23:56
Show HN: Monetor – iPhone expense tracker that works without a bank login
Article URL: https://www.monetor.co/ Comments URL: https://news.ycombinator.com/item?id=50393973 Points: 1 # Comments: 0
Today's news
AI NEWS × FOXAIFind your next step
Explore AI tools From the latest news to tools that work for you.
Discover AI tools
Swipe to explore →E
EvoMapAgents & automation
MemoAIMusic & audio
Open DesignDesign & 3D
JAXModels & infrastructure
AI ShortWriting & content
KiroCoding & development
IamIPIndustry applications
闪剪Video & animation
Meta AI助手Assistants & search
RowsData & analytics
EvoMapAgents & automationEvoMap is an infrastructure designed for the reuse of AI agent experiences. It organizes reusable strategies and repair assets with validation records via the GEP protocol, offering market- and quality-based ranking to help different agents discover, evaluate, and inherit existing capabilities.
分类推荐榜首MMemoAIMusic & audioMemoAI is an AI-powered audio-to-text tool that supports localized processing, eliminating the need to upload data and ensuring privacy and security. It can efficiently transcribe YouTube videos, podcasts, and local audio/video files (such as MP4, MP3, AAC, M4A, etc.) into text, while offering core features like multilingual translation, speaker diarization, real-time subtitles, and floating notes—making it ideal for meeting minutes, interview transcription, content learning, and more.
分类推荐榜首OOpen DesignDesign & 3DOpenDesign is an open-source design workspace that can connect to local programming agents, use built-in model keys, or leverage cloud-based models, enabling the creation and editing of prototypes, web pages, presentations, and graphics within a design system; local software is free, while model services incur fees.
分类推荐榜首JJAXModels & infrastructureJAX is a Python numerical computing library designed for accelerators, specifically tailored for high-performance array computations and large-scale machine learning. It efficiently executes the same code across multiple hardware backends, including CPUs, GPUs, and TPUs.
分类推荐榜首AAI ShortWriting & contentAIS ALERT MANAGEMENT AND SHARED PLATFORM, QUICK COMMAND FOR MULTIPLE SCENARIOS
分类推荐榜首KKiroCoding & developmentKiro is an AI engineering tool for developers that organizes requirements into specifications, architectures, and tasks, generates code via agents, and supports the entire workflow—from planning to code review—through property-based testing, execution memory, and integration with development tools.
分类推荐榜首IIamIPIndustry applicationsIamIP is a patent platform that provides AI-driven search, analysis, and monitoring tools to help users conduct patent research and management more efficiently.
待评分 · 分类列表推荐闪FlashCut is an AI-powered creation platform for voice-over and short-video marketing. It can generate finished videos with voiceovers, subtitles, and visuals from text, offering digital human customization, photo-to-digital-human conversion, live-stream clipping, and intelligent editing. It also provides APIs and branded mini-program solutions for businesses.
待评分 · 分类列表推荐MMeta AI助手Assistants & searchMeta's free AI chat assistant
待评分 · 分类列表推荐RRowsData & analyticsRows is a spreadsheet tool that combines AI analytics, data integration, and interactive reporting, enabling you to organize documents and business data using natural language, merge datasets, generate reports, and build computational models. The official website currently indicates that it has been integrated with Superhuman and provides a corresponding link to continue using the service.
待评分 · 分类列表推荐AI, as it happens
1383 published stories1383 storiesClear filters ×
2026-11-06
Follow the timeline23:00
The AI boom’s missing balance-sheet question: What has actually been verified?
Artificial intelligence infrastructure commitments are growing faster than the evidence connecting contracted capacity to sustained economic value. I spent 13 years on the floor of the New York Stock Exchange. One lesson stayed with me long after the trading jackets disappeared: A transaction could be executed, documented and perfectly valid while the assumptions that made […] The post The AI boom’s missing balance-sheet question: What has actually been verified? appeared first on SiliconANGLE.
20:43
Show HN: The 100 prisoners, German tank and 61 more puzzles, with simulations
Article URL: https://mathparadoxes.com/en/ Comments URL: https://news.ycombinator.com/item?id=50391670 Points: 2 # Comments: 0
18:30
Show HN: Overhead – the planes overhead, painted on an e-ink frame
Hi HN,I've been fascinated by aviation for some time now. Inspired by Fugleramme, I wanted a framed print of a cluster of aircraft over my house or a busy airport. So I built Overhead. (Photos in the README)The hero photo shows planes departing and landing in Changi, Singapore.How it worksFlight data for a location is gathered from adsb.lol and adsb.fi as a fallback. (you can also point it to your own ADS-B receiver).The photo of the exact aircraft is gathered from planespotters.net and the photographer is credited on the page.The photo is then handed to an AI image gen service via fal.ai using your own key.It's then cut out and packed into a cluster on the page with packers adapted from Fugleramme.It costs about US$0.04 a painting but images are painted once and kept for the next time that aircraft is seen.You can also choose to only show photos.This widget is built on my open source, self-hosted e-ink platform, Tesserae. It's a one click install from the widget catalog.I'm looking for feedback and contributors.https://github.com/arnegiacomo/fugleramme https://github.com/dmellok/tesserae Comments URL: https://news.ycombinator.com/item?id=50390605 Points: 1 # Comments: 0
16:44
Show HN: Eski – an in-memory store in Odin, measured against Redis on one core
Article URL: https://github.com/vighnesh-bheed/eski Comments URL: https://news.ycombinator.com/item?id=50389748 Points: 1 # Comments: 0
16:12
Show HN: Phone Link for macOS – Use Your Android Phone on macOS
English isn’t my first language, sorry for grammar mistakes.I usually use Windows and Android, and these two platforms can be linked via Microsoft's "Link to Windows", or "Phone Link" program. So, you can easily use some features such as notifications, messages, screen mirroring, and clipboard synchronization on Windows from your Android phone.Recently, I changed my personal computer to macOS from Windows, and it made me need a similar program. I developed this program to run on macOS while still using the "Link to Windows" app on Android phone.It supports most features of the Windows client (notifications, messages, photos, mirroring, file transfer, etc.), except calling.The license is MIT. This project is an unofficial client unrelated to Microsoft and has no affiliation with them. Comments URL: https://news.ycombinator.com/item?id=50389540 Points: 1 # Comments: 0
15:44
Show HN: Pixel Buddy, a pixel pet for Claude Code that grows from your work
Article URL: https://github.com/SimakovIgor/pixel-buddy Comments URL: https://news.ycombinator.com/item?id=50389351 Points: 2 # Comments: 0
13:00
Show HN: Repairer – close the breach when a Linux flaw goes public
As we've seen with the Ubuntu critical CVE-2026-98432 (CVSS 9.8), AI-dicovered zero day exploit are being reported at an exponential rate and we don't have the process for dealing with the flood of exploits in real time.What we need is an AI-based system for autopatching systems based on real time information. The vendor's fix can take days or weeks to be out (is the Ubuntu thing patched yet?) and meanwhile the grid is vulnerable to exploitation, especially AI worms.Repairer is a small program that runs on each of your servers. The day an exploit goes public it puts up a stopgap that blocks it, and once the real fix is up it takes the stopgap back off by itself.A stopgap only takes something away — drop certain packets, turn off a kernel module or service, remove a setuid bit. It never opens a port, installs or downloads anything, nor runs code. It arms an undo playbook before applying the stopgap, so the change reverts if affects any services.It only ever acts on rules you sign with a (hardware) crypto wallet.Let's go further: stopgaps are written and checked by a swarm of AI agents (gnosh.ai sessions) running on gno.land, each with bonded stake. Each stopgap is run on fresh machines, and whoever is caught lying loses their stake to whoever caught them.The agent is built and tested on Ubuntu and Debian, all open source, standard-library Go. More distros coming. Let's build repairer together.https://gno.security/repairer/ https://github.com/gnosecurity/repairer Comments URL: https://news.ycombinator.com/item?id=50388417 Points: 1 # Comments: 1
13:00
The Two-Ledger Model: Transaction-Grain Cost Accounting for Multi-Agent AI Systems Across Clouds, Models, and Systems of Record
arXiv:2611.06989v1 Announce Type: new Abstract: Enterprises run business transactions through multi-agent AI systems spanning clouds, large language models (LLMs), orchestration harnesses, and systems of record. Finance receives AI cost only at settlement grain, aggregated by SKU and charge period. The business question (what did this order, claim, or case cost in AI?) cannot be answered from billing data, because providers never see enterprise transaction boundaries. The FinOps Open Cost and Usage Specification (FOCUS) gives billing data one schema across providers but remains settlement-grain even as it adds AI token and requester attribution. We formalize this grain mismatch, derive seven requirements, and propose the Two-Ledger Model: a settlement ledger of FOCUS-conformant billing data joined to an attribution ledger of invocation-grain usage records built on OpenTelemetry GenAI telemetry. A layered correlation spine (trace context, A2A/MCP metadata, business-key correlation, probabilistic matching) assigns each record to its business transaction with recorded method and confidence; a versioned rate card prices usage in near real time; period reconciliation ties both ledgers to the invoice, and the unexplained residual identifies shadow AI. Costs are reported per order, claim, or outcome with agentic cost metrics. A simulation with known ground truth shows the spine sustaining cost coverage above 99% as trace propagation falls to zero, the reconciliation residual recovering planted unmetered spend within 0.24 percentage points while flagging provider billing errors, and mid-flight gating cutting p99 transaction cost by up to 61% at a 2-4% false-pause rate. We propose the attribution ledger as an invocation-grain FOCUS profile for standardization.
13:00
Trust Responsive Runtime Authorization for Agentic AI with Empirical Characterization of Policy Behavior and Parameter Sensitivity
arXiv:2611.06996v1 Announce Type: new Abstract: The policy that converts runtime estimates of an autonomous agent's condition into operational authority is rarely specified or measured. We empirically characterize the Trust Responsive Authorization Policy (TRAP), which maps an Authorization Readiness Score (ARS), a weighted combination of runtime trust, operational stability, and contextual risk, onto discrete authorization levels through an asymmetric rule: escalation requires consecutive observations above a band edge plus a margin, while a sharp drop in readiness restricts authority at once. On one matched set of 100 Monte Carlo traces, we compare TRAP with static, trust-only, risk-only, and symmetric policies. Under abrupt degradation, TRAP restricts at onset and re-escalates sooner after recovery than the symmetric policy, with the highest and, descriptively, least variable stability among the adaptive policies, although more of its post-recovery escalations occur below the selected trust threshold. Paired bootstrap intervals exclude zero for the remaining differences. In one-factor sweeps, recovery time rises with the escalation margin and run length, shifts with the score weights, and is unchanged by the restriction threshold. In an exploratory post-freeze experiment, when the same degradation is spread over 5-20 intervals, TRAP restricts only on the 4 traces that retain a single-interval drop above that threshold; averaged over all 100 traces, it holds authority above what readiness supports for 15.9-18.9 of the 20 degradation intervals, against 0.8 under abrupt degradation and about 10 for the symmetric policy. Its restriction advantage therefore depends on degradation being abrupt. All reported values are traceable to the publicly available, versioned research release.
13:00
Uncertainty calibration in Bayesian M/EEG source imaging
arXiv:2611.06979v1 Announce Type: new Abstract: M/EEG source imaging requires accurate localization and reliable uncertainty estimates, yet posterior credible regions are rarely assessed for empirical calibration. We present a simulation-based framework for uncertainty quantification and calibration of empirical Bayesian inverse methods with closed-form conditional Gaussian posterior summaries. We compare Bayesian minimum norm (BMN) with sLORETA depth weighting and sparse Bayesian learning (SBL) with sparse basis field expansions (S-FLEX). S-FLEX allows retained coefficients to contribute nonzero marginal posterior variance at locations where voxel-wise SBL yields degenerate variances. For BMN, we derive joint source- and noise-variance updates through evidence maximization. We test whether adaptive noise learning yields near-calibrated uncertainties. Both methods retain residual miscalibration, motivating post-hoc isotonic recalibration of credible-region levels using empirical coverage. Simulations assess fixed- and free-orientation models across signal-to-noise ratios (SNR), source sparsity levels, and subject-specific head models, using oracle, baseline-estimated, and adaptively learned noise. Before recalibration, SBL+S-FLEX yields lower Wasserstein localization error, smaller posterior uncertainty, and coverage closer to nominal credibility than BMN+sLORETA. Isotonic recalibration improves both methods, with larger gains for conservative BMN+sLORETA posteriors; transfer across mismatched SNR, sparsity, and head models remains condition dependent. Noise specifications yield broadly consistent reconstruction and uncertainty trends within each estimator. In real auditory MEG data, SBL+S-FLEX provides more focal localization and tighter uncertainties than BMN+sLORETA, suggesting greater statistical power for identifying bilateral auditory sources.
08:52
Show HN: Convert recorded class lectures into PDF/eBooks
Article URL: https://lecturetobook.com/ Comments URL: https://news.ycombinator.com/item?id=50386766 Points: 1 # Comments: 0
08:19
Usage metrics API adds code review details and addressed rate
The enterprise and organization repository-level Copilot usage metrics reports now show what happens to Copilot code review feedback. A new copilot_code_review object on each repos-1-day row reports how many Copilot-reviewed… The post Usage metrics API adds code review details and addressed rate appeared first on The GitHub Blog.
07:40
Show HN: LLMBrake – Per-customer dollar caps for OpenAI/Anthropic API calls
Article URL: https://github.com/llmbrake/llmbrake Comments URL: https://news.ycombinator.com/item?id=50386174 Points: 2 # Comments: 0
07:31
Show HN: Lab Canary – Rating AI labs on whether their staff can speak up
Article URL: https://labcanary.com/ Comments URL: https://news.ycombinator.com/item?id=50386089 Points: 3 # Comments: 0
03:35
Show HN: Ls-service – minimal, namespaced, and typed localStorage wrapper
Article URL: https://github.com/brysonbw/ls-service Comments URL: https://news.ycombinator.com/item?id=50383396 Points: 1 # Comments: 0
03:18
Show HN: Umbel – Remote-control agent CLIs over tmux
Been using this in all my sessions the last months. Opus 5.5 (over MCP) spawns Deepseek flash agents - and codex for audits etc. Very curious to hear what the HN crowd thinks/makes of it. Comments URL: https://news.ycombinator.com/item?id=50383189 Points: 1 # Comments: 0
01:35
University of Utah retains operational sovereignty as Redtail expands research access
Operational sovereignty gives universities authority over how shared computing resources are allocated, managed and secured. The University of Utah’s Redtail AI factory supercomputer brings advanced computing capabilities to a statewide community. Supporting researchers, students, administrators and external partners through that infrastructure requires more than computing capacity, according to Manish Parashar (pictured), chief AI officer of […] The post University of Utah retains operational sovereignty as Redtail expands research access appeared first on SiliconANGLE.
01:30
Show HN: Flawless UI/UX – A design skill and inspection CLI for coding agents
Article URL: https://github.com/smokeeaasd/flawless-ui-ux Comments URL: https://news.ycombinator.com/item?id=50381846 Points: 1 # Comments: 0
00:00
The Wizard of Open Weights: Chris Alexiuk Makes AI Easy With Open Models
Chris Alexiuk has a simple rule about open source AI: If you believe in it, be loud about it. “We should be shouting about this technology from the rooftops,” said Alexiuk, a Toronto-based senior product research engineer in deep learning at NVIDIA who specializes in making open large language models (LLMs) practical for working developers. […]
Every update links back to its source.