Links: Week of 27 Sep 2025
Pulse: These days my morning work routine starts with trying to replicate this functionality through the use of multiple prompts and GPTs, so I am looking forward to when then feature comes to cattle class subscriptions.
SAToday we are launching my favorite feature of ChatGPT so far, called Pulse. It is initially available to Pro subscribers.
Pulse works for you overnight, and keeps thinking about your interests, your connected data, your recent chats, and more. Every morning, you get a custom-generated set of stuff you might be interested in.
It performs super well if you tell ChatGPT more about what's important to you. In regular chat, you could mention “I’d like to go visit Bora Bora someday” or “My kid is 6 months old and I’m interested in developmental milestones” and in the future you might get useful updates.
Think of treating ChatGPT like a super-competent personal assistant: sometimes you ask for things you need in the moment, but if you share general preferences, it will do a good job for you proactively.
This also points to what I believe is the future of ChatGPT: a shift from being all reactive to being significantly proactive, and extremely personalized.
This is an early look, and right now only available to Pro subscribers. We will work hard to improve the quality over time and to find a way to bring it to Plus subscribers too.
Huge congrats to @ChristinaHartW, @_samirism, and the team for building this.YouTube Star MrBeast Is Building an Entertainment Empire - Bloomberg: Beast Industries sounds like a regular corporation with regular corporate problems.
Right now, however, Beast Industries is hemorrhaging money. It’s had three years of losses, including more than $110 million in 2024. The viral videos account for all of it, overwhelming the profits from Feastables. Donaldson has been spending between $3 million and $4 million on every video he produces for the main YouTube channel, most of which lose money. In 2023, Beast spent $10 million to $15 million shooting videos it never released to the public because they weren’t up to its standards. He also lost tens of millions of dollars producing Beast Games, a popular show for Amazon Prime Video in which 1,000 people competed for $10 million by, among other things, moving a 10,000-pound boulder.
- AP
This is going to revolutionize education 📚
Google just launched "Learn Your Way" that basically takes whatever boring chapter you're supposed to read and rebuilds it around stuff you actually give a damn about.
Like if you're into basketball and have to learn Newton's laws, suddenly all the examples are about dribbling and shooting. Art kid studying economics? Now it's all gallery auctions and art markets.
Here's what got me though. They didn't just find-and-replace examples like most "personalized" learning crap does. The AI actually generates different ways to consume the same information:
- Mind maps if you think visually
- Audio lessons with these weird simulated teacher conversations
- Timelines you can click around
- Quizzes that change based on what you're screwing up
They tested this on 60 high schoolers. Random assignment, proper study design. Kids using their system absolutely destroyed the regular textbook group on both immediate testing and when they came back three days later.
Every single one said it made them more confident.
The part that surprised me? They actually solved the accuracy problem. Most ed-tech either dumbs everything down to nothing or gets basic facts wrong.
These guys had real pedagogical experts evaluate every piece on like eight different measures.
Look, textbooks have sucked for centuries not because publishers are idiots, but because making personalized versions was basically impossible at scale. That just changed.
This isn't some K-12 thing either. Corporate training could work this way. Technical documentation. Professional development.
Imagine if every boring compliance course used examples from your actual job instead of generic office scenarios.
We might have just watched the industrial education model crack for the first time. About damn time.
Ignoring the hype up top, Google does seem to be creating some practical tools with LLMs. With base LLMs getting quite good now, I wonder if the next unlock is in creating tools with customized workflows for specific tasks. Wrappers.









