TL;DR: Anthropic refused to sign a contract with the Pentagon that would have allowed the U.S. military to use all of its models without restrictions. Anthropic insisted on an exception, and brace yourself, that its models cannot be used: 1) for mass surveillance of citizens, 2) for autonomous killing. Now the administration is threatening that if the founder of Anthropic doesn't change his mind by a certain date, they will come after him.
Google, OpenAI, and Musk (Grok) have all signed the contract.
Following Sam Altman's announcement over the past few hours, people have been speaking out massively about cancelling their OpenAI subscriptions and subscribing to Claude.
If you ve ever tried to generate a longer video, you know the moment it breaks: characters drift, lighting changes, product angles randomize, and suddenly the whole edit feels unusable.
Vertical Motion fixes that by treating consistency as a system, not a lucky prompt.
I posted a random thread on X about the cost of living in the Netherlands. Nothing about what we're building. Just genuine thoughts about life in the Netherlands.
It hit 1M+ impressions. And here's the weird part we got a ton of signups and paid users for Starnus from it. Without ever mentioning the product.
Meanwhile, my "here's what Starnus does" posts? Way less engagement.
This genuinely messed with my head. I'm sharing the actual X post below
I have been thinking about situations where clients specifically ask for AI agents to simplify a process. On the surface, it sounds reasonable. They want something intelligent to classify, route, or decide. But when we go deeper into the actual workflow, we often find that the logic is completely structured. It might just be routing leads based on budget, geography, or service type. In those cases, a simple if-else condition or a fetch record from a table would solve the problem cleanly.
Another common case is using AI to analyze structured form submissions. If the inputs are predefined dropdowns and checkboxes, there is nothing to interpret. A fetch record or rule-based filter is cleaner, cheaper, and easier to maintain.
So the real question is this: are we adding AI agents because they actually do the job better, faster, or more efficiently? Or are we just throwing AI into the mix because it sounds cool and everyone else is doing it?
Once upon a time, developing for Apple was an exciting, rewarding challenge. But lately, that relationship has soured.
Apple has transformed into a trillion-dollar giant that sees developers not as partners, but as a resource to control, extract from, and when convenient ignore.
Most apps don t make money from subscriptions. They make money from you. Your data browsing history, app usage, personal behaviour is worth cold, hard cash.
We ran the numbers for our app, Magic Lasso Adblock, and here s what we found:
Current Subscription revenue per user: $25.50/year
Potential Data broker revenue per user: $30+/year
Meaning: we could more than double our profit margins overnight by selling user data.
