Add the initial superintelligence flywheel manifesto #16769
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Documentation ReviewI've reviewed the blog post for style, accuracy, and best practices. Overall, this is a well-written and engaging piece that effectively communicates the flywheel concept. Below are the issues found: Critical IssuesBroken links (line 146):
Minor IssuesTypo (line 60): Style NotesEscaping (line 86, 104, 118): Checklist Items from PR DescriptionBased on the PR description, the following items are still pending:
The PR description mentions these are still needed, which is fine for draft review. Positive Observations
Fix the broken links before merging. The typo fix is recommended but less critical. If you'd like me to review updates or help with any revisions, feel free to mention @claude in a comment. |
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| The systems being built today for superintelligence are already straining human platform teams to their limits and yet we’re still only just getting started. To succeed, we will have no choice but to use AI itself to help us manage the infrastructure scaling ahead on the path to superintelligence. |
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I'm sure its coming, but wonder if we should weave in: "let your team focus on the hard problems, not the infrastructure itself" type pros
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| The systems being built today for superintelligence are already straining human platform teams to their limits and yet we’re still only just getting started. To succeed, we will have no choice but to use AI itself to help us manage the infrastructure scaling ahead on the path to superintelligence. | ||
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| There's a second dynamic accelerating this. AI-assisted software development tools are making engineers dramatically more productive. Developers are shipping more code than ever before. But unlike software engineering, legacy infrastructure practices lack inherent guardrails to enable AI-assisted infrastructure engineering: linters, static analysis, testing frameworks, canaries, staged rollouts. The tooling that worked when humans were the limiting factor won't work when AI agents are generating and deploying infrastructure code at machine speed. |
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And programming languages? your team is already using Python, why introduce a new tool and added cognitive burden?
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| We've been in the infrastructure business for nearly a decade, and we've never been more excited about, or in awe of, the scale we are seeing as we build out superintelligence. |
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I wonder if we need a "why now" statement on this manifesto. Should we say we didn't expect to get the demand, interest and usage we have seen from organizations building for superintelligence.... etc. Whats different in the last 6-12 months that makes this more important or relevant.
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Added a sentence to the opening:
We are hitting a tipping point that will require entirely different approaches to how we manage and scale infrastructure in this new era.
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| There are two foundations that form a cohesive superintelligence platform: | ||
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| ### Foundation \#1: Pulumi as the Infrastructure Automation Substrate |
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I'm kinda torn on where the manifesto heads from here. Is this thought leadership or product marketing? Can it be both? If we want it to be thought leadership, can we talk about the capabilities needed instead of the specific product needed? maybe a part 2 on why Pulumi is positioned to capitalize on the opportunities here?
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I was definitely trying to walk a fine line between the two: open with thought leadership positioning, and segue gently into why Pulumi can be the answer to these unique challenges (one: Pulumi itself helping the new levels of scale we see; two: Neo being the answer to applying AI to your infrastructure automation).
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| This level of dynamism can't be managed by humans watching dashboards and approving PRs. The infrastructure itself needs to become intelligent—capable of planning, executing, and adapting without waiting for human operators. | ||
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| The frontier labs building this have learned through direct experience. They have historically had to work around legacy infrastructure tools and slow-moving DevOps teams, taking matters into their own hands. As one infrastructure lead put it: "There are thirty people in the world that know how to do this right now." It is time for this knowledge to spread faster, in the hands of platform teams, because everyone building with AI is running into some version of the same problem. |
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Should we generalize this somehow? "You don't have to be training GPT-5 to feel this pressure. If you're deploying fine-tuned models, running inference at scale, or just trying to keep up with AI-assisted developers shipping faster then you're on the same curve, just earlier."
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| **Uniquely enabled by infrastructure as code**. Neo operates on infrastructure code, not opaque configurations or cloud APIs directly. Even for resources not yet managed by Pulumi, Neo seamlessly imports them under code management before making changes. Every action flows through version control, policy checks, and state tracking. This ensures the underlying LLM’s coding smarts apply to infrastructure changes. | ||
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| **Built for progressive autonomy**. Organizations configure Neo's independence by environment and task type. Dev environments might permit fully autonomous operation—daily waste cleanup, weekly drift reconciliation—while production changes may require human approval. When Neo encounters unexpected state or errors, it can self-diagnose or loop in a human for assistance as needed. As confidence builds, the autonomy boundary expands, towards full autonomy. |
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Feels like we also could talk about the importance of guardrails (introduced above) in regards to Neo. something like "The same velocity that creates opportunity creates risk. An agent that can provision 1,000 resources can also misconfigure 1,000 resources. This is why progressive autonomy, bounded by policy, previews, and human checkpoints, isn't a nice-to-have."
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| ## The Technical Reality |
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| ## The Technical Reality | |
| ## The Technical Reality: Infrastructure Challenges in the AI Era |
| title: "The Superintelligence Flywheel: Infrastructure for the AI Era" | ||
| date: 2025-12-11T00:00:00-00:00 | ||
| draft: false | ||
| meta_desc: Superintelligence is right on the horizon and with it comes incredible infrastructure scale, which itself demands superintelligent approaches to infrastructure. |
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| meta_desc: Superintelligence is right on the horizon and with it comes incredible infrastructure scale, which itself demands superintelligent approaches to infrastructure. | |
| meta_desc: Discover why the rise of superintelligence requires intelligent, automated infrastructure and how Pulumi and Neo power the next generation of AI platforms. |
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| We've been in the infrastructure business for nearly a decade, and we've never been more excited about, or in awe of, the scale we are seeing as we build out superintelligence. |
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| We've been in the infrastructure business for nearly a decade, and we've never been more excited about, or in awe of, the scale we are seeing as we build out superintelligence. | |
| Organizations developing frontier AI models face unprecedented infrastructure demands, from massive compute footprints to multi-cloud distribution and constantly reconfiguring environments. Meeting these needs requires a new approach to automation and scale that evolves with rapidly advancing AI systems. | |
| This moment in AI is redefining what modern infrastructure must support, and we've been in the infrastructure business for nearly a decade, watching these shifts unfold with growing excitement and awe as we build out superintelligence. |
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| ## The Flywheel Defined |
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| ## The Flywheel Defined | |
| ## The Superintelligence Flywheel Explained |
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| ## Towards a Superintelligence Platform |
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| ## Towards a Superintelligence Platform | |
| ## Building the Platform Layer for Superintelligence |
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| ## Evidence at Scale |
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| ## Evidence at Scale | |
| ## Evidence at Scale: How Organizations Use Pulumi Today |
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| ## The Superintelligence Flywheel is in Motion |
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| ## The Superintelligence Flywheel is in Motion | |
| ## The Flywheel Accelerates Into the AI Infrastructure Era |
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