Not sure I agree with all the "humans are superior, therefore x" logic. Yes they are superior except I think in being able to read tons of code without your eyeballs shriveling up. I think AI can figure out authorial intent pretty well in that situation. Also, since we now have to write much more detailed specs in order to get AI to build things to any reasonable level of quality, there are a lot more readme and technical design files in markdown nearby. If those could just be deployed it would be great. In my system you cannot deploy them, so the code goes one place and the documentation goes in to a black hole or stays on the vendor's system.

tldr; righteous fool commits a crime, injecting data deletion code into people's workflows.
Then a raft of people on slashdot defend him. WTF?
No, it is not an elegant reversi slam that turns people's tools against them without consequence.
It's a criminal subversion of machinery.
Maybe the guy is sick of AI slop but crimes are not the answer.
Not incidentally, the etymology of the word "sabotage" is to willfully perform slow, clumsy, bungling work (like walking in clogs noisily, clumsily). Once the tech becomes useful enough (as AI is already in many cases), saboteurs will be the people who try to reduce everyone's potential efficiencies so they run as slowly as bunglers like them. Between now and then, they just have a finger in the dike.

I'm sure you're familiar with the countdown protocol, all the pre-flight checks, etc. These power up a range of subsystems, motors, etc, so that everything can be verified prior to ignition itself. The complete sequence takes a very long time. Under normal flight conditions, you can't check for absolutely everything (instrumentation is mass, and mass is the enemy) but there's still a lot. However, during an engine test, you can pack a lot more sensors in.

This is where you'd want to be spotting loose connections, pumps that aren't quite even, pressures that aren't as steady as they should be, vibrations that shouldn't be there or do not match expectations, turbulent flows, and so on.

At ignition, it takes between 3-6 seconds to go from stopped to 90% thrust. For humans, that's near-instant. For a computer sensor that's operating a million samples per second, that's 3-6 million readings. A computer performing a billion calculations per second shouldn't have much difficulty in comparing 3 million readings against model predictions and determining if both the values themselves and the rate of change at each point such a sensor exists are all good. Emergency shutdowns during those first 3 seconds are perfectly viable.

Vibrations are the ones that are likely the most interesting, because those are likely to change before something breaks, not sure how fast you can make infrared sensors, but that's also an area where things are likely to alter before point of failure.

Lazy, yes. Bright, no. If you can't trust the average person to figure out that bread that's loaded with salt and sugar isn't healthy, then you can't trust the average person to figure out what a healthy balanced meal is.

The evolutionary pattern was created because food was unreliable and energy demands were unpredictable - but high, due to the large brain. (Possibly larger than it is today, but there seems to be conflicting data there.)

Now, rationing extreme energy foods is certainly one option, but it's not a particularly satisfactory one as the energy demands vary by profession and by time within a profession. You simply can't predict what people will need and there's no way to standardise this.

There is a second option. Intense focus is impossible for beyond about 45-90 minutes at a stretch, or for more than 3-5 hours in a day. Meetings degrade intelligence, according to psychological research, so you want to minimise those. After about 7 hours, work will mostly have negative value. If you increase the amount of high physical activity for at least an hour a day (and potentially longer if the amount of soft work is minimal in the job) then you will improve physical fitness and general health, without having to substantially alter diet. However, that still only gets you so far, because a poor diet still impacts physical and mental health, and can lead to brain decline. (It's a big factor in poor brain health in children in schools.)

A third option, then, is to actually improve meal quality in schools and for workplaces to work with the food industry to provide cheaper/easier access to high quality foods that actually taste good, not merely sensible energy foods. This would seem to be target solution, with in-work exercise to supplement it.

If that turns out to be the case, we get to find out something about what reshaping the brain means.

Whilst that is perfectly true, it is questionable as to whether it is useful or necessary. If a rocket is being tested, then logically it should be heavily instrumented. If it's heavily instrumented, and the instruments are themselves competently designed, there is no obvious reason why the engine can't be auto-cut when problems start to arise. And they will have arisen long long before the explosion.

The values may have independently been "within permitted range", but if the pattern of those values doesn't make sense, then something has gone wrong. There may well also have been subsystems that were insufficiently instrumented.

"They're the experts" is often an irrelevancy - we lost TWO shuttles and crews to political decisions, when the experts on the ground were ignored. DeHavilland lost endless Comets to basically the same blunder, when political decisions by management over the reality of metal fatigue overrode analysis by actual experts. Improper monitoring and inadequate computer controls will be from a burden of costs and time (both political constraints, not engineering constraints). As, indeed, will improperly manufactured parts, improper software (anyone rememebr Arianne IV's mishap due to buggy software?), improperly-defined constraints, and inadequate quality controls.

The experts are usually either well aware of mistakes or afforded no means of detecting them.

I see no reason not to think this was anything other than a management blunder.

why not due a test run using robots to build a base by a volcano, or in the antarctic?

If you're willing to settle for only $30 million, that should be enough to obtain a birth certificate and proof of residency in some remote village.

He told his Ferengi superior that he could keep the latinum.

This raises a very important question. If the CIA are taking shortcuts and making assumptions about anything, we should not be making assumptions ourselves that the CIA aren't doing the same elsewhere. I am, however, still waiting for biolabs and WMDs to turn up in Iraq - something for which they appear to have ALSO taken one person's unsupported word for. They also ratted out their own officers in retaliation for questioning the existence of "yellowcake" (that turned out not to exist).

I'd be wary of claiming there was a pattern, but... They do seem awfully incompetent.

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.

tldr. Sounds ironic for a disconnected CEO to be told to use more AI, but on the other hand if he/she feels unable to talk to anyone else in the company then an AI actually might tell them more about their own company and AI, and urge them to talk to people, assuming it is not in a sycophantic loop. This assumes that the CEO is fair dealing. Opus might refuse to help figure out ways to use AI to justify short-term cuts/profits and other deviltry but OpenAI might happily agree..

Agreed. Deliberate adding of surface roughness (and even multiple surfaces) have been used in racing yachts for many decades. I think they started doing this in the 90s.

In unemployment figures don't show actual unemployment, but deliberately excludes groups for the purpose of keeping the figure low (and the UK was very explicit that this was the purpose when Thatcher's government sliced several million off the official figures, less sure if the US was as honest) then it's hard to call it anything else.