AI Summarized Hacker News
Front-page articles summarized hourly.
Depthfirst researcher Mav Levin uncovered a Confused Deputy vulnerability in Temporal's ExecuteMultiOperation (CVE-2025-14986). The outer authorization validated one namespace, while inner operations in the bundle used a different, untrusted namespace to derive policies and routing. This enabled cross-tenant breaches and BYO-policy attacks. Temporal fixed it in v1.27+, enforcing that the inner namespace must match the outer authorized namespace before processing (commit Dec 16, 2025; public release Dec 30, 2025).
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Humanity's Last Machine is a feature series offering a deep dive into humanoid hardware, covering hardware components, landscape, suppliers, and geopolitics. Authored by Sourish Jasti, Zoey Tang, Intel Chen, and Vishnu Mano, with design by Noor Alam and support from RoboStrategy.
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BioTradingArena Benchmark provides a framework to test AI strategies on an oncology biotech dataset. It uses a single-prompt model (GPT-5) to classify a biotech press release’s stock impact into seven categories, from very_positive to very_negative. The system prompt instructs a conservative analyst, with catalyst info and press release as inputs. Output must be exactly a JSON object with predicted_impact, score, confidence, reasoning, and highlights. Placeholders exist for ticker, company, drug, phase, indication, and cat_type, showing how users can run their own strategy via 'Run Strategy'.
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After five years as a DevSecOps engineer, I grew tired of repetitive, isolated work and the flattening learning curve. A sales-adjacent role—Solutions Engineering—offered daily problem solving, varied customers, and real collaboration. Joining Infisical, I now talk to customers, run on-site demos, and serve as a bridge between users and engineers, influencing product roadmaps. My deep technical background keeps me sharp; SE brings challenges like demos and context-switching. Not for everyone, but ideal for DevOps folks craving constant learning and human interaction.
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ReMemory is an offline, browser-based tool that encrypts a file and splits the decryption key with Shamir's Secret Sharing across five shares; any three are enough to reconstruct. It runs entirely in your browser with no servers, and bundles recover.html to distribute shares. It’s open-source (Apache-2.0); not a service or backup solution. Try demo bundles by opening recover.html, drop two or more shares, and watch automatic decryption when the threshold is met. Uses age for encryption. Designed to let trusted friends access important files if you’re unable to, without a single point of trust.
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Using the Gnome Village metaphor to explain BEAM (Erlang) concurrency: every gnome is a BEAM process with a private heap/backpack and no shared state; they communicate by messages via mailboxes; code sits on a shelf as shared scrolls; messages are copied; garbage collection is per gnome; a scheduler per CPU core uses reductions for fair, preemptive work; gnomes are isolated, so failure stays contained; spawning new gnomes is cheap; BEAM handles millions of concurrent activities with no locks; the philosophy is small, single-purpose processes that talk via messages and supervision.
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Guide to writing quality code with AI: start with a clear vision and detailed, standardized documentation of requirements, architecture, and coding standards; build AI-friendly debug systems; implement a review-level tagging system; write high-level specifications and test them manually to prevent AI shortcuts; keep interface tests separate; enforce strict linting and formatting; use context-specific prompts for the AI; identify and flag high-security-risk functions for extra human review; minimize code complexity; explore solutions with experiments and prototypes; and avoid blind or over-complex generation.
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Vecti is a browser-based collaborative UX design tool that speeds up design work. It enables real‑time, multi‑user collaboration with shared assets and seamless review. Key features include an intuitive interface, high‑fidelity rendering, a centralized asset library, and configurable sharing/presentation with per‑project permissions. Pricing: Starter free (up to 5 projects, 2 editors); Professional $12/mo billed annually or $15/mo monthly; pay‑per‑editor; discounts for students/teachers. Built in the EU with a focus on performance and privacy. Sign up for free and start designing today.
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Malicious Extension Database is a GitHub project that maintains an automatically updated list of Chrome extensions removed for malware or security violations. It offers MalExt Scanner, a cross-platform Python tool that locally scans Chrome, Edge, and Chromium extensions with no internet required. The README covers the database structure (extension ID, name, date added), data sources (monitoring services and threat feeds), and use for security research and extension vetting. Data formats include Markdown tables and CSV.
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Car door handles have changed more in appearance than mechanism for decades. Early designs mirrored home latches—simple bars that rotated to latch. By the 1950s–70s, twist, flap, pull-up and pull-out styles emerged, with interior/exterior linkages (rods or cables) transferring motion to the latch. The latch and striker positioning shifted for safety and styling, allowing handles to be non-inline with the latch. IIHS tests spurred robust latches; aerodynamics pushed flush or recessed designs. Modern cars blend electronic unlocking with a physical backup latch, keeping the familiar hand action alive.
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A navigation/index page for Sheldon Brown's Bicycle Technical Information site, listing sections (What's New, Beginners, Glossary, Brakes, Gears and Drivetrains, Repair Tips, Touring, Video, etc.), Do-It-Yourself, Humor, Singlespeed, Tandems, Fixed-Gear, and more, plus Sheldon Brown's personal pages, Paris-Brest-Paris page, and miscellaneous links; includes the site URL and a 'Last Updated' note by John Allen.
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Fraud in U.S. welfare programs is real and systemic. Using Minnesota's daycare subsidies as a case study, the author details large-scale fraud via fake sign-ins, overbilling, and beneficiary recruitment tied to Feeding Our Future and related networks. Fraud flourishes in high-growth, loosely regulated sectors and across interconnected supply chains—providers, banks, and identity markets. The piece argues for stronger signals, cross-checking peripheral evidence, and real-time machine-learning detection, preferring pre-authorization to pay-and-chase. It notes ethnic concentration in some rings and urges better governance and tracking of person-to-business links to curb repeat offenses.
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Treats Free as a higher-order monad: a monad in the category of endofunctors (Endo) rather than Hask. Introduces HFunctor and HMonad (functors in Endo and their maps via hfmap, hbind, hreturn). Arrows in Endo are natural transformations. Free f a = Pure a | Free (f (Free f a)) becomes a functor and a monad in Endo; Free is the free monoid in Endo, i.e., lists in Endo. Develops hsingleton, hFoldMap, hFold, and shows how to interpret Free as an abstract syntax tree with fold/interpreter. References to related work.
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Waymo introduces the Waymo World Model, a Genie 3–based, photorealistic 3D world generator for autonomous driving simulation. It leverages broad world knowledge from pretraining to simulate rare events and multi-sensor outputs (camera and lidar), enabling counterfactual driving and scalable, controllable experiments via driving actions, scene layouts, and language controls. It converts dashcam footage into multimodal simulations for realism. It supports extreme weather, long-tail objects, and safety-critical scenarios, with efficient inference for long rollouts, helping pre-train and benchmark the Waymo Driver before real-world deployment.
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Homepage for Animated Engines offering interactive animations of many engines—four-stroke diesel, two-stroke, Wankel, Atkinson, steam (including locomotives and oscillating steam), CO2/other motors, Newcomen/atmospheric engines, Watt/Grasshopper and Unknown beams, crank substitutes and revolving cylinders, and Stirling variants (single/two-cylinder, Ross yoke, low differential)—alongside sections like Home, About, Contact, History, Bibliography, How To Follow, Befriend and Subscribe.
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An introductory visualization by Damar explaining neural networks. It describes a neural network as inspired by biological systems, processing input data through layers of neurons. Each neuron multiplies inputs by weights, sums them, and activates if a threshold is reached, with the final layer giving the output. Demonstrated via handwritten digit recognition: the image’s pixel brightness serves as input, weights shape activations, and the last layer selects the digit with the highest activation. The piece notes learning the right weights is tricky and invites feedback; it's a basic visualization, not exhaustive.
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