TLDR AI
GPT-5.6 Thursday ⭐️, Claude Cowork mobile 📱, Gemini API agents 🤖
GPT-5.6 Thursday ⭐️, Claude Cowork mobile 📱, Gemini API agents 🤖 (TLDR AI) — read the full story for details.
AgentVet Weekly — July 13, 2026
July 13, 2026
From the founderThe story this week isn't really about GPT-5.6's three-tier naming scheme or Claude going mobile — it's about infrastructure catching up to ambition. When a cloud provider's CTO is reframing their entire product around 'Agent Experience,' and OpenAI is tiering models by cost and capability specifically to fit agent pipelines, the underlying message is the same: the people building the picks and shovels have decided agentic workloads are the permanent workload, not a niche. That shift in supplier conviction is worth more attention than any individual benchmark.
Simon Willison
The new GPT-5.6 family: Luna, Terra, Sol
OpenAI's latest flagship model hit general availability this morning , and comes in three sizes: Luna, Terra, and Sol (from smallest to largest). The new models are priced per 1M input/output tokens as Luna $1/$6, Terra $2.
Latent Space
[AINews] OpenAI launches GPT 5.6 Sol/Terra/Luna, Codex becomes ChatGPT superapp
[AINews] OpenAI launches GPT 5.6 Sol/Terra/Luna, Codex becomes ChatGPT superapp (Latent Space) — read the full story for details.
TLDR AI
Anthropic J-space research 🧠, Apple + Broadcom ⚡, continual agent learning 🤖
Anthropic J-space research 🧠, Apple + Broadcom ⚡, continual agent learning 🤖 (TLDR AI) — read the full story for details.
Latent Space
Why AI Infrastructure must evolve for Agent Experience — Akshat Bubna, Modal CTO
Modal CTO Akshat Bubna argues that cloud infrastructure needs a ground-up rethink to serve agent workloads — specifically around latency, stateful execution, and the cost profile of many short bursty calls versus long batch jobs. Two years of building what he calls an 'agent cloud' gives this more weight than typical vendor positioning; the lessons are concrete and relevant to anyone choosing or building execution infrastructure for agents. If you're evaluating where to run agents in production, this is required listening.
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