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NASA and SpaceX have both been hit with setbacks this month. Astrobotic Technology, a Pittsburgh-based company with a $108 million contract from NASA, has abandoned plans for a soft landing on the moon with its Peregrine Mission One lunar lander after the lander experienced critical propellant loss due to a fuel leak shortly after liftoff, making the scheduled moon landing on Feb. 23 impossible. This setback is a disappointment for NASA's Commercial Lunar Payload Services program, which aims to reduce the cost of lunar lander development and comes at a time when NASA is facing delays in returning astronauts to the moon. At the same time, SpaceX has been forced to scrub its launch of a Falcon 9 rocket from Cape Canaveral Space Force Station due to weather concerns. The Falcon 9 is being launched to deploy a batch of 23 Starlink internet satellites. In addition, SpaceX lost its last Starship after it exploded in midair due to what founder Elon Musk said was the venting of extraneous liquid oxygen. SpaceX’s massive, reusable Starship rocket conducted two test flights in 2023, the first in April and a second in November, and company representatives now say the third such mission could come as soon as Feb. 2024. These incidents demonstrate that even in 2024, mankind’s effort to conquer space through space technology is still wrought with difficulties and challenges. They serve as poignant reminders of the formidable technical and logistical challenges involved in everything from launches to lunar landings. Despite the tremendous progress made in space exploration, rocket launches and lunar missions continue to demand meticulous planning, cutting-edge technology, and unwavering precision to ensure a safe and successful journey to the moon's surface. The legacy of the Apollo program lives on as a testament to human ingenuity and determination, inspiring future generations to tackle the ongoing complexities of lunar exploration. Landing humans on the moon during NASA's Apollo program in the late 60s and 70s was a remarkable feat, especially considering that the computers used at the time possessed significantly less processing power than our smartphones. Despite the advancements in technology over the past five decades, successfully launching rockets as well as landing on the moon remains an extraordinarily challenging endeavor. In recent years, several notable missions have underscored the difficulty of lunar landings. One such example is Israel's Beresheet spacecraft, which unfortunately crashed into the ancient lunar volcanic field known as the Sea of Serenity in 2019. Similarly, in the following year, Russia's Luna-25 mission and a commercial Japanese lander named Hakuto-R also met with unfortunate outcomes as they collided with the moon's unforgiving surface. It is worth noting, however, that India recently celebrated a significant achievement by becoming the fourth country to successfully land a spacecraft on the moon. Now, Astrobotic is the latest private entity to have failed in a soft landing. NASA’s overall goal is to seed a commercial lunar economy and reduce its own overhead costs. Several private companies have decided to enter the fray and all of them are competing as well as cooperating to provide the next generation of tourism and commercial vehicles that will be used in space. When SpaceX transports Starship to the launchpad later this year for its third trial, a crucial aspect of testing will involve assessing the spacecraft's capability to transfer super-chilled rocket fuel while in space. NASA has placed its reliance on SpaceX to transport astronauts to the lunar surface as part of the Artemis III and IV moon missions, for which SpaceX holds a $4.2 billion contract. To achieve this mission, SpaceX must first master the complex process of refueling a Starship while it is in low-Earth orbit, subsequent to its initial launch from Earth. This challenging procedure is referred to as "cryogenic propellant transfer" and has never been attempted before in the conditions of microgravity. During SpaceX’s media teleconference last week, this topic was discussed as well. In 2021, NASA selected Starship as its crewed lander for Artemis 3 — the vehicle that will carry two astronauts to the surface of the moon and then back up to lunar orbit once their stay is complete. But because rockets and spacecraft burn through most of their fuel while escaping Earth's deep gravity well, a massive vehicle like Starship would need to be refueled in orbit before continuing to the moon. The efforts by NASA and SpaceX to achieve perfection is laudable as we seek to extend our influence beyond the bonds of Earth and establish a human presence on the Moon and eventually Mars. Every failure only brings us closer to success.

Space Exploration is Challenging but the Rewards are Immeasurable

157 Stories To Learn About Meet The Writer

Let's learn about via these 48 free stories. They are ordered by most time reading created on HackerNoon. Visit the to find the most read stories about any technology. Algorithmic Trading /Learn Repo 1. In A World of Rigid Opinions and Rules, Be As Fluid As Water Why the blockchain and cryptocurrency revolution is something to be embraced. 2. How I Built A Million Dollar Algo-Trading Strategy Then Lost It All How to build a million dollar algorithmic strategy trading bitcoin and then lose it all. 3. From Inside a Hedge Fund: Revelations From Insiders Here we have collected some interesting facts about what is happening in hedge funds based on open sources. 4. 5 Best Stock Market APIs: A Guide for Data Scientists & Algorithmic Traders Best stock market data APIs for data scientists and algorithmic traders: Alpha Vantage, Barchart OnDemand, Tradier, Intrinio, and Xignite. 5. Why a Quant Chooses to Work on Algorithms Instead of Startups Meet the Writer: Hacker Noon's Contributor Peregrine Buckler, Quant @ Dune Capital, I use math’s amongst other things to spot patterns in financial markets. 6. With Enough Data, You Can Predict Asset Price Movement With “enough data” asset prices, as with the weather, can be predicted with a high degree of accuracy. 7. Top 5 Ready-Made Algorithmic Trading Robots in MQL5 Learn about the best ready-made Algorithmic Trading Robots in MQL5 and use them to profit from your algorithmic trading business. 8. We Built a Crypto Trading Algo Based on AI Sentiment Analysis Introducing an AI-powered Algo trading platform on the blockchain. 9. The Ethical Implications with Algorithmic Trading Between the 2000 dot.com boom and bust and the "Big Short" of the 2008 credit crunch, we heeded the wisdom of the legendary traders of the 20th century - guys like Jesse Livermore (1920s) and Paul Tudor Jones (1970s). The wisdom was to be dispassionate (no emotion) and trade methodically (like a robot) - executing trades mechanistically every time. Of course, for the previous generation of traders, the rise of the PC and internet and exchange APIs meant that much of this "mechanistic" work could be automated. Most of the technical and methodical signals can be algorithmically determined and acted upon. The trader is merely the strategist and commander who decides when which algorithm (trading method) should be applied. 10. The Best Data Science Applications and Tools to Manage a Quantitative Hedge Fund Some essential data science practices and tools to implement in a hedge fund and start driving on the road toward profitability 11. Using Monte Carlo Simulation for Algorithmic Trading Monte Carlo Simulation is a statistical technique that injects randomness into a dataset to create probability distributions. 12. Converting Your Raspberry Pi Into a Crypto Trading Bot What's not to love about your Pi? It's a serious piece of kit, and it's cheap! But… can it make you money? 13. Building Efficient Crypto Trading Software With Python Learn about building efficient trading software principles, such as event-driven approach, microservices, and asynchronous programming. 14. How To Trade within TradingView with Alpaca Nothing goes better with algorithmic trading than tons of data. That's why we're delighted to announce our integration with TradingView to give you deep insights into markets, stocks, etc, all while seamlessly using Alpaca's commission-free API trading platform. 15. The Evolution and Future of AI in the Stock Market AI-powered trading holds several advantages over its algorithm-only predecessors. An AI-powered system can make decisions based on rich data in real-time. 16. How To Get Started Doing Fast Backtesting Using Algo Trading Tools No one would want to risk a big amount of capital in a program that is not vetted. Thankfully we don’t have to, since there are plenty of platforms that we can 17. Trading Strategy: Understanding the Trader's Winning Methods Are you interested in online trading and want to invest in stocks to make money? Here are the best trading strategies explained in detail. 18. How to Build an Algorithmic Crypto Trading Bot in 6 Steps Create a fully scalable algorithmic crypto trading bot that can execute in your sleep. The strategy that will use is based on the popular Supertrend indicator. 19. How Traders Can Use Divergences to Their Advantage with Cleo's Automation Platform A complete guide on the types of divergences, how to identify and use them, and how to integrate them into your trading system automatically via cleo.finance. 20. Bot Creator Dembots in the Spotlight Demian is a bot creator for bots. He creates algorithmic trading strategies for all BOTS users to use. Today he explains how and why he does this. 21. Best Automated Trading Solutions for Crypto Best Automated Trading Solutions for Crypto 22. Technological Shifts in Forex Trading Systems: A Spotlight on Algorithmic Advances Thanks to technological advancements, the Forex exchange market has come a long way. Robotics and AI have made the process of data analysis simpler than we imagine. From the best algorithmic Forex robots to Forex indicators and diligent Forex signals services, almost every aspect in the space of Forex is evolving with groundbreaking advancements. 23. Using Python to Download Historical Cryptocurrency Price Data from CoinGecko See how to download historical cryptocurrency price data from Coingecko with Python 24. Cybersecurity in Crypto Trading: Everything You Need to Know Cybersecurity is one of the world’s most pressing concerns at the moment. State departments, major corporations, healthcare providers, universities, and manufacturing facilities have all been hit hard by cybercrime actors. 25. Investing in Optimism: Exploring The Ways to Invest as Markets Rally on Hope of Covid Vaccine Disclaimer: Trading and investing involves risk. This is not an endorsement to invest in stocks and companies or trade via platforms mentioned in this article. Trade at your own risk. 26. How to Earn Profit on Crowd-sourced Automated Trading Communities 27. Battle of the Automatic Trade Signal Execution Architectures: 3Commas, Alertatron, Plurex You want Automatic Execution that suits the needs of your Trading Bot. A comparison of 3Commas, Alertatron and Plurex architectures and their pros and cons. 28. Here's Why We Built An Open-Source Goldmine of Crypto-Markets Datasets How to run a distributed data-mining operation to source and process crypto market data at zero cost. 29. WTF is a Grid Trading Bot? Grid trading profits in a fluctuated market. Here are 9 reasons from an experienced trader who has used GRID Bot for more than 18 months. 30. The Ultimate Guide to High-Frequency Trading (HFT) In this guide, we are going to explore High-Frequency Trading (HFT) and HFT Software and explain the details you need to know about this form of trading. 31. The Ultimate Guide To Successful Algorithmic Trading Photo From UnSplash 32. POC Bot Selling Feature #9: Auto-Withdraw Realized PNL Take Profit Lol with me if you can find the spelling mistake embedded in my code? :D 33. How To Create Your Customized Trading Signal Alerts Trading signals are an easy way to monitor the markets without monitoring the markets. Instead of following someone else’s – create your own. Become a better trader while enjoying life and never miss a move on as many trading pairs as you want to follow. 34. Arbitrage as a Shortest-Path Problem An explanation of arbitrage and a look at an efficient algorithm to find riskless instantaneous arbitrage opportunities across markets. 35. How I Made a 65% ROI with this Boeing Trading Algorithm Since the market crashed in March of 2020 the rebound has been swift and irrational. 36. Does the World Need a Cryptocurrency Robo Advisor? What is a Robo Advisor? 37. How to Optimize Cloud Testing: 6 Main Challenges 38. 3 Trends of the Neural Network Usage for Algorithmic Trading Developers of AI systems can create complex algorithms for a wide range of use cases, including in investing and trading. 39. Why Algos for Retail Investors Will Finally Democratize Investing in 2020 Technology has revolutionized trading for individual investors in the early part of this century, from online trading tools to robo-advisors, to the rise of crypto and fintech applications. 40. Define and Backtest Crypto Algo Trading Strategies With Bitfinex Honey Framework Toolkit The most sophisticated trading toolkit developed by Bitfinex, though, is Honey Framework with many useful packages such as bfx-hf-ui, bfx-hf-strategy, bfx-hf-in 41. What You Should Know to Win at Algorithmic Trading Among all the trading techniques, one of the most popular and sophisticated is algorithmic trading. 42. Switching From Manual to Automated Crypto-Trading in 3 Steps Trading crypto manually sucks and you know it. Stop wasting your potential and make the transition once and for good. Here is how… 43. PRIA WARS: Attack of the DeFi Clones PRIA’s (short) History 44. Dollar Stop Losses Vs. Volatility Stop Losses: Algorithmic Trading Tips I remember when I first got into trading and algo trading.  Everything was a mystery: 45. Trading Cup and Handles With MarketSmith Pattern Recognition The Cup With Handle pattern, developed by William O’Neil, is a technical indicator for identifying the continuation of a trend after a period of consolidation. 46. Developing Your Own Trading System: A Step by Step Logical Guide Laying out a rational framework for developing your trading system by dissecting trading logic, step by step. 47. Is Buy and Hold Really the Best Strategy in Crypto? There are a lot of these proverbs that get thrown around the trading community like “cut your losses short, let your winners run”, “buy the dip”, “never add to a losing trade”, “don’t try to catch a falling knife” etc. Yes, intuitively they sound about right, but how much truth there really is behind them? [48. Bull And Bear Regime Trading - How To Algo Trade With Trends Without Getting Run Over By Them!](https://hackernoon.com/bull-and-bear-regime-trading-how-to-algo-trade-with-trends-without-getting-run-over-by-them-mu123z1s) My wife Amy and I have different philosophies when it comes to parties. If the host says the party is from 6:00 PM to 11:00 PM, I like to be there at 6, and leave before 11. Amy, on the other hand, has no problem arriving at 7, and staying until midnight. Thank you for checking out the 48 most read stories about Algorithmic Trading on HackerNoon. to find the most read stories about any technology. Visit the /Learn Repo

48 Stories To Learn About Algorithmic Trading

ON NOVELS AND THE ART OF WRITING THEM.

CASTLE RICHMOND—BROWN, JONES, AND ROBINSON—NORTH AMERICA—ORLEY FARM.

THE GENERAL POST OFFICE.1834-1841.

Open AI reply to amended complaint Court Filing Kandis A. Westmore, November 3, 2023 is part of . You can jump to any part in this filing . This is part 12 of 13. HackerNoon’s Legal PDF Series here II. ARGUMENT G. Plaintiffs Fail to State a Claim for Negligence Plaintiffs have not adequately pled that OpenAI owe them any duty of care, as they would need to in order to state a claim for negligence. In their Opposition, Plaintiffs contend that OpenAI’s duty arises from Plaintiffs’ open source licenses and their unspecified “special relationship.” (Opp. at 24-25.) Neither is true under the circumstances here. Plaintiffs’ argument that “a duty may arise out of a contract” (id. at 24) ignores subsequent California case law that imposed an independent-duty requirement for tort claims predicated on a breach of contract. Plaintiffs’ cited authority is inapplicable. Plaintiff cites 6 Witkin, Summary of Cal. Law (11th ed. 2017) Torts, § 1201, which relies on Eads v. Marks, 39 Cal. 2d 807, 811-12 (1952) (where the California Supreme Court recognized a tort cause of action based on negligent failure to perform contractual duties), but recent decisions raise serious doubts about the viability of Eads. See Peregrine Pharms., Inc. v. Clinical Supplies Mgmt., Inc., No. SACV 12-1608 JGB (ANx), 2015 WL 13309286, at *8 n.11 (C.D. Cal. June 22, 2015) (observing that “the continued relevance of Eads is somewhat questionable”); Britz Fertilizers, Inc. v. Bayer Corp., No. 1:07-cv-00846-OWW-SMS, 2008 WL 341628, at *11 (E.D. Cal. Feb. 5, 2008) (determining that “Eads has been refuted by later California case law that establishes the independent duty requirement”). In Britz, the court highlighted three later-decided California Supreme Court cases that held “conduct amounting to a breach of contract only becomes tortious when it also violates a duty independent of the contract arising from principles of tort law.” See 2008 WL 13309286, at *7-9 (citing Aas v. Super. Ct., 24 Cal. 4th 627 (2000); Elrich v. Menezes, 21 Cal. 4th 543 (1999); and Freeman & Mills, Inc. v. Belcher Oil Co., 11 Cal. 4th 85 (1995)). Likewise, Plaintiffs cite Buxbom v. Smith, 23 Cal. 2d 535 (1944), but there the court did not hold that a breach of contract could support a finding of duty. See Buxbom at 548. Because Plaintiffs did not allege an independent duty distinct from any obligations under the open source licenses, they fail to state a claim for negligence. (See Opp. at 24.) Further, Plaintiffs have neither cited authority for finding a special relationship under these circumstances, nor plausibly alleged that the balance of the six factors they cite in their brief supports such a relationship. (See id. at 24-25 (citing Vera Mona, LLC v. Dynasty Grp. USA LLC, No. EDCV 20-2615 JGB (KKx), 2021 WL 3623297, at *4 (C.D. Cal. Apr. 15, 2021) (courts look to six factors to determine whether a special relationship exists: “(1) the extent to which the transaction was intended to affect the plaintiff, (2) the foreseeability of harm to the plaintiff, (3) the degree of certainty that the plaintiff suffered injury, (4) the closeness of the connection between the defendant’s conduct and the injury suffered, (5) the moral blame attached to the defendant's conduct and (6) the policy of preventing future harm”)).) These factors do not support any “special relationship” based on OpenAI’s alleged use of Plaintiffs’ code for training AI. The open source nature of Plaintiffs’ code makes it unlikely that this use was intended to affect Plaintiffs, or that it was foreseeable and certain that Plaintiffs would suffer injury. Indeed, the purpose of open source is to make code publicly accessible for anyone to use and modify, as well as foster collaboration. Moreover, Plaintiffs have not cited any authority finding that using publicly available data to train and develop generative AI products is morally wrong or violates a public policy preventing such use. (See Opp. at 25.) Plaintiffs primarily argue that “to the extent Copilot generates a duty because it hosts Plaintiffs’ open source code,” that would also extend to OpenAI because Copilot is alleged to be a joint venture between GitHub and OpenAI. (Opp. at 25.) But Plaintiffs cite no cases supporting their argument that entering into a business relationship with a separate entity that hosts publicly available code somehow creates a duty to Plaintiffs. The three cases that Plaintiffs do cite are inapposite. In Witriol v. LexisNexis Group, the court ruled that plaintiffs adequately pled the duty element of negligence by alleging that “[a]s custodians of the Representative Plaintiff’s and the Class Members’ personal and confidential information,” defendants owed a duty to prevent unauthorized access to private and sensitive data. No. 05-CV-02392 MJJ, 2006 WL 4725713, at *1, 8 (N.D. Cal. Feb. 10, 2006) (emphasis added). Similarly, Bass v. Facebook, Inc. held that Facebook owed its users a duty of care because “some of the information [published on Facebook] was private.” 394 F. Supp. 3d 1024, 1039 (N.D. Cal. 2019). Neither case supports finding a duty where an entity merely “possess[es]” publicly available data of individuals with whom they lack any relationship. (See Opp. at 25.) Likewise, in In re Sony Gaming Networks & Customer Data Security Breach Litigation, the court found that defendant owed a “legal duty to safeguard consumer’s confidential information entrusted to a commercial entity.” 996 F. Supp. 2d at 955, 966 (S.D. Cal. 2014) (emphasis added). That is not the case here. Because Plaintiffs’ code is available to the public, no similar duty exists. This claim should be dismissed. Continue Reading . Here About HackerNoon Legal PDF Series: We bring you the most important technical and insightful public domain court case filings. This court case 3:22-cv-06823-KAW retrieved on September 2, 2023, from is part of the public domain. The court-created documents are works of the federal government, and under copyright law, are automatically placed in the public domain and may be shared without legal restriction. Storage.Courtlistener

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