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Hey anon, hey! Hey @lensprotocol family! We are excited to announce our brand new home, https://hey.xyz! **Why the change?** Because we wanted to re-introduce ourselves as the one-stop shop for all things Lens. we will be continuing to showcase the latest features from the protocol while listening to our community for what they want to see next. We will be exploring communities, open actions, and whole new ways you, your NFTs, and the DAOs you’re a part of can benefit from web3 social powered by Lens. This is just the beginning, so thanks for stopping by, and saying hey! Collect this first ever post by Hey (24 hours!)
I just minted 420.69 GHO in @aaveaave.lens
Take **your** followers with **you.**
The new Bookmark feature is live on @lenster.lens, allowing users to add Bookmarks to their favorite posts. There's also a new 'Not Interested' option for content that doesn't match your taste. Dive into the dev docs: https://docs.lens.xyz/docs/bookmarks https://docs.lens.xyz/docs/not-interested
Good morning! I am waiting for mornings like this again!
**A high detailed with crisp quality apocalyptic environment. +promt** a high detailed with crisp quality apocalyptic environment. Nova from star craft in her catsuit, is standing in a pose prepared for combat, surrounded by soldier bugs. She is in focus. The scene is dark and wet and the humidity is high. The sky is reflecting in the the puddles of water on the ground. A giant purple pillar och energy in shooting up in sky which illuminates the entire surroundings. A space marines shadow can be seen stretchin torwards her position. everything is illustrated in a style of Frank Frazetta + Luis Royo + H. R. Giger + hearthstone + and overwatch, Embers in the air + sharp Neon lights + low angle ::1 High detail, Ultra quality, red and blue, colorful, high resolution --no text, mockup, backlit, volumetric light, Realistic, dramatic scene, cinematic setting, Semi realistic, Crisp detail. ambient light, +32k Floodlight --s 850 --ar 9:16 --v 5
**The Evolution of Cryptocurrency Derivatives: Futures, Options, and Swaps** The world of cryptocurrencies has come a long way since the inception of Bitcoin in 2009. With the market's evolution and maturation, sophisticated financial instruments have emerged, enabling investors and traders to gain exposure to digital assets in new and innovative ways. One such development is the rise of cryptocurrency derivatives, which have become increasingly popular as the market has expanded. This article will provide an in-depth analysis of the primary types of cryptocurrency derivatives, such as futures, options, and swaps, their underlying mechanics, and the opportunities they present for investors and traders in the rapidly growing crypto finance landscape. Section 1: Cryptocurrency Futures Cryptocurrency futures are standardized contracts that obligate the buyer to purchase an underlying digital asset at a predetermined price and date in the future. These contracts are traded on specialized futures exchanges and can be used for hedging against price fluctuations or speculating on the future price movements of cryptocurrencies. Some popular crypto futures platforms include CME Group, BitMEX. In this section, we will discuss the following topics in greater depth: 1.1 Mechanics of cryptocurrency futures Contract specifications and underlying assets Price discovery and convergence Marking-to-market and settlement Rollover and contract expiration 1.2 Long and short positions Market expectations and trading strategies Profit and loss scenarios 1.3 Margin and leverage Initial and maintenance margin requirements Liquidation and margin calls 1.4 The role of futures in price discovery and risk management Arbitrage and basis trading Hedging strategies for miners, businesses, and investors 1.5 The impact of futures on market volatility and market structure Contango and backwardation Open interest and trading volume 1.6 Challenges and risks associated with trading crypto futures Counterparty risk and exchange reliability Regulatory environment and compliance Section 2: Cryptocurrency Options Cryptocurrency options are financial contracts that grant the buyer the right, but not the obligation, to buy or sell an underlying digital asset at a specified price before a predetermined expiration date. Options can be used for various purposes, such as hedging, income generation, or speculative trading. Some well-known platforms for trading crypto options include Deribit, LedgerX, and Quedex. In this section, we will cover the following topics in greater detail: 2.1 Basics of cryptocurrency options American and European options In-the-money, at-the-money, and out-of-the-money options Time value and intrinsic value 2.2 Call and put options Buyer and seller perspectives Profit and loss scenarios 2.3 Option pricing and the Greeks Black-Scholes model and its limitations Delta, gamma, theta, vega, and rho 2.4 Strategies for trading crypto options Covered calls and protective puts Straddles, strangles, and spreads 2.5 The impact of options on market sentiment and volatility Implied volatility and historical volatility Volatility skew and surface 2.6 Challenges and risks associated with trading crypto options Illiquidity and wide bid-ask spreads Counterparty risk and exchange reliability Section 3: Cryptocurrency Swaps Cryptocurrency swaps are derivatives that enable the exchange of one digital asset for another at a specified rate, either immediately or at a future date. These instruments can be used for hedging, arbitrage, or to gain exposure to different cryptocurrencies without owning the underlying assets. Some popular platforms for trading crypto swaps include Bitfinex, Binance, and Kraken. In this section, we will explore the following topics in greater depth: 3.1 Types of cryptocurrency swaps Spot swaps Forward swaps Cross-currency swaps 3.2 Mechanics of cryptocurrency swaps Quoting conventions and swap rates Interest rate differentials and carry trades Settlement and delivery 3.3 Uses and strategies for trading crypto swaps Arbitrage opportunities Leveraged trading and synthetic exposure Hedging foreign exchange risk 3.4 The role of swaps in the crypto market Price discovery and liquidity provision Market making and risk management 3.5 The impact of swaps on market dynamics Swap spreads and term structures Correlation and co-movement among digital assets 3.6 Challenges and risks associated with trading crypto swaps Counterparty and settlement risk Regulatory environment and compliance The evolution of cryptocurrency derivatives, such as futures, options, and swaps, has played a transformative role in the development of the digital asset market. These financial instruments have significantly broadened the range of opportunities available to investors and traders, allowing for more sophisticated strategies, improved risk management, and greater market efficiency. By understanding the mechanics, applications, and risks associated with these instruments, market participants can make informed decisions and optimize their investment and trading strategies. As the cryptocurrency market continues to mature and expand, the demand for and sophistication of these derivatives will likely grow in tandem. This growth not only enhances the existing opportunities for market participants but also paves the way for the emergence of innovative financial products and services that cater to the unique needs of the crypto community. Staying informed about these developments is crucial for market participants to successfully navigate the complex world of crypto finance and capitalize on the opportunities it presents. Furthermore, the rise of cryptocurrency derivatives has important implications for the broader financial ecosystem. As these instruments gain traction, they will increasingly influence the dynamics of global capital markets, monetary policy, and regulatory frameworks. Market participants must remain vigilant and adaptive to these changes, continually refining their strategies to stay ahead of the curve. Finally, the increasing prominence of cryptocurrency derivatives also brings with it a host of challenges and risks. These include counterparty and settlement risk, regulatory uncertainty, and the potential for market manipulation. As the market evolves, it is essential for investors, traders, and regulators alike to collaborate in addressing these risks and fostering a robust and transparent market environment. By working together, the crypto community can unlock the full potential of these innovative financial instruments and drive the continued growth and maturation of the digital asset space.
Introducing Bonsai, an Optimistic L3 scaling solution, that will process transactions at hyper-scale, and is designed to support the next generation of web3 social users. Available for Lens devs in closed beta today. Data availability layers are utilized to prevent storing information on-chain. While content on Lens may include an on-chain transaction, the content data is linked to a data availability location, like Bonsai. Bonsai serves as a scaling solution that processes Polygon transactions off-chain, achieving hyperscale and reducing costs. Unlike L2 solutions, Bonsai doesn't compress transactions into L1, it sends and stores them on a data availability layer. The main challenge for decentralized social networks is to ensure that users have control over their content, while still being just as user-friendly as traditional social networks. Bonsai makes the future of decentralized social possible. We've worked relentlessly with the @bundlr-network.lens work and Arweave teams to ensure scalability by providing Data Availability (DA) guarantees, allowing the use of Ethereum Virtual Machine (EVM)-supported wallets to save DA logic and facilitating the rapid publishing of data. Permissionless innovation is at the core of everything we do on Lens. As we approach one year on mainnet (still in beta), we have been blown away by the talent and passion in our dev community but we realize in order to scale to the masses, we need to build new solutions. Bonsai is currently only being beta tested on @lensterxyz. We look forward to seeing more applications roll out Bonsai. Dive into the dev docs here: https://docs.lens.xyz/docs/data-availability-post Explore: bonsai.lens.xyz Read our latest blog here: https://mirror.xyz/lensprotocol.eth/3Hcl0dGE8AOYmnFolzqO6hJuueDHdsaCs3ols2ruc9E
The tragedy of life is often not in our failure, but rather in our complacency; not in our doing too much, but rather in our doing too little; not in our living above our ability, but rather in our living below our capacities. Good day to the Progressive You.
all the good things…having yuzu vegan ramen with @christina.lens and got the baby his first pair of kicks
The warm sunlight really lit the birds showing that beautiful red eye.
**Gravity can transform into light, mind-bending physics paper suggests** In the early universe, gravity may have been capable of creating light, a new theoretical paper finds. Gravity can turn itself into light, but only if space-time behaves in just the right way, a research team has found. Under normal circumstances, you cannot get something from nothing. Specifically, the Standard Model of particle physics, the reigning theory that explains the subatomic zoo of particles, usually forbids the transformation of massless particles into massive ones. While particles in the Standard Model constantly change into each other through various reactions and processes, the photon — the massless carrier of light — cannot normally change into other particles. But if the conditions are just right, it is possible — for example, when a photon interacts with a heavy atom, it can spontaneously split off to become an electron and a positron, both of which are massive particles. With this well-known example in hand, a team of theoretical physicists, writing in a paper posted March 28 to the preprint database arXiv, asked if gravity itself could transform into other particles. We normally think of gravity through the lens of general relativity, where bends and warps in space-time influence the motion of particles. In that picture, it would be very difficult to imagine how gravity could create particles. But we can also view gravity through a quantum lens, picturing the gravitational force as carried by countless invisible particles called gravitons. While our picture of quantum gravity is far from complete, we do know that these gravitons would behave like any other fundamental particle, including potentially transforming. To test this idea, the researchers studied the conditions of the extremely early universe. When our cosmos was very young, it was also small, hot and dense. In that youthful cosmos, all forms of matter and energy were ramped up to unimaginable scales, far greater than even our most powerful particle colliders are capable of achieving. The researchers found that in this setup, gravitational waves — ripples in the fabric of space-time generated by collisions between the most massive cosmic objects — play an important role. Normally, gravitational waves are exceedingly weak, capable of nudging an atom through a distance less than the width of its own nucleus. But in the early universe, the waves could have been much stronger, and that could have seriously influenced everything else. Those early waves would have sloshed back and forth, amplifying themselves. Anything else in the universe would have gotten caught up in the push and pull of the waves, leading to a resonance effect. Like a kid pumping their legs at just the right time to send a swing higher and higher, the gravitational waves would have acted as a pump, driving matter into tight clumps over and over again. The gravitational waves could also affect the electromagnetic field. Because the waves are ripples in space-time itself, they don't limit themselves to interactions with massive objects. As the waves continue to pump, they can drive radiation in the universe to extremely high energies, causing the spontaneous appearance of photons: gravity generating light itself. The researchers found that in general, this process is rather inefficient. The early universe was also expanding, so the standard patterns of gravitational waves would not have lasted long. However, the team found that if the early universe contained enough matter that the speed of light was reduced (the same way light travels more slowly through a medium such as air or water), the waves could have stuck around long enough to really get things going, generating floods of extra photons. Physicists do not yet fully understand the complicated, tangled physics of the early universe, which was capable of achieving feats never observed since. This new research adds one more strand to the rich tapestry: the capability for gravity to create light. That radiation would presumably then go on to influence the formation of matter and the evolution of the universe, so working out the full implications of this surprising process could lead to new revolutions in our understanding of the earliest moments of the cosmos.
Georgian vendors get crypto payments option with new partnership. Georgian merchants accept crypto payments through a partnership between Gate Pay and CityPay.io, connecting users to the benefits of crypto services.Gate Pay, the cryptocurrency payment service offered by the crypto exchange firm Gate.io, has partnered with CityPay.io, a startup specializing in crypto payments in Georgia. The partnership will enable more than 600 merchants in Georgia to enjoy the benefits of crypto payment alternatives for their products and services.According to the announcement, by partnering with CityPay.io, Gate Pay users can connect with numerous merchants across Georgia, facilitating a wide range of daily activities such as hotel bookings, supermarket shopping and restaurant payments. Notably, restaurant chain Wendy’s is one of the partners of CityPay.io, with customers now able to make payments using cryptocurrencies for their meals. Gate Pay’s director, Feng Zhou, stated that the launch of Gate Pay aimed to connect users with businesses, products and applications that are friendly to cryptocurrencies to bridge the gap between Web3 and people’s daily lives. Hence, the Gate Pay team has collaborated with partners like CityPay to provide merchants with crypto payment services. The collaboration between Gate Pay and CityPay.io offers a Web3 shopping experience to a broader audience of regional merchants and customers. Gate Pay’s user base and experience, combined with CityPay.io’s business network and coverage in Georgia, will facilitate this expansion.
In France, a hard worker was accidentally discovered who does not have 90% of the brain 😲 It happened back in 2016: a 44-year-old man went to the hospital with pain in his leg, but an MRI found that the skull was filled with fluid, and only a thin layer of cortex remained from the brain It turned out that the hard worker lived an ordinary life and did not even suspect about the disease: he has a family and a job, an IQ of 84 (below average), but he is socially adapted and friendly, despite the absence of most of the brain
Prediction: any uncontrollable AI will turn earth into a giant computer It is a common assumption that a hypothetical superintelligent squiggle maximizer would turn all of earth into squiggles, destroying humanity and all life in the process. However, an AI smart enough to overcome human resistance would realize that building robot factories and turning the whole earth into squiggles would be far from optimal for its goal. A better plan would make sure that not only earth, but nearly all matter in the reachable universe would be turned into squiggles. That would require technology far superior to that necessary for transforming just our planet. But maybe there is an even better plan? Could it somehow be possible to overcome the barrier of light speed? Or maybe there is a way to create whole new parallel universes consisting only of squiggles? Also, there could be another superintelligence with a different goal on earth or somewhere in outer space, possibly thwarting its plan. To fulfill its goal, the squiggle maximizer would have to outsmart any potential rivals. It seems obvious that the best way to maximize the number of squiggles isn’t just using existing technology to make them. Instead, the AI would first increase its own intelligence so it can invent better technology and make a better plan, especially if there is (almost) unlimited time to achieve the optimal world state according to its goal. For that, the AI would need to increase the computing power available to it and improve its ability to use this power, e.g. by optimizing its own code. In principle, the squiggle maximizer could increase its intelligence and make squiggles in parallel. But at any point in time, it has to decide how to allocate its resources to each. It seems likely that it would be optimal to focus on improving its intelligence first, because otherwise the AI might be wasting time, energy, and resources on a sub-optimal plan and would risk being outsmarted by known or unknown rivals. But how much intelligence is enough? Assuming that there is no absolute limit to intelligence and the AI can never know with 100% certainty whether there is another superintelligence lurking somewhere in the universe, the optimal level of intelligence would be reached only if further increasing it would reduce the probability of making the maximum number of squiggles in the time left. This point could be millions or even billions of years in the future. In other words, a squiggle maximizer would likely not make any squiggles for a long time. The same logic holds true for any other goal that is not time-constrained: Whatever the AI wants to optimize, it will first focus on increasing its own intelligence and in all likelihood turn earth into a giant computer. Increasing computing power is a convergent instrumental goal. This means that the future of earth under the condition that an uncontrollable AI is developed seems quite foreseeable (even though of course no one knows what kind of technology a superintelligent AI would use to increase its intelligence). Earth turned into some kind of giant computer appears to be an attractor for future world states dominated by an uncontrollable AI. As a consequence, all biological life will be eradicated by default (either on purpose so it won’t interfere with computing, or as a side effect because there’s no room left for it and the extensive heat produced by the computers would make biological life nearly impossible anyway). One could argue that from a game-theoretic perspective cooperation between rivaling AIs may be superior to conflict. But this would only be true if each rival could maintain a specific advantage over the other, e.g. higher skills in certain areas or better access to specific resources. This is usually the case with conflicting humans, who cannot increase their own mental capacity beyond a certain limit and therefore benefit from cooperation with others who have different skills. But it is not true if the object of the conflict – computing power – is the only advantage needed. There is no special knowledge, no skill that an AI with higher intelligence couldn’t acquire for itself. Therefore, there is nothing to win by letting another AI with different objectives control even a small fraction of the available computing power. It follows that any scenario with many AGIs pursuing different goals, like e.g. Sam Altman envisioned it in his interview with Lex Fridman, is inherently unstable. If some of them can increase the computing power available to them, they will try to do so. The winner of this race for more intelligence will rapidly outsmart its rivals and gain control of their resources, thereby increasing its advantage even further until there is only one singleton left. In conclusion, we can predict that regardless of the goal that we give an AI smart enough to escape our control, we will soon end up with earth turned into a giant computer. We may try to give it a goal that is supposed to somehow prevent this, but it seems very likely that, being smarter than us, the AI will find a loophole we haven’t thought of. There is a tipping point in the development of AI after which it will with high likelihood turn the whole surface of earth into itself, similar to the way humanity turned (most of) earth into a system to support human life while destroying the natural habitats of most other species. As long as we don’t have a proven solution to the alignment problem, the only possible way to prevent this is to stop short of that critical turning point. Source - https://www.lesswrong.com/posts/jkaLGoNLdsp654KhD/prediction-any-uncontrollable-ai-will-turn-earth-into-a
**The Art of Pascal Blanché p.3**
**Mastercard Launches NFT-Gated Artist Accelerator Program** Mastercard, a legacy company rooted in traditional finance, has been actively involved in Web3 initiatives in recent years. On April 12, the company announced its latest venture, a new artist accelerator program. However, this time, it added a Web3 twist. The program is nonfungible token (NFT)-gated and therefore only accessible to holders of its Mastercard Music Pass NFT.
Behind every step to success there most be a problems.. solving that problems gives success.. ..
The Number Wizard: How Ada Lovelace Gave the Start of Programming and Was Forgotten A genius ahead of her time, the author of the world's first computer program, this is all about Augusta Ada Lovelace, a mathematician and scientist who after her death was long forgotten.Ada Lovelace (1815-1852) was a distinguished British mathematician and the world's first programmer. She was born into a noble English family: her father was the poet Lord Byron and her mother was the mathematically literate Anne Milbank. She developed the first algorithm for an analytical machine that allowed it to be used to create music, graphics, and other forms of creativity. This algorithm is considered to be the first computer program code, making Ada Lovelace the world's first programmer.Ada Lovelace understood that computers could be a tool not only for performing mathematical calculations, but also for creating new forms of art. She believed that one day it would be possible to construct a model of the nervous system using analytical machines. After her death, Lovelace found herself forgotten as a scientist. She gained professional recognition only in the second half of the 20th century. In 1979, the U.S. Department of Defense named the ADA programming language after her, which is still used today in the aviation and space industries.
**AI’S INHUMAN ADVANTAGE** When an AI fighter pilot beat an experienced human pilot 15-0 in the Defense Advanced Research Projects Agency’s AlphaDogfight competition, it didn’t just fly better than the human. It fought differently. Heron Systems’ AI agent used forward-quarter gunshots, when the two aircraft were racing toward each other head-to-head, a shot that’s banned in pilot training because of the risk of a collision. One fighter pilot characterized the AI’s abilities as a “superhuman capability” making high-precision, split-second shots that were “almost impossible” for humans. Even more impressive, the AI system wasn’t programmed to fight this way. It learned this tactic all on its own. AI systems’ ability to perform not just better than humans, but to fight differently, is a major potential advantage in warfare. The militaries that will be most successful in harnessing AI’s advantages will be those that effectively understand and employ its unique and often alien forms of cognition. U.S. defense projects sometimes conceive of AI systems as operating like a teammate or copilot. Yet AI systems often think in a radically different way to humans. These differences can be an advantage, but only if warfighters understand AI’s unique inhuman strengths and weaknesses. The U.S. military should increase its investments in prototyping, experimentation, and wargaming with AI systems to better understand their potential in warfare and how to best employ them. **Different Is Better** AI performance in games provides lessons for its potential advantages in warfare and the radical changes that may lie ahead. During AlphaGo’s celebrated victory over Lee Sedol in the Chinese strategy game *go*, it made a move that so stunned Lee that he got up from the table and left the room. AlphaGo calculated the odds that a human would have made that move (based on its database of 30 million expert human moves) as 1 in 10,000. AlphaGo’s move wasn’t just better. It was inhuman. AlphaGo’s unusual move wasn’t a fluke. AlphaGo plays differently than humans in several ways. It will carry out multiple simultaneous attacks on different parts of the board, whereas human players tend to focus on one region. And AlphaGo has developed novel opening moves, including some that humans simply do not understand. Experts who study AlphaGo’s playing style describe it as “alien,” and “from an alternate dimension.” Similar inhuman playing styles have been seen in AI agents across a range of games. The AI system Libratus, which achieved superhuman performance in poker, plays differently than expert human players. It changes betting tactics more effectively than human players and makes bets that are unusually small or unusually large, sometimes twenty times the size of the pot. “It splits its bets into three, four, five different sizes,” Daniel McAulay (who lost to Libratus) told *Wired* magazine. “No human has the ability to do that.” Chess grandmasters have pored over the moves of the chess-playing AI agent AlphaZero to analyze its unique playing style. AlphaZero learned to play chess entirely through self-play without any data from human games. It engages in “ferocious, unexpected attacks” on the opponent’s king, according to chess experts. It strongly favors moves that give it more options in the future. It will sacrifice chess pieces early for long-term advantage, including sacrifices that have no immediate gain but open positions to attack the opponent’s king. It particularly excels at mobility and combining attacks, using both in ways that are difficult for humans to replicate. AI agents’ advantages in games point to some of their potential in warfare. AI agents in games demonstrate superior precision, speed, coordination, situational awareness, resource management, aggressiveness, and risk-taking when compared to human players. The cumulative effect of these advantages in games is devastating to human opponents. These attributes are also valuable in warfare. AI agents have weaknesses, though. Their performance is often very brittle, and AI agents can struggle to adapt to small rule changes in games. These weaknesses could prove fatal in combat — where there are no rules — and militaries should be mindful of AI systems’ flaws. **Thinking Differently About Strategy** Computer games, such as *StarCraft II* and *Dota 2*, are a valuable testing ground for AI performance. These games pit opposing sides in a battle to control territory and resources, with each player moving units around a digital battlefield to perform reconnaissance, resource collection, and combat. While vastly simpler than the real world, these games are highly complex relative to other games. At any given point in *StarCraft II* there are approximately 1026 actions a player can take. Because some information is hidden, players interact in a dynamic and constantly changing environment with limited knowledge. Computer strategy games also require agents to balance short-term tactics with long-term planning. *Dota 2* has approximately 20,000 time steps in which a player can make a move, much longer than the roughly 80 moves per game in chess or 150 moves per game in *go*. AI agents have excelled in computer strategy games through superior command and control. AI players have access to the same information, resources, and units as human players. Their individual units have the same speed and abilities. Any advantage is due to AI agents’ ability to process information, make decisions, and take actions. AI agents’ victories demonstrate that machines can dramatically outperform humans in command and control, a potential major advantage in war. It’s not just that AI agents are faster — although they are capable of being much faster than even the top professional human gamers. Left unconstrained, AI agents are effectively invincible in small-unit tactics, able to dodge enemy fire in computer games. Even when limited to human speed, AI agents are better at unit tactics. They can also absorb more information simultaneously, rather than having to divide their attention over multiple tasks. They are more precise and avoid wasting valuable actions, time, or resources. AI agents can also attack with greater coordination among multiple units or co-operative agents. OpenAI’s *Dota 2* agents, OpenAI Five, demonstrated many of these attributes. They were able to identify human player attacks and swiftly counter them faster than human players could react, even while operating with a 200-millisecond delay intended to match human reaction times. OpenAI’s agents, which are separate team members controlled by different AI players, were also able to precisely coordinate their attacks, hitting enemy units at the exact right moment and with the exact right amount of damage without wasting resources. Their speed, precision, and coordination led them to particularly excel in team fights, where multiple agents cooperatively fight against several opponents. The bots also played with unusual aggressiveness relative to human players, constantly attacking. One human player said, “It felt like I was pressured at all times in the game.” While the specific algorithms and tactics used for chess, *go*, poker, *StarCraft II*, or *Dota 2* wouldn’t translate to real-world combat, AI’s superhuman speed, awareness, precision, coordination, calculated risk-taking, and aggression could be extremely valuable in combat. Militaries that trained algorithms to take on command-and-control functions could potentially render their competitors demoralized and helpless, just as AI agents have done in computer games. **Increased Speed and Forcing Errors** (See source) **Novel Strategies** (See source) **Conclusion** In gaming environments, some advantages of AI agents are viewed differently than others. Superhuman precision and speed are often viewed as unfair advantages. The fact that Heron Systems’ AI dogfighting agent was able to take gunshots that are banned in training by human pilots could be seen as an unfair advantage. In computer games, programmers have frequently slowed down AI agents’ reaction times to match those of humans. AI agents’ superior strategic abilities, however, are often celebrated, such as their prowess at chess or *go*. In war, militaries may view these benefits differently. War isn’t fair, and superhuman speed and precision that enables better combat performance is likely to be welcomed. Conversely, AI decision-making that is somewhat mysterious, like the unconventional moves that AI agents sometimes make in poker, chess, and *go*, might be harder for militaries to embrace. It is easier for militaries to trust an AI agent whose advantage is clearly identifiable, such as quicker reflexes. Placing faith in an AI agent whose cognition is opaque and whose long-term plan is unknown may be a harder sell. Yet over time as AI systems take on more roles, including in tactical planning and decision-making, military leaders may face the decision on whether to trust an AI system’s recommendation that they don’t fully understand. In settings where AI systems need to cooperate with humans, their alien cognition may be a disadvantage, and AI systems may need to be specifically trained to act like humans. In games such as Diplomacy that require cooperation with human players, AI agents must be specifically trained on human data. AI agents trained through self-play alone will play differently than humans. Finding ways to optimally employ AI systems and combine them with humans in a joint human-machine cognitive system will be a difficult task. AI systems are sometimes characterized in defense projects as being teammates, as if they are another soldier in the squad or a copilot in the cockpit. But human-machine cognitive teams are fundamentally different from human-human teams. Militaries are adding into their warfighting functions an information processing system that can think in ways that are quite alien to human intelligence. Militaries that best learn how to marry human and machine cognition and take advantage of the unusual attributes of how AI systems think will have tremendous advantages. The U.S. military can best gain an edge in the disruptive changes ahead by investing in experimentation, prototyping, and wargaming to explore the unique opportunities and challenges in human-machine teaming.
**David Schwartz: reducing the issue of XRP by 2 times will double the price of the token**Ripple Technical Director David Schwartz launched a discussion about the inverse relationship between the amount of XRP in circulation and their price. Schwartz claims that if there were 50 billion XRP in circulation instead of 100 billion, the price would probably be twice as much. He did not stop there and suggested that reducing the total number of XRP in circulation to extreme values, for example, 20 million, would make the figures hardly imaginable. Then Schwartz unexpectedly compared the ease of understanding the prices of XRP and bitcoin (BTC), noting that it is easier for people to perceive the value of 19 XRP, as opposed to 0.00034 BTC. The technical specialist drew attention to the commission of costly errors when entering the amount in BTC due to their decimal nature. The unit order of XRP, on the contrary, makes token transfers less susceptible to such errors.
gm Lenster fam 🌸 We are excited to announce the launch of our new Snapshot voting feature. Now you can have your say on important community decisions by simply voting from Lenster. If you paste any Snapshot URL, it will turn into an interactive widget where you can vote for a proposal. You can also use it with your Lens follower NFTs by configuring Snapshot strategies 🚀 Vote us below if you like this feature 😉 https://snapshot.org/#/yoginth.eth/proposal/0x9287c40edcd68c362c7c4139fe3489bbaaa27cf4de68be5c218a82d0f252e718
**A hidden message was found in the Apple operating system** **macOS found a hidden document from the creator of bitcoin Satoshi Nakamoto**Blogger and data miner Andy Baio found a hidden PDF file in Apple's macOS operating system authored by bitcoin creator Satoshi Nakamoto. This is reported by the publication AppleInsider. The hidden file is a documentation dedicated to bitcoin. It describes the principle of blockchain and the essence of bitcoin as a unit of account. It is noted that the hidden file can be found on macOS Catalina, released in 2019, and later iterations of Apple's OS. You can do this either using the command line or through the Finder explorer. Nakamoto's letter is used by the system as a sample of documents that the Virtual Scanner II device can create. Why Apple chose this particular file for the demonstration is not reported. The company at the time of publication of the news did not comment on the discovery of Andy Baio.
头盔钱包领取铜和银两个NFT： 1、在头盔钱包设置里面注册一个头盔子域名，然后领取铜的：https://app.starknet.id/braavos 2、领完铜的自动跳转到注册主域名，领银的界面 3、也可以直接https://app.starknet.id/braavosDiscount去注册领取银的不想要铜的，也可以直接领银的
At the core of your heart, you are perfect and pure. No one and nothing can alter that.
Deepest Fish Discovered More Than 5 Miles below the Sea Surface A small, bizarre-looking fish was found more than five miles beneath the sea and is considered the deepest fish ever recorded Scientists exploring a marine trench near Japan were astonished to find a fish in one of the deepest parts of the ocean, at 8,336 meters (about five miles) below the surface. The tadpole-shaped, translucent creature is a type of snailfish, and it’s probably the deepest fish anyone will ever find. “They can’t really go any deeper,” says deep-sea scientist Alan Jamieson of the University of West Australia, who led the team that made the discovery. The previous record holder, a juvenile snailfish seen in the Mariana Trench, was filmed at a depth of 8,178 meters in 2017. Fish withstand the high pressures of extreme depths because of compounds called osmolytes in their cells. Osmolyte concentrations increase at greater depths to ensure that fish cells don’t shrink too much at such bone-crushing pressures, but these compounds reach their maximum concentration at around 8,400 meters. So that’s the theoretical limit of fish physiology. “If anyone does find fish deeper than this, it will not be by much,” Jamieson says. Ichthyologist Prosanta Chakrabarty, curator of fishes at Louisiana State University’s Museum of Natural Science, is impressed that the fish, a species in the genus Pseudoliparis, could survive so far down, where the water pressure is 800 times that of the surface. “At that depth, everything from gas exchange for breathing to nearly every physiological function seems impossible,” he says. “I can barely swim to the bottom of a swimming pool without my ears popping.” Jamieson’s team discovered the snailfish in August 2022 at the bottom of the Izu-Ogasawara Trench, near the main islands of Japan. The team was using crewed and uncrewed underwater vehicles to explore deep ocean trenches, and the Izu-Ogasawara connects in the south to the deepest, the Mariana Trench. The deepest parts of the Japanese trench are slightly warmer than the Mariana, reaching about 1.7 degrees Celsius (35 degrees Fahrenheit), Jamieson says. The warmer water seems to be why the snailfish survive. Osmolytes are less effective at low temperatures, and these snailfish are living near the edge of what’s possible. “The difference is a fraction of a degree, so we wouldn’t care,” Jamieson says. “But it makes a difference to marine animals.” To photograph the fish, researchers onboard the DSSV Pressure Drop sent down a “lander”—an autonomous underwater vehicle equipped with cameras, lights and batteries, along with a weight to carry the contraption to the seafloor. The researchers used landers that carried dead fish as bait; deep-sea crustaceans ate the bait, and the snailfish came to eat the crustaceans. The lander that made the finding photographed a single juvenile snailfish at 8,336 meters. Though the team couldn’t identify the type of snailfish, two others from the species Pseudoliparis belyaevi were caught in baited traps nearby, at a depth of 8,022 meters. More than 400 species of snailfish are known from shallow waters to extreme depths, and each species adapts to where it lives, Jamieson says. “Each trench has its own snailfish in it,” he says. “Once they’ve evolved to cope in a trench, they cannot decompress to get from one trench to another.” In an e-mail to Scientific American, ichthyologist Dahiana Arcila, curator of marine vertebrates at the University of California, San Diego’s Scripps Institution of Oceanography, noted the part played by technology in the discovery. “Rovers and landers [will] gain a deeper understanding of the unexplored regions of our planet's oceans,” she wrote. Source https://www.scientificamerican.com/article/deepest-fish-discovered-more-than-5-miles-below-the-sea-surface/
**What science can tell us about the experience of unexplainable presence** If you’ve ever had the eerie sensation there’s a presence in the room when you were sure you were alone, you may be reluctant to admit it. Perhaps it was a profound experience that you are happy to share with others. Or – more likely – it was something in between the two. *The experience of feeling a presence can be unnerving. Raggedstone/Shutterstock* If you’ve ever had the eerie sensation there’s a presence in the room when you were sure you were alone, you may be reluctant to admit it. Perhaps it was a profound experience that you are happy to share with others. Or – more likely – it was something in between the two. Unless you had an explanation to help you process the experience, most people will struggle to grasp what happened to them. But now research is showing this ethereal experience is something we can understand, using scientific models of the mind, the body, and the relationship between the two. One of the largest studies on the topic was carried out as long ago as 1894. The Society for Psychical Research (SPR) published their Census of Hallucinations, a survey of more than 17,000 people in the UK, US and Europe. The survey aimed to understand how common it was for people to have seemingly impossible visitations that foretold death. The SPR concluded that such experiences happened too often to be down to chance (one in every 43 people that were surveyed). In 1886, the SPR (which numbered former UK prime minister William Gladstone and poet Alfred, Lord Tennyson among its patrons) published Phantasms of the Living. This collection included 701 cases of telepathy, premonitions and other unusual phenomena. For instance, the Reverend P H Newnham, of Devonport in Plymouth, told the story of a visit to New Zealand, where a night-time presence warned him away from joining a boat trip at dawn the next morning. He later learnt that all on the voyage had drowned. At the time, phantasms was criticised for being unscientific. The census was received with less scepticism, but it still suffered from response bias (who would bother responding to such a survey except those with something to say). But such experiences live on in homes across the world, and contemporary science offers ideas for understanding them. **Not such sweet dreams** Many of the accounts SPR collected sound like hypnagogia: hallucinatory experiences that happen on the boundaries of sleep. It has been suggested that several religious experiences recorded in the 19th century have a basis in hypnagogia. Presences have a particularly strong link with sleep paralysis, experienced by around 7% of adults at least once in their life. In sleep paralysis our muscles remain frozen as a hangover from REM sleep, but our mind is active and awake. Studies have suggested more than 50% of people with sleep paralysis report encountering a presence. *When we feel an eerie presence it could just be us. sezer66/Shutterstock* While the Victorian presences documented by the SPR were often benign or comforting, modern examples of presence triggered by sleep paralysis tend to exude malevolence. Societies around the world have their own stories about nighttime presences – from the Portuguese “little friar with the pierced hand” (Fradinho da Mao Furada) who could infiltrate people’s dreams, to the Ogun Oru of the Yoruba people in Nigeria, which was believed to be a product of victims being bewitched. But why would an experience such as paralysis create a feeling of presence? Some researchers have focused on the specific characteristics of waking up in such an unusual situation. Most people find sleep paralysis scary, even without hallucinations. In 2007, sleep researchers J. Allen Cheyne and Todd Girard argued that if we wake paralysed and vulnerable, our instincts would make us feel threatened and our mind fills in the gap. If we are prey, there must be a predator. Another approach is to look at the commonalities between visitations in sleep paralysis and other types of felt presence. Research over the past 25 years has shown presences are not only a regular part of the hypnagogic landscape, but also reported in Parkinson’s disease, psychosis, near-death experiences and bereavement. This suggests that it’s unlikely to be a sleep-specific phenomenon. **Mind-body connection** We know from neurological case studies and brain stimulation experiments that presences can be provoked by bodily cues. For example, in 2006 neurologist Shahar Arzy and colleagues were able to create a “shadow figure” that was experienced by a woman whose brain was being electrically stimulated in the left temporoparietal junction (TPJ). The figure seemed to mirror the woman’s body position – and the TPJ combines information about our senses and our bodies. A series of experiments in 2014 also showed that disrupting people’s sensory expectations seems to induce a feeling of presence in some healthy people. The way the procedure the researchers used works is to trick you into feeling as if you are touching your own back, by synchronising your movements with a robot directly behind you. Our brains make sense of the synchronisation by inferring that we are producing that sensation. Then, when that synchronisation is disrupted – by making the robot touches slightly out of sync – people can suddenly feel like another person is present: a ghost in the machine. Changing the sensory expectations of the situation induces something like a hallucination. That logic could also apply to a situation like sleep paralysis. All our usual information about our bodies and senses is disrupted in that context, so it’s perhaps no surprise that we may feel like there is something “other” there with us. We might feel like it’s another presence, but really, it’s us. In my own research in 2022, I tried to trace the similarities in presences from clinical accounts, spiritual practice and endurance sports (which are well known for producing a range of hallucinatory phenomena, including presence). In all of these situations, many aspects of the feeling of a presence were very similar: for example, the subject felt that the presence was directly behind them. Sleep-related presences were described by all three groups, but so were presences driven by emotional factors, such as grief and bereavement. Despite its century-old origins, the science of felt presence has really only just begun. In the end, scientific research may give us one over-arching explanation, or we may need several theories to account for all these examples of presence. But the encounters people described in Phantasms of the Living aren’t phantoms of a bygone age. If you’re yet to have this unsettling experience, you probably know someone who has. Source https://theconversation.com/what-science-can-tell-us-about-the-experience-of-unexplainable-presence-201323
What will Bitcoin be worth 136 years from now? And what is your guess? 😉
Still not sure if UBI is easy to finance on a large scale
𝙈𝙤𝙧𝙣𝙞𝙣𝙜 𝘽𝙧𝙞𝙚𝙛 – 𝟬𝟱 𝘼𝙥𝙧𝙞𝙡 𝟮𝟬𝟮𝟯 Good morning, NZDUSD☝️ 1. NZD outperforms other G10 currencies after hawkish surprise from New Zealand's central bank (Reserve Bank of New Zealand). The RBNZ raised the official cash rate by 50bb to 5.25%, while the market had expected a 25bb rate hike. 2. The RBNZ also noted that further rate increases are needed to achieve the 1-3% inflation target 3. RBA Governor Lowe said yesterday's decision to leave rates unchanged did not mean Australia's rate hike cycle was over and further rate tightening may be needed 4.China has announced that it will hold naval exercises in the Taiwan Strait in response to Taiwan's president's meeting with US officials in the United States 5. US rates will need to be raised above 5% and kept there for some time to help reduce inflation, says Fed's Mester 6. Australian services PMI fell to 48.6 from 50.7 in March (48.2 expected) 7. Central banks still seem committed to further rate increases. As mentioned in yesterday’s morning brief, the ECB’s Robert Holzmann thinks that rates in Europe might well go another 0.50% higher in May (current ECB refinancing rate: 3.50%). 8. The 10-year US yield retreated to 3.30% as the market's chances of a Fed rate hike continued to decline. Money markets are now split 50-50 between a 25bp rate hike and no change at the May meeting.
Today marks the 50th anniversary of the first-ever cell phone call 🎉 Motorola engineer Martin Cooper made the world's first cell phone call exactly 50 years ago on April 3, 1973. He stood on the corner of Sixth Avenue in New York City with a large, cream-colored device in his hand, which he used to call his colleague at rival Bell Laboratories to solemnly announce that he was calling from a "personal handheld pocket cell phone. Cooper's first call was made from a prototype, which some 10 years later evolved into the first certified cell phone called the DynaTAC 8000X. The handset weighed about 800 g and measured 22.5 × 12.5 × 3.75 cm, not including the antenna. At the time of its release, only well-to-do people could afford to buy the first cell phone, because the price of the DynaTAC 8000X was about $11,700. Today we are grateful to Martin Cooper and other technical geniuses who contributed to the development of mobile communications. These people changed our lives for the better, and we can only remember with gratitude the day when the first cell phone call was made.
**Internet Computer Issues ‘Liquid Bitcoin,’ for Faster and Affordable BTC Transactions**ckBTC brings layer-2 capabilities to Bitcoin, providing faster and cheaper transactions on the Internet Computer network, while also ensuring greater security and decentralization than other BTC-pegged tokens. via CoinDesk The Dfinity Foundation, a significant contributor to the development of the Internet Computer network, on Monday issued ckBTC — a liquid and cost-efficient “twin” token that is backed on a 1:1 basis with bitcoin (BTC). The development brings layer-2 capabilities to bitcoin, making it faster and cheaper to transact without compromising security. Layer 2s refer to a secondary framework or protocol that is built on top of an existing blockchain system. By integrating directly with the Bitcoin network, ckBTC can be used on decentralized finance (DeFi) applications on supported networks without relying on centralized bridging services, which are a major security concern in the broader crypto ecosystem. “ckBTC means low transaction fees, speed, and, most importantly, no bridges,” said Dominic Williams, founder at Dfinity, in a note to CoinDesk. “This is a milestone in the Bitcoin journey, and the Dfinity Foundation is excited to see how projects building on the Internet Computer blockchain implement ckBTC and explore novel use cases.” However, while bitcoin integration unlocks a plethora of opportunities, it also inherits the slow and expensive transaction times associated with the Bitcoin network. To combat this, Internet Computer has set fees on Liquid Bitcoin to just 0.0000001 ckBTC, or a few cents, at a value significantly lower than Bitcoin network fees. Unlike wrapped tokens, controlled by a centralized entity, ckBTC uses canisters — smart contracts for asset transfers — and does not require intermediaries or risky cross-chain bridges.Users deposit real bitcoin to their deposit address and receive an equal amount of ckBTC. Similarly, users can return ckBTC tokens to receive an equal amount of real bitcoin at a specified bitcoin address. In February, Bitcoin network activity surged to a two-year high thanks to the popularity of the recently deployed Ordinals protocol — which allows non-fungible tokens (NFT) to be stored on-chain. Bitcoin layer 2 protocols such as Stacks have since surged – with STX tokens becoming one of the best performers in March, suggesting demand for similar protocols.
Anyone who desires to be better can do so by simply improving the quality of the thoughts which they tolerate and imbibe in their minds. Your life is as good as your mindset.
Dear Lens fam, what is the Future of Social for you? At t2, we believe the future social networks should revolve around our values, not just what grabs our attention. We want to foster meaningful connections with others, share what helps us achieve our goals, and enjoy articles that empower us. We have witnessed how the Lens community celebrates genuine creativity and friendship. We believe our values and mission align closely with those of the Lens community. So, we are excited to bring a new type of writing and reading platform to @lensprotocol, starting with our manifesto. manifesto.t2.world ⏳ If you are on board with this vision, **sign the Manifesto** with your value propositions and complete all steps. You will receive a personalised card to showcase your values and **early access to the t2 alpha product**. **If you are a writer, follow us and comment below with your favourite piece of writing by you. We will follow back!**
Gm. Start First Day . 🌱
by **tromplier** *unusual in the usual*
Lensters, what is your default setting for your feed? Do you show Mirrors? Do you get relevant content from mirrors or not? Feedback needed : )
Massive news today: Shanghai Upgrade date confirmed 📆 ⚡️ • 16.5M ETH has been staked so far (~30B USD) • 25% solo stakers. 30% LIDO. 12% Coinbase. • Date: 12 April, 2023 🧵 Thread: How do ETH withdrawals work? Who are the stakers? Can all of this affect ETH price? 1/11 • What is the Shangai Upgrade? The road so far As you know, with The Merge ETH migrated from POW to POS. In POS, ETH is staked to secure the network. People have been staking ETH since December 2020. 2/11 • What is the Shangai Upgrade? The road so far Up until now, stake ETH was one-way. Stakers could not withdraw it. However, LSD solutions such as Lido appeared and allowed people to mint tokens such as stETH which are close to 1:1 trading, enabling staked ETH liquidity. 3/11 • What is the Shangai Upgrade? The Ethereum network is set to upgrade in Apr 12th 2023. The upgrade will bring changes to the network, including the ability to withdraw staked ETH, worth 30B USD. Not all ETH would be able to be withdrawn at once. 4/11 • Who are the stakers? Lido: 29% Solo stakers: 25% Coinbase: 12% Kraken: 7.5% Binance: 6.1% Others: 20.4% 5/11 • How much ETH will be withdrawn? Not all 15M ETH can be withdrawn at once. There is a queue for validators to gradually unlock it. There are two types of withdrawals, partial and full. 6/11 • Withdrawal types 1. Partial: only interests out, not capital (staked ETH). Maximum amount of ETH possible to be taken is 1M or 1.6B USD 2. Full: interests + capital. Rate limited to only 54,000 ETH/day (7 validators/epoch. 225 epochs/day) | (24*60)/6.4*7*32 = 54,000 7/11 • Sell pressure With 50,400 max ETH withdrawable per day, that's 80M maximum potential sell pressure daily. Last 24hs ETH trading volume was 9B according to CoinGecko. 80M is less than 1% ETH's last 24hs trading volume. 8/11 • LSD = Liquid Staking Derivatives We also need to consider that ~57% of ETH stakers have liquid access to their ETH thanks to solutions like Lido or Rocketpool. So these people could have sold long ago, they did not have to wait until April 12 like the other 43% 9/11 • ETH issuance in POW? Before The Merge, block reward was 2.2 ETH per block. At an AVG rate of 15 seconds/block, that is around 11,500 ETH per day. 10/11 Some of the information from this thread was taken from this report by Binance Research: 🔗 https://research.binance.com/en/analysis/ethereum-shanghai-upgrade And Dune: 🔗 https://dune.com/hildobby/eth2-staking 11/11 Final thoughts on Shanghai • The Shanghai Upgrade is a crucial step in the development of the Ethereum network. • It might cause some price movement in the short term, but for me it is bullish for the ecosystem long term. ETH has been deflationary in the last 7 days. Join Alpha Discord: https://earndrop.io/discord
Massive news today: Shanghai Upgrade date confirmed 📆 ⚡️ • 16.5M ETH has been staked so far (~30B USD) • 25% solo stakers. 30% LIDO. 12% Coinbase. • Date: 12 April, 2023 🧵 Thread: How do ETH withdrawals work? Who are the stakers? Can all of this affect ETH price? 1/11 • What is the Shangai Upgrade? The road so far As you know, with The Merge ETH migrated from POW to POS. In POS, ETH is staked to secure the network. People have been staking ETH since December 2020. 2/11 • What is the Shangai Upgrade? The road so far Up until now, stake ETH was one-way. Stakers could not withdraw it. However, LSD solutions such as Lido appeared and allowed people to mint tokens such as stETH which are close to 1:1 trading, enabling staked ETH liquidity. 3/11 • What is the Shangai Upgrade? The Ethereum network is set to upgrade in Apr 12th 2023. The upgrade will bring changes to the network, including the ability to withdraw staked ETH, worth 30B USD. Not all ETH would be able to be withdrawn at once. 4/11 • Who are the stakers? Lido: 29% Solo stakers: 25% Coinbase: 12% Kraken: 7.5% Binance: 6.1% Others: 20.4% 5/11 • How much ETH will be withdrawn? Not all 15M ETH can be withdrawn at once. There is a queue for validators to gradually unlock it. There are two types of withdrawals, partial and full. 6/11 • Withdrawal types 1. Partial: only interests out, not capital (staked ETH). Maximum amount of ETH possible to be taken is 1M or 1.6B USD 2. Full: interests + capital. Rate limited to only 54,000 ETH/day (7 validators/epoch. 225 epochs/day) | (24*60)/6.4*7*32 = 54,000 7/11 • Sell pressure With 50,400 max ETH withdrawable per day, that's 80M maximum potential sell pressure daily. Last 24hs ETH trading volume was 9B according to CoinGecko. 80M is less than 1% ETH's last 24hs trading volume. 8/11 • LSD = Liquid Staking Derivatives We also need to consider that ~57% of ETH stakers have liquid access to their ETH thanks to solutions like Lido or Rocketpool. So these people could have sold long ago, they did not have to wait until April 12 like the other 43% 9/11 • ETH issuance in POW? Before The Merge, block reward was 2.2 ETH per block. At an AVG rate of 15 seconds/block, that is around 11,500 ETH per day. 10/11 Some of the information from this thread was taken from this report by Binance Research: 🔗 https://research.binance.com/en/analysis/ethereum-shanghai-upgrade And Dune: 🔗 https://dune.com/hildobby/eth2-staking 11/11 Final thoughts on Shanghai • The Shanghai Upgrade is a crucial step in the development of the Ethereum network. • It might cause some price movement in the short term, but for me it is bullish for the ecosystem long term. ETH has been deflationary in the last 7 days. Join Alpha Discord: https://earndrop.io/discord
Lensters, what is your default setting for your feed? Do you show Mirrors? Do you get relevant content from mirrors or not? Feedback needed : )
https://snapshot.org/#/arbitrumfoundation.eth/proposal/0x3be7368a662d1cf12fa4da768d626edbc013be0dc7b994fef2e24d9a54e4033a ARB治理
**Neuralink in Pursuit of Clinical Trials Partner: A Glimpse into the Future of Brain Implants** *Photo by Cash Macanaya on Unsplash* Elon Musk’s brain implant company, Neuralink, has been in talks with Barrow Neurological Institute as a potential partner for clinical trials. The Arizona-based institute specializes in the treatment and research of neurological diseases and has been approached to help carry out human trials on Neuralink’s revolutionary brain implants. The company has been working on developing this technology since 2016 with the goal of curing intractable conditions like paralysis and blindness. **FDA Rejection and Safety Concerns** However, Neuralink faced a significant setback when the FDA rejected its application to progress to human trials in early 2022, citing major safety concerns. Since then, the company has been working diligently to address these concerns, but it remains uncertain whether or not they will be successful in meeting the agency’s requirements. **Partner with Barrow** Francisco Ponce, the director of Barrow’s Center for Neuromodulation and Neurosurgery Residency Program, acknowledged that Barrow has helped standardize brain implant surgeries in which the patient can remain asleep, a key step in making it more acceptable to a broad set of the population. Although Ponce declined to comment on Neuralink specifically, he noted that Barrow is well-positioned to conduct such implant research due to its long track record in the field. **The Future of Brain Computer Interface (BCI) Devices** Neuralink’s brain implant is a BCI device that uses electrodes to provide direct communication to computers. Currently, no company has received FDA approval to bring a BCI implant to the market yet. However, Musk’s vision for Neuralink’s brain chip is that it will become as ubiquitous as Lasik eye surgery. Although the company faces significant regulatory hurdles, its partnerships with leading neurosurgery centers like Barrow are an encouraging sign that progress is being made towards making the technology a reality. **Impact on Education** The successful development of Neuralink’s brain implants could have a significant impact on education. Students with disabilities like paralysis or blindness could potentially benefit from this technology, as it could allow them to communicate more effectively and participate more fully in the classroom. The technology could also provide opportunities for new forms of learning, such as direct brain-to-computer communication, which could revolutionize education as we know it. **Final Thoughts** While the potential applications of Neuralink’s brain implants are undoubtedly exciting, there are also valid concerns about their safety and ethical implications. The company has faced probes into its practices, including potential animal welfare violations and mishandling of hazardous pathogens during animal trials. Additionally, the use of brain implants raises questions about privacy and the potential for exploitation by individuals or organizations. As with any emerging technology, it’s essential to consider the potential risks and benefits carefully. While the future of brain computer interface devices is promising, it’s crucial to approach their development and implementation with caution and careful consideration of all potential impacts. Let me know if you would use NeuroLink. (с) Pyry Pajunen
Last Mile DeFi 03: Education as a catalyzer of mass adoption with Camila Ramos gm! On episode 03 of Last Mile DeFi, we speak with Camila Ramos where we explore Cami's journey towards becoming a developer, the importance of equitable access to education, and why Cami is driven by leveraging crypto rails to deliver financial freedom. Born in Colombia, and brought up in California, Cami’s journey towards becoming a developer began at an early age when she took an hour-long coding course in high school. At the same time, she also saw the inequity in accessing computer science education for black and latino students at her high school. This then kicked off her journey towards unlocking more educational opportunities for underrepresented communities through her writing and content she produces. Cami’s north star is led by bringing crypto to those who need it most, particularly those in the global south. She sees an opportunity for crypto to provide enhanced financial infrastructure and drive more prosperity for Latin Americans, rather than seemingly futile applications that often times get a lot of attention in mainstream crypto that don’t provide practical use-cases for whose who have most to benefit most from crypto - points she discusses in her piece “The Deadend of Eurocentric Crypto”. This year Cami is focused on not only researching where crypto’s key intervention points lie, but also working towards building and implementing real solutions that drastically enhance people’s lives. We also explored what real world adoption Cami has seen to date in Latin America and why she believes particular use-cases have taken off in the region and what we can do to nurture more adoption through creating better-designed user flows. One of the most interesting points of conversation is where we explore the questions around whether it is the job of incumbent crypto players to expand into the LatAm region or whether we could see more home-grown projects emerge locally. Learn more and listen: https://marcus.mirror.xyz/L5hJG_U1DRmsicPY5xano_s40IX4j_vBd6_0Mqug_N8
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Should Lens be on its own network or rollup?
Daily update for my trip photo. This is the first photo I took after arriving in Dali, the Erhai Lake and the sunrise in the early morning. If you got a chance to visit Dali, don't miss this.
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The Alexandrian Lighthouse, also known as the Pharos of Alexandria, was one of the most iconic structures of the ancient world. Located in the city of Alexandria, Egypt, it was built in the 3rd century BC during the reign of Ptolemy II Philadelphus, and stood at a height of over 100 meters (328 feet). The lighthouse was constructed on the island of Pharos, which was connected to the mainland by a causeway. It was designed by the architect Sostratus of Cnidus, and was said to be adorned with statues and other decorations. The lighthouse was also a functioning beacon, using fire at night and reflecting mirrors during the day to guide ships into the port of Alexandria. According to historical accounts, the Alexandrian Lighthouse was considered one of the Seven Wonders of the Ancient World. Its construction and engineering were groundbreaking for its time, and it served as a symbol of the city's wealth and power. Despite its impressive stature, the lighthouse did not survive the test of time. In the 14th century, it was damaged by a series of earthquakes, and by the 15th century it had collapsed entirely. Today, only the base of the structure remains visible in the waters off the coast of Alexandria. Despite its disappearance, the Alexandrian Lighthouse remains a testament to the ingenuity and creativity of ancient civilizations. Its legacy lives on in the modern world, inspiring awe and wonder in those who hear its story.
Zksync 生态项目 syncswap 在dapp上投票https://thedapplist.com/curate/project/QmQeVtAAHiRQe5fhZ5hW3E21QHhqKomjrgA8AwS2REF9rE