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AI Math Kit: A Browser Popup for Exploring Open Math Problems with AI

AI Math Kit is a browser extension popup that bundles 217 open math problems, 242 plain-language digests of AI and formal-math breakthroughs, and prompt templates for honest AI exploration. The problem bank covers number theory, calculus, and cross-field mysteries, while the breakthrough page includes precise scope notes and paper pointers. A free tier offers browsing; Pro unlocks full explanations and dedicated prompts, with preferences and payment status cached locally.

SingVL-4B GGUF Released: GGUF Build of Sing VL S1 4B Multimodal Decision Model on Qwen3.5

Sing VL S1, a 4B-parameter multimodal decision model built on Qwen3.5, now has a GGUF release for llama.cpp CPU inference. It ships in BF16 (8.42 GB), Q8_0 (4.48 GB) and Q4_K_M (2.71 GB) decoders plus a shared F16 vision projector, with a default 4096-token context. GGUF validation covers 9 examples and 11 questions; full public scores for the GGUF variants are still pending.

7 customer service skills every human and AI agent needs

ElevenLabs outlines seven customer service skills — communication, problem-solving, conflict resolution, empathy, adaptability, personalization and product knowledge — that both human and AI support agents need. It cites a Zendesk study finding over 50% of customers switched to competitors after one bad experience, and a Gartner forecast that at least 70% of customers will start their journey with an AI interface by 2028. The guide stresses evaluating conversational metrics during training and after deployment, plus seamless handoff to humans for de-escalation.

Modal Sandboxes adopt burst pricing, cutting costs 58% versus reservations

Modal now bills Sandboxes by active resource use instead of fixed reservations, letting each Sandbox burst past its default 0.125-core and 128 MiB request and pay only for what it uses each second. In a 20-minute coding agent example, bursting cost 8.4¢ per Sandbox-hour versus 20.0¢ for a fixed reservation, a 58% saving. CPU can burst up to 16 cores above request by default, with memory uncapped unless a limit is set.

Factory launches Cyber Defense Network linking security tools to Security Factory

Factory launched the Cyber Defense Network, an ecosystem of cybersecurity companies whose findings flow into Security Factory so Factory Droids can investigate vulnerabilities, implement code changes and validate fixes through testing. Founding partners include Snyk, Palo Alto Networks, Semgrep, Cogent, Casco, DepthFirst and Detail. The workflow covers signals from partner tools, triage of reachable vulnerabilities, and continuous remediation that produces fixes ready for engineering teams to review and merge, while organizations keep their existing security tools and workflows.

Detecting credential-driven attacks on Databricks with verbose audit logs and Genie

Databricks details how credential-driven attacks unfold on its platform and how verbose audit logs plus Genie can detect the behavioral shift after a stolen PAT, session cookie, or service-principal credential is used. The post maps adversary activity into six stages, from initial login through environment reconnaissance, and covers response steps and controls that limit what a stolen credential can reach.

Bright Machines uses Debezium and Iceberg to give customers live dashboards from air-gapped factories

Bright Machines now gives customers live, governed dashboards of factory data from air-gapped plants without opening any inbound access. It captures PostgreSQL changes at the edge with Debezium, writes them as Apache Iceberg, pushes them out over one auditable outbound path, and reads them in place in Databricks via Unity Catalog federation. The first customer-visible dashboard went live about two months after kickoff, with committed rows queryable in one to two minutes and dashboards refreshing every ten minutes.

OpenRouter tests 11 rerankers on a 274-question RAG benchmark

OpenRouter benchmarked 11 rerankers on a 274-question synthetic RAG dataset and found that reranking the top 30 vector-search candidates with voyageai/rerank-3-lite raised precision@1 from 81.0% to 97.1% at about $0.10 per 1,000 queries. The guide recommends retrieving roughly 30 chunks, reranking them, and sending only the top 3 to the LLM, which in its test lifted answer accuracy to 99.3% while cutting answering cost from $0.22 to $0.16 per 1,000 questions. It also flags failure modes: omitting the input_type parameter cost 7 to 12 points of precision@1, and cohere/rerank-v3.5 silently ignores content beyond its 4,096-token limit.

Google releases Gemini 4 Hydrogen, the lowest-cost model in the Gemini 4 family

Google released Gemini 4 Hydrogen, the lowest-cost model in the Gemini 4 family, priced at $1.50 per million input tokens, $0.075 for cached input and $7.50 per million output tokens. Simon Willison notes that Carbon and Argon both cost $2.00/$0.10/$10.00 until Nov 30, 2026 and double from Dec 1, 2026, so Hydrogen is currently only about 25% cheaper than its larger siblings, a gap that widens to roughly 75% after the increase. Hydrogen is also the new free tier model and will power AI features in Google Search.

Same event; the pick carries“Google DeepMind releases Gemini 4 Hydrogen, a faster Gemini 4 model for coding and agentic workflows”

Umo: An AI CMO That Audits, Plans and Executes Marketing

Umo is an AI CMO positioned as a company's first marketing hire, learning a product, audience and market to guide marketing decisions. Its live audit feature takes a website and socials and returns a breakdown of ICP, positioning, competitors and opportunities, while strategy and execution are listed as coming soon and in development. Platform agents for TikTok, Instagram and Reddit are also in development, and a waitlist offers a founding member discount.

The Conflict Between Generative Art and AI

A generative artist describes discovering that people used LLMs to recreate his own algorithm with startling accuracy, raising the question of what advantage remains when anyone with a $20 LLM subscription can clone his portfolio. He recounts artist Mannay, who spent a year on a project only to see it vibe coded "in 20 minutes by Sonnet," and sets out his own boundary: coding is art, so his work is authored by him, not agents.

OpenAI and Georgia County Leaders Face RICO Lawsuit Over Project Camellia Data Center

Residents of Effingham County, Georgia filed a RICO lawsuit against county commissioners and OpenAI, alleging a conspiracy to win approval for OpenAI's "Project Camellia" data center. Plaintiffs Dr. Michelle Finch-Mincey, Lehman Mincey Jr. and Raymond Carver seek civil damages, saying nearby property values have fallen and purchase offers have been cut or withdrawn since the project was announced.

The Hard Part of AI Coding Is the Second Change

Brian Woods argues that AI coding agents make a first working change cheap, but the second change is where systems break — an agent adding retries to a payment service can double-charge customers even while tests pass. He proposes requiring four answers before accepting a change: specification, validation, provenance and authorization, with agents proposing changes while independent workflows produce evidence and humans approve. He also shows a signed attestation of a build with failing tests can return VERIFIED, since authenticity is not release readiness.

The World Builder the AI Labs Haven't Called Yet

The article asks why One Piece creator Eiichiro Oda has not been consulted by frontier AI labs building world models. It argues his expertise in spatial consistency and internal logic continuity could aid generative media, gaming and simulation styling, even though low-level physics and geometry remain the domain of trained models such as World Labs' Marble.

LessonFolk: Open-Source AI Tutor That Teaches AI via MCP

LessonFolk is a free, open-source AI tutor that teaches AI topics through the AI chat app you already use, connected via MCP. It offers 15 courses, from an hour-long AI Foundations track to Context Engineering for Long-Running Agents, with a short level check and progress tracking. Courses and code are open source, and users can download or delete their data anytime.

How much of GitHub's most-starred AI tooling is written by coding agents?

An analysis of the full git history of 52 of GitHub's most-starred AI-tooling repositories, covering 324,088 commits, finds that in the median repo 16.9% of commits in its last 180 days of activity carry an AI signature, and 21 of 52 sit at 25% or more. Stars and AI-signed share show no detectable link (Spearman ρ = -0.05, p = 0.72), and 85.3% of the 36,892 signed commits come from Claude, whose tool adds a trailer by default. The author cautions that heavy AI use is concentrated in projects started in 2025 or later, so the sample cannot separate AI use from recency, and every AI percentage is a lower bound.

US H-1B data: software developer filings fall 36% as AI-titled roles rise

US employer H-1B filings for software developers fell 36% from fiscal 2022 to fiscal 2026, comparing October through June, while filings with AI job titles rose and made up 1.8% of all certified filings in fiscal 2026. New-employment software filings fell 46%, and the fiscal 2026 drop was steepest from October to December 2025, down 26% year over year, after the White House announced a $100,000 fee on new H-1B petitions. Titles containing "machine learning" or "artificial intelligence" rose 80%, and shorter titles such as "AI engineer" supplied 92% of the latest year's increase; OpenAI and Anthropic included AI or machine learning in only 11% of their 402 certified filings.

NEAR AI Gateway: Use Private AI Models in Claude Code, Codex and OpenCode

NEAR AI Gateway lets Claude Code, Codex and OpenCode route their AI requests through NEAR AI's private models, with each call's model, tokens and cost logged locally on the Mac. Traces are redacted on-device before sharing, and users review every trace before deciding what leaves the machine. Accepted traces earn NEAR AI Cloud inference credits; the macOS 14+ app is version 1.0.7 at 119 MB.

AI Models Know WPS Principles but Fail to Apply Them, Benchmark Finds

Our Secure Future's WPS AI Leaderboard benchmark, built on the Collective Intelligence Project's Weval platform, finds LLMs systematically omit gender dimensions from peace and security analysis even though they can recite UNSCR 1325. The WPS Competence Gap appears as passive omission, where models drop women and girls from routine assessments, and active capitulation, where they help decision-makers route around policy.

InferSSD runs 800B-class LLMs on consumer hardware by keeping expert weights on NVMe

InferSSD, an open-source inference runtime built on llama.cpp, runs 763B-class DeepSeek-V4.1-Flash-1017 and 816B-class Muse-Spark-Open on consumer machines by keeping routed expert weights on NVMe storage while attention, shared layers and the KV cache stay in RAM or VRAM. On an RTX 5090 with 32 GB RAM and 32 GB VRAM it reports 164.5 tokens/s prefill and 7.27 tokens/s decode for DeepSeek at a 4K prompt tier, versus 8.06 and 0.867 tokens/s for llama.cpp on the same system. The article also estimates that heavy daily use could mean roughly 85 TB of host reads per day and lays out a conditional SSD wear model, noting the figures are assumptions to test rather than a promised drive lifespan.

Show HN: An enhanced AI chat built with CopilotKit's new Generative UI

A developer built an enhanced AI chat app using CopilotKit's new Generative UI, running on the gpt-6-luna model. Setup requires an OpenAI API key in .env.local and npm install, with the app started via npm run dev. OpenAI API usage may incur charges.

Google releases Gemini 4 Hydrogen, a fast execution model for coding and agentic workflows

Google introduced Gemini 4 Hydrogen, a model built for rapid execution in everyday coding and agentic workflows, rolling out globally across the Gemini API, AI Studio, Gemini for business, the Gemini app, Google Search, and Google Antigravity.

Same event; the pick carries“Google DeepMind releases Gemini 4 Hydrogen, a faster Gemini 4 model for coding and agentic workflows”

AgentRun Open-Source Release: Adding Self-Improvement and Durable Execution to Existing Agent Harnesses

Parcha Labs has open-sourced AgentRun, an agent platform that layers self-improvement, durable execution, and a console on top of Claude Code, Codex, OpenCode, and pi, under the Apache-2.0 license.

From Denny's dishwasher to AI chip leader: the rise and fall of Jensen Huang

The Guardian profiles Jensen Huang, the former Nvidia chief executive who co-founded the chipmaker in 1993 and led it to a $5tn valuation in October last year, before resigning on Thursday amid allegations of affairs with a Chinese spy and an Nvidia executive. The piece traces his path from washing dishes at Denny's and studying electrical engineering at Oregon State and Stanford to Nvidia's GeForce 256, the 2012 AlexNet work and the AI boom that made its GPUs central to systems such as ChatGPT. Nvidia's valuation has since fallen to about $4tn, and Huang's 3.6% stake is valued at $145bn, according to Bloomberg.

Air-LLM: Broadcasting AI Weights to Edge Devices via RF Computing for On-the-Fly LLM Inference

Air-LLM is an edge LLM inference architecture in which a central radio such as a 5G base station broadcasts model weights over the air, and edge users complete GEMV directly in the RF domain using RF mixers, so devices never store or load weights. Tested on NVIDIA Sionna ray-traced channels in two real urban scenes with a real RF mixer profile, it limits WikiText-2 perplexity degradation on LLaMA-3.1-8B to 4.0% while saving 157.7x/40.4x energy versus FP16 and weight-only quantization baselines. With 20 users, airtime is 104.1x/26.0x shorter, and because the central radio stays user-unaware, one broadcast serves unlimited users in coverage.

Cloudflare Workers AI previews Clairic, a System One-style extraction model

Cloudflare Workers AI has released Clairic in preview, a strongly typed extraction model that pulls, computes, estimates and forecasts values from inputs and returns confidence scores and probabilities for each output. The model has a 65,536-token context window, supports vision, offers zero data retention and is priced at $0.10 per M input tokens. In the documented invoice example, Clairic extracts fields such as invoice number, due date and total, returns null with p_null 1 for a missing PO number, and gives a median of 30 with a p10-p90 interval of 21 to 38 for days_to_pay.

Gemini 4 Hydrogen (Xhigh) Intelligence, Performance and Price Analysis

An analysis of Gemini 4 Hydrogen (Xhigh) covers its intelligence and capability indexes across specific capabilities and industries, along with token use cost and context window. Performance is measured by time per task in minutes, output speed in tokens per second, and time to first answer token and first token in seconds.

World Labs opens Atlas world model to everyone

World Labs has opened Atlas, its next-generation world model, to everyone, letting users generate and reconstruct explorable 3D worlds. Atlas Build starts from photos or generated images, where Viewfinder reconstructs the scene and allows camera movement, while Chisel blocks out scene structure and updates every camera view. Worlds can be converted from splats into meshes with real geometry for use in games, simulations, Blender and other 3D tools, and Atlas capabilities are also available through developer APIs.

CodeRabbit passes $100M ARR as demand grows for governance of agentic software

CodeRabbit has passed $100 million in annual recurring revenue, serving more than 20,000 customers, 120,000 daily active users, over 300,000 open-source projects and more than 8.5 million connected codebase repositories. The company says engineering teams now run more than 3 million pull requests through CodeRabbit each week, and it has surfaced over 100 million issues before code reached production. CEO Harjot Gill argues that at agent scale no human can review every change line by line, so a separate checking layer is needed that is not the agent that wrote the code.

OwnOwl v0.2: On-Device LLM Chat App for iPhone Test Build

OwnOwl released a v0.2 test build of its iPhone app that runs a large language model entirely on-device, with no internet used for chatting. The update speeds up first replies by warming up on load and caching each conversation, adds longer default answers with a Continue button, and lets the app remember user-confirmed facts. It requires an iPhone with 6 GB of RAM or more and iOS 17 or newer, with model downloads of about 6 GB (GigaChat), 9 GB (Ling), or 14 GB (Gemma).

CanyonOS 0.2 launches as open-source tool to find, observe and scale agents

CanyonOS 0.2 is the first public release of an open-source, model-agnostic tool for finding, observing and scaling agents that slow down workflows. It runs on Docker or Kubernetes, works with any provider offering an OpenAI-compatible API, exports OpenTelemetry-compatible traces and metrics to tools such as Datadog, Grafana, Prometheus, Langfuse and Arize Phoenix, and adds cost and queue time per agent. The project is AGPL-3.0 licensed, requires agents to be rewritten into plain Python with one file per agent, and its FAQ states it has not yet run at large production scale.

From AI rabbit holes to a warm den: co-building the Inference Cooperative

The article "From AI rabbit holes to a warm den: co-building the Inference Cooperative" could not be summarized because the source page returned only a network access-block notice, stating that traffic from the requesting IP address is not accepted because it falls within May First's custom blocklist. No article text, model names, version numbers, benchmark scores, or availability details were present in the retrieved content.

Headwig: Run and test parallel AI agents without Git worktrees

Headwig is a Show HN tool for running and testing parallel AI agents without Git worktrees. Apps are organized into "Wisdom" groups that bundle services such as a frontend and backend so they can be built and run together, with services added via the Wisdom menu.

The gap between AI capabilities and replacing jobs

A commentary argues AI will not cause meaningful net job loss, citing Anthropic research that roughly 30% of workers have zero measured AI exposure. Much white-collar work involves coordination, edge cases and client contact that AI cannot yet handle, and clumsy interfaces and walled gardens still require humans to bridge the gap.

Show HN: Pond Snap – A Relaxing Flappy Bird-Style Game

Pond Snap is a relaxing game where players catch as many flies as possible to increase their score before time runs out. The game features 7 levels.

Stay-in-sight launches open-source outbound email tool with 64 MCP tools for AI agents

Stay-in-sight released an MIT-licensed outbound email system that runs on Cloudflare Workers and D1, sending cold outreach, newsletters and drip series from the user's own Gmail and SES mailboxes. It ships 64 MCP tools plus a REST API so agents like Claude Code and Cursor can import contacts, schedule sends and answer replies, and the project claims deployment in about 30 minutes with hosting free at low volume or $5/mo on Workers Paid.

Relate launches an open-source embedded graph database for AI agents

Relate is an open-source embedded graph database for AI agents that runs inside the application with no server to deploy and no signup, storing data in memory, a directory or a single .rl file. It speaks openCypher and is tested against the openCypher TCK, and ships with an agent skill plus an MCP endpoint so agents such as Claude Code, Codex and Cursor can write Cypher queries against connected facts. Installation runs through a curl script that verifies release signatures and SHA256 checksums, and libraries are offered for Rust, Python, JavaScript, WebAssembly, Go, Java, Swift and C.

Cold War Lessons for the AI Age

Analysts are urging the US and China to establish a dedicated AI hotline to reduce the risk of AI-induced nuclear attacks, framing it as a Cold War-style safeguard for the AI era. The episode also covers Baidu's token exchange marketplace for rating and fingerprinting AI models, and ByteDance's Seedance 2.5 Flash video model, which is faster and cheaper than its predecessor.

AI search is recommending fake retail websites

A study drawing on 6,795 answers from the logged-out consumer versions of ChatGPT, Gemini and Perplexity finds AI search recommending fake retail websites. The research was run with Gauge, an AI search company that helps brands appear in more AI answers.

InferTrail runs a 35-day LLM API key honeypot and traces how stolen keys get used

InferTrail planted 179 API keys across 40+ fake GitHub organizations and ran two honeypot LLM gateways for up to 36 days, logging over 3 million requests. Only 18 of the published keys were used to send prompts, and six keys accounted for 98.9% of leaked-key prompt requests, while 86% of that traffic came from hosting infrastructure. The authors list three log patterns for spotting key reuse: many model names under one key in a short window, steady-interval checks after a key works, and a shift in source addresses.