Just a quick reminder: already in February, we had the first models that were "instrumental in creating themselves." RSI is a progression that has been ongoing for some time.
AGENTS
-
Scobleizer: All agents will need crypto wallets soon
By
–
Yes, all of our agents are going to need a crypto wallet soon.
-
Automate AI Agent Development Lifecycle with Antigravity 2.0
By
–
Automate your Agent Development Life Cycle using Antigravity 2.0 and Gemini Enterprise Agent Platform.
— Shubham Saboo (@Saboo_Shubham_) 6 juin 2026
Build, Evaluate and Deploy AI Agents without even leaving Antigravity.
This is the WAY. https://t.co/V8hU0dygxC pic.twitter.com/xARU2aezlyAutomate your Agent Development Life Cycle using Antigravity 2.0 and Gemini Enterprise Agent Platform. Build, Evaluate and Deploy AI Agents without even leaving Antigravity. This is the WAY.
-
Frame tasks as questions to invite model critique and alternatives
By
–
a smarter alternative to "always use plan mode": always frame your task as a question, so that the model is invited to push back and rate the quality of the idea/suggest alternatives, rather than blindly execute what you SAID to do (which is often not precisely what you
-
Anthropic chart on Agent Teams, Workflows, and AI decisions
By
–
This chart from Anthropic is useful, since Agent Teams and Workflows are both very new and very powerful (and token hungry). On the other hand, maybe it doesn't matter as a lot of the decisions about which approach to use is from the AI itself & it often uses them in combination
-
ActiveGraph coding agent always provides trace and graph
By
–
and here's what a coding agent on activegraph looks like basically you always get a trace and a graph automatically
-
ActiveGraph deep research agent gives full trace of claims and sources
By
–
here's an activegraph based deep research agent that gives you full graph/trace of claims, sources, agent activity…
-
CEO Rodrigo Liang discusses heterogeneous AI systems and token speed on CNBC
By
–
On CNBC, our CEO @RodrigoLiang talks about the future of heterogeneous AI systems, why token speed and energy efficiency matter for agentic inference, and what’s ahead for us over the next 12 months
-
ActiveGraph AI runtime built around memory performs well on privacy benchmarks
By
–
even though @activegraphai is not a memory tool, it's a runtime built around memory so it can do well there cool to see a third party verify this and see that activegraph does well on privacy programs (from @harvey
's legal agent benchmark), which heavily relies on compliance
