ChatGPT Pulse wants to be your morning coffee

"ChatGPT Pulse - finally, a brew that actually listens when you say you need it stronger?"

What's up builders 👋

OpenAI just dropped ChatGPT Pulse and it's basically trying to become your AI assistant that works while you sleep. Google's teaching robots to think, and apparently high schoolers think writing code from scratch is as weird as using a flip phone. The future is here and it's vibing.

Today we've got proactive AI assistants, robotics breakthroughs, and the tools that'll make your weekend project look like a million-dollar startup. Let's dive in.

ChatGPT Pulse just entered preview and it's OpenAI's biggest bet on proactive AI yet. This reads your calendar, scans your chats, and delivers personalized daily updates without you asking. Think of it as your AI that's been working the night shift.

Why this matters: We're moving from reactive AI (you prompt, it responds) to proactive AI (it anticipates what you need). For builders, this means the race is on to create agents that don't wait for instructions. The $200/month Pro tier pricing tells you everything about who they're targeting - professionals who value their time more than their subscription budget.

It connects to your existing apps. This isn't siloed AI anymore. It's AI that understands your entire workflow. Start thinking about how your products can plug into this ecosystem because the "AI-first" workflow is becoming the default workflow.

• Gemini Robotics-ER 1.5 - Google's robotics model that brings reasoning to physical agents. Available in Google AI Studio preview for building robot brains

• v0 Team Templates - Reusable prototypes across your team without burning tokens. Ship consistent UIs in minutes

• VEED Fabric 1.0 API - Video generation API that's 3x cheaper than competitors. Programmatic video creation for your apps

• Gemini 2.5 Flash Updates - Better tool use and reliability. Access via preview models for bleeding-edge performance

• GDPval Evaluation - OpenAI's new metric for measuring real-world economic value of AI. Know if your model actually makes money

• Google's AI Agents Kaggle Course - Free course from Google experts on building production AI agents

• 11 Vibe Coding Best Practices - Master the art of building with AI assistants instead of from scratch

• LLM Evaluation Pipeline Guide - Step-by-step tutorial for evaluating your AI applications in production

• Thought-to-Post AI Workflow - Build a pipeline that turns voice notes into optimized content without typing

• "Vibecoding is the default" - OpenAI's Mark Chen says high schoolers see coding from scratch as weird. The paradigm shift is complete

• Users don't care it's AI - Stop making users pick models. They want outcomes, not options. Design for results

• Google Search problems - 646 HN comments dissecting search quality. Opportunity for AI-powered alternatives

• Students caught using identical ChatGPT responses - The new copy-paste problem hitting classrooms. Build better personalization

• Databricks pays $100M to OpenAI - Massive bet on enterprise AI adoption. Your corporate clients get easier access to GPT

• Juicebox raises $30M - LLM-powered recruiting with 2,500+ customers including OpenAI. The hiring stack gets AI-native

• Microsoft merges AI app stores - Business AI ecosystem consolidation. Fewer places to publish, bigger audiences

• LongCat-Flash-Thinking - Meituan's open source model rivals GPT-5. Clone the repo and start experimenting

• Analog AI hardware breakthrough - Nature paper shows 100x speed, 10,000x efficiency gains. The future of local AI

• 11+ Replit AI Alternatives - Comprehensive guide to AI coding platforms you haven't tried yet

• 7 weekend AI startup ideas - Pre-validated concepts you can ship by Monday

• OpenAI's GPT-5 matches humans at work tasks - New benchmarks show AI approaching human-level economic value

• ChatGPT Pulse deep dive - Everything about the new proactive assistant features

• Dad using ChatGPT for everything - Viral example of AI overuse showing the literacy gap

Here's a wild thought: if vibecoding becomes the default and AI handles the implementation details, what happens to Stack Overflow? We might be witnessing the last generation of developers who actually know how their code works under the hood. Or maybe that's fine - did you really need to know assembly to build the next unicorn?

Hit reply and tell me about your project - especially if you're using any of these new tools to ship faster.

Keep shipping,

P.S. - If ChatGPT Pulse starts writing better newsletters than me, I'm pivoting to a podcast where I just argue with AI about whether tabs or spaces matter when the AI is writing all the code anyway. Spoiler: it doesn't.