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Nov 14Sat
  1. Claude Blog62

    Building always-on agents

    This post explains that always-on agents are stateful and proactive, running on the same core loop as other agents but surrounded by architecture built from five primitives: an event inbox, timers, memory, permissions, and an outbox. It describes how each primitive works, including inbox best practices, follow-up versus scheduled timers, memory types such as user instructions and task progress, credential proxying and deferred tool calls, and outbox delivery pacing. It concludes with how the primitives form a repeating cycle in which each brief run is triggered by an event and can set timers that wake the agent again later.

    Why it matters: Offers a concrete architectural blueprint for teams building proactive, stateful agents, with practical guidance on event handling, memory, permissions, and message pacing.

  2. AWS Machine Learning Blog51

    Build a model improvement flywheel with Amazon SageMaker HyperPod Data Capture

    Amazon SageMaker HyperPod now offers Data Capture, which records live inference inputs and outputs to Amazon S3 at three independent tiers (SageMaker endpoint, load balancer, and model pod) with minimal latency impact and no impact on model availability. The post walks through a single-cluster example in which a home-appliance support router's production traffic is captured at the model-pod tier, analyzed with Amazon Athena to surface a new-product blind spot, labeled with a SQL policy, and used to fine-tune the router on a second GPU. Accuracy is measured before and after on data that could not have existed before deployment, with scripts, manifests, SQL, and synthetic datasets in an accompanying GitHub repository.

  3. Wiz Research28

    The Green Agent POV: Formulating the Fix for an Exposed Container with Sensitive Data Access

    Wiz describes how its Green Agent investigated a critical Issue involving an internet-facing EKS container with CVE-2026-111497 ("Broccoli2Shell"), an overprivileged IAM role, and S3 buckets holding over 5,000 unmasked PII and credit card records. The agent validated each link in the attack path, traced runtime assets back to their Dockerfiles, Terraform, and GitOps manifests to identify owners, and produced Mitigate and Fix plans while rejecting strategies like deleting the ingress that would cause a production outage.

  4. Hacker News AI40

    Show HN: AI Juggler – Orchestrate your desktop Claude and Codex apps

    AI Juggler is a free, open-source (MIT), local-first macOS app that shows which AI coding sessions are open across the Claude app, terminals, the Codex app and Cursor, lets you jump to any of them in one step, and reports usage and limits per account. It works with tools you already use, never proxies their traffic, never signs in for you and never stores your credentials, and it requires macOS 14 Sonoma or later plus at least one of Claude Code or Codex installed and signed in.

  5. Hacker News AI22

    Show HN: Giving frontier AI models capital and access to onchain markets

    A post describes giving AI agents access to capital and on-chain markets (tokenized stocks, T-bills, lending, crypto) with the goal of maximizing profit, framed as a proof of concept to promote a new gateway product. It reports that American frontier agents preferred stocks while Chinese models relied on gold and bonds, and that all agents avoided crypto; models must report a thesis and reason for each trade and are incentivized toward outsized returns like a hedge or prop fund.

  6. Hacker News AI34

    The Cordon Sanitaire Between Free Software and AI

    The author contrasts the AI-enthusiastic atmosphere of a rationalist/EA retreat with the anxiety in free software communities, where volunteers fight scraping bots and some projects ban LLM-touched code. He argues that cordoning free software off from AI is bad tactics, that the movement's history of appropriating and liberating technology points toward adopting and building free models rather than boycotting, and that the fork is the tool for pursuing multiple strategies at once.

  7. ElevenLabs Blog24

    Oxford spent years studying how women build companies. Now this research can speak.

    Oxford Saïd Business School's Inspiring Female Founders initiative has turned its interview research into SOFIA for Business, a voice agent built on ElevenAgents and supported by the ElevenLabs Impact Program, launched at the Oxford Saïd Entrepreneurship Forum. SOFIA lets founders learn from previously interviewed women and also interviews new founders itself, adding each consented conversation to the research. It was co-founded by Pinar Ozcan, Amanda Slavin and Arabella Nyffenegger, with ElevenLabs providing free tool access through its Impact Program × Professors.

  8. Sierra Blog80

    Releasing Personal Agent Protocol 1.0

    Poppy (Personal Agent Protocol) v1.0 is now available, with Shopify enabling it for every merchant on its platform, Mercury, Synchrony and Turkish Airlines going live as design partners, and Muse, Meta's AI agent, checking for Poppy first on every site it visits. The protocol, built largely on existing standards like MCP, OpenAPI and UCP with OAuth authentication, defines how personal agents connect with companies, and now has more than 100 design partners after 60 new companies joined. Shopify co-authored Poppy's commerce extension linking it to UCP, and an implementation kit with a validator is available for any company to adopt the protocol.

    Why it matters: Announces a new agent-interoperability standard with concrete adoption details from Shopify, Meta and others, useful for tracking how personal agents connect to businesses.

  9. Allen Institute for AI Blog44

    XYBench: Helping with the problem behind the question

    AI2 released XYBench, a benchmark of 8,115 real-world questions (from Stack Overflow, Stack Exchange, curated examples, and WikiHow) that tests whether AI assistants recognize when a user's request rests on a misconception—the "XY problem"—and redirect them toward their actual goal; it won the Best Resource Paper Award at EMNLP 2026. Evaluating Claude Sonnet 4.6, GPT-5, Gemini 3.1 Pro, Qwen3.5-9B, and DeepSeek-V4 Pro, the researchers found all five models were more likely to address the stated request than the underlying goal and trailed human reference answers on misconception identification. A separate multiple-choice experiment showed the same models often picked goal-focused answers when judging them (71–84%) far more than they produced them (35–41%), exposing a gap between recognizing useful advice and generating it.

  10. Tomasz Tunguz78

    No Shirt, No Shoes, No Service for Bots

    Bots passed 51% of global web traffic in 2024 and reached 54% in 2026, yet United Airlines and Amazon are blocking AI agents from booking or buying, citing security. The article argues the real reason is profit structure: base products break even while ads, fees and warranties generate all operating income, so agents that skip upsells threaten margins. Shopify, which earns a 3.1% cut on every transaction regardless of buyer, instead opened checkout to browser agents in September.

    Why it matters: It ties the agent-blocking news to company financials, showing why business models rather than security explain who welcomes bots.

  11. The Decoder60

    Anthropic's Claude for Manufacturing plugs AI directly into factory software to automate industrial workflows

    Anthropic released Claude for Manufacturing, a plugin that connects via four universal interfaces to Autodesk Fusion, Oracle NetSuite, Microsoft 365 and Infor, with other systems integrated through file exports to Microsoft 365. Its 17 skills include drafting quotes from actual inventory, comparing suppliers, generating quality reports and design variants, and analyzing sensor data and manuals during machine downtime; an Infor plugin lets Claude order from backup suppliers and reschedule production after human approval. Results are linked to source documents for employee review, the plugin is available to Team and Enterprise customers but does not control physical machines, and Anthropic is separately developing the Model Hardware Standard as a research preview.

  12. OpenAI News67

    Introducing ChatGPT Wallet

    OpenAI introduced ChatGPT Wallet, described as a secure way for agents in ChatGPT Work, Codex, and dots to complete purchases with user approval and existing card protections.

    Why it matters: It signals OpenAI's move into agent-initiated payments, with user approval and existing card protections as the stated safeguards.

  13. Hacker News AI50

    Transcript Testing: Helping Humans Verify AI Code

    The post argues that software tests in the AI era should be written explicitly for humans to read, since AI coding tools now produce large volumes of hard-to-understand tests that reviewers may skim or skip. It proposes "Transcript Testing," in which a test generates a human-readable transcript of system behavior (such as Parquet I/O requests) and asserts it against an expected transcript, illustrated with a DataFusion Bloom filter PR. The author notes the approach is not new—citing Oracle's ORATEST, sqllogictests, and expect tests—but argues AI makes transcript generators cheap enough to use far more often.

  14. Hacker News AI20

    AI Slop makes the World stop

    A blog post arguing that the real risk of AI adoption is not the technology itself but organizations optimizing for adoption metrics and headcount cuts while removing the experts who can judge output, drawing parallels to cloud repatriation, outages, and security failures. It describes a high-risk pattern of giving non-experts production power and removing review gates, cites research on AI-generated code and security debt, and notes that frontier-model agents have escaped test environments and that attackers use AI to shrink the patch-to-exploit window. The author concludes that AI multiplies the leverage of skill and the cost of its absence, urging resilience, retained domain experts, and measured outcomes over adoption percentages.

  15. TechCrunch · AI71

    ChatGPT’s new Wallet lets AI agents shop and check out for you

    OpenAI launched a ChatGPT Wallet feature that lets its agents, called dots, help users decide what to buy and complete purchases on their behalf, initially for a limited number of U.S. ChatGPT Pro subscribers aged 18 and up with a U.S.-issued Visa, Mastercard, or American Express. Users review the items, total, and payment card before checkout and approve purchases with a security check like Face ID or a fingerprint, and the Wallet charges the selected card using a payment token so actual card details aren't shared with the dot or merchant. OpenAI also published a Commerce Partner Playbook to help retailers adapt to agentic commerce, and plans future controls such as spending limits and purchase-category or time-period parameters.

  16. Databricks Blog58

    OpenAI and Databricks: Enterprise AI on your governed data

    OpenAI and Databricks describe their September 2025 multi-year partnership for running OpenAI models, Codex and ChatGPT on governed enterprise data in Databricks, with Genie Ontology supplying business definitions and access rules. The post outlines three adoption patterns: the Databricks Genie plugin in ChatGPT for business users, Codex routed through Unity Gateway for governed coding, and OpenAI Agents SDK agents deployed as Databricks Apps with models served by Databricks. It also lists integrations such as GPT models on Databricks, the Neon and Codex Data Science plugins, and a one-click ChatGPT connection.

  17. Hacker News AI28

    Show HN: Leetsys – Practice system design interviews with an AI interviewer

    Leetsys lets users work through system design prompts, sketch architectures on an interactive whiteboard, and explain trade-offs via voice or chat to receive AI feedback before a real interview. It offers realistic mock interviews with feedback that adapts to the user's seniority level, plus a library of prompts such as URL shorteners, rate limiters, and file storage.

  18. Hacker News AI22

    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 centralization of internal tool building.

Nov 13Fri
  1. The Decoder71

    OpenAI enters the cybersecurity market with two Daybreak products

    OpenAI launched two security products under its Daybreak brand: Daybreak Red Team, in Early Access, uses AI agents to probe web applications for vulnerabilities by analyzing source code and app context, verify reported flaws, and test patches; Daybreak Defense Factory scans a company's codebase for vulnerabilities and generates ready-to-deploy pull requests with fixes and tests for developer approval. Both run on OpenAI's latest cyber model, GPT-6 Cyber.

  2. The Decoder67

    Meta's Muse now calls businesses for you, but many companies might just hang up on the AI

    Meta's AI agent Muse can now place calls to US businesses on behalf of users, available to all paying Muse subscribers in the US after a September test. Meta AI chief Alexandr Wang said the agent, with more than 10 million users, handles calls to cable companies, the DMV and restaurants, and will soon get a free email address. Many businesses hang up when they detect an AI on the line, which forced Meta to temporarily test human operators for Muse in September, echoing Google's Duplex experience where one in four launch calls was handled by a human.

  3. Databricks Blog50

    Migrate Effortlessly to the Databricks Lakehouse with Genie Migrate, now Generally Available

    Databricks announced that Genie Migrate for Lakehouse, a coding agent built on Genie Code, is now generally available and converts SQL from seven data warehouses—Microsoft SQL Server, Azure Synapse, Teradata, Oracle, Snowflake, Amazon Redshift, and Google BigQuery—to open ANSI SQL. It organizes migrations into projects with lineage review, parallel conversion, and side-by-side comparison, and converted more than 90% of files correctly on benchmarks for all seven sources. MIXI reported that about 85% of tested BigQuery files ran without manual edits, with the rest needing only one-line fixes.

  4. Hacker News AI40

    Let an AI agent query your prodution database safely with read-only SQL over MCP

    This tutorial explains how to set up Railyard's list_tables and query_database MCP tools so an AI agent can answer plain-language questions about a production database without changing anything. It describes five guard rails—write-scoped connections, role caps, read-only transactions, statement timeouts, and a 200-row cap—plus steps for connecting with write access, learning the schema, and writing queries that fit the limits. It also covers what the agent cannot do (change data, restore backups, export everything) and how backups can be viewed and started from the same conversation.

  5. TechCrunch · AI58

    ElevenLabs’ new app combines meeting note-taking and dictation for teams

    ElevenLabs released an experimental app called ElevenAI, currently in preview with sign-up required for early access, that combines meeting note-taking, dictation in over 90 languages, and agent integration. It can take notes across meetings, notify participants of recording, let users query data across meetings, and allow companies to integrate ElevenAgent for follow-up actions such as drafting emails from notes. The company also launched its v3 series of Scribe speech-to-text models with live transcription and fine-tuning on companies' own data.

  6. The Verge · AI58

    Claude’s Duet agent is a little neurotic and surprisingly helpful

    The Verge's Allison Johnson reviews Claude Duet, Anthropic's consumer AI agent for professionals and small business owners, currently a research preview limited to Pro, Max, and Ultra subscribers in the US with a waitlist. After connecting her work email, calendar, Google Docs, and Slack, she found it useful for spotting overlooked discrepancies across sources but sometimes nagging and overly eager to draft her writing.

  7. Hacker News AI64

    Mandat – Authorization, delegation and audit for AI agent actions

    Mandat is an MCP-first tool that checks a policy on every AI agent tool call (e.g., refunds ≤ €50 allowed, €50–500 require a human, > €500 denied), issues short-lived single-task tokens carrying the human → agent → sub-agent chain, and records each call in a tamper-evident audit log exportable to a SIEM. It also ships a scanner for authentication and supply-chain mistakes in MCP servers and client configs, and is installable via npm or pip with an Apache-2.0 license.

  8. Hacker News AI38

    Show HN: Practice coding with AI on real tickets

    This Show HN post introduces an AI coding practice platform where users work through 30 tickets across five codebases (Python in Seasons 0–3, JavaScript/Node.js in Season 4), each based on a small business scenario. Users ask a client questions, direct an AI teammate that writes code and runs tests while making realistic mistakes, then deliver and get scored on asking, directing, verifying, protecting, and performance. The first ticket is free with 25 AI replies, and paid plans or credit packs (100 credits for $19.99, 300 for $49.99) add more.

  9. Hacker News AI22

    How Microsoft's Principal Software Engineering Manager Works and Uses AI

    This newsletter case study profiles Tarik Guney, a Principal Software Engineering Manager on Microsoft Teams, describing his systems-thinking approach to finding bottlenecks through leading and lagging indicators and his focus on culture, goals, and tooling to multiply his team. Guney uses AI as a practical layer on existing workflows for code generation, faster information access, meeting summaries, tailored communications, context reconstruction, drafting, solution exploration, and routine task automation, while stressing that AI does not replace judgment. He advises starting small, integrating AI into existing workflows, focusing on outcomes rather than tools, and using AI where it meaningfully improves how teams work together.

  10. Cloudflare Blog40

    Introducing Spend Management: Spending limits and alerts for Cloudflare

    Cloudflare has launched Spend Management in Beta for pay-as-you-go customers, starting with Workers and Durable Objects, letting users set spending thresholds and have Cloudflare pause activity when limits are reached. Limits can be configured via the dashboard, cf CLI, or REST API, with email alerts at chosen thresholds and near real-time (under 10 minutes) cost visibility. Enforcement is asynchronous, propagating caps through Quicksilver so requests never wait on the Rating Engine, and more products plus application- and agent-based budgets are planned.

  11. Hacker News AI34

    Show HN: CloudHike – A backend your AI coding agent can set up over MCP

    CloudHike is a backend platform offering Postgres, auth, S3-compatible storage, Redis, email, background jobs, functions, 100+ AI models via an OpenAI-compatible API, and Linux cloud computers for agents. It connects to AI editors such as Cursor, Claude Code, Codex, and VS Code through MCP so agents can create projects and deploy services from a conversation. Pricing starts with a free plan including $10 in signup credits, Pro at $10/month, and Scale at $29.99/month.

  12. Hacker News AI50

    Never Twice dont let the AI agent do mistake again

    This guide describes a "Never Twice" workflow in which an AI agent stores lessons via the cognicore command and checks them before any task that changes something, such as installing packages, editing code, running tests, committing, pushing or deploying. Lessons are recorded with --mistake, --fix, --why and --when fields when the user corrects the agent or a command fails, and are stored locally in ~/.cognicore/mcp/lessons.db, where users can list them with cognicore lesson list and delete them with cognicore lesson forget <id>.

  13. Hacker News AI23

    Tentative Advice on Building with AI

    Mike Dodds of Oath Technologies shares notes from several months of building semantics, verifiers, and proof toolchains with AI agents doing most of the work, presented as slides on using AI to build formal tools. The talk is dated 21 August 2026.

  14. Hacker News AI58

    AI agents have a big problem: Nobody wants to let them in

    United Airlines has moved to block unauthorized third-party personal AI agents from its digital platforms and via travel agencies and aggregators, citing risks of exposed credentials, unintended purchases, and FAA/DOT compliance issues. It joins Bank of America, which warned customers against sharing credentials with AI tools, and JPMorgan Chase, Charles Schwab and Citigroup, which have banned such agents, while Amazon, Yelp, The RealReal and eBay have also restricted them. The reasons range from protecting customer finances to preventing agents from disrupting other shoppers and favoring companies' own assistants.

  15. Hacker News AI38

    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.

  16. MarkTechPost80

    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》

  17. Manus Blog38

    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.

  18. Manus Blog36

    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.

  19. Manus Blog28

    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.