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IronyMan100

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Location: Germany NRW

Remote: yes

Willing to relocate:to the Rhein Main Area

Technologies: Nanophotonics, metasurfaces, EM Simulations, Python, Matlab, Cleanroom Operations and Tools for Photonic integrated circuits

CV: on request

Mail: bernhard256@hotmail.de

IMHO, it's a people Thing. People developed better practices, talked about IT in conferences, maybe left the company. AS a result the knowlegde spread. On the other Hand, If the places where a skilled individual can work and honey their skills, the knowlegde become scarce, the knowlegde cannot spread anymore and it will vanish. If you only program with AI and 5 people do the Work of 100, then you end Up in such a scenario.

So If Amazon wante to be the lowest price Destination, but Takes fees for Listings, FBA etc, then the product price needs to include that fees. That will make the product more expensive and since amazon wanted to be the cheapest Destination, the price does need to gonup everywhere? It's maybe the Fairest Thing, but is it good for the Overall Economy?

Normally in this kind of systems, the detection is the nonlinearity. That is, you send light through the system, the light can interfere, Changes path through the system but in the end you can detect only the intensities, |E|^2.

This Has it's use. The continouus Fourier Transform is is based on that. You are asking what frequencies is this continouus signal made of. Time is normally defined as a real number in that context, but If you have a continouus time you need continouus frequencies to map time space to frequency space. You can think about an Index as a lego Block, that you need to construct Something.

Does this Not make sense? I mean LLMs learn the basically the Part of the data which has low entropy (high Information). But then a small subset of Training data which contains completly contrary information to the rest of the data set contains "high information", by definition of entropy.

"These findings suggest that R&D has become more effective at finding productivity-enhancing ideas, but these ideas may also render rivals’ technologies obsolete, making innovations more transient. Because of obsolescence, rising R&D does not necessarily mean rising aggregate productivity growth."

I Don't Unserstand that. Innovative should increase productivity. If i deploy a new technology i should see productivity gains. Does that Not mean we see should se productivity gains regardless of how fast a technology becomes obsolete? Maybe technologies do not get adopted that fast or the productivity gains do not justify the Investment?

Honestly, i'm tired of Hearing this. I am a Scientist and i work in science. On HN i feel a breeze of Anti-science sentiments which are only dwarfed by the Anti-Vax Community. I Don't Like my Profession being called a fraud, i also do not call a programmer, a Typewriter Monkies.

There ideas in how to get better. -People start talking about pre-register studies, where the study design is evaluated independent of the results. -Some years ago Nature was thightening the acceptance criteria for articles about new laser principles. - in the field of metasurfaces there are more and more articles in how to assess the performance of flat optics and calling Out Problems with the Status quo. Honestly, i Don't See your point. Is the progress maybe slow... Yes. But changes are Happening. It's also in the best interest of Academia. You don't want to build Up your career (~5-30 years)on someone else fraudulent.

you should not trust science. I mean look where the article is published. It's not Vox nor The New York Times, etc. It's in Science, one of the most reputable journals in the world. So the community of scientist is aware of the problem and in the end science is self-correcting. It's just a slow process. Science advances one funreal at a time.

No, probably Not. Nobody is reading these Journals anyway. It's only good one resumes. i think even 3a is Not a problem because fake papers will follow a specific pattern in Meta Analysis. Should be catched in one of the "filter" stages during Meta Analysis.

I had the same impression when buying clothes. I often buy the Shirts Form H&M. I have some old Shirts and the quality IS a Lot better. No loose Threads, the colors did Not wash out for and after washing they stayed how they are. Today all of that is not the Case anymore.

the Maxwell Equations are linear in the electric and magnetic fields, then you can add Up and subtract fields and Potentials from each other. It's the same Argument for why interfernce works or optical gratings

The Idea of a staff Scientist is to Help with writing proposals, teaching and doing Research. It's also the only way of conserving the tacit knowledge of the Research group. Your PhD Student and Postdocs are gone after 3-6 years, and often enough the knowledge generated in this time is leaving with them. You are Not sitting around and writing Up your thoughts.

AS a Scientist with experience with lasers: everything that is strong enough to destroy a camera Sensor is strong enough to Hurt your eye. The Thing is: this wavelength may Not damage the Retina, but IT can "destroy" parts of your cornea or lens. Basically your cornea or lens can get hazy.

The new iphone uses a metasurface for structured light illumination: https://www.yolegroup.com/technology-outlook/metasurfaces-br...

What people forget is that new hardware technologies can take decades before they are used in commercial products. Quantum Dots were first synthesized in 1981 and are only in commercial stuff since the 2010th. Teflon: Invented in 1938- first commercial use in 1961. Semiconductors: Found in 1898, first commercial uses in 1958.