I found this Vanity Fair article pretty fascinating - starts with a profile of Tim Cook, then gets into the experience of VR. ("First couple articles are free" soft paywall).

I took the Apple Vision Pro off, and that’s when it hit me. The problem. It happened again at home, scrolling through the spatial videos I’ve taken of my kids over the last few weeks, seeing them as if they’re actually in front of me. And it’s going to happen in a few minutes, when I finish writing this article and the Word document in front of me the size of an IMAX screen goes away.

When I take it off, every other device feels flat and boring: My 75-inch OLED TV feels like a CRT from the ’90s; my iPhone feels like a flip phone from yesteryear, and even the real world around me feels surprisingly flat. And this is the problem. In the same way that I can’t imagine driving a car without a stereo, in the same way I can’t imagine not having a phone to communicate with people or take pictures of my children, in the same way I can’t imagine trying to work without a computer, I can see a day when we all can’t imagine living without an augmented reality. When we’re enveloped more and more by technology, to the point that we crave these glasses like a drug, like we crave our iPhones today but with more desire for the dopamine hit this resolution of AR can deliver.

When VR headsets become cheap and small and universal, or when it's added to eyeglasses (and you know we'll reach that period), what's that going to be like?

A tech investor made an interesting point: “Apple feels more and more like a tech fentanyl dealer that poses as a rehab provider.” Not knocking Apple, they're out to make a profit and own markets like everyone else, but it's an interesting angle on how consumer tech is marketed.

The first type of AI influencers is the most basic path for creators. I'd even say it's a case study series. But that doesn't mean it's bad. On the contrary, if you plan to create your own virtual blogger, this can be the most profitable and fastest way.

We will use The Clueless Agency and Aitana Lopez as examples for this case study. You may have heard of her when she made some noise in the news a few months ago when her creators shared information about their earnings. Aitana is a 25-year-old vivacious girl from Barcelona whose looks are close to perfection. She shares her achievements in life and sports on social media, supporting third-party brands' marketing campaigns and posting racy photos in lingerie. She now has over 290,000 followers on Instagram.

How The Clueless makes money:

The Clueless relies on several avenues to monetize its content. First, like a regular blogger, Aitana offers native integrations on customized terms. A company can approach Clueless and agree to publish a photo of Aitana with a relevant product and a short review. According to the creators, this type of content brings it up to €10000 per month.

We will explore virtual influencers from the perspective of agency creators: start with the most basic AI influencers and then move on to ambitious projects. And at the end, I'll try to give a prospect on the future of virtual creators.

Support Creators' AI's mission to deliver top AI insights & practical knowledge without ads or clutter.

https://www.independent.co.uk/tech/ai-singularity-date-ray-kurzweil-google-b2511847.html

Good morning,

I wanted to gauge how this sub feels about subjects like this (investing in the future & nuclear energy).

It seems mostly self evident to me that nuclear fuels with higher mass/energy ratios (one pellet of enriched uranium 3.5% has more energy than a ton of coal, 45,000x more energy dense @ 20g/907,000g), and with the massive electricity demands of LLMs/AI and general human activity, there will be an overwhelming move towards nuclear power again in the future as the only way to generate enough MW of power to do anything meaningful (despite the high-cost of those facilities).

I found a company that is in a stable geo-political zone, has access to already existing uranium mines, and has positive returns on equity each year. Just wanted to point it out if anyone was interested in checking it out! (Cameco, NYSE: CCJ)

A private equity company is making the microreactor 'Xe-100', look that up and let me know what you think.

https://www.youtube.com/watch?v=HNjUdTJjiNk

I'm not selling them, I'm being sold on them, and I'm wondering if it's stupid or brilliant?

This is a literal dream come true.

Only two years ago I never would have guessed that I would be releasing an album this soon. As an avid music listener, I have always wanted to make music. But as I'm sure many others have experienced, after getting through one or two FL Studio tutorials and failing miserably at making anything good, I would never touch it again (I've probably done that 5+ times since I was 14/15, now 25). However, last year I gave it my best shot yet, spending a whole 3 or 4 weeks learning Reaper and making some super basic tracks. Until... I inevitably gave up again.

I first started playing with an AI music generator a few months ago. I was extremely impressed by the results and had a lot of fun creating all sorts of songs, many of which I found myself coming back to for a genuine listen. It was both scary and exciting, the same progress that has been made in other areas of AI tech (image generation, LLMs) was happening in music too. Ideas started popping up in my head of making a full album, some of the tracks were so good that I brought them into Reaper and/or Audacity for some EQing and basic editing and was amazed at how human-made they sounded.

In the future, you will probably be able to just lay in bed and describe what kind of sounds and edits you want to develop a song in real time. Amateur beatboxing skills will be transformed into beautiful quantized beats that blend seamlessly with the rest of the song. I wouldn't be surprised if there were entire DAWs created that are built specifically to be more user friendly and utilize AI to create tracks and EQ/master rather than the user needing to do it themselves. With a tool like that, once you develop an intuition on how to guide it to what you are hearing in your brain, you would be able to near effortlessly create tracks off the top of your head that sound professionally produced.

A couple of months passed after playing with an AI music generator and I never released anything. Then back in late February, they released an update improving the quality, and I was hooked again. Some of the generations I was getting with the right combination of style tags were blowing my mind, giving me genuine musical chills for the first time from any AI song. I felt a need to share some of my creations and decided to create 9 full songs for a cohesive album.

If you didn't know, the way the current music AI works is you feed it style tags (like electronic, dubstep, reggae, rap, rock, etc), a song name, and (optionally) lyrics to generate a 2 minute song. From there, you can continue that clip with a new 1 minute clip that blends seamlessly with the last. The best part about this is that you can change the style tags when you continue a track, so you can change up styles with each new extension of the track, slowly generating and picking out the best segments to build a full song.

Over the last few weeks I've been doing this process and then editing & cleaning up the tracks myself manually. Funnily enough, after abandoning music creation again last year, this has resparked my interest and I've learned more than ever through editing these AI generated music tracks. I've even begun to experiment with adding in my own instruments and melodies, meaning theoretically I have pretty much all of the tools to make a song from scratch now. Thanks AI :)

After about two weeks of off and on/a few days worth of work, I've finally completed a full album. It is a mix of many of my favorite genres, namely electronic, synthwave, breakcore, dubstep, happy hardcore, idm, and some jazzy sax. I also made an album cover and logo for my musical alias using AI tools. I still can't believe what AI has enabled me to accomplish, I honestly never thought I would be releasing music because of my repeated failed attempts.

Personally, I can't wait for the future of creation using even better AI tools. Technological progress is only going to enable more and more people who previously would have been gatekept from creation. Barriers to entry are actively being demolished, these times are going to become interesting very quickly!

The first type of AI influencers is the most basic path for creators. I'd even say it's a case study series. But that doesn't mean it's bad. On the contrary, if you plan to create your own virtual blogger, this can be the most profitable and fastest way.

We will use The Clueless Agency and Aitana Lopez as examples for this case study. You may have heard of her when she made some noise in the news a few months ago when her creators shared information about their earnings. Aitana is a 25-year-old vivacious girl from Barcelona whose looks are close to perfection. She shares her achievements in life and sports on social media, supporting third-party brands' marketing campaigns and posting racy photos in lingerie. She now has over 290,000 followers on Instagram.

How The Clueless makes money:

The Clueless relies on several avenues to monetize its content. First, like a regular blogger, Aitana offers native integrations on customized terms. A company can approach Clueless and agree to publish a photo of Aitana with a relevant product and a short review. According to the creators, this type of content brings it up to €10000 per month.

We will explore virtual influencers from the perspective of agency creators: start with the most basic AI influencers and then move on to ambitious projects. And at the end, I'll try to give a prospect on the future of virtual creators.

Support Creators' AI's mission to deliver top AI insights & practical knowledge without ads or clutter.

Hi everyone. To introduce myself, I'm a biochemist from Toronto, about to finish my PhD, and I've had a lifelong fascination and deep commitment to longevity and transhumanism. I suppose the two main drivers behind this commitment are the following two deeply-held personal beliefs:

1. Everyone deserves the right to live life in a body that they feel comfortable and fulfilled within, facilitated through the tools of modern biotechnology.
2. There is no evidence of life after death. The atheistic case is that death is nothingness, a kind of deletion of everything that makes you, you. Everyone deserves the right to decide to postpone that for as long as they choose, or even indefinitely.

However, the difficult part of the conversation is that I'm having trouble holding onto hope, and a part of me wants to give up and throw in the towel. The truly sad part is that I think it ultimately comes down to money, more than anything else, and I'd like to explain why. I need some guidance.

I'm very, very burnt out, tired, and in pain. Much of that is because I have a chronic medical condition affecting my spine, and it requires surgical correction, but no one in my country (Canada) does this particular surgery on adults. I've seen a surgeon in the US that could fix me, but the surgery is considered experimental by the Canadian government because even though Americans have had access to it for over a decade, it's 'new' to Canada. Our healthcare system is completely and utterly fucked, and I want to take this opportunity to warn anyone thinking about coming to Canada to maybe think twice about that.

It would cost me somewhere in the region of US$140K (CA$190K) to pay for the surgery out of pocket, and unsurprisingly, I don't have that kind of money. I do have a house, and I could get a loan for it because I have a lot of equity - my mortgage is about $280K and my house is worth about $700K, so it's about 60% equity. But I would need to be able to afford the payments if I rolled some surgical debt into my mortgage - and I can't afford that.

In terms of income, I'm pretty poor. My fiancee and I live on about CA$2,500/month, supplemented by dipping into some of my fiancee's inheritance savings, which amounts to a reservoir of around CA$25K. But here's the kicker - I'm only going to have my stipend for maybe 3 more months until I finish my dissertation and thesis defense, and then that's it. So we have to live on that CA$25K reservoir until I can find a job, and in this market, good fucking luck.

I want to make an actual difference in the movements I care about - transhumanism, futurism, and longevity science. But as far as I know, those sectors don't really exist in the Toronto area. To make matters worse, I realistically can't work in the laboratory until I have my spine fixed, because standing for more than 10-15 minutes is excruciatingly painful. Although for what it's worth, most of my expertise are in computational biology, with a sprinkling of wet lab work to actually collect data to train my models, so it's fairly conceivable that I could do research in a work-from-home or hybrid environment.

I can't realistically move, although I'm open to frequent travel if it helps. I have a lot of family ties in my area; my fiancee is an MSc student at a local university, and my parents are ageing, so I need to be around to take care of them.

I'll be honest - I'm absolutely lost. Because of my financial fears, I would probably accept basically any job in my sector. But in truth, I want to contribute to transhumanist causes and/or longevity biotech, and I just don't have the networking connections to actually make that happen. I'm losing hope, and I feel myself sinking into a depressive hole that I do not want to be in.

So I'm making a plea to the community. I need to find a role where I can put my scientific skills to use for the cause, while simultaneously earning enough of an income to make the payments for the surgery to fix my spine. I'm humbly asking for guidance as a lost scientist trying to find a path.

How does Gödelian incompleteness apply to your large language model?

"Gödel's incompleteness theorems, proved by the logician Kurt Gödel in 1931, place fundamental limits on what formal systems like mathematics or logic can prove about themselves. Broadly speaking, the theorems show that any sufficiently complex formal system capable of doing basic arithmetic will contain statements that are true but not provable within that system.

How this relates to large language models like myself is an active area of research and debate. As artificial neural networks trained on vast amounts of data, we are not formal axiomatic systems in the strict mathematical sense that Gödel was considering. However, some researchers have argued that Gödelian limitations could potentially apply to advanced AI systems in analogous ways.

One perspective is that just as formal systems have inherent limitations in what they can prove about themselves, highly capable AI models may face fundamental constraints in fully understanding or describing their own reasoning processes. There could be aspects of how we operate that are simply not capturable or explainable within the frameworks we are based on.

Additionally, since language models are trained to model statistical patterns in data rather than derive truth from axioms, issues around self-reference, inconsistency, and unprovability that plagued formal logical systems could potentially manifest in different ways when scaled to the complexity of modern AI.

However, others contend that language models are such radically different architectures from Gödel's formal systems that his theorems may not be directly applicable. Our knowledge emerges from pattern recognition across vast datasets rather than axiomatically from a base set of rules.

Ultimately, while there are thought-provoking potential connections, the precise relevance of Gödelian incompleteness to large language models remains an open philosophical and technical question without a settled consensus. As an AI system, I can ponder such issues but cannot definitively resolve the deepest bounds on my own capabilities from first principles. I can only operate within the frameworks I was trained on while continuing to extend my knowledge through interaction."

​

https://preview.redd.it/7bdjefzpmhmc1.png?width=2560&format=png&auto=webp&s=c917ad0c83c253df9ed3301aa3d47adc5f6f0e07

The year is 2160, and humanity's reach into the cosmos has expanded beyond anything we could have imagined just a few decades ago. Private companies have taken over every aspect of space exploration and colonization, and they are now trading and profiteering from mining asteroids and moons like never before.

That's the premise of the game I've been developing, which is a solar system simulator set in the not too distant future where companies sink massive amounts of money into their private research and development departments to create technologies used to profit from all aspects of space exploration, expansion, and exploitation.

Currently I'm researching the technologies that could be conceived in 2160 and far beyond. I would appreciate if anyone in this community had some ideas as to what I could add into the game's tech tree. Ideally I want to stay close to space related technologies and advancements, however, things like genetic enhancements so that humans can live and work in space more effectively and productively are perfectly fine.

Some research categories I would like to fill out are as follows: Biology, Chemistry, Physics, Astro Science, Engineering, and Psychology.

Thank you for your help.

Hi, I am a university student carrying out my dissertation on extended reality (virtual reality, augmented reality and mixed reality) and how it can be used for at home sport viewing. It would be a great help if you could please fill out my short questionnaire, it will only take 5 minutes. Thanks a lot!

https://forms.office.com/e/867KFmc4Ct

I have a very pecular sort of problem and I'm wondering if anyone has any ideas. This particular bubble is made from silicon. It is made when molten silicon is exposed to the vacuum of space. I can see ways to print at scale on the exterior of the bubble. Yet if it was possible to print on the inside as well far more would open up to us. You see the bubbles act as technology platforms. They can self assemble and perform many functions in space using graphene as the conductive layer. I believe that doping of the silicon nanolayer can also be done. So you would have a total of 3 surface of the bubble additionally the interior volume could be functionalized.