Monday’s AI Report

• 1. 🍽️ Altman hosts damage-control dinner?
• 2. 🔏 Protect your online info with Incogni
• 3. 🌍 How Hilton used AI to save $1B
• 4. 👑 Build AI customer support chatbots with ChatNode
• 5. ⚙️ Trending AI tools
• 6. 🧐 Anthropic prioritizes AI “welfare”
• 7. 🦉 Duolingo CEO backtracks on AI?
• 8. 📑 Recommended resources

Read Time: 5 minutes

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Altman hosts damage-control dinner?

🚨 Our Report

Last week, OpenAI invited nine tech reporters and journalists to an exclusive “on-the-record” dinner in San Francisco, hosted by CEO Sam Altman, COO Brad Lightcap, Head of ChatGPT Nick Turley, and a few of its communications team. During dinner, Altman and his team answered questions about the backlash surrounding the launch of ChatGPT-5 (many users were outraged when OpenAI stopped access to GPT-4o, without telling them—something they quickly reversed), the AI bubble, and OpenAI's future plans.

🔓 Key Points

  • With the GPT-5 launch, Altman admitted they “screwed things up” after assuming everyone would be happy to get the upgraded model, and in the future, will give users a “transition period” when deprecating models.

  • Despite the launch shortcomings, Altman confirmed that “traffic doubled in 48 hours” and revealed plans to introduce more customization into ChatGPT “to accommodate the wide diversity of use cases and people.”

  • Altman also confirmed that he believes we’re in an AI bubble, with investors getting “overexcited,” but also said OpenAI will “spend trillions on data center construction in the not-too-distant future.”

🔐 Relevance

After reading multiple reports about this dinner, it seems like many have been left questioning what the real purpose of the “on-the-record” dinner was: Some believe it was damage control, to encourage reporters to “write nice things” after the rocky launch of GPT-5. Others think it was to discuss OpenAI’s future, beyond ChatGPT. What do you think?

Was this dinner damage control or to discuss the optimistic future of OpenAI beyond ChatGPT?

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Googling a name can reveal more than expected

Data brokers sell personal info—often for less than a dollar.

What’s publicly available:

  • Current & past addresses

  • Mobile numbers (even outdated ones)

  • Family connections

  • Employment history

  • Property records

  • Court documents

This information is bundled and sold to anyone willing to pay. Even ChatGPT can return surprising details when asked about someone with an online presence.

This isn’t paranoia—it’s probability:

1 in 4 Americans experience identity theft

$1,100 average loss per incident

Over 200 hours to recover

Manually opting out of data brokers is exhausting—195+ forms, 30+ hours, and records often reappear.

Incogni automates the process:

Contacts data brokers

Forces data deletion

Monitors & re-removes data

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How Hilton used AI to save $1B

  • Global hotel chain, The Hilton, was struggling to manage water, energy, and waste efficiently across their many locations across the world.

  • Managing the vast amount of properties was complex and resource-intensive, and they faced escalating utility costs.

  • They implemented an AI resource management platform which used analytics to compare usage against optimal performance benchmarks.

  • As a result, they saved over $1B in utility costs and saw a 20% reduction in energy and water usage across their property portfolio.

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  1. Meco is a distraction-free space for reading and discovering newsletters, separate from the inbox ⭐️⭐️⭐️⭐️⭐️ (Product Hunt)

  2. SlideStorm creates TikTok slideshows in seconds with AI

  3. Amical is an AI voice-to-text app for dictation, meetings and note-taking

  • AI start-up, Anthropic, has announced that its most advanced AI models—Claude Opus 4 and 4.1—will now end conversations in “rare, extreme cases of persistently harmful or abusive user interactions.”

  • It’s rolling out this capability, not to protect users, but to protect the models themselves, after a recent study into “model welfare” revealed “low-cost interventions to mitigate risks to model welfare.”

  • The models will only end conversations in “extreme cases,” like “attempts to solicit information that would enable large-scale violence,” as they showed a “pattern of distress” when asked these types of questions.

  • In April, Luis von Ahn—CEO of language learning app, Duolingo—was criticized after announcing that Duolingo would be an “AI-first company,” with many worried it would bring job cuts and low-quality content.

  • Now, it appears that von Ahn is backtracking: He admitted he “did not give enough context,” which made people “assume” that it was just for profit, or that they were going to lay off humans, which “was not the intent.”

  • He confirmed he hasn’t “laid off any full-time employees” and has no intention of doing so. He’s also very confident about leveraging AI, giving his team Friday (or, “f-r-A-I-days”) mornings to experiment with AI.

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This podcast breaks through the AI jargon and explains the differences between traditional algorithms, large language models (LLMs), and agents, giving practical guidance that leaders can use.

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Until next time, Martin, Liam, and Amanda.

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