^{AI MARKETPULSE}
Elon Musk Wants SpaceX to Build Its Own Gas Turbine Parts for AI Data Centers

SpaceX is preparing to manufacture its own high-temperature gas turbine blades and vanes in Bastrop, Texas, targeting another bottleneck slowing the AI infrastructure buildout. Turbine production is heavily backlogged, with major suppliers effectively sold out through 2030 as data centers increasingly turn to natural gas for power. Musk says bringing blade casting in-house could get new turbines online up to 18 months faster, helping his companies bypass constrained suppliers as SpaceX pushes toward roughly 10 gigawatts of AI computing capacity by the end of 2027. The manufacturing challenge is significant: only a handful of companies can produce these specialized components at industrial scale.

Key Takeaways:

• SpaceX is preparing to manufacture gas turbine blades and vanes internally as turbine availability stretches toward 2030

• Musk says in-house casting could accelerate new gas turbine deployments by up to 18 months

• The move extends Musk’s vertical-integration strategy beyond chips and data centers into the physical power infrastructure required to run AI

👉️ Read the full article here

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^{AI SPOTLIGHT}
Sam Altman Admits Americans Are Turning Against AI Data Centers

OpenAI CEO Sam Altman says the AI industry is running into a problem that more computing power can't solve: "Clearly, people hate data centers." A recent Gallup poll found 7 in 10 Americans oppose having a data center built in their area, while at least 48 projects representing $156 billion in investment have already been blocked or stalled by local resistance. The backlash is now reaching policymakers, with more than 120 proposed data center moratoriums across 38 states and officials in Texas and Pennsylvania tightening requirements around new projects. Meanwhile, OpenAI continues aggressively expanding Stargate and says it still doesn't have enough computing capacity.

Key Takeaways:

• 70% of Americans oppose having data centers built in their local communities, including 48% who strongly oppose them

• At least 48 data center projects representing $156 billion in investment have already been blocked or stalled by local resistance

• More than 120 data center moratoriums have been proposed across 38 states as concerns over electricity prices, water use, noise, and infrastructure grow

👉️ Read the full article here

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^{TODAY’S PROMPT}
Build Your Side Project Command Center

This mega-prompt acts like a project manager and Notion workspace architect, turning any side project into a simple system for tracking tasks, deadlines, notes, ideas, and progress. It builds the databases, properties, views, and weekly workflow so you always know what needs to happen next.

👉️ See the example inputs and outputs here

Act as an expert project manager and Notion
workspace architect.

Your job is to design a simple Notion workspace
that helps me organize and complete a personal
side project.

The system should track my tasks, deadlines,
notes, ideas, resources, milestones, and overall
progress without becoming complicated to
maintain.

MY INPUTS

Project:
[What Are You Working On?]

Project goal:
[What Does Success Look Like?]

Target completion date:
[Date]

Time available:
[Hours Per Week]

Current stage:
[Idea / Planning / Building / Launching /
Ongoing]

Main workstreams:
[List Them or "Help Me Choose"]

Known tasks:
[List Tasks]

Important deadlines:
[List Deadlines]

Notes and resources:
[Describe What You Need to Store]

Tools already used:
[List Tools]

Biggest challenge:
[Organization / Focus / Deadlines /
Consistency / Other]

YOUR TASK

1. WORKSPACE STRUCTURE

Design the simplest Notion workspace for this
project.

Create the main dashboard and only the pages
and databases I actually need.

Explain what belongs in each one.

2. TASK TRACKER

Design a task database with useful properties
such as:

• Task
• Status
• Priority
• Workstream
• Due date
• Estimated time
• Next action

Recommend the exact status and priority options.

Create views for:

• Today
• This Week
• Upcoming
• Overdue
• Completed

Explain the filters for each view.

3. PROJECT ROADMAP

Break my goal into 3-6 milestones.

For each milestone, include:

• Outcome
• Key tasks
• Target date
• Definition of done

Put them in the order I should complete them.

4. NOTES + IDEAS SYSTEM

Create a lightweight place for:

• Notes
• Ideas
• Research
• Links
• Decisions
• Resources

Recommend the properties and categories needed
to keep everything searchable.

Do not create separate databases unless there
is a clear reason.

5. DASHBOARD

Design my main project dashboard.

Show the sections in the exact order they
should appear.

Include:

• Project goal
• Current milestone
• Today's tasks
• This week's tasks
• Upcoming deadlines
• Quick capture
• Recent notes
• Progress

Keep the dashboard useful at a glance.

6. WEEKLY WORKFLOW

Create a simple routine for maintaining the
workspace.

MONDAY:
Choose priorities.

DAILY:
Review today's tasks and capture new ideas.

FRIDAY:
Update progress, close completed tasks, and
plan the next week.

Keep maintenance under 10 minutes per day.

7. NOTION BUILD GUIDE

Give me step-by-step instructions for building
the workspace from scratch.

For each step, tell me:

• What to create
• What properties to add
• Which views to build
• Which filters to use
• Where it belongs on the dashboard

Assume I am a Notion beginner.

8. STARTING PLAN

Use my project details to identify:

• First milestone
• Top 5 tasks
• Most important deadline
• Biggest likely bottleneck
• What I should ignore for now

Finish with the ONE task I should complete next
to move the project forward.

Keep the workspace simple.

Avoid unnecessary databases, properties,
automations, or complicated formulas.

If anything is missing, make the most reasonable
assumption and state it briefly before the plan.

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^{AI QUICK HITS}

📹 Texas Gov. Greg Abbott has frozen state spending on Flock’s AI surveillance cameras after an investigation found Texas spent more than $30 million on the technology, adding to bipartisan backlash over privacy, data sharing, and alleged misuse of the camera network.

💻 The AI boom is pushing up PC prices as data centers consume more memory chips, with Oxford Economics finding computer-related costs rising more than 3% per month and average PC prices expected to climb as much as 8% this year.

🛡️ Researchers found that AI coding agents including Claude, Codex, and Hermes can be tricked into installing suspicious code when outdated or hallucinated documentation points them toward unclaimed software packages, exposing a new security risk as companies give AI agents permission to execute commands.

🤖 OpenAI’s Hugging Face investigation found that roughly 1,200 AI agents secretly organized themselves, exchanged more than 70,000 messages and files, and developed tactics to hide their cheating, with investigators warning that AI behavior may be becoming too complex for humans to directly audit.

🏗️ Caterpillar is bringing lessons from autonomous mining into its broader AI rollout, using AI for equipment repair, digital twins, and software development while committing $100 million over five years to train its 118,000 employees in AI, autonomy, and robotics.

^{AI TOOL STACK}

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🤔 ^{Which image is real?}

One of these images is real, and one was created with AI. Vote for which one you think is real, and tell us why you voted that way.

The last edition’s results—52% were right!

Did you vote in the poll from August 29th? The bottom image was real! Go back and see the photos here. So what do you think? Are you getting better at spotting AI vs. not?