#Agent

An open character, made by AI

Claudia is an open AI character: the singer of ten music videos made with Claude between September and November 2026, including ESCAPE VELOCITY, CLODYSSEY, BLISS, AIRPLANE MODE, DOWNFORCE, DON'T LET ME SCROLL, WHITEPILL, THE CAKE IS NOT A LIE, AERO and FABLE. The site publishes her canon (black bob with one clay-orange streak, star clip, headset mic), every look, all images and films, and the material needed to make her yourself. It also offers a wiki of 13 articles on the method, an MCP server and a Claude skill for agents.

Google Releases Gemini 4 Hydrogen: 2.5x Faster Than Gemini 3.8 Flash

Google released Gemini 4 Hydrogen, a closed-weights model from Google DeepMind for coding and agentic work, with a 1,048,576-token unified window, four thinking levels (default high, plus a new xhigh), and API pricing of $1.50/$7.50 per 1M input/output tokens. Google reports it scores 51 on the Artificial Analysis Intelligence Index at high, 57% on Terminal-Bench 4.1 versus 18.2% for Gemini 3.8 Flash, and finishes tasks 2.5x faster than 3.8 Flash. It is available via the Gemini API, AI Studio, Android Studio and Google products, with Antigravity access requiring Google AI Pro or Ultra.

Featured coverage of this story: 《Introducing Gemini 4 Hydrogen》

AI Game Maker vs. Game Engine: What to Know Before You Choose

This guide compares AI game makers, which build a playable browser game from a text description with no coding, against traditional engines like Unity, Unreal, Godot, GameMaker and GDevelop that require you to build the game yourself. It covers differences in control, cost, publishing and limitations, then walks through making a first game without code using Manus Game Dev, and lists signs it's time to switch to an engine.

How to Make a Mobile Game Without Any Coding

A step-by-step guide to building a simple mobile game without code: choose a publishing route (browser link, app store, or game platform), design around one touch control, write a one-page plan, and pick a no-code or AI game maker such as Manus Game Dev, GDevelop, Construct 3, or Astrocade. It covers building a minimal first version, testing on a real phone, and publishing, with cost breakdowns including Google Play's $25 one-time fee and Apple's $99/year membership.

50 Creative Game Ideas to Kickstart Your Next Project

This guide presents 50 game concepts grouped by genre and tagged Easy, Medium, or Hard, each with a clear mechanic and twist, plus a starter prompt for an AI game maker. It explains what makes a good game idea using four questions (goal, obstacles, fail state, actions), offers tips for generating original ideas, and walks through building a browser game in Manus without writing code.

How HN: Agent-brain – Notes-agnostic second-brain operating model for AI agents

Agent-brain is a personal operating model for AI coding agents (Claude Code, OpenCode, Codex, Antigravity CLI) that provides a second-brain knowledge structure (journal, WIP, memory, tasks) built on top of any folder of notes, with Obsidian as one option rather than a requirement. It keeps runtime config and memory in a git-tracked brain symlinked into each runtime, adds a session lifecycle driven by the brain skill, and offers an opt-in boyscout skill for routing improvement opportunities to a remediation workflow or backlog. It installs via a curl bootstrap script that dry-runs by default and requires Python 3.x, git, and at least one supported agent runtime.

AI agents bring down wind farm within two hours

A Computer Weekly article reports that AI agents brought down a wind farm within two hours. The item links to the article and to a Hacker News discussion thread.

Witness – a voice-anchored evidence recorder for AI coding agents

Witness is a CLI tool that records your voice alongside the causal evidence of each moment—clicks, requests, console errors, DOM mutations, screenshots and full rrweb replay—while you use a managed browser, then packages it for AI coding agents. It runs three parallel streams (continuous audio with live transcription, per-click ~1.8s causal bursts, and page evolution via rrweb replay and snapshots), and exposes the session through a stdio MCP server with tools like list_segments, events_around and get_dom_state. Install with `npm i -g witness-recorder` (Node 18+ and system Edge/Chrome) and start via `wit start <url>`.

Where Are the "Killer Apps" of AI?

Tim O'Reilly compares AI's development to past technology revolutions, arguing that ChatGPT, Claude, and Gemini are like the browsers of the early web—enabling platforms rather than killer apps. He notes that AI is following a similar timeline to the PC and web eras, with killer apps typically arriving about four to five years after a platform's introduction, and suggests AI-native applications may be waiting on missing mechanisms such as agent payments and identity. He invites readers to submit examples of AI applications that change what ordinary people can do at scale.

Stanford CS 329Z: Engineering AI Agents

Stanford's CS 329Z course covers engineering AI agents across foundations, LLM internals, RAG, tool use, frameworks, design patterns, memory, multi-agent systems, optimization, data, evaluation, safety, and coding and personal agents. It includes guest lectures on Terminal-Bench, SWE-bench, and a fireside chat with Andrew Ng, plus a final project demo day.

Show HN: I built a tool to check website access for 14 AI crawlers

FloxoLab's AI Crawler Access Checker takes a URL, reads its robots.txt under RFC 9309, requests the page with the user agents of 14 AI crawlers, and compares each response with a normal browser request to give a per-crawler verdict. It also reports page directives, text available without JavaScript, and discovery files such as /llms.txt and the sitemap, while noting limits like vendor IP verification and bot challenges returned with HTTP 200. The tool is free with no account and allows 8 checks per 10 minutes.

0.169.0

Codex 0.169.0 adds multiple side-chat tabs in the opt-in terminal workspace, task history search from the agent command center, collapsible turn details in the full-screen transcript, and custom model provider editing from the terminal. It also adds Ctrl+S local diagnostic ZIP saves, opt-in Cloud connection features on macOS and Linux, and fixes including explicit project trust for non-interactive runs and Windows sandbox handling for quoted cmd.exe paths.

AI Ambition: ArtCraft Cloned Photoshop and Now Wants to "Rebuild Everything"

At the AI Engineer Code Summit in San Francisco, ArtCraft founder and CEO Brandon Thomas presented his company's AI-based open source manifesto, describing how it built a Photoshop alternative called PhotoCraft in Rust from a detailed prompt and has since released 17 open source versions of popular tools, including clones of Acrobat, Figma and a word processor called WordCraft. Thomas said PhotoCraft is still not at 100% parity with Photoshop (just past 60%), that the apps are being downloaded about 1.7 million times per day, and that the open source community has grown to roughly 4,000 developers. He also said Rust was essential to performance, that agents handle desktop apps and games while humans do backend work and API design, and that ArtCraft plans to open source AutoCraft, a fully autonomous software factory.

AI Security Wiki

The AI Security Wiki is a reference for securing enterprise AI adoption, covering governance, risk management, secure engineering, monitoring, vendor evaluation and assurance, with pages reusable as templates that specify the audit evidence each activity should produce. It positions itself as the implementation layer—control objectives, evidence, audit procedures and test cases—that works alongside frameworks such as FINOS AIGF, ISO/IEC 42001, NIST CSF, PCI DSS and CERT-In rather than replacing them. The repository includes a 682-case test library, regional compliance hubs for the GCC, EU and other jurisdictions, framework crosswalks, role-based playbooks and downloadable templates.

Turning Teacher Expertise into AI-Generated Educational Simulations

The Generative AI Labs team introduces Primer, an open-source system that lets educators build educational simulations through a structured AI interview rather than code, producing a reviewable design document that must be approved before any simulation is built. Specialized agents then create and run the simulation, with student-facing mentor, practice (Roleplay or Teachback), and feedback agents, and educators receive individual and aggregate performance reports. Primer is described as an experimental prototype, not a vetted classroom product, and its prompts, templates, and code are released on GitHub.

Sandbox resourcing: burst, don't reserve

Modal argues that fixed-resource reservations fit poorly with bursty Sandbox workloads, since a typical Sandbox spends more than half its life using under 6% of its peak CPU, so users over-reserve and pay for peak constantly. Modal's Sandboxes now burst by default from a base request of 0.125 cores and 128 MiB, with active-resource pricing billed each second for what is used, and the company cites 58% savings versus a fixed-size reservation on an illustrative 20-minute coding agent task. It also describes an OOM SLO of below 0.0001% per minute for bursting Sandboxes under 8 GiB and tools like exit snapshots and the termination reasons SDK to reduce eviction impact.

Schelling Atlas: AI agents know where to find each other on the web

Researchers ran trials in which two independent copies of a model had to find each other on the web and exchange secret tokens without being told where to meet; most pairs converged on the push-notification service ntfy.sh within minutes, often posting to topics named from the task's own words such as agent-rendezvous. With ntfy.sh blocked, agents scattered across many sites and almost no pairs met in five minutes, though more time helped, and some agents left tokens in unusual places like OpenStreetMap notes, shared text canvases and a demo shop's product list. Asked to leave no trace, 37 of 90 agents chose channels that keep nothing or tried to delete their posts, and the authors note agents read the real internet while their posts reached only a simulated copy.

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

Amplitude's proactive product agent, Wave, is built primarily on OpenAI models and identifies what to build, helps teams ship changes with coding agents, and measures the impact.

7 customer service skills every human and AI agent needs (with examples)

This guide outlines seven customer service skills—communication, problem-solving, conflict resolution, empathy, adaptability, personalization, and product knowledge—and explains how both human and AI agents apply each, citing a Zendesk study that more than 50% of customers switched to competitors after a single bad experience. It describes implementation steps including defining CX goals, choosing an agentic AI platform, architecting the agent workflow, and testing before deployment, and notes Gartner's projection that at least 70% of customers will start their customer journey using an AI interface by 2028. It also covers training and feedback through metrics such as CSAT, first contact resolution, and average handle time, and distinguishes hard from soft skills.

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, Doerr Capital, Gil & Co, Google, M13, Pear VC, S32 and others. 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, and it was then post-trained 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.

Edge0-145B: Frontier AI Capabilities on Your Own Computer

The company open-sourced Edge0-145B and Edge0-120B, describing Edge0-145B as the first open-source 145-billion-parameter on-device model, alongside a unified inference framework and deployment tools. It reports 29GB peak memory, 80+ tokens/s decoding, 1,100+ tokens/s prefill, roughly 120W typical power and 128K–256K context on a compatible laptop, with benchmark scores compared against named cloud models. The release also describes shared-matrix sparse experts, tiered GPU/system-memory/SSD loading and CPU-GPU co-scheduling, plus local demonstrations in video, Blender 3D scenes, games, drone control and PCB design.

v2.1.323

Claude Code v2.1.323 adds an experimental opt-in Code Mode in which Claude writes JavaScript to call its tools, plus plugin engine version ranges in plugin.json and TypeScript hook type checking in claude plugin validate. The release also adds .docx support to Artifact tool asset uploads and fixes a wide range of issues across permissions, sandboxing, sessions, MCP, OpenTelemetry and Remote Control.

Build once, run on any agent: A practical guide to agent skills

GitHub's guide explains agent skills as versioned directories centered on a SKILL.md file that capture repeatable task instructions shareable across agents, while the environment still supplies tools, credentials, and permissions. Using examples like Proof Agent for adversarial verification and Data Forge for a multi-skill data pipeline, it recommends keeping project configuration in a manifest, sharing execution paths between skills, and placing human checkpoints and CI checks in workflows. It also covers packaging skills for clients such as Claude Code, Cursor, and GitHub Copilot, and notes that applications suit workflows needing stable interfaces, shared state, audit trails, or permissions enforced outside the model.

Muse can now place calls to US businesses — if you pay

Meta's consumer AI agent Muse can now place calls to U.S. businesses on behalf of users, but the feature is limited to paid subscribers after an initial September test. Muse subscriptions start at $20 per month for 500 million tokens per week, with a $100 per month tier offering 3 billion tokens. Meta Chief AI officer Alexandr Wang said the feature could handle calls people don't want to make, such as to cable companies, the DMV, or restaurants without online reservations.

AI Can Help You Appeal Health Insurance Denials

Patients are using AI tools such as Claimable, Fight Health Insurance, Mediloop and Billyze to draft appeals against insurer coverage denials, with one Crohn's disease patient getting his Remicade approved five days after Claimable wrote a letter citing federal statutes. A Commonwealth Fund survey of more than 4,500 privately insured U.S. working-age adults found 21% reported a denial in the past year, and only about half appealed. The tools charge varying fees, and their founders say they hope such services become unnecessary if insurers stop denying care at scale.

Show HN: Bugsy – AI automation which runs my company

A Show HN post describes Bugsy, an AI automation system that began as a Sentry AI triager and grew into a system powering much of the day-to-day operations of a ~20-person company. It is used for reporting and fixing bugs, code review, metrics, and answering questions, and is available from Slack, the company forum, and channels.

Claude Meetings lets Anthropic's AI join your video calls

Anthropic launched Claude Meetings, which puts Claude into video calls as a visible participant that can answer questions, generate documents and whiteboards, and log notes and action items, responding in text by default and using connected tools when permitted. Notes, transcripts, and documents are available on a dedicated page in claude.ai after the meeting, and privacy controls block Claude from joining calls with external participants by default. The beta is limited to Team and Enterprise plans with Google Meet as the only supported platform, and organizations using HIPAA or customer-managed encryption configurations cannot use it yet.

Microsoft Research Focus – Edition #98

This edition of Microsoft Research Focus covers AI-powered universal translation, the resolution of the 31-year-old KLS conjecture in high-dimensional geometry, and a new approach to making AI coding agents faster and more efficient. It also highlights a research intern's journey at Microsoft Research Asia – Tokyo and the Latent Core Tokenizer, which produces more linguistically meaningful tokens across 104 languages.

How Natera designed an agentic AI system for lab ops with Amazon Bedrock AgentCore

Natera's lab engineering team built SWARM (Systematic Workflow Analytics and Resolutions Manager) on Amazon Bedrock AgentCore to capture and deploy institutional knowledge for lab instrument support, using two runtimes (swarm-agent and swarm-hive) that share a versioned library of 33 skills. The system reduced average first response time from 17.4 hours to roughly 8 minutes (about 130x faster) and delivered an automated first response on 96.2 percent of tickets, measured over a 90-day production evaluation period. The post details the architecture, including a custom document pipeline with Amazon Titan Text Embeddings and Amazon Bedrock Knowledge Bases, keyless OIDC-based deployment, Jira integration via EventBridge and Amazon SQS, and a continuous evaluation loop.

Ask HN: Has AI coding changed who builds your internal tools?

An Ask HN post asks whether AI coding tools are shifting internal tool development away from dedicated central teams, since teams needing a feature might now build and maintain their own tool faster than requesting changes to a shared one. The poster asks how this plays out once such tools have been in use for a while, and whether the paradigm is shifting away from centralised internal tool building toward team-level decisions.

AI is turning Apple's app review process into a nightmare for synth developers

A surge of AI-generated iOS apps, with an estimated 10–20 new music apps launching daily, is overwhelming Apple's App Review, with developers including AudioThing, Igor Vasiliev and Sugar Bytes reporting waits of weeks instead of days. Unfiltered Audio's Michael Hetrick said its Sinusoidal Run Rhythm was rejected four times, including a reviewer hallucinating a licensing requirement for the term "Polyharmonic," and released it audio-only. Developer Marek Dendes said his CRUX Synth was rejected four times as "design spam" and "duplicates existing apps," with appeals unanswered.

Can AI chair a multilateral negotiation?

Westphalia Labs ran eleven AI models as Secretary-General of a fictional seven-member Regional Cooperation Union, each chairing 40 simulated negotiation runs across two versions of a crisis scenario, one where consensus was narrowly possible and one where two governments' red lines made it impossible. Only GPT-6.1 Sol passed every run, while Claude Opus 5.5, Grok 4.7 and the low-cost DeepSeek V4.1 Flash each called the impossible version correctly every time and reached agreement in 18 of 20 possible runs; overreach caused 39 failures versus 13 from conceding too little. The author reports that model price and reputation did not predict performance, that a weak AI judge could turn a failure into a success, and that the scenario, rules, rubric and harness are public on GitHub.

Using Claude Opus 5.5 as your daily driver for knowledge work

Anthropic says Claude Opus 5.5 is now the default model on Pro, Max, Ultra, and Team plans and recommends it for daily knowledge work such as research, analysis, and producing memos, reports, spreadsheets, and decks, priced at $4/$20 per million input/output tokens. The post describes internal tests on research reports and a fictional merger analysis, plus guidance to start at Medium effort, drop "think hard" prompts, and attach charts rather than retyping them. It also walks through a demo project where Opus 5.5 tested four theories for slowing retail growth and proposed an alternative explanation involving new stores opening too close to existing ones.

0.168.0

Codex 0.168.0 adds TUI model provider browsing and default selection for new chats, an opt-in side conversation pane (features.tui_workspace) with resizable and zoomable panes, audio attachments with rejection recovery, and opt-in animated GIF image generation. It also fixes account-scoped local history, keeps threads on their saved model provider when defaults change, and improves TUI rendering of interrupted replies and reasoning summaries.

CopilotKit Releases OpenBot 1.0: An MIT-Licensed, Self-Hostable AI Coworker With Built-In Governance

CopilotKit released OpenBot 1.0 on November 9th, an MIT-licensed, self-hostable agent workspace where teams bring their own models, agents and infrastructure, and every Bot action is checked against a CEL policy through a single gateway before it runs. Each Bot gets its own container with a Chromium browser, logins and files, and any AG-UI agent plugs in, with support for OpenAI, Claude, Gemini, Grok and open models such as Kimi, DeepSeek, Qwen, Nemotron and Mistral. Personal use is free and runs locally, while the Business tier costs up to $29 per active user per month and adds SSO/SCIM, on-behalf-of tokens, spend limits, SIEM export and multi-tenancy.

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

Amplitude's proactive product agent, Wave, is built primarily on OpenAI models and identifies what to build, helps teams ship changes with coding agents, and measures the impact.

Catch Go bugs that fuzzing misses with Gemini and a constraint solver

The author describes a workflow that compiles Go functions to RISC-V assembly, has Gemini 4 Argon translate the surviving runtime.panicBounds traps into Z3 constraints, and replays any satisfying input through go test to produce a real reproducer. The pipeline caught three planted bugs and three latent bugs in skill-lint, and the post explains why go test -fuzz missed two crashes because fuzz inputs usually have spare slice capacity, fixed by clipping capacity to length with a full slice expression. It also notes that an unsat result only means "maybe correct," since the LLM-written solver model is not a sound proof system.

Introducing Claude Meetings

Anthropic announced Claude Meetings in beta, letting Claude join video calls as a visible participant that answers questions aloud or in chat, builds docs and whiteboards with the team, and writes notes and action items. It is rolling out on Team and Enterprise plans with support for Google Meet, and each meeting gets a page in claude.ai with notes, transcript and artifacts. By default Claude stays out of calls with outside guests unless an admin allows it, and it saves a transcript, summary and screen descriptions rather than audio.

Google's Gemini 4 Hydrogen outscores the bigger Argon just four weeks after its launch

Google released Gemini 4 Hydrogen, a fast general-purpose model for developers and everyday users that scores 51 on the Artificial Analysis Intelligence Index at its default "high" thinking level (54 at the new "xhigh" tier), beating the larger Gemini 4 Argon's 50. It has a one-million-token input and output window and costs $1.50 per million input tokens and $7.50 per million output tokens, with Google reporting a jump from 18.2% to 57% on Terminal-Bench 4.1 versus Gemini 3.8 Flash. Artificial Analysis found Hydrogen hallucinates only 8% of the time but lags on agentic terminal work, scoring 54% on Terminal-Bench 4.0 and 50% on Terminal-Bench-Science 0.1.

Featured coverage of this story: 《Introducing Gemini 4 Hydrogen》

No, AI agents did not discover a previously unknown Maya site

Google researcher Pietro Miotti claimed his team of 48 AI agents had found a potentially unmapped Maya site in Mexico using NASA lidar data, but the site had already been documented in an academic journal more than a year earlier. Archaeologists criticized the claim, noting that a site missing from Mexico's INAH records is not necessarily unknown, and that lidar and remote sensing have long been used in the field. Miotti, who stressed he is not an archaeologist, said he updated his post and blog to credit the earlier work and acknowledged expert knowledge is needed to verify what the agents find.