AI is transforming industries with its ability to analyse data and drive efficiencies. @Rivalz_AI is tapping into this potential.
https://t.co/gEoyCK70kh
🟩 The long awaited Rivalz zNode Sale is here!
Agentz, play your part in building the future of AI Intel and join us by owning your piece of the Rivalz Network.
The Sale will happen over 5 successive waves.
📅 Wave 0 pre-sale starts September 10th - Goldpass holders only.
@DamiDefi $OCEAN
It’s tied to Ocean Protocol, which focuses on decentralized data infrastructure for AI. Models and agents need massive datasets, and Ocean’s compute-to-data approach lets them use data without exposing it.
AI + the data economy is a powerful combo.
Compute-to-Data is one of the most important pieces of Ocean tech.
Instead of sending sensitive datasets to developers,
the algorithm goes to the data and only returns the results.
Privacy preserved. Data never leaves the source.
$OCEAN
@Sashawright_1 I would add to the list AIOZ.
HackerNoon’s coverage underscored AIOZ’s infrastructure‑first approach for Web3, focusing on real products that empower users.
Take a look.
https://t.co/cL1Mypxv9D
GPUs are becoming long-term infrastructure assets as AI workloads continue to scale
Most GPUs today are either underutilized or locked inside isolated environments. Decentralized compute networks aim to change that by allowing GPU owners to contribute capacity to shared, geographically distributed systems that power real AI workloads
Ocean Nodes will soon enable connecting GPUs to such a network, enabling compute to be monetized and used where it’s needed
If you’re interested in how decentralized compute is being designed at the infrastructure level, this is worth a look:
https://t.co/GFmFNtBGQV
Did X just kill InfoFi?
X cut API access to platforms that reward posting — breaking UGC as we know it.
This wasn’t only about AI slop.
It was about value capture.
I explain what happened, why X did it, and what it means for creators, brands, and builders.
@cz_binance That is why I'm investing my future in AIOZ. The AI token is currently at the top of the best entry level you can buy now.
Get on this now and your future is set.
As more submissions roll in, here’s one tip for the Pothole Detection Challenge this week:
Confidence ranks the curve.
mAP (mean Average Precision) doesn’t just judge your boxes; it also evaluates how well your model ranks them.
If your scores are flat (e.g., everything is 1.0), you flatten the precision-recall curve and reduce AP, even with solid boxes.
Key takeaway: make confidence scores meaningful & varied.
Strong ranking = higher mAP.
Build. Test. Refine. Submit & keep climbing!
https://t.co/xWzbzuLnZr
Free compute walkthrough with the Ocean VS Code Extension
1. Install the extension
2. Pick a dataset and algorithm
3. Choose an output folder
4. Click "Start compute job" to use 7200 seconds of free compute
Start here: https://t.co/EiByvd3u75
@DamiDefi The first thing that comes to my mind is Ocean Protocol. Ocean’s products are seriously underrated. Ocean Nodes and Compute-to-Data solve the exact problem of using data without exposing it, which is huge for enterprises and AI builders.
As a dev, I love that the Ocean Protocol's VS Code Extension abstracts away the complexities. Less time wrestling with APIs, more time building data-driven features.