AI Inside

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Jason Howell and Jeff Jarvis cover OpenAI shutting down Sora without warning, Disney's billion dollar deal evaporating with it, Claude gaining the ability to control your computer, ARM entering the chip market with Meta, and a federal judge calling the Pentagon's Anthropic ban an attempt to cripple the company.

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0:00:00 - Start

0:01:08 - OpenAI Scraps Sora Video Platform Months After Launch

0:02:58 - OpenAI Will Shut Down Sora Video App; Disney Drops Plans for $1 Billion Investment

0:08:08 - OpenAI’s plans to make ChatGPT more like Amazon aren’t going so well

0:17:40 - @edzitron: This is something a company does when things are going well

0:18:07 - OpenAI to create desktop super app, combining ChatGPT app, browser and Codex app

0:19:56 - OpenAI bets on Altman-backed fusion startup

0:26:24 - Claude Code and Cowork can now use your computer

0:37:25 - Arm is releasing the first in-house chip in its 35-year history

0:41:19 - Trump administration unveils national AI policy framework to limit state power

0:49:00 - Google confirms AI headline rewrites test in Search results

0:54:52 - U.S. Government’s Ban on Anthropic Looks Like Punishment, Judge Says

0:56:06 - Apple sets June date for WWDC 2026, teasing ‘AI advancements’

0:57:39 - Meta is secretly working on an AI detection tool after unleashing AI slop avalanche

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Join Jason Howell and Jeff Jarvis as they cover Nvidia's GTC expo and its trillion dollar AI chip ambitions, Meta's latest round of layoffs and its fading Metaverse, OpenAI acquiring Astral to sharpen its coding focus, and whether an AI resurrection of Val Kilmer for an indie film crosses any lines.

Intelligence — AI and Humanity: https://medium.com/whither-news/intelligence-ai-and-humanity-d8c5d6cda6ef

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0:00:00 - Start

0:04:20 - Nvidia Makes Trillion-Dollar Forecast at Annual Product Expo

0:07:26 - Nvidia Puts Groq LPU, Vera CPU And Bluefield-4 DPU Into New Data Center Racks

0:09:13 - Nvidia’s NemoClaw is OpenClaw with guardrails

0:10:19 - sama: "We see a future where intelligence is a utility, like electricity or water, and people buy it from us on a meter.”

0:20:56 - Nvidia's new DLSS 5 Brings Photo-Realistic Lighting To RTX 50-Series

0:22:51 - DLSS 5 clearly overwrites game characters with AI beauty standards, but Nvidia says devs have 'artistic control'

0:30:46 - Exclusive: Meta planning sweeping layoffs as AI costs mount

0:34:37 - Meta Delays Rollout of New A.I. Model After Performance Concerns

0:42:37 - OpenAI to Cut Back on Side Projects in Push to ‘Nail’ Core Business

0:49:46 - Val Kilmer Resurrected by AI to Star in ‘As Deep as the Grave’ Movie — First Look (EXCLUSIVE)

0:56:45 - Encyclopedia Britannica sues OpenAI over AI training

1:01:10 - Google’s Personal Intelligence feature is expanding to all US users

1:02:14 - You can now ask Google Maps ‘complex, real-world questions’ — and Gemini will answer

1:03:47 - Introducing “vibe design” with Stitch

1:04:31 - OpenAI's GPT-5.4 mini and nano launch - with near flagship performance at much lower cost

1:04:57 - Court temporarily allows Perplexity AI shopping 'agents' on Amazon

1:05:42 - Anthropic’s Claude AI can respond with charts, diagrams, and other visuals now

1:06:48 - Microsoft’s New AI Health Tool Can Read Your Medical Records and Give Advice

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Jason Howell and Jeff Jarvis invite Mike Elgan to dig into Yann LeCun's billion-dollar world models startup, Anthropic's federal lawsuit against the Department of Defense, Meta's acquisition of Moltbook and whether its AI agents were ever real, and new research on whether AI is causing worker burnout instead of relieving it.

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CHAPTERS:

0:00:00 - Start

0:01:44 - Ex-Meta AI chief Yann LeCun's AMI raises $1.03 billion for alternative AI approach

0:07:49 - AMI page with mission

0:17:55 - Anthropic Sues Department of Defense Over Supply-Chain-Risk Designation

0:21:56 - OpenAI and Google Workers File Amicus Brief in Support of Anthropic Against the US Government

0:25:51 - time cover

0:32:16 - Exclusive: Meta hires duo behind Moltbook

0:33:29 - No, the Singularity Hasn’t Arrived: The Truth About Moltbook

0:47:57 - Nvidia plans open-source AI agent platform ‘NemoClaw’ for enterprises

0:49:59 - Copilot Cowork: A new way of getting work done

0:51:38 - When Using AI Leads to “Brain Fry”

1:02:58 - Amazon Wins Court Order Blocking Perplexity’s AI Shopping Bots

1:03:56 - Judge blocks Perplexity’s AI bot from shopping on Amazon in early test of agentic commerce

1:08:31 - Google rolls out new Gemini capabilities to Docs, Sheets, Slides, and Drive

1:09:54 - Grammarly will keep using authors’ identities without permission unless they opt out

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Jason Howell and Jeff Jarvis unpack the Pentagon's fallout with Anthropic over military AI, OpenAI's rushed deal to replace them, Block cutting 40% of staff, blaming AI, Perplexity launching a multi-agent computer system, a whistleblower exposing Meta smart glasses privacy issues, and the Supreme Court rejecting AI copyright claims.

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CHAPTERS:

0:00:00 - Start

0:01:59 - A ‘Fight About Vibes’ Drove the Pentagon’s Breakup with Anthropic

0:05:34 - OpenAI amends Pentagon deal as Sam Altman admits it looks ‘sloppy’

0:05:34 - SAMA's prevaricating, planicked posts

0:12:33 - Anthropic Nears $20 Billion Revenue Run Rate Amid Pentagon Feud

0:28:04 - Jack Dorsey’s Latest Far-Out Bet: An AI Future With Fewer Employees

0:28:36 - Jack Dorsey’s Block to Lay Off 40% of Its Workforce in AI Remake

0:30:16 - The Week the Dreaded AI Jobs Wipeout Got Real

0:31:20 - Tech Has Never Caused a Job Apocalypse. Don’t Bet on It Now.

0:37:21 - Perplexity announces “Computer,” an AI agent that assigns work to other AI agents

0:39:16 - Perplexity’s new Computer is another bet that users need many AI models

0:40:55 - Investigation: Sama data annotators in Nairobi say they often view private footage from Meta's Ray-Ban glasses, like bathroom visits; some footage is blurred

0:48:02 - Restaurant uses AI to make salty otter logo; gets slammed

0:50:15 - Burger King will use AI to check if employees say ‘please’ and ‘thank you’

0:54:22 - The Supreme Court doesn't care if you want to copyright your AI-generated art

0:59:58 - Nano Banana 2: Combining Pro capabilities with lightning-fast speed

1:03:16 - Gemini 3.1 Flash-Lite: Built for intelligence at scale

1:03:38 - GPT‑5.3 Instant: Smoother, more useful everyday conversations

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Saleema Amershi is a Partner Research Manager at Microsoft Research AI Frontiers, where she leads the teams behind AutoGen and Magentic-One. She joins the AI Inside podcast to discuss what happens when AI agents stop working in isolation and start collaborating, transacting, and negotiating with each other at scale. We cover the challenges of multi-agent orchestration, why current frontier models show a dangerous first-proposal bias that favors speed over quality, and how her team built the Magentic Marketplace to simulate agent-to-agent commerce. We also dig into agent manipulation, the tension between walled gardens and open ecosystems, and what duty of care means when an AI is acting on your behalf.

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Chapters:

0:00 - Podcast Start

01:46 - Introduce Saleema Amershi

0:02:04 - Talk about the challenges surrounding the orchestration of these agents together. And what limits this collaboration today, is it a technical limitation or something deeper?

0:05:10 - OpenClaw perspectives

0:06:42 - From your research, why would these projects fall apart? And actually, are companies setting themselves up for failure by moving too fast?

0:07:53 - What IS Magentic AI

0:12:16 - Collaboration between humans, AI and the agents.

0:18:45 - Agents eliminate the scarcity of attention

0:20:04 - You found that these frontier models that we're often told are ready to handle complex tasks like these were getting stunted by too many choices. They were showing a strong bias toward whatever option showed up first regardless of the quality. So, what's going on there?

0:24:07 - The first-proposal bias

0:33:25 - You co-published 18 guidelines for human-AI interaction back in 2019. When you look at those original guidelines through the lens of what you're working on today, what still holds up and what could you not have anticipated back then?

0:36:58 - What are the lessons for marketers and sellers?

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