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Who's Really to Blame for Manchester United's Decline?

How much longer can Manchester United keep changing managers without addressing the underlying problem?

Chamath: The AI Boom Has a Borrowing Problem

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AI’s Biggest Opportunity: Adoption Is Still Nascent At Work

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“To catch up with OpenAI, Anthropic, you’d probably be spending a trillion dollars” #ai #podcast

Nathan Benaich on the latest episode of the MAD podcast

ICE Agent Is Indicted After Hitting Immigrant With Car

A grand jury in Texas on Friday indicted an ICE agent who struck and injured a Mexican construction worker with a vehicle in Houston earlier this month, the authorities said. The agent is facing charges of aggravated ass

How Gen uses ChatGPT Work to turn data Into decisions | OpenAI

“Before ChatGPT Work, we were walking. Now with ChatGPT Work, we are running.” For Gen's Howie Xu, that means understanding how a new product’s onboarding experience is working within two or three hours of release. Fin

Spending too much on AI ≠ AI not working.

Americans would rather live next to a nuclear plant than a data center #ai #podcast

Nathan Benaich on the latest episode of the MAD podcast

ChatGPT Enterprise at Zendesk: Putting Company Data to Work

“We have about 600 applications that have been built by different people in the company.” At Zendesk, teams across sales, marketing, and operations are building applications for their own work. ChatGPT Enterprise is ava

The 50/50 problem with voice AI nobody is talking about #Shorts

Zack Reneau-Wedeen, Head of Product at Sierra, breaks down a fundamental imbalance in how voice agents are built today: 50 lines of Python deciding when to speak, and a trillion parameters deciding what to say. One of Si

The Hardest Part of Testing Agents: Write Access

LangChain PM Ben Tannyhill breaks down why read-only agents like Chat LangChain are easy to branch and test, while write access agents that touch production data are still an unsolved eval problem for most teams. Full co

Can You Trust Agents With Company Data?

Enterprise AI’s ultimate moonshot: agents that go off and solve problems alone. The catch? Trusting them with company data. Serval CEO Jake Stauch on why no one has figured it out yet.

Taking on ServiceNow: Coding Agents the Rest of Us with Serval Co-Founder and CEO Jake Stauch

This is the ultimate moonshot in enterprise software. These agents that go off and do work for you and magically discover all your problems and solve all your problems. And I think no one's really figured out how to do this well. This is kind of the OpenAI hugging face incidents

The Real Cost of "We Can Just Build It Ourselves"

AI coding assistants make it tempting to hand-roll everything, including your own agent runtime. Walker Ward explains why Podium decided that battling infrastructure edge cases was an opportunity cost against the things

What is a mixture-of-experts model? Mistral’s VP of Science explains in 40 seconds #ai #podcast

Pierre Stock on the latest episode of the MAD podcast https://youtu.be/nxAoCPsGfe8

Your AI-Powered Employee Is Making Your Company Slower (Here's Why)

AI can make one person 100x more productive. So why aren’t companies seeing it in their numbers? Wharton professor Ethan Mollick explains why individual AI productivity gains don’t automatically become company-level res

AI Turned This Operator Into a Builder

Arielle explains how AI lets her build tracking systems herself instead of waiting for a vendor or an engineer. Watch the full episode: https://www.youtube.com/watch?v=LZbjIE2LeTQ

Was Your Team's AI Spend Actually Worth It?

Arielle demos a dashboard that tracks AI token spending by person, model and type of work to help assess its value. Watch the full episode: https://www.youtube.com/watch?v=LZbjIE2LeTQ

Meta keeps its best model closed. Mistral opens its best #ai #podcast

Pierre Stock on the latest episode of the MAD podcast https://youtu.be/nxAoCPsGfe8

Why AI Attacks Will Get Harder to Spot

The pyramid of pain, from the least to the most dangerous attackers: Base: hacktivists (most numerous) Middle: cybercriminals Top: nation state actors (fewest) Now AI is closing the gap. CrowdStrike CEO George Kurtz di