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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
Jul 23, 2026 · Industry Insights

From Coding Agents to a Software Factory: Factory.ai’s Roadmap

Factory.ai’s shift from a personal‑developer coding agent to an enterprise‑level Software Factory illustrates how faster code generation reveals downstream bottlenecks, forces organizations to rethink token usage, adopt multi‑model independence, and build dynamic routing, harness, and contextual governance to achieve true AI‑driven software delivery.

AI Coding AgentsEnterprise AIModel independence
0 likes · 26 min read
From Coding Agents to a Software Factory: Factory.ai’s Roadmap
Fighter's World
Fighter's World
Jul 4, 2026 · Industry Insights

When Agents Become Infrastructure Consumers – AI Supercycle Economics Part 8

The article examines how the shift from human developers to autonomous agents as primary users of deployment platforms reshapes infrastructure demand, value distribution, and competitive dynamics, using Vercel’s growth data, Claude Opus 4.5 impact, and a four‑layer analysis of agent‑centric cloud design.

AI agentsAI economicsCloud Infrastructure
0 likes · 16 min read
When Agents Become Infrastructure Consumers – AI Supercycle Economics Part 8
Fighter's World
Fighter's World
Jun 28, 2026 · Industry Insights

Who Controls AI Application Cost Structure? Insights from the AI Supercycle Series

The article analyzes how inference costs dominate AI application economics, explains why pricing power lies with upstream model providers, examines Baseten's rapid growth, outlines three conditions that could shift cost control back to application companies, and highlights the sticky, asset‑heavy nature of inference infrastructure.

AI economicsBasetenCloud Computing
0 likes · 20 min read
Who Controls AI Application Cost Structure? Insights from the AI Supercycle Series
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 economicsEnterprise AIPost-Training
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 Infrastructurechip designheterogeneous DAG
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 InfrastructureAI economicsCloud Computing
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