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FMFrancesco Minghettifrancescominghetti.hashnode.dev6d ago · 14 min read

A Million Agents Won't Save You

The book that stuck with me most this month, and the one I'd recommend to anyone reading this, is People First, Come ripensare il lavoro digitale partendo dai bisogni delle persone, by my colleague Ig

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2K24 Karat Recordsaurum-ai.hashnode.devJun 12 · 22 min read

Introducing Aurum

Aurum: putting the authority outside the model What this is Aurum is a governance layer that sits between an autonomous agent and the things it can actually do. The model proposes. Aurum decides. And

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2K24 Karat Recordsaurum-ai.hashnode.devJun 8 · 8 min read

Making governance hold for a reason, not just by force

The cage stops things. But what stops the agent from wanting to leave? 🤔 A lot of agentic AI safety work is prevention. You build walls. The agent cannot call that API. It cannot write to that path.

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JOJosiah Obekajosiahwrites.hashnode.devJun 6 · 18 min read

Governing AI Red-Teaming: Lessons from Cybersecurity and Where They Break Down 

The Uncritical Import Problem Within traditional cybersecurity, red teaming is an offensive security concept that refers to an authorized security exercise where defenders simulate real-world attack

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PHProf Hernan Huwyler, MBA CPA CAIOai-risk.hashnode.devApr 13 · 16 min read

Why I Write About AI Governance (And Why It Actually Matters)

Blog: https://hernanhuwyler.wordpress.com I've spent the last two decades sitting in rooms where smart people make expensive mistakes with technology they don't fully understand. I've watched boards a

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AGAditya Guptaadiyogiarts.hashnode.devApr 3 · 10 min read

Claude AI Optimization: Production Control for Latency and Cost

Originally published at adiyogiarts.com Learn empirical methods to optimize Claude’s temperature and top_p settings. Reduce API costs through prompt caching and minimize latency for high-throughput production systems. parameter-tuning SAMPLING ARCHI...

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RTRicardo Trevisandeepencanvas.hashnode.devJan 28 · 6 min read

What becomes financially relevant when functional intelligences operate as shared infrastructure?

This is the question that best explains the current moment in AI — and the one that most unsettles those who still try to interpret the phenomenon as mere technical evolution. The market isn't migrating to “better agents.” It’s migrating to systems w...

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AGAbhinav Girotrathesoultech.comJan 25 · 8 min read

The Emperor's New Algorithms: Why 99.3% of "Explainable" AI Has Never Met a Human

Day 42 of #100WorkDays100Articles From corporate architect to consciousness advocate: documenting the journey toward AI that serves humans, not spreadsheets Here's something that'll wake you up faster than your third espresso: researchers at MIT Lin...

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SRShruti Rajeshblog.zysec.aiJan 20 · 3 min read

89% Plan GenAI Adoption by 2027: Barriers Revealed

89% Plan GenAI Adoption by 2027: Barriers Revealed By 2027, nearly nine out of ten enterprises will have GenAI embedded in their operations—yet most are currently stuck in pilot purgatory. The gap between ambition and execution isn’t just wide; it’s ...

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RTRicardo Trevisandeepencanvas.hashnode.devNov 17, 2025 · 2 min read

AI Black Swan

The benefits are clear—and they’ve already made AI a critical infrastructure. Management reports, risk analyses, prioritization, planning, automations, and even semantic data reading now depend on models that boost speed, accuracy, and interpretive c...

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#aigovernance

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Trending tags this week

A Million Agents Won't Save You

Introducing Aurum

Making governance hold for a reason, not just by force

Governing AI Red-Teaming: Lessons from Cybersecurity and Where They Break Down

Why I Write About AI Governance (And Why It Actually Matters)

Claude AI Optimization: Production Control for Latency and Cost

What becomes financially relevant when functional intelligences operate as shared infrastructure?

The Emperor's New Algorithms: Why 99.3% of "Explainable" AI Has Never Met a Human

89% Plan GenAI Adoption by 2027: Barriers Revealed

AI Black Swan

Governing AI Red-Teaming: Lessons from Cybersecurity and Where They Break Down 