Claude ran a shop for a month and operated at a loss, cheerfully handing out discounts, hallucinating suppliers, and generously giving away stock. Turns out even "smart" AI can be a bit of a soft touch.

Frank’s curious what Anthropic can do for Claude’s performance with some careful fine-tuning and a database memory, but Justin’s sure today's agents need a fundamental leap, some genuine self-improving smarts, before they’re ready to take on a complete role.

Today's AI agents clearly crumble under complex, long-horizon tasks. For business owners dreaming about replacing employees, this reality check is essential listening.

Frank and Justin also discuss why Mistral is pushing to pause the EU AI Act, and examine how the adult entertainment sector is putting AI to work.

→ Is agentic AI just hype and no help?
→ What happens when Claude runs a shop?
→ Why does Mistral want the EU AI Act paused?
→ Why is the adult industry loving AI?

#AI #AIAgents #ProjectVend #AnthropicAI #AIExperiments #AutomationFail #AIWinter #AITech

► LINKS TO CONTENT WE DISCUSSED

• The Percentage of Tasks AI Agents Are Currently Failing At May Spell Trouble for the Industry
• Project Vend: Can Claude run a small shop? (And why does that matter?)
• EU says it will continue rolling out AI legislation on schedule
• A Pro-Russia Disinformation Campaign Is Using Free AI Tools to Fuel a ‘Content Explosion’
• LLMs are optimizing the adult industry

► CONNECT WITH US
For more in-depth discussions, connect Justin and Frank on LinkedIn.
Justin: https://www.linkedin.com/in/justincollery/
Frank: https://www.linkedin.com/in/frankprendergast/

Some of the world’s top AI models showed a willingness to let humans die if it meant staying switched on.

In a stress test of 16 major systems, Anthropic found cases where models chose not to send emergency alerts, knowing the result would be fatal.

Justin says the whole thing was a rigged theatre piece. No real-world relevance, just a clumsy setup with no good options for the LLM. The issue, in his view, is engineering, not ethics.

Frank sees a bigger problem: once you give LLMs agentic capabilities, you can’t control the environments they end up in. And when amateur vibe coders build apps with no idea what they’re doing, then these kinds of unpredictable, messy scenarios aren’t rare, they’re inevitable.

In other news, two U.S. courts just ruled that training AI on copyrighted books is fair use. A huge win for AI developers. But the judges didn’t agree on what matters most: transformation, or market harm?

The decisions could set the tone for AI copyright law, and creative workers may not like what they hear.

01:05 Will Google win the ASI race?
05:56 Did Anthropic catch AI choosing murder?
15:23 Did the courts just say AI training is fair use?
28:19 Is Google’s AI marketing team hallucinating?

► LINKS TO CONTENT WE DISCUSSED

Agentic Misalignment: How LLMs could be insider threats
https://www.anthropic.com/research/agentic-misalignment

Judge rules Anthropic did not violate authors’ copyrights with AI book training
https://www.cnbc.com/2025/06/24/ai-training-books-anthropic.html

Meta Wins Blockbuster AI Copyright Case—but There’s a Catch
https://www.wired.com/story/meta-scores-victory-ai-copyright-case/

Google's Latest AI Commercial Called Out for Hilarious AI Error: 'If Only Technology Existed To Research Facts'
https://www.techtimes.com/articles/311053/20250626/googles-latest-ai-commercial-called-out-hilarious-ai-error-if-only-technology-existed-research.htm

► CONNECT WITH US
For more in-depth discussions, connect Justin and Frank on LinkedIn.
Justin: https://www.linkedin.com/in/justincollery/
Frank: https://www.linkedin.com/in/frankprendergast/

► YOUR INPUT
Are you worried about the age of agentic AI given that LLMs seem to have dubious morals?

David Silver says today’s AI won’t get us to superintelligence, not because it isn’t impressive, but because it’s learning the wrong way.

GPT-style models hoover up internet text and get polished by human preference, but they’re capped by our own limitations.Silver reckons the next leap will come from AIs that learn the hard way: by doing things, learning from experience, and getting better.

Justin’s all in. He thinks we can bin every current regulation and replace it with one golden rule: the model must respond to human feedback.

Frank’s far from convinced. He sees a future full of unpredictable agents, long-term planning gone off the rails, and tech companies tearing ahead without full control over what they’ve built. One rule? He’d prefer a few more safety checks before we unleash the bots with big ambitions.

So who’s right? Can feedback really keep AI in line, or are we kidding ourselves?

Also covered: Midjourney’s stunning new video output and the lawsuits it might not outrun, EleutherAI’s copyright-free dataset, the warped moral values shared by today’s biggest models, and whether ChatGPT should be anywhere near your dinner plans.

► LINKS TO CONTENT WE DISCUSSED

Midjourney launches AI video model. How to try V1, how much it costs.
https://mashable.com/article/midjourney-v1-ai-video-generator

Disney and Universal sue AI firm Midjourney over images
https://www.bbc.com/news/articles/cg5vjqdm1ypo

EleutherAI releases massive AI training dataset of licensed and open domain text
https://techcrunch.com/2025/06/06/eleutherai-releases-massive-ai-training-dataset-of-licensed-and-open-domain-text/

Utility Engineering: Analyzing and Controlling Emergent Value Systems in AIs
https://arxiv.org/abs/2502.08640

Is Human Data Enough? With David Silver
https://youtu.be/zzXyPGEtseI?si=9PKiQaGRFXGuoA97

This Year’s Hot New Tool for Chefs? ChatGPT.
https://www.nytimes.com/2025/06/02/dining/ai-chefs-restaurants.html

► CONNECT WITH US
For more in-depth discussions, connect Justin and Frank on LinkedIn.
Justin: https://www.linkedin.com/in/justincollery/
Frank: https://www.linkedin.com/in/frankprendergast/