weekend ai reads for 2025-10-10

The filmmaker could not get Tiggy the alien to cooperate. He just needed the glistening brown creature to turn its head. But Tiggy, who was sitting in the passenger’s seat of a cop car, kept disobeying. At first Tiggy rotated his gaze only slightly. Then he looked to the wrong side of the camera. Then his skin turned splotchy, like an overripe fruit.

Whether Hollywood can even protect its IP is an open question. AI companies believe they can train their models without any regard for copyright. The law on this is unclear.

Studios feel confident they can win if they can prove that the apps are spitting out videos with characters that resemble their own. Disney has already sued Midjourney, seeking to set a precedent.

This is what was unlocked by Sora: all sorts of people without the time or inclination or skills or equipment to make videos could suddenly do just that — and they absolutely loved it.

When Swift mentioned her own fears about AI, her statement had nothing to do with climate destruction, copyright infringement, tacky aesthetics, or any other conventional complaints about the technology. She mostly didn’t want to spread misinformation.

In my experience, the people who are excited about Al art also happen to be some of the most talentless people I’ve ever met. They’re middle managers, executives, or marketers whose LinkedIn bio reads, “I’m the Chief Brand Officer of User Engagement at DataRectal, but what I really am is a storyteller.”

It turns out playing God is neither difficult nor expensive.

Generative AI can only be used by people who already know the answer.

A staffer will not be eligible for any health benefits if they decline to opt into Nayya’s tool, according to previous guidelines seen by Business Insider. Some staff members have asked leaders why they won't have access to health benefits if they opt out of giving Nayya access to their data, internal communications show.

Don’t get me wrong. I’ve had some incredibly productive moments with AI design tools. But I’ve had at least as many slogs, where I can’t get it to do some basic thing I should’ve done myself 45 minutes ago. And even those productive moments are generally for less important, less business-critical, less live-in-production design stuff.

My hunch: vibe coding is a lot like stock-picking – everyone’s always blabbing about their big wins. Ask what their annual rate of return is above the S&P, and it’s a quieter conversation.

Rule #1: If You Can Buy It, Buy It (Period)

The focus has shifted from experimental apps to platforms that integrate with traditional schools to personalize learning, enhance assessment, and reduce operational overheads, as noted by Global Services in Education. “As generative AI tools become more embedded in standard applications, investors are looking for companies that can effectively implement these technologies in educational settings,” the ECA Partners report said.

Hamel Husain and Shreya Shankar teach the world’s most popular course on AI evals and have trained over 2,000 PMs and engineers (including many teams at OpenAI and Anthropic). In this conversation, they demystify the process of developing effective evals, walk through real examples, and share practical techniques that’ll help you improve your AI product.

DSPy decouples your task from an particular LLM and any particular prompting or optimization strategy.

By defining tasks as code, not prompts, we can keep our code focused on the goal, not the newest prompting technique.

When a fan links their Prime Video profile to their FanDuel account, their active NBA bets will be displayed and updated on the screen, along with relevant progress and won/lost status, providing an exciting new way to connect plays on the court with active bets.

The idea here is to build a version of Wikipedia where all the content is AI-generated. You only have to generate a single page to get started: when a user clicks any link on that page, the page for that link is generated on-the-fly, which will include links of its own. By browsing the wiki, users can dig deeper into the stored knowledge of the language model.

The right job for you, then, is the one that puts you in charge of the things that annoy you. And this is where we steer people wrong. We imply that the right occupation for them is the one that lets them float through their days in a kind of dreamy pleasantness, when in fact they should be alternating between vexation and gratification. Or we let them choose proximity over responsibility, prioritizing what they’re working in rather than what they’re working on.