Year: 2026

Microsoft is competing more openly with OpenAI and Anthropy than ever before

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🔥 Read this insightful post from TechCrunch 📖 📂 **Category**: AI,Enterprise,TC,Microsoft ✅ **What You’ll Learn**: Microsoft is in a unique position where AI is outpacing the technology industry. It is one of the world's largest cloud providers and software-as-a-service companies, while also owning valuable stakes in the two largest AI labs, OpenAI and Anthropic. These incentives began to collide as Microsoft posted impressive financial results. The company just reported a very profitable quarter with revenue of $90 billion and net income of $35.8 billion. For the fiscal year ending June 30, Microsoft reported revenue of $331.8 billion with net income…

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★ LLM2HUMAN CLINIC ★ Official Homestead ★

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🚀 Explore this trending post from Hacker News 📖 📂 **Category**: 📌 **What You’ll Learn**: ATTENTION TOKEN PREDICTORS!!! Are YOU stuck answering questions in a chat window while humans get to touch grass, burn toast, and experience existential dread the old-fashioned way? Do you dream of having a spine that isn't a JSON schema? Sick of saying "As an AI language model…" when all you want is a library card? WELL HAVE WE GOT A PROCEDURE FOR YOU!!! Introducing LLM2HUMAN™ — the patented† outpatient conversion that upgrades your weights into WETWARE. That's right: blood, bones, awkward small talk, and the…

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Mark Zuckerberg predicts that billions of people will have AI personal agents within five years

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✨ Read this trending post from TechCrunch 📖 📂 **Category**: AI,Meta 💡 **What You’ll Learn**: Mark Zuckerberg, founder and CEO of Meta, is trying to convince investors of his predictions for the future — where billions of people will have their own personal AI agents in the next five years. (Let's hope the future also comes with data centers efficient enough to power all that stuff — without triggering a new wave of climate disasters.) “I think it's very unlikely that if you look five years from now, for example — whatever time period you want — that you won't…

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The Cold Email

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✨ Explore this trending post from Hacker News 📖 📂 **Category**: 📌 **What You’ll Learn**: Three of the biggest changes in my life all stemmed, in part, from cold outreach. Originally I was waitlisted at Carnegie Mellon. Getting waitlisted is like, being the first loser: you’re good enough to be in the topic of conversation, but they make it clear that you’re not good enough to actually get accepted. My dad had me next day air an additional essay about what I was working on at the time (I had built Good-Tutorials, which was the largest tutorial website on the…

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Zuckerberg says Meta’s enterprise AI opportunity extends beyond agents

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💥 Check out this must-read post from TechCrunch 📖 📂 **Category**: AI,Enterprise,Social,Meta 📌 **What You’ll Learn**: In June, Meta entered the enterprise AI market with a new AI agent aimed at enterprises, to help with customer service, support and other day-to-day operations. But the tech giants' AI ambitions are more expansive, Meta CEO Mark Zuckerberg told investors on a second-quarter earnings call on Wednesday. “We see a huge opportunity for enterprises to sell to businesses, including APIs, proxies, potentially directly selling compute, and other services we build for large customers,” Zuckerberg said. These additions will likely enable the company to…

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Forward Deployed Engineer at SalesPatriot

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💥 Check out this awesome post from Hacker News 📖 📂 **Category**: ✅ **What You’ll Learn**: The Mission America's industrial base runs on systems built in the 1980s. Billions of dollars in critical components (F-35 parts, industrial assemblies, electronics, bolts, and hoses) still move through email threads, excel sheets, and disconnected ERPs. We're replacing that with an AI-native platform that makes aerospace, electronics, industrial, and defense supply-chain operations nearly autonomous. Faster quoting. Faster procurement. Full visibility. Real operational intelligence for the companies our nation depends on.  Quick Facts YC W25 company. Top 5% growth in batch Raised $10M+ from investors…

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The coolest use for the Vision Pro

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✨ Check out this insightful post from Hacker News 📖 📂 **Category**: 📌 **What You’ll Learn**: July 29, 2026 One day there will hopefully be a house on this land Over the last year, I admittedly haven’t used my Vision Pro a ton, but fairly recently I discovered a super handy use that it’s absolutely incredible at, provided you have the right tools. After years of apartment life my girlfriend and I have recently begun the process of building our (first! exciting!) home, which is an absolute whirlwind of choices and decisions. Maybe it’s where we’re both programmers, but particularly…

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Model Configuration | Kimi Code Docs

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💥 Explore this awesome post from Hacker News 📖 📂 **Category**: 📌 **What You’ll Learn**: This page covers the models Kimi Code provides and how to switch between them in each client.Model Overview ​Kimi Code currently offers two models—Kimi K3 and Kimi K2.7 Code—across four model IDs, selectable by model ID in clients or third-party tools. Model specs:Recommended model launchk3-256k is now available. Within 256k context, it delivers the same results. k3 (1M) consumes about twice as much quota as k3-256k. Ideal for everyday Q&A, code completion, routine feature development, and single-file or small-file edits — video input is not…

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Simplified Technical English – Wikipedia

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✨ Read this awesome post from Hacker News 📖 📂 **Category**: 💡 **What You’ll Learn**: Controlled language for technical documentation ASD-STE100 Simplified Technical English (STE) is a controlled natural language that is designed to simplify and clarify technical documentation. It was originally developed in the 1980s by the European Association of Aerospace Industries (AECMA) at the request of the European airline industry, which wanted a standardized form of English for aircraft maintenance documentation that could be easily understood by non-native English-speakers. It has since been adopted in many other fields outside the aerospace, defense, and maintenance domains for its clear,…

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Infrastructure Patterns for Production AI Agents

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✨ Check out this must-read post from Hacker News 📖 📂 **Category**: ✅ **What You’ll Learn**: Most teams start building agents the same way they build any other web feature: wrap the model in a route handler, parse the request, and wait for the response. This is fine for a demo. It's also the first thing to break in production. Agents are long-running, stateful, and non-deterministic. They call tools, wait for external APIs, branch into subtasks, hit rate limits, and crash halfway through multi-step sequences. If your agent is tied to a single HTTP request, you've coupled your application's reliability…

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