I searched for the paper about the monkey experiment a few years ago.
I came to the conclusion that it was false, myth.
Anybody got a trustworthy reference?
if we go back 450 million years ago we'd find giant fungi the size of large buildings.
i can't believe this paper didn't cover mycotronics.
also it fails to mention that mushrooms are natures chemists, given sufficient time the can be trained or bio-hacked to breakdown & digest almost anything. the 5th kingdom they are not plants! they emit co2 and consume oxygen.
myco-chitin is a ridiculously interesting in terms of it's tensile strength to weight ratio outperforming virtually all composites including kevlar. the chitin material is a dilectric and can be impregnated with wire strands or other conductive metals to make very interesting unparalleled e-fabrics out of myco-leather.
the "gap" is that mushrooms aren't farmed for aerospace applications, and most of what you find at a farmers market will be either small batch cultivated or more commonly discovered by humans (probably hippies) who spend time wandering through a large forest.
the reality is mushrooms are renewable resources, they can at scale compete effectively with cellulose, and everything you know about useful cellulose -- mushrooms are at least 100x better, but it's easier to cut down a tree than grow a mushroom the size of one.
also the mushrooms require a complex fabrication system and most of the processes we see today are proof of concept, very manual, lacking sufficient automation to compete with plastic & cellulose (so they appeal mostly for novelty, not value).
yes - i've got my own applications in development. no, i won't tell you.
WARNING: act is great if you use docker. Act does not support podman.
Issues or discussions related to providing support/coverage/compatibility/workarounds for podman are closed with a terse message. Unusual for an open source project.
Personally I've stopped using openscad recently (*in the last few years). I found it's lack of ability to create attachment/mate connectors significantly inhibited it's ability to compose complex objects. I looked into the amount of effort required to support attachments and ultimately decided that it was the wrong approach and have since migrated to Python & cadquery.
To be clear: Not looking for an LLM to give tax advice (very cringe!) .. although it might be entertaining.
Yes, I do have an expat focused CPA based in the US who ultimately calculates & e-files for me, and however she has a questionaire and still requires me to prepare a summary.
She doesn't correlation transactions to acocunt codes which tend to be very repetitive. In my case many recurring & usage charges on different cards, etc. that need to be categorized, summarized.
As a consultant I've designed and implemented several big data systems which use various ML OCR in workflows. I'm referring to the toil of converting statements from PDF & classifying the receipts.
I'm not especially worried about an LLM hallucinating because I can/could objectively check to make sure the math adds up.
If it gets a few categorized incorrectly then it's not the end of the world because mistakes happen -- even with humans.
I will still need to audit it at the end.
Even a system which could get 95% correct would potentially reduce my toil from a week+ of emotional pain to a few hours. I wager a model with a fresh context performing a single line item with examples would outperform a human.
This is not something I necessarily need to solve this year .. for now I'm going to have to pay taxes every year until I decide to renounce my US citizenship and that also requires liquidating retirement accounts etc. with severe penalties & horrible tax implications.
I'm not super old, so there is a range let's say 1-50+ years ahead of me (given my age, when I will die) so an effect of automation could be to add a week a year could potentially give me a net result of an entire year. It might also have ancillary benefits of reducing both stress and inflammation, lowering cortisol, etc.
Agree, calling it rtp is likely to cause confusion. Probably best to choose a four letter acronym. Assume all the good three letter ones have already been used.
Whoa, was checking the rust GPU examples out this morning, but didn't end up using it.
Needed to find a way to bicubic resize images fast on an embed Nvidia gpu.
Was looking at both llvm ptx & vulkan spir-v as a way to reduce dependency on Nvidia hardware. We ended up using npp with autogen c++ binding.
The rust GPU foundation is a great idea. Lots of interesting possibilities for rust devs.
Rust patterns, because it's advanced type checking (part of memory safety) makes a lot of functional tasks faster for embedded devs. It's also a dream to cross compile and deploy with (cargo(, several times faster and easier than c++.
You need fewer tests and less (often neglected) runtime error handling code because of the contract with the compiler.
I also love how I can write crates for python using pyo3 that data science team can use.
The article doesn't say explicitly these are high performance non rare earth magnets.
Niron uses synthetic tetrataenite (https://en.m.wikipedia.org/wiki/Tetrataenite) which is a fascinating material. Until a recent 2021 discovery it was believed that you could make it easily, but you'd need to let it cool slowly around 30,000 years! Only a few kg existed on earth from meteors.
But iron nitride Fe3N would also be a similarly good and less exotic choice.
Wondering if this approach could I found myself be applied to CFD (computational flow dynamics) methods to reduce the total volume of data points while still getting approximately close to the correct final answer?
My guess was also the ease of building safe extensions along with numerous vector and time series extensions, and it's recently improved replication capabilities.
This is how the us build pure cold war style "for military use only" tech. The money wasted reinventing the wheel by defense contractors is why Americans will never have affordable healthcare or sustainable social services.
China simply doesn't do that afaik, it's civilian and military tech isn't always developed independently.
Restated: China blurs the line between military and police state tech. It's tech is frequently multi purpose.
Drones, bipedal and quad petal robots, ai/ml applications etc. Are not 10-20 years old. They are running the latest risc-v cores.
China being "more socialist" really embraced open source, multi use, drtw. It could be many reasons.
I was surprised to discover one the boards an esp32-cam (xtensa core) purchased off aliexpress was originally designed to be used in ccp military/police surveillance applications. I don't know which came first, but the esp32-cam board is so extremely well suited for that specific military application that the entire design and layout of the board made sense to me.
Espressif a Shanghai based company now is making both xtensa and risc-v chips.
You might be working at a place with guilds.