AI

64 articles tagged with "AI"

Part 1. What Makes the New AI Model "Jev" Special? Reproduced with NerveReflex and an Open Model Series

Part 1. What Makes the New AI Model "Jev" Special? Reproduced with NerveReflex and an Open Model

Jev is a new decision-focused AI model announced by ChatGPT co-inventor Diogo Almeida. This post separates the announcement from social media claims, explains why the approach is fast and cheap, and shows how I reproduced the same kind of setup with NerveReflex ideas and the open model Gemma 4 26B.

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OpenAI's Next Model "Astra" — Thinking Deeper While Cutting Inference Cost, and the Security Concerns That Come With It Insight

OpenAI's Next Model "Astra" — Thinking Deeper While Cutting Inference Cost, and the Security Concerns That Come With It

Recurrent Depth is reported to be used in OpenAI's next model, Astra. I look at what it means to keep reasoning inside the model's internal representation instead of writing it out as words — for inference cost, for AI safety monitoring, and for NerveReflex, the architecture I have been building.

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Preventing Enterprise AI Agent Failures — the "20% AI, 80% Deterministic" Design I Learned in the Field as an FDE Insight

Preventing Enterprise AI Agent Failures — the "20% AI, 80% Deterministic" Design I Learned in the Field as an FDE

Lessons from building HR and finance AI agents in the field as a forward deployed engineer: the 20% AI / 80% deterministic design, the limits of general-purpose assistants, and why coexistence beats full automation.

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Is Meta Compute a Sign of an AI Bubble Collapse? Insight

Is Meta Compute a Sign of an AI Bubble Collapse?

Meta's plan to rent out spare AI compute spooked Neocloud stocks. But looking at pricing, capex, and ad AI, I read Meta Compute not as a sign of compute deflation, but as data centers becoming a rental asset with several revenue routes.

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Part 1. VOI and KOI: Metrics for the Token Economy — Maximizing AI's Result per Dollar Series

Part 1. VOI and KOI: Metrics for the Token Economy — Maximizing AI's Result per Dollar

Tokenmaxxing is turning AI usage into an internal score, and infrastructure cost is running away. I look at model routers as the first line of defense, their blind spot, and the shift from input-driven to outcome-driven routing with two metrics — VOI and KOI — and an open-source tool, Nishiki.

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From Semiconductors to Gold, Real Estate, and Subprime: The Financialization and Risk of AI Infrastructure Insight

From Semiconductors to Gold, Real Estate, and Subprime: The Financialization and Risk of AI Infrastructure

GPUs and ASICs are turning from parts into a store of value, then real estate, then leveraged financial products. I trace CoreWeave, SPVs, and the move into leveraged loans and CLOs, and check the structural similarities to the 2008 subprime crisis with a calm eye on the risk.

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Reading the AI Era Through Jevons' Paradox: Why Demand Rises and What Talent Will Be Needed Insight

Reading the AI Era Through Jevons' Paradox: Why Demand Rises and What Talent Will Be Needed

Does efficiency from AI really destroy demand and jobs? Using Jevons' Paradox from economics, this piece looks at the reversal of demand happening in memory, inference cost, energy, and labor — based on facts.

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SpaceX IPO and the Question of Valuation: How to Price Starlink's Communications Infrastructure and SpaceXAI Insight

SpaceX IPO and the Question of Valuation: How to Price Starlink's Communications Infrastructure and SpaceXAI

The reported $1.75 trillion SpaceX IPO is not a rocket-company listing. The real problem is how to price Starlink's cash-generating infrastructure and SpaceXAI — the absorbed xAI business — on a single balance sheet.

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Tokenmaxxing in the Anthropic Era: A New Opening for AI Startups Insight

Tokenmaxxing in the Anthropic Era: A New Opening for AI Startups

Cutting headcount with AI lowers labor cost, but inference cost is starting to rise. Looking at Anthropic, Uber, Meta, Amazon, and others, I think Tokenmaxxing is opening a new market for AI infrastructure startups.

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