Hacker News new | past | comments | ask | show | jobs | submit | gone35's comments login

Try subscribing to any of them but from a new address, without signing up for Substack.

Then, to replicate the evidence for the shadow profile, try unsubscribe from any of them from a signed-out session. The unsubscribe page may show a shadow profile with the new address then.


Very good yes. Such is my experience, not only with Latin. Received language instruction may have it exactly backwards.


I disagree. I found the review useful.


"How will writers (or anyone else who creates anything that can be digitized, from movies to music to apps to journalism) make a living in an era in which digital content can be freely replicated?"



> music

Musicians who made a living selling records were always unicorns. Even the Beatles wandered in the desert for years before they were discovered.

> writers

More unicorns. etc.


Tour de force, truly. Amazing work!


This is a fundamental observation:

"Prompt injection occurs because an LLM cannot distinguish between the “system prompt” created by a developer and the rest of the context that is appended to the query."


Important caveat — from the abstract: "For both weather and climate, our approach offers orders of magnitude computational savings over conventional GCMs, although our model does not extrapolate to substantially different future climates."


Key quote:

"The miracle of Ingenuity is that all of these commercially bought, off-the-shelf components worked. Radiation didn't fry the Qualcomm computer. The brutal thermal cycles didn't destroy the battery's storage capacity. Likewise, the avionics, sensors, and cameras all survived despite not being procured with spaceflight-rated mandates."


I assume that, despite their lack of design pedigree, JPL still thoroughly tested all these components and discarded many that didn't make the cut.


That’s gotta hurt the radsafe equipment manufacturers


Somewhat, it will definitely tip the needle for those who are on the fence about their risk posture with radiation. But the surface of Mars is by no means the worst radiation environment. For overall dose levels, the surface of Mars is about 2.5x worse than being on the ISS [0], which is in general a very low radiation environment.

If you look at slide 15 of this presentation [1] "TID (Total Ionizing Dose) Mitigation", the ISS would be in the "LEO-LOW" category on the curve. When you start looking at the MEO and GEO orbits you have to start contending with the trapped proton and electrons of the radiation belts. Not a whole lot in MEO outside of the various GNSS constellations, but tons of things in GEO that still have doses that are orders of magnitude more.

[0] https://mepag.jpl.nasa.gov/topten.cfm?topten=10#:~:text=Mars....

[1] https://www.osti.gov/servlets/purl/1524958

Edit: Also worth noting that the radiation environment for Single Event Effects (SEE) is going to be comparatively worse than the total dose when compared to the ISS. SEE are cause by individual high energy particles. This will be worse on Mars due to the lack of magnetic field. So from that perspective it is quite a bit worse. However, if you go look at my other comments in this thread you can see that they specifically did SEE testing and not TID testing on the Qualcomm chips.


For what it is worth I am confident Sony camera modules can handle about 24-48 hours in the typical boiling water reactor for visual inspections. We had to replace them constantly. Near the fuel band it looked like Mardi gras with all the radio caused static.

Does anyone know what type of camera they used on the rovers.


Maybe, maybe not.. human-rated equipment will (almost certainly) always be held to a higher standard than autonomous drones/rovers.


I'm hoping their market will stay the same or grow as more space missions with human pilots/cargo take place in the future, but I'm thrilled about the possibility of many more 'cheap and cheerful' automated missions running on cheap hardware. Think of all the possibilities that open up if you can deploy 50 little rovers, accepting the fact that you'll lose 10 or 15.


Unrelated but see also 'stress' by Amos Waterland, an excellent workload generator to impose CPU, memory, I/O or disk stress on POSIX systems and report any errors that come up [1,2]. The tool unfortunately hasn't been maintained for some time, but it's being resurrected [2].

[1] https://web.archive.org/web/20190307133628/http://people.sea...

[2] https://github.com/resurrecting-open-source-projects/stress



Join us for AI Startup School this June 16-17 in San Francisco!

Guidelines | FAQ | Lists | API | Security | Legal | Apply to YC | Contact

Search: