It's worth noting that nuclear reactors don't really explode in the way people think of. What they can do is turn into radioactive lava, melt through the floor, and release the highly carcinogenic dust from their system into the environment. They're generally big water heaters without pressure release valves (because the water has the carcinogenic dust in it), so they can burst like any water heater, and they contain zirconium, which reacts with steam at high temperatures to release hydrogen gas, which can make fireballs, but the accident risk is much less about a shock wave destroying the site than airborne radioactive particles getting out. And, even if the reactor design is incapable of producing enough heat to damage itself without first shutting down, you still have to worry about whether the site is safe enough from external damage. The traditional thick concrete walls are as much about keeping runaway trucks out as keeping steam explosions in.

It sounds to me like the input to the algorithm is truly random, but not unbiased, and the algorithm perfectly unbiases output from the particular source they are using. The rest of the article goes into the type of flaw they're addressing, and talks about very slightly unfair dice, which you could correct, but you'd need to know exactly how unfair they are, and you're always going to be very slightly wrong and end up correcting not quite perfectly. The obvious quantum RNG is to generate polarized light and measure it perpendicular to the polarization, but you'd still need to get it perfectly perpendicular. It sounds like they've built something that doesn't rely on precise alignment to give a known distribution, which they can then use to unbias the output perfectly.

It's pretty close to being an MP3 marked as a BMP, actually. It's the result of taking a reversable transformation of the audio signal that separates out the different perceptible components and then discarding the ones that matter least, and keeping the important ones in a convenient form for accessing them. It's the first step you'd take if you wanted a computer to identify speakers or what they were saying. The only part that's image-related is making the diagram, but getting back to the data is just taking the pixel values.

I suspect that they started using spectrograms in reports at a time when getting back the data from the image would have lost too much quality to printing and scanning to hear anything as quiet as voices, but PDFs with lossless images retain all of that.

I suspect part of it is that the mitigation for DirtyFrag covers it, so everyone who blocked all the modules in question when that had only an incomplete patch probably hasn't unblocked them yet. I think this is the 4th patch for these modules, and only got a new name rather than just "there's still a way to get this code to do the wrong thing" because a different outside team found this one.

Yeah, and the person who released the information first was operating in an "if I noticed this, doing only as much as I'm doing, surely attackers would also notice" mode. Possibly some patches these days are sufficiently obvious as to their correctness and also effect that they should first become public as a set of stable releases. This was a kind of special case, as CopyFail was the combination of some code doing something strange with one user not being prepared for it, and fixed the user. If there are other users that also aren't prepared, fixing them isn't going to be subtle.

How shadows and reflections move when you're 10 milies from a mostly flat surface a thousand miles across is legitimately hard to analyze for a visual system that evolved on the ground, especially if you throw in small periodic surface orientation variations. Given how complicated it is to explain rare rainbow-related phenomena like sun dogs, it would be surprising if we'd identified and explained everything that can appear when flying above the ocean.

While you're at it, you also need to block installing esp4, esp6, and rxrpc, for, y'know, reasons.

According to the article, they (by way of their cloud provider) had DR backups, which they were able to get restored. But getting offline backups restored takes longer than the SLAs they give their customers and loses some data that hasn't been copied offline yet, which is why they also have backups that are complete and immediately available, using the API key that the attacker -- sorry, AI -- found in a file it wasn't supposed to have access to.

Verizon's 2 Gbps Fios home service doesn't support IPv6, due apparently to them picking hardware for this particular service that doesn't handle it. Their other service does handle it, including slower home Fios, but not that in particular.

It uses VRTX, reportedly. Linux wasn't suitable as a real-time OS when the Hubble was designed, or really even when the Hubble got the 486 installed in 2009.

The LitleLLM packages were comprimosed on Tuesday. The packages compromised today were telnyx 4.87.1 and 4.87.2. It's the same root cause: credentials exposed to a compromised version of Trivy earlier were used to make an unauthorized release of a compromised version of a different package.

> You can't fix it by "not letting stupid people breed", you have to fix it through not letting people become stupid

This sentence seems to be somewhat self contradictory. Despite decades of trying to make it not so, it seems that intelligence remains primarily inherited from parents/ancestors.

Socioeconomic status, education, opportunities, etc all have no ability to improve iq. Nutrition only matters in the sense of malnutrition. So environmental factors can reduce IQ, but they cant do anything to raise it.

Attempting to "fix" it, which we have been doing in the first world for a while now, seems to be causing average intelligence to drop precipitously. the peak IQ in most nations is now firmly in the past 30-70 years back. I think we just have to give up on the idea that this is something to "fix" per se, and let people make their own choices as individuals.

> The most important part which is wrong however is the idea that people who never contributed much would easily find economically equivalent work.

There is a name for that opinion: luddism.

Every single new technology shifts jobs and work, and every single time people fantasize about permanent structural unemployment, and every single time people just move into new types of work and there is no such thing as structural unemployment. Luddites back then could never imagine a world where less than 95% of people worked in agriculture, and today's neo luddites cant imagine a world without hordes of graphic artists, paralegal functionaries, music techs, and such, but its coming regardless.

Fundamentally, what people are willing to pay for always comes down to work done by others. Things that are automated, at best, shape how people work, and what work attracts more or less pay. Just as a shovel helps you to dig, a DNN helps you slop out boilerplate text with errors, so you dont need to pay as many people to do it.

These two fundamentals never change when a new tool or technology is used

* some people get more productive to some degree using the new tools
* That frees up labor to do new things, and the economy as a whole grows, because the new things have value

Its possible there will be a growing field of content curation; The DNN's & LLM's basically explode when their outputs are fed back their inputs. So instead of making tons of derivative works de novo, many creative types will instead become art critics; helping to curate an input set to train the machines that synthesize generated works.

paying taxes is also negative growth, so that part doesnt even matter.

The reason for "AI" causing zero gain is because its not "AI"; its not people, its not independent economic actors with agencies.

The name "AI" is nothing but a marketing gimmick, a lie.

What we have are just tools; helpers. And like any tool, the best they can be is productivity enhancers for people. But what these tools excel at is mostly economically unimportant work; shoddy art, boilerplate text, remixed music. So they make something with nearly no impact require fewer people.

Even if every single B-grade graphic artist, musician, and every contract and legal functionary gets put out of work by these babble generators, no real economic impact would be felt because those fields never contributed much, so the people freed from such work would quickly find economically equivalent work of any kind.

If there is to be any gain from the whole overinvestment bubble, it will be improved search engine answers. Like today, they will still be questionable, full of random errors, and politically slanted by the local jurisdiction. But they will be slightly better for what they are.Just like with search engines, people who are adept at prompting queries and filtering through the results will be slightly more productive than people who are not.

But it will take an awful long time for their meagre gain to measurably exceed the insane overinvestment lost in "AI".

If hardware doesnt run linux super well, the hardware is garbage. Simple as.