Deep Questions with Cal Newport
Deep Questions with Cal Newport

Ep 386: Was 2025 a Great or Terrible Year for AI? (w/ Ed Zitron)

January 5, 2026

AI Summary

5 min read

🎙️ The Voices & The Context

  • The Format: This interview between host Cal Newport and AI skeptic Ed Zitron methodically dissects 2025's AI headlines month-by-month, blending shoe-leather reporting with sharp critique to assess if the year advanced or stalled AI progress. Skeptical and revelatory, like two detectives unraveling a hype-fueled scam.
  • The Key Players:
    • Guest: Ed Zitron – Host of the Webby-winning Better Offline podcast and Where's Your Ed's At Substack; a relentless AI commentator who digs into earnings reports, leaks, and sources inside companies, exposing unprofitability and grift amid the hype.

🗝️ Key Themes & Topics

Hosts and guest chronicle AI's chaotic 2025 through monthly headlines, debunking myths of exponential progress while highlighting economic fragility, failed promises, and media complicity.

  • DeepSeek and Efficiency Shock (Jan): Chinese startup's cheap R1 model (trained for ~$5M vs. U.S. $100M+ giants) spooked markets, exposing U.S. firms' inefficiency and Nvidia dependency; dismissed via Sinophobia despite proving small models work.
  • Agents Hype and "Reasoning" Pivot (Jan-Mar): OpenAI's CPO sparked "2025 year of agents" frenzy (despite no verbatim quote); Sam Altman and Marc Benioff peddled digital labor myths ($2-5T value), but agents flopped as glorified chatbots needing endless compute.
  • **Scaling

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What you'll learn

  • 1 (00:00) **🎙️ Introduction: Ed Zitron**
  • 2 (03:20) **January: DeepSeek Launch & Agent Hype**
  • 3 (13:38) **January Agents Deep Dive**
  • 4 (28:16) **February: Model Releases (Gemini 2.0, GPT-4.5)**
  • 5 (33:52) **March: NVIDIA GTC & Jensen Huang**
  • 6 (40:48) **April: AI 2027 Scenario**
  • 7 (50:16) **AI Safety Figures (Hinton, Cocotti)**

+ Full timestamped outline available in the app

Show Notes

Ep 386: Was 2025 a Great or Terrible Year for AI? (w/ Ed Zitron) 

2025 was a year that was saturated in AI news, from Deep Seek, through claims of economic “bloodbaths,” to GPT-5, Sora, and Chatbot girlfriends. Frankly, it was exhausting. As we now look back on 2025 an interesting question arises: all in all, did this end up being a good or bad year for AI? To help me answer this question, I’m joined by hard-hitting AI commentator Ed Zitron, who's been everywhere in the media in recent months helping to make sense of the wild claims being thrown in the public’s direction. Together we go through the biggest AI stories of the year to try to make sense of what just happened. 

Below are the questions covered in today's episode (with their timestamps). Get your questions answered by Cal! Here’s the link: bit.ly/3U3sTvo

Video from today’s episode: youtube.com/calnewportmedia

INTERVIEW: Was 2025 a Great or Terrible Year for AI (w/ Ed Zitron) [3:16]

Cal Reacts to Comments: Is the Internet Becoming Television? [1:58:25]  

Links:
Buy Cal’s latest book, “Slow Productivity” at calnewport.com/slow
Get a signed copy of Cal’s “Slow Productivity” at peoplesbooktakoma.com/event/cal-newport/
Cal's monthly book directory: bramses.notion.site/059db2641def4a88988b4d2cee4657ba?
bbc.com/news/articles/c5yv5976z9po
axios.com/2025/01/23/davos-2025-ai-agents
blog.google/technology/google-deepmind/gemini-model-updates-february-2025/
openai.com/index/sora/
openai.com/index/introducing-gpt-4-5/
ai-2027.com/
fortune.com/2025/05/28/anthropic-ceo-warning-ai-job-loss/
media.mit.edu/publications/your-brain-on-chatgpt/
usatoday.com/story/tech/2025/08/07/chat-gpt-5-release-date-open-ai/85566627007/#:~:text=GPT%2D5%20release%20date,release%20date%20for%20Part%202
newyorker.com/culture/open-questions/what-if-ai-doesnt-get-much-better-than-this
Deep Questions with Cal Newport