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Podcast host discussing Anthropic's Opus 4.6 agent teams and OpenAI's GPT-5.3 Codex, highlighting AI coding rivalry. [podscan

Editorial illustration for LWiAI Podcast #234 covers Anthropic's Opus 4.6 agent teams and OpenAI's GPT‑5.3‑C

AI Rivals Clash: Opus 4.6 vs GPT-5.3 Codex Battle

LWiAI Podcast #234 covers Anthropic's Opus 4.6 agent teams and OpenAI's GPT‑5.3‑C

3 min read

The latest LWiAI Podcast, episode #234, dives deep into the most recent model rollouts that have the AI community buzzing. Anthropic’s Opus 4.6 arrives with a fresh “agent teams” feature, while OpenAI pushes its GPT‑5.3‑Codex claim of a 25 percent speed boost and broader coding capabilities. Listeners also get a glimpse of Seedance 2.0 and GLM‑5, all squeezed into a single, fast‑moving session.

The hosts kick off with a quick banter before fielding audience questions, then shift gears to dissect the tools and apps that underpin today’s generative wave. By the three‑minute mark the conversation zeroes in on the Opus release, and just after eight minutes the spotlight turns to OpenAI’s latest codex upgrade. The episode wraps up with a preview of what’s next from OpenAI.

Below, the timestamps break down each segment so you can jump straight to the part that matters most.

(00:00:10) Intro / Banter (00:02:05) Response to listener comments Tools & Apps (00:03:59) Anthropic releases Opus 4.6 with new 'agent teams' | TechCrunch (00:08:00) OpenAI's new GPT-5.3-Codex is 25% faster and goes way beyond coding now - what's new | ZDNET (00:22:02) OpenAI launches ne

Timestamps: (00:00:10) Intro / Banter (00:02:05) Response to listener comments Tools & Apps (00:03:59) Anthropic releases Opus 4.6 with new 'agent teams' | TechCrunch (00:08:00) OpenAI's new GPT-5.3-Codex is 25% faster and goes way beyond coding now - what's new | ZDNET (00:22:02) OpenAI launches new macOS app for agentic coding | TechCrunch (00:23:10) Google Unveils Gemini 3 Deep Think for Science & Engineering | The Tech Buzz (00:27:58) ByteDance's Seedance 2.0 Might be the Best AI Video Generator Yet - TechEBlog (00:39:43) Cursor launches Composer 1.5 with upgrades for complex tasks (00:40:35) xAI launches Grok Imagine API for text and image to video Applications & Business (00:42:19) Nvidia-backed AI voice startups ElevenLabs hits $11 billion valuation (00:48:36) AI video startup Runway raises $315M at $5.3B valuation, eyes more capable world models | TechCrunch (00:50:34) Humanoid robot startup Apptronik has now raised $935M at a $5B+ valuation | TechCrunch (00:53:42) Anthropic says 'Claude will remain ad-free,' unlike an unnamed rival | The Verge (00:56:50) Okay, now exactly half of xAI's founding team has left the company | TechCrunch (01:00:35) Waymo's next-gen robotaxi is ready for passengers -- and also 'high-volume production' | The Verge Projects & Open Source (01:01:31) Qwen3-Coder-Next: Pushing Small Hybrid Models on Agentic Coding (01:05:10) OpenClaw's AI 'skill' extensions are a security nightmare | The Verge Research & Advancements (01:07:12) Learning to Reason in 13 Parameters (01:12:33) Reinforcement World Model Learning for LLM-based Agents (01:16:32) Opus 4.6 on Vending-Bench - Not Just a Helpful Assistant Policy & Safety (01:19:00) METR GPT-5.2 (01:23:31) The Hot Mess of AI: How Does Misalignment Scale with Model Intelligence and Task Complexity?

Anthropic's Opus 4.6 arrives with a one‑million token context window and a new “agent teams” feature. OpenAI counters with GPT‑5.3 Codex, touting a 25 % speed boost and broader capabilities beyond coding, while Cerebras promises a faster Codex Spark. Google’s Gemini 3 Deep Think posts notable jumps on ARC‑AGI‑2 and other benchmarks, though the details remain sparse.

Seedance 2.0 and GLM‑5 also made the round, adding further variety to the week’s releases. Listeners heard these updates alongside host commentary and responses to audience questions. The podcast’s timestamps guide navigation, from the opening banter at ten seconds to the deeper dive on OpenAI’s launch past the twenty‑two‑minute mark.

Whether the expanded context windows and agent‑team architectures will translate into measurable performance gains is still unclear. Likewise, the practical impact of faster inference on real‑world applications has yet to be demonstrated. As the hosts remind us, the AI field moves quickly, and today’s headlines may evolve as developers put these models to the test.

Further Reading

Common Questions Answered

What makes OpenAI's GPT-5.3-Codex unique in terms of its development process?

OpenAI claims GPT-5.3-Codex is their first model that was 'instrumental in creating itself', meaning early versions of the model were used to debug training, manage deployment, and analyze evaluation results. The model reportedly helped identify context-rendering issues, investigate caching problems, and dynamically scale GPU capacity during its own development process.

How does GPT-5.3-Codex improve upon previous coding models in terms of performance?

The model offers significant improvements, including being 25% faster and using less than half the tokens of its predecessor for the same tasks. It demonstrates stronger coding benchmarks across terminal tasks, computer use, and freelance-style coding challenges, with adaptive thinking that adjusts reasoning depth based on task complexity.

What are the key availability details for GPT-5.3-Codex?

GPT-5.3-Codex is immediately available to all paid ChatGPT users through the Codex app, command-line interface, and IDE extensions. However, API access is not yet launched and is described by OpenAI as 'coming soon', indicating a phased rollout of the new model.