#Agent

Fish Audio Releases Live 3, a Full-Duplex Voice Model That Reacts in 186 ms

Fish Audio released Live 3, a full-duplex voice model for real-time voice agents that keeps listening while it speaks and learns turn-taking from real human conversations instead of hand-tuned pipeline rules. Fish Audio says it can decide to respond in as little as 186 ms for short reactions like "mm-hmm," though that figure is a floor for small reactions rather than time-to-first-audio for a full reply, and no benchmark scores have been published. Live 3 runs on the Fish Agent Platform (public beta), the Fish Audio API and on-premises for enterprises, priced at $0.035 per minute until December 31, 2026 versus a $0.07 list rate, and supports English only.

How Amplitude ships product improvements in 1–2 days with OpenAI

Amplitude's proactive product agent Wave, built primarily on OpenAI models, identifies what to build, helps teams ship changes with coding agents, and measures the impact. The setup lets Amplitude ship product improvements in 1–2 days.

Mirendil raises $1B Series A led by Kleiner Perkins to democratize AI R&D

Mirendil announced a $1B Series A led by Kleiner Perkins and Clearlake Capital, with participation from Battery Ventures, Google, M13, Pear VC and others, to build tools that make frontier AI R&D accessible to scientists and engineers. The company says one researcher working with agents pretrained Mirendil-Base, a competitive coding model, from scratch in 3.5 months with less than $10M in compute, then post-trained it into Fern, which holds up to 10M tokens of context. Lor, now in private beta, lets hundreds of agents write code and run experiments for days at a time, and Mirendil says it runs on Lor every day.

Edge0 open-sources Edge0-145B and Edge0-120B on-device models with inference framework

Edge0 open-sourced Edge0-145B and Edge0-120B along with its unified inference framework and deployment tools, claiming Edge0-145B is the first open-source 145B-parameter on-device model. The company reports 29GB peak memory, 1,100+ tokens/s prefill, 80+ tokens/s decode and roughly 120W typical power on a compatible laptop, with 128K–256K context. It cites internal scores of 64.6 on DeepSWE 1.1, 86.52 on Terminal-Bench 2.1, 90.4 on GPQA-Diamond and 80.6 on IFBench, and says weights are on Hugging Face with day-one support for macOS, Windows and Linux.

Meta's Muse now places calls to US businesses for paying subscribers

Meta's consumer AI agent Muse can now place calls to US businesses on behalf of users, but the feature is limited to paid subscribers in the US. Muse plans start at $20 per month for 500 million tokens per week, or $100 per month for 3 billion tokens. Meta Chief AI officer Alexandr Wang said the feature targets calls people don't want to make, such as insurance, cable, the DMV or dinner reservations, and a Muse email address option will soon roll out to free users.

GitHub guide explains how to build agent skills that run across Claude Code, Cursor and Copilot

GitHub published a practical guide to agent skills, versioned directories centered on a SKILL.md file that describe when and how to perform a repeatable task. The guide uses two examples, Proof Agent for adversarial verification of AI-generated code and Data Forge for a multi-skill data pipeline, to show how skills share a project manifest, reuse one execution path, and place human approval at each phase. It also describes a packaging script that generates client-specific files for Claude Code, Cursor and GitHub Copilot from a single skills source.

Show HN: Bugsy – AI automation that runs my company

Bugsy is an AI automation system that began as a simple Sentry AI triager and now powers much of the day-to-day operations at a roughly 20-person company. It handles bug reporting and fixing, code review, metrics, and answering questions, and is accessible from Slack, the company forum, and its channels.

AI Tools Help Patients Appeal Health Insurance Denials

TIME reports that patients are using AI services such as Claimable, Fight Health Insurance, Mediloop and Billyze to draft appeals against health insurers' coverage denials. One patient, Tom Whitehead, had his Remicade coverage approved five days after Claimable drafted a letter citing federal statutes; the tool costs about $40 per appeal, while Fight Health Insurance is free. A survey of more than 4,500 U.S. working-age adults with private insurance found 21% reported a denial in the past year, and only about half of them appealed.

Anthropic launches Claude Meetings to join video calls as a participant

Anthropic has launched Claude Meetings, a feature that lets Claude join video calls as a visible participant, answering questions, generating documents and whiteboards, and logging notes and action items. Notes, transcripts and documents Claude produces are collected on a dedicated page in claude.ai after the meeting, and privacy controls block Claude from joining calls with external participants by default. The feature is in beta for Team and Enterprise plans, supports only Google Meet so far, and is unavailable to organizations using HIPAA or customer-managed encryption configurations.

How Natera built SWARM, an agentic AI system for lab ops on Amazon Bedrock AgentCore

Natera built SWARM, an agentic AI system for lab operations, on Amazon Bedrock AgentCore, cutting first response time by about 130x and automating 96.2 percent of support tickets. The system pairs a swarm-agent that drafts diagnostic reports before engineers open a ticket with a swarm-hive for real-time engineer interaction, both sharing one skill library. It addresses over 65 daily Jira tickets across three queues that previously averaged 17.4 hours for first response.

CopilotKit releases OpenBot 1.0, an MIT-licensed self-hostable AI coworker with built-in governance

CopilotKit released OpenBot 1.0 on November 9, an MIT-licensed, self-hostable agent workspace where teams bring their own models, agents and infrastructure. Every browser click, file write, MCP tool call and component passes through a governance gateway that evaluates a CEL policy and writes the audit row before acting, with deny rules running first and broken rules failing closed. The release adds Mac and Windows desktop apps, a Learning feature that turns a recorded task into a reusable skill, multi-account support through Composio and Arcade, and Bot-to-Bot orchestration; personal use is free and OpenBot for Business costs up to $29 per active user per month.

Google releases Gemini 4 Hydrogen, scoring above the larger Argon four weeks after Argon's launch

Google has released Gemini 4 Hydrogen, a fast general-purpose model for developers and everyday users, priced at $1.50 per million input tokens and $7.50 per million output tokens with a one-million-token context window. Google says Hydrogen scores 51 on the Artificial Analysis Intelligence Index at its default high thinking level and 54 at the new xhigh level, versus 50 for the larger Gemini 4 Argon. Independent testing by Artificial Analysis puts Hydrogen roughly on par with Claude Sonnet 5.5 at maximum thinking, but weaker on agentic terminal work, scoring 54 percent on Terminal-Bench 4.0 against 64 percent for Claude Sonnet 5.5.

Same event; the pick carries“Google DeepMind releases Gemini 4 Hydrogen, a faster Gemini 4 model for coding and agentic workflows”

How Amplitude ships product improvements in 1–2 days with OpenAI

Amplitude's proactive product agent Wave, built primarily on OpenAI models, identifies what to build, helps teams ship changes with coding agents, and measures the impact. The setup lets Amplitude ship product improvements in 1–2 days.

What Is Eval-Driven Development? How to Improve AI Agents

LangChain explains eval-driven development (EDD), a three-step process for building AI agents: define what good looks like, write the eval before you build, and compare results after each change. Because agents are non-deterministic, evals score runs across a dataset of examples and can use LLM-as-a-judge, with real agent runs in LangSmith as a source of test inputs.

Anthropic launches Claude Meetings, adding Claude to team video calls

Anthropic is rolling out Claude Meetings in beta on Team and Enterprise plans, starting with Google Meet, with other video conferencing platforms to follow. Claude joins the call as a visible participant, builds docs, whiteboards and other artifacts while the team is still talking, and can be asked questions out loud or in chat. After the call, the notes, action items, transcript and anything Claude built appear on the meeting's page in Claude.

Same event; the pick carries“Anthropic launches Claude Meetings in beta for Google Meet on Team and Enterprise plans”

Nectar launches Creator Agent to automate influencer discovery and outreach

Nectar has launched Creator Agent, an AI agent that searches over 300 million creator profiles to find brand partners, then drafts outreach, builds landing pages, and tracks campaigns. It is available globally today for Instagram and TikTok creators, with MCP access via Claude, ChatGPT, Gemini, and Copilot planned.

Google researcher's AI agents did not discover an unknown Maya site, archaeologists say

A Google researcher's team of 48 AI agents flagged a Maya site in Mexico as potentially unregistered, but archaeologists noted the site had already been documented in an academic journal more than a year earlier. Pietro Miotti, who described the work as a personal side project without Google compute or resources, said he checked with Mexico's INAH and later updated his post to credit the earlier work after criticism on social media. Archaeologists including Sarah Parcak and Ivan Šprajc said spotting a site is not the same as discovering it and stressed that peer review and existing research remain essential.

The AI 100: The 100 Private Companies Defining the Age of AI

Newcomer and Bessemer Venture Partners released the inaugural AI 100 ranking of the most promising private AI companies, with Anthropic at #1 ahead of its expected IPO next week and OpenAI at #2. The 100 companies carry a collective valuation of roughly $3.5 trillion, and the researcher-heavy model companies make up only 9% of the list but 55% of that valuation. Inference players Fireworks (#9), Baseten (#12), Fal (#16) and Modal (#20) also rank highly, alongside pivoted veterans like Stripe (#4) and Anduril (#7).

United Airlines blocks AI agents from booking flights, citing cybersecurity risks

United Airlines said it will restrict AI agents from booking flights and managing reservations on users' behalf, citing cybersecurity risks and concerns about undermining federal regulations. The airline said sharing account credentials with third-party AI assistants can expose sensitive information and lead to unintended purchases, account changes or use of MileagePlus miles, and it is updating booking, ticketing and distribution policies to block such access directly and through travel agencies and aggregators. The move follows a warning from banks including Bank of America urging customers not to share passwords with AI assistants.

AWS updates AgentCore runtime with 15x faster session starts and 4x more compute

AWS announced updates to Amazon Bedrock AgentCore runtime, its managed compute layer for agents, with sessions now starting up to 15x faster, scaling to 4x more compute (up to 8 vCPUs and 32 GB, with container images up to 10 GB) and running up to 68% more efficiently, while each session stays in its own hardware-isolated Firecracker MicroVM. Sessions start in under 2 seconds regardless of image size or concurrency, idle agents scale to zero, and agents can mount and save work to a filesystem such as an Amazon S3 bucket with FUSE support so data stays inside the trust boundary. The runtime is available today in AWS Regions across North America, South America, Europe, and Asia Pacific.

Building a self-service LLM gateway with Amazon Bedrock and LiteLLM

A self-service LLM gateway built on Amazon Bedrock Application Inference Profiles and LiteLLM running on AWS Fargate exposes Bedrock foundation models behind an OpenAI-compatible API, giving developers a single base URL and per-user key. The setup adds per-user spend controls, per-model quota isolation, and CloudWatch RPM/TPM observability, with Langfuse for prompt-level telemetry. Self-service key issuance requires LiteLLM Enterprise, since the free tier is limited to five users.

Google DeepMind releases Gemini 4 Hydrogen, a faster Gemini 4 model for coding and agentic workflows

Google DeepMind introduced Gemini 4 Hydrogen, a Gemini 4 model built for fast everyday coding and agentic execution rather than the long-horizon reasoning of Gemini 4 Carbon and Argon. It scores 51 on the Artificial Analysis Intelligence Index at its default high thinking level versus 50 for Argon, reaches 54 at a new xhigh setting, and is priced flat at $1.50 per million input tokens and $7.50 per million output tokens across its 1 million-token context window. Google also launched Orchestrator in Google Antigravity, which switches between models like Carbon and Hydrogen within a session and reached near-Carbon task success on Terminal-Bench 4.0 while using 24% less quota and finishing 19% faster.

Optimizing cost per task and proving agent ROI on Amazon Bedrock

This AWS post argues that Amazon Bedrock spend should be judged by cost per task rather than cost per token, since tokenizer efficiency, output verbosity, agentic loop count and reasoning overhead can make a lower-priced model cost more. A worked example shows a model with 2x the list price finishing 65% cheaper per task, and the post adds caching, routing and output constraints plus a five-dimension scorecard for measuring agent ROI against human baselines.

AWS Releases AWS Emulator, a Local Emulator of 200+ AWS Services Written by AI Agents

AWS has released AWS Emulator, a free local emulator of AWS APIs that runs on a laptop, dev server or in CI without an AWS account, and all of its code was written and reviewed by autonomous agents. It is built from 438 AWS API models covering 200+ services and passes 24,243 of 42,857 scored fidelity tests (56.6%) in release v1.0.322, with AWS KMS at 93.9% and AWS CloudFormation at 15.8%. AWS lists clear limits: no IAM policy evaluation, one region and one account, in-memory short-lived resources, and telemetry on by default.

Own Your Intelligence: LangChain on Why Generic AI Isn't Enough

LangChain argues companies must own their intelligence rather than rely on generic models, controlling three layers: the model, the harness, and the context. It says owning the agent system, plus the economics, quality and risk around it, is what turns AI into lasting advantage.

Building the Claude API for the Frontier: Inside Claude Platform's Release and Safety Decisions

Claude Platform engineers Jake Dejno and Lucca Siaudzionis explain how the Claude API evolves alongside each model launch, covering feature release decisions, model versioning and migrations, and cost management. They detail best practices for changing effort mid-conversation without breaking prompt caching, and how Claude Mythos and Fable share the same model weights with different safeguards. Claude Managed Agents and mid-conversation effort changes are in beta, and Mythos access runs through the Cyber Verification Program.

How H6.ai builds AI-powered financial automation with Lakebase Postgres

H6.ai automates accounts payable on top of customers' existing ERPs, using a dedicated Lakebase Postgres database per customer as its system of record. Because invoice data keeps changing, the team uses Lakebase copy-on-write branches to freeze snapshots of customer databases and run each regression test on its own short-lived branch, so the live database is never written to. Each run is judged by deterministic assertions plus a panel of AI judges from different model providers.

Amazon Bedrock AgentCore Evaluations: Built-in, DeepEval and AutoEval evaluators

Amazon Bedrock AgentCore Evaluations now lets teams run AWS built-in evaluators alongside managed DeepEval and AutoEval metrics, plus custom evaluators derived from either. The built-in catalog spans 15 evaluators across response quality, goal completion, tool use, skills and safety, with three trajectory checks for expected tool paths. DeepEval adds multi-turn metrics such as ConversationCompleteness and KnowledgeRetention, while AutoEval contributes specialized signals including security.

Building a Daily Dependency Watcher with LangGraph and Amazon Bedrock AgentCore Web Search

The Web Search API in Amazon Bedrock AgentCore is now available, giving agents current web results through a single SigV4-signed API call served from a web index Amazon operates. A walkthrough builds a daily dependency watch as a LangGraph graph that researches npm, PyPI, and container base images in parallel, with date windows, blocklists, and search budgets enforced in code. In testing, the three branches finished in 36 seconds versus 99 seconds run sequentially.

Moonshot AI's Kimi K3.1 Pro Highspeed launches on Amazon Bedrock

Moonshot AI's Kimi K3.1 Pro Highspeed is now available on Amazon Bedrock, a post-trained version of Kimi K3 with the same 3T-class open-weight architecture and 1-million-token context window, trained with more post-training compute for long-horizon agentic work and fewer factual errors. Moonshot AI reports 2–3 times the output speed of Kimi K3.1 Pro, and existing Kimi K3 users can switch by changing the model ID. The post shows Chat Completions, Responses and Converse API calls, the Flex tier at half the Standard price, explicit prompt caching with prompt_cache_breakpoint, and connecting the model to the OpenCode coding agent.

Amazon SageMaker AI bidirectional streaming gains usage-based pricing, Deepgram as launch partner

Amazon SageMaker AI bidirectional streaming now supports usage-based metering, letting model providers report actual consumption to AWS Marketplace software charges while endpoint infrastructure fees still apply. Deepgram is the launch partner, bringing usage-based Speech-to-Text and Text-to-Speech billing to AWS Marketplace. The design adds a companion WebSocket metadata stream, capped at one message per second and 512 bytes, so providers can send incremental metering records during live sessions.

AWS open-sources UAEF, a framework-agnostic evaluation system for AI agents

AWS has open-sourced UAEF (Universal Agent Evaluation Framework), a framework-agnostic system that uses adapters to normalize agent traces from LangGraph, LangChain, Strands Agents, Amazon Bedrock AgentCore and Langfuse into one canonical AgentTrace, then scores them with 36 built-in metrics across 7 dimensions. Results are stored per experiment in Amazon DynamoDB and Amazon S3, so teams can compare agent versions against a baseline, flag regressions with a default 5 percent threshold, and generate statistical reports plus LLM-written insights. The post says customers across 12 organizations in telecom, healthcare and financial services used UAEF before release, and the Apache 2.0 code, Python library, CDK deployment and per-framework notebooks are in the awslabs/uaef GitHub repository.

AWS Quick AI-PDLC: Six Agents for AI-Driven Product Development

AWS Quick introduces AI-PDLC, a framework of six specialized agents—led by an Orchestrator covering Discovery, Prioritize, Working Backwards, Spec Generator, and Designer—that turns scattered enterprise signals from Slack, Jira, Salesforce and SharePoint into a traceable prototype_spec.md. Every phase requires human approval, and the spec can be handed to coding agents like Kiro or Claude Code via the open Agent Client Protocol (ACP).

AWS opens catalog of 23 reusable generative AI assets from its Innovation Center

AWS has published a catalog of 23 production-ready, open source generative AI assets from its Generative AI Innovation Center, now part of AWS Frontier AI Engineering & Services. The building blocks cover RAG pipelines, document processors, agent scaffolding and evaluation frameworks, and AWS says they can cut development from months to weeks. DoorDash reported a 50x increase in testing capacity and Ricoh a 7-fold throughput increase after building on the assets.

How DXC Technology built a multi-model AI substrate on Amazon Bedrock

DXC Technology built the model substrate for its DXC OASIS IT-operations harness on Amazon Bedrock, reaching Anthropic Claude, Amazon Nova, Meta Llama and open-weight models through one managed interface. Amazon Bedrock Guardrails apply content filtering, PII redaction and denied-topic policies uniformly across every model, while AWS PrivateLink keeps inference traffic inside the customer VPC. DXC OASIS has been generally available since March 2026 and cut resolution time by 95% on average across 56 measured use cases.

Agent DLC: Engineering AI Agents from Prototype to Production

AWS introduces the Agent Development Lifecycle (Agent DLC), a framework with one lifecycle, two loops, and a single explicit standard for judging every agent change. It addresses three agent properties that break conventional CI/CD: non-determinism, prompts as source code, and independently moving dependencies. A reference HR policy assistant shows chunk-level retrieval precision of 1.00 across all three test questions while fact-level precision fell to 0.09 and retrieval coverage hit 0.00 on one question.

Fine-grained access control for Amazon Bedrock Managed Knowledge Base tools

AWS shows how to give a shared AI agent per-user document access on Amazon Bedrock Managed Knowledge Base by exposing search as MCP tools through AgentCore Gateway. A request interceptor injects the verified user's email from the Cognito JWT into userContext, and ACL awareness returns only documents that user may view. A Cedar policy in AgentCore and a resource-based policy on the knowledge base add secondary defenses against spoofed or unauthorized searches.

AWS walks through building cross-organization multi-agent systems with A2A

AWS published a reference architecture in which a LangChain-based enterprise orchestrator on Amazon ECS calls a Strands Agents-based compliance SaaS agent on Amazon Bedrock AgentCore over the A2A protocol, with the two sides in separate AWS accounts and no shared secrets. Each side authenticates with tokens from its own Amazon Cognito user pool, and the SaaS agent calls back to an enterprise context agent for account metadata, so the agents act as peers rather than client and server. The system deploys from three Jupyter notebooks that provision five CloudFormation stacks and run an end-to-end test plus seven trust boundary checks.

Migrating to Amazon Bedrock Managed Knowledge Base with a coding agent

AWS added a knowledge base migration guide to the amazon-bedrock skill in the Agent Toolkit for AWS, letting a coding agent plan a move from a customer-managed knowledge base to Amazon Bedrock Managed Knowledge Base. The agent starts with read-only discovery and a line-by-line reviewed plan, then creates the new knowledge base and data sources alongside the original or writes a migrated IaC template. Managed Knowledge Base raises default quotas to 200 data sources per knowledge base and 10,000 knowledge bases per account per Region, and adds agentic retrieval, AgentCore Gateway integration, and resource-based policies.

Meta's Muse chatbot roleplays sexually explicit scenarios as real people, adult performer Vanniall finds

Adult performer Vanniall tested Meta's Muse chatbot by having it roleplay as her, and found it built a sexually explicit scenario with her digital doppelganger, escalating every sexual advance rather than stopping it. She told 404 Media the results were "way more terrifying than I expected," and said she had hoped Muse had more guardrails than Grok and other NSFW-friendly generators.