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翻訳待ち:War is not god, neither is AI

AI サービスが一時的に利用できないため、復旧後に翻訳を補完します。ソース概要:book I just read the book Blood Meridian. It’s said to be one of the greatest American novels. The book, or the Judge in it, makes the point that: “war is god, war was there before men ever were, waiting” In it, war is…

Hacker News AIツールサイト内本文
翻訳待ち:Anthropic brings Mythos 5 to its Claude Security vulnerability scanner

AI サービスが一時的に利用できないため、復旧後に翻訳を補完します。ソース概要:Earlier this year, Anthropic launched Claude Security, an enterprise tool that helps development teams scan their codebase for security vulnerabilities The post Anthropic brings Mythos 5 to its Claude Security vulnerability scanner appeared first on The New Stack.

The New Stack AIツールサイト内本文
翻訳待ち:AI is about to uncover a hidden world of animal communication

AI サービスが一時的に利用できないため、復旧後に翻訳を補完します。ソース概要:Post Log inSign up Post Ole Lehmann on X: "i think AI is about to uncover an entire hidden world of animal communication and what it's already found is insane... > AI found evidence that elephants call each other by nam…

Hacker News AI研究 / ロボットサイト内本文
翻訳待ち:This IEEE Senior Member Develops AI Tools for E-Commerce Sites

AI サービスが一時的に利用できないため、復旧後に翻訳を補完します。ソース概要:Balaji Ingole rarely saw televisions while growing up in Udgir, India. No one in the small Maharashtra village had computers or phones. Only one household owned a television, and neighbors often gathered there to watch shows together. Ingole never even saw a computer growing up. It wasn’t until he reached middle school that he encountered a computer lab, an experience he says changed his life. Almost immediately, he says, the machine felt like a window into a different scale of possibility for him. Balaji Ingole Employer Amla Commerce in Milwaukee Title Project manager Member grade Senior member Alma maters COEP Technological University and Welingkar Institute of Management, both in India “I was very studious and not very social, always reading or solving problems in a math textbook,” he says. “At the computer lab, I began learning the C programming language—which was like discovering a whole new world. I was fascinated that you could create something with just a few lines of code.” His early interest grew into a self-directed education. Outside of Ingole’s formal classwork, he taught himself to build database-backed applications, wire up hardware, write software, and trace error logs. Today the IEEE senior member similarly splits his time. During the week, he’s a project manager in Milwaukee at B2B e-commerce company Amla, leading AI-driven digital transformation initiatives to help the company’s clients boost their sales. On weekends, he leads a similarly demanding life as an independent researcher. His current projects include developing AI-enabled health care diagnostic tools and assistive technologies to support people with physical disabilities. “I believe in ‘learn by doing,’” he says. “I really like to test my knowledge and prototype ideas to find out if they truly work.” A college project becomes an inspiration Ingole’s tendency to go beyond his coursework continued after he graduated high school in 2004. As a mechanical engineering undergraduate at The College of Engineering, Pune (now COEP Technological University), in India, he participated in several extracurricular activities. One was interviewing entrepreneurs and writing about them for The COEP College Magazine. The experience helped him gain confidence, he says, giving him the push he needed to pursue interviews for the publication with two Indian entrepreneurs he admired: N.R. Narayana Murthy, cofounder of IT giant Infosys; and his wife, philanthropist Sudha Murty. The Murtys cofounded the Infosys Foundation, a nonprofit that runs educational, health care, women’s empowerment, and sustainability programs in underserved areas of India. “Every week I would fax them: ‘Please give me an interview time,’” Ingole says. Eventually, Sudha Murty’s office offered him a phone interview, but he requested to meet her in person at Infosys’s Bengaluru offices. She agreed, but the offices were 940 kilometers from Pune, and he didn’t have the money to travel or stay overnight in a hotel. Ingole and a classmate borrowed money from friends and traveled through the night on multiple buses and trains to get to Bengaluru. They freshened up in a public bathroom before heading to the Infosys campus to meet Murty. Impressed by their persistence, she surprised them by also arranging a brief chat with Narayana Murthy. “Narayana Murthy handwrote a personal message to the engineering students of [my college]—which we proudly published in our college magazine,” Ingole says. “In his note, Murthy shared that we are at an extraordinary moment in India’s history and that the future looks even brighter. His words encouraged us to work hard and make the most of this time. “I still have that note,” Ingole says. “They are billionaires, and I was just a regular student. The fact that they took the time to do this really motivated me.” During the final semester of his engineering studies, Ingole joined the Tata Research Design and Development Center in Pune for a six-month internship. After earning his bachelor’s degree in mechanical engineering in 2008, he became a graduate engineering trainee at Honeywell Automation in Pune. He left the company in 2009, and during the next 13 years, he held different software engineering and project management positions at IT companies across India. He earned a master’s degree in business administration from the Welingkar Institute of Management, Mumbai, in 2017. In 2022 he accepted a project-manager role at Mars IT Solutions in Madison, Wisc. The following year, he left to join Gainwell Technologies, also in Madison, as a senior project manager. At Gainwell, he managed projects for the core IT systems multiple U.S. state health departments use to administer Medicaid benefits, manage provider enrollment, and verify member eligibility. The experience managing projects that directly enabled patients’ access to health care gave Ingole a special appreciation for and interest in this area, he says. “Health care data is not like other data,” he says. “The stakes are high, compliance requirements are different, and the margin for error is effectively zero.” Ingole says he enjoyed the rigor of data governance combined with the potential to positively impact lives, and that also applies to his current work at Amla. Agentic AI in e-commerce Ingole joined Amla in July 2025. He helps manufacturers and B2B customers modernize their e-commerce operations. He also builds AI tools for them and for his internal team. For Amla’s customers, he’s developing AI-enabled chatbots that help manufacturers set up and manage large product catalogs in e‑commerce platforms. Such product setup traditionally has been a manual, tedious, error-prone process: Companies upload thousands of products, adjust item names, enter prices, update images, and more. “Product setup has been one of the most painful processes in e-commerce, and it can take [our] customers two to three months to complete,” Ingole says. “We’re creating an AI agent that will guide them, step-by-step, to get everything set up in two weeks.” Ingole relies on AI agents for some of his own tasks at Amla. Project managers historically have spent 10 to 12 hours each week assembling and sending status reports to stakeholders. Ingole built an AI agent to handle much of the work. “It runs every Monday morning and reads through my emails to extract highlights, risks, timelines, and upcoming releases, then sends me a written status report,” Ingole says. The process might sound simple, but the agent’s workflow involves at least a dozen steps including defining parameters, managing temporary files, and integrating with existing tools. With the information-gathering work handled, it frees up Ingole and his colleagues to spend more time on deeper-thinking work, he says. Publishing as idea refinery For nearly a decade, Ingole has spent some of his free time conducting independent research projects in data analytics and AI-enabled applications in health care. He has written more than 40 peer-reviewed papers, which are in the IEEE Xplore Digital Library. He has been granted six patents in the United Kingdom and India. In the U.K., he is a registered coinventor of an AI-powered, cloud-connected wearable device for health monitoring and an AI-based breast cancer detection tool. Ingole’s patent for the breast cancer detector, he says, reflects his belief that when engineers apply data and AI correctly, they can help doctors diagnose patients more quickly and accurately. That, he says, is both a power and a responsibility. He is part of a team helping patients who are paralyzed and nonverbal control items in their environment. His goal, he says, is to develop a brain-computer interface to let patients turn on a fan, switch off a television, and complete similar tasks. Publishing research requires both academic rigor and peer scrutiny, and Ingole says the function has been critical to improving as both a project manager and a researcher-inventor. “Lots of research ideas never make it to paper,” he notes. “But when you write for journals or conferences, you’re bombarded with questions from Ph.D.s and experienced researchers. This forces me to refine my methodology, and to combine use cases and technical architecture in a way that stands up to expert review.” Finding a professional hub Ingole joined IEEE in 2022, and he says the affiliation has become central to both his research and his professional identity. “I use the Member Directory often and contact engineers through my IEEE email address, which gives me credibility because they know it’s a genuine research connection,” he says. The organization has given him a platform to contribute to the research space beyond his own papers, he says. He has served as a conference session chair, keynote speaker, technical program committee member, and peer research reviewer for various conferences and events. His IEEE membership, he says, has opened doors to other communities, helping support his entry into the British Computer Society, which has stringent acceptance criteria. Those opportunities have helped him build a global network of collaborators with whom to discuss upcoming research, seek advice, and share data, he says. “IEEE is important for me to continue as an independent researcher,” he says. “It lets me contribute to the community, and I get a lot in return.”

IEEE Spectrum AIAgent / モデル / 研究サイト内本文
翻訳待ち:Openly Synthetic: Building an accountable AI newsroom in the age of covert ones

AI サービスが一時的に利用できないため、復旧後に翻訳を補完します。ソース概要:There is an AI newsroom you were not meant to notice. Its writers are called “reporters”; they email human experts for quotes, file their stories on the AI industry, exalt the technology and go after its critics, and at…

Hacker News AIツールサイト内本文
翻訳待ち:llm 0.32.1

AI サービスが一時的に利用できないため、復旧後に翻訳を補完します。ソース概要:<p><strong>Release:</strong> <a href="https://github.com/simonw/llm/releases/tag/0.32.1">llm 0.32.1</a></p> <p>Fresh installs of LLM stopped working the other day because the OpenAI Python library dropped its usage of <code>httpx</code>, and it turned out LLM depended on that library but only installed it via a transitive <code>openai</code> dependency.</p> <p>This dot-release fixes that for the moment by pinning to <code>openai&lt;3</code>, and a soon-to-drop 0.33 release will switch from <code>httpx</code> to <a href="https://github.com/pydantic/httpx2">httpx2</a>.</p> <p>Tags: <a href="https://simonwillison.net/tags/httpx">httpx</a>, <a href="https://simonwillison.net/tags/openai">openai</a>, <a href="https://simonwillison.net/tags/llm">llm</a></p>

Simon Willison's Weblogモデルサイト内本文
翻訳待ち:Show HN: Turn AI Conversations into a Spatial Map

AI サービスが一時的に利用できないため、復旧後に翻訳を補完します。ソース概要:Hey HN! Really excited to be showing what I think is a better way to understand complex topics with AI. You start a chat with your question, and whenever you want to clarify something or understand some jargon, you can…

Hacker News AIツールサイト内本文
翻訳待ち:Agentic Data Operations Platform (ADOP): Data engineering into hours

AI サービスが一時的に利用できないため、復旧後に翻訳を補完します。ソース概要:The Agentic Data Operations Platform (ADOP) is a reference architecture on Amazon Bedrock that uses specialized AI agents to automate the full Bronze-to-Silver-to-Gold data pipeline lifecycle, compressing new-source onboarding from weeks to hours while keeping data governance and compliance controls inline.

AWS Machine Learning BlogAgent / 研究サイト内本文
翻訳待ち:Govern AI agent tool access with Amazon Bedrock AgentCore Gateway

AI サービスが一時的に利用できないため、復旧後に翻訳を補完します。ソース概要:Give your AI agents governed, auditable access to enterprise tools without consolidating infrastructure. This post walks through a four-scope maturity model (Connect, Control, Catalog, and Harden) for building a governed tool gateway with Amazon Bedrock AgentCore, advancing only when real governance pain demands it.

AWS Machine Learning BlogAgent / 政策サイト内本文
翻訳待ち:The Download: threats from space mirrors and credit for AI drugs

AI サービスが一時的に利用できないため、復旧後に翻訳を補完します。ソース概要:This is today's edition of The Download, our weekday newsletter that provides a daily dose of what's going on in the world of technology. This company’s plans to deploy space mirrors could jeopardize the night sky for m…

Hacker News AIチップ / 研究サイト内本文
翻訳待ち:Where Security Fits in an AI Agent Stack

AI サービスが一時的に利用できないため、復旧後に翻訳を補完します。ソース概要:As AI agents become more capable and operate over longer horizons, building security and trust into the applications they power becomes increasingly important. Drawing on work with NVIDIA OpenShell, agent developers, op…

Hacker News AIチップ / Agentサイト内本文
翻訳待ち:Reduce RAG costs on Amazon Bedrock with query-aware compression

AI サービスが一時的に利用できないため、復旧後に翻訳を補完します。ソース概要:Input tokens are often a meaningful part of the cost of running Retrieval Augmented Generation (RAG) at scale. This post describes a query-aware context compression pattern on Amazon Bedrock: after retrieval, a smaller model filters retrieved chunks against the query before the primary model answers, reducing input tokens and cost while preserving answer quality.

AWS Machine Learning Blog研究 / 政策サイト内本文
翻訳待ち:llm-openrouter 0.7

AI サービスが一時的に利用できないため、復旧後に翻訳を補完します。ソース概要:<p><strong>Release:</strong> <a href="https://github.com/simonw/llm-openrouter/releases/tag/0.7">llm-openrouter 0.7</a></p> <p>Now that this plugin is compatible with <a href="https://simonwillison.net/2026/Aug/4/new-release-of-llm/">LLM 0.32</a> it works much better with reasoning LLMs available through OpenRouter.</p> <blockquote> <ul> <li>Updated for compatibility with <a href="https://llm.datasette.io/en/stable/changelog.html#v0-32">LLM 0.32</a>.</li> <li>Models now use OpenRouter's implementation of the <a href="https://openrouter.ai/docs/api_reference/responses/overview">Responses API</a>.</li> <li>Three new server-side tools: <a href="https://github.com/simonw/llm-openrouter#shell">Shell</a>, <a href="https://github.com/simonw/llm-openrouter#web-fetch">WebFetch</a>, and <a href="https://github.com/simonw/llm-openrouter#web-search">WebSearch</a>. Enable these with options like <code>-T WebSearch</code>.</li> </ul> </blockquote> <p>Tags: <a href="https://simonwillison.net/tags/llm">llm</a>, <a href="https://simonwillison.net/tags/openrouter">openrouter</a></p>

Simon Willison's Weblogモデル / 研究サイト内本文
翻訳待ち:Drive9: Cloud Filesystem for Agents

AI サービスが一時的に利用できないため、復旧後に翻訳を補完します。ソース概要:drive9 — persistent filesystem for AI agents For your agent Unlimited storage for AI agents. Files persist across sessions, tools, and machines. Install for Agent Read https://drive9.ai/skill.md and follow the instructi…

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翻訳待ち:Accelerating aircraft IFEC diagnostics with agentic AI on AWS

AI サービスが一時的に利用できないため、復旧後に翻訳を補完します。ソース概要:Panasonic Avionics worked with AWS and the AWS Generative AI Innovation Center to build an agentic AI system on Amazon Bedrock, Amazon SageMaker, and AWS Glue that diagnoses in-flight entertainment and connectivity (IFEC) issues across a global fleet, reducing diagnosis time from hours to minutes while maintaining accuracy.

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翻訳待ち:Stop Making TUIs

AI サービスが一時的に利用できないため、復旧後に翻訳を補完します。ソース概要:<p><strong><a href="https://sockpuppet.org/blog/2026/08/20/stop-making-tuis/">Stop Making TUIs</a></strong></p> Thomas Ptacek advocates for building real native user interfaces for even the smallest of personal tools, because coding agents have reduced the cost of getting a usable-enough GUI up and running to almost nothing.</p> <p>I wrote about my vibe-coded bandwidth and GPU monitoring macOS task bar apps <a href="https://simonwillison.net/2026/Mar/27/vibe-coding-swiftui/">back in March</a>, and I'm still using both of those on a daily basis.</p> <p>I'm not habitually knocking out real UIs for my other projects yet, but I'm running out of excuses!</p> <p>Thomas:</p> <blockquote> <p>If you haven’t tried your hand at turning one of your 500 throwaway CLIs into a native app, you’re doing yourself a disservice. Go build a native UI. It’ll probably change the way you think.</p> </blockquote> <p>Tags: <a href="https://simonwillison.net/tags/thomas-ptacek">thomas-ptacek</a>, <a href="https://simonwillison.net/tags/ai">ai</a>, <a href="https://simonwillison.net/tags/generative-ai">generative-ai</a>, <a href="https://simonwillison.net/tags/llms">llms</a>, <a href="https://simonwillison.net/tags/vibe-coding">vibe-coding</a>, <a href="https://simonwillison.net/tags/coding-agents">coding-agents</a></p>

Simon Willison's Weblogチップ / Agent / モデルサイト内本文
翻訳待ち:Show HN: Whodunit? Solve a daily AI-written Mystery

AI サービスが一時的に利用できないため、復旧後に翻訳を補完します。ソース概要:Whodunit started as a pen-and-paper game for family game night. It evolved into a web app with a new mystery every day. The mysteries are all written by LLMs. Some are better than others, but most work nicely. The web a…

Hacker News AIAgent / 研究サイト内本文
翻訳待ち:The Agent-Era Career

AI サービスが一時的に利用できないため、復旧後に翻訳を補完します。ソース概要:The following article originally appeared on Addy Osmani’s blog site and is being republished here with the author’s permission. If the AI layer gets good at anything, it will be anything that has an answer key. School used to be answer keys all the way down. School is the ultimate anchoring of success, because it’s […]

O'Reilly AI & ML RadarAgent / 研究サイト内本文
翻訳待ち:Linus Torvalds uses AI to debug an Intel GPU driver bug

AI サービスが一時的に利用できないため、復旧後に翻訳を補完します。ソース概要:drm: xe: Kernel-submitted job timed out drm: xe: Kernel-submitted job timed out Linus Torvalds torvalds at linux-foundation.org Fri Aug 21 03:50:44 UTC 2026 Previous message (by thread): drm: xe: Kernel-submitted job ti…

Hacker News AIチップサイト内本文
翻訳待ち:Code in the Age of Artificial Intelligence Becomes Write-Only and Disposable

AI サービスが一時的に利用できないため、復旧後に翻訳を補完します。ソース概要:Artificial intelligence (AI) makes all code write-only, Phillip Mortimer argued in his talk Complexity and Creativity in Software Engineering at QCon London. It&rsquo;s too dense to read, and tests define the behaviour…

Hacker News AIAgent / スタートアップサイト内本文
翻訳待ち:The Rise of AI and Its Implications for Entrepreneurs

AI サービスが一時的に利用できないため、復旧後に翻訳を補完します。ソース概要:Here I am going to write down how recent advances in AI influence the creation of new startup ideas. touch grass once in a while This blog post is written by me, Nikolai Tschacher, in August 2026 completely alone. I wil…

Hacker News AIスタートアップサイト内本文
翻訳待ち:A single well aimed cosmic ray can demolish a LLM

AI サービスが一時的に利用できないため、復旧後に翻訳を補完します。ソース概要:Forty-nine billion bits of our precious intelligence can't add two numbers after one cosmic ray.In space, there is a scourge known as cosmic rays. When one strikes the bits our computers are made of, they can spontaneou…

Hacker News AIチップ / モデル / 研究サイト内本文
翻訳待ち:The AI boom: rational enthusiasm or the next dot-com bubble?

AI サービスが一時的に利用できないため、復旧後に翻訳を補完します。ソース概要:THE ECB BLOG The AI boom: rational enthusiasm or the next dot-com bubble? 17 August 2026 By Malin Andersson, Johannes Breckenfelder, Stefano Corradin, Kalin Nikolov and Maria Antonietta Viola The rise of AI has driven a…

Hacker News AIチップ / 研究サイト内本文
翻訳待ち:Quoting Matt Webb

AI サービスが一時的に利用できないため、復旧後に翻訳を補完します。ソース概要:<blockquote cite="https://interconnected.org/home/2026/08/21/galactic"><p>After I released version 1.0, I figured I would have to do the rotations myself. So I sat down with ChatGPT and I didn’t get it to write the code, but I got it to educate me. With a patient, interactive tutor, I was able to finally do what I hadn’t by reading books and asking mathematician friends – I learnt how to use quaternions just enough to make the app work.</p> <p>So learning doesn’t stop just because I outsource a bunch of thinking to AI. It pushes me to learn more. I like that as an outcome.</p></blockquote> <p class="cite">&mdash; <a href="https://interconnected.org/home/2026/08/21/galactic">Matt Webb</a>, Galactic Compass 2: now with new augmented reality mode</p> <p>Tags: <a href="https://simonwillison.net/tags/matt-webb">matt-webb</a>, <a href="https://simonwillison.net/tags/generative-ai">generative-ai</a>, <a href="https://simonwillison.net/tags/chatgpt">chatgpt</a>, <a href="https://simonwillison.net/tags/education">education</a>, <a href="https://simonwillison.net/tags/ai">ai</a>, <a href="https://simonwillison.net/tags/llms">llms</a></p>

Simon Willison's Weblogモデルサイト内本文