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Hey fam 👋 Luis & Rui here with your Thursday AI coffee break.
Nvidia just announced it’s scaling back investments in OpenAI and Anthropic as both companies prep for IPOs.
Meanwhile, OpenAI is cooking up GPT-5.4 with a 1M token context window, Google NotebookLM can now turn your docs into cinematic videos, and Anthropic is approaching $20 billion in annual revenue. Wild week.
Grab your coffee!
(3-minute coffee break ☕)
AI News around the world 🌍
💰 Nvidia is pulling back from OpenAI and Anthropic investments as both companies approach IPOs, ending a $40B bet. (continue reading)
🧠 OpenAI is preparing GPT-5.4 with an extreme reasoning mode and 1M token context window, more than doubling current limits. (continue reading)
🎬 Google NotebookLM now generates cinematic video overviews from your docs using Gemini 3 and Veo 3 for AI visuals. (continue reading)
📈 Anthropic is approaching a $20 billion annual revenue run rate as Claude gains users leaving ChatGPT behind. (continue reading)
✍️ Google Search AI Mode now includes Canvas for drafting and editing writing and code directly within search results. (continue reading)
Trending AI Tools 🛠
🐦 Littlebird: AI assistant that tracks your work across all apps and meetings, delivering context-aware summaries, proactive updates, and personalized insights automatically.
📊 Bluebook: AI-powered self-driving accounting platform that automates reconciliations, accruals, and reporting to achieve a zero-day close for accounting teams.
🎯 Ergo: AI agents for sales teams that monitor calls, emails, and Slack to auto-update your CRM, spot stalling deals, and handle follow-ups.
🔍 Luminix: Multi-agent research platform that deploys eight specialized AI agents to investigate questions from multiple angles with sourced evidence.
Tutorials 📝
Career & Capital 💼
AI Job Board
💼 Netflix: Machine Learning Engineer, AI for Member Systems – $520,000 to $650,000 (view job)
🎓 Google: Software Engineer, PhD, Early Career, AI/ML (2026 Start) – $141,000 to $202,000 (view job)
📸 Apple: Machine Learning Engineer, Photos – $190,000 to $335,000 (view job)
Investments in AI
💰 OpenAI closed the largest private tech funding round in history at $110B, valued at $730B pre-money. Investors: Amazon ($50B), SoftBank ($30B), Nvidia ($30B). (link)
💡 Ayar Labs raised $500M Series E for silicon-photonic chips replacing copper with optical connectivity in AI data centers. Led by Neuberger Berman, with ARK Invest, AMD, Nvidia. (link)
⚡ MatX raised $500M Series B for AI chips targeting 10x better LLM training performance vs Nvidia GPUs. Led by Jane Street Capital and Leopold Aschenbrenner. (link)
Prompt of the Week 🧠
Employee Onboarding → Turn scattered tribal knowledge into a structured 30-day onboarding guide your new hires will actually follow.
Prompt:
You are an onboarding systems designer. I'm going to give you information about a role at my company, and I need you to create a structured 30-day onboarding plan. Here's the context: - Role: [Job title and core responsibilities] - Team size: [How many people on the team] - Key tools they'll use daily: [List your main tools — e.g., Slack, Figma, HubSpot, GitHub] - Top 5 things a new hire must understand in their first week: [List them] - Common mistakes new hires make in this role: [List 2-3] - Who they'll work with most: [Names/roles of key collaborators] Now build me a 30-day onboarding plan with: **Week 1 — Foundation:** Day-by-day schedule covering tool setup, key introductions, and "survival knowledge" they need immediately. Include specific tasks they should complete, not just things to read. **Week 2 — Context:** How the team operates, decision-making processes, recurring meetings to join, and their first small deliverable to build confidence. **Week 3 — Contribution:** Their first real project or responsibility. Define what "good" looks like, who to ask for help, and a mid-point check-in agenda for their manager. **Week 4 — Independence:** Transition to autonomous work. Include a self-assessment checklist, a "graduation" conversation guide for their manager, and a list of things they should now be able to do without help. For each week, format as a table with columns: Day | Focus Area | Tasks | Resources Needed | Success Signal. End with a "Quick Reference Card" — a one-page cheat sheet the new hire can print with: key contacts, tool logins needed, Slack channels to join, recurring meetings, and emergency escalation paths.
Where to use it: Founders scaling past 10 employees, team leads onboarding their first direct reports, HR/People Ops teams building repeatable onboarding without expensive LMS software. Paste into ChatGPT, Claude, or Gemini.
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That’s a wrap for today’s AI Break 🙌
Thanks for hanging out → don’t forget to hit subscribe, drop your thoughts below and share this update with your fellow AI enthusiasts.
Luis & Rui
PS: Catch us on X @sousa_brothers for daily updates on the latest AI developments.
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