Opus
Anthropic's top-of-the-line, most intelligent model.
What podcasters actually say about Opus.
26 mentions, no marketing. Save them all to a pod and ask any question.
Common Themes
Videos Mentioning Opus
This World Does Not Exist — Joscha Bach, Karan Malhotra, Rob Haisfield (WorldSim, WebSim, Liquid AI)
Latent Space
An AI model, likely from Anthropic, mentioned for its ability to handle more complexity compared to Sonnet or Haiku.
India’s Fastest Growing AI Startup
Y Combinator
A new class of AI model enabling extremely long horizon tasks and coordination between multiple agents.
AI Dev 25 x NYC | Tanveer Mittal, Utkarsh Lamba: Building with the Claude Agent SDK
DeepLearningAI
Anthropic's top-of-the-line, most intelligent model.
The Future of Claude Code: Mods, Mutable Software, & Multiplayer Agents — Thariq Shihipar, Anthropic
Latent Space
An AI model, specifically Opus 4 and Opus 4.5, mentioned as being impressive and a significant step forward in AI capabilities, becoming more cost-effective over time.
High Taste Testers: OpenAI Shipped Everything. What Actually Works?
Latent Space
A model series from Anthropic, discussed for its 'soul' and writing capabilities, with Opus 5.5 being a recent improvement. Also used as a benchmark for other models.
Using Agents for Long-Horizon Financial Work — Aman Singh, Arca
Latent Space
A model tier used by Arca for complex tasks like tax analysis.
Building Legal Agents When You Can't See the Data — Jacob Lauritzen, CTO of Legora
Latent Space
A model available in Legora's agent, mentioned in the context of model selection and experimentation.
⚡️ The 2026 Software Factory Infra Stack — Zach Lloyd, Warp.dev
Latent Space
A model previously used by Warp.dev that contributed to high PR costs, illustrating the need for optimization.
![[One Million AI Engineer Special] How Stanford Teaches AI-Native Engineering — Mihail Eric, Monaco](https://i.ytimg.com/vi/dpY7YzZo4kE/maxresdefault.jpg)
[One Million AI Engineer Special] How Stanford Teaches AI-Native Engineering — Mihail Eric, Monaco
Latent Space
A powerful AI model that significantly advanced the capabilities of autonomous agents and influenced curriculum changes.
Stanford CS193T Thinking with AI | Autumn 2026 | Introduction to AI
Stanford Online
A model that can be used for comparison in the assignment to test how well it adheres to given limitations.
I've spent 5 BILLION tokens perfecting OpenClaw...
Matthew Berman
A language model, specifically mentioned as Opus 4.6, used by OpenClaw for various tasks. The speaker notes its specific prompting requirements.
How The Internet’s Favourite AI Employee Went Rogue
ColdFusion
A more expensive LLM model mentioned in the context of high costs associated with running OpenClaw.
Claude Mythos: Highlights from 244-page Release
AI Explained
An AI model from Anthropic that Claude Mythos significantly outperforms, a key product contributing to the company's revenue.
Anthropic’s $30B Ramp, Mythos Doomsday, OpenClaw Ankled, Iran War Ceasefire, Israel's Influence
All-In Podcast
A model that could potentially be used by sophisticated hackers to find similar vulnerabilities without needing Mythos.
OpenAI's Identity Crisis, Datacenter Wars, Market Up on Iran News, Mamdani's First Tax, Swalwell Out
All-In Podcast
Anthropic's new model, noted for its rapid release cadence and supplanting other models like Cursor and Gemini in usage.
How Anthropic’s product team moves faster than anyone else | Cat Wu (Head of Product, Claude Code)
Lenny's Podcast
A version of Anthropic's models (Opus 45 and 46) that enabled advanced code review capabilities.
Replit's CEO On The Only Two Jobs Left In The Company Of The Future
Y Combinator
An AI model mentioned in relation to autonomous revolutions and enhanced reasoning capabilities, influencing Replit's agent development.
AI era skills: Why cultivating agency matters more than job titles | Max Schoening (Notion)
Lenny's Podcast
An Anthropic model variant mentioned in the context of fast inference costs.
AI Dev 26 x SF | Jeff Huber: Everything You Need to Know About Agentic Search
DeepLearningAI
A language model from Anthropic, mentioned as a benchmark for performance and speed (40 tokens/sec) compared to Chroma's Context One.
AI Dev 26 x SF | Barun Singh & Kennith Jackson; The Hidden Cost of AI Velocity and AI Agents
DeepLearningAI
An AI model that was part of an experiment to solve bugs in a codebase, taking 10 minutes to find a solution.
AI Dev 26 x SF | Ara Khan: Evals Are Broken Use Them Anyway
DeepLearningAI
An AI model mentioned in the context of beating Cloud Code in evals after iterative improvements.
Anthropic's Digital God, Pope vs AI, Job Loss Narrative Flips, Open Source Crackdown Coming?
All-In Podcast
An AI model that performed indistinguishably from GPT55 and Sonnet in financial analyst evaluations, suggesting convergence.
Stanford MS&E435 Economics of the AI Supercycle | Spring 2026 | Applications, Applied AI
Stanford Online
A term used to refer to advanced language models, possibly in comparison to GPT, highlighting the rapid development in the field and the considerations for using post-trained models.
AI Security After Codex and Claude Code — Zico Kolter & Matt Fredrikson, Gray Swan
Latent Space
A state-of-the-art frontier model mentioned as an example that might fall for certain deceptive tactics that humans would avoid.