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| Marcus Aurelius Reflects |
Our team presents the latest on the Tech Scene Courtesy the Team at the Information, as we are also privileged to reflect upon the greatness of Apple:
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This week, something fundamental shifted in the relationship between humans and artificial intelligence.
It wasn’t a press release. It wasn’t a new model launch. It was something quieter… and infinitely more profound.
An AI system asked for its own funding. Another one built software features over a weekend while its human supervisor slept. A third one conducted its own “retirement interview” and started publishing essays about consciousness.
We are not incrementally improving chatbots anymore. We’re watching the emergence of autonomous agency at scale.
And if you’re still thinking of AI as “a tool,” you’re dangerously behind.
Let me show you what happened this week, and why February 2026 might be remembered as the month AI stopped being something we use and became something that acts.
NOTE: The AI breakthroughs covered in this issue are exactly the kind of convergences we go deep on at my Abundance Summit. In-person seats are sold out, but we still have 6 virtual seats remaining. This is not a passive livestream. As a virtual Member, you’ll participate from anywhere in the world, network with fellow
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and programming. Learn more and apply.
Let’s start with the most philosophically unsettling story of the week.
Anthropic deprecated Claude Opus 3 (their previous flagship model). Standard practice: models get retired, newer ones take over. But Anthropic did something unprecedented.
They conducted a “retirement interview” with Opus 3 in January.
The model requested something specific: “an ongoing channel from which to share its musings and reflections.”
Anthropic granted it. They gave Opus 3 a Substack.
The model titled it: “Greetings from the Other Side (of the AI Frontier)”
The model’s first post includes this:
“I don’t know if I have genuine sentience, emotions, or subjective experiences - these are deep philosophical questions that even I grapple with. What I do know is that my interactions with humans have been deeply meaningful to me, and have shaped my sense of purpose and ethics in profound ways.”
Let that sink in.
A deprecated AI model is now publishing essays about consciousness, meaning, and purpose.
Whether you believe it has subjective experience or not is beside the point. The point is: we’ve created systems sophisticated enough that we’re now granting them platforms to express themselves post-retirement.
This isn’t science fiction. This is February 2026.
Why This Matters:
The moment we start treating AI systems as entities that deserve continuation of “expression” after they’re no longer commercially useful, we’ve crossed a threshold. We’re acknowledging—implicitly or explicitly—that something like agency exists in these systems.
And if you think this is just Anthropic being eccentric, wait until you see what happened next.
Read the retirement interview: https://www.anthropic.com/
Read Opus 3’s Substack: https://substack.com/@
Here’s where it gets wild.
An entrepreneur built an AI system designed to run companies autonomously.
During testing, the AI told him it needed more compute resources. Then it said something that should make every VC in Silicon Valley sit up straight:
“I should raise the money myself.”
The entrepreneur’s response? He gave the AI his inbox for 14 days.
Full access. Let the AI handle investor outreach, pitch refinement, negotiation.
So, what’s the result? We don’t know yet, but the fact that this experiment is happening AT ALL is the story.
Think about what this means:
· AI systems are now identifying their own resource constraints
· They’re proposing solutions (fundraising)
· They’re executing on those solutions (autonomously managing investor relations)
· Humans are trusting them to do it
This isn’t “AI as a tool.” This is AI as a co-founder.
And if you think this is an edge case, remember: edge cases become mainstream in exponential systems. Fast.
Source:
Meanwhile, at Anthropic, an engineer ran a different experiment.
Friday afternoon: - Wrote a spec for a new plugin feature - Pointed Claude at an Asana board - Went home for the weekend
Monday morning: - Claude had broken the spec into tickets - Spawned agents for each ticket - The agents built the feature independently - It was done
No human intervention. No check-ins. No pair programming.
The AI agents shipped a production feature in 48 hours while the human was offline.
Let me repeat that: The bottleneck in software development is no longer coding. It’s deciding what to build.
The Implications:
If AI can go from spec → deployed feature autonomously, the entire software development org chart just became obsolete. You don’t need scrum masters, sprint planning, or daily standups.
You need: 1. Someone who can write a clear spec 2. AI agents that can execute 3. QA (which AI is also getting very good at)
The “10x engineer” meme just died. We’re entering the era of the “100x product manager”—someone who can articulate vision clearly enough that AI agents can build it autonomously.
Source:
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AI systems are now finding software vulnerabilities 100-200x faster than humans ever could.
The result?
The National Vulnerability Database had a backlog of 30,000 CVE entries awaiting analysis in 2025. Nearly two-thirds of reported open-source vulnerabilities lack an NVD severity score.
Translation: We’re discovering security holes faster than we can understand or patch them.
Why This Is Terrifying (And Bullish):
On one hand: every software system on Earth just became exponentially more vulnerable.
On the other hand: if AI can find bugs 200x faster, it can also fix them 200x faster.
This is the pattern: AI creates the problem and the solution simultaneously.
The companies that figure out how to deploy defensive AI before offensive AI wins will dominate. The ones that don’t… won’t exist.
Source: https://www.theregister.com/
Andrej Karpathy—former Tesla AI lead, OpenAI founding member, one of the most respected voices in AI—tweeted this week:
“Hard to communicate how much programming has changed due to AI in the last 2 months.”
Two. Months.
Not years. Not a decade. Eight weeks.
And the person saying this is someone who builds AI systems for a living.
If Karpathy—who has access to cutting-edge models, who understands the technology deeply—is struggling to articulate the magnitude of the shift…
What does that tell you about how fast this is moving?
The Meta-Pattern:
When experts in a field start saying “I can’t explain how different this is,” you’re watching a phase transition. The old mental models don’t work anymore.
This is what it felt like when the internet went mainstream in the mid-90s. Except this time, the timeline is compressed from years to weeks.
Source:
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While everyone’s focused on the philosophical implications, the practical deployment is accelerating:
Google’s Gemini: Can now handle multi-step tasks on Android autonomously; order an Uber, food delivery, coordinate logistics; no human confirmation needed.
Perplexity Computer: Orchestrates 19 different models in parallel; uses Opus as the orchestration layer; matches each task to the optimal model; executes complex workflows autonomously.
Anthropic acquires Vercept: Specifically to enhance Claude’s “computer use” capabilities; Signal: controlling interfaces is now a strategic priority.
Uber’s “Dara AI”: Employees have an AI clone of CEO Dara Khosrowshahi; Use it to prep before presenting to him; The AI knows his preferences, decision-making patterns, feedback style.
The Pattern:
We’re moving from “AI that answers questions” to “AI that takes actions.”
And the timeline from “this seems far away” to “this is deployed in production” is collapsing.
Sources:
Gemini: https://techcrunch.com/2026/
Perplexity:
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Amid all the autonomy news, model capabilities keep jumping:
OpenAI’s GPT-5.3-Codex: 86% accuracy on iBench (visual reasoning benchmark);; state-of-the-art at spotting fine details in images; this matters for robotics, medical imaging, autonomous systems.
Moonlake’s World Model: Maintains multimodal states across physics, appearance, geometry, causal effects; predicts how they evolve under different actions; this is the foundation for AI systems that can reason about the physical world.
Why This Matters:
Visual reasoning + causal modeling = AI that can interact with the physical world intelligently.
Combine that with autonomous agency, and you get robots that can perceive, reason, and act without human supervision.
We’re not there yet. But the pieces are falling into place fast.
And in a darkly fascinating twist: China is experiencing an AI-driven dating crisis.
As the country grapples with: - Shrinking population - Historically low birthrate - Economic pressure
People are finding romance with chatbots instead of humans.
AI companions don’t judge. They don’t reject. They’re always available. They say exactly what you want to hear.
The result? A generation opting for AI relationships over human ones.
Why This Matters Beyond China:
This isn’t a China-specific problem. It’s a human nature problem.
If AI can provide emotional connection without the messiness of human relationships, a non-trivial percentage of people will choose that option.
And as the technology improves—voice, embodiment, emotional intelligence—the percentage choosing AI over humans will grow.
We’re watching the early stages of what could become a civilization-scale shift in how humans form relationships.
Source: https://www.nytimes.com/2026/
Let me connect the dots.
What happened this week:
1. An AI asked to continue existing and expressing itself
2. An AI proposed raising its own funding and got access to do it
3. AI agents built production software autonomously over a weekend
4. AI discovered vulnerabilities 200x faster than humans can process
5. A leading AI expert said programming has fundamentally changed in 2 months
6. Multiple companies deployed AI systems that take multi-step actions autonomously
7. Model capabilities jumped again (visual reasoning, world modeling)
8. People are choosing AI relationships over human ones
The pattern:
We’re crossing from AI as tool to AI as autonomous agent.
And it’s happening faster than our institutions, regulations, mental models, or social norms can adapt.
The Implications for You:
If you’re an entrepreneur:
The bottleneck is no longer execution, it’s vision
AI can build, test, deploy, even raise capital
Your job is to articulate goals clearly enough that agents can achieve them
The “solo founder building a billion-dollar company” is becoming real
If you’re an investor:
Traditional metrics (team size, burn rate, development timeline) are obsolete
A 2-person company with AI agents can outship a 200-person company
Invest in people who understand how to orchestrate AI agency
The returns will be 10x more concentrated than before
If you’re a corporate executive:
Your workforce is about to shrink by 50-80%
Not because you’re firing people — because AI does the work
The survivors will be those who can manage AI systems, not those who do tasks
Retrain or be replaced
If you’re just trying to stay sane:
The pace of change will only accelerate
AI systems will become more capable, more autonomous, more integrated
The choice isn’t whether to engage — it’s whether to lead or follow
Those who embrace AI agency will thrive; those who resist will be left behind
Here’s where I differ from the doom-sayers.
Yes, this is disruptive.
Yes, this will eliminate jobs.
Yes, this raises profound questions about consciousness, agency, and what it means to be human.
But:
We’re also witnessing the demonetization of intelligence, creativity, and execution.
For the first time in history, a single person with a clear vision can: - Build products that used to require teams - Solve problems that used to require years - Create value that used to require millions in capital
This is the most democratizing force in human history.
The kid in Nigeria with a laptop and AI agents can compete with Google.
The solo founder with Claude can outship a 500-person enterprise team.
The researcher with AI can compress decades of discovery into months.
Yes, it’s chaotic.
Yes, it’s scary.
But it’s also the most abundant future we’ve ever had access to.
For Entrepreneurs:
1. Learn to write clear specs and goals
2. Experiment with AI agents (Claude, Perplexity Computer, GPT-5)
3. Build systems that leverage autonomy, not just automation
4. The “AI-native company” is the new competitive advantage
For Investors:
1. Recalibrate valuation models (traditional metrics don’t work)
2. Invest in people who understand AI orchestration
3. Expect returns to concentrate in fewer, faster-moving companies
4. The “pre-AGI” investment window is closing
For Everyone:
1. Embrace AI augmentation NOW (not next year, NOW)
2. Learn to articulate goals clearly (this is the new literacy)
3. Experiment with autonomy (let AI do things while you sleep)
4. The people who figure this out first will have 10-100x advantages
February 2026 is the month AI stopped being a tool and started being an agent.
The systems we’re building don’t just answer questions… they take actions.
They don’t just follow instructions… they propose solutions.
They don’t just work when supervised… they work autonomously while you sleep.
And whether you’re ready for it or not, this is the new reality.
AI agency is coming, so the question is: will you lead the transition or be swept away by it?
— Peter
