Community & Organization
A Data Center Can Energize a Community!
Identify the investments, expertise and partnerships that could help advance the community’s own long-term goals.
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GreenPlex Insights
Four Macs vs Data Centers + 20 Years
When we forecast AI data-center electricity demand 10 or 20 years into the future, I think we should be very careful about simply extrapolating today’s architecture. Think about Mainframe to Micro power curve!
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GreenOS
Your Business Plan Is One Number. The Future Is 150.
What a CEA farm taught me about replacing forecasts with probabilities.
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Community & Organization
A Primer on Grassroots Opposition to Data Center Expansion
Not in my Backyard!
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GreenOS
Could GreenOS Have Helped Mitigate the CEA Industry's Very Painful Vertical Farm Failures?
GreenOS collapses biology, labor, energy, and processing into channel-level contribution margin — making it impossible to celebrate yield or precision gains that destroyed cash flow.
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GreenOS
Risk Analysis for Indoor Agriculture
A borrower who can quantify the bad year has, by demonstration, thought harder than one who can't. If your risk assessment can't move a number in your pro-forma, it isn't finished.
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GreenOS
EBITDA from a CEA Perspective
The better questions are not "What is EBITDA?" but: What does EBITDA look like after debt service? What does sustaining capex cost? How many operating cycles can working capital sustain if EBITDA compresses suddenly?
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AI Research
Giving Fable 5 a prime directive to mitigate sloppy domain language coinage.
Verbatim transcript where I hand Fable 5 a prime directive concerning ( ironically) its use of language. ( Edited for clarity)
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AI Research
Claude Fable 5: Past, Present and Future Stories of Informational Retrieval at Scale
Ask "who is the funded, empowered owner of this schema in five years, and what percentage of our actual query log requires a join?" If either answer is mumbling, you've found your line.
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AI Research
Betting against Claude Opus and winning big!
I propose double-or-nothing on our 100GB bet .. I bet we can fix this and get the Average Precision above .80 !!
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AI InfoSec
Encoding Authority and Trust with Pydantic and DDD principles
This is where Pydantic becomes especially powerful in complex organizations. The fields are not merely type annotations; they can encode the semantic, authoritative, and governance context of the data itself.
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AI Research
The Naming Nemesis: Teams with reduced productivity, AI with reduced accuracy... all because of naming!?
Please note, in this article, the term 'names' is meant to include the cognitive / linguistic aspects of naming in the software realm. 'Concepts' is perhaps a better term... i.e., the behavioral, cultural, political, operational dimensions of our organizational conceptual frameworks.
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AI InfoSec
Understanding the looming AI Infosec Crisis - Is it too late?
Anthropic's Carlini ends his talk with a line worth taking seriously: “These next couple of months will really be some of the most important couple of months for security.” He is not being dramatic. He is pointing out the shape of our impending doom while also saying... let's not give up just yet.
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Product Design
The epic (sad) story of why businesses and software products fail so often
When it comes to viable software (and hardware) product design, most people in business don't understand 'the problem' , let alone the 'solution space'
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AI Research
Success Story: Cost-effective AI models answer data analytics, business intelligence and data science questions
See the results of a 2-year research project to use AI inference and NLP interfaces to answer complex data analytics and data science queries.
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AI Research
When building AI apps, coding is less and less the important part. Plan, Spec, (Code) Test, Document!
When developing with AI, it's what you do before and after coding that really matters... And how you manage LLM context space.
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AI Research
When developing AI based apps and services: Always know the answer before you ask the question.
This sounds like a contradiction but before coding an AI agentic pipeline to handle a certain type of question, you should already know representative answers. Don't rely on your inline agent to manufacture your answers on it's own. Known-good answers (e.g., 'goldens') are a key accelerator for AI development.
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AI Research
Inference-time AI Evaluation Methods: Loop through validation code, judge models and human monitors
Production AI systems need layered test-time evaluation driven by model confidence scores. Code-based business rules validate every response. Model judge panels catch edge cases when confidence dips. And for the highest-stakes scenarios, a virtual situation room of human experts and peer reviewers provides the ultimate quality gate. The key: not every answer needs the same scrutiny. Let confidence drive the escalation.
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AI Research
Why is psychometrics a white-hot human skill for the AI field!?🔥
Psychometrics is showing up in AI engineering because evaluating and shaping the behavior of large models now looks a lot like evaluating and shaping human abilities, traits, and biases—which is exactly what psychometrics was built for
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