Try for free
This Day in AI Podcast
This Day in AI Podcast

Claude 4.5 Opus Shocks, The State of AI in 2025, Fara-7B & MCP-UI | EP99.26

28 November 2025 1:45:05 Michael Sharkey, Chris Sharkey

Listen to episode

About this episode

Join Simtheory: https://simtheory.ai (Use coupon BLACKFRIDAY15 for $15 USD off any subscription).
----
Simtheory Discord: https://discord.gg/Ar6GeQnAR7
This Day in AI Discord: https://discord.gg/TVYH3HD6qs
LinkedIn Group: https://www.linkedin.com/groups/16562039/
Spotify: https://open.spotify.com/artist/28PU4ypB18QZTotml8tMDq?si=FPaJU2NRSnOSNPmnsfwA_g
---
CHAPTERS:
00:00 Intro & Fatal Patricia Update
01:40 Promotions (Discord, Black Friday, LinkedIn)
04:36 Claude 4.5 Opus - Best Anthropic Model Ever?
31:17 Computer Use API Updates
36:14 Will AI Replace 57% of Jobs? (McKinsey Report)
1:00:52 Claude 4.5 Opus Demos (Christmas Hut & Diss Track Preview)
1:07:13 Microsoft Farah 7B - Moose Porn Refusals
1:21:51 Why ChatGPT's MCP-UI Apps Are a Bad Idea
1:42:01 🎵 Claude 4.5 Opus Diss Track (Full Song)
---
Thanks for listening. Like & Sub. xoxox

Anthropic just dropped Claude 4.5 Opus and it might be the best AI model of 2024. In this episode, we compare Claude 4.5 Opus vs Gemini 3 Pro vs GPT-5.1, breaking down the new API features including effort parameters, context management, and computer use updates. We also test Microsoft's new Farah 7B parameter model for computer use - with hilarious refusal results. Plus, we react to McKinsey's controversial report claiming AI agents could automate 57% of US jobs by 2030. 

We dive deep into Anthropic's pricing (3x cheaper than Opus 4.1), why Claude is now beating Google and OpenAI on agentic coding benchmarks, and whether MCP-UI apps in ChatGPT are a step backwards for AI workflows. Is Claude 4.5 Opus the new king of AI coding assistants? Should enterprises be worried about AI job replacement? And why did Microsoft's Farah model refuse to draw a moose? All this plus an AI-generated diss track roasting Sam Altman, Elon Musk, and Sundar Pichai.

More AI podcast episodes

Browse all →

Want to find AI jobs?

Join thousands of AI professionals finding their next opportunity

We respect your inbox. Unsubscribe at any time.

© 2026 This Day in AI Podcast. All rights reserved.

Common Questions

Frequently asked questions

Quick answers about how DevFound's AI matching, resumes, and referrals work.

DevFound's AI Copilot ingests your profile, goals, and live job data to deliver curated matches in seconds. Every match includes a resume variant, suggested referrals, and interview prep so you can act immediately. The more feedback you provide, the sharper the Copilot becomes.

AI-led job searches shrink the hours spent sifting through boards and formatting resumes. DevFound pairs automation with your personal outreach, so you reserve energy for interviews and negotiation. Traditional networking still matters, but AI gives you a lift before you even send a message.

Modern AI roles expect comfort with production-grade code, data fluency, and practical ML tooling. The strongest candidates pair deep technical chops with storytelling—translating model impact to product, GTM, and exec partners. Continuous learning keeps you ahead as stacks evolve.

DevFound rewards active seekers. Keep your profile fresh, respond to match quality prompts, and enable alerts so you never miss a role. The AI prioritizes companies and teams that align with your feedback, accelerating both introductions and interview invites.

High-density tech hubs continue to host the deepest AI talent pools, yet distributed teams are catching up fast. Use DevFound filters to hone in on onsite, hybrid, or fully remote roles and watch openings expand across time zones.

DevFound aggregates thousands of remote AI openings and flags the nuances—core hours, async culture, and visa needs—up front. The Copilot also recommends how to position your distributed work experience so hiring managers know you can thrive on a remote team.

Still have questions?

Contact Support