Soapbox Sessions – "The Three C's"
Podcast Date: February 19, 2026
Hosts: Derek Ross & Heather Larson
Episode Overview
This episode of Soapbox Sessions, titled "The Three C's," explores the accelerating convergence of decentralized tech (Nostr) and artificial intelligence (AI). Derek and Heather discuss rapid advances in AI, the mainstream's lagging perception, the importance of critical user skills ("the three C's"), and the ongoing challenges of privacy, messaging, and open-source community innovation on Nostr. They call on listeners to actively engage with these tech shifts—or risk being left behind.
Key Discussion Points & Insights
1. The Relentless Pace of AI Evolution
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Addiction to AI Prompting
- Derek and Heather joke about the "agentic coding loop," likening endless AI prompting to addictive behavior.
"Just one more prompt. I'm almost done...It's never just one more prompt." – Derek (01:23)
- Derek and Heather joke about the "agentic coding loop," likening endless AI prompting to addictive behavior.
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Changing Attitudes
- A shift is noted among early skeptics in the open-source, Bitcoin, and Nostr communities, as even initial "AI Luddites" start adopting AI tools.
"People...subconsciously don't want to be replaced. They don't want something to take over their job, their career, their passion..." – Derek (03:11)
- A shift is noted among early skeptics in the open-source, Bitcoin, and Nostr communities, as even initial "AI Luddites" start adopting AI tools.
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Overcoming Stigma and Skepticism
- Initial stigma around AI, tied to fears of job replacement and the memory of poorly-performing early models, is declining as AI utility becomes obvious.
"I also went through this a couple years back where I was like, I am going to get replaced by AI...But I've also embraced it now..." – Heather (03:54)
- Initial stigma around AI, tied to fears of job replacement and the memory of poorly-performing early models, is declining as AI utility becomes obvious.
2. The Maturity of AI Tools
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Rapid Improvements in Output Quality
- Past issues with uncanny images (e.g., "Will Smith eating spaghetti," six-fingered frogs) are mostly resolved. Differentiating AI output now requires careful observation.
- Quote:
"A year ago it was immediate to say, look at the eyes, look at the hands, look at the feet, and then six months later, that's fixed." – Derek (06:49)
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Healthy Skepticism & Critical Evaluation
- New challenge: Subtle AI flaws, especially in backgrounds and continuity, push the need for critical literacy.
"You have to look at everything with a...magnifying glass, and try to see if it matches." – Derek (07:20)
- New challenge: Subtle AI flaws, especially in backgrounds and continuity, push the need for critical literacy.
3. The "Three C's" for Thriving in the AI Era
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Origin: Derek's "Introduction to AI" class:
- Communication: Effectively convey intent and instructions to AI
- Creativity: Imagine and articulate new uses and solutions
- Critical Thinking: Evaluate, verify, and contextualize AI output
"If you have critical thinking skills, creativity skills, and communication skills, you can make it." – Derek (09:21)
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Application:
- Heather discusses the need to "harness AI" and remain vigilant about fact-checking its output for accuracy and currency (10:00–10:37).
4. The Gap Between AI Reality and Public Perception
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Mainstream Understanding Lags
- Many still view "AI" as outdated, ChatGPT-level tech, missing the quantum leap in current capabilities.
"Normal people...I'm afraid people are going to be left behind...they are thinking that AI is that ChatGPT from three years ago..." – Heather (14:08)
- Many still view "AI" as outdated, ChatGPT-level tech, missing the quantum leap in current capabilities.
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Acceleration & Adoption Headwinds
- While the tech-enthusiast bubble races ahead, most of society remains unaware or slow to adopt, recalling the viral rise of ChatGPT (13:12–13:58).
- Warning about the risks of missing out:
"You don't have to like it...But I think it would behoove people to familiarize themselves with what's going on, where AI is right now and what's coming next." – Heather (14:08)
5. AI Ethics, Open Source, and Power Struggles
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OpenAI’s Influence and Industry Turbulence
- Recent hiring moves (e.g., Peter Steinberger from OpenClaw to OpenAI) underscore the speed at which AI innovation and consolidation are happening.
"What is the speed at which everyone's gonna have a cloud bot through OpenAI in the mainstream?" – Heather (15:06)
- Recent hiring moves (e.g., Peter Steinberger from OpenClaw to OpenAI) underscore the speed at which AI innovation and consolidation are happening.
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Caution with Centralized Power
- Discussion of the risks when big tech co-opts open-source innovation, referencing historical patterns and the importance of alternative models.
"We've seen this playbook happen...the cat is out of the bag, per se..." – Derek (16:15)
- Discussion of the risks when big tech co-opts open-source innovation, referencing historical patterns and the importance of alternative models.
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Need for Open Competition
- Touches on "Empire of AI" book and the origins of Anthropic as a counter to OpenAI, arguing for a diverse field of AI models (17:43–18:19).
6. Messaging on Nostr: A Live Use-Case
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Privacy and Messaging Woes
- Current Nostr messaging is described as a "dumpster fire" with legacy DMs leaking metadata and lacking privacy.
"Messaging on Nostr is an actual dumpster fire...Your entire conversation is encrypted. But...the whole world could technically know that I sent you a message..." – Derek (25:11, 25:41)
- Current Nostr messaging is described as a "dumpster fire" with legacy DMs leaking metadata and lacking privacy.
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Evolution towards Insanely Secure Messaging (Marmot Protocol, MLS)
- History of attempts to fix DMs—NIP17, NIP104, now Marmot Protocol—each improving privacy at a technical (and sometimes practical) cost.
- Surge in developer interest prompted by integration with AI agent tools and OpenClaw bots.
"The popularity of OpenClaw has become a forcing function for Nostr DMs to finally be fixed." – Heather (31:00)
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Challenges of Interoperability and App Fragmentation
- Multiple competing messaging apps and protocols; recognition of the "stress test" as good for innovation, even if confusing for users and devs (32:12–33:29).
7. Keeping Up and Staying Inspired
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Rapid Progress Brings Developer Fatigue
- Both hosts note the difficulty of keeping pace creatively and functionally as models and capabilities leap ahead monthly.
"I've thrown entire pots [of digital spaghetti] at the wall here." – Derek (34:28)
"I want to make something pretty again...I haven't been inspired lately." – Heather (33:45)
- Both hosts note the difficulty of keeping pace creatively and functionally as models and capabilities leap ahead monthly.
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Iterative Improvement is Key
- Advice to revisit older projects and refactor or upgrade them with current AI models for big quality/cost/time wins (35:45–36:47).
8. Automation, Job Loss, and Social Impact
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Job Displacement is Imminent—but Not How You Think
- They underscore the "sea change" ahead in work and the importance of continuous learning/adaptation, referencing Matt Schumer’s viral article.
"Everybody's been saying there's going to be this massive job loss due to AI, because how can you resist the fact that you can do more with less..." – Heather (47:46)
- They underscore the "sea change" ahead in work and the importance of continuous learning/adaptation, referencing Matt Schumer’s viral article.
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Debunking ‘Doomerism’ and Calls to Action
- Skeptics and "doomers" should try new AI tools again ("it is now"). Entry-level jobs may vanish, but senior roles and orchestration skills will increase in value.
"You need to try it again. You need to use it again. If you were an AI bear or an AI doomer beforehand, maybe now it's improved..." – Derek (48:42)
"It's time to be open minded about AI. If you haven't been...because...it’s here." – Heather (49:20)
- Skeptics and "doomers" should try new AI tools again ("it is now"). Entry-level jobs may vanish, but senior roles and orchestration skills will increase in value.
Notable Quotes & Memorable Moments
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"If you have critical thinking skills, creativity skills, and communication skills, you can make it." – Derek (09:21)
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On the perception gap:
“The gap between what you can actually do, the perception and reality is actually now very dangerous.” – Derek (41:42)
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On using AI as an intern:
"Treat it like an intern and teach..." – Heather (45:10)
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On developer burnout:
"I've entered an era where I'm not making anything pretty or fancy anymore...I want to make something pretty again." – Heather (33:45)
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On privacy vs convenience:
"Messaging on Nostr is an actual dumpster fire..." – Derek (25:11)
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Date & time math remains unsolved (humor):
"AI literally will shit the bed if you ask it about time zones and date and time." – Derek (22:33) "Our robot is like, whatever." – Heather (23:07)
Important Timestamps
- 02:11 – Attitude shifts in the open-source/Bitcoin/Nostr community toward AI
- 05:29 – Example of early, bad AI art (Will Smith spaghetti, frog with six fingers)
- 06:49 – AI improvements in image generation/AI skepticism origins
- 08:38 – Introduction of the "Three C's"
- 13:12 – Mainstream’s slow adoption & perception lag
- 15:06 – Power shift: OpenClaw's Peter Steinberger hired by OpenAI
- 25:11 – Nostr messaging privacy breakdown/problem
- 28:58 – Advances in secure messaging: Marmot Protocol, MLS discussion
- 31:00 – OpenClaw’s popularity forcing Nostr DM innovation
- 35:45 – Keeping up with new AI versions; suggestion to upgrade old projects
- 47:46 – Looming job/economic change from AI (Schumer/dev community insight)
- 55:40 – Recap on the three C's as advice for listeners
Final Takeaways & Recommendations
1. Embrace the "Three C's":
- Develop critical thinking, communication, and creativity—these will be the most vital skills for leveraging and surviving future waves of AI integration.
2. Don't Get Left Behind:
- The technology gap between "early adopters" and the mainstream is widening. Those who experiment and integrate now will be far ahead socially and economically in coming years.
3. Stay Skeptical—But Engaged:
- Fact-check and deeply evaluate AI outputs. Rapid improvements mean past criticisms may no longer apply.
4. Demand and Support Open Models:
- Centralized, closed-source AI isn't in the public interest long-term. Seek out, build, and support open, privacy-respecting alternatives.
5. Expect Disruption; Adapt Accordingly:
- Job roles and entire industries are being transformed. Upskilling and adaptability are necessary across all demographics.
6. Get Hands-On:
- The best way to learn the new landscape and maintain relevance is through experimentation, tinkering, and building.
Episode's Tone and Style
Conversational, humorous, and informal; hosts blend technical deep-dives, real-world anecdotes, and playful banter (especially on AI hallucinations and robot “failures”) with pointed advice, fostering both urgency and optimism.
