nasa.gov
NASA’s Perseverance Now Autonomously Pinpoints Its Location on Marshttps://www.nasa.gov/missions/mars-2020-perseverance/perseverance-rover/nasas-perseverance-now-autonomously-pinpoints-its-location-on-mars/There is no GPS at the Red Planet, but a new technology called Mars Global Localization lets Perseverance determine precisely where it is — without human help. Imagine you’re all alone, driving along in a rocky, unforgiving desert with no roads, no map, no GPS, and no more than one phone call a day for someone to inform you exactly where you are. That’s what NASA’s Perseverance rover has been experiencing since landing on Mars five years ago. Though it carries time-tested tools for determining its general location, the rover has needed operators on Earth to tell it precisely where it is — until now. A new […]Feb 18, 2026 5:05 PM
news.ycombinator.com
Show HN: AFS – filesystem-native memory layer for AI agentshttps://news.ycombinator.com/item?id=47062802I've been building multi-agent AI pipelines and kept running into the same structural problem: agents are stateless by default. Every session restart discards everything they learned. In multi-agent systems it compounds — Agent-1 learns something Agent-2 will never know. I started calling it "agent amnesia." AFS is my attempt to fix this. The central architectural decision is unusual: your filesystem IS the memory layer. There's no separate database process to run, no cloud service to authenticate against. AFS stores memories as JSON files in a `.afs/` directory, with SQLite FTS5 for full-text search, HNSW indices for vector similarity, and msgpack-encoded graph edges for relationships. *Three-tier memory lifecycle (automatic)* Memories auto-migrate without explicit management: - Working memory (< 24h): raw observations, fast access, no compression- Episodic memory: full history with provenance, searchable - Semantic memory: auto-consolidated knowledge (scheduler synthesizes patterns fFeb 18, 2026 4:31 PM
nasa.gov
I Am Artemis: Katie Oritihttps://www.nasa.gov/general/i-am-artemis-katie-oriti/Listen to this audio excerpt from Katie Oriti, Orion European Service Module Integration Office manager: Growing up in rural America, Katie Oriti could only dream of working for NASA. Not because she wasn’t inspired by the dark, star-filled skies of her hometown Shelby, Ohio, but because it felt out of reach. “I think NASA was […]Feb 18, 2026 4:30 PM
esa.int
Revealed: 10 new insights in climate sciencehttps://www.esa.int/Applications/Observing_the_Earth/FutureEO/Space_for_our_climate/Revealed_10_new_insights_in_climate_scienceEach year, the world’s leading climate scientists evaluate the most critical evidence on how our planet is changing. Their assessments draw heavily on data from Earth-observing satellites – and the latest report delivers a stark warning: the planet’s energy balance is drifting further out of alignment, ocean warming is now accelerating, and the land’s capacity to absorb carbon is declining, along with other troubling trends.Feb 18, 2026 1:00 PM
spacedaily.com
Deep sea wrinkles reveal ancient chemosynthetic microbeshttps://www.spacedaily.com/reports/Deep_sea_wrinkles_reveal_ancient_chemosynthetic_microbes_999.htmlLos Angeles CA (SPX) Feb 16, 2026 A chance observation on a Moroccan hillside has revealed that some wrinkled rock textures from the deep sea may actually be fossilized microbial communities, not just products of underwater landslides. While hiking in 2016, University of Texas at Austin geologist Rowan Martindale noticed a slab of sedimentary rock with a distinctive wrinkled surface that looked like classic microbial mat fossilsFeb 18, 2026 12:37 PM
spacedaily.com
'Unprecedented' emissions maps will hone mitigationhttps://www.spacedaily.com/reports/Unprecedented_emissions_maps_will_hone_mitigation_999.htmlIthaca, NY (SPX) Feb 16, 2026 To lower agricultural emissions, policymakers and communities first need to pinpoint the sources. Not just by country but crop by crop, field by field. In other words, they need maps. Detailed maps. In a study published Feb. 13 in Nature Climate Change, researchers have synthesized data from multiple ground sources and models to map global cropland emissions at high resolution - down to abFeb 18, 2026 12:37 PM
github.com
Show HN: Recall Lite – Local semantic search for Windows (Rust/Tauri, no cloud)https://github.com/illegal-instruction-co/recall-litewindows search is useless. copilot recall sends your screen to microsoft. i got mass data, shit filenames, and zero patience. so i wrote my own.you type what you mean, it finds the file. that's it. runs in tray, Alt+Space pulls it up."photos from istanbul" → finds IMG_4392.jpg because it read the GPS from EXIF and reverse geocoded it "summer morning" → finds a photo shot in july at 8am because it expanded the date to human words OCR built in. windows native engine, zero extra install hybrid search: vectors + full-text + JINA cross-encoder reranker. not a toy chunks code at function boundaries. 60+ languages. not "split every 500 bytes" garbage MCP server included. one exe, plug into cursor/claude/copilot. your AI gets local codebase access, no API keys rust + tauri. lancedb. ~2GB models, downloaded once, runs forever. indexes 120+ file types. MIT.https://github.com/illegal-instruction-co/recall-liteFeb 18, 2026 9:45 AM
news.google.com
Designers Reveal the 29 Surprisingly Chic Finds They ALWAYS Buy on Amazonhttps://news.google.com/rss/articles/CBMigwFBVV95cUxNREpRSW1GVHVJbm51XzNCUkFPNGl6SEMyTTNHdlVka0xnZm1kM2VRaUw2SlktMzJ3VEdhbWJadGxKRkMwMXpBUldoRzNqNzVvV0MzX0NLTU5mX3BOZDVlQjdvQ1dsSEhjR1ZmYmtFX092NF8zT0tpVThHMXVjQ2hzSkk1RQ?oc=5Designers Reveal the 29 Surprisingly Chic Finds They ALWAYS Buy on Amazon veranda.comFeb 18, 2026 8:00 AM
github.com
Show HN: Corral – Auth and Stripe billing that AI coding agents can set uphttps://github.com/llama-farm/corralHey HN. I built Corral because every time I asked an AI coding agent to "add auth and payments," it hallucinated for an hour and produced broken code. Wrong imports, phantom endpoints, a login page wired to nothing.The problem isn't the agent. It's that auth-to-billing-to-gating is genuinely hard to wire, and there's no machine-readable spec for how to do it.Corral is an open-source CLI (MIT) that gives your agent a spec it can read (llms.txt), then scaffolds auth + Stripe billing into your existing project. It detects your framework (Express, Next.js, Hono, Fastify, and 13+ more), embeds into your existing server (doesn't create a new one), and generates working components: profile page, admin dashboard, plan gating, Stripe checkout, usage metering. One YAML config file controls everything.The agent workflow is 9 commands. Every command supports --json. Errors include a "fix" field. Exit 0 means deploy-ready.I hardened this across 10 framework/DB combos with blind agent tests: 3 AI moFeb 17, 2026 9:03 PM
nasa.gov
NASA Advances High-Altitude Traffic Managementhttps://www.nasa.gov/centers-and-facilities/ames/nasa-advances-high-altitude-traffic-management/High-altitude flight is getting increasing attention from sectors ranging from telecommunications to emergency response. To make that airspace more accessible, NASA is developing an air traffic management system covering those altitudes and supplementing its work with real-time data from a research balloon in Earth’s stratosphere. Aircraft at high altitudes – 50,000 feet or higher, or roughly 10,000 to 20,000 feet above most commercial traffic – offer new […]Feb 17, 2026 4:36 PM
deathwink.com
Show HN: Deathwink – Send messages to people after you diehttps://deathwink.comHey HN. I built Deathwink (https://deathwink.com) -- a web app that delivers your messages after you die.You write a message, record a video or audio message, or both -- attach whatever you want, add your recipients, and go live your life. Every 30 days, we check in. If you stop responding, after 90 days we assume you've died and deliver your messages.The idea came from a real place. In my early 20s, my best friend Sean and I came up during the first dot-com boom. We were broke, dumb, and inseparable. He died of an overdose a few years later. I never told him what his friendship meant to me—not because I didn't feel it, but because that's not what guys like us did. I wrote a memoir about it (How You Wish You Could Leave), and somewhere in the process of reliving all that regret, I realized I wanted to build the thing I wished had existed.On the technical side: it's serverless on AWS -- Lambda functions behind API Gateway, RDS, Angular frontend on S3/CloudFront, Cognito for auth, SES foFeb 17, 2026 4:18 PM
spacedaily.com
Valen array advances multi-mission sensing techhttps://www.spacedaily.com/reports/Valen_array_advances_multi_mission_sensing_tech_999.htmlLos Angeles CA (SPX) Feb 17, 2026 Northrop Grumman has introduced Valen, a new multifunction active electronically scanned array that the company describes as a generational leap in sensing technology for U.S. and allied forces. The wideband array is designed to deliver enhanced situational awareness and a tactical edge across crewed and uncrewed platforms operating from the atmosphere to space. Valen combines radar, electFeb 17, 2026 11:51 AM
spacedaily.com
Photonic neurons push ultra-fast trading beyond electronic limitshttps://www.spacedaily.com/reports/Photonic_neurons_push_ultra_fast_trading_beyond_electronic_limits_999.htmlTokyo, Japan (SPX) Feb 13, 2026 In high frequency stock trading, the fastest systems typically capture the greatest advantage, putting a premium on shaving every possible fraction of a second from end to end latency. For years, the most advanced platforms have relied on FPGA based electronic processors to minimize delay, but these architectures are now running into hard limits set by clock speeds, data conversion overhead, andFeb 17, 2026 11:51 AM
spacedaily.com
Course correction needed quickly to avoid pathway to 'hothouse Earth' scenario, scientists sayhttps://www.spacedaily.com/reports/Course_correction_needed_quickly_to_avoid_pathway_to_hothouse_Earth_scenario_scientists_say_999.htmlCorvallis OR (SPX) Feb 13, 2026 Scientists say multiple Earth system components appear closer to destabilization than previously believed, putting the planet in increased danger of following a "hothouse" path driven by feedback loops that can amplify the consequences of global warming. Published in the journal One Earth, "The risk of a hothouse Earth trajectory" is an analysis by an international collaboration led by OreFeb 17, 2026 11:51 AM
spacedaily.com
Assistive home robot learns coordinated dual arm tasks by watching peoplehttps://www.spacedaily.com/reports/Assistive_home_robot_learns_coordinated_dual_arm_tasks_by_watching_people_999.htmlBerlin, Germany (SPX) Feb 13, 2026 Researchers at Universidad Carlos III de Madrid (UC3M) have developed a new way for an assistive robot to learn how to move its arms autonomously by combining observational learning with communication between its limbs. The approach lets the robot watch how people perform everyday tasks and then adapt those movements so its two arms can work together safely and efficiently in domestic settings sFeb 17, 2026 11:51 AM
bing.com
How to Pay Your Taxes Onlinehttp://www.bing.com/news/apiclick.aspx?ref=FexRss&aid=&tid=6a8cac19501547a390b9da78a0b98180&url=https%3A%2F%2Fwww.wired.com%2Fstory%2Fhow-to-pay-taxes-online%2F&c=5664697933603696206&mkt=en-usThe old adage is true: The only things you can't escape in life are death and taxes. In the US, state requirements vary by a multitude of factors, and the federal government's tax code is arcane. The ...Feb 17, 2026 11:06 AM
news.ycombinator.com
Show HN: Fixing AI's Core Flaws, A protocol cuts LLM token waste by 40–70%https://news.ycombinator.com/item?id=47045604WLM (Wujie Language Model), a protocol stack + world engine that rethinks AI from token prediction to structural intelligence. I built this to fix the problems we all deal with daily: hallucination, drift, uncontrollable behavior, black-box reasoning, unstructured knowledge, and chaotic world/agent generation.The Pain We Can’t Keep IgnoringCurrent LLMs/agents are token predictors, not intelligences. They suffer from:• Hallucination: No grounded structure → guesses instead of knowing.• Persona drift: Personality is prompt-hacked, not structural.• Uncontrollable behavior: Sampling, not deterministic structure.• Black-box reasoning: No traceable reasoning path.• Knowledge soup: Embeddings/vectors, no formal structure.• Fragile world models: Prediction, not interpretable structure.• Random generation: No consistent causal/world rules.We’ve patched these with RAG, fine-tuning, prompts, RLHF — but they’re band-aids on a foundational flaw: AI lacks structure.How WLM Solves ItWLM is a 7-layer Feb 17, 2026 10:01 AM
news.ycombinator.com
Show HN: Decision OS – A framework to evaluate job offer risk (not just salary)https://news.ycombinator.com/item?id=47044706Hello HN,A few days ago I shared my "Should I Quit?" calculator. The most common feedback was: "Okay, I should quit, but how do I know the next thing isn't worse?"So I built Part 2: The Offer Evaluator.Most offer comparison tools just look at Total Comp or commute time. I wanted to model the structural risks of a career move using a weighted decision matrix.The Methodology: The "Decision OS" compares three states: Current Role vs. New Offer vs. The Market (Keep Searching). Instead of just looking at cash, it scores them on: Reversibility: If this role is a catastrophe, how hard is market re-entry? (High reversibility = lower risk). Sustainability: Calculated based on the gap between your current burnout levels and the new role's expected operational tempo. Downside Safety: Modeling the stability of the new company's runway vs. your current role. It produces a PDF "Dossier" that breaks down these variables so you can see the trade-offs clearly.I’m curious if you think "Reversibility" shFeb 17, 2026 7:37 AM
news.ycombinator.com
Ask HN: How does the cost of CPU-bound computations scale in cloud computing?https://news.ycombinator.com/item?id=47044151Let's say that I'm a rich mathematician (that would be nice) and want to sponsor some computation that takes a certain gargantuan number N of floating or integer operations, and it can be parallelized easily in the cloud, and my programmers have come up with a reasonably efficient implementation, which I benchmark with some smaller-scale tests. The I/O and storage costs are low; the bulk of the cost is going to be pure computation.Now I'm ready to get out my checkbook.What factors influence the cost of such a computation in today's cloud computing market?How does the price scale with N and the rate at which I want to complete the problem? (for example, if it takes 1000 AWS instances 10 months or 10,000 AWS instances 1 month, am I going to pay the same? I'm assuming the length of time to run this is less than a year, so not long enough that the cost would decrease significantly during the computation.)Are there aspects of flexibility that would decrease the price? (example: the cloud seFeb 17, 2026 5:48 AM
coolwulfAI.com
Show HN: CoolWulf AI – A personal AI assistant built in Go, optimized for macOShttp://coolwulfAI.comHey HN,I've been building CoolWulf AI (https://coolwulfai.com), a self-hosted personal AI assistant. After seeing OpenClaw blow up, I wanted to share what I've been working on — a different approach to the same problem.*Why I built this:*I tried OpenClaw and found the Node.js/TypeScript stack heavy for what's essentially a local agent. pnpm, Node 22+, React — lots of moving parts. I wanted something that's a single binary, zero runtime dependencies, and feels native on macOS. So I built it in Go.*How it's different from OpenClaw:*- *Single binary, no runtime needed.* Download, set your API key, run. No Node.js, no pnpm, no build step. One ~100 MB binary. - *Built in Go.* Fast startup, low memory footprint, compiles to a native executable. No garbage collector pauses from a JS runtime sitting in the background. - *macOS-native integrations.* Deep AppleScript-based control of Apple Notes, Reminders, Calendar, Terminal.app, and WeChat desktop. These aren't browser hacks — they use the natFeb 17, 2026 5:32 AM
