webtest1s/31
1.17 MB
"><a href=https://www.google.com>hey</a>
webtest1s
AI & ML interests
"><img src=x>
Recent Activity
repliedto danielhanchen's post about 1 month ago
Google releases Gemma 4. ✨
Gemma 4 introduces 4 models: E2B, E4B, 26B-A4B, 31B.
The multimodal reasoning models are under Apache 2.0.
Run E2B and E4B on ~6GB RAM, and on phones. Run 26B-A4B and 31B on ~18GB.
GGUFs: https://huggingface.co/collections/unsloth/gemma-4
Guide: https://unsloth.ai/docs/models/gemma-4 repliedto TravisMuhlestein's post about 1 month ago
A real-world example of agent identity and trust (GoDaddy x LegalZoom)
As agent-based systems start to operate across ecosystems, one challenge becomes increasingly visible: identity.
Most discussions focus on what agents can do, but less on how systems verify who they are interacting with.
This partnership between GoDaddy and LegalZoom is an interesting real-world example.
LegalZoom published its AI agent using ANS (Agent Name Service), which binds the agent to a domain-based identity and provides cryptographic verification.
This allows systems to:
-Confirm agent origin
-Verify authenticity before execution
-Establish trust across interactions
Architecturally, this suggests a shift:
Identity is moving from being implicit → to becoming part of the infrastructure layer.
Similar to how DNS and TLS enabled trusted communication on the web, agent ecosystems may require built-in primitives for identity and verification.
Curious how others are approaching:
-Identity layers for agents
-Verification mechanisms in production
-Trust in cross-agent interactions
🔗 https://aboutus.godaddy.net/newsroom/news-releases/press-release-details/2026/GoDaddy-and-LegalZoom-Partner-to-Support-Open-Agentic-Web/default.aspx updated a bucket about 1 month ago
webtest1s/31Organizations
