
AI Learning Lab
1/15/2026 - Overcoming the Internal Voice That Says 'They Don't Want to Hear From You'
Live Stream2026-01-161:57:17166 views
Transcript
Description
Thursday is the "They want to hear from you" night...
Kyle Shannon reveals a significant personal insight that has hampered his professional outreach: a deep-seated belief that "they don't want to hear from me." This revelation comes just before his crucial trip to Washington D.C. with Daisy Thomas, where they will meet with Congressional and Senate staff to shape AI policy. To ensure they bring real-world context to the Capitol, Kyle issues an urgent request to the AI Salon community to share detailed stories of how AI has transformed their lives.
To overcome his long-standing mental block, Kyle receives practical instruction from Andy on how to schedule social media posts—a simple task he previously avoided. The session quickly pivots into a practical demonstration of using ChatGPT to draft effective, multi-platform content and Midjourney to generate compelling visuals for the D.C. fly-in. Kyle emphasizes that the community's support is essential for bringing a human-centric, positive perspective on AI readiness to the legislative conversation.
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#AIPolicy,#AISalon,#MightyNetworks,#KyleShannon,#ContentStrategy,#PersonalGrowth,#Midjourney,#OpenSourceAI
Chapters:
00:00:00 Opening Introductions
00:01:26 Musical Performance
00:02:57 Personal Revelation
00:03:30 Upcoming DC Trip
00:05:04 Overcoming Self-Doubt
00:06:49 Andee Joins Stream
00:07:07 Learning to Schedule
00:08:28 Requesting AI Stories
00:09:05 Community Platform Tips
00:15:38 Scheduling Posts Demo
00:17:43 Pervasive Outreach Issue
00:21:32 Wired Magazine Gift
00:25:28 Building Local AI
00:27:17 Open Source Tools
00:29:36 Writing DC Trip Posts
00:37:37 Times Square Snow Story
00:40:04 Reviewing Generated Content
00:46:08 Midjourney Image Generation
00:50:56 Voice Clone Rerecording
00:54:09 Digital Twin Skills
01:00:58 Refining Image Prompts
01:11:55 Upscaling Midjourney Images
01:17:06 Creating Scheduled Articles
01:28:26 Scheduling Technical Issues
01:40:21 Mastering Article Workflow
01:51:38 Final Self-Reflection
01:55:09 Importance of Policy
01:56:27 Closing and Next Events