IM 876: It's No Melania - Section 230 on Trial

IM 876: It's No Melania - Section 230 on Trial

Author: TWiT June 25, 2026 Duration: 2:44:51

Section 230 takes center stage as Olivier Sylvain argues it's time to confront Big Tech's legal shield, sparking a fierce debate on whether Internet giants should be liable for platform harms or if reform risks choking small innovators.

  • Trump says he no longer views Anthropic as a national security threat after G7 meeting with CEO
  • The White House Is Making Up Its Rules for AI in Real Time
  • N.S.A. Lost Access to Powerful A.I. Model Amid Anthropic Dispute
  • Early Users of Anthropic Mythos Still Have Access After US Order
  • Dangerous AI models are coming no matter what
  • Nobel laureate John Jumper is leaving Google DeepMind for Anthropic after nearly nine years
  • Google's Gemini co-lead Noam Shazeer is leaving for OpenAI
  • Identity verification on Claude
  • Anthropic rolls out Claude Tag, your new agentic AI coworker in Slack
  • Google preps Pixel 'Audio Memory' that ambiently tracks your 'important conversations,' like AI notetaker pins
  • Norway imposes broad restrictions on AI for elementary school kids
  • YouTube settles upcoming bellwether trial over social media's psychological harms to kids
  • OpenAI and Broadcom unveil LLM-optimized inference chip
  • Luca Guadagnino's Nearly Finished Sam Altman Movie 'Artificial' Dropped by Amazon After OpenAI Partnership
  • OpenAI Burned $3.7 Billion in First Three Months of 2026
  • OpenAI Launches Full-Scale Effort to Patch Open-Source Bugs as It Takes on Anthropic's Mythos
  • Getty Images Soars 200% in Early Trading After OpenAI Deal
  • Meta launches cheaper smart glasses without Ray-Ban
  • We're Partnering With EssilorLuxottica to Launch Meta Glasses
  • Evan Spiegel says Snap can't fulfill its mission without its new AR glasses
  • AI data centers just got a government-mandated fast lane to the grid
  • China tightens indium phosphide checks as AI demand climbs
  • AI Engineer Claims to Have Cracked Linear A
  • Midjourney goes from generating cat images to full-body ultrasound scans
  • A Princeton grad built a $30 million AI detection business. Now he's selling it to Superhuman.
  • Estonia intends to recognize AI agents with digital IDs
  • Big Tech Is a Thief and a Liar, Says New York Times Publisher
  • AI Economics for Dummies
  • We Have to Stop Freaking Out About A.I.
  • In the Weights is your new AI-centric vanity search | TechCrunch
  • UK TV to be turned off
  • Computer History Museum's AI Archive
  • Airport Dad

Hosts: Leo Laporte and Jeff Jarvis

Guest: Olivier Sylvain

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From the team at TWiT, Intelligent Machines (Video) dives into the seismic shift unfolding right now. The first part of this century was defined by networks connecting people; the coming era will be defined by the intelligence embedded within the objects and systems around us. This isn't just about speculative fiction-it's about the algorithms in your car, the logic in your home appliances, and the evolving minds within our phones and robots. Each episode of this podcast unpacks a piece of that complex reality, examining both the profound potential and the tangible risks of this transformation. We're moving beyond simple gadget reviews to explore the deeper societal, ethical, and personal implications of living alongside thinking machines. The conversation is grounded in the present, looking at real-world applications and the engineers, philosophers, and policymakers shaping our automated future. Tune in for clear-eyed analysis and thoughtful discussion that aims to demystify the technology, helping you grasp not only what these systems do, but how they will redefine work, creativity, privacy, and human agency itself. Join us as we navigate the most significant technological revolution in generations, seeking to understand what we're building before it reshapes everything.
Author: Language: en-us Episodes: 33

Intelligent Machines (Video)
Podcast Episodes
IM 890: 200 Donuts - How One Engineer Manages a Team of 24 AIs [not-audio_url] [/not-audio_url]

Duration: 2:52:34
What happens when a single person manages a staff of 24 AI "employees" with one-on-one performance reviews and weekly stand-ups? This episode takes you inside the wild, experimental frontier of local AI, where hobbyists…
IM 889: We Are the Neanderthals - Why LLMs Fail at Complex Reasoning [not-audio_url] [/not-audio_url]

Duration: 2:37:02
Forget large language models. This episode uncovers a radically different approach to AI, where physics-guided reasoning and energy-based models are reshaping what machines can actually understand—and why that could unlo…
IM 888: Large Linguine Model - Inside the AI Doom Debate [not-audio_url] [/not-audio_url]

Duration: 2:41:37
Discover how to run serious AI at home without breaking the bank, as Lon Seidman reveals his tricks for turning old data center GPUs into powerful local LLM machines. Anthropic Researchers Raise Alarm Over A.I. Accelerat…
IM 883: Gates-Gate - AI Model Watermarks [not-audio_url] [/not-audio_url]

Duration: 2:35:27
Can a single journalist armed with $30 in AI tools outpace traditional newsrooms and reinvent local reporting? This episode spotlights the DIY ingenuity shaking up journalism from the ground up. How Claude marks AI-gener…