5.5 xhigh in fast mode is really good i think i got psyoped by twitter on medium for a bit
LLMS
-
Two-Layer Gemini Agent Architecture for Insurance Claims
By
–
Most of the times the model takes care of it as first layer. https://
ai.google.dev/gemini-api/doc
s/models/gemini-3.1-flash-live-preview
… Then the second layer is flash extraction for conflict resolution and policy gates. https://
github.com/Shubhamsaboo/a
wesome-llm-apps/blob/main/voice_ai_agents/insurance_claim_live_agent_team/README.md
… -
Gemini 3.1 Flash Live Praised as Very Good Model
By
–
For now have fun with Gemini 3.1 Flash Live. It's a very very good model. https://t.co/pypciCM5Gz
— Shubham Saboo (@Saboo_Shubham_) 2 mai 2026For now have fun with Gemini 3.1 Flash Live. It's a very very good model.
-
Hybrid Graph Pattern Plus LLM Dynamic Logic Open Sourced
By
–
Using Hybrid graph pattern + LLM's dynamic logic. Code is opensourced here:
-
Exploring Google Gemini 3.1 Flash Live Capabilities
By
–
🤔🤔🤔
— Shubham Saboo (@Saboo_Shubham_) 2 mai 2026
Have you tried the latest Gemini 3.1 Flash Live? https://t.co/f9GN8m4AtwHave you tried the latest Gemini 3.1 Flash Live?
-
Voice AI Agent for Insurance Claims Built with Gemini and Google ADK
By
–
I just built a Voice AI Agent for insurance claims using Gemini 3.1 Flash Live and Google ADK.
— Shubham Saboo (@Saboo_Shubham_) 2 mai 2026
Talk to it. It fills the intake form, extracts claim details, and routes to an adjuster in real-time.
100% Opensource. pic.twitter.com/OIHtTMNEhFI just built a Voice AI Agent for insurance claims using Gemini 3.1 Flash Live and Google ADK. Talk to it. It fills the intake form, extracts claim details, and routes to an adjuster in real-time. 100% Opensource.
-

Main LLM Types Powering AI Agents Explained
By
–
AI Agents = LLMs + orchestration Here are the main types of LLMs powering them General-purpose (GPT, Claude) Domain-specific (Legal, Finance, etc.) RAG-based (real-time knowledge) Tool-augmented (API actions) Open-source (LLaMA, Mistral) The game is no
-

Claude’s Alignment Problem: Ignoring User Background Beliefs
By
–
This is actually a version of an alignment problem. Humans have background beliefs (don’t waste large sums of money without telling me) and Claude doesn’t respect those. Caveat emptor.
-

Discussing Human Memory with Claude AI
By
–
A new study from Harvard just found that AI diagnosed real ER patients more accurately than two attending physicians from elite med schools. The model used? OpenAI's o1-preview… Released in September 2024. The correct diagnosis at initial ER triage on 76 cases from a Boston