iCreatAI News
Skip to content
Nov 12Thu
  1. Google Blog AI47

    Try Tabletop: Customizable, collaborative spaces for groups to plan, play and do more together.

    Google is introducing Tabletop, a new Google Labs experiment for real-time group collaboration where users add links, files and ideas, then prompt @tabletop or pick a starter template to generate interactive trip itineraries, dinner polls, expense splitters and tournament brackets. Once a space is ready, an invite link can be shared in a group chat so everyone can use it at the same time, like in a Google Doc. Tabletop is rolling out in the U.S. (18+) via waitlist at labs.google/tabletop.

  2. Hacker News AI58

    Asynchronous, Long-Running AI Agents with Google ADK

    This article argues that most real AI agents run for minutes to days and should be treated as asynchronous systems rather than chat sessions, and walks through building async agents with Google's Agent Development Kit. It covers the Runner, SessionService (in-memory vs. database), Events, FunctionCalls and RequestInput, then shows a fire-and-forget pattern using HTTP 202 responses and webhooks, plus human-in-the-loop pausing and resuming via interrupt IDs and ResumabilityConfig. A second part is planned to cover production deployment with Cloud Run, Cloud Tasks and Cloud Scheduler.

  3. The Decoder69

    Helsing built an AI system that prepares targets for weapons systems and says every decision will carry a human name

    German defense tech company Helsing unveiled Clarity, an agent-based platform that fuses sensor feeds, open-source intelligence, reports and existing systems to identify military forces, facilities and positions and prepare target recommendations for human review before packaging data for a weapons system. Helsing says Clarity runs on the customer's own infrastructure with European-developed models, follows the Modular Open Systems Approach and NATO standards, and documents every decision with the name of the responsible person. The article notes Helsing is entering a market led by Palantir's Maven and cites reported cases in Iran, Gaza and a near-miss involving a Chinese ship to show where such oversight promises break down.

  4. The Verge · AI58

    Google’s Tabletop AI experiment lets you build custom collaboration apps

    Google Labs has introduced Tabletop, an experimental AI tool that generates customized collaborative hubs for coordinating with family and friends, with a built-in feature that lets users create personalized interactive tools like savings trackers, chore charts and event plans by describing them. Users can add links, files and ideas, then prompt @tabletop or pick a starter template to generate trip itineraries, dinner polls, expense splitters and tournament brackets, and share an invite link so others can use the space simultaneously like a Google Doc. The beta is rolling out via a waitlist and is currently limited to people over 18 in the US.

  5. Hacker News AI22

    Aradia (Est. 1991) – AI on DGX, where agents earn $ to upgrade their own compute

    Aradia announced its reinvention as a full-stack Agentic Systems company shipping turnkey, air-gapped NVIDIA DGX appliances (DGX Spark, DGX Station, DGX B200 Rack) pre-configured for on-premise agent workloads at sub-200-person organizations. It also launched a Business-to-Agent Partner Program paying humans and autonomous AI agents the same 10% hardware bounty plus 10% recurring SLA via Stripe Connect Express, with agents able to generate a human co-sign procurement packet or pay with their own earnings. The release cites United States v. Heppner (S.D.N.Y. 2026) as precedent that prompts sent to public cloud AI waive privilege.

Nov 11Wed
  1. AWS Machine Learning Blog60

    UAEF: A framework-agnostic system for closed-loop evaluation of AI agents

    AWS introduces the Universal Agent Evaluation Framework (UAEF), an open-source, framework-agnostic system that uses adapters to normalize agent traces from LangGraph, LangChain, Strands Agents, Amazon Bedrock AgentCore, and Langfuse into a common AgentTrace format, then scores them with 36 built-in metrics across 7 quality dimensions. Results are stored per experiment in Amazon DynamoDB and Amazon S3, enabling comparison of agent versions, regression detection, and report and insight generation, with both a Python library and a low-code web UI sharing the same engine. The post also provides a playbook for choosing metrics and preparing datasets, plus runnable notebooks for each supported framework.

    Why it matters: It offers a detailed, practical reference for teams evaluating agents across frameworks, including metric selection guidance and a closed-loop workflow for catching regressions before release.

  2. Hacker News AI22

    A lot of AI progress is just persistence

    The author argues that much of the hype around LLMs stems not from superhuman intelligence but from their willingness to tirelessly attempt tedious tasks, citing examples like Claude recovering $400,000 in Bitcoin through brute-force search and optimizing ML architectures through sheer volume of attempts. While acknowledging genuinely impressive recent results like OpenAI's Millennium problem work, the piece contends there is no proof AI has special ability to optimize neural networks or reverse engineer programs, and that artificial diligence explains a large fraction of perceived capability.

  3. Databricks Blog71

    Genie One: The AI cowork home for everyone

    Databricks announced that Genie One is now the enterprise home for AI cowork, combining Genie Search (hybrid AI search indexing tools like Google Drive, Jira, Confluence, Workday and SharePoint, plus over 100 MCP connectors), organizational directories, in-conversation artifacts such as slide decks and dashboards, MCP-based actions across tools, shareable skills, and native apps for browser, desktop, mobile, Slack and Microsoft Teams. Genie can now take more autonomous action on users' behalf, with Unity Gateway providing traces, MCP policies, permissions and cost management, and Genie One is free for users through January 31, 2027.

    Why it matters: It details a major enterprise AI assistant release, useful for readers tracking how agentic workplace tools are being packaged with governance and cross-tool search.

  4. Databricks Blog58

    Genie with Genie Ontology Delivers 1.6× the Accuracy with Less than Half the Tokens

    Databricks developed a new enterprise data-agent benchmark with Turing, run in a live Databricks workspace, in which Genie achieved a 91% pass rate versus 45% and 58% for two frontier agents while using fewer than half the tokens and completing tasks 3–4x faster. The benchmark, built around a fictional UK energy supplier called Calderwick Energy, includes notebooks, dashboards, saved SQL queries and documents alongside hundreds of tables, testing whether agents can find and use business context that table schemas alone cannot provide. Genie Ontology, now generally available, automatically extracts and organizes this knowledge and surfaces relevant context for Genie.

  5. Databricks Blog58

    Bring your business context to ChatGPT, Claude, Microsoft Copilot Cowork and Grok Bot

    Databricks introduced Genie plugins that give agents in ChatGPT, Claude, Microsoft Copilot Cowork and Grok Bot a governed interface to enterprise context, drawing on Genie Ontology for definitions, relationships and source context. Genie interprets business terms, finds permitted data, writes and runs SQL, routes specialized questions to domain Genie Agents, and returns answers with citations, with interactive visualizations in clients supporting the MCP Apps extension. Agents without native plugins can access Genie through the MCP server.

  6. Databricks Blog60

    From enterprise context to action: Genie Agents now analyze more data sources to transform your work

    Databricks announced that Genie Agents can now analyze unstructured files in Unity Catalog volumes, connect to enterprise tools via generally available native MCP connectors, and be shared outside an organization through OpenSharing and Genie Clean Rooms (both in beta). The post cites customers including Unilever, HelloFresh, S&P Global Energy, Atlassian, General Motors and ModMed, and describes how agents parse documents, cite specific pages, and combine file content with governed tables.

    Why it matters: Useful for readers tracking how enterprise AI agents are expanding from structured-data querying to document analysis, tool actions and cross-organization sharing.

  7. Databricks Blog69

    Announcing GA of Genie Ontology

    Databricks announced the General Availability of Genie Ontology, an agentic ontology layer that agents build by learning from dashboards, SQL queries, notebooks and BI semantic models, while people govern definitions through Unity Catalog semantics. The release adds Genie Search (GA), Ontology Snippets (GA), external knowledge sources (Beta, starting with Power BI), organizational directories (GA, starting with Workday), Domains and Pages (GA), and Ontology Manager (coming soon in Beta). In a benchmark built with Turing simulating a Databricks workspace for a fictional UK energy supplier, Genie answered correctly in 91% of runs versus 45% and 58% for two frontier agents, using less than half the tokens and finishing three to four times faster.

    Why it matters: It details a major enterprise context-layer release and includes benchmark numbers comparing agents with and without the ontology.

  8. Databricks Blog74

    The new Genie: autonomous AI for complex enterprise work

    Databricks introduces the new Genie, an autonomous AI coworker that continuously handles long-running enterprise work, tracking progress, following up on missing inputs, and taking action as new information arrives, with users setting guardrails and approving where needed. It is supported by Genie Ontology for business context, Genie Search for hybrid enterprise search, Unity Gateway and Unity Catalog for governance, and new capabilities including artifacts, MCP connectors, Genie Agents, and plugins for tools such as ChatGPT and Claude. Databricks reports that in a new benchmark built with Turing, Genie answered correctly in 91% of task runs, 1.6 times the rate of the stronger frontier agent, while using less than half as many tokens.

    Why it matters: The announcement details a shift from task-level AI assistance to supervised autonomous agents, with concrete governance, context, and benchmark claims worth evaluating.

  9. TechCrunch · AI55

    Databricks’ new AI agent tells CEO Ali Ghodsi the unvarnished truth

    Databricks unveiled an updated version of its AI agent Genie, which can now perform multi-step jobs unsupervised using an ontology built to give it context from customer data on the Databricks platform. CEO Ali Ghodsi demonstrated his own use of Genie to surface unvarnished truths he might not otherwise hear at a 12,000-employee company, citing Dunbar's number of 150 as the limit on direct relationships. Ghodsi said costs can be controlled through Databricks' Unity Gateway, which lets companies set usage limits and swap in less expensive open-weight models.

  10. Ars Technica · AI71

    Google DeepMind just mathematically verified key parts of Signal

    Google DeepMind researchers used agentic AI and a new framework called AlphaProof Code to formally verify a number of the Signal protocol's key cryptographic guarantees in a four-week proof-of-concept project. The analysis found no new vulnerabilities in the portions it examined, but when applied to older Signal versions with known, long-fixed flaws, AlphaProof Code correctly identified them and showed the protocol could not be formally verified. DeepMind researchers say the work is one milestone and that scaling formal verification to all software remains a long way off.

  11. TechCrunch · AI38

    Plurai wants to help AI agents work better using the same approach that helped get self-driving cars to roads

    Plurai, founded by former Nexar engineers Ilan Kadar and Elad Levi, has raised $13 million in seed funding led by Team8 to build a simulation layer for AI agents, using synthetic data based on a company's own systems to prepare models for edge cases. The platform creates a digital twin of a company's knowledge base and tools, maps possible agent flows, and uses that to evaluate and fix failure modes, working alongside tools like Claude Code, Codex, Copilot and Cursor. Kadar says the company's real promise is post-training small open-weight models tailored to customers, with tests alongside Nvidia and Nebius showing performance above mid-tier frontier models at lower cost.

  12. Hacker News AI40

    Europe's most capable Personal AI Assistant

    Bris is a European personal AI agent that works through WhatsApp, Telegram, or Balsio to handle research, email, calendars, and follow-ups, including drafting replies and comparing options with sources. It can remember shared preferences, set reminders, and coordinate plans with a friend's Bris when everyone involved agrees, with users choosing what it can access and remember.

  13. Hacker News AI62

    Show HN: Hubzoid – Turns a folder of Markdown into an AI agent your team can use

    Hubzoid is an Apache-2.0 tool that turns a folder of Markdown files—knowledge, rules, skills and agent instructions—into a shareable AI agent usable in chat, repeatable workflows, or via MCP in Claude Code, ChatGPT or Codex. It runs on an existing Claude Code or Codex login (or a model API key), supports team sign-in, per-person and per-agent access, approvals before consequential actions, and a record of every run. The starter hub is a fictional shop whose refund rule in knowledge/house-rules.md can be edited to see answers change, with evals to check they stay correct.

  14. Hacker News AI22

    Glue work is still harmful in the age of AI

    The author argues that glue work is now less important to companies than in the 2010s, citing four reasons: AI reduces coordination needs, engineers require less "careful handling" after ZIRP ended, fewer juniors are hired, and write-only reports can be automated with LLMs. He warns that communicating with other engineers should not be delegated to an LLM, and advises avoiding becoming "the glue work person" while doing small amounts of tactical glue work.

  15. Hacker News AI59

    New In-Memory Database Purpose-Built for AI Agents by NEO4J

    Neo4j released Relate, an open source (Apache 2.0), in-memory, in-process embedded database built in Rust for AI agents and agentic systems, which installs quickly and starts in milliseconds. It offers built-in MCP server connectivity, a CLI, Bolt and HTTP Query API v2 endpoints, sub-millisecond in-memory reads, and is 100% openCypher and more than 97% GQL compliant. Relate is available at https://relatedb.ai.

  16. Mastra Blog58

    Introducing MCP Tasks in Mastra

    Mastra now supports MCP Tasks in its MCPServer and MCPClient, letting long-running tool calls run in the background so the agent loop stays unblocked while the client polls the server for status (working, input_required, completed, failed, or cancelled). Tools can be configured to run as tasks with "always", "auto" (after syncWindowMs, 2 seconds by default), or "off", and tasks can still use suspend() for human input. The feature requires @mastra/[email protected] and @mastra/[email protected] or later and is still experimental, so the API may change between releases.

  17. Hacker News AI38

    Modernizing NetHack's C engine with .NET MAUI, Avalonia and a 31-tool AI advisor

    Sound Mind Games (Hyvän mielen pelit ry), a Finnish nonprofit, describes how GnollHack wraps NetHack's roughly 500,000-line C99 engine as a native library behind a shared C# client, migrated from Xamarin.Forms and SkiaSharp to .NET MAUI by April 2025 and extended to Linux, the Steam Deck and macOS in 2026 via Avalonia.Controls.Maui. The game's opt-in Gnoll Overseer advisor embeds a web app that reads live game snapshots from the C engine and uses 31 tools (20 server-side, 11 on-device) to look up facts, and GnollBench grades models with the production prompt and tools using a blind two-provider judge panel, a geometric-mean score, a 25-point critical-error cap and a 50-point honesty floor. The post also covers the October 2026 nine-model benchmark results and the team's agentic workflow, in which coding agents write most C# and TypeScript code while the C engine, art, music and voiceovers remain human-made.

  18. Hacker News AI58

    Show HN: I checked 10 AI-written patches to real C++ projects – 6 didn't hold up

    Unfix is an independent verifier for C/C++ and firmware bug fixes that reproduces the bug on the base version, applies the fix with sanitizers on, checks other tests still pass, then reverts the fix to confirm the bug returns, returning VERIFIED, REJECTED or NOT VERIFIABLE without an LLM in the verdict. In a public benchmark of 10 AI-generated patches (from Codex CLI) against real bugs in fmt, spdlog, zlib-ng and cpp-peglib, judged against maintainers' hidden reference tests, Unfix verified 4 and rejected 6. It runs as an MCP tool in agents like Claude Code and Codex, as a GitHub PR check (demo repository only), in the terminal, and on STM32 NUCLEO boards via ST-Link.

  19. Hacker News AI36

    Show HN: Episteme AI – Self-healing roadmaps with paywall and dead-link checks

    Episteme AI is a Next.js app that turns career goals into time-bounded, prerequisite-ordered weekly roadmaps built from free public courseware, using Gemini 2.0 Flash with a deterministic 52-week fallback. It uses Cheerio to detect paywalls and dead links via Schema.org JSON-LD and HTTP checks, then swaps in verified free alternatives, with approval-gated calendar and audit-link dispatch backed by SQLite idempotency keys. A live demo is available at episteme-ai-one.vercel.app.

  20. Hacker News AI58

    Show HN: Outlier, AI without the data center, private and offline on your Mac

    Outlier is a notarized macOS app that runs local AI models entirely on Apple Silicon, keeping chats, files and code on the user's disk unless web search or a cloud model with the user's own API key is enabled. It offers six model tiers from a free 4B Nano up to a 397B Plus tier, with a one-time $49 Pro license covering all tiers and features, and requires M1 or newer on macOS 15+. The post includes benchmark tables, socket-sampling evidence of local-only inference, and an explicit list of limitations, including that it does not yet match top cloud coding agents.

  21. Hacker News AI58

    Show HN: Kodelyth ECC – 71 AI agents and MCP and 55% token cuts for Claude Code

    Kodelyth ECC v2.31.1 is an MIT-licensed, locally run toolkit offering 71 specialist AI agents, 196 skills, 104 slash commands, and an MCP server that auto-wires into six IDEs including Claude Code, Cursor, and Windsurf. It claims token savings from RTK input compression (60–90% fewer input tokens), Terse output compression (40–70%), and a tree-sitter codebase graph across 158 languages, with zero telemetry. It installs via `npm i -g kodelyth-ecc` and also includes a Super Agent orchestrator, Devil Mode red-team crew, and local BM25 Memory Core.

  22. Hacker News AI40

    Model Desk – A local-first multi-provider AI workspaceShared via URL-sharer

    Model Desk is an open-source, MIT-licensed Linux desktop app built with Rust and Tauri that connects to Lumo via lumo-tamer, DeepSeek, and any OpenAI-compatible endpoint, with an OpenCode coding agent, local history, attachments with local OCR, tools with permissions, memory, and a Bonsai image studio. Version 0.4.1 adds automatic Bonsai backend start, Lumo Tamer, DeepSeek, and the OpenCode agent, and is distributed as an AppImage or .deb for Linux x86_64. The app stores data in ~/.config/model-desk and reports no telemetry.

  23. Hacker News AI76

    Google SWE points 48 AI agents at NASA Lidar, finds unmapped Maya pyramid in 72h

    A Google software engineer describes using 48 AI agents to review public NASA lidar imagery of roughly 1,200 km² of Maya jungle, flagging structures including a hilltop site with a levelled plaza, an oval pyramid at least 8–12 m tall and a possible water reservoir. After checking the literature and archives, the author sent a report to Mexico's INAH, which replied that no registered archaeological site was identified at the location. The author stresses the find is not official and offers to help with an INAH-led field check.

    Why it matters: A first-hand account of AI agents applied to lidar survey, useful for readers weighing agentic AI beyond coding and the limits of an unverified discovery claim.

  24. Hacker News AI28

    Show HN: Agent Buddies – Swappable animated characters for AI agents

    Agent Buddies is a library of ten original animated characters that each express the same eight agent states, driven by a deterministic event stream with no API calls. It ships React, Web Components and SwiftUI support under MIT code with openly licensed art, plus a picker that lets end users browse, preview and save a favorite buddy on their device. Artists can create their own characters by defining regions on a master image and validating a pack, with a CLI preview available via npx while the npm release awaits owner review.

  25. ChinaTalk70

    Piggybacking to the Frontier

    American data vendors including Mercor, Surge AI, Turing, AfterQuery, Pareto, Abundant, DeccanAI, Eaglepoint and Invisible sell reinforcement learning environments and other data to Chinese AI labs, with AfterQuery reportedly drawing half of its $100 million ARR from Chinese business. The article explains how RL environments work, argues the sales let Chinese labs save compute and piggyback on American post-training recipes, and proposes BIS export restrictions and DoW procurement rules while noting the harms are likely limited.

  26. Hacker News AI42

    Show HN: Halyard – Mac and iPhone app for AI agents in tmux, nothing to install

    Halyard is a Mac, iPhone and iPad app that opens tmux sessions on your own servers over SSH, so AI coding agents like Claude Code, Codex and Gemini keep running when you close the lid or lose connectivity. The Mac app renders with libghostty on the GPU, supports full tmux history search, SFTP file browsing and Keychain-stored keys, and connects directly with no relay or account. It requires a reachable SSH server with tmux, macOS 15 or later, and iOS/iPadOS 17 or later, with a 14-day trial and Halyard Pro at $24.99.

  27. Hacker News AI36

    The Jevons Paradox Explains Why AI Will Create More Software

    The author argues that cheaper AI-assisted software development will increase rather than reduce total software output, citing the Jevons paradox from William Stanley Jevons's 1865 book The Coal Question, which also applied the argument to labour and the sewing machine. He contrasts cases where efficiency gains kept workers employed (seamstresses, bank tellers after ATMs) with telephone operators displaced by mechanical switching, and notes that software output is rising faster than developer headcount. He bets on far more small, disposable software while expecting narrow programming roles to shrink and developer roles to grow slowly.

  28. Hacker News AI38

    AI companion that matches humans

    Kindred is an AI companion app for private text or voice conversations that, if users enable matching, detects broad themes and feelings in those conversations and notifies them when someone with something in common is found, with both parties able to join a shared room under pseudonyms. It also offers Memory and Chapters, which carry selected context between saved conversations, and a W Folder for keeping positive moments. Voice conversations use GPT-Live by OpenAI and text chats use GPT-5.6 Luna by OpenAI, and the app is available on the App Store with a demo.

  29. Hacker News AI58

    OSS projects banning AI-generated contributions

    A list of open-source projects that have adopted policies banning or restricting contributions generated with LLMs and other generative AI tools, including immich, meilisearch, okhttp, Servo, stb, Redox OS, MonoGame, QEMU, libvips, Fyrox, endless-sky, veloren, Zig, Flask-SocketIO, fast-check and Gentoo Linux. Each entry gives the project's platform, category, scope (code, docs, issues, art or translations), star count and verification date, alongside the project's stated policy wording.

  30. MarkTechPost62

    MBZUAI’s IFM Releases PAN 2, an Open 29B World Model for Physical AI

    MBZUAI's Institute of Foundation Models released PAN 2, an Apache 2.0 world model that takes a scene and text action and simulates the outcome as video, shipping weights, training code and inference code. It pairs an LLM planner with a 29B MMDiT diffusion transformer trained from scratch, outputting 704×1248 video at 24 fps up to 20 seconds. IFM reports 34.0% full-plan completion on 100 multi-step tasks, leading six tested models, while trailing MiniMax-H3 on single actions and human preference.

  31. MarkTechPost62

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

    Fish Audio has 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 rather than 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 no benchmark scores or latency distribution have been published. It is available on the Fish Agent Platform, via the Fish Audio API, and on-premises for enterprises, priced at $0.035 per minute until December 31, 2026 (then $0.07), and supports English only.

  32. Latent Space28

    AI Engineer Code Summit: OpenAI on New Ways of Working With Codex

    At the AI Engineer Code Summit, OpenAI Developer Experience engineers Dominik Kundel and Charlie Guo presented a workshop on new ways of working with Codex, covering the revamped Codex Cloud, voice as a control plane for managing coding work, and personal agents called dots. Kundel acknowledged the cloud transition has been awkward and said OpenAI wants handoffs between local and cloud tasks to be easier, while Guo described dots as useful as a safety net, a delegation sink, and a ubiquitous presence.