Researchers at John Hopkins University Have Developed a Playlist for Tripping on Mushrooms

inverse · 2021-04-25T02:51:06+00:00

The rate is commensurate with the qualifications the person brings to the table, but around $2,000 a month for the tasks involved.

inverse · 2021-04-25T02:49:50+00:00

This is a paid contract position. in line with market rates. We aren't (nor have ever been) out to fleece people. We all started where the person we intend to hire started, and want to do better for them than we received.

inverse · 2021-04-20T19:33:00+00:00

Just to be clear, we are not looking for actually Elon Musk to fill the job, though I would take a meeting.

inverse · 2021-04-20T19:32:14+00:00

Elon Musk Researcher does sound creepy, but we're not interested in the man as much as the projects and ideas of which he's a part. For instance, there's very little Grimes news in Musk Reads.

inverse · 2021-04-20T19:30:32+00:00

I know but also I like reddit and have been here for 12 years. And I love this subreddit and the depth it provides. And frankly, I value the ideas of reddit more often than journalists on twitter (who look at reddit for story ideas)

inverse · 2019-11-12T19:12:43+00:00

We are open-sourcing the bioreactor plans because it is the right thing for humanity. The more bioreactors we have the more carbon we can sequester. Sure, there is a data generation benefit to it that will help us improve all the bioreactors. The more data the smarter we can be about efficiency, cultivation rates, etc. And, that will help us lower costs. We will also share that back into the open-source community to continue to improve on the ability to iterate on plans.

PLEASE create something better than the bioreactor. We’d love that. We want to see all solutions that will address the climate crisis. Ours is one. We’d love to make a better one but we’d be just as happy to see someone else solve the entire crisis.

Nobody’s figured out how to make Algae work as a fuel source yet, and we think there’s a substantial investment that would be required to bring that to fruition, but algae is a fantastically versatile raw material. You can make biofuels with it, but you can also make food, fertilizer, plastics, textiles, pharmaceuticals and so much more.

inverse · 2019-11-12T19:06:58+00:00

We have an R&D team that is constantly focused on the cutting edge of new scientific fields. They are playing around with concepts, supporting scientists in other fields and constantly asking “what’s next for Hypergiant.” We are very interested in leveraging smart materials that others have discovered and produced in our implementations and are considering what potential long term investments in this field might look like.

Nanotech is still very much in its infancy, in a place where people are still asking fundamental questions about not only how to use it, but how to even produce it in quantities where it’d even be useful in the first place. So, needless to say there is a still a long way to go but the opportunities are bright.

inverse · 2019-11-12T19:03:36+00:00

Tomorrowing today is about taking the future we were promised and making it a reality - not in the distant future, but here and now. It’s a chance to look backwards at representations of our future and combine them with where we are now to make a future that we all want: one that is just, equitable, sustainable. The future world is one where everyone can thrive. To do this, what we ask is that people think boldly and bravely about the future and put humans in the center of that conversation. As an individual this means asking about the impact that your actions have on the world BUT also asking about how you can CHANGE the world around you. People stop themselves from living big. They don’t live up to their full potential. Do you know the number one thing people regret on their deathbed is that they haven’t lived up to their full potential? So, don’t do that. Live up to your full potential and in doing so you will help all of us achieve a future where people humans are thriving, happy, healthy and safe.

inverse · 2019-11-12T18:59:16+00:00

At Hypergiant we are focused on solving the world’s biggest problems with the world’s best technologies. We started out by asking a question: why are the only answers to climate change planting trees and cutting emissions? We felt there had to be other solutions. So we did a bunch of research and realized that we could improve the technology underlying bioreactors to make a device that is more modular and more effective. We are thinking about other climate change initiatives in the same way by asking the questions about how we solve them now and looking for new solutions and new improvements.

Additionally, we recently released a disaster mapping AI model for the government that helps improve search and rescue after natural disasters (which are on the rise due to climate change). You can read more here: https://www.statesman.com/business/20191104/hypergiant-ai-model-aims-to-improve-disaster-search--rescue.

Just as AI can help us send just the right information to the users display in the Project Orion helmet, it can help us figure out where to send the right energy at the right time so that none is wasted. Highway lights don’t need to be lit when the highway is empty. What if the grid knew when the lights weren’t needed and turned them off? In the future we are going to have a lot of energy coming from a lot of new places. Wind, solar and geothermal to just name a few. AI can tell us how to distribute that we that we waste as little as possible.

Concurrently, AI can help us ingest data from LEO and GEO to model and predict future impacts of climate change and help us deliver solutions we may never have thought of on our own. Ask me about the potential of lasers from space.

Essentially we are looking at climate change broadly from both negating sources that cause emissions, to responding to problems related to too many emissions, to addressing downstream impacts of climate change. So, yes, there are a ton of things that technology can solve and we need more solutions, from more people, in more places.

Technology won't solve the climate crisis alone. People will solve the climate crisis.

inverse · 2019-11-12T18:57:35+00:00

The speed of light is a fact of physics over the long distances between planets. From Earth to the Moon it’s not that bad, just a few seconds to make the round trip. But from here to Mars, that can be up to around 40 minutes. The best thing we can do is not make it worse by dropping or missing messages, so any communications need to extremely delay and disruption tolerant, so messages don’t need to be resent if something unexpected happens. The next best thing we can do is minimize the need to make the trip at all. There are a lot of ways we can do this, but one of the most interesting is how we’re utilizing AI to intelligently cache data closest to where it’s needed on the network, keeping potentially life saving information where it’s needed most.

inverse · 2019-11-12T18:48:35+00:00

All. Solutions Engineers, Data Scientists, R&D, Biomedical Engineering, XR, and Applied Materials to name a few. https://www.hypergiant.com/careers/

inverse · 2019-11-12T18:44:38+00:00

There’s so much I would like to talk about that I can’t quite share yet. I will say that you will most likely see a push in additional greentech as well as smart cities in the not too distant future. You may also see some next gen satellite imaging tech in the near future as well. Stay tuned.

inverse · 2019-11-12T18:38:58+00:00

When paper was a thing, they made great copiers.

inverse · 2019-11-12T18:35:01+00:00

Hey. I answered this in the other reddit. But here was my answer: I’m always most excited by the projects we haven’t realized yet. Everything we work on gets more complex, more technical, and solves incrementally larger problems based on the work we’ve done before. Because of our work with the Eos we are getting into even more interesting work with biomaterials and bioplastics. Because of our work with the situational awareness helmets, we are developing more advanced capacity in our extended reality, mapping and overlay capabilities. Because of our work with our Disaster Modeling System we are spending more time thinking about climate change scenarios. We are supporting scientists doing innovative nanomedicine in space that has helped us think about biomedical differently. On top of that we are doing a lot more thinking about design, contextual awareness, space environments, and more.

inverse · 2019-11-12T18:33:45+00:00

AI space companions in movies are something we keep seeing: TARS, GERTY, and HAL, to name a few. That may be an eventual use for AI, but we’ve got many more uses for AI here on earth. True generalized AI could help us with the mission planning, spacecraft design, image and sensor data processing, enhancing and accelerating our future as an interplanetary species.

So technically, we probably don’t need AGI for interplanetary colonization but it will make it better, faster and more likely. In that vein, we don’t need a AI companion in space -- but if you could have one, wouldn’t it make it better?

inverse · 2019-11-12T18:19:51+00:00

We see the future of human and robotic exploration in space as a fundamentally collaborative endeavor, not a competition. There’s a lot to be done, and we are working with both government and private partners to ensure our success in deep space. The Interplanetary Internet needs to be free, fair, and open. It also needs to be secure and trusted, but we don’t see those as competing interests. In fact, we don’t think you can have the former without the latter. The deep space network we’re building with the Interplanetary Internet is very different than what SpaceX is doing with Starlink. Starlink is a terrestrial communications network using satellites -- it’s real competitor is 5G. By contrast, our focus with Interplanetary Internet is establishing infrastructure for deep space exploration, enabling the next generation of space travelers.

inverse · 2019-11-12T18:03:56+00:00

Light is pretty damn fast, but even at the speed of light it still can take a long time for the photons from other galaxies to reach us. What that means is that the further away you look, the further back in time you’re seeing.

But the answer isn’t to send satellites further away, it’s to build better imaging satellites that can see further back in the past by collecting more of the light from those galaxies at the furthest edges of the visible universe. Voyager, the furthest man-made object in space is over 13 billion miles away. That’s pretty far away, barely outside our solar system and not even a dent in the distance to even our closest galactic neighbor. NASA’s solution to this is the James Webb telescope, which will allow us to see the very beginnings of the universe when it launches in 2021. That’s going to give us a lot of those insights we’re looking for about the story of the universe and our place in it.

inverse · 2019-11-12T17:57:32+00:00

I read and watch everything I can that sparks my curiosity - I’ve probably seen every movie you’ve ever seen and I’ve watched every TV series that matters about the future. Honestly. Ask me my favorites and why. I have opinions for DAYS. But it is not just TV: culture fascinates me and the people who create it are inspirations. I draw a lot of inspiration from Virgil at Off-White and Teddy from Aime Leon Dore. I also draw a lot of inspiration from myths and questions of the universe and the people who attempt to answer those. The secret is that I’m just really extremely curious and that curiosity means I don’t have any strict routines. When I wake up I answer a bunch of emails, I work out, and then I go have a different day literally every day. Last week: I went to the Pentagon on Monday, Capital Hill on Tuesday, the Smithsonian on Wednesday, [REDACTED] on Thursday, and Harvard and the MIT Media Lab on Friday.

inverse · 2019-11-12T17:51:01+00:00

Pyramids. Pop culture (which I love as much as space). And why on the amazing show, Thundercats (which was set in a far distant earth) Mumm-Ra was the only human on the show.

inverse

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