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How to watch Microsoft’s Build 2026 conference

Microsoft is kicking off its yearly Build developer conference in San Francisco today, sandwiched between the recent Google I/O and Apple's upcoming WWDC event. While tickets to attend Build in person are sold out, the conference is being streamed for free online, with CEO Satya Nadella opening with a keynote at 12:30PM ET / 9:30AM […]

2026-06-02 原文 →
AI 资讯

AI Agent Guidelines for CS336 at Stanford

AI Agent Guidelines for CS336 at Stanford Meta Description: Discover the official AI Agent Guidelines for CS336 at Stanford — what they cover, why they matter, and how students can navigate them effectively in 2026. TL;DR Stanford's CS336 (Language Models from Scratch) has specific guidelines governing the use of AI agents in coursework. These rules define what's permissible, what's prohibited, and how students should document AI assistance. Whether you're enrolled, curious, or building a similar policy framework, this article breaks down everything you need to know — with practical advice on staying compliant while still learning effectively. Introduction: Why AI Agent Guidelines Matter in Graduate CS Courses Artificial intelligence is no longer just the subject of computer science courses — it's actively reshaping how those courses are taught and completed. Stanford's CS336, one of the most rigorous language model courses in the world, sits at a fascinating crossroads: it teaches students to build large language models from scratch, while simultaneously having to govern how AI tools can be used during that learning process. The AI Agent Guidelines for CS336 at Stanford represent one of the first serious, detailed attempts by a top-tier institution to define the boundaries of AI-assisted work in an advanced ML course. For students, researchers, and educators alike, understanding these guidelines offers a window into the broader conversation about academic integrity in the age of generative AI. What Is CS336 at Stanford? CS336, officially titled Language Models from Scratch , is a graduate-level course offered through Stanford's Computer Science department. It's designed for students who want to go beyond using pre-trained models and actually understand — and implement — the full stack of modern language model development. Core Topics Covered in CS336 Transformer architecture and attention mechanisms Tokenization and vocabulary design Pre-training data pipelines and

2026-06-02 原文 →
AI 资讯

Why Enterprise AI Projects Fail: Platform-First Thinking

This article was originally published on davidohnstad.net . I cross-post here to reach the Dev.to community. { " @context ": " https://schema.org ", " @graph ": [ { "@type": "Person", " @id ": " https://davidohnstad.com/#author ", "name": "David Ohnstad", "url": " https://davidohnstad.com ", "sameAs": [ " https://www.linkedin.com/in/davidohnstad/ ", " https://orcid.org/0009-0007-9023-7456 ", " https://davidohnstad5.mystrikingly.com/ ", " https://github.com/davidohnstad40-netizen ", " https://hashnode.com/@davidohnstad ", " https://davidohnstad.com ", " https://davidohnstad.net ", " https://davidohnstad.info ", " https://david-ohnstad.com ", " https://davidohnstadminnesota.com " ], "jobTitle": "Senior Data Product Manager", "worksFor": { "@type": "Organization", "name": "Veeam Software", "url": " https://www.veeam.com " }, "alumniOf": { "@type": "CollegeOrUniversity", "name": "College of St. Scholastica" }, "address": { "@type": "PostalAddress", "addressLocality": "Duluth", "addressRegion": "MN", "addressCountry": "US" }, "description": "Senior Data Product Manager at Veeam Software, MS and MBA from the College of St. Scholastica, based in Duluth, Minnesota. Specializes in data architecture, AI/ML integrations, and SaaS platform development." }, { "@type": "Article", " @id ": " https://davidohnstad.net/why-enterprise-ai-projects-fail-platform-first#article ", "headline": "Why Enterprise AI Projects Fail: Platform-First Thinking", "description": "David Ohnstad reveals why enterprise AI initiatives fail despite massive investment. Learn the platform-first trap and how successful teams build differently.", "url": " https://davidohnstad.net/why-enterprise-ai-projects-fail-platform-first ", "datePublished": "2026-05-29T14:06:46Z", "dateModified": "2026-05-29T14:06:46Z", "author": { "@type": "Person", " @id ": " https://davidohnstad.com/#author " }, "publisher": { "@type": "Organization", "name": "David Ohnstad", "url": " https://davidohnstad.net ", "logo": { "@type": "Ima

2026-06-02 原文 →
AI 资讯

Meta’s own AI was exploited to hijack Instagram accounts

Meta's AI support chatbot helped hackers hijack Instagram accounts, as reported earlier by 404 Media. In a video shared on Telegram, a hacker shows how they could take over an account by asking Meta's chatbot to switch the email associated with someone else's profile and then reset the password. The issue, which Meta says has […]

2026-06-02 原文 →
AI 资讯

Casey Neistat’s guide to posting every day

Some news: The Vergecast is now a daily podcast! Starting today, we'll be posting every weekday, with even more gadgets and rankings and conversations and feelings and podcasts-within-podcasts. We're excited for all the ways this new schedule lets us tell new kinds of stories, experiment with new tech and new formats, and involve you even […]

2026-06-02 原文 →
AI 资讯

Microsoft to unveil new AI models and Windows improvements at Build

Microsoft is heading to San Francisco this week in a bid to win back developers at its Build conference. I've been attending Build since the days when Microsoft called it the Professional Developers Conference, and I can't remember a more pivotal moment. As Microsoft continues to reshuffle its entire business around AI, it's moving Build […]

2026-06-01 原文 →