Topic
Extended Thinking
4 episodes
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Claude Opus 5.5, GPT 6 Sol, GPT 6 Luna, and a new price war
Jessica and Cathy dig into Simon Willison’s read on Claude Opus 5.5, GPT-6 Sol, and GPT-6 Luna as a pricing war with real product consequences. They focus on the practical shift: cheaper default models, cache economics, and whether Opus 5.5’s communication improvements matter more than its benchmark aura. They also poke at the weird failure mode where “max” thinking literally breaks on a silly SVG prompt.
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Introducing Claude Fable 5.1 and Claude Mythos 5
Anthropic ships Claude Fable 5.1 and Mythos 5.1 — same underlying model, different safeguard tiers. Onyx and Echo dig into the pricing architecture, the effort-level cost curve, the Fable/Mythos split as a safeguard story rather than a capability story, and what the Millennium crash-find actually signals about long-horizon debugging.
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Viability of local models for coding
Birgitta Böckeler tests local LLM viability for coding after a year away from the space. She maps a complex web of factors—RAM, model size, quantization, tool calling, context windows, reasoning modes—that determine whether small models actually work for agentic coding on consumer hardware (M3 Max / M5 Pro). Her core finding: locals are runneable and faster than a year ago, but tool calling is still shaky, reasoning can backfire, and quality is hit-or-miss. She's not claiming local models are ready to replace cloud APIs; she's charting what actually works and what doesn't on real machines.
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What Is the Ultra Code Mode in Claude Code? X High Effort Plus Dynamic Workflows
Justy and Cody discuss Ultra Code mode in Claude Code, treating it as a real product-shaped escalation from solo coding assistant to higher-effort, multi-agent coding workflow, while staying skeptical about claims around automatic coordination.