Gemini 3.1 Pro, Claude Sonnet 4.6 & The OpenClaw Hire That Killed the Chatbot Era - EP99.35

200 snips

Feb 20, 2026

They dissect two new models, Gemini 3.1 Pro and Claude Sonnet 4.6, and why one lost trust due to tunnel-vision hallucinations. They debate speed versus intelligence for agentic workflows and argue smaller sub-agents can beat huge context windows. They question OpenAI buying OpenClaw instead of building it and critique token pricing and the rising costs of massive-context models.

Ask episode

AI Snips

Chapters

Transcript

Episode notes

INSIGHT

Medium Thinking Mode Balances Speed

Gemini 3.1 Pro adds a medium thinking mode to balance speed and quality in agentic tasks.
Medium auto-switching can reduce latency while giving the model discretion to think more when needed.

ADVICE

Use Adaptive Thinking To Iterate Faster

Prefer models that adapt thinking depth to tasks instead of always using max mode to avoid long waits.
Use auto or medium settings to iterate faster when running many agentic loops.

ANECDOTE

Forgetting Within A Single Prompt Killed Gemini 3

Chris abandoned Gemini 3 after it repeatedly 'forgot' the task mid-prompt and diverged.
He now rarely uses that lineage because it became unreliable for continuous work.

Get the Snipd Podcast app to discover more snips from this episode

Get the app

Join Simtheory: https://simtheory.ai
"Is This The End" now on Spotify: https://open.spotify.com/album/2Py1MyADUFqJFVUISI2VTP?si=oT3PWyJYRA2BspOmzT_ifg
Register for the STILL RELEVANT tour: https://simulationtheory.ai/16c0dationtheory.ai/16c0d1db-a8d0-4ac9-bae3-d25074589a80

Two new models dropped this week — Gemini 3.1 Pro and Claude Sonnet 4.6 — and honestly? We're struggling to care. In this episode, we break down why Gemini went from being our daily driver to a model we barely touch, the "tunnel vision" hallucination problem that killed the Gemini 3 series for us, and whether 3.1 Pro actually fixes it. We put Gemini 3.1 Pro head-to-head against Claude Opus building a Geoffrey Hinton Doom Center, debate whether anyone can actually tell the difference between Sonnet 4.5 and 4.6, and make the case that smaller models running in agentic loops are secretly beating the frontiers. Plus: OpenAI acquires OpenClaw and we ask why a $100B company couldn't just build it themselves, DHH calls out the AI pricing bubble, Mike compares AI models to cheap wine hangovers, and Sam Altman refuses to hold Dario's hand at the India AI Summit. The model wars are getting weird.

CHAPTERS:

0:00 Intro & "Is This The End" Now on Spotify
1:10 Gemini 3.1 Pro: Thinking Controls & The Medium Mode Fix
3:14 The Speed vs Intelligence Trade-Off in Agentic Work
5:10 Why Multitasking With AI Agents Made Us Anxious
6:34 Solid Updates: The Real Goal of Agentic Coding
7:45 Gemini's Fall From Grace: From Daily Driver to Dead Model
10:08 The Tunnel Vision Problem That Killed Gemini 3
13:35 Mixed Reactions: Fanboys vs Reality on Gemini 3.1 Pro
15:06 Side-by-Side Test: Gemini 3.1 Pro vs Claude Opus (Hinton Doom Center)
17:39 Why File Manipulation Accuracy Matters More Than Context Windows
19:27 The Context Window Debate: 1M Tokens vs Smart Sub-Agents
22:05 DHH on Token Pricing: "If There's a Bubble, It's This"
24:11 Should Models Ship as Agent vs Chat Variants?
28:43 Claude Sonnet 4.6: A $2 Discount on Opus?
31:44 The Model Mix: Why One Model Won't Rule Them All
34:40 Anthropic Is Winning — But Can Anyone Tell the Difference?
38:58 OpenAI Acquires OpenClaw: Why Couldn't They Just Build It?
44:18 The Silicon Valley Moment: Sam vs Dario at India AI Summit
47:05 Will Smaller Models Win the Enterprise? The Cost Reality Check
51:27 The End of Single-Shot: Why Agentic Loops Change Everything
55:48 Final Thoughts & Gemini 3.1 Pro Gets One More Week

Thanks for listening. Like & Sub. Links above for the Still Relevant Tour signup and Simtheory. Two models dropped on a week again. What a time to be alive. xoxo