So GMIP I just scrolled past this pinned gem from @psdnai and had to stop – AI’s ditching the browser life for the real world, but apparently the big holdup is data? Like, we’re all out here training robots on cat videos while they need premium, curated stuff for physical AI.

#HallelujahChallenge started in Cameroon and it was glorious...🔥🔥🔥🔥🔥🔥🔥🔥

Happy New Month! 🚢📦 Another month of learning, moving, and growing in supply chain. From the port to the next opportunity, we keep showing up and putting in the work. #SupplyChain #ImportExport #FreightForwarding #GlobalTrade #EuropeanLogistics #SupplyChainJobs #EuropeJobs

Crypto on the timeline. Containers in real life. 🚢📦 You really don’t know what people do offline

Do you believe heaven is real ?

Happiness is free but e be like joy cost a lot

Bible verses that helps against pornography

I saw also the Lord sitting upon a throne, high and lifted up And one cried unto another, and said, Holy, holy, holy, is the Lord of hosts: the whole earth is full of his glory. Isaiah 6 vs 1-3

I’m actually very concerned about how ignorant so many are in this generation and yet we live in a century where everything is connected and knowledge increased day by day

Who needs to open their bible?? You 🫵🏾

this is what real Christianity is all about. 🥺❤️❤️

1.5 MILLION CHRISTIANS MARCHED THE STREETS OF BELGRADE 🔥✝️ JESUS CHRIST HAS WON 🙏🏾

Beautiful absolutely beautiful ❤️

🚨 BREAKING: Ohio State football players handed out 10,000 bibles, lead thousands of students to Christ! 🙌🏾

“Be still. No dey force am. God never miss deadline. 🤲🏾✨ ‘Be still, and know that I am God. Psalm 46:10 Sleep well, family. Drop every burden for Baba’s hand. Tomorrow na fresh mercy, fresh grace, fresh testimony. We move by faith, not panic. 🌙❤️ #AfroGospel #TrustGod

Even Satan is not an Atheist, that guy knows God exists But you wey Dem born for ogun state dey form Atheist too You never ready

DJ Tunez live on Instagram, straight from Paris 🇫🇷🔥 Leave Music for Musicians 😂

Trading or launching memecoins isn't always the hardest part. Because sometimes, it's everything around it…. @1007LOOT is a memecoin launchpad built straight on the @RobinhoodApp , designed to make launching, trading, and holding memecoins…. Enjoy 🍿

Most discussions about AI training data start with the model. I think they should start one layer earlier. How do you prove where the data came from, who contributed it, and whether it was actually allowed to be used? That is the harder infrastructure problem. AI systems need huge amounts of data, but the data supply chain is still difficult to audit. Files move between contributors, platforms, researchers, and model developers. Once that happens, proving origin and usage becomes harder. That creates a simple problem: AI can scale faster than the systems used to track the data behind it. Traditional databases can record activity, but those records usually sit inside separate organizations. One company may know when a file entered its system. Another may know when it was processed. But there is no shared record that everyone can independently check. That is where Data Foundation’s Trace becomes interesting. In just over one month, Trace recorded: → 151.7M registrations → 359K contributors → 224 TB of audited data → $105K in fees over 30 days Each registration acts as a permanent audit receipt for data entering the AI training pipeline. The important part is not simply the number of registrations. It is what those registrations represent. Instead of asking people to trust a private database, the system creates a record that can be checked later. That changes what developers can build around AI data. A developer could trace where training material came from. A business could keep clearer records around contributed data. An institution could build stronger audit and compliance processes around large AI datasets. Contributors could have better proof that their data entered a specific system. There is also a second-order effect here. As AI agents become more autonomous, they may eventually buy, license, verify, and use data without a human checking every step. That makes machine-readable provenance more important. An agent cannot rely on “trust me.” It needs something it can verify. What I think people may be missing is this: The next 150M registrations are not only a scaling test for Trace. They are also a test of whether AI data provenance can operate at the same speed that AI itself is growing. If AI becomes infrastructure, then the records behind its training data may need to become infrastructure too.