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- 🔥 OAI's Superintelligence Gets Political
In partnership with
We’re breaking down OpenAI’s 13-page "AGI New Deal," including robot taxes, a public wealth fund for every citizen & the official push for a 32-hour workweek!
What's on FIRE 🔥
IN PARTNERSHIP WITH SECTION
AI is changing how everyone works – so how do you get your team to buy into a new vision for their roles?
Join Section and Horizon Media’s Domenic Venuto on April 14 for this free session to get the formula for getting your team motivated and certified for AI augmentation.
AI INSIGHTS
You don't usually see a tech billionaire hand the gov a manual on how to tax his own company and redistribute his wealth. But just did exactly that. OpenAI’s 13-page blueprint, “Industrial Policy for the Intelligence Age,” outlines a future that sounds like sci-fi but is being planned for right now:
Public Wealth Fund: Every American citizen would get a direct stake in the economy to capture growth as machines take over labor.
Robot Taxes: A shift away from payroll taxes toward capital gains and corporate income.
32-Hour Workweek: Incentivizing a four-day workweek at full pay.
Right to AI: Framing AI access as a foundational right, similar to literacy or electricity, ensuring it remains affordable for everyone.
Containment Playbooks: A chilling protocol for "rogue AI" that can replicate itself and cannot be easily recalled.
There is a brilliant, if slightly cynical, strategy at play here. Altman is making sure he’s the one holding the pen. He’s essentially saying, "I’m building something that could break the world, so please, help me build a safety net to catch the pieces."
Whether you see this as a visionary move or a massive PR shield, the man at the center of the AI revolution is telling us that capitalism alone cannot survive AGI.
PRESENTED BY HUBSPOT
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PRO AI SOURCES FROM AI FIRE
🔥 Ep 46 Tooldrop: Runs 10 AI Coding Agents at Once. Works with Claude Code, Codex CLI, Gemini CLI, or Any CLI-Based Agent. Free, MIT Licensed!
Today we explore & test 5 AI tools that turns any idea into a fully operational startup that runs 24/7. It builds your pitch deck, and your full-stack web application.
→ Get your full breakdown here (Free, no hidden fee)!
1. NEW Claude Cowork Feature That Automates 90% of Repeated Work (Beginner Guide). Turn Claude into a long-term collaborator instead of a one-time chatbot using Projects, Skills, and scheduled workflows.
2. 5 Claude Prompts I Wish Someone Showed Me a Year Ago (Full Breakdown). These 5 prompts help Claude do more than answer questions. They help it think better, structure better, and save you serious time on repeated work. Just copy & use them.
3. Small Tip to Give Your Claude Infinite Memory and Turn It Into a True Work Partner. Turn Claude into a professional partner that knows your history. Save every session to a permanent vault and watch your AI grow smarter every day.
4. How to Create 30+ Social Media Posts in Just Under 60 Mins (Claude + Canva Method). Follow these easy steps to build a content machine. Use AI to handle the boring parts and spend more time on your big business.
18 PRO CLAUDE TOKENS TIPS & TRICKS
⚡ Our 18 Secret Claude Tokens Tips & Tricks to Stop Burning Your Daily Spend (Freemium Guide)
If you were at our last AI Fire workshop on Claude CoWork, you already saw how fast things can move when the setup actually works.
🎥 Missed it? Watch the CoWork workshop recording here, we covered Claude Chat vs. Code vs. CoWork, how to build your own Skills with simple .md files, and how to put your morning email triage and scheduling on autopilot.
One question came up more than once during that session: "Why do I keep hitting the token limit, and what do I do when I do?"
It's a fair question. You're in the middle of something that's actually working, the workflow is clicking, and then, You've reached your limit. Everything stops.
Most of the time, it's not because you're working too much. It's because the session is carrying a lot of invisible weight. The tokens are draining in the background before the real work even begins.
So, this guide walks you through 18 practical tips to help you stretch your sessions, cut the waste, and stay in flow longer without spending a single extra dollar.
TODAY IN AI
AI HIGHLIGHTS
🤯 A possible leak shows GPT-Image-2, OpenAI’s next image model, may even beat Nano Banana Pro. Nothing confirmed yet, but comparisons are already going viral.
📹 Pika just launched PikaStream 1.0 for real-time video calls with your digital self. Imagine jumping on Google Meet but it’s your AI clone. Watch the viral demo video.
🎙️ Google dropped an offline AI dictation app that cleans your speech automatically, removing “um” & “ah” in real time. It could challenge Wispr Flow soon. Try it here.
🎬 Netflix released VOID, an open-source AI that edits video with real physics logic. In tests, 25 evaluators preferred VOID nearly 2/3 of the time over tools like Runway.
⚡ Broadcom just expanded deals with Google and Anthropic, delivering 3.5GW compute capacity. Some estimates suggest $42B revenue by 2027 from this alone.
💸 Several OpenAI early team members started a $100M VC fund called Zero Shot. They’re already investing, but avoiding hype areas like vibe coding or digital twins.
💰 Big AI Acquisition: Nvidia plans to acquire SchedMD, the creator of Slurm - software used in about 60% of the world’s supercomputers. Some worry Nvidia could favor its own chips, affecting fair software access.
NEW EMPOWERED AI TOOLS
🌕 Moonshot is a macOS menu bar app that tracks NASA’s Artemis II mission in real time, showing mission phases, and return events,…
🎬 PixVerse V6 delivers high success rates for intense action, transforms, and bullet-time, all with perfectly synced audio.
🧭 AgentPulse is the visual command center for OpenClaw. Everything you do in the terminal, you can do here: monitor agents, assign tasks…
🛍️ KREV helps ecommerce brands turn a single product image into product photos, video ads, and launch-ready creative.
AI BREAKTHROUGH
Meta found that even the best models fail when they hit ‘tribal knowledge’, those weird naming conventions that only the senior engineers know about. So they built a literal swarm of 50+ specialized agents to document the why behind the code.
To map 4,100+ files across 3 languages (Python, C++, and Hack), Meta orchestrated a multi-phase agent workflow:
2 explorers mapped the repo structure while 11 analysts read every file to answer 5 core questions about dependencies.
Writers produced 59 concise context files that act as a navigation guide rather than an encyclopedia.
10+ critic passes ran 3 rounds of independent review to ensure zero hallucinations in file paths and logic.
Every few weeks, automated jobs re-run the swarm to detect context decay and auto-fix stale references as the code evolves.
Retrieval is no longer enough. Standard RAG fails on proprietary code because the answer is in the relationship between 6 subsystems. Before this system, AI context coverage was stuck at a measly 5% (only 5 files). Now, they have 100% coverage across 59 specialized files.
If you’re managing a large, messy codebase, stop trying to find a smarter model. Start building a compass layer. The secret to AI productivity is better navigation.
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The AI Fire Team
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