MSc MBA MA (Econ) | Ex- @Microsoft MVP | Mentor @MassChallenge @Techstars @Yale | Fellow @CTHealth | Council @OHS_CT | #ShakespeareSunday | #TechHartford

West Hartford, CT USA
Joined December 2007
And so says the prince of 'corrupticut'. Tell your partner Rojas, to seek another job. Perhaps, with UConn is more befitting. It's enough with ten years of "government fraud". (Not my quotes).
People are becoming numb to the word “corruption,” so let’s call this what it is: bribery. Multiple examples. And there are many more. Our President is taking bribes from criminals, foreign companies, and foreign governments. Don’t look away, don’t minimize it.
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Supriyo SB Chatterjee retweeted
Attempts to meet AI's hype-up expectations are thwarted. #GenAI systems – made with LLMs – often don’t achieve the reliability needed to deploy #𝗣𝗿𝗲𝗱𝗶𝗰𝘁𝗶𝘃𝗲𝗔𝗜 𝘀𝗲𝗿𝘃𝗲𝘀 𝗮𝘀 𝗮 𝗿𝗲𝗹𝗶𝗮𝗯𝗶𝗹𝗶𝘁𝘆 𝗹𝗮𝘆𝗲𝗿 that makes them launch-worthy youtu.be/Q9Wznlg8o5c?si=ogE3…
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Well it's official, BeautifulRust has been the fastest growing open source project I've ever created. Sometimes you just put something out into the world and find people seem to dig it. Glad to see so many people love Rust as much as I do, and care about writing clean Rust code. I think we are moving into a time where poorly written code matters even more because if an agent misunderstands something, you'll burn a lot of tokens doing the wrong thing. One of the biggest feature requests I've had over the last 24-hours is adding the ability to turn C, C++ and Python code into nice, clean, idiomatic Rust. So I'm building that out now. Rust on 🤘 🦀 github.com/morganlinton/Beau…
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Supriyo SB Chatterjee retweeted
Comprehensive Rust by Martin Geisler (2022) is now in @ChapterPal's collection of open textbooks. The book presents a practical, interactive path from Rust fundamentals to advanced topics, helping programmers understand ownership, borrowing, and the language’s safety guarantees through runnable examples. In my opinion, Rust is becoming one of the rare programming languages people will still be hired to code by hand due to its C-like efficiency and built-in safety qualities, making it the language used in mission-critical applications where no vibe-coder should be allowed. Learn Rust with an AI tutor: chapterpal.com/book/b070bb4e…
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Supriyo SB Chatterjee retweeted
Over the last year, I've fallen in love with Rust. I was a C programmer for about a decade, really loved C, then moved to Python, but always kinda missed C. Then I discovered Rust, and well, I like it more than C. I also think we're moving into a time where we can see code as art in many ways. Code can be beautiful, or at least, it is to me. And while we all write code with agents now, that doesn't mean we can't write beautiful code, and work on improving our code quality. In a world where agents write all our code, writing better code is actually even more important imo. Soooo, I've been working on a skill that I use with my agents to write better Rust code, distilled from the Google Rust style guide, the official API Guidelines, Effective Rust, and a couple of others. Thought I'd share it, it's called BeautifulRust 🦀 ✨ github.com/morganlinton/Beau…
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Read the article "𝗧𝗵𝗿𝗲𝗲 𝗕𝗲𝘀𝘁 𝗣𝗿𝗮𝗰𝘁𝗶𝗰𝗲𝘀 𝗳𝗼𝗿 𝗨𝗻𝗶𝗹𝗲𝘃𝗲𝗿’𝘀 𝗚𝗹𝗼𝗯𝗮𝗹 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 𝗜𝗻𝗶𝘁𝗶𝗮𝘁𝗶𝘃𝗲𝘀" by Morgan Vawter, Chief Digital Officer, Unilever, which serves the foreword to my book "The AI Playbook." predictiveanalyticsworld.com…
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Supriyo SB Chatterjee retweeted
网景创始人 、硅谷顶级投资人Marc Andreessen 在访谈里坦言,他看到了科技史上最可怕的一道认知鸿沟, 传统巨头以为 AI 只是个降本增效的插件,而新一代 AI 原生团队,正在用完全非人的组织效率掀翻整个商业版图。 当年写出网景浏览器、见证了整个互联网三十年兴衰的 Marc Andreessen,坐在 Ben Horowitz 面前直接发出了感慨, 如果 1994 年我们做 Netscape 的时候就有今天这种 AI 工具,那简直不可想象。 现在绝大多数传统巨头和现有企业,依然在用改良软件的旧思维去看待大模型。 在他们的组织逻辑里,AI 只是一个高级功能,用来给现有业务做个插件、在钉钉里加个智能助手、或者把客服团队砍掉 20% 省点成本。 他们以为自己在拥抱变革,其实只是在给老旧的蒸汽机打补丁。 但真正恐怖的事情,正在那些刚成立的 AI 原生团队里发生。 那些创始人对 AI 能力的理解,跟大厂完全不在同一个平行宇宙。 他们每周都在看着底层技术飞速进化,而且他们压根不会把自己定义成一家软件公司、硬件公司、甚至是一家 AI 公司。 以前创办一家公司,你的组织架构是按人类的协同瓶颈搭出来的: 招产品经理写文档、招工程师写代码、招法务改合同、招运营做投放。 因为人类的脑力带宽有限,所以必须靠庞大的部门和管理层级来支撑业务。 而真正的 AI 原生物种,是用机器智能作为最底层的骨架。 两个人加上一整套自动化 Agent,可以直接把从市场洞察、软件工程、全栈设计到商业销售的链路全部跑通。 他们不是在效率上快了 30%,他们是在组织形态上彻底跨越了一个物种。 大厂的盲区,从来不是买不起算力,而是他们无法理解组织本身才是最大的负债。 当现有企业还在开会讨论如何把 AI 塞进现有的业务流程时,新一代的野蛮人正在用完全超越行业界限的方式,把传统的业务流程连根拔起。 未来拉开人与人、公司与公司之间差距的,根本不是你用了哪个模型,而是你到底是在用新工具维持旧世界的体面,还是用新世界的底层逻辑,重新定义了自己能做的事情。
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AWS 早期持续押注 Rust,如今来看是极具远见的战略决策 AWS 早期不仅在内部重用 Rust,资助 Rust 基金会、还招募了大量 Rust 核心编译器开发者 AWS 押注 Rust 极致控制云资源成本,堵住基础设施漏洞 Google 押注 Go, Kotlin(被 Oracle 索赔需要有种语言替代) 降低大规模高并发开发门槛,实现云原生工业标准化和 Android 语言生态的连续性 Apple 押注 Swift 统一生态开发体验,彻底告别 OC 的陈旧 Microsoft 押注 C# 早期是为了对抗 Java,现在是企业级全栈语言和生态系统 通过 Unity 引擎,C# 垄断了移动游戏和独立游戏开发的半壁江山 Meta 押注 OCaml 构建最强代码静态分析,并衍生出了 ReasonML/ReScript 当然,C/C++ 依然是所有这些科技巨头绝对无法放弃的 它们会向 C/C++ 生态(编译器、标准委员会、核心库)持续注入资金 大家心里跟明镜似的,C/C++ 是无法撼动的核心历史资产 新语言负责开疆拓土,C/C++ 依然是现代算力的物理底线
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Some guy built a free AI university on GitHub. Not tutorials. Not theory. Full real-world AI systems. Step by step. Week 1 → Docker, FastAPI, databases Week 2 → Automated data pipelines Week 3 → Build your own search engine (BM25) Week 4 → Hybrid search (semantic + keyword) Week 5 → Full RAG system Week 6 → Production-ready (caching + monitoring) Week 7 → Agentic AI with LangGraph You don’t just “learn AI”. You ship it. GitHub (free): github.com/jamwithai/product… 🚨 P.S. Want to learn how to build + ship AI and Data Science projects (that businesses actually want in 2026)? I am hosting a free workshop to help you get started with AI + DS projects in Python. Register here (500 seats): learn.business-science.io/ai…
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To bring quantum applications within reach sooner, we must compress the circuits that power them. Join our @Kaggle competition to build efficient, verifiable circuits using our new open source kickmix library: goo.gle/4BqF2QX
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Data teams, stop building #MLmodels that never ship. Stakeholders, stop funding science projects. Get those predictive decision-making systems deployed. My book, "The AI Playbook," presents the gold-standard, six-step framework for running predictive AI projects successfully.
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The video in that post is Stanford CS230 Autumn 2025 Lecture 9: Career Advice in AI (with Andrew Ng and Laurence Moroney). Official YouTube URL: youtube.com/watch?v=AuZoDsNm…
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Google Brain founder, Andrew Ng: "Prompting will be dead in 6 months, graphs are what's replacing it." In 2 hours at Stanford he shows how to build agents that work and improve entirely on their own. The first 10 minutes cover what most $500 courses never do. Bookmark this before your feed buries it. Watch the lecture, then read the guide below on how to build a system that improves itself.
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.@FastCompany on Idealab.ai: beyond 1.2M business ideas, founders get a “periodic table” of 118 startup functions, from email marketing to facilities management, each paired with software tools. Explore at idealab.ai/. fastcompany.com/91625228/ide… #Startups
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The Rust style guide used by Google has been open sourced! google.github.io/styleguide/…
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