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10 articles tagged #OpenAI.
P.01OpenAI cut GPT-5.6 Luna's API price 80% and Terra's 20% on July 30, three weeks after launch. Here's what moved, why it moved that fast, and how to decide whether to switch tiers instead of just enjoying a smaller bill.
P.02OpenAI launched Presence on July 22, 2026, a platform for deploying voice and chat AI agents with access controls, simulation testing, and Codex-driven improvement loops. Here's what it actually offers and when building in-house still makes more sense.
P.03OpenAI shipped gpt-realtime-2.1 and a mini variant with 25% lower latency and reasoning-and-tool-use support at the low end. Here's what changed, what it costs, and when to pick the mini model over the flagship.
P.04Models that think before they answer are reshaping AI engineering. We break down how extended thinking, reasoning budgets, and chain-of-thought inference work across Claude, OpenAI o3, Gemini, and DeepSeek-R1 — and when you should actually use them.
P.05Anthropic spent millions on Super Bowl commercials pledging Claude will remain ad-free forever, taking direct aim at OpenAI's ad-supported ChatGPT model. A business model war is brewing.
P.06OpenAI is retiring GPT-4o, GPT-4.1, GPT-4.1 mini, and o4-mini from ChatGPT on February 13, 2026. Only 0.1% of users still choose GPT-4o daily, but the model's retirement marks the end of the GPT-4 generation.
P.07EditorPickMeta plans $135B in AI spending, OpenAI eyes a historic IPO, Amazon bets $50B, and a stealth startup raises $480M at seed. The 2026 AI investment frenzy is rewriting the rules of tech competition.
P.08Understanding the AI infrastructure landscape in 2026 - from xAI's massive data centers to the chip supply chain. Learn how infrastructure decisions affect API pricing, latency, and your development choices.
P.09EditorPickA comprehensive guide to building production-ready AI applications in 2026. Compare GPT-4.5, Claude Opus 4.5, and Gemini 2.0, learn best practices for prompt engineering, and optimize costs.
P.10Meta Compute, OpenAI's 750MW deal, and a projected $3 trillion investment in AI infrastructure. The biggest story in tech isn't about models—it's about who controls the compute.