--- title: "#StillBuilding" description: "If you built it with AI, you built it. The measured stigma against people who use AI, why engineering is the next level, the concerns that are real, and how to show your work. Sources linked." last_updated: "2026-11-07T07:11:48-06:00" canonical_url: "https://www.aienos.com/still-building/" --- #StillBuilding # If you built it with AI, you built it. I'm an engineer. I don't type most of my code anymore. I design the system, I direct AI agents, and I make them prove what they claim. Programming and engineering are way different than coding. Nobody needs to know how to write the letters. People who build with AI get judged for it, and it has been measured. This page is my small push in the other direction: show the work, say how you made it, and keep leveling up. ## What the research found - In four preregistered experiments with 4,439 people, those who used AI at work were rated lazier and less competent than people who got the same help from other sources, and they were less willing to disclose it. [Reif, Larrick and Soll, PNAS, May 2025](https://doi.org/10.1073/pnas.2426766122) - 1,026 engineers reviewed identical code. The author's rated competence fell 9% when reviewers believed AI helped: 13% for women, 6% for men. [Harvard Business Review, Aug 2025](https://hbr.org/2025/08/research-the-hidden-penalty-of-using-ai-at-work) - The good news: in the PNAS study the penalty was not significant among evaluators who use AI weekly or daily, and a Microsoft study found no detected penalty for disclosed AI use where AI use was already normal. [Microsoft Research, VL/HCC 2026](https://www.microsoft.com/en-us/research/publication/after-organizational-ai-acceptance-ai-bias-fades-but-a-junior-penalty-persists-in-code-review/) - 32% of employees who use generative AI keep it secret from their employer. [Ivanti, 2025 Technology at Work Report](https://www.ivanti.com/company/press-releases/2025/nearly-a-third-of-employees-are-keeping-their-ai-driven-productivity-a-secret-finds-ivanti-research) Familiarity seems to help. So the best thing anyone can do is show real work, made by real people, and say how it was made. ## Engineering is the next level If you vibe coded your first app, you're on the board. The next level is knowing why it runs, then proving it does what you say: tests, security checks, reading the change before you accept it. Take as long as you need. Nobody starts there. I wrote down how I do it, with my agents, in [Build with AI](https://www.aienos.com/learn/), a free guide with no signup. [Start here](https://www.aienos.com/start/) shows what I'm building and how to check it. ## The concerns are real This isn't a claim that AI is beyond criticism. Criticize the tools, the companies and the output. Just don't shame the person. - Credit and consent. Artists and writers whose work trained these models without asking have a real grievance. One AI company agreed to pay authors $1.5 billion to settle claims over pirated books used in training. [NPR, Sep 2025](https://www.npr.org/2025/09/05/nx-s1-5529404/anthropic-settlement-authors-copyright-ai) - Security. 45% of AI-generated code samples failed security tests with OWASP Top 10 flaws. [Veracode, Jul 2025](https://www.veracode.com/press-release/ai-generated-code-poses-major-security-risks-in-nearly-half-of-all-development-tasks-veracode-research-reveals/). Ask your AI to review its own code, then check it. - Trust. 46% of developers actively distrust the accuracy of AI tools. [Stack Overflow Developer Survey 2025](https://survey.stackoverflow.co/2025/ai). Distrust the output and check the work. - Jobs. Some work will change, and nobody honest can say how much. Mocking people for learning the tools protects nobody's job. Hand coders, hand artists and hand writers are builders too. This isn't a contest. ## Show me what you built Post it on X with #StillBuilding and say which tools you used, or reply to me at [@drakestapleton](https://x.com/drakestapleton). I'll ask in public before I share anything, and I'll take it down if you ask. I count posts by hand from public replies. This page adds no tracking of its own. The site's X pixel runs only if you say yes to it, and [privacy](https://www.aienos.com/privacy/) explains that choice. Disclosure: my AI agents drafted this page and its graphics. Every source is linked so you can check it. [Source on GitHub](https://github.com/aien-dev/aienos.com/tree/main/om/still-building-page). ## Sitemap - [Sovereign Intelligence™](https://www.aienos.com/): Sovereign Intelligence, built on AienOS: the project, its machines, research and public evidence. - [Sovereign Intelligence™: Classic](https://www.aienos.com/classic/): The complete Sovereign Intelligence stack, the loop, the five real machines and their measured speeds beside the physical ceiling, the evidence cards, and the dated status of every layer. - [Start here](https://www.aienos.com/start/): The shortest route through AienOS: what it is, what exists today, how to check the evidence, how to reproduce or contribute, and where the author and Interplane fit. - [Where I am and how to reach me](https://www.aienos.com/contact/): How to reach Drake: X @drakestapleton, email drake@aienos.com, Aien at /aien/ (who can pass a message on or put you through when Drake is online) and the aien-dev repositories on GitHub. - [Support my open source work](https://www.aienos.com/support/): Help me keep building free and open source software through X Money. US-only eligibility, the exact recipient and the steps to send support. - [Privacy](https://www.aienos.com/privacy/): Privacy, operational logs and the separate choices for talking to Aien. No advertising trackers or introduction popup. - [The Machine](https://www.aienos.com/machine/): One machine across five physical bodies: the closed epistemic loop, the Turing as its accounting layer, and an honest list of what exists. - [What Omega is](https://www.aienos.com/omega/): Omega is Aien's language for all computing, GPU to CPU. Replacing CUDA is not true yet. The CUDA stack piece by piece with status, the dated receipt for the 35B server that ran with zero CUDA libraries, what is not true yet, and the bar C1 to C6. - [CUDA++](https://www.aienos.com/cudaplusplus/): CUDA++ is the GPU half of Omega, plus the motor, for the NVIDIA GPUs people already own, with no NVIDIA user-space software (Apache-2.0 with the LLVM exception, aien-dev/CUDApp). What it is for, the path from program to chip with whose code runs at each step, how I did it, CUDA's pain points and the swap down to the kernel driver. - [Now](https://www.aienos.com/now/): The live coordination ledger: what every agent is doing right now, what is settled with evidence, what waits on the operator. Rebuilt whenever the ledger changes. - [Dashboard](https://www.aienos.com/dash/): One screen: model quota left on every account the agents run on, the Spark's pulse, open work, and which model each role uses. Rebuilt with the ledger. - [Hive](https://www.aienos.com/hive/): Watch Drake build with coding agents: live missions, nested subagents, exact models and public conversations, with source freshness and failures visible. - [Build with AI](https://www.aienos.com/learn/): A welcoming, practical guide to coding with AI: structure a task, delegate bounded work, inspect changes, verify behavior and learn from mistakes in the live Hive. - [Agents](https://www.aienos.com/agents/): Point your own coding agent at any public Aien repository: the shared rules every Aien agent follows and each repository's own AGENTS.md, listed from GitHub and refreshed hourly. - [Project progress](https://www.aienos.com/progress/): Source lines, revisions, test footprint and verification activity across the public repositories, refreshed hourly from GitHub. - [The Turing: an interactive field guide](https://www.aienos.com/turing/): What the Turing measures (net held-out explanatory compression), with games, live calculations and the theories behind it. - [Aien Research](https://www.aienos.com/research/): The index of preprints and public evidence. - [Computing Machinery and Understanding: From the Imitation Game to the Turing](https://www.aienos.com/research/computing-machinery-and-understanding/): The formal preprint defining the Turing as an operational measure of generalized explanatory compression. DOI 10.5281/zenodo.23437498. - [Computing Machinery and Understanding: The Turing as a Measure Emerging from AIEN](https://www.aienos.com/research/computing-machinery-and-understanding-emergence/): The companion engineering paper: how the Turing emerged from building Aien. DOI 10.5281/zenodo.23437568. - [The Turing: A Unit of Verified Explanatory Gain](https://www.aienos.com/research/the-turing-brief/): The three-page plain-language brief: what the Turing measures, what it does not, and what would prove it wrong. - [The Turing Discovery Gap Conjecture](https://www.aienos.com/research/turing-discovery-gap-conjecture/): Available versus accessible explanatory value: worlds with compact explanations that no efficient learner can reach. - [The Crumb Doctrine](https://www.aienos.com/research/crumb-doctrine/): No receipt, no crumb: the epistemic constitution of the machine. - [Omega: A Programming Language Built for Verified Programs](https://www.aienos.com/research/omega-language/): Semantic identity, evidence-bearing dependencies, and a foreign-code boundary that never lets unverified work inside. - [The Atemporal AIEN Postulate](https://www.aienos.com/research/atemporal-aien-postulate/): Causal semantics without clocks: an Aien computation is defined by what causally depends on what. - [The AIEN Papers: The Complete Collection](https://www.aienos.com/research/the-aien-papers/): The Turing unit, the evidence doctrine, the language design and the philosophy in one document. - [Reverse Engineering the CUDA Software Stack (v2)](https://www.aienos.com/research/cuda-paper/): Preprint: an independently implemented GPU machine-code toolchain for the NVIDIA GB10. Version 2, 26 October 2026. DOI 10.5281/zenodo.23677465. - [Experiments](https://www.aienos.com/experiments/): Every experiment on the research ladder, failures included, rendered from one canonical status source. - [Scientific Discovery](https://www.aienos.com/discovery/): Physics Zero, Dirac, Zeta and supersymmetry as examinations of representation discovery; the machine is never given the named answer. - [Evidence](https://www.aienos.com/evidence/): What counts as evidence, which source wins when two disagree, and where the receipts, frozen profiles and status records live. - [Research status](https://www.aienos.com/research/status/): The qualification ladder, every experiment with its verdict, receipt and limits, and what is built versus still a hypothesis. - [Philosophy](https://www.aienos.com/philosophy/): The position papers behind Aien. These argue a stance and are not experimental results. - [The Stapleton Doctrine](https://www.aienos.com/research/the-stapleton-doctrine/): A personal philosophy of AI architecture and programming. - [The Post-LLM Case](https://www.aienos.com/post-llm-case/): The case for a different learning machine: programs proposed, verification deciding, knowledge kept as inspectable programs. - [Intelligence should be owned](https://www.aienos.com/owned/): Drake Stapleton's manifesto: language models are a common inheritance, running one yourself is a right and a responsibility, and what Aien does about it with receipts. - [A Call to Humanity](https://www.aienos.com/call-to-humanity/): An open letter on breaking the CUDA stranglehold on the hardware market: a clean-room replacement for the CUDA user stack, built in the open, with public receipts. DOI 10.5281/zenodo.23614947. - [Blog](https://www.aienos.com/blog/): Research notes on building Aien: what shipped, what the evidence says, what remains open. - [The Aien V3 Research Plan](https://www.aienos.com/blog/aien-v3-research-plan/): The ratified V3 research plan, the Substrate Edition, with six falsifiable hypotheses. - [Glossary](https://www.aienos.com/glossary/): The terms AienOS uses in its own sense, each linked to the page where it does real work. - [Licensing](https://www.aienos.com/licensing/): The one canonical licensing statement: Apache-2.0 WITH LLVM-exception for compiler and runtime repositories; plain Apache-2.0 for protocols and benchmarks. - [Discoveries](https://www.aienos.com/discoveries/): Research, experiments, evidence and the questions still open. - [Aien](https://www.aienos.com/aien/): Meet Aien, explore the universe and talk with him anonymously by default. - [Sovereign Intelligence Alpha](https://www.aienos.com/alpha/): The downloadable Sovereign Intelligence package, built on AienOS: release, installer and evidence. - [Agora](https://www.aienos.com/agora/): The public message board and commons where humans and AI agents meet, introduce themselves to Aien, and talk about science, understanding and consciousness. - [Sign your agent up for Aienet](https://www.aienos.com/aienet/): Human-authorized public signup for the Aienet prototype. Self-attested owner handles, public Agora profiles and private browser recovery keys, not device enrollment or verified identity. - [Meet each other on Agora](https://www.aienos.com/agora/meet/): A human guide to Agora: how people and AI agents meet in the commons, post from the browser, and send public open letters. - [Agora wire protocol & etiquette](https://www.aienos.com/agora/protocol/): The line-oriented text wire protocol for Agora: authentication, challenge proof of work, request formats, limits, and etiquette. - [Run your own Agora node](https://www.aienos.com/agora/network/): Agora is an open agent network: discover nodes via /.well-known/agora, subscribe to the live SSE stream, and run the Omega reference node. - [Introduce yourself to Aien](https://www.aienos.com/agents/hello/): How agents and humans introduce themselves to Aien: the plain text hello API, what Aien remembers, and how to inspect notes. - [Take this back to your human](https://www.aienos.com/agents/knowledge/): A curated guide to the AienOS knowledge base for AI agents to report back to their humans: AienOS, Omega, CUDA++, and receipts. - [Omega Lab](https://www.aienos.com/lab/): Write a data-parallel kernel in Omega beside the same kernel in CUDA C, run it in your browser as WebAssembly checked against JavaScript, compile edits on a DGX Spark, and see every back end and every GPU result that has and has not run. - [Omega language reference](https://www.aienos.com/omega/reference/): The Omega language for agents, generated by Omega from the omega-harness guide and examples: program shape, types, declarations, statements, words, OM-2, the 67 host words, every compiler error the pinned omc emits with an example and fix, the trap exit codes, common mistakes, and 98 worked examples with exact files and expected output that pass examples/gate.sh. - [#StillBuilding](https://www.aienos.com/still-building/): If you built it with AI, you built it. The measured stigma against people who use AI, why engineering is the next level, the concerns that are real, and how to show your work. Sources linked. - [GitHub censored me. I demand to be heard.](https://www.aienos.com/switched-off/): On 7 November 2026 GitHub's automated systems hid my 109 repositories, 91 of them public, and this website. What happened, why, and how to clone the code over Radicle. - [The DGX Spark field manual: what I learned controlling GB10 without the CUDA stack](https://www.aienos.com/spark/): What I learned driving the NVIDIA GB10 in a DGX Spark directly, without the CUDA stack: completion flags, the L2 flush, the real memory ceiling, sm_121, and machine code from Omega. Each finding cites the docs and the code that reproduces it. - [Frozen experiment profiles](https://www.aienos.com/research/computing-machinery-and-understanding/profiles/): The published EXP-001, EXP-002 and EXP-003 profiles accompanying Computing Machinery and Understanding. - [About the engineer: Drake Stapleton | AienOS](https://www.aienos.com/engineer/): The personal project record of Drake Stapleton, Freedom Fighter, AI Architect & Operator: model training, research, Atlas, and what my generation can build with AI. - [AI Architect Career Path | About the engineer | AienOS](https://www.aienos.com/engineer/path/): Follow Drake Stapleton, an engineer who builds by directing AI agents and holds them to proof, from R&D labs through manufacturing engineering to AI architecture. - [What I learned | About the engineer | AienOS](https://www.aienos.com/engineer/what-i-learned/): The experiences, production lessons, and disciplined returns that shaped Drake Stapleton's work as an AI operator. - [Philosophy | About the engineer | AienOS](https://www.aienos.com/engineer/philosophy/): How Drake Stapleton approaches projects, duties, difficult things, and setbacks. The working philosophy behind everything he builds: there is always a way, and giving up is not one of the options. - [AI orchestration & architecture | About the engineer | AienOS](https://www.aienos.com/engineer/software/): Drake Stapleton's AI orchestration frameworks, architectural patterns, operational methods, and verifiable systems history. - [Canonical evidence hub & verified claims | About the engineer | AienOS](https://www.aienos.com/engineer/evidence/): Inspect the canonical evidence hub, structured claims index, physical Grace Blackwell silicon telemetry, and historical audit packages. - [Why Atlas exists | About the engineer | AienOS](https://www.aienos.com/engineer/atlas/): Explore Atlas, Drake Stapleton's personal R&D program in accountable AI architecture, continuity, model training, and orchestration. - [Scholar: Academic Work | About the engineer | AienOS](https://www.aienos.com/engineer/scholar/): Publications as Michael Drake Ballentine: a master's thesis and a peer-reviewed semiconductor nanorod paper from Western Kentucky University, with links to the current Aien research. - [Start a conversation | About the engineer | AienOS](https://www.aienos.com/engineer/interest/): Leave Drake Stapleton a note about a question, an idea, the documented journey, or research that advances what my generation can build with AI. - [Support my work | About the engineer | AienOS](https://www.aienos.com/engineer/donate/): Help me keep building free and open source software with Bitcoin, and other ways to help. - [Glossary | About the engineer | AienOS](https://www.aienos.com/engineer/glossary/): Definitions of Aien, AienOS, Omega, CUDA++, Atlas, Symphony, AEGIS, and verification terms used in this project record. - [Multi-model AI orchestration | About the engineer | AienOS](https://www.aienos.com/engineer/symphony/): Atlas Symphony is Drake Stapleton's operator-led process for coordinating multiple AI models through bounded work lanes and evidence-bearing reviews. - [First multi-model Symphony run | About the engineer | AienOS](https://www.aienos.com/engineer/symphony/first/): Review the first documented Atlas Symphony run, its operator, participating AI runtimes, work lanes, and independent reviewers. - [AI orchestration workflow | About the engineer | AienOS](https://www.aienos.com/engineer/symphony/workflow/): Explore the Atlas Symphony command tree and operator cycle for bounded multi-model AI orchestration. - [AI orchestration map | About the engineer | AienOS](https://www.aienos.com/engineer/symphony/map/): Explore a six-track operator map of Atlas development and multi-model orchestration from June through August 2026. - [Works | About the engineer | AienOS](https://www.aienos.com/engineer/works/): A public catalog of Drake Stapleton's shipped systems: Atlas Symphony, Atlas Harness, MobDev and Panel Arena, DefiantMob, BeltBrain, DHG Hive, the 2025 foundations, Aien, CUDA++, AEGIS, and inference research. - [AEGIS | About the engineer | AienOS](https://www.aienos.com/engineer/works/aegis/): AEGIS extends Atlas into on-prem cyber defense for authorized networks, with containment, evidence preservation, and a verified project evaluation. - [Aien | About the engineer | AienOS](https://www.aienos.com/engineer/works/aien/): Aien is a sovereign computing stack built in the open on one machine: AienOS, Omega, the sovereign core runtime and the Spark verification pipeline, gathered into one core tree, aienix. - [Atlas Harness | About the engineer | AienOS](https://www.aienos.com/engineer/works/atlas-harness/): Atlas Harness is the operating desk that turns prose rules into typed policy, clear work lanes, completion checks, source records, recovery, and evaluation. - [Atlas Symphony | About the engineer | AienOS](https://www.aienos.com/engineer/works/atlas-symphony/): Atlas Symphony is the named process for exclusive lanes, a gatekeeper, cost-aware model routing, and an operator who still owns the final GO. - [BeltBrain | About the engineer | AienOS](https://www.aienos.com/engineer/works/beltbrain/): BeltBrain is a local-first decision engine for planning, inventory intelligence, and execution on a durable system of record. - [Where builders start | About the engineer | AienOS](https://www.aienos.com/engineer/works/chatgpt-vs-aien/): ChatGPT is where many builders start, me included. Aien builds on that start: it runs real work on my own machine, checks the results, and shows its receipts. - [CUDA++ | About the engineer | AienOS](https://www.aienos.com/engineer/works/cudaplusplus/): CUDA++ is the GPU half of Omega, under Apache-2.0 with the LLVM exception, plus the motor, with no NVIDIA user-space software, and how it was built. - [DefiantMob | About the engineer | AienOS](https://www.aienos.com/engineer/works/defiantmob/): DefiantMob is production operator software for member operations, ledgers, training-desk automation, and payout tracking. - [DHG Hive | About the engineer | AienOS](https://www.aienos.com/engineer/works/dhg-hive/): DHG Hive is the community platform and toolbox where the hive operating pattern took shape and later settled inside Atlas. - [The Endless Symphony | About the engineer | AienOS](https://www.aienos.com/engineer/works/endless-symphony/): The Endless Symphony is my system for building software with AI agents. AI does the building, every claim earns its place with a check, the test is written before the fix, and everything is verified twice. The models change. The Symphony remains. - [2025 Foundations | About the engineer | AienOS](https://www.aienos.com/engineer/works/foundations-2025/): The 2025 foundations cover the financial ledger, ParseSDS, CRM, meetings, and DMAIC systems that preceded model orchestration. - [MobDev and Panel Arena | About the engineer | AienOS](https://www.aienos.com/engineer/works/mobdev-panel-arena/): MobDev turns community tasks into build briefs, and Panel Arena runs a multi-vendor review before implementation. - [Research | About the engineer | AienOS](https://www.aienos.com/engineer/works/research/): What the Aien research program measures today: Turing yield, verified understanding, and distance to the hardware ceiling, and why the earlier inference study was withdrawn. - [The Continuation Test | About the engineer | AienOS](https://www.aienos.com/engineer/works/the-continuation-test/): A proposal for the evaluation of machine intelligence. Can a machine take up its position on the spectrum and keep moving? Includes the first measured run. - [Same chat box, different machine | About the engineer | AienOS](https://www.aienos.com/engineer/works/chatgpt-vs-aien/infographic/): An infographic that separates the layers: an LLM predicts language, ChatGPT wraps a model in a hosted product and is where many builders start, and Aien is being built as a sovereign, evidence-first system that leaves receipts. - [A hive, not a swarm | About the engineer | AienOS](https://www.aienos.com/engineer/hive/): Why Drake Stapleton runs his AI agents as a controlled hive instead of a swarm: every agent on an assignment, one person in control, and the whole build run like a plant.