的优势。
• 时间框架：强调“几天内”完成，突出开发效率或挑战。
• 竞争力：指编码器在性能、压缩率或资源占用上与现有实现相比具有可比性。
• 技术要点：可能涉及BZip2算法核心（如Burrows-Wheeler变换、Huffman编码等）的Ada实现，以及优化策略。

由于缺乏实际内容，此总结仅基于标题推断。建议提供完整正文以获得更精确的总结。

The number of scam centers in eastern Myanmar is expanding at a rapid pace. Even after a large-scale crackdown in February, construction has continued -- underscoring that criminal hubs have not been eradicated. Nikkei analyzed satellite imagery and eyewitness testimony to reveal the scale and persistence of the crisis.

https://techlib.com/electronics/lightningnew.htm

A practical and thoughtful guide for new engineering managers. Learn how to build agreements, avoid micromanagement, run effective 1:1s, and navigate your first months with clarity.

Why does the online world seem so toxic compared with normal life? Our research shows that a small number of divisive accounts could be responsible – and offers a way out