christian

[christian @saasychristian]

@getdisputely Saw ur billboard the other day

[Disputely @getdisputely]

Introducing Disputely Resolve: the newest & most innovative tool to eliminate chargebacks from your store by 90% and grow your margins

Control your customer's dispute attempts From Their Banking App, and build your own workflows to resolve disputes

> And it's totally free to setup:

We're giving $1000 in revenue protection to some of the stores that show some love here💙

Demo Your Store in 2 Minutes for Free,
Stop Chargebacks, before they happen👇

[christian @saasychristian]

@getdisputely Interested

[Disputely @getdisputely]

After protecting stores over $850m in revenue, tomorrow we introduce a tool that will Change Ecom Forever...

If you're seeing this now, you're lucky:

We're giving early access to the first 50 founders who interact here to the smartest dispute mitigation tool on the market

Along with picking stores who reply to give $1000 each in revenue protection

Protect Your Margins... Be Quick

[christian @saasychristian]

@codi_fyy Steal

[Beaver 🦁 @beaverd]

https://t.co/0mqTgVZtNd

[christian @saasychristian]

@themarketinghog He’s not responding to me anymore.. might be anotha sweet baby rays episode

[christian @saasychristian]

@Rowdymode @vascoabm What are your ways sir

[Anze Markovic | Performance Creative @anzedetn]

Creative Decision Making 106

We run 800-1,000 creatives every month for our clients, and these 3 psychology-backed principles are the backbone of every creative we’ve scaled so far.

[christian @saasychristian]

@elaineshan8 Supplement

[christian @saasychristian]

@X_FINALBOSS MIRO

[christian @saasychristian]

@mjkayum Nano

[christian @saasychristian]

@WorkflowWhisper BUILDER

[christian @saasychristian]

@CoryDobbin GPT

[Jim Fan @DrJimFan]

What if robots could dream inside a video generative model? Introducing DreamGen, a new engine that scales up robot learning not with fleets of human operators, but with digital dreams in pixels. DreamGen produces massive volumes of neural trajectories - photorealistic robot videos paired with motor action labels - and unlocks strong generalization to new nouns, verbs, and environments. Whether you’re a humanoid (GR1), an industrial arm (Franka), or a cute little robot (HuggingFace SO-100), DreamGen enables you to dream.

Video generation models like Sora & Veo are neural physics engines. By compressing billions of internet videos, they learn a multiverse of plausible futures, i.e. superpositions of how the world could unfold from any initial image frame. DreamGen taps into this power with a simple 4-step recipe:

1. Fine-tune a SOTA video model on your target robot;
2. Prompt the model with diverse language prompts to simulate parallel worlds: how your robot would have acted in new scenarios. Filter out the bad dreams (ha!) that don’t follow instructions;
3. Recover pseudo-actions using inverse dynamics or latent action models;
4. Train robot foundation models on the massively augmented dataset of neural trajectories.

That’s it. Just more data, and plain old supervised learning. Simple, right?

What’s remarkable is how far this goes. Starting with just a single-task dataset of pick-and-place, our humanoid robot learns 22 new behaviors, such as pouring, folding, scooping, ironing, and hammering, despite never seeing those verbs before. Better yet, we can take the robot out of the lab and drop it into the NVIDIA HQ Cafe, and let DreamGen work its magic. We show true zero-to-one generalization: from 0% success to over 43% for novel verbs, and 0 -> 28% in unseen environments.

Compared to a traditional graphics engine, DreamGen doesn’t care if the scene involves deformable objects, fluids, translucent materials, contact-rich interactions, or crazy lighting. Good luck engineering those by hand. For DreamGen, every world is just a forward pass through a diffusion neural net. No matter how complex the dream is, it takes constant compute time to roll out.

Read our blog and paper today! We plan to fully open-source the entire pipeline in the next few weeks. Links in thread:

[christian @saasychristian]

@Salmaaboukarr Ads

[christian @saasychristian]

@ShanAggarwal Permissionless rails are the endgame.
What excites me is the bridge: stablecoins → RWA tokenization → fully permissionless markets.
We’re only at step 1, but the path is getting clearer.

[christian @saasychristian]

@zackkanter The “VCs don’t back robotics” narrative is backwards.
The limiting factor is founders choosing to build robotics companies - and convincing top-tier talent to join.
The capital is waiting. The ventures aren’t.

[christian @saasychristian]

@WatcherGuru Wake me when desks are running validators or routing orders through L2s

[christian @saasychristian]

@Cointelegraph Great move for optics, but $1.3M barely funds a single lab.
Real question: will this center produce research Ripple actually uses or is this more of a long-term brand play