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AI Terminal

Beta

LLM selection matrix, AI infra leaderboard, and production warnings β€” sourced from newsletters.

LLM Model Selection Matrix

ModelProviderScoreSpeed$/1M TokensContextBest ForType
Qwen3.5Alibabaβ€”β€”β€”β€”
Open
Composer 2Cursor72fast$2.50 output / $0.50 input (standard); $7.50 output / $1.50 input (fast mode)β€”
multi-file coding workflowsrefactoringdebugging
Closed

AI Infra Leaderboard

01MiniMax M2.7AI2Γ—
02Cursor Composer 2AI2Γ—
03Google AI StudioAI2Γ—
04LightfieldAI2Γ—
05Claude CodeAI2Γ—
06MegaETHInfrastructure2Γ—
07EthereumInfrastructure1Γ—
08AWSInfrastructure1Γ—
09MolmoPointAI1Γ—
10ShapeInfrastructure1Γ—
11Baidu OCRAI1Γ—
12OpenAIAI1Γ—

Open vs Closed Radar

Open Source (1)

●Qwen3.5

Closed Source (1)

●Composer 272pt

Agentic Architecture Playbooks

πŸ“‹

No AI playbooks extracted yet. Frameworks appear when newsletters teach agentic architectures.

🚨 Production Warnings

Composer 2Cursor
  • ⚠️fast mode is 3x more expensive than standard mode

What Authors Think

🟒TLDRBullish

How to use AI-generated code

Developers should stop reading AI output and instead steer it β€” treat AI as a fast typist executing your will, and if it doesn't work, just ask it to rewrite to your exact specifications.

πŸ”΄TLDRBearish

AI and cognitive labor

AI will eventually exceed human capability across most cognitive domains, making intelligence a commodity on tap and displacing cognitive labor at scale.

πŸ”΄TLDRBearish

AI commercialization and design ethics

The shift from academic AI research to rapid commercialization is a reckless arms race that puts designers in moral tension, as the tools they're pressured to use originate from systems designed to harm rather than help people.