condensedcrab

IANAL, but I suspect that the IP situation is similar to current uses, such as catalytic converters.

New tech and specific applications can be covered for commercialization, but the general "idea" of using MOFs for adsorption is broad enough that you'd probably only get into legal hot water if you tried to introduce a direct competitor to someone in the market.

Don’t cross the quantum and AI streams!!

On a more serious note, I’m not convinced that solving NISQ scaling with ML can overcome interconnect scaling. Interconnects are needed to make logical qubits, but introduce increased error rates.

Even with better hardware, the scaling problem remains hard. It’s like getting LLM agents thru complex agentic paths and the hard problem of decreasing error rates.

Most of the advice online about the engineering to managerial transition assume good faith from both sides…

Situations where that isn’t the case likely drive a high level of burn out and stress.

Even the Aptera, which is designed to be super lightweight, can only regen about 10% of the battery (40 mi vs. 400 mi total capacity) with rooftop solar (https://aptera.us/)

Good reminder with respect to the CAFE standards (rip) that sometimes engineering doesn't trend towards what is "good" with respect to SWaP-C but rather what games the current regulatory environment best.

Seemed much more possible 10 years ago… now I don’t think there’s any doubt about what EU leadership thinks.

The US is squandering its huge advantage in higher ed - every country has its top schools, but the US academic scene has so many top-tier schools/universities for research. Visa issues for international students have always been a pain - great talent for graduate schools, but with so many added shenanigans that were annoying at best and a major hurdle to next steps (postdoc, jobs, etc.) at worst.

Seems like instead of making it easier for smart and talented people to come to US, we are making it harder... cause terrorism?

Not beaver, but muskrat was historically was a Catholic loophole to get around abstinence from meat (and more likely due to food availability).

https://www.detroitcatholic.com/news/the-history-of-detroit-...

Very impressive! LiDAR and point clouds seem very promising, but the challenge of denoising point clouds and artifacts keep the skill bar very high/time intensive.

Depends if you want the engineer’s perspective or the device physics perspective.

I think the MOSFET circuit diagram has always made more sense to me because you can see intuitively see the “plunger” as the control input.

One can argue that the high level of unionization in the 1950s at around a third of the workforce help set an expectation for job compensation. Kind of a “herd-immunity” against low pay.

Maybe it’s not union jobs as you point out, but I agree that there’s a real cost of living crisis where minimum wage jobs are simply too far from a reasonable (not even comfortable) existence.

I agree with that last bit - sometimes you gotta drop the time associated with polish of a finished product and play around.

Always stuck with me that pretty much every famous piece of art has a long backlog of practice to get to that point.

The headline really should be Le Pen guilty of embezzlement, ineligible to run for public office for X years.

Seems like a reasonable policy we should adopt in the US…

I think you’ll find that the cost to train pilots is also substantial. Mostly pilots have 100-1000s of hours to be “combat ready” at many $1000s/flight hr. Google says around $10M for F-35 pilot.

Better to follow protocol and eject. The link is a story where a good pilot followed protocol but still got screwed over.

Yeah, the context that comes to mind are basic class methods or simple data cleaning functions for messing with numpy/pandas data

I’ve found it very helpful to write out the boilerplate to allow you to write the few lines needed to do what you conceptually want to do.

Also great with figuring a regex pattern in 5-10s instead of getting derailed by SO or Google search.

You can’t exactly take the physics out of quantum computing… otherwise you’re just left with linear algebra with a certain set of axioms.

Physics is full of examples of math informed by physical phenomena. There are some good QM/quantum optics books that heavily lean on the linear algebra.

Quantum optics experiments are probably the most accessible for garage hobbyists but it’s still a ~$k hobby once you start buying lasers, electronics and optics.

Usually cavity mirrors would be somewhat sealed to prevent dust/junk build up.

Problem with general purpose spectroscopic measurements is that you need a broadband source and detector. This adds complexity compared to a targeted wavelength range.

I think that the main issue with research in experimental fields in academia is still the throughput issue of running experiments.

Most grad students and professors can cook up reasonable hypotheses, but someone still has to run all of the experiments. The phase space is generally too wide to explore all research directions so human intuition is still needed to figure out what will pan out so the students are fed and the next grant comes in.

Also need to note the need for radiation hardening for all electronics.

Plus the ping to the moon would be miserable…

The scaling laws for fusion follow a power law for size and magnetic field (see https://physics.stackexchange.com/questions/175830/nuclear-f...), which allow for better break even for commercial applications for larger fusion reactors like ITER. All of the smaller fusion reactors proposed need to use high Tc superconducting wire to generator higher magnetic fields for smaller reactors.