Here’s the fact: AI models are drowning in lawsuits — billion-dollar ones. Anthropic might owe $1.5B over book claims, Midjourney’s in court for a Superman image, and more than 40 cases are lined up. It’s messy, it’s loud, and right now — nobody’s winning.

But plot twist: a brand-new system called Real Simple Licensing — backed by Reddit, Quora, Yahoo, Medium, and a crew of technologists who once built RSS — might actually fix it.

Here’s the pitch:

The upside? Even the smallest publishers — the ones too tiny to sue or negotiate — finally get a shot at getting paid.

The catch? Unlike music, you can’t prove exactly which page trained which model. So the payments will be based on rough estimates, not exact usage. It’s not perfect, but it’s way better than the wild west we’ve got now.

But then again, will AI labs actually play ball?

They’ve feasted on free data for years. Asking them to suddenly pay feels less like a business model shift, and more like rewriting internet culture.

Our take: RSL is the first real attempt to solve AI’s biggest legal headache. It’s smart, practical, and scalable — and it does two big things right:

But let’s be real: tracking is still fuzzy, and AI labs have no natural reason to pay unless lawsuits, regulation, or PR pressure force their hand.

Bottom line: RSL could be the blueprint that saves AI from death-by-lawsuit… or just another shiny idea that AI labs quietly ignore while their lawyers keep busy.

Take a look at the full breakdown here.

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You know how everyone’s hyped about AI taking over the world? Plot twist: the biggest thing holding it back isn’t creativity or raw power—it’s consistency.

Ask ChatGPT the same question twice, you might get two totally different answers. Fun at parties, but a deal-breaker for finance, science, or anything where precision is life or death.

That’s the dragon Mira Murati—yes, OpenAI’s former CTO—is chasing with her new startup, Thinking Machines Lab. And trust me, this isn’t just another “we raised a seed round” story. They’ve pulled in a jaw-dropping $2 billion in funding to go after one of AI’s most fundamental flaws: randomness (or, in nerd terms, nondeterminism).

So what’s nondeterminism?

Think of it like this: if a calculator sometimes said 2+2=4, and other times 2+2=5, you’d never trust it. That’s today’s AI. Sometimes right, sometimes chaos. And sure, unpredictability makes chatbots seem “creative,” but for enterprises and researchers, it’s straight-up unreliable.

According to Thinking Machines researcher Horace He, the problem isn’t the data or even the model design—it’s buried in the GPUs.

See, GPUs crunch numbers using billions of mini-programs called kernels. But the way those kernels get scheduled and stitched back together? Messy. Multiply that mess a billion times, and you get AI that can’t stick to a single story.

Thinking Machines’ bet is simple: control that GPU orchestration, and you get reproducible outputs. Translation: same input, same answer, every time.

Why this matters:

In short: less moody bots, more reliable tools.

Of course, this is no quick fix. Tightening GPU orchestration is a moonshot, and Thinking Machines already has a $12B valuation, with pressure to deliver. Now, Murati has teased a first product “for researchers and startups” dropping soon, but whether it ships with this reproducibility magic is still unclear.

What’s refreshing though, is their new blog, Connectionism, which promises open research in a field that’s gone increasingly closed-door. Whether they stick to that transparency as pressure mounts? TBD.

But here’s the thing: if they pull this off, it’s not just another AI upgrade—it’s a reset button. Consistency could become the new baseline, and Thinking Machines might end up rewriting what we expect from intelligent systems.

If this got you excited, go read the full report. It's packed.

Here’s the truth: humans are wired for stories. We remember characters, conflicts, and resolutions far more than bullet points or data dumps. That’s why a simple anecdote can sell an idea better than a whole PowerPoint of stats.

Now, instead of staring at a blank page trying to “sound interesting,” you can team up with AI. 

The right prompt can help you shape raw ideas into compelling little narratives that hook your reader, highlight your point, and leave them wanting more.

Here’s How To Use This Prompt Effectively: 

💡Prompt to Apply:

Here’s a sneak peek:

https://youtu.be/TnymDI6iuQ8Upgrade now to see this whole month’s prompt videos and more, or buy TODAY’S WOD for just $1.99