惯性聚合 高效追踪和阅读你感兴趣的博客、新闻、科技资讯
阅读原文 在惯性聚合中打开

推荐订阅源

U
Unit 42
N
News and Events Feed by Topic
S
Schneier on Security
G
GRAHAM CLULEY
Scott Helme
Scott Helme
钛媒体:引领未来商业与生活新知
钛媒体:引领未来商业与生活新知
让小产品的独立变现更简单 - ezindie.com
让小产品的独立变现更简单 - ezindie.com
GbyAI
GbyAI
OSCHINA 社区最新新闻
OSCHINA 社区最新新闻
C
CERT Recently Published Vulnerability Notes
T
The Exploit Database - CXSecurity.com
C
Cisco Blogs
T
The Blog of Author Tim Ferriss
Cisco Talos Blog
Cisco Talos Blog
P
Privacy & Cybersecurity Law Blog
K
KPMG report finds enterprise disconnect between AI and its ROI | CIO
博客园 - 司徒正美
Blog — PlanetScale
Blog — PlanetScale
Project Zero
Project Zero
MyScale Blog
MyScale Blog
Recent Commits to openclaw:main
Recent Commits to openclaw:main
Apple Machine Learning Research
Apple Machine Learning Research
小众软件
小众软件
The Last Watchdog
The Last Watchdog
Vercel News
Vercel News
The Cloudflare Blog
C
Check Point Blog
Help Net Security
Help Net Security
Microsoft Security Blog
Microsoft Security Blog
AI
AI
Simon Willison's Weblog
Simon Willison's Weblog
云风的 BLOG
云风的 BLOG
M
MIT News - Artificial intelligence
Stack Overflow Blog
Stack Overflow Blog
腾讯CDC
NISL@THU
NISL@THU
S
Security @ Cisco Blogs
CTFtime.org: upcoming CTF events
CTFtime.org: upcoming CTF events
S
SegmentFault 最新的问题
MongoDB | Blog
MongoDB | Blog
C
CXSECURITY Database RSS Feed - CXSecurity.com
T
Threatpost
AWS News Blog
AWS News Blog
Cloudbric
Cloudbric
N
News and Events Feed by Topic
PCI Perspectives
PCI Perspectives
S
Securelist
Cyber Security Advisories - MS-ISAC
Cyber Security Advisories - MS-ISAC
V
Vulnerabilities – Threatpost
S
Secure Thoughts

Hacker News

Introducing Claude Opus 4.7 Qwen Studio The Future of Everything is Lies, I Guess: Where Do We Go From Here? GitHub - SeanFDZ/macmind: Single-layer transformer in HyperTalk for the classic Macintosh Show HN: Agent-cache – Multi-tier LLM/tool/session caching for Valkey and Redis Moving a large-scale metrics pipeline from StatsD to OpenTelemetry / Prometheus GitHub - Nightmare-Eclipse/RedSun: The Red Sun vulnerability repository GitHub - SethPyle376/hiraeth: Local AWS emulator focused on fast integration testing, with SQS support, SQLite-backed state, and a debug-friendly web UI. GitHub - macOS26/Agent: Any AI, replaces Claude Code, Cursor, OpenClaw. Over 18 LLM providers (Claude, OpenAI, Gemini, Ollama, Zai, HF, Qwen) wired into a native Mac app that writes code, builds Xcode projects, bumps versions, manages git, automates Safari, use AppleScript, JS or Accessibility, extend Agent! w/ MCP Servers, run tasks from your iPhone via Messages. YouTube now lets you turn off Shorts I Made a Terminal Pager Burgers | マクドナルド公式 Commands — HackerNews CLI documentation ChatGPT for Excel PiCore - Raspberry Pi Port of Tiny Core Linux Live Nation illegally monopolized ticketing market, jury finds Google Broke Its Promise to Me. Now ICE Has My Data. Founding Engineer at Adaptional | Y Combinator CRISPR takes important step toward silencing Down syndrome’s extra chromosome GitHub - saffron-health/libretto: The AI toolkit for building reliable browser automations US v. Heppner (S.D.N.Y. 2026) no attorney-client privilege for AI chats [pdf] Unexpected €54k billing spike in 13 hours: Firebase browser key without API restrictions used for Gemini requests Retrofitting JIT Compilers into C Interpreters IPv6 – Google The Accursèd Alphabetical Clock Cybersecurity Looks Like Proof of Work Now Fragments: April 14 Cal.com Goes Closed Source: Why AI Security Is Forcing Our Decision | Cal.com - Scheduling Software for Online Bookings Laravel raised money and now injects ads directly into your agent When moving fast, talking is the first thing to break Too much Discussion of the XOR swap trick – Heather Cafe Introduction to Spherical Harmonics for Graphics Programmers The Grand Line Building a Z-Machine in the worst possible language High-Level Rust: Getting 80% of the Benefits with 20% of the Pain GitHub - duguyue100/midnight-captain: Inspired by Midnight Commander, tailored to my taste. How to build a `git diff` driver · Jamie Tanna | Software Engineer Center for Responsible, Decentralized Intelligence at Berkeley The Local Universe’s Expansion Rate Is Clearer Than Ever, but Still Doesn’t Add Up - A new synthesis of astronomical measurements confirms a persistent mismatch that could point to physics beyond current models The air throughout our homes is infused with microplastics. But there are things you can do to breathe less of them The disturbing white paper Red Hat is trying to erase from the internet – OSnews The Future of Everything is Lies, I Guess: Annoyances ‘Abhorrent’: the inside story of the Polymarket gamblers betting millions on war Productive procrastination — Max van IJsselmuiden maps, territory and LMs 447 Terabytes per Square Centimetre at Zero Retention Energy: Non-Volatile Memory at the Atomic Scale on Fluorographane Show HN: Pardonned.com – A searchable database of US Pardons 20 Years on AWS and Never Not My Job The Seasons are Wrong Artemis II crew splashes down near San Diego after historic moon mission We gave an AI a 3 year retail lease in SF and asked it to make a profit | Andon Labs How a dancer with ALS used brainwaves to perform live On filing the corners off my MacBooks Installing every* Firefox extension OpenClaw’s memory is unreliable, and you don’t know when it will break Steve Blank Nowhere Is Safe Chimpanzees in Uganda locked in vicious 'civil war', say researchers watgo - a WebAssembly Toolkit for Go linux/Documentation/process/coding-assistants.rst at master · torvalds/linux GitHub - callumlocke/json-formatter: Makes JSON easy to read. Founding Product Engineer at Bild AI | Y Combinator A compelling title that is cryptic enough to get you to take action on it GitHub - Keychron/Keychron-Keyboards-Hardware-Design: Industrial design files for Keychron keyboards and mice. 100+ models with CAD assets in STEP, DXF, DWG, and PDF. Source-available, with commercial use allowed for original compatible accessories within the license terms. [ANNOUNCE] WireGuardNT v0.11 and WireGuard for Windows v0.6 Released 1D-Chess Helium Is Hard to Replace Cooperative Vectors Introduction | Evolve Keeping a Postgres queue healthy — PlanetScale Our response to the Axios developer tool compromise Do Americans read print books, e-books or audiobooks more? The Zettelkasten Method in Obsidian: A Practical Setup Guide Artemis II Is Competency Porn and We Are Starving For It WeakC4 Flight Viz — Cockpit View A Mexican surveillance giant you’ve never heard of is now watching the U.S. border Surelock: Deadlock-Free Mutexes for Rust RISC-V 101 – what is it and what does it mean for Canonical? | Ubuntu The Problem That Built an Industry How Much Linear Memory Access Is Enough? | Solidean Investigating Split Locks on x86-64 Simplest hash functions Sybilproof reputation mechanisms (2005) [pdf] What is a property? How Complex is my Code? Static code analysis in Kotlin — tools overview Toffoli gates are all you need PGLite evangelism dcmake: a new CMake debugger UI Clojure on Fennel part one: Persistent Data Structures Fragments: April 2 Python Release Python install manager 26.1 The Life and Death of the Book Review - Liberties Introducing Database Traffic Control — PlanetScale Bitcoin miners are losing $19,000 on every BTC produced as difficulty drops 7.8% God sleeps in the minerals Building slogbox Apple Silicon and Virtual Machines: Beating the 2 VM Limit Who was “Not Even Wrong” first? Pokemon Evolution Vs Darwinian Evolution The APL Programming Language Source Code
Curiosity’s 13 Years of Software Hacks Keeps It Alive on Mars
https://www.facebook.com/48576411181 · 2026-06-09 · via Hacker News

Thirteen years ago last August, I was camped out in NASA’s Jet Propulsion Laboratory press room in Pasadena, Calif., waiting to see whether the Curiosity rover would survive its descent and skycrane-assisted landing on the surface of Mars. It did, and it was awesome.

Since then, Curiosity (also known as Mars Science Laboratory) has traveled nearly 37 kilometers, drilled into and sampled 42 different rocks, and as of publication has snapped nearly 763,000 photos. The fact that this robot is still hard at work, getting real science done at the age of 13, is absolutely incredible—not only is Mars an actively hostile environment for robots, but the only kind of maintenance that JPL engineers can do is to send very, very careful software updates.

Nevertheless, the clever folks at JPL have managed to keep Curiosity safe, warm, mobile, and sciencing, despite well-worn wheels and less and less power every day. One of those folks is Alexandra Holloway, the assistant team chief for engineering operations for Curiosity, who spoke to IEEE Spectrum about keeping Curiosity roving, what its future looks like, and how JPL has used that experience to make rovers like Perseverance even more capable.

How astonished should we be that after 13 years on Mars, Curiosity is not only still doing science, but actually getting more capable?

A woman with large green eyes and a shaved head Alexandra Holloway is the assistant team chief for engineering operations on the Curiosity Mars rover at the Jet Propulsion Laboratory.Alexandra Holloway

Alexandra Holloway: I’m astonished! The longevity comes from a lot of ongoing work. It’s not just that Curiosity was built robustly; it’s also because we’re continuously putting in effort to ensure it can continue to have that lifespan. I think about all the different kinds of embedded systems there are, from cars to refrigerators, and none of them have the kind of longevity that we have with the rover. It’s mind-boggling, and it’s inspiring.

Is the Perseverance rover, which is nine years younger than Curiosity, significantly different in terms of its hardware and software?

Holloway: In terms of hardware, the rovers are actually very similar. Both use a RAD 750 processor and have the same amount of memory. However, Perseverance has an extra processor specifically for visual odometry, which allows it to drive autonomously. This difference reflects their primary mission designs: Perseverance was designed for driving long distances, while Curiosity is a mission focused on sampling as it goes. So Perseverance’s onboard scheduling capabilities are there to optimize its driving. In fact, just last year, Perseverance surpassed Curiosity’s driving distance after only about three years on Mars.

Curiosity Rover Memory and Software Fixes

Do you have some examples of significant tweaks the team has made to keep Curiosity roving?

Holloway: One of my favorite examples comes from a processor anomaly that happened on Sol 2172 [Ed. note: “Sol” is the term for a Martian day—about 24 hours and 40 minutes]. Curiosity has two computers, A and B. We landed on A, swapped to B due to a NAND memory anomaly early on (Sol 200). For years, we were chugging along on B, until one day there was a problem—B booted up, but it couldn’t mount its drive partition. We’d never seen this before. To preserve B’s data, we swapped back to A, which we hadn’t trusted in two thousand Sols. A also had a degraded memory, with only two gigabytes of usable storage space instead of four. We painstakingly transferred data from B over to A and then down to Earth, and eventually we ran out of stuff we wanted to transfer, which was really good, because A then started acting funny in the same way it did on Sol 200. It was acting like its memory was coming unsoldered. That’s bad.

We quickly swapped back to B, formatted it, and got it working again. The problem then became that we couldn’t trust A’s memory at all, but we needed a second computer as a “lifeboat” for diagnostics and transfers if B failed again. We realized we had one other place of memory: where we keep our flight software. We have four copies of the flight software (two current versions and two older versions) in different banks of very small amounts of memory, just 32 megabytes each. What if we just jettisoned the old flight software copies and used that 64-megabyte NOR memory as our file system for computer A?

So that’s what we did. It was so elegant! Computer A is operating with less than 1 percent of its original memory, but we can run a mission on it. A small mission, but we haven’t had to jettison any core capabilities. We can still drive, we can manage data, we can even theoretically do science. Everything works fine, just much slower and much smaller. That flight software release was even called “R-Hope“ because we hoped it would work.

What are the constraints on Curiosity’s lifespan?

Holloway: Our biggest hardware challenge is wheel wear. It looks like we’re driving on this sandy terrain with some rocks in it, and our intuition said that we could just drive over these rocks and they’d get pushed down into the sand and it would be no big deal. But what we ended up seeing was that those little rocks are actually the tips of giant boulders buried in the sand, and they’re razor sharp. Our wheels were getting ripped apart driving over them, especially our front wheels, so we started driving backwards.

We also monitor consumables. We consider the number of times we move our actuators. That’s a consumable. Curiosity hasn’t taken a selfie in a while, and one of the reasons is that it’s really hard on the joint actuators. Our onboard memory is a consumable, but surprisingly we’re not anywhere near our life cycle for memory. Our biggest consumable is power; we have an RTG, a nuclear power source, which decreases its output as it ages.

Newer missions are flying Snapdragon [processors], but Curiosity’s RAD 750 is a power hog. One of the things that we’ve rolled out that’s going really well is a way of reducing the amount of time we spend with the computer powered on, by harvesting time when we finish activities early and going to sleep, which lets us turn off the computers and some of the heating. Another thing we’re looking at is doing stuff in parallel when we’re on, like being able to drive or use the arm while communicating with an orbiter.

So power is decreasing, and that’s causing us to do all this parallelism work and become more efficient and nuanced in the way we operate. But we are not having any degraded science output at this time. Our wheels are still going, our arm is still okay for now, knock on wood. I would say maybe the bottleneck is budget.

Curiosity Rover’s Impact on Future Mars Exploration

What have you learned from Curiosity that will improve future missions?

Holloway: As an embedded flight software person, I think about how we can change, add, or modify software capabilities during the mission. There’s definitely a sweet spot for loading and patching flight software—some of these concepts were pioneered on Spirit and Opportunity and then inherited by Curiosity and Perseverance, making it easier to understand and change the software.

Some of the things that I wish we had now on [the Mars Science Laboratory] include a better understanding of where our power is going. I want to see how much power each component is drawing every minute, so that we could architect a software system that could balance loads better. We have some of this information that was built in by the engineers who designed the rover, but as an operator, I want something slightly different. So if I were building a mission, I would have those discussions earlier and get operators into the room to say, “what do you want your data products to look like?”

The key takeaway for designing future missions is to talk to all your users early in the design process. It needs to happen upfront.

What does Curiosity’s long-term future look like?

Holloway: That’s a conversation that happens, and it’s a really delicate one. We have a lot of science instruments, and a lot of them have to do with contact science and sampling and rely on the arm. If we lose the arm, what science can we still do? Well, we have a lot of remote sensors too, like cameras, environmental sensors, and radiation sensors. All of these things are important for the future of space exploration and humans on Mars.

From a power perspective, our RTG is projected to start degrading science output in the sixth extended mission, but we’re going to be fine through 2035 and potentially even beyond that. So we have a long and exciting future ahead of us. We need to figure out the best way of operating within our constraints, but we’re still kicking.