Bitcoin has recently again seen massive rises in the markets and with technologies like Bitcoin’s lightning network coming online to support thousands of transactions per second, Bitcoin and cryptocurrency in general might finally have shown its a viable and long-term technology that’s here to stay.
Has Bitcoin’s recent rise in the markets been triggered by anything other than pure speculation? Are there more real-world use-cases of Bitcoin being a better alternative than traditional money?
Is Facebook’s “cryptocurrency” project Libra is expected to be released this year. Is this an actual crypto that has use or just a way for FB to get on the “crypto” bandwagon?
How does all this impact the much wider topic of the implementation of blockchain currencies?
Lastly we talk about the roll-out of 5G networks.
Will 5G be what truly ushers in AR & VR? Does its model of low latency/high bandwidth overcome the problems existing VR solutions have had with the high cost of VR’s local computing needs?
When/If VR/AR the new predominant computing paradigm – will we have new tech giants? Can existing ones adapt?
Is this tech something else accelerating the trend for economic dislocation via globalization/automation.
This month Elon’s newest company Neuralink is planning a $51 million fundraising effort. How plausible is Neuralink’s ambitious goal to connect a human mind to the cloud? It is building part of your brain in the cloud. Part of “you” would be non-biological. A few mind-bending thought experiments to chat about.
The ability to think of a question and you just “know” the answer just like knowledge you have today. You think of something and the answer just kinda pops into your consciousness. We have access to all of human knowledge via our smartphones and the internet. But connecting a mind you’d be able to just think of a question and the answer would just come to you. No need to google it.
Even moreso, you would have intuitive understanding of the answer since Neuralink is able to access your brain. It really might be like Neo and the Matrix and you can download knowledge. Not just know an answer, but you might be able to intuitively understand it as well. You can read all about how to fly an airplane in a book, but it still takes a lot of training to make it actually “stick”. Neuralink has the potential to have anyone be an expert in any field with mere a thought.
Thought communication. You could connect your mind to someone else and have telepathic communication. This could be the ultimate communication facilitator. You could have absolute confidence someone is being truthful to you. Trust could be built immediately.
And here’s where it gets wild. You could experience someone else’s experience. Want to know what its like to climb Mt. Everest? You could download the experience and live it through someone else’s shoes. Your entire visual field, hearing, etc. could be led to experience what it’s like to climb Mt. Everest. Not like watching a movie, but in every way *know* what it’s like and experience it yourself.
The original Apple Macintosh in 1984 was the first mass-market personal computer that featured a graphical user interface, built-in screen and mouse and incorporated software spreadsheet programs and word processors. All these elements had been around for a number of years separately – the Macintosh was the first to bring them all together into what we now recognise as a PC.
Is Robotics about to have the same moment?
Consider separately Voice Tech in Alexa/Google Duplex, Motion with Boston Dynamics, Ease of trainability – KUKA Robotics, cutting edge of dexterity in handling. What would a 2019 robot look like that brought all these together then way the Apple Mac did in 1984. How far off is this? What are the implications? Are general purpose robots that can do most unskilled/semi-skilled work coming sooner than we expected?
Midnight, Mvea, Lugh and Stryker talk about CRISPR and the push for a manned Moon landing…
Mvea introduces CRISPR & gives an overview of where it is at this point. We then go on to discuss some of its future implications. In particular we look to its longer term future where we can begin to fundamentally alter ourselves.
New Lunar Plans
Political Feasibility – will Congress agree to funding, is this a Trump vanity project? Engineering feasibility – is this possible within the new time frame?
Criticisms. in isolation from other projects is there any point to humans returning to the moon for a one-off trip just for the sake of it? Multiple components -Lunar orbital Gateway, Orion capsule, SLS landing craft. Requirement for International partners. LOP-G – wider mission for deep space/Mars – but is it necessary as a solution.
China – plans south pole lunar base “within 10 years” – is a lunar base a better approach? Why is the US still opposed to China joining international co-operation if cool with Russia. China has asked for international cooperation with its planned South pole lunar base.
SpaceX – BFR Super Heavy – a better idea than Boeing SLS? Starship Hopper – a better idea than Orion?
Lunar Base VS. Mars/Asteroids/Deep space – either/or or both?
In this episode we talk about ITAR. A regulation restricting certain technologies. I made a mistake in what it stands for. It stands for International Traffic in Arms Regulations. Wanted to correct that.
In this episode we hear from Lugh and Stryker on AI and lab grown meat.
Lugh discusses the advent of post-scarcity resources in education and medicine. The question he asks, based on the comments in this thread, is why do people overwhelmingly focus on wealth inequality when considering this issue?
Why don’t they focus on the positives?
This link is to the AI only medical clinics in China.
This article does a good job at addressing these common reactions people have to the idea of lab-grown meat.
Stryker discusses cultured/lab-grown meat as a necessity for several reasons. Less land needed for raising livestock. Less greenhouse gas emissions, theoretically more efficient as you only need to raise the meat, not the bones, brain, etc of an entire animal. Hope is to scale-up so that it can be mass produced. This will increase yields (helping address rising population and demand for meat in developing countries).