Opus 4.5 Pricing and Token Efficiency

Brian and Andy hosted this pre Thanksgiving episode and opened with platform issues, live chat glitches, and holiday energy in the air. They talked through the growing instability of their streaming setup and then shifted into the day’s news. The episode touched on the chip wars, new optical computing breakthroughs, OpenAI’s cameo trademark fight, the launch of OpenAI’s shopping assistant, Google’s Notebook LM upgrades, and Anthropic’s surprise release of Opus 4.5. The show ended with Brian demoing his Gemini powered “Infinite Bard” project and discussing why Gemini has become his default model for creative work.

Key Points Discussed

Meta explores using Google TPUs, dropping Nvidia’s stock by about 4 percent

Researchers show an optical computing breakthrough that rivals GPU performance

Cameo wins a temporary restraining order blocking OpenAI from using the name Cameo

OpenAI launches a shopping assistant powered by a GPT 5 mini model

Notebook LM continues rapid improvement with Gemini 3, Nano Banana, and guided learning

Gemini excels in stability, fast prompting, large task reasoning, and tool building

Anthropic releases Opus 4.5 with superhuman coding performance on SWE Bench

Opus 4.5 introduces automatic context compression and major token efficiency gains

Pricing shows Opus remains expensive but far more efficient than earlier versions

Enterprise users may heavily benefit from reduced token usage in agent workflows

Brian demos his Gemini “Infinite Bard” choose your own adventure engine

Gemini’s use of silent markdown context files enables branching story continuity

Timestamps and Topics

00:00:00 👋 Opening, holiday week, platform issues

00:02:01 ⚙️ Meta explores using Google TPUs, Nvidia drops

03:07:00 💡 Optical computing breakthrough using single laser tensor processing

05:24:00 🔌 Chip efficiency and heat advantages of laser based systems

06:43:00 ⚖️ Cameo wins temporary restraining order against OpenAI

07:56:00 💬 Naming confusion across AI products

09:11:00 🛍️ OpenAI launches interactive shopping assistant

11:18:00 💻 Shopping UX walkthrough and first impressions

12:19:00 📝 Notebook LM’s rapid upgrades and visual generation improvements

14:01:00 🎧 Guided learning, audio overviews, and Notebook LM evolution

16:02:00 🛒 Shopping assistant reasoning and laptop recommendations

17:32:00 🧭 Shopping agents compared to Gen Spark and others

18:53:00 🔍 Search consolidation, OpenAI’s OS ambitions

20:04:00 🤖 Anthropic Opus 4.5 overview

20:59:00 🧪 Superhuman coding performance on Anthropic’s hiring exam

21:44:00 🧵 Context compression and unlimited conversation length

22:59:00 📊 Benchmark comparison against Gemini 3 and Codex Max

24:47:00 💰 Pricing for Opus, Sonnet, Haiku, and prompt caching

26:05:00 ⚙️ Opus 4.5 token efficiency improvements

27:27:00 🔄 Rate limits and concerns about Claude reliability

32:58:00 🌐 Brian explains why Gemini has become his default model

33:56:00 🎮 Demo of the Infinite Bard interactive storytelling gem

35:26:00 📚 Using Gemini as a rapid prototyping engine

37:21:00 🧩 Initial story branches and decision logic

40:57:00 🗂️ Silent markdown files for inventory and story continuity

44:51:00 🧠 Why Gemini excels at constrained creative generation

47:18:00 📐 Prompt building with XML tags and gem architecture

49:27:00 🧱 Using a prompt architect to build tools for tools

50:14:00 📆 Upcoming holiday week schedule

51:35:00 🏁 Closing and outro

The Daily AI Show Co Hosts: Brian Maucere and Andy Halliday