Columns:
| # | Tweet | User | Followers | Views ▼ | Ratio | Engagement | Posted |
|---|---|---|---|---|---|---|---|
| 1 | [image] $620 million.
That’s how much capital rotated into a single AI subnet in 12 months.
Grayscale just filed its first AI crypto vehicle.
Kraken added 0G margin trading.
The market isn’t betting on “another L1.”
It’s betting on purpose-built AI infrastructure — where chain, | @Tunmzy234 ✓ | 974 | 9.7K | 10.0x | 64 | Mar 28 |
| 2 | [image] If you’re at EthCC Cannes this week, one talk you shouldn’t miss:
How do you verify what an AI model actually computed?
Not “trust me.”
Not “check the logs.”
Hardware-level proof that the inference was honest.
This is the missing layer for the entire agent economy.
It’s | @Tunmzy234 ✓ | 969 | 2.4K | 2.5x | 76 | Mar 29 |
| 3 | [image] Everyone’s celebrating 72 billion parameters.
We trained 107 billion — 48% larger — nine months ago.
Now we’ve published the verification framework to prove every node trained honestly.
Training the model is step one.
Proving it was step two.
That’s the shift toward trustless | @Tunmzy234 ✓ | 968 | 2.1K | 2.2x | 77 | Mar 30 |
| 4 | [image] Largest AI L1.
Decentralized Storage.
Decentralized Compute.
Decentralized Inference.
And more coming soon…
@0G_labs is building the blockchain for AI agents powered by modular decentralized AI infrastructure, combining scalable Layer 1 performance, verifiable compute, and | @Tunmzy234 ✓ | 969 | 244 | 0.3x | 55 | Mar 30 |