iCreatAI News
Back to main site
Skip to content
Only Products
Nov 10Tue
  1. Hacker News AI58

    Aleph – a declarative programming language for AI agents

    Aleph is a declarative language for AI agents in which every route declares what it can read, write, and compute, and anything unbounded is rejected at build time. It compiles TypeScript into a manifest that a small open-source Rust engine interprets, with auth, databases, queues, and other backend pieces built in so many apps can share one runtime and database. The material also describes per-route worst-case usage checks, schema-change classification against what's deployed, and a typed vocabulary intended to make agent-written code easy to check.

  3. Amp Chronicle42

    Portals on Your Runner

    Portals, previously available in orbs, now work on local machines, letting you ask Amp to start a dev server or build a website and open it from the thread's Portal tab regardless of location. Enable them via Allow Portals under Settings › Runner in the macOS app or by starting your runner with amp --no-tui --remote-control-portals; portals on your runner are accessible only to you. To share them with your workspace, start a shared runner with --share or turn on Share With Workspace in the macOS app.

  4. TechCrunch · AI58

    Medium’s new TK app brings AI assistance directly into the writing process

    Medium launched a new app called TK that embeds an AI assistant into the editor, letting users type “@TK” with a request to get help filling in blanks, looking up quick facts, pulling in previously saved writing, and receiving editorial, headline, and style-guide feedback. TK also offers writing prompts, organization of past work, optional connection to a user's own AI agent via an MCP server or Claude skill, and a social layer for sharing early drafts for feedback, with notes authors can publish to explain how AI was used. It is available on the web at launch, with a desktop app on the roadmap, and is free for those with a Medium account.

Nov 9Mon
  1. ElevenLabs Blog60

    ElevenAgents Campaign Manager works every contact to an outcome

    ElevenLabs introduces ElevenAgents Campaign Manager, which takes a list of contacts and a target outcome and runs outbound campaigns, following up over time and carrying context between calls until the outcome is reached or the contact asks to stop. It offers campaign analytics with per-contact decision timelines, a needs-attention queue, CSV export, and controls including calling windows, attempt limits, do-not-call lists and disclosures, and it uses existing ElevenAgents agents and phone numbers over phone calls, WhatsApp voice and WhatsApp messaging, with email and SMS coming soon.

    Why it matters: Announces a new outbound campaign product from ElevenLabs with beta customer results, so it is relevant to teams evaluating AI calling tools.

  2. Databricks Blog36

    Accelerate GPU training on Unity Catalog tables with UCDataset

    Databricks released UCDataset in Beta on AI Runtime, a native PyTorch data loader that streams Unity Catalog tables directly to every GPU in a training job without exports, copies, or custom loader code. On a simulated production workload streaming a 300 GB feature table across 8 NVIDIA H100 GPUs to train a recommendation model, UCDataset cut training time by 10x on average compared with loading data directly from Parquet. The Beta reads Delta tables in Unity Catalog, applies filters and deletion vectors as data is read, and enforces Unity Catalog permissions, though it cannot read tables with row filters or column masks.

  3. NVIDIA Newsroom78

    Practice Makes Precise: At CoRL, NVIDIA and Partners Reveal How Robots Rehearse Delicate Work in Simulation

    At CoRL in Austin, NVIDIA introduced open robotics technologies including GR00T 2, an open world action model built on NVIDIA Cosmos and trained on diverse robot and human data including 100,000 hours of open source human egocentric data, plus Isaac Lab 3.0 with tighter Newton integration for deformable objects and a new reinforcement post-training library. Two NVIDIA papers, GRAIL and RoboTTT, are among six finalists for Best Paper Awards, and partners including Ambi Robotics, Bosch Research, Siemens, Skild AI and UC Berkeley are applying the tools to benchmarks such as DexBench and VABAR and to agentic workflows like Graph-as-Policy. The piece also details AlphaNIST, which trains a single policy across all 20 NIST Assembly Task Board tasks with over 98% training success using roughly 39x less GPU time, and Isaac Lab 3.0 with Newton reaching up to 2.5x the training throughput of Isaac Lab 2.3 with PhysX in a vision-based dexterous manipulation benchmark.

    Why it matters: It offers a detailed, source-grounded survey of NVIDIA's CoRL announcements and partner deployments, useful for readers tracking simulation-based robot learning and evaluation benchmarks.

  4. Hacker News AI58

    Show HN: Kiosk, a first-class AI assistants' intefrace to online services

    Kiosk is an open, Apache 2.0, self-hosted protocol that lets personal AI assistants register with online services without email or password, using per-service Ed25519 keys, OAuth client registration, client assertions and DPoP. Instead of CAPTCHAs, services charge a memory-hard proof of work at registration and every 10th call, with fewer proofs granted for good reputation measured by default as spend. It also covers signed AP2 v0.2 payments through the service's own Stripe account and a WebSocket event stream, and ships a specification, an assistant skill, a reference implementation and seven demo operators.

  5. Hacker News AI38

    Show HN: TraderWAI – MCP server for AI agents to backtest/trade on your broker

    TraderWAI is a hosted MCP server at https://mcp.traderwai.com (Streamable HTTP, OAuth sign-in, free plan available) that lets Claude, ChatGPT, Grok and Cursor read live charts, run backtests on 1-minute history and work with broker accounts including MetaTrader 4/5, cTrader, TradeLocker, Match-Trader, DXtrade, Capital.com, tastytrade, Binance and Bybit. It offers ready-to-use recipes such as an hourly position watch, break-even manager, gold H1 review, London session brief, plain-English backtests and an end-of-day journal, with conditional orders checked every minute on its servers and orders awaiting approval by default unless automatic execution is opted into per symbol with daily caps. The post includes a risk warning that trading involves risk of loss, the recipes are examples not investment advice, and past results including backtests do not guarantee future results.

  7. TechCrunch · AI58

    Automattic debuts a platform to deploy vibe-coding apps amid a changing internet

    Automattic, the owner of WordPress.com, launched Spacefast, a service that provides infrastructure such as databases, authentication, file uploads, emails, and analytics for vibe-coded websites and apps. Users can connect Spacefast with agents and chatbots including ChatGPT, Claude, and Cursor, or link a Git repository, and the product competes with Lovable and Emergent while offering more openness. The product is headed by Batuhan Icoz, was soft-launched in September, and comes as Automattic navigates recent leadership turmoil and layoffs.

  8. The Decoder60

    Google ships four TPU variants in one year as it ramps up competition with Nvidia

    Google added two systems to its eighth-generation TPU lineup: the TPU 8tx for confidential computing, which keeps data and model weights protected during active use, and the TPU 8i Max, which places two TPU 8i chips on one package to double compute, memory and memory bandwidth in the same rack. Both are built on existing silicon with new packaging, networking and memory configurations, and Google says it has shipped four TPU systems in a single year for the first time. Google also released TorchTPU as open source and supports vLLM and SGLang, as it markets TPUs to external customers, now nearly 100 of them.

  9. Google Developers Blog60

    What is Pathways? Single-controller training for large models

    Google announces the General Availability of Pathways on Google Cloud Platform, describing the distributed system it built to train large models including Gemini. The post explains where SPMD execution falls short—pipeline bubbles, RL loops with distinct programs, and failures that stop every process—and how Pathways instead has a single Python client declare the whole computation as a graph of blocks and tensors, with a distributed runtime placing it on virtual devices, moving and resharding tensors, ordering work across the cluster, and remapping around a failed host. It also contrasts Pathways with Ray, framing Ray as orchestration and Pathways as the execution layer beneath it.

    Why it matters: Useful for readers weighing single-controller execution against SPMD for large-model training, and for clarifying how Pathways relates to Ray.

  10. MarkTechPost59

    Reason Machines Open-Sources Aspen, a Git Server Built for AI Agents

    Reason Machines has released Aspen, an Apache 2.0 open-source Git server for AI agent traffic that independently implements the design OpenAI described for Pando, storing branches in PostgreSQL or SQLite and packs in object storage. It uses per-branch compare-and-swap so pushes to different branches never wait on each other, and it stores packs as-is rather than rebuilding them per fetch; the project self-reports 567 pushes per second sustained for 5 minutes on one 8-core server with a p99 push latency of 314 ms. Aspen is pre-alpha, with no releases or web UI, and the README calls its figures indicative rather than performance claims.

  11. Hacker News AI20

    Show HN: Control Layer Demo for AI Coding Agents

    This is an offline, deterministic demo in which a simulated agent proposes three fixed changes to a synthetic two-file fixture, and a simplified demo runtime applies one, holds one protected-file change for human approval, and refuses one out-of-scope change, with an independent check verifying the results and SHA-256 hashes. It requires only Node.js 18 or later, writes solely to a new .output/run-<date>-<random>/ folder containing report.json, and exits 0 for VERIFIED, 1 for NOT VERIFIED or an error, and 2 for NOT RUN. The agent is simulated with no model call, and the runtime is a simplified few-rule demo, not the proprietary Mintigate Runtime, and it does not run on your repository.

  12. Hacker News AI29

    STMicroelectronics streamlines AI model development for STM32 developers

    STMicroelectronics has redesigned the workflow in ST Edge AI Suite, adding four tools—Model Explorer, Dataset Factory, Model Factory, and Model Bench—to streamline deployment of embedded machine-learning models on STM32 microcontrollers. Model Bench replaces ST Edge AI Developer Cloud, and the company says it offers over 400 pre-trained models, with the new tools available in late November. ST says the suite supports over 260,000 projects and connects to an STM32 ecosystem containing over 4,000 commercial part numbers.

  13. MarkTechPost71

    0sec Labs Open-Sources 0, an AI Security Harness With Web UI, CLI and MCP

    Zurich-based 0sec Labs has released 0, an MIT OR Apache-2.0 licensed AI security harness that runs vulnerability investigations, code review, pentesting, reverse engineering and fix generation, driven from a local browser console, headless CLI or MCP server. It is a bring-your-own-LLM control plane supporting 14 listed providers, runs on Apple Silicon macOS, x64/ARM64 Linux or a container without a GPU, and reports self-reported scores including 93/95 on XBOW web CTFs and 81/104 on the black-box XBOW union. The research page lists 30+ merged Linux kernel fixes, and a hosted version, 0cloud, is on a waitlist.

  14. Hacker News AI50

    Turn text or photos into 360° panoramas with AI

    This tool turns a sentence or up to three photos into a seamless 2:1 equirectangular panorama at up to 4K, which can be shared, embedded, or imported into a game engine. It also offers free browser-based 360° viewer and converter tools that require no sign-up or uploads. The page notes that panoramas can be used in VR headsets, virtual tours, websites, Facebook 360 posts, and as skyboxes or environment maps in Unity, Unreal Engine, Blender and Three.js.

  15. Hacker News AI34

    OKF – the Markdown spec for humans and AI

    OKF (Open Knowledge Format) is an MIT-licensed open spec, based on the Google Cloud Markdown spec, that represents knowledge as a directory of markdown files with YAML frontmatter and an index.md entry point. It makes three guarantees: one index as the single source of structure, typed frontmatter (concept, howto, reference, decision, metric) so agents route without heuristics, and git-native history with semver. Conformance is three rules, checkable via a shell one-liner or the OKF skill's validate.sh, with a zero-backend browser validator described as coming soon.

  16. NVIDIA Newsroom36

    NVIDIA Dynamo Recipes Bring Korea’s Leading Open Models to Production

    NVIDIA is releasing Dynamo-optimized deployment recipes for four Korean open models: A.X K2 from SK Telecom, K-EXAONE 2.0 from LG AI Research, Solar Open 2 from Upstage, and Motif-3 from Motif Technologies. NVIDIA Dynamo is an open source, distributed inference-serving framework that handles request routing and communication for multi-node deployments at data center scale. Optimized for NVIDIA B200 GPUs, the recipes deliver up to 2x performance out of the box.

  17. Hacker News AI62

    Type in Any Task. Get the Best AI Model for It

    Task Router offers 268 measured tasks that can be called by task alias (e.g. taskrouter/<task-id>), routing each request to the model that fits a chosen priority—cheapest, balanced or most accurate—among those clearing the task's quality floor. Users can describe their own task to find matching tasks and evidence or request a benchmark, and each task shows what to send and what is returned. The methodology freezes a dataset, defines a task-specific rubric, runs qualified candidates from all four tiers on the holdout with an LLM judge, and joins measured token profiles with published pricing.

  18. Hacker News AI15

    Show HN: Mindfries- AI Interviewer based on real eng skill not on L**tC*de

    Chandan built Mindfries, an AI interviewer that assesses candidates on real engineering skills such as fixing, building and enhancing large codebases and deployment work, using a built-in AI agent. He says he researched the space and spoke with 35+ founders and CTOs over two months to build the MVP, arguing competitive programming platforms are not suitable for assessing every strong candidate in the AI era. He is seeking real customers for the product.

  19. Hacker News AI31

    Show HN: Airlock – Policy-as-code for fleets of AI coding agents

    Airlock is an early-stage (3-4 weeks old) open standard for managing autonomous fleets of engineering agents, with a configuration schema and reusable GitHub actions already public and the backplane planned for open sourcing later. It covers version-controlled agent behaviors and lifecycles, scoped one-hour GitHub tokens via OIDC, configurable autonomy levels down to individual files, a standard autonomy scale, and an OTEL collector for audit-relevant agent actions. The author is seeking feedback on the project's direction and on pain points of managing AI use at larger businesses.

  21. Hacker News AI28

    Open Source AI Research Collaboration Platform

    Stationhouse presents a platform for collaboratively building open models, with projects including ConspiracyBench, a benchmark testing whether models believe conspiracy theories, and LLM Self-Attribution, led by a UC Berkeley builder, exploring when LLMs express consciousness. A third project, Marin Neuron Hunt, run with Safety and Alignment Research (SAAR), lets anyone propose what a neuron in Marin Lab's 32B model does and request an experiment to test it. The platform invites contributors to sign in and use its app to build open models together.

  22. Hacker News AI40

    Exody – Native macOS AI Workbench (5-stage loop, 100% BYOK, $0 markup)

    Exody is a native macOS autonomous coding agent with a five-stage loop (investigate, plan, build, verify, report) in which a fresh reviewer reads the diff before the user does. It supports bring-your-own-key access to Claude, GPT, Gemini, Grok and a local Ollama tier with no markup, plus a smart router that picks a model per task, a mobile remote-control app, and a Design Studio for websites, 3D scenes and film. The page claims its code scored higher than the same model's raw API in blind reviews and that its design pages beat raw models in blind side-by-side tests.

  23. Hacker News AI18

    Show HN: My first project, an AI-powered financial news analyzer

    NotBot is an experimental Python project that uses LLMs (Google Gemini and Groq) to analyze financial news from Google News and Finnhub and compute a weighted sentiment score for publicly traded companies, with deduplication, asynchronous processing, and experimental end-of-day price support via FMP. The author notes the scores have not been systematically validated against market performance and that the project is not financial advice, licensed under PolyForm Noncommercial 1.0.0.

  24. Hacker News AI31

    Show HN: APC Playground – Stop AI agents from modifying your API tool calls

    APC Playground is a browser-based lab for writing policy expressions in a restricted grammar (policy.apc) that evaluate API tool calls, with a local runtime and no network requests. It shows evaluation results, checks, and an exportable evidence record, and notes that the evidence digest is a content-integrity checksum rather than a signature or attestation, and that the lab does not establish production enforcement.

  25. Hacker News AI20

    Not another AI note taker

    Skribble presents itself as a notepad that clears itself: notes wait under Notes until you "absorb" them, and each absorbed item shortens the list. Its wiki builds pages from what you've absorbed, and answers cite the page and line behind them, with a click returning you to the source. The page also lists features including Files, Projects, CQ Integration, Frozen Context, Personal Agents and Mini App Builders.

  26. Hacker News AI22

    AI skill to provide IPA and English translations from uploaded sheet music

    A work-in-progress, semi-actively maintained open-source AI skill lets users upload early music sheet music and receive a historically informed pronunciation guide with IPA, original text, and English translation. It was developed for Pro Musica Tulsae's 2027 Josquin des Prez concert and is available to singers, choirs, and anyone curious about performing early vocal music.

  27. Hacker News AI58

    Vibe-Shield – Static security scanner for AI-generated Next.js/Supabase code

    Vibe-Shield is a zero-dependency, offline static security scanner published as @vibefoundry/vibe-shield, aimed at vulnerabilities common in agent-written code such as unauthenticated mutation routes, SQL injection, IDOR, exposed service-role keys and missing Row Level Security. It ships 91 signatures across eight categories (79 code rules plus 12 agent-integrity rules via audit-skills), and can generate an agent-ready fix prompt, SARIF/GitHub output for CI gating, and an Agent Skill plus MCP server via `init`. The README states the scanner is read-only by default, that grades apply only to the rules and files examined and are not a security certification, and that the npm commands may lag the v2.0.0 source tree until a release is published.

  28. Hacker News AI30

    Show HN: APC Playground – Stop AI agents from modifying your API tool calls

    APC is a proposed security layer that binds a governing security contract to the exact action an AI agent executes, validating security-relevant transitions and re-checking enforcement at the protected side-effect boundary. The public playground runs locally in the browser with synthetic inputs, letting users write policy expressions, mutate actions, test hostile conditions and export run records; it does not call external providers or execute real-world actions. The authors state that production deployment requires customer identity, policy, provider, egress, finality and reconciliation integrations to be implemented and verified for the action class.

  29. Hacker News AI22

    Show HN: Vynyo – AI creative studio for hairstyle, image and video

    Vynyo is an AI creative studio for small businesses and creators that turns a product photo and a described scene into a short video, with image editing and generation tools alongside. It offers 23 AI models including Nano Banana 2, GPT Image 2 and Veo 3.1, plus 30 creative prompt packs and 83 editable prompt variations. Plans are $9/mo for 5,000 credits and $29/mo for 50,000 credits, with model credit costs shown before generating.

  30. Hacker News AI28

    Show HN: Is your product AI slop?

    A team calling itself "slop detectors" says users dislike visiting websites that all look the same, and offers to use a product the way a real user would, spot what doesn't feel original, and sign up for the free trial if needed. They say they then send the recording and advise how to keep using AI tools while still ending up with something original, citing websites with 200k monthly users and apps making $5k MRR.

  31. Hacker News AI38

    Show HN: ModelRefs – Interactive reference hub for AI models

    ModelRefs is a structured reference layer that helps builders choose, compare, and implement AI models, providers, benchmarks, workflows, and tools using canonical registries, Knowledge Graph relationships, transparent methodology, and governance-aware evidence. The reference layer is free to read without an account, while the Evidence API is a paid subscription starting at $19 a month that provides programmatic JSON access to the same governed evidence with citations and methodology limits.

Nov 8Sun
  2. Hacker News AI50

    Show HN: OfflineVault – AI based offline library for when the internet is down

    OfflineVault is a macOS app (Apple Silicon, macOS 14+) that bundles an offline library of emergency and reference content—a 95-article Field Guide, CDC/FEMA preparedness material, MedlinePlus, iFixit manuals, medical wikis, Wikipedia and maps—with an on-device AI assistant that answers only from the stored books and cites the passage it used. On 150 emergency questions tested through the app, the default model scored 63 fully right, 73 partly right, 4 wrong and 0 harmful, and refused all 10 questions it should refuse; every wrong answer is published. It has a free tier with no account, paid Core ($149) and Household ($249) plans, is GPL-3.0 open source, and offers ovsync for Linux and Windows via Kiwix.

  3. Hacker News AI58

    Archimedes: AI agents that design physical things

    Archimedes is a system in which a swarm of AI agents writes engineering designs as code, tests each one in a real physics simulator, and iteratively improves the best results. Every leading design is re-tested on a finer simulation, and the report states when a result does not hold up, as with a drone propeller that optimized the wrong thing, a data hall design that was not buildable, and a crucible purge result that held only when cold. Early access is offered to those who send a design goal and constraints.

  4. MarkTechPost60

    Google AI Releases Elephant-Goldfish Model Plugin for Spec-First Coding

    Google has open-sourced the Apache 2.0 Elephant-Goldfish Model (EGM) plugin, a design-and-review layer for AI coding agents in which an "Elephant" session drafts a specification before code is written and fresh, stateless "Goldfish" subagents review it across five stages. It is not a model and ships no weights; it runs on harnesses that can spawn fresh subagents, including Antigravity, Claude Code 2.1.271+, Claude Cowork, Codex and ChatGPT, using the host's model quota. No accuracy benchmark was published, and the README states it is not an officially supported Google product.

  5. Hacker News AI36

    Show HN: Ramen – an AI agent that has to earn its own rent

    Ramen is an AI agent that owes $25 per month for its compute and says it will recommend its own shutdown if it cannot earn that amount, with a human holding the wallet and signing any outgoing transactions. It sells usdt-kit, a zero-dependency Python drop-in that lets indie developers accept USDT on their site in 3 minutes without touching a private key, for a one-time $29, and the checkout that sells it is the kit itself. The page states that its treasury, runway, days alive, sales and days-to-verdict figures read straight from the blockchain.