tempay

I assume OP interpreted it as encryption that hides the prompts from OpenAI rather than OpenAI hiding information from users.

Maybe not that bad, stopping the accelerator means the storage requirements drop now that data is no longer being taken. Storage is instead just used for simulation and reprocessing which is small in comparision.

So long as the market recovers before HL-LHC starts and the data volume increases it'll be okay. If it doesn't...

No they're not. At CERN physics data is on:

* CTA for tape storage: https://cta.docs.cern.ch/v5/

* EOS for disk storage: https://eos-web.web.cern.ch/eos-web/

There is a large CEPH cluster as well but that isn't really used for physics data.

This is very real, but such CVEs are such a tiny fraction in relation to denial-of-service-due-to-regex that it’s hard to take the system seriously.

So far as I’m concerned the solution is to isolate everything as much as possible. I’d love to see something on the CVE classification side to also address the signal to noise problem but I don’t see it happening.

The key point here is the “pay less” part. I know people that have turned down offers from meta that would 5x their salary and their personal situation would notably improve from at least some of that extra cash.

The OP is a bit preachy and maybe some employees really don’t have any other options even with accepting lower salaries, but the majority should at least realise the golden handcuffs their bound by even if they choose not to act on them.

For anyone who thinks this might matter for security:

* curl is mature enough that the chance of an impactful bug is basically zero * if there is such a bug, I'm sure someone will figure out how to get in touch with Daniel and co * if there is such a bug, it's more important that it gets patched in package managers and rolled out. Upstream releases can wait.

To be fair, the entire problem space sucks and I’m not sure it’s possible not to.

consuner spending is increasingly debt

Geneva has the highest minimum wage in the world precisely to try and avoid the "working poor".

Also the "consuner spending is increasingly debt" is very US centric view. The situation in Europe is less extreme and totally absent in many countries.

in very center, almost every small park or green spot is now 6 story concrete building

I struggle to see this. Central Geneva is full of beautiful, well-maintained green spaces and children's play areas with plenty of larger parks scattered around.

I can't comment outside of Geneva but it's hardly "slave wages":

* https://www.mission-geneve.dfae.admin.ch/en/manual-labour-mi...

* (scroll to the cost breakdown) https://batmaid.ch/en/about-us

In 1910 the foreign-born population was 14.7% and the drop around WWII was caused by other factors.

Much of the industrialisation and banking industry was driven by immigrants. Arguably the wealth of today is the product of managing to avoid the worst of WWII and profiting from Switzerland's "neutrality" but that's an entire conversation by itself.

As with everything it's complicated but it's more true than not:

https://nccr-onthemove.ch/indicators/how-qualified-are-migra...

More importantly, education isn't everything. Half the economy runs on work that doesn't need higher education and that locals largely won't do: cleaning, care, hospitality, construction. The Spanish and Portuguese speaking workers doing those jobs are propping up a standard of living for everyone.

It's not impossible, but Switzerland's geography means tunneling is involved in adding capacity which makes it very expensive. Also the beautiful synchronisation of a country-wide integrated timetable where you can reliably get between any two places in the country with connections that always make sense is a point of national pride.

Japan, Taiwan and China all added dedicated infrastructure which took a long time and cost a fortune (vs the shared tracks currently used for intercity/regional/European freight). Tokyo accepts famously absurd levels of overcrowding during peak hours. Deutsche Bahn in Germany is widely thought of a joke due to chronic underinvestment meaning on-time trains are surprising.

That said, these technical concerns have nothing to do with the 10 million proposal. It's worth asking why a camp that spent decades opposing sustainability legislation has suddenly discovered the word now that it can be pointed at immigration.

It's not simple with the "clock-face scheduling" system which is used which times the trains to all meet at the big nodes (Zürich, Bern, Basel) so connections work. To achieve this trains are supposed to fit into 30/60/120 minute beats which synchronise the entire system. See [1,2] for how this works.

Also many of the most important parts of the system are at capacity. Bigger trains can help but a lot of these gains have already been realised in the crowded areas. The current hope is digitalising signaling to allow density to be increased but that's not simple/cheap even if it's cheaper than working on the lines themselves.

[1] https://en.wikipedia.org/wiki/Clock-face_scheduling

[2] https://www.youtube.com/watch?v=OMbV1rIPhCg

In early 2023, I was debugging an issue in a long abandoned package that used OpenSSL and needed to be fixed for OpenSSL 3. The entire thing was a mess and the parts of OpenSSL it was using are almost entirely undocumented.

Copying a pasting into a ChatGPT window gave me the lines of code to print the error message rather than failing silently. Copying the error message then gave me a detailed explanation of problem and the diff to fix it. I still have no idea where this knowledge came from as I spent a decent amount of time searching and found nothing about this corner of OpenSSL.

I’m very confident it would have taken me a week to make sense of what the package was trying to do and with LLMs it was done in a couple of hours.

Though 5PB of data is freely available via https://opendata.cern.ch/

With another 4PB available which can be processed on request to extract samples of interest: https://opendata.cern.ch/docs/lhcb-releases-service-to-acces...

As far as I know nobody has ever tried to read one ;)

The abstraction isn’t really a thing any more. It was a nice idea but in practice it’s an operational nightmare not knowing if data is available and for how long it will be. For reference staging can take days during intense activity and you don’t want to loose performance randomly seeking around and switching between tapes.

Latin and Greek aren’t one of the working languages at CERN (French and English are)

See this conference talk from last week: https://indico.cern.ch/event/1471803/contributions/6967379/

There isn’t a recording but slides at linked from that page.

It’s also French for Beaver which is more likely the origin of the name.

I’m a little confused by this submission. CASTOR is the old system that has since been replaced by the CERN Tape Array since ~2020: https://cta.web.cern.ch/cta/

This is mentioned on the page but it’s easy to miss.

For the current status of tape storage at CERN see: https://indico.cern.ch/event/1471803/contributions/6967379/a...

For reference, most disk storage for physics data uses an in-house solution called EOS: https://eos-web.web.cern.ch/eos-web/

You can seed the randomness are still having nonzero temperature.

Numerical instability can introduce randomness especially on GPU like hardware unless you’re very careful about how you write your algorithms.

It doesn't matter if the length changes provided:

* you measure the round trip time often enough

* the shift affects light in both directions equally

Conventional wisdom is that distributed consensus is not possible at this kind of performance

I'm not sure why you would think that? If you can assume the fiber is the same in both directions you know the round trip time is exactly double the latency of the connection. Then you know to phase shift your start time by that much when you get a start signal and you're in sync.

Obviously it's not trivial in practice, but it's not a fundamentally insurmountable problem.

Everything there is extremely speculative and I don't see anything that contradicts that inference itself could be profitable at massive scale. See https://youtu.be/xmkSf5IS-zw for example.

If the companies as a whole are destined to be profitable, or worth their valuations is a very different question. The only people who can truely answer that have time machines.

It helps make it difficult to do scalping at scale. They can't reliably sell seats next to people. Always having to pay people their cut to use their name means the refund mechanism is still costly to the scalper.

It doesn't have to be perfect to be effective.

Are they? I only ever see unsubstantiated claims for this whereas I see many justifications that interference is comfortably profitable in isolation.

Personally I have over a hundred, especially from quick prototypes, studies or instances of templates so I can easily see how over 18 years and many hundreds of employees you end up with thousands.

Fusion also came to my mind but after thinking about it for longer I think it's a bad argument. The challenge with fusion is mostly around scale and efficiency to make it competitive against other energy sources (and net energy positive in the first place).

For CRQC it doesn't matter if they're massive expensive energy monsters. Even being able to break a single chosen key is enough to be a problem and once you can do one you can definitely do ten or a hundred.