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Models

Models

Weights, releases, and the race to scale

27 articles in this section.

Apple Intelligence On-Device AI Is Only One Worth Betting On
Models

Apple Intelligence On-Device AI Is Only One Worth Betting On

Apple went all-in on on-device AI with the iPhone 15, and it’s the most sensible approach they’ve taken to the technology — because it turns out the only thing that makes sense for AI right now is not doing it in the cloud. While everyone else was building larger models and bigge

· 3 min read

DeepSeek Open-Model Disruption Breaks AI Pricing
Models

DeepSeek Open-Model Disruption Breaks AI Pricing

DeepSeek just dropped R1, and it shattered more than just benchmarks – it shattered pricing models. A model that matches GPT-4 Turbo on most tasks, costs 98.5% less to train, and releases its weights under a permissive MIT license. For an industry that has been charging $30 per m

· 3 min read

GPT-5 vs Gemini: How the AI Models Compare
Models

GPT-5 vs Gemini: How the AI Models Compare

OpenAI dropped GPT-5 last week. Google dropped Gemini 2.5 shortly after. The internet decided to pick sides. Let us talk about what actually matters. On paper, GPT-5 looks better. Benchmarks are up. Context windows are wider. Coding performance is genuinely impressive. But benchm

· 3 min read