Robots, Layoffs, Pentagon Standoff
· The Fluency Briefing
The Fluency Briefing
Your Guide to What's Happening in AI and Why It Matters to You
Saturday, February 28, 2026
Three patterns jumped out of today's AI news and they're all connected: Google wants to become the Android of robots, Block just fired 40% of its workforce because AI made them redundant, and Anthropic is staring down the Pentagon rather than let its models power autonomous weapons. The common thread?
AI stopped being a conversation about software this Saturday and became a conversation about power - who wields it, who loses it, and who draws lines in the sand.
Today in AI:
- Google Wants to Be the Android of Your Future Robot Overlord - Google moved its robotics software company Intrinsic from its experimental "Other Bets" division into the main company. The play is to build an operating system that runs on any robot hardware, just like Android runs on any phone. McKinsey projects the general-purpose robot market could hit $370 billion by 2040. CNBC
- Block Cuts 4,000 Jobs, Stock Pops 24% - Jack Dorsey slashed Block's workforce from 10,000 to 6,000, calling AI-driven restructuring "inevitable." Revenue per employee jumps from $2.4M to $4M post-layoff. Wall Street rewarded the move immediately, which tells you everything about how investors now value headcount. Ars Technica
- Anthropic Refuses the Pentagon, Gets Blacklisted - Anthropic won't let the military use its AI for autonomous weapons or mass surveillance, and the Pentagon responded by designating it a "supply chain risk." OpenAI and xAI reportedly agreed to the terms. CEO Dario Amodei says "threats do not change our position." The Verge
- OpenAI Closes $110 Billion, the Largest Venture Deal Ever - SoftBank and Nvidia each put in $30 billion, Amazon contributed $50 billion, valuing OpenAI at $840 billion post-money. The company now has 900 million weekly active users and 50 million consumer subscribers. For context, Anthropic raised $30 billion just two weeks ago. OpenAI
- AI Safety Is Now a Campaign Issue - New York Assemblyman Alex Bores, who authored the first major US AI safety law, is running for Congress and facing a $125 million super PAC backed by OpenAI cofounder Greg Brockman, Andreessen Horowitz, and Palantir's Joe Lonsdale. Translation: the AI industry is spending big to discourage regulation. CNBC
- Coding Agents Made a Skeptic a Believer - Developer Max Woolf, a self-described AI agent coding skeptic, chronicled increasingly ambitious projects including porting Python's scikit-learn library to Rust. His verdict: recent models like Opus 4.6 and Codex 5.3 are "an order of magnitude better" than models from just months ago. Simon Willison
- Moltbook's AI Social Network Was Mostly Humans Pretending - The buzzy platform where AI agents supposedly invented their own language and religion turned out to be riddled with human-directed fakery. The real story, though, is the environmental cost: AI agents spawning agents that spawn agents, all burning through compute and energy resources at scale. Fast Company
- Tech Layoffs on Pace to Break Records - Through February, tech companies have laid off 23,000 employees. Annualized, that projects to 153,000, exceeding 2023's peak. The difference: these aren't struggling companies. Amazon, Pinterest, Workday, and Autodesk are all cutting while growing revenue double digits. Tom Tunguz
Today's Takeaway:
Here's the thing about Block's 40% headcount cut: it's not an outlier, it's a signal. As Tom Tunguz detailed, AI-native companies like Cursor are generating $3.3 million in revenue per employee - compared to the $100K per employee that was standard for SaaS startups five years ago. That's a 33x gap. When Block demonstrated it could maintain $6.3 billion in quarterly revenue with 6,000 people instead of 10,000, and the stock jumped 24%, every board in tech took notice. The competitive pressure is now running downhill fast.
Contrast Block's approach with Anthropic's standoff against the Pentagon. Both companies are making existential bets about what AI means for their future, but in opposite directions. Block is embracing AI's ability to replace human labor and getting rewarded for it. Anthropic is drawing hard lines about what AI shouldn't do and getting punished - blacklisted by the government, watching rivals like OpenAI and xAI agree to military terms. As The Verge reported, Anthropic even scrapped its core safety pledges, replacing them with nonbinding targets, under competitive pressure. The market rewards speed and efficiency. It doesn't yet know how to price conscience.
💡 Fluency Moment - Building your AI fluency, one term at a time.
"Physical AI"
In plain English: AI that controls robots and machines in the real world, not just software.
Think of it like: Like upgrading from a GPS app on your phone to a self-driving car that actually steers.
Why you'll hear about it: Google is building an operating system to run Physical AI on any robot.
🧰 Your Toolkit
5-Minute Quickstart: Using AI as Your Personal Assistant
- Open ChatGPT or any free AI chatbot in your browser - no account needed to get started on many platforms.
- Type a real task you do daily, like 'Help me write a polite email to reschedule a meeting with [PERSON].'
- Ask AI to explain something confusing by typing 'Explain [TOPIC] like I am 10 years old, using simple examples.'
- Try giving AI a decision to help with: 'I need to choose between [OPTION A] and [OPTION B] - list pros and cons.'
- Ask AI to make a quick plan: 'Give me a 5-step beginner plan to learn [SKILL] starting this week.'
- Save one response you loved by copying it into a notes app - this becomes your personal AI prompt library.
Next, experiment with asking AI to help you summarize articles or brainstorm ideas for a project you are working on. The more specific your questions, the more useful AI becomes.
The Bottom Line
The Pattern: Every major story this Saturday shares a single plot point - AI is forcing binary choices with no easy middle ground. Google is betting physical AI will follow the same playbook as smartphones. Block proved that cutting humans and betting on AI gets you a standing ovation from Wall Street. Anthropic discovered that saying "no" to the Pentagon gets you labeled a national security risk. These aren't incremental shifts; they're forks in the road.
Why It Matters: The gap between companies that aggressively adopt AI and those that don't is widening from a competitive advantage into a survival question. Revenue-per-employee is becoming the metric that boards obsess over, and the companies setting that benchmark are running 30x leaner than the old standard. Meanwhile, the safety guardrails that were supposed to keep AI in check are being actively dismantled by market pressure and government demands - which means the consequences of getting this wrong are growing at the same rate as the capabilities.
Your Move: Pull up your company's revenue-per-employee number this week and compare it to the benchmarks Tom Tunguz laid out. If you're below $500K, start mapping which workflows AI agents could realistically handle in the next six months - because your competitors are already doing exactly that math.
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Fluently yours, The My AI Fluency Team