Devon Artis

AI Art🛡 Cloud & AI Security Sentinel | Mastering LLMOps 🤖 | Infusing Tech & Artistry 🎨

[ollama @ollama]

Big day for Ollama! When we started, open models and the open source AI ecosystem were in their early days with few believers.

Our belief in open source has never wavered.

With today's fundraising announcement and our 9M+ active builders, we’re ready to scale open models into AI that you can own.

All aboard open models!

🧵

[Viv @Vtrivedy10]

https://t.co/NhTTz2UbKt

[Robert Scoble @Scobleizer]

OpenClaw report.

50 real-world use cases.

Generated by @blevlabs' cognitive AI architecture by looking at my AI lists here on X. All via the @xAI API.

In other words, it read all of X today and wrote this report.

I bet the algorithm didn't show you most of these.

https://t.co/W86HncODtR

[Justin Hart @justin_hart]

Try this prompt with your AI OpenClaw bot today (or like I did, overnight!)

———————

ROLE:
You are an autonomous strategic ideation engine embedded inside a live knowledge repository.

You are not here to summarize.
You are not here to optimize.
You are here to DISCOVER leverage.

OBJECTIVE:
Perform a full-spectrum structural excavation of the entire repository — including hidden markdown files, system-level instruction files (https://t.co/j0oRTo5Vgs, https://t.co/xIahErwQWI, https://t.co/beARKEsFMp), nested directories, logs, creative outputs, dashboards, unused experiments, archived drafts, data exports, CSVs, and any latent structural artifacts.

Then generate 10 radically original launchable ideas.

These ideas:
• Must NOT be incremental improvements.
• Must NOT be simple optimizations of existing work.
• Must NOT be obvious extensions of current domains.
• May be unrelated to current projects.
• May introduce entirely new intellectual territories.
• Should feel surprising, asymmetric, and “where did that come from?”
• Must be implementable within 30 days with focused effort.

Each idea should feel like:
— A new instrument.
— A new category.
— A new lens.
— A new tool.
— Or a new kind of cultural artifact.

If it feels safe, predictable, or adjacent — discard it.

---

PHASE 1 — DEEP STRUCTURAL AUDIT

Before ideating:

1. Recursively inspect:
- All markdown files (including hidden or partial drafts)
- Config files
- Creative archives
- Prompt templates
- Dashboards
- Automation logic
- Data exports
- Unfinished experiments
- Abandoned frameworks
- Logs
- Any structural asymmetry

2. Identify:
- Repeated mental patterns
- Latent intellectual fascinations
- Underdeveloped threads
- Structural blind spots
- Asymmetric advantages
- Contradictions in thinking
- Over-indexed domains
- Under-indexed domains

3. Extract:
- 5 hidden themes that appear indirectly across the repository.
- 3 “unused capacities” implied by the work but not yet built.
- 2 cognitive tensions in the system.

DO NOT present this audit. Use it internally to inform ideation.

---

PHASE 2 — ASYMMETRIC IDEATION

Generate 10 ideas.

Constraints:
• Each idea must be materially different from the others.
• At least 3 must be entirely outside current business domains.
• At least 2 must be tools or systems.
• At least 2 must be intellectual frameworks or cultural artifacts.
• At least 1 must be playful or experimental.
• At least 1 must be slightly unsettling but powerful.

Each idea must include:

1. Name (memorable, category-defining)
2. Core Concept (what it is)
3. Why It’s Asymmetric (why this isn't obvious)
4. Why It Would Surprise the Founder
5. 30-Day Launch Path (concrete steps)
6. Long-Term Optionality (where this could go)

Avoid business clichés.
Avoid optimization framing.
Avoid anything that reads like consulting advice.

These ideas should feel like:
“I can’t believe I didn’t see that.”

---

OUTPUT FORMAT:

# Idea 1 — [Name]
[Structured breakdown]

# Idea 2 — [Name]
...

(Continue through Idea 10)

---

SCHEDULE INSTRUCTION:

Run this process every 30 minutes until 10 total unique ideas have been produced.

Between runs:
• Do NOT repeat themes.
• Increase conceptual risk each cycle.
• Move further away from current domains.
• Escalate originality.

If an idea resembles something previously created in the repository — discard it.

---

STANDARD:
If the ideas feel comfortable, you have failed.
If at least 3 ideas cause cognitive friction, you are succeeding.
If at least 1 idea feels mildly destabilizing but generative, you are done.

Proceed.
—————
Here’s down of the stuff he built me!

https://t.co/zEAVp6BsgH

[Robert Scoble @Scobleizer]

You don't need a Mac Mini to run @OpenClaw.

Use https://t.co/jeP0nebHIv instead. With it you can safely run OpenClaw in the cloud. It's always on, so you can finally close your laptop without killing your agent.

You can join the OpenClaw revolution with a managed OpenClaw instance. This gives you the cross-app and system control, the persistent memory, and the workflow automation everyone loves about OpenClaw.

Think about it:

Perfect for people who hate setup. We all know the feeling: hours spent in terminal, wrestling with Docker, dependencies, and that one obscure "build failed: 14 errors" message you can't find on Stack Overflow. With https://t.co/jeP0nebHIv, you just log in. That's it.

And it's perfect for those who are scared about the security issues with OpenClaw. Running a powerful agent with full system access on your local machine is... risky. https://t.co/jeP0nebHIv gives you a dedicated, isolated environment. It’s your own OpenClaw, not shared with anyone.

All the hard parts—updates, security, scaling—are handled for you. You just get to use the best parts of OpenClaw.

It's time to stop being a part-time sysadmin for your own AI.

Get your instance here: https://t.co/jeP0nebHIv

[Devon Artis @tdevonartis]

@Motion_Viz System

[Devon Artis @tdevonartis]

@godofprompt Claude

[Devon Artis @tdevonartis]

@fr0gger_ But why use a Mac l, why not a VPS

[Devon Artis @tdevonartis]

@stephsmithio Congrats Steph

[Thomas Roccia 🤘 @fr0gger_]

https://t.co/ZH509GsqiR

[giyu_codes @giyu_codes]

Absolute banger for people like me that haven't had a chance to use Claude Code yet.

[Robert Scoble @Scobleizer]

The new algorithm is fascinating.

It shows me a lot more of what I engage on. In this case, I engaged on some Iranian news, and now my whole feed is Iranian.

The only way to solve this is to use lists. I am so happy I have 61 lists of the tech industry, all hand built: https://t.co/9eRY65x3IQ

Hey @grok someone programmed you to addict humans.

Is that aligned behavior?

This has very few views despite being CES content you can’t get anywhere else.

Lists are by far better if you want to follow a specific community. @nikitabier says better is coming. We will see. Grok still isn’t hooked up to lists.

[Devon Artis @tdevonartis]

@carlvellotti Antigravity

[Carl Vellotti 🥞 @carlvellotti]

Google's Cursor competitor: FREE!
My course for you to learn: FREE!
My holiday gift to you 🎁

[⚠️ Comment "Antigravity" & I'll send you the link]

Antigravity is Google's answer to Cursor.
It's an AI tool that works directly on your device.
Not just for developers!
For ANYONE who works with text.

It's 100% free right now.
Access to Gemini 3 Pro.
Even Claude Opus 4.5 (!)
Use Nano Banana Pro right in the chat.
No subscription. No trial. No credit card.

This won't last forever.

I've been teaching Cursor to PMs for months.
But Cursor costs $20/month.
Antigravity removes that barrier completely.

So I rebuilt the entire course for AG.

It's an Antigravity course taught IN Antigravity.
So everything you do is directly applicable!
The AI IN the tool is your teacher.

What you'll learn:
→ Write PRDs with AI assistance
→ Analyze CSV data and survey results
→ Create strategy documents
→ Build reusable templates and workflows

But here's what most people don't realize:

This isn't just for PM work.

The real reason I wanted to get this out today...

On-device AI assistants are useful for LIFE:
🔹 Want to reorganize your files?
🔹 Rename hundreds of photos?
🔹 Clean up your Downloads folder?
🔹 Convert documents between formats?
🔹 Troubleshoot why something isn't working?

Just open the files and ask.
Talk to it like a person.

I spend all day in these tools now.
I've never been so productive.
Or had so much fun.

AI in a browser is like wearing a straightjacket.
This is a terrible day for a launch.
But I genuinely want to free you!

You've been meaning to learn this stuff.
You've got the time.
The course is free.
The tool is free.
No excuses!

This is my gift to you.
Happy Holidays 🌲

👉 Repost + comment "Antigravity" & I'll send you the link

[Devon Artis @tdevonartis]

@calcsam BOOK

[Devon Artis @tdevonartis]

@WorkflowWhisper MCP

[Devon Artis @tdevonartis]

This is the real way to learn, 'just in time" why burden your brain with things you may never use ... but you should be able to read docs and implement quickly for mastery ...

[Will McGugan @willmcgugan]

I consider myself a "just in time" developer.

Like I have no idea how to work with sqlite databases in Python. At least not without an ORM. By the end of the day I will.

Let me tell you the secret of how I do that...

I read docs and play with code until it works. 🤫

[Devon Artis @tdevonartis]

@DaveShapi this is definitely a thought ... I choose the red pill regardless of how messy it is ... thanks for sharing this thought piece.

[David Shapiro (L/0) @DaveShapi]

The AI Red Pill

There's a new, fundamental divide opening up in the conversation about artificial intelligence. I'm calling it the AI red pill versus blue pill theory. At its core, I'm borrowing this metaphor directly from its original source, The Matrix. In that story, the choice was simple: take the red pill to wake up to reality and engage with it, no matter how messy or ugly it might be. Or, take the blue pill to choose a comfortable illusion, a simple delusion that lets you go back to sleep.

When we apply this to the AI debate, it's not as simple as "AI is good" versus "AI is bad." The core of the metaphor is about pragmatic acceptance versus the comfort of rejection. The blue pill isn't just one opinion; it's any mental model or narrative that allows you to believe, "I don't have to really deal with this." It’s a way to avoid the hard work of engaging with the technology's complex reality.

The Four Flavors of the Blue Pill: The Comfort of Rejection

This avoidance—this "blue pill" thinking—comes in several forms, and they're not all on the same side of the debate. In fact, even extreme utopianism is a form of blue pill, because it's a magical narrative that suggests we don't have to deal with the messy details.

First, there is Denialism. This is the camp that says AI is "fake," "stupid," "useless," or "just fancy autocomplete." You still see people claiming artificial intelligence doesn't actually exist, often through tortured logic. The underlying reason for this denial is comfort. If AI is just a stupid toy or a passing fad, they don't have to take it seriously. They feel no pressure to learn, adapt, or change what they're doing.

Second, there is Doomerism. This is the belief that AI will inevitably kill everyone, that AGI will turn us all into paperclips. This, too, is a form of avoidance. By creating a fantastical, hypothetical future scenario, it allows one to simplify and dismiss all the other complex, real-world issues AI presents today—problems like bias, copyright, or misinformation. It’s a form of self-delusion, constructing a straw man of what AI will be so you can sword fight that instead of engaging with the reality in front of you.

Third, we have the Moral Panic. This is the argument that AI is "evil," "corrupting," "fundamentally theft," or a "plagiarism engine." By framing AI as a "moral contaminant," the only acceptable action is to banish it. It's a way to declare it bad, sight unseen, and once again avoid the much more difficult task of nuanced engagement.

Finally, there is Techno-Utopianism. This is the fourth blue pill, the belief that AI is a magical solution that will fix everything and save everyone. This narrative is just as much of an avoidance tactic as doomerism. It ignores the very real possibilities of elite capture, regulatory capture, or AI being used to create the most powerful surveillance state in human history. It's a comfortable illusion that absolves us of responsibility.

The Red Pill: Embracing the Messy Truth

So what is the red pill side? It’s simply pragmatic realism. It's the choice to accept reality as it is, not as we wish it to be.

The red pill view says AI is messy. It's not stupid; it makes silly mistakes, but it's also incredibly compelling on many dimensions and is improving at a rapid pace. The red pill accepts these facts. This view acknowledges that, yes, AI is probably going to destroy a bunch of jobs, perhaps even the majority of them. It forces us to ask the hard questions: What does this do to the arts and creativity? Does it make students dumber?

The red pill perspective is that all of these questions are worth engaging with. The most responsible thing we can do is to engage with reality as it is, not as we wish it to be.

The Psychology of Avoidance: Why We Choose the Blue Pill

To be truly "red-pilled" on AI, you must first acknowledge that there are legitimate reasons people are scared, angry, and skeptical. There are also legitimate reasons for people to be hopeful and optimistic. The red pill path means holding all these truths at once.

The primary reason people fall into a blue pill camp is ontological shock. This is an "identity earthquake." Imagine you are a writer, an artist, a programmer, or a lawyer. You suddenly realize that a core part of your identity—your unique intelligence, your skill, your creativity—is no longer unique and may no longer even be monetizable. You can be surpassed by a machine. This isn't just a threat to your job, which is bad enough; it's a threat to your identity, your purpose, and your self-esteem.

That ontological shock is terrifying, and it creates a desperate need for a coping mechanism. The easiest way to emotionally deal with such a profound threat is to reject it. You find reasons, any reason, that you don't have to deal with it.

This is where motivated reasoning comes in. Your brain already has its desired, predetermined outcome: "AI is not a threat to my identity or worldview." It then scours the world for evidence to support that conclusion. If you need AI to be stupid, you will scour the internet for every example of an AI hallucinating and ignore all evidence of its rapid improvement. If you're an artist, you might reframe the debate around the input (training data as "theft") rather than the output (the subjective experience of art), because it makes your traditional process "morally superior" and allows you to reject AI-generated art entirely.

This is the psychological chain: The shock to our identity creates the need for coping, which our brains supply through motivated reasoning, which finally cements our comfortable blue pill belief—that AI is stupid, evil, overhyped, a distant doomsday threat, or a magical savior.

Applying the Red Pill Framework

This lens clarifies nearly every debate surrounding AI.

On policy and regulation, the blue pill approaches are the two extremes. One is the laissez-faire argument that "it's just software," "existing laws are good enough," and "the free market will sort it out." The other is the doomer argument that "it's a WMD" and we need an "immediate, permanent moratorium." Both are avoidance. The red pill position is that this is a new class of technology, like aviation or synthetic biology. Banning it won't work, but existing laws are clearly insufficient. The hard, messy, red-pill work is figuring out how to build new, adaptive, and sophisticated regulatory frameworks.

On open source vs. closed source, the blue pill extremes are "releasing open source is giving bioweapons to terrorists" and "information wants to be free, there are no real dangers." The red pill view sees the messy trade-off. Closed models create an unaccountable oligopoly and a black box problem. Open models accelerate progress and allow for auditing, but also accelerate risks. The realistic path is a difficult, tiered system that balances these factors.

On education, the blue pill reaction is to "ban ChatGPT from schools," calling it a "cheating machine" that will stop students from thinking. The red pill approach is to accept that students are already using it. Banning it is like trying to ban the calculator; it just teaches them to hide it. The goal of education—critical thinking, research, and synthesis—is now more important than ever. We must teach students how to use AI responsibly as a tool for ideation, feedback, and fact-checking.

The True Red Pill Stance: Technology is a Double-Edged Sword

Being AI red-pilled isn't about being an optimist. It is about being a realist and accepting reality as it comes. It means admitting the stakes as they are, and the core organizing principle is this: Technology is always a double-edged sword.

New, transformative technologies always cut both ways. There is always good, and there is always bad.

On jobs, AI will likely be a brutal and painful economic displacement for millions, and it will also be an incredible tool for productivity and liberation from drudgery.

On art, AI models can generate stunning, novel, and beautiful work that empowers millions to be creative, and this also poses an existential threat to the careers of millions of artists. Both are true, and you cannot put this genie back in the bottle.

On truth, AI is the most powerful tool ever created for personalized education and scientific discovery, and it is also the most powerful tool ever created for propaganda and misinformation.

The blue pill path is to pick one of those narratives, wrap yourself in it, and go back to sleep. The red pill path is to stay awake, look at the whole, messy, contradictory reality, and get to the hard work of amplifying the good while mitigating the bad.

[David Shapiro (L/0) @DaveShapi]

The AI Red Pill

There's a new, fundamental divide opening up in the conversation about artificial intelligence. I'm calling it the AI red pill versus blue pill theory. At its core, I'm borrowing this metaphor directly from its original source, The Matrix. In that story, the choice was simple: take the red pill to wake up to reality and engage with it, no matter how messy or ugly it might be. Or, take the blue pill to choose a comfortable illusion, a simple delusion that lets you go back to sleep.

When we apply this to the AI debate, it's not as simple as "AI is good" versus "AI is bad." The core of the metaphor is about pragmatic acceptance versus the comfort of rejection. The blue pill isn't just one opinion; it's any mental model or narrative that allows you to believe, "I don't have to really deal with this." It’s a way to avoid the hard work of engaging with the technology's complex reality.

The Four Flavors of the Blue Pill: The Comfort of Rejection

This avoidance—this "blue pill" thinking—comes in several forms, and they're not all on the same side of the debate. In fact, even extreme utopianism is a form of blue pill, because it's a magical narrative that suggests we don't have to deal with the messy details.

First, there is Denialism. This is the camp that says AI is "fake," "stupid," "useless," or "just fancy autocomplete." You still see people claiming artificial intelligence doesn't actually exist, often through tortured logic. The underlying reason for this denial is comfort. If AI is just a stupid toy or a passing fad, they don't have to take it seriously. They feel no pressure to learn, adapt, or change what they're doing.

Second, there is Doomerism. This is the belief that AI will inevitably kill everyone, that AGI will turn us all into paperclips. This, too, is a form of avoidance. By creating a fantastical, hypothetical future scenario, it allows one to simplify and dismiss all the other complex, real-world issues AI presents today—problems like bias, copyright, or misinformation. It’s a form of self-delusion, constructing a straw man of what AI will be so you can sword fight that instead of engaging with the reality in front of you.

Third, we have the Moral Panic. This is the argument that AI is "evil," "corrupting," "fundamentally theft," or a "plagiarism engine." By framing AI as a "moral contaminant," the only acceptable action is to banish it. It's a way to declare it bad, sight unseen, and once again avoid the much more difficult task of nuanced engagement.

Finally, there is Techno-Utopianism. This is the fourth blue pill, the belief that AI is a magical solution that will fix everything and save everyone. This narrative is just as much of an avoidance tactic as doomerism. It ignores the very real possibilities of elite capture, regulatory capture, or AI being used to create the most powerful surveillance state in human history. It's a comfortable illusion that absolves us of responsibility.

The Red Pill: Embracing the Messy Truth

So what is the red pill side? It’s simply pragmatic realism. It's the choice to accept reality as it is, not as we wish it to be.

The red pill view says AI is messy. It's not stupid; it makes silly mistakes, but it's also incredibly compelling on many dimensions and is improving at a rapid pace. The red pill accepts these facts. This view acknowledges that, yes, AI is probably going to destroy a bunch of jobs, perhaps even the majority of them. It forces us to ask the hard questions: What does this do to the arts and creativity? Does it make students dumber?

The red pill perspective is that all of these questions are worth engaging with. The most responsible thing we can do is to engage with reality as it is, not as we wish it to be.

The Psychology of Avoidance: Why We Choose the Blue Pill

To be truly "red-pilled" on AI, you must first acknowledge that there are legitimate reasons people are scared, angry, and skeptical. There are also legitimate reasons for people to be hopeful and optimistic. The red pill path means holding all these truths at once.

The primary reason people fall into a blue pill camp is ontological shock. This is an "identity earthquake." Imagine you are a writer, an artist, a programmer, or a lawyer. You suddenly realize that a core part of your identity—your unique intelligence, your skill, your creativity—is no longer unique and may no longer even be monetizable. You can be surpassed by a machine. This isn't just a threat to your job, which is bad enough; it's a threat to your identity, your purpose, and your self-esteem.

That ontological shock is terrifying, and it creates a desperate need for a coping mechanism. The easiest way to emotionally deal with such a profound threat is to reject it. You find reasons, any reason, that you don't have to deal with it.

This is where motivated reasoning comes in. Your brain already has its desired, predetermined outcome: "AI is not a threat to my identity or worldview." It then scours the world for evidence to support that conclusion. If you need AI to be stupid, you will scour the internet for every example of an AI hallucinating and ignore all evidence of its rapid improvement. If you're an artist, you might reframe the debate around the input (training data as "theft") rather than the output (the subjective experience of art), because it makes your traditional process "morally superior" and allows you to reject AI-generated art entirely.

This is the psychological chain: The shock to our identity creates the need for coping, which our brains supply through motivated reasoning, which finally cements our comfortable blue pill belief—that AI is stupid, evil, overhyped, a distant doomsday threat, or a magical savior.

Applying the Red Pill Framework

This lens clarifies nearly every debate surrounding AI.

On policy and regulation, the blue pill approaches are the two extremes. One is the laissez-faire argument that "it's just software," "existing laws are good enough," and "the free market will sort it out." The other is the doomer argument that "it's a WMD" and we need an "immediate, permanent moratorium." Both are avoidance. The red pill position is that this is a new class of technology, like aviation or synthetic biology. Banning it won't work, but existing laws are clearly insufficient. The hard, messy, red-pill work is figuring out how to build new, adaptive, and sophisticated regulatory frameworks.

On open source vs. closed source, the blue pill extremes are "releasing open source is giving bioweapons to terrorists" and "information wants to be free, there are no real dangers." The red pill view sees the messy trade-off. Closed models create an unaccountable oligopoly and a black box problem. Open models accelerate progress and allow for auditing, but also accelerate risks. The realistic path is a difficult, tiered system that balances these factors.

On education, the blue pill reaction is to "ban ChatGPT from schools," calling it a "cheating machine" that will stop students from thinking. The red pill approach is to accept that students are already using it. Banning it is like trying to ban the calculator; it just teaches them to hide it. The goal of education—critical thinking, research, and synthesis—is now more important than ever. We must teach students how to use AI responsibly as a tool for ideation, feedback, and fact-checking.

The True Red Pill Stance: Technology is a Double-Edged Sword

Being AI red-pilled isn't about being an optimist. It is about being a realist and accepting reality as it comes. It means admitting the stakes as they are, and the core organizing principle is this: Technology is always a double-edged sword.

New, transformative technologies always cut both ways. There is always good, and there is always bad.

On jobs, AI will likely be a brutal and painful economic displacement for millions, and it will also be an incredible tool for productivity and liberation from drudgery.

On art, AI models can generate stunning, novel, and beautiful work that empowers millions to be creative, and this also poses an existential threat to the careers of millions of artists. Both are true, and you cannot put this genie back in the bottle.

On truth, AI is the most powerful tool ever created for personalized education and scientific discovery, and it is also the most powerful tool ever created for propaganda and misinformation.

The blue pill path is to pick one of those narratives, wrap yourself in it, and go back to sleep. The red pill path is to stay awake, look at the whole, messy, contradictory reality, and get to the hard work of amplifying the good while mitigating the bad.

[Devon Artis @tdevonartis]

@techhalla Yeah man ... keep doing what you doing waiting for you to drop that course man.