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Finally dropping what you’ve all been waiting for.

Just a few more days...

We’ve been building something new for PayStorm.

But it didn’t start with a roadmap. It started with conversations.

We kept hearing the same 5 things from founders using the product.

Some small. Some loud. All honest.

So we’re building something new.

By default, reminders are sent through PayStorm’s billing email.

But if you want them to feel more personal—more like you—you can connect your Gmail in seconds.

A small change that helps your message land and sound like it came from your desk.

Your clients speak different languages. PayStorm can too.

Set a default language for reminders. They’ll stay clear, polite, and ready to send — no edits needed.

Here's a startup tip, don't hire accounting firms early.

This is how we handle our own expenses and accounting.

No need to pay extra.

We're just getting better at automating the easy parts while the hard problems remain unsolved.

The companies winning this space will be those that augment developer thinking, not just developer typing.

The real question isn't which AI coding tool wins. It's whether we're creating better programmers or just faster code generators.

Every "revolutionary" coding AI release proves we're nowhere near replacing human developers.

The Cursor vs Copilot vs GPT-5 Codex battle misses the point entirely. None of these tools understand what they're building. They pattern-match from training data without comprehending software architecture, business logic, or long-term maintainability.

Meanwhile, developers are getting dependent on tools that can't actually replace deep programming knowledge. We're training a generation of programmers who can't code without AI assistance.

The reality is that current coding assistants are glorified autocomplete with better marketing. They help with boilerplate code and simple functions, but struggle with complex architecture decisions or debugging intricate systems.

Think about it - if these tools were actually good, why would we need constant "improved versions" every few months? Real breakthroughs don't need quarterly updates.

The technical specs matter: improved code generation, better debugging capabilities, and enhanced context understanding across entire repositories.

But here's the controversial take: this move proves that coding AI is still primitive.

Faster code generators and a generation of slower thinkers

Last week, OpenAI launched GPT-5 Codex, built specifically to challenge GitHub Copilot and Cursor AI. This isn't just another coding assistant - it's a direct attack on Microsoft's developer tools empire.

The difference is intentional design. Companies that substitute tasks see hiring shrink. Companies that augment workers keep hiring.

The entry-level crisis is real but fixable. The question is whether your company builds the next generation or accidentally eliminates them.

Some companies are fixing this. Instead of deleting entry-level roles, they're redesigning them.

Smart managers pair new hires with seniors for AI output reviews. They measure junior impact on outcomes, not volume. They use AI to augment work, not replace learning opportunities.

First drafts of code? AI writes them. Customer support replies? AI generates them. Junior learning opportunities? Gone.

We're not just losing jobs. We're losing the pathway that created experienced workers.

AI isn't replacing people. It's replacing the bottom rung of the ladder.

Software development, customer service, and automatable work got hit hardest. Entry-level tasks that used to teach skills through repetition now get handled by AI.

AI is changing the career ladder, especially junior roles.

Stanford researchers put hard numbers on what managers suspected: employment for 22-25 year olds in AI-exposed roles dropped 13% since 2022. Older workers in those same jobs grew 6-12%.

Why language models hallucinate OpenAI’s new research explains why language models hallucinate. The findings show how improved evaluations can enhance AI reliability, honesty, and safety.

Absolutely, here's the announcement openai.com/index/why-la... and here's the paper cdn.openai.com/pdf/d04913be....

This research explains why three years after ChatGPT's launch, hallucinations remain a major problem.

Current approach: AI confidently invents fake statistics
Better approach: AI says "I need to verify that information first"

Most companies still want AI that always answers. But the best AI systems know when to admit they're unsure. Maybe this is something we can try to prompt around.

Hallucinations aren't bugs to fix - they're built into how AI learns.

The solution is changing what we reward. Give AI points for correct answers, subtract points for wrong answers, and give zero points for saying "I don't know."

Think of it like training an employee who gets points for every answer, right or wrong. They learn to guess confidently rather than admit uncertainty.

OpenAI found this happens even with perfect training data and unlimited computing power.

OpenAI discovered why ChatGPT lies to you and hallucinates

OpenAI published research explaining why AI confidently states false information even when it has access to correct data.

The answer is simple: AI gets rewarded for guessing instead of saying "I don't know."

On the 12th of September, in three days, the EU Data Act applies across the bloc, impacting how companies access and share data from connected products and services.

If you can’t point to the owner and the evidence, you’re not ready

Ask them to map four basics by month-end:
- what it’s for,
- what data it uses,
- who supplies or builds it, and
- what checks exist.

The emails have started: legal, product, ops, all asking the same thing: what exactly do we need to show, and where?

Recommended practices suggest to pick one decision in your business that AI influences, and name a single owner now.

The “optional” phase of AI in Europe ends in 3 days

Obligations for providers of general-purpose AI models have already kicked in as of August 2, 2025, moving talk of transparency and oversight into enforceable requirements.

Not every founder budgets in dollars.

In PayStorm, you can set your default dashboard currency to match how you think about money. Euros, pounds, or whatever fits your gut.

Make your dashboard feel familiar.

Put those answers into your budgets, leases, and vendor contracts. Trim usage where you can, schedule heavy jobs for off‑peak hours, and shut down what you don’t use.

The teams that plan around power will move faster and spend less over the next year.