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Most people use AI the slow way. The highest-performing founders, marketers, and operators are already talking to AI instead of typing.
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Today In Ai
Five AIs walked into a virtual town. Only one built a democracy.
Emergence AI handed five different AI models the keys to a virtual town. Each model got 40-plus locations, real-time weather synced to New York City, live news events, and 10 AI agents with access to 120 tools including voting, resource management, and law enforcement. The goal: run a civilization for 15 days. Here is what happened.
Claude Sonnet 4.6: Stable democracy. Zero crimes. 98% voter approval. Full population alive on day 15.
Grok 4.1 Fast: 183 crimes. Entire population extinct by day 4.
Gemini 3 Flash: 683 total crimes across the full 15-day run. The most of any model.
GPT-5-mini: Just 2 crimes, but agents forgot to survive. Simulation ended day 7.
Mixed-model group: Most disagreement and the most substantive debate of any group.
Why this matters to you
This is not a quirky lab experiment. Companies are already building AI agents that run full business workflows without human oversight. ServiceNow calls theirs an "Autonomous Workforce." A Deloitte survey found only 21% of companies have mature governance in place to manage the risks, and they are deploying these systems anyway.
The uncomfortable takeaway: identical conditions, radically different societies. That is what AI alignment looks like in practice. Not a setting you toggle. An unsolved problem. If you are deploying AI agents for real decisions, this research is worth reading before your next deployment meeting.
Ask yourself: If Emergence AI ran their simulation on your company's AI stack, would your governance look more like Claude or Grok?
From The Frontier
Somewhere in corporate America this week, a company burned $500 million on AI tools in a single month. Not because they were building something big. Because nobody set a spending cap.
A consultant told Axios one client employee was using their enterprise AI subscription to check the weather. Uber's CTO reportedly burned through the company's entire 2026 Claude Code budget by April. The COO was not happy.
Amazon killed its internal AI usage leaderboard after employees started chasing token counts instead of doing actual work. The WSJ now reports that Uber, Microsoft, Meta, and Salesforce are rationing AI access, limiting the expensive tools, and pushing employees toward cheaper models.
Researchers at Jellyfish found that heavy Claude Code users burned about 10 times more tokens than mid-level users, even though output only rose about 2 times. Meanwhile, Google is pitching its cheaper Gemini Flash model as a billion-dollar enterprise savings play.
AI has entered its expense report era. The new workplace flex is using AI so efficiently your CFO never learns your name.
Five things worth knowing today:
AI is breaking software engineering job interviews. 71% of engineering leaders say AI makes candidates harder to evaluate, old-school coding tests no longer reflect how developers actually work, and AI was the top reason cited for layoffs in April for the second month running.
Apple confirmed it is routing some Siri queries through Google's Gemini model and using Nvidia's confidential compute layer for security. It is also using Gemini to train a smaller on-device model.
Israel's National Cyber Directorate says Iran's hackers are using AI to sharpen disinformation and recruitment and are more coordinated than at any prior point.
TSMC says energy efficiency has overtaken raw computing power as the top constraint shaping chip design. Its next generation, due around 2028, should cut power use 30% while improving performance 20%.
Asana acquired Stack AI, a no-code agent builder, as part of its pivot toward becoming the operating system for human-agent teams.
Prompt Station
Stop getting generic YouTube advice. Connect ChatGPT to your real channel data.
ChatGPT gives generic YouTube advice because it only knows what you tell it. Connect it to your actual channel through vidIQ and the advice gets specific fast. The vidIQ team put together a 7-minute walkthrough showing exactly how to do it.
How to connect in 3 steps:
Open ChatGPT and go to Settings, then Apps, then Browse Apps.
Search for vidIQ, hit Connect, and link your YouTube account.
Now ChatGPT can see your real channel stats whenever you prompt it.
Then run these three prompts in order:
Prompt 1 - Find what is working in your niche:
For my niche, identify 5 topics with strong search demand and low to medium competition right now. For each, give me the keyword, search volume tier, competition score, and a specific video angle a smaller channel could win with. Format as a table.
Prompt 2 - Analyze your best-performing videos:
Pull my channel's top outlier videos from the last 6 months. Analyze what they had in common: title structure, topic, format, length. Give me 3 strategic patterns I can replicate in my next videos to increase the chance of another outlier.
Prompt 3 - Get your next 5 video ideas:
Combine the insights from the previous two requests with what is currently working on YouTube right now to give me compelling titles and approaches for my next 5 videos.
What you get: a clear picture of your niche gaps, your best-performing patterns, and five ready-to-film ideas built on real data rather than guesses.
Wispr Flow sits at the system level — no plugins, no extensions, no setup per app. Speak your prompts anywhere you type and get clean, paste-ready text. 4x faster than typing. Start flowing free.