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- 🍭 That's How You're Paying For AI 💸
🍭 That's How You're Paying For AI 💸
Power Bills, Bot Burdens

Good morning. We taught machines to think. Now we’re teaching them how to behave in public.
Let’s dive in 👇
🍭 What’s Cookin’:
Why AI is quietly showing up on your electric bill
IBM’s answer to runaway AI agents: adult supervision
ChatGPT Go rolls out globally at a lower price point
Steal This Prompt
💪 AI Fitness Plan: Automatic Exercise & Workout Creator
Turn your goals into a ready-to-follow fitness plan. A workout schedule, exercises, and structure. Designed to make AI your de facto fitness coach.
Perfect for:
people who want a personalized workout plan fast
anyone who hates writing their own routine
beginners to advanced trainees looking for structure
Workflow:
Click this link (Prompt).
Paste into your AI model
Replace the #s with your age, goals, equipment access, schedule, and preferences
Watch the AI generate a fitness plan you can actually use

Government
💸 AI’s Power Bill Is Showing Up in Your Mailbox
The Bite:
AI data centers are expanding faster than the U.S. power grid can handle.
To keep up, utilities are upgrading infrastructure, buying emergency power, and spreading the cost across everyone’s electric bill.
That means households are paying more.
Not because they use more power, but because AI does.
This isn’t a short-term spike.
It’s what happens when AI quietly becomes core infrastructure.
Snacks:
U.S. electricity prices rose 5.2% year over year, with areas near data centers seeing far steeper increases
Data centers could consume up to 12% of U.S. electricity by 2028, up from 4.4% in 2023
Virginia hosts the world’s largest data center cluster, with expansion moving into new states
Utilities and states are scrambling to make large AI users pay more of their own load
Federal officials are pressuring PJM to intervene as costs climb
Why it Bites:
AI is being treated like software, but it behaves like infrastructure. Closer to highways or water systems than apps.
The problem is we’re building it at startup speed on a grid that moves at government speed.
Until pricing catches up, regular households are effectively subsidizing AI progress for companies like Microsoft, Amazon, and Meta.
The uncomfortable truth:
if AI is going to power the economy, someone has to pay for the wires.
Right now, that someone is you.
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ToolBox™
🧰 5 BRAND NEW AI LAUNCHES
🍜 Noodle Seed
Build a branded AI assistant for your business so customers find you when they ask ChatGPT what to buy, book, or trust.
💸 21st Fund
Find grants, credits, and non-dilutive funding without begging VCs or sacrificing your cap table.
🧠 Soch
Turn doom-scrolling into actual learning with an AI-curated feed that summarizes research based on what you care about.
🧑💻 Coderrr
Ship code faster with a free, open-source AI coding buddy that lives in your terminal, not your IDE.
🧩 flins
Version and share AI agent “skills” like packages so your dev team’s bots don’t go feral across tools.


Which image is real?One's real. One's AI. You decide. |


IBM
🏢 Is Selling “Adult Supervision” for AI Agents
The Bite:
Big companies love the idea of AI agents that can act on their own.
What they don’t love is what happens when those agents make mistakes, touch sensitive systems, or quietly break compliance rules.
IBM just launched a new enterprise service designed to sit between companies and their AI agents. It adds guardrails, controls, and oversight.
It’s a clear signal that agentic AI isn’t stalled because it doesn’t work, but because most companies aren’t ready to manage it.
Snacks:
IBM launched Enterprise Advantage to help companies deploy and govern agentic AI at scale
The service bundles consulting, reusable AI assets, and governance frameworks
It’s aimed squarely at CIOs and CTOs worried about runaway automation
IBM is positioning itself as the layer that keeps AI agents useful and contained
The pitch: autonomy is powerful, but only if someone’s watching
Why it bites:
Companies want AI to behave like employees, taking initiative, executing tasks, and working across systems.
All that without the accountability, oversight, or responsibility that comes with human workers.
That mismatch is why agentic AI keeps getting stuck in pilots instead of production.
IBM’s move makes sense: enterprises need supervision before autonomy.
But it also shows how fear, complexity, and risk have become a business model.


Everything Else
🧠 You Need to Know
🔥 10 Things Burning Out On AI Coding Agents Teaches You
→ AI coding agents are powerful for prototyping but still require human judgment, architecture, and patience to finish real software.

🌍 OpenAI Launches ChatGPT Go Worldwide
→ OpenAI rolled out ChatGPT Go globally, offering a lower-cost plan with higher usage limits and faster models.
⚡️ AI Data Centers Are Driving Up Electricity Costs
→ The AI data center boom is straining the U.S. power grid and pushing residential electricity prices higher as tech giants consume more energy.

🏢 IBM Launches Enterprise Advantage for Agentic AI
→ IBM introduced a new enterprise service to help companies deploy, govern, and scale agent-based AI systems in production.
🌏 China Is Only “Months” Behind U.S. AI Models, DeepMind CEO Says
→ DeepMind CEO Demis Hassabis says China has nearly caught up on AI models but hasn’t proven it can push past the frontier yet.

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— Eder | Founder
— Doka | Editor
Snack Prompt & The Daily Bite
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