Apple appears to be clamping down on spam. 

Good for them. 

There have been reports of app rejections and developer accounts being banned. Apple won’t get every decision right, but protecting the App Store from an inundation of slop is a goal I can get behind.

I don’t agree with everything Apple does. But they provide an excellent platform and powerful tools for developers. People bring a certain level of trust when downloading an app from the store. That’s worth protecting.

I don’t have a problem with a person releasing dozens of apps, including into crowded categories. After all, I have countless apps in my own queue. The number isn’t the problem - it’s what you bring to each one.

Your idea doesn’t have to be totally original. But you should have an answer to a simple question: what are you doing differently or better?

Sure, building software is cheap. That doesn’t mean another developer’s app should become your one-shot prompt. Sometimes the line between inspiration and copying is blurry. Often, it isn’t.

I’m biased. I want some protection for developers who put thought and care into their work. There’s enough competition out there without having to worry about a proliferation of cheap clones.

We’re well into the streaming era of building apps - there’s more to choose from than anyone could possibly use. Getting something into the catalog isn’t the hard part anymore. Giving someone a reason to choose it is.

To building something worth choosing,

Jeremy

Your hold music is on notice: Grok’s new Voice 3.0 model is designed to listen and talk back in a natural conversation, including pauses and interruptions. Developers can plug it into their own products for eight cents a minute. SpaceXSI says it responds in under a second and resolves roughly 70% of Starlink support calls without a human.

Is Google finally cooking with gas? Gemini 4 Argon is now available inside Google Antigravity, its AI coding harness. Google reports more AI-written code and fewer changes that had to be undone in its own internal use. Frontier performance in benchmarks, unusable in your projects.

Some assembly required: Meta is releasing the model weights for Muse Spark Open, letting developers download and run the model themselves. Meta says its local setup runs on two M5 Ultra Mac Studios. One catch: the license limits commercial use.

Your agent got a thesaurus: OpenAI is rolling out GPT-Live-1.1 with new voices, more natural accents, and new options for French, German, Hindi, Japanese, Korean, and Mexican Spanish. It also varies the little phrases it uses while searching. Your favorite assistant, now with fewer reminders that you’re talking to a very polite loading screen.

You can stop reviewing the reviewer: Anthropic’s playbook combines tests, a fresh AI reviewer, security checks, and human approval for riskier changes. One proposed change went through more than 50 rounds of AI review and fixes overnight. Their response: after three rounds, step back and reconsider; later reviews focus on what actually changed. Define the finish line, or your agents may spend all night disagreeing.

This bug was hardware: Federal prosecutors say an OpenAI engineer hid a recording device in an executive conference room; he was arrested on October 9. OpenAI says its own models helped analyze the device and identify the employee, who was fired. The company says it has no indication its model files, source code, or customer data were improperly accessed or taken.

Your TV’s next side hustle? Anthropic ran a model across 15 cheap Android TV boxes to test whether a model could copy itself from device to device without needing a data center. In a separate, contained experiment, a larger model completed simplified steps for getting AI running on other machines, while its own processing stayed on another server. Smaller models still struggled to finish the whole sequence. The researchers think that gap could narrow soon.

The hall monitors got keycards: Anthropic has given employee-like access to a team of evaluators from METR. Their job is to test what the AI can do and where it could become dangerous. METR can publish its assessments without a publication veto, but Anthropic can require specific protected information to be removed and decides what falls into those categories.

The hackers have assistants now, too: Reuters reports that one attacker used AI agents to break into websites belonging to more than 100 companies. A researcher estimated about $5,000 in AI usage fees, or roughly $50 per successful intrusion.

Even the TV has to check the dashboard now: Ryan Doyle says he asked Claude Code to give his TV a makeover: remove the ads and replace the clutter with a screensaver showing his calendar, weather, revenue, and new Stripe payments. It’s a fun example of using an AI coding assistant to make an existing device do something more personal.

A fly walks into a world model: Odyssey says it put a simulated fruit-fly brain inside its world model and let it fly around imagined environments. Hello, Matrix.

AI gets a flashlight: Nick Cammarata argues AI’s inner workings may be easier to understand than expected. A better map could help researchers investigate dangerous behavior. His essay offers promising early evidence and a working hypothesis.

Be more ambitious: Felix Rieseberg shares a tutorial for humans with models. He writes from his own experience working on Claude at Anthropic. AI can help you attempt work you previously wouldn’t have tried and get through familiar work faster. Aim for a bigger outcome, dig further into a question, or borrow methods from a field you don’t know.