faang - Robotic Content

Shared Selective Persistent Memory for Agentic LLM Systems

by AI Generated Robotic ContentFAANG September 17, 2026Comments are Disabled

Agentic LLM systems that generate code through multi-turn tool use face a fundamental context problem: each session starts from zero, discarding the configuration choices, domain constraints, data schemas, and tool-use patterns that made previous sessions productive. Naively persisting entire conversation histories is both token-inefficient and counterproductive—irrelevant context degrades generation quality. We introduce shared selective persistent …

Improving HCLS AI reasoning with open-source agent skills

by AI Generated Robotic ContentFAANG September 17, 2026Comments are Disabled

AI agents built on foundation models (FMs) often misapply healthcare and life sciences (HCLS) decision frameworks, even when they’ve seen the guidelines in training and in the system prompt. Ask an agent to classify a TP53 missense variant using ACMG/AMP criteria. It will cite the correct framework but misapply evidence categories, skip population frequency thresholds, …

Cloud CISO Perspectives: How Google monitors AI threats and advances AI defenses

by AI Generated Robotic ContentFAANG September 17, 2026Comments are Disabled

Welcome to the first Cloud CISO Perspectives for September 2026. Today, Sandra Joyce shares the latest details on Google’s visibility into how attackers are using AI, and how we’re using AI to stop them. As with all Cloud CISO Perspectives, the contents of this newsletter are posted to the Google Cloud blog. If you’re reading …

Optimizing cost and latency with Amazon Bedrock prompt caching

by AI Generated Robotic ContentFAANG September 16, 2026Comments are Disabled

Prompt caching in Amazon Bedrock can reduce your input token costs by up to 90 percent when you repeatedly send the same context to foundation models, based on Amazon Bedrock prompt caching pricing. Without caching, a 10,000-token contract sent alongside 50 user questions means 500,000 input tokens billed at full price for content the model …

Abnormal AI: Amazon Bedrock AgentCore for agentic email security at scale

by AI Generated Robotic ContentFAANG September 15, 2026Comments are Disabled

AI agents now run in production at a scale of billions of operations a day, and a recurring architectural pattern has surfaced: agents need a compute scratch pad. Not only for coding tasks, but for data aggregation, analysis, verification, and any workflow where semantic reasoning alone isn’t enough. Abnormal AI, a behavioral security service that …

DiscoSign: Discourse-Aware Text to Sign Language Gloss Translation

by AI Generated Robotic ContentFAANG September 12, 2026Comments are Disabled

Sign language processing systems have traditionally operated at the sentence level, ignoring critical discourse phenomena fundamental to sign language comprehension. We introduce DiscoSign, a computational approach for discourse-aware text to sign language gloss translation grounded in linguistic research. We address three key phenomena within our modular Large Language Model (LLM)-based translation framework: (i) spatial coreference …

Monitoring production agent lifecycle with AWS DevOps Agent and AgentCore Evaluations

by AI Generated Robotic ContentFAANG September 12, 2026Comments are Disabled

Multi-agent systems in production experience issues in ways that traditional monitoring misses. For example, the agent can’t invoke its foundation model (FM) and returns an empty response. This could be because of a missing AWS Identity and Access Management (IAM) permission on an agent’s execution role that doesn’t throw a 500 error. A supervisor agent …

Reminder: Live Today — Building AI Agents, The Loop

by AI Generated Robotic ContentFAANG September 11, 2026Comments are Disabled

Quick note — The Loop’s first session is today, 4:30 PM PDT, live on Zoom. Free, monthly, and genuinely hands-on: what building an AI agent actually looks like, why the internet is shifting from static information to something built for agents and people, and what that shift means for anyone still thinking in old-SEO terms. This is for you …

Reduce LLM latency with prefix-aware routing on Amazon SageMaker Inference

by AI Generated Robotic ContentFAANG September 11, 2026Comments are Disabled

When you build an application on top of a large language model (LLM), the prompt you send to the model typically has two parts. There’s a fixed part that sets up context (instructions, reference documents, conversation history) and a variable part that contains the actual user input. Take a customer service bot as an example. …

Deploying Qwen3.8-2.4T-A95B on Amazon SageMaker HyperPod with vLLM

by AI Generated Robotic ContentFAANG September 10, 2026Comments are Disabled

On August 12, 2026, Alibaba’s Qwen team released Qwen3.8-2.4T-A95B. This is the first time a Qwen-Max-class model has been made available as open weights. With 2.4 trillion total parameters (95 billion activated per token), a hybrid linear-plus-full-attention architecture, and native context up to 262K tokens (extensible to 1M), Qwen3.8 targets the most demanding agentic and …