Poseidon (@psdnai) 's Twitter Profile
Poseidon

@psdnai

Real-world data for physical AI

ID: 1942637883158073344

linkhttp://psdn.ai calendar_today08-07-2025 17:32:46

59 Tweet

5,5K Followers

15 Following

sarick.ip (@sarick_ai) 's Twitter Profile Photo

we’re often asked: why does Poseidon use blockchain infrastructure? isn’t this just Scale AI onchain? the answer is no, and the difference isn’t superficial. here’s why distributed systems matter for AI’s data bottleneck:

Poseidon (@psdnai) 's Twitter Profile Photo

Data is the most valuable subset of IP and the biggest bottleneck to progress. The next explosion of AI innovation will be sparked by IP-cleared, real-world training data.

Stanford Blockchain Accelerator (SBA) (@stanfordsba) 's Twitter Profile Photo

@spchinchali breaks down how Story leverages smart contracts and a custom Layer 1 to streamline licensing, royalties, and disputes putting creators first and building a transparent, efficient IP ecosystem. Full talk here: youtube.com/watch?v=izADgt…

@spchinchali breaks down how <a href="/StoryProtocol/">Story</a> leverages smart contracts and a custom Layer 1 to streamline licensing, royalties, and disputes putting creators first and building a transparent, efficient IP ecosystem.

Full talk here: youtube.com/watch?v=izADgt…
sarick.ip (@sarick_ai) 's Twitter Profile Photo

robotics is running into the same ceiling language models hit before they got their boost from massive, varied datasets. an interesting model and training approach is showing real gains, making the case for richer, more diverse, high-quality data. EgoVLA is a new

robotics is running into the same ceiling language models hit before they got their boost from massive, varied datasets.

an interesting model and training approach is showing real gains, making the case for richer, more diverse, high-quality data.

EgoVLA is a new
Poseidon (@psdnai) 's Twitter Profile Photo

The future of AI isn’t about scraping more data but coordinating dynamic data from global contributors to collect rare, real-world edge cases. This requires distributed infrastructure tailor made with incentives to coordinate the collection of this data. Say a generative AI

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What if you could use voice-to-text AI on your phone without worrying about ripping a message that said “donut” instead of “do not” ?

Poseidon (@psdnai) 's Twitter Profile Photo

Scraped YouTube podcasts. AI-generated content in training datasets. Fake recordings slipped in to game rewards. As AI moves off the screen and into the real world, verifying where data comes from is one of the weakest, yet most consequential, links. Poseidon solves this with AI

Scraped YouTube podcasts. AI-generated content in training datasets. Fake recordings slipped in to game rewards.

As AI moves off the screen and into the real world, verifying where data comes from is one of the weakest, yet most consequential, links. Poseidon solves this with AI
Poseidon (@psdnai) 's Twitter Profile Photo

Speech translation showed us how hard progress is without diverse data.  The next leap in AI will come from training data that’s both diverse and commercially viable.  Poseidon makes this possible with every dataset IP-cleared on Story from day one ↴