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- 🍸 Sam's drunk-dunks torched Anthropic
🍸 Sam's drunk-dunks torched Anthropic
Are you burning $250k on 'Everclear' tokens?
Wendy
April 22, 2026
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Plus: 12 Wildest OpenClaw Use Cases I’ve Seen So Far (And Which Ones Actually Work) - Pro Advanced Guide!
Sam Altman is taking "drunk-dunks" on social media while Anthropic accidentally triggers a developer riot over a 2% pricing test. Drama behind the $100 Max tier…
What's on FIRE 🔥
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AI INSIGHTS
Yesterday, Anthropic accidentally triggered a developer riot by updating its docs to suggest Claude Code was moving from the $20 Pro plan to the $100 Max tier. While they called it a small test, Sam Altman took the opportunity to pour a few drinks and start a social media fire.
Anthropic’s Head of Growth, Amol Avasare, had to walk back a massive doc change that affected the perceived value of their most loved tool:
They later claimed this was only intended for 2% of new sign-ups, but the 98% who weren't involved saw it and panicked.
Sam Altman replied to the drama with a series of late-night posts, including a blunt "ok boomer" and an admission that he was having "a couple of drinks."
OpenAI’s Tibo and Sam Altman doubled down on the promise that Codex will remain in the Free and $20 Plus plans.
Anthropic admitted their current plans weren't built for 2026. "Agents that run for hours weren't a thing" when they launched Max, and the cost of maintaining long-horizon sessions is clearly bleeding their margins.
OpenAI, backed by its massive Microsoft-linked infrastructure, is using this moment to predatory-price Anthropic out of the market. They are signaling that they can afford to lose money on $20 coders just to keep you in the ecosystem.
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ALL FREE AI TUTORIALS FROM AI FIRE
1. How to Use Claude Co-work Step by Step (From Setup to Automation). A beginner-friendly guide to using Claude Co-work to organize files, build skills, and automate recurring tasks.
2. Things Nobody Tells You About Learning n8n (What I’d Do If I Started From Scratch). This article is not a recap of tools, features, or tutorials. It’s a reality check on what learning n8n actually feels like when you start from scratch.
3. One Skill Stack Will Dominate 2026 (It’s Not Hard Work). Why trying harder won’t save you in 2026 - and what actually will.
4. AI Problem Solving Is the Real Skill Gap in 2026. The core skills for using AI reliably in real work.
PRO: OPENCLAW WILDEST USE CASES
350,000 GitHub stars in 5 months, sure, everyone obsessed with OpenClaw right? If you feel like you’re seeing the word OpenClaw everywhere this month, you’re not imagining it. It stops the "AI Chat" and starts the "AI Work."
Most people use AI as a search engine. The "OpenClaw Class" is using it as a Chief of Staff. But most people are burning through API credits without seeing a single result.
I spent the last few weeks testing the wildest workflows to see what actually works for a beginner and what’s just a flashy demo.
Today, I’m sharing 12 real-world OpenClaw use cases that actually justify the cost, from personal operating systems to agency replacements.
If you're just getting started with OpenClaw, check out this OpenClaw mastery guide first. It has almost everything you need to get started & master it. There's a visualization inside this post showing how all your OpenClaw agents connect.
TODAY IN AI
AI HIGHLIGHTS
😐 You can now order Starbucks through ChatGPT but people (even us) aren’t impressed. Cool idea, but the experience still feels clunky and not that useful yet.
🕹️ OpenAI killed custom GPTs (kind of). It just launched Codex-powered workspace agents that run tasks for teams nonstop, even when you’re offline. See it in action.
🍱 These 12 AI prompts can handle your entire week of meals. Planning, shopping, prepping done in minutes. Honestly, this is one of the simplest ways to save hours.
🗂️ At Google Cloud Next this week, Google announced a range of updates to Workspace to make AI your new office intern. Here’s some of what’s new.
🧨 Anthropic is probing a possible breach of its Mythos model via a vendor system. No core systems compromised yet, but concerns already rise over misuse of this tool.
⚡ Google changed its AI chip strategy. One chip becomes two: training vs inference. It’s a direct move against Nvidia, promising faster performance for AI agents (details)
💸 Google dropped a $750M fund to push AI agents into real businesses. Big firms like McKinsey, Accenture, Deloitte & TCS are already in. More about this program.
💰 Big AI Fundraising: Microsoft is pouring $18 billion into boosting AI capabilities in Australia! This huge investment highlights Microsoft's strategic push to enhance their AI presence in the region.
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⚙️ InstantDB turns your favorite AI into a full-stack app builder. You get everything you need to ship apps. Free to use, 100% open source.
AI BREAKTHROUGH
In the 2020s, we’ve entered the Tokenmaxxing era. When NVIDIA’s Jensen Huang says he’d be alarmed if a $500k engineer didn't burn $250k in tokens, he’s describing a new, dangerous proxy for value. The article draws a brilliant, if sobering, analogy: Everclear vs. Fine Wine.
Everclear is 95% alcohol. A 1937 Domaine de la Romanée-Conti is about 13%. If "more equals better," the antiseptic-grade grain alcohol is 7x superior to the world-class vintage.
Tokenmaxxing treats AI output like ABV. If a Meta engineer lands at the top of the "token leaderboard," are they a genius, or did they just ask Claude Opus to translate War and Peace into Hellenic Greek 80,000 times?
Beyond the bad KPIs, there is a technical cost to this obsession with volume: Context Bloat. When we connect AI models to systems like Salesforce via MCP, we often dump massive bundles of instructions into the window before the task even starts.
To fight the "Tokenmaxxer," Lanin proposes the Slop Index. It has one very expensive hardware requirement: A Human Being. The Slop Index uses "neurons" (thoughts) instead of "tokens" (compute) to ask the only questions that actually matter.
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The AI Fire Team
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