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Fighter's World
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Fighter's World

Live in the future, then build what's missing

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Latest from Fighter's World

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Fighter's World
Fighter's World
Jun 21, 2026 · Artificial Intelligence

How Post‑Training Turns General AI into Enterprise‑Specific Intelligence

The article explains how post‑training shifts AI investment from massive pre‑training compute to targeted, low‑cost fine‑tuning that lets enterprises embed proprietary business logic, outlines the ROI formula based on data exclusivity, eval formalizability, and task frequency, and presents real‑world case studies.

AI economicsReinforcement LearningScaling Laws
0 likes · 24 min read
How Post‑Training Turns General AI into Enterprise‑Specific Intelligence
Fighter's World
Fighter's World
Jun 19, 2026 · Industry Insights

Recursive Self‑Optimization: Solving AI Infra’s Speed‑Scale‑Complexity Triangle

The article argues that AI infrastructure faces an impossible triangle of rapid expansion, gigawatt‑scale capacity, and heterogeneous DAG orchestration, and shows that only recursive self‑optimization—compressing chip design, software development, and model creation cycles—can simultaneously satisfy speed, scale, and complexity constraints.

AI infrastructureScaling Lawschip design
0 likes · 20 min read
Recursive Self‑Optimization: Solving AI Infra’s Speed‑Scale‑Complexity Triangle
Fighter's World
Fighter's World
Jun 14, 2026 · Industry Insights

From Tokens to Value: How Context Becomes the New AI Bottleneck (AI Supercycle’s Solow Paradox)

The article argues that enterprise AI’s biggest obstacle has shifted from model capability to unformalized organizational context, showing that process redesign and agent trace can deliver order‑of‑magnitude productivity gains, while the overall AI value stack inversion will unfold slowly as firms learn to absorb AI.

AI economicsAgent traceDatabricks
0 likes · 21 min read
From Tokens to Value: How Context Becomes the New AI Bottleneck (AI Supercycle’s Solow Paradox)
Fighter's World
Fighter's World
Jun 7, 2026 · Artificial Intelligence

From Electrons to Tokens: The Physical Economics of AI Factories

This article dissects the AI super‑cycle economics by breaking down the full‑stack cost of AI factories, revealing that GPUs account for only half of expenses while power infrastructure, labor, and cooling dominate, and examines how token value, bottlenecks, and competitive strategies shape the market.

AI infrastructureCapExGPU pricing
0 likes · 20 min read
From Electrons to Tokens: The Physical Economics of AI Factories
Fighter's World
Fighter's World
May 23, 2026 · Industry Insights

AI Supercycle Economics Part 1: Mapping the AI Value‑Chain with an A‑Shaped Framework

Apoorv Agrawal’s AI supercycle analysis introduces an A‑shaped three‑layer value‑chain (Semiconductor → Infrastructure → Apps), shows how AI revenue grew from $90 B in 2024 to $435 B in 2026, why the semiconductor layer now captures most profit, and what conditions could flip the structure.

AI economicsAI infrastructureGenerative AI
0 likes · 27 min read
AI Supercycle Economics Part 1: Mapping the AI Value‑Chain with an A‑Shaped Framework
Fighter's World
Fighter's World
Apr 26, 2026 · Artificial Intelligence

How to Make AI Agents Reliable: Skillify’s 10‑Step Continuous Improvement Process

Agent systems often repeat the same failures, like missing historical calendar data or miscalculating time zones, but Garry Tan’s Skillify framework turns each error into a testable skill with a ten‑step checklist—including contracts, deterministic scripts, unit and integration tests, LLM evals, resolver checks, DRY audits, smoke tests, and knowledge‑base filing—to make agents structurally unable to repeat mistakes.

AI agentsContinuous ImprovementLLM Evaluation
0 likes · 22 min read
How to Make AI Agents Reliable: Skillify’s 10‑Step Continuous Improvement Process
Fighter's World
Fighter's World
Apr 4, 2026 · R&D Management

Building an AI‑Native Organization: From Hierarchy to Intelligent Ops

When AI eliminates execution bottlenecks, the real constraint becomes information flow, prompting a shift from hierarchical information‑routing to AI‑driven world models, intelligence layers and interfaces; the article analyses Block’s four‑layer architecture, its preconditions, challenges for mid‑level managers, and offers a step‑by‑step path for small teams to begin the AI‑native transformation.

AI-nativecapabilitieshierarchy
0 likes · 24 min read
Building an AI‑Native Organization: From Hierarchy to Intelligent Ops
Fighter's World
Fighter's World
Mar 28, 2026 · Artificial Intelligence

What Engineering Decisions Make AI Coding Agents Effective? Lessons from the OpenDev Paper

The article dissects OpenDev’s open‑source AI coding agent, comparing its scaffolding‑vs‑harness architecture, cognitive‑flow design, context‑compression strategies, tool‑reliability mechanisms and safety layers with Claude Code, Cursor, Codex and Augment, and shows that harness‑level engineering remains the biggest performance lever even for frontier models.

AI coding agentContext CompressionOpenDev
0 likes · 39 min read
What Engineering Decisions Make AI Coding Agents Effective? Lessons from the OpenDev Paper
Fighter's World
Fighter's World
Mar 14, 2026 · Industry Insights

Can Industry AI Agents Compete with Claude’s Powerful Plugins?

The article examines how Anthropic’s Claude Cowork with plugins lets lawyers build custom AI workflows that cut operating costs dramatically, contrasts this DIY approach with vertical AI platforms like Harvey, and analyzes how these dynamics are reshaping the legal market and its competitive landscape.

AI agentsAI workflowClaude
0 likes · 16 min read
Can Industry AI Agents Compete with Claude’s Powerful Plugins?