INDIANAPOLIS – The NBA has announced the first-round playoff schedule between the No. 6 seed Indiana Pacers and the Milwaukee Bucks, which will tip-off on Sunday, April 21 at Fiserv Forum. The Pacers will host Game 3 and Game 4 at Gainbridge Fieldhouse on Friday, April 26 and Sunday, April ...

Pacers Announce First-Round Playoff Broadcast Schedule | NBA.com

The Paralympic Games is expected to reach its largest audience this summer, with a record number of countries agreeing broadcast deals for Paris 2024

Paralympic Games in Paris set to reach largest audience after broadcast deals | Paris Paralympic Games 2024 | The Guardian

beIN MEDIA Group has announced a 10-year broadcast deal with Formula One till the end of the 2033 season

beIN MEDIA Group Secures Exclusive 10-Year Broadcast Partnership with Formula 1 Across 25 Countries in MENA and Türkiye | beIN SPORTS

It brings the total of televised Rangers exhibition games to eight over the next month.

Texas Rangers add four more spring TV broadcasts in partnership with TXA 21

Roadcast

roadcast

The De Facto Tesla Company Story: From Eberhard's Roadster to Musk's Worldwide Gigafactories 

A small Bay Area startup is changing the way we think about lighting. has recognized that is essential during the day but harmful at night. They just released , one of the first lighting products that can change in color and brightness automatically throughout the day to support productivity and sleep. Sunlight Inside blue light mySun Just plug it in and turn it on, and mySun automatically starts changing in response to the sun’s daily patterns. What makes shine is that it doesn’t require any complicated setup. Nor is an app needed. Just plug it in and turn it on, and mySun automatically starts changing in response to the sun’s daily patterns. mySun Watch . Subscribe to . on YouTube my channel Smart Lighting’s Identity Crisis * and * showed the world that lighting can be much more than a simple source of illumination. Suddenly, you could make your lights change to any of a million-plus colors from an app halfway around the world. Philips Hue LIFX The ability to change colors or control lighting remotely is not worth the effort and cost for 99% of the population. Both Hue and LIFX were launched almost six years ago. Since then, we have seen no major reductions in cost or complexity. If you want a Hue system in your home, you’ll pay about ten times what you would for regular LED lighting. Setup still requires technical savvy that goes way beyond simply replacing a light bulb. Smart lighting has valid use cases, but the value proposition is just not there for most people. The ability to change colors or control lighting wirelessly is not worth the effort and cost for 99% of the population. Circadian Lighting in Its Infancy You may be familiar with Elon Musk’s for Tesla: top secret master plan Build sports car Use that money to build an affordable car Use money to build an even more affordable car that While doing above, also provide zero emission electric power generation options mySun is to lighting what the Tesla Roadster was to cars. It’s and exotic. But it represents a groundbreaking idea that will change the future of lighting. expensive Simple, Gorgeous, Healthy Light Why does mySun cost ? You might think that even Philips Hue is a comparative bargain. As my home is outfitted with Hue lights, I am qualified to compare the two systems. $250 Like Hue, mySun mixes several different LED colors to generate different shades of white. But mySun produces —which translates into people and objects looking better under its light. According to the manufacturer, it’s the to natural light right now. richer, more vibrant colors closest you can get mySun is also brighter than any Hue bulb. This means you can get adequate blue light during the day — even if you don’t spend much time outside. At night, all the blue light disappears automatically, even if mySun is still on. I was surprised to learn that mySun could be really bright and still emit no blue. By contrast, to make Hue emit absolutely no blue, it has to be quite dim and basically red. More like a night light than a normal light bulb. It’s nearly impossible to read a book under Hue’s no-blue setting. For anything more than basic control, Hue requires setup with an app and a hub connected to an internet router. Even after all that setup, Hue doesn’t really have an automatic circadian lighting mode. You’ll have to purchase a remote control or use an app to manually change lighting modes. By contrast, mySun changes color automatically, and all you have to do is plug it in and turn it on. Sunlight Inside preprograms the light to your time zone. Too bright or too dim? Just adjust the attached dimmer accordingly. It’s that simple. My Recommendation If you can afford it, you will not be dissatisfied with . mySun’s simplicity, functionality, and quality of light are far superior to anything else currently on the market. mySun If you work in a poorly-lit office, especially away from windows, you should make the case for your employer to purchase this for you. A $250 purchase is a lot less than all the lost productivity due to poor light exposure. mySun is also great for the home. You could use this at your desk and other task areas to support healthy energy, mood, metabolism, vision, and sleep. bottled sunshine Table Lamp Sunlight Inside also makes a table lamp, *, which puts the same functionality in a different form factor. bottled sunshine provides all the same benefits of mySun, but it might be a better fit on your nightstand and in other non-task areas. bottled sunshine mySun and bottled sunshine are handcrafted in California from real wood and glass. Both are designed to last 10–20 years with no bulb to replace. I’m confident you’ll enjoy every minute of them. mySun is a glimpse into the future of lighting. By supporting Sunlight Inside, you are making that future possible. If you liked this article, please hit the clap button above and share with your friends. I also encourage you to subscribe to my for more digital health content. Thanks for reading. YouTube channel I was not compensated by Sunlight Inside or any other party for this review. The opinions presented here are completely my own. I may make a small commission from purchases made after clicking affiliate links marked with *.

mySun: The Tesla Roadster of Lighting

A car in space Of course, you’ve heard that Elon Musk and SpaceX launched a Tesla on top of the Falcon Heavy rocket. Roadster So, why the roadster? Normally, when rockets are tested, they are loaded with mass simulators to mimic the weight of a real payload. You don’t want an expensive satellite to blow up in the test so you send a dummy. A mass simulator. How boring is that? Elon Musk decided that he does not want to be ‘boring’ (see how I did that), so he decided to send something fun and really absurd up in to orbit. A decidedly not boring mass simulator Ok, What has this got to do with Scope Creep? Imagine the requests and team must’ve fielded for the roadster when it became clear they were going to send a car with a mannequin towards Mars: Elon We are going all the way there, so why don’t we add a video camera inside Starman to provide a human POV as we float in space!! or, Since you are sending this car anyway, it would be great to add a sensor to track and report back on effects of radiation on paint, leather and rubber! or this, Why don’t we put a few sensors there to keep track of wear and tear on the spacesuit! This is a golden opportunity! After all, you are sending a car with a spacesuit up there. Think of the possibilities! Every one of these requests is relatively small with seemingly large benefits, when contrasted with the overall scope. These requests are also classic cases of scope creep. Let’s take for example, adding a camera for a Starman POV. Let’s “throw in” a camera inside Starman! Implementation begins and here’s how the story plays out: The Starman Cam is delayed. We got the cam. But wait, the camera is not adhering to the mannequin. We need a new adhesive that can withstand 10Gs. The supplier is back-ordered 6 months! We can’t get a power line through the suit to the camera and transmitter, so let’s add a battery pack to the mannequin. The mannequin needs a re-design to accommodate the camera battery pack. The camera team is requesting 10 tickets for the launch stand. Screw this. Let’s just send a concrete block instead! I’m assuming Elon & Co. deftly swatted away these requests. Tying it together You will see a lot of this type of ‘ ’ in software projects. I definitely have over the years. let’s do one more thing You will be presented small feature add-ons that will be tantalizingly useful, revenue generators, customer happiness creators & NPS busters. The temptation is to throw them in, like putting tiny pebbles in between big rocks. In most cases, these “pebbles” will add several variables into your delivery equation. Complexity and uncertainty grow exponentially in every step of your development cycle. What’s helped me catch these scope creeps is the following: Ask myself & others: given that X was never in scope earlier, what has changed now that X is so desperately needed in this release? Keeping in mind the overall goals of the release: what’s in it for our customers and what’s in it for us, the business. Mentally walking the feature through every step of my development process and estimating the cost: design, coding, unit testing, QA testing, documentation, bug fixes, marketing etc. So, beware of creepy features! Gratuitous SpaceX image. P.S: I can’t say definitively if Starman does not have some of the features I stated above but Elon didn’t give any indication that there was any data coming back from Starman or the roadster.

Scope Creep & Elon’s Space Roadster

Developing an Integrated Data and User Feedback Tool Using AI Product Architecture Software

Building a 3D Maze Game with SDL2: A Journey Through Code and Creativity

How to Optimize UIs in Unity: Slow Performance Causes and Solutions

ঐক্যে UIs কিভাবে অপ্টিমাইজ করা যায়: ধীর কর্মক্ষমতা কারণ এবং সমাধান

So optimieren Sie Benutzeroberflächen in Unity: Ursachen und Lösungen für langsame Leistung

Cómo optimizar las interfaces de usuario en Unity: causas y soluciones del bajo rendimiento

Comment optimiser les interfaces utilisateur dans Unity : causes et solutions des performances lentes

यूनिटी में UI को कैसे अनुकूलित करें: धीमी प्रदर्शन के कारण और समाधान

Unity で UI を最適化する方法: パフォーマンス低下の原因と解決策

Unity에서 UI를 최적화하는 방법: 성능 저하 원인 및 해결책

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Как оптимизировать пользовательский интерфейс в Unity: причины низкой производительности и решения

Unity'de Kullanıcı Arayüzleri Nasıl Optimize Edilir: Yavaş Performans Nedenleri ve Çözümleri

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How to Create a 2D Character Controller in Unity: Part 1

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So erstellen Sie einen 2D-Charakter-Controller in Unity: Teil 1

Cómo crear un controlador de personajes 2D en Unity: Parte 1

Comment créer un contrôleur de personnage 2D dans Unity : partie 1

यूनिटी में 2D कैरेक्टर कंट्रोलर कैसे बनाएं: भाग 1

Unity で 2D キャラクター コントローラーを作成する方法: パート 1

Unity에서 2D 캐릭터 컨트롤러를 만드는 방법: 1부

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Как создать контроллер 2D-персонажа в Unity: часть 1

Unity'de 2D Karakter Kontrol Cihazı Nasıl Oluşturulur: Bölüm 1

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如何在 Unity 中创建 2D 角色控制器：第 1 部分

Every year, in early January, tens of thousands of tech aficionados descend on Las Vegas for the . It’s an event best known for capturing the tech world’s current zeitgeist; 2023 was heavy on , while 2022 revolved around . Unsurprisingly, CES 2024 was all about AI. , , … this year had it all. Customer Electronic Show (CES) EVs and sustainability improved hardware and gaming setups AI for headsets AI for babies AI for pets Obviously, the press unofficially crowns winners and losers at the end of the event. There is a variety of opinions on the losers ( ), but indisputable; . Google seems to be getting a lot of votes the winner is it’s the Rabbit R1 In short, R1 is a compact, AI-powered handheld device designed to streamline daily tasks. You talk into it like you would a walkie-talkie (by pressing a side button), and get the Artificial Intelligence to tasks historically done through apps. This includes, as per the demo, planning itineraries, ordering food, or booking a taxi. Speak, then validate with a click, without browsing / tinkering. The device is equipped with a 360° camera that allows it to “see” and better answer questions regarding the physical world. Finally a piece of software accessible via a PC allows its users to “teach” it repeatable tricks to save even more time. autonomously execute https://www.youtube.com/watch?v=22wlLy7hKP4&embedable=true Lauded for its efficiency and simplicity, the R1 is aiming to be a to our Tony Stark. A perfect assistant. , the company making it, has already pre-sold ! J.A.R.V.I.S. Rabbit at least 30,000 units Sadly, this ( ) cute piece of tech is severely over-hyped and doomed to fail. very The Rabbit R1: the Most Over-Hyped Project in the Tech World Right Now In , Rabbit’s founder contends that Amazon’s Alexa, Apple’s Siri and Microsoft’s Cortana may understand us, but are unable to complete actions. They’re a way to use Google verbally. Hardly . He portrays the Rabbit R1 as an AI companion able to do much more, from planning a complex holiday in a few sentence to accessing your favorite artists’ concert dates. And that’s a great idea! his keynote just assistants But it’s just idea. One idea . one that could easily and entirely fit inside a single app created by a larger player Rabbit may be the first out the gate (and props to them for that), but every single device maker has had the same plan for the past 18 months. . Microsoft recently announced , specifically for its Copilot AI assistant. , meanwhile, has been a Mac staple for a while now, and is also accessible at a click of a button. Even I’ve had this idea a year ago it is adding a new key to PC keyboards for the first time since 1994 Raycast The only reason we don’t have more examples is because natively integrating app in a vast universe of products and services takes time. This is however where the value will come from: a flywheel effect wherein an actor like Apple, being already connected to all your apps (and location) via iPhone iCloud data is able to better assist you by better knowing you. yet one and Having built a whole device for a functionality literally every smartphone is going to introduce and improve on in a few months, Rabbit is essentially just another . The only reason this is a separate device instead of an app is because the company needs to have unfettered access to a camera and microphone without Apple or Google stopping them. AI wrapper Which brings us to another obvious challenge: most individuals prefer carrying or using a single device, with their phones serving as the ideal choice ( ). My iPhone will soon do what the Rabbit does… and already does so much more, today. Should you purchase a Rabbit, it will absolutely stay home when you go out. when was the last time you bought a flashlight Then we get to the R1’s party trick. The device can connect to one’s apps (Spotify, Uber, Doordash…) to take actions on one’s behalf without having to visit said apps (with the user’s permission / login via a PC). This is neat… but what if tech giants like Meta or Google or Apple refuse to play ball and make integrations with the R1’s software more complex? And what if the apps no longer want to be accessed by an AI? This type of device could seriously hurt their ad or pull-through revenues. ; how will this be any different? We’ve already seen lawsuits aimed at OpenAI / ChatGPT Strategically, this is a massive vulnerability. On the other side of the spectrum, not only do large actors like Apple and Microsoft have a breadth of offers to concatenate, they also have the power to negotiate with apps makers to provide their services via AI… and pay them for it. Which leads us to the device’s economics. , an unusually low one-time (!) price for such a product. Again, good for them, … the R1 does not use fully local AI, so you’re using their cloud. And running a cloud is expensive ( ). It’s so expensive, in fact, that a one-time purchase rather than a subscription model makes little sense, and is unlikely to last. This means the company is likely to look for new growth avenues. If I were a betting man, I’d put my money on all the “privacy-first” promises disappearing when they realise data can be sold at a good price. The Rabbit R1 is priced at $199 but 110k$ a day for ChatGPT A local AI would have been a game changer. In the future, every device, such as TVs, cars, phones, and individual applications will come equipped with built-in natural language models. These models will be small, local and limited to their purpose. What we got instead is a Pokedex connected to the Cloud. Other issues, in bullet-points, because you only have so much time to study bad tech in details During CES, Google announced it was ’s “brain”. That obsolete functions include “Checking personal travel itineraries by voice” and “making a reservation”… which were both in the R1 demo! Google has enough data to know what it’s doing: no one is using an AI assistant to do these things. removing “under-utilized features” from its AI assistant The hardware looks cool, but is pretty dreadful in terms of wasted space; around 20% of the device is empty / unused. The keyboard works poorly (allegedly), which is unfortunate : people text input because they have needs that are detailed and complex, which are not easily expressed or recorded through voice. need AI hallucinations are not addressed. Since this is an AI and nothing else, how does one check the veracity of its statements? It’s supposedly very fast (though the problem with ChatGPT was never its speed). But in the demo, I wasn’t convinced it was faster than ChatGPT4. What if you're left-handed? I could be wrong about the R1. Its first batch sold out on day One and pre-orders are through the roof. It has generated considerable consumer interest. They are the first(ish) on the market with such a gadget, and though they will be trounced by Siri 2.0, the team should be proud. It definitely seems like the early days of a tech wave. There were all kinds of weird off-the-wall designs and ideas for phones at the beginning of the smartphone wave as companies were exploring to try and find niches and see what was possible. It’s kinda fun and I’m excited to see what other weird things people come up with. Good luck out there. Also appears . here

The Rabbit R1 May Be the Most Over-Hyped Tech Gadget at CES 2024

CES 2024-এ খরগোশ R1 সবচেয়ে বেশি হাইপড টেক গ্যাজেট হতে পারে

Der Rabbit R1 ist möglicherweise das am meisten gehypte Tech-Gadget auf der CES 2024

El Rabbit R1 puede ser el dispositivo tecnológico más publicitado en CES 2024

Le Rabbit R1 pourrait être le gadget technologique le plus surfait du CES 2024

रैबिट R1 CES 2024 में सबसे अधिक चर्चित टेक गैजेट हो सकता है

Rabbit R1 は CES 2024 で最も誇張されすぎたテクノロジー ガジェットになる可能性があります

Rabbit R1은 CES 2024에서 가장 과장된 기술 장치일 수 있습니다.

O Rabbit R1 pode ser o gadget tecnológico mais badalado na CES 2024

Rabbit R1 может стать самым разрекламированным техническим гаджетом на CES 2024

Tavşan R1, CES 2024'te En Çok Abartılan Teknoloji Gadget'ı Olabilir

Rabbit R1 có thể là tiện ích công nghệ được thổi phồng quá mức tại CES 2024

Rabbit R1 可能是 CES 2024 上最被炒作的科技产品

Every player wants to beat the odds. But few actually do. Have you ever wondered how slot machines in casinos can be beaten? Or how to win in Web3 games that rely on chance? In this article, we explore the role randomness plays in Web3, whether it’s possible to beat random number generators (RNGs), and how to go about cracking RNGs. In the vast expanse of Web3, randomness isn’t just a happenstance. It’s a pivotal element in various scenarios, influencing outcomes that range from gaming experiences to critical blockchain functionalities. Where Randomness Plays a Role in Web3 In Web3, randomness operates as a fundamental force influencing various aspects. One prominent domain is within the gaming sphere, where the chance of unveiling rare in-game items at specific locations is contingent upon the mechanisms of random number generators. These random encounters often dictate the rewarding experience of players upon defeating opponents. Lottery draws a quintessential example of randomness, requiring an unequivocally transparent and verifiably random process, especially within the Web3 ecosystem, where fairness and openness are paramount. If not, the lottery draw may potentially favor only specific groups or players. Additionally, the random selection of block producers through RNGs is crucial in certain layer-one blockchains. If this selection process lacks verifiable randomness and exhibits discernible patterns, block producers might exploit this to their advantage, strategically producing blocks that serve their interests. Such actions compromise the network's security, underlining the critical role of truly random and unbiased selection mechanisms in Web3 blockchain operations. While randomness plays such an important role in Web3 gaming and the Autonomous World, it's crucial to differentiate between pseudo-random number generators (PRNGs), which use algorithms to produce sequences of random numbers, and true random number generators (TRNGs) that use physical processes for higher security. Why Predicting Random Numbers Is Possible Predicting numbers generated by pseudo-random number generators (PRNGs) might be feasible due to specific vulnerabilities and patterns inherent in their algorithms. The generation process of PRNGs follows patterns that can be exploited if the initial seed (starting point) and state (current condition) of the generator are known. Let’s dive deeper into what a “seed” and “state” mean in this context. The seed, a critical input, initiates the random number generation process. It can be something as simple as the current time. The state refers to the current condition of the generator, which evolves with each number generated. Knowing the initial state allows for the prediction of subsequent numbers, presenting a significant security risk in scenarios where unpredictability is crucial. Moreover, the use of centralized sources for RNGs introduces additional vulnerabilities. Centralized systems become single points of failure, making them prime targets for malicious attacks. Historical incidents have demonstrated that brute force attacks can compromise these systems. Attackers can inundate the central server with numerous random guesses and make incremental adjustments to fine-tune their predictions, ultimately increasing their accuracy in guessing the next random number generated. These vulnerabilities emphasize the need for more secure and decentralized RNG solutions in various applications, especially within the Web3 landscape, where data integrity and randomness are of utmost importance. Exploiting RNG Vulnerabilities: Theoretical Methods Finding the Seed Through Hypothesis Testing The initial step in exploiting an RNG is to uncover the seed, which is the starting point for number generation. This process involves formulating and testing various hypotheses about potential seed sources. For example, if the hypothesis for the seed is the time of RNG operation, then generating numbers at consistent times and analyzing the outputs for patterns could confirm or refute this hypothesis. Advanced statistical techniques can be applied to detect subtle patterns that might not be immediately apparent, thereby increasing the accuracy of seed prediction. State Analysis and Reverse Engineering Beyond identifying the seed, understanding the state transitions within the RNG algorithm is crucial. By analyzing how the state changes with each number generated, it's possible to reverse-engineer the RNG algorithm. This method involves sophisticated mathematical and computational techniques, including algorithmic analysis and potentially cryptographic reverse engineering, depending on the complexity of the RNG. Leveraging Machine Learning for Pattern Recognition Machine learning, a subset of artificial intelligence (AI), excels at deciphering complex patterns in large datasets. This capability extends beyond simple pattern recognition, enabling the algorithm to learn and adapt without explicit programming. A prominent example of this is Google's AlphaGo. This AI system, trained on the board game Go, mastered the game by learning from vast quantities of game data, eventually outperforming world champions by anticipating their moves. This principle is directly applicable to analyzing RNG outputs. Machine learning algorithms can process extensive datasets of RNG-generated numbers to detect underlying patterns, including subtle irregularities and algorithmic resets that might not be apparent through traditional analysis methods. By training on a sufficiently large dataset, machine learning models can identify the cyclical nature of these RNGs, including their reset points and output patterns. Understanding these patterns allows for the prediction, and potentially the manipulation, of future RNG outputs. This capability is particularly crucial when RNGs are used in environments where predictability can lead to security vulnerabilities or unfair advantages, such as in gaming or cryptographic applications. Cryptographic Analysis Cryptographic analysis of RNGs is a multi-faceted approach that involves scrutinizing every aspect of their cryptographic design and implementation. This process starts with a thorough examination of the entropy sources, which are the raw materials for randomness. Entropy quality, its collection method, and the rate at which it's gathered are crucial factors; low-quality entropy or predictable collection methods can weaken the RNG's output. Next, the cryptographic algorithm itself is examined for resistance to known attacks. This includes statistical analysis to detect any biases or patterns that emerge over time, and testing the algorithm against known cryptanalytic techniques like differential cryptanalysis or linear cryptanalysis. The goal here is to ensure that the algorithm doesn’t produce outputs that are disproportionately influenced by certain bits of the seed or state. Moreover, the implementation of the RNG in software or hardware can introduce additional vulnerabilities. This part of the analysis involves code audits to find bugs or oversights that might compromise randomness. Flaws like insufficient mixing of entropy, predictable incrementation of state variables, or improper seeding can be exploited by attackers. Cryptographic analysis also extends to the operational environment of the RNG, checking for side-channel vulnerabilities like timing attacks or power analysis, where an attacker could infer internal states by observing indirect characteristics of the system. Verifiably Random and Tamper-Proof RNGs The process begins when the Randcast Adapter Contract receives a randomness request from a DApp or Web3 game. It then initiates a BLS-TSS (Boneh-Lynn-Shacham Threshold Signature Scheme) task, sending an on-chain event to the ARPA Network, which consists of multiple nodes capable of performing these tasks. The network acknowledges this event and completes the task, subsequently returning the signature as the random seed to the Randcast Adapter Contract. This seed is then transformed into the desired randomness type—be it a dice roll, shuffled array, or any other form—and is utilized in the subsequent DApp or Web3 game logic. How Randcast is different Randcast's approach is particularly vital in scenarios where reliable randomness is essential. In the deterministic environment of blockchain, where smart contract outcomes hinge on input, generating a random number can be easily manipulated. For example, using a block hash or timestamp as a randomness source could be exploited by miners for their benefit. Randcast circumvents this issue by generating random numbers through a decentralized network, ensuring transparency and verifiability in the process. A crucial aspect of Randcast's design is its resilience against tampering. Traditional single-entity randomness generation poses the risk of manipulation. Randcast circumvents this problem by utilizing the collective capabilities of the ARPA Network. Through BLS Threshold signature tasks, it ensures that no individual node can influence the final randomness outcome. This decentralized approach not only enhances security but also upholds the integrity and impartiality of the randomness generated, making Randcast an indispensable tool in the Web3 developer’s arsenal. Reference links https://www.roulettephysics.com/how-to-beat-rng-roulette-slot-machines-other-casino-games/ https://research.nccgroup.com/2021/10/15/cracking-random-number-generators-using-machine-learning-part-1-xorshift128/ https://lemire.me/blog/2017/08/22/cracking-random-number-generators-xoroshiro128/ https://crypto.stackexchange.com/questions/24646/can-machine-learning-analyze-random-number-generator https://www.reddit.com/r/askscience/comments/56r419/is_it_possible_to_find_the_algorithm_for_a_random/?rdt=57618 https://lcamtuf.coredump.cx/oldtcp/tcpseq/print.html#tcpseq

Securing the Unpredictable: Random Number Technology In Web3 Games

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Das Unvorhersehbare sichern: Zufallszahlentechnologie in Web3-Spielen

Asegurar lo impredecible: tecnología de números aleatorios en juegos Web3

Sécuriser l'imprévisible : la technologie des nombres aléatoires dans les jeux Web3

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予測不可能な状況を保護する: Web3 ゲームの乱数テクノロジー

예측 불가능한 보안: Web3 게임의 난수 기술

Protegendo o imprevisível: tecnologia de números aleatórios em jogos Web3

Защита непредсказуемого: технология случайных чисел в играх Web3

Tahmin Edilemeyenin Güvenliğini Sağlama: Web3 Oyunlarında Rastgele Sayı Teknolojisi

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确保不可预测的情况：Web3 游戏中的随机数技术

Hard tech start-ups are those that many perceive as nearly impossible to build. They require extensive time and resources to develop the initial product. Consider SpaceX’s reusable rockets: initially deemed unfeasible, they underwent years of rigorous development. Ultimately, SpaceX succeeded, creating rapidly reusable rockets that reduced the cost of launching by tenfold and significantly accelerated space exploration and the potential colonization of Mars. An easy start-up doesn’t demand much time, effort, or skill to launch. However, its simplicity also means that it’s easy for others to compete. Starting may be effortless, but maintaining a competitive edge becomes increasingly challenging. As competition stiffens, profits thin, turning the entrepreneurial journey into a constant battle for sufficient margins to fund innovation. Why Opt for Hard Tech? The most counterintuitive secret about startups is that it’s often easier to succeed with a hard startup than an easy one. Easy startups are easy to start but hard to make successful. — Sam Altman : Hard Tech projects attract individuals passionate about solving meaningful problems, ensuring a motivated and innovative team. Attracting Talent : The complexity and innovation inherent in Hard Tech act as a barrier to entry, providing a competitive edge. Innovation Moat : Hard problems are difficult for a reason. They require more research, more expertise, and more resources to solve. This difficulty creates a natural barrier, discouraging others from entering the same space. Fewer competitors mean a company has more room to innovate and dominate the market once it achieves a breakthrough. Barriers to Entry If your hard tech startup is working towards a goal that resonates with others’ values and aspirations, they are more likely to support you, whether through funding, partnership, or providing expertise. Support: The Challenges with Hard Tech Start-ups : Hard tech startups often work on complex problems that require extensive research and development. This means it can take a long time to even realize that the approach isn’t working, leading to prolonged periods of investment with no return. Long Time to Fail : Given the extended time, money, and emotional investment in hard tech ventures, the personal cost of failure is high. Founders and early employees often put significant portions of their careers and lives into the project. High Personal Cost of Failure : In hard tech startups, the time between starting the project and delivering a tangible, marketable product can be several years. This delay can be demotivating for both employees and investors, who may not see the fruits of their labor and investment for a long time, if at all. Delayed Gratification Advice for Hard Tech Companies Don’t Be Afraid of Detours While most founders resist straying from their primary vision, detours can be necessary and beneficial. For instance, Tesla initially produced the high-end Roadster to fund its ultimate goal of the mass-market Model 3. Start-ups thrive on momentum, and aiming for achievable, smaller wins can be the key to long-term success. Establish a Strong Defense Ensure you have a unique competitive advantage or “moat” that prevents others from easily replicating your product. This might be in the form of network effects, superior product design, patents, or a user base that enhances the product’s value. Free Yourself from Negative People Surround yourself with individuals who not only share your vision but also provide constructive feedback. A positive environment is crucial for innovation and perseverance, especially in the challenging journey of a hard tech start-up. Accomplish, Raise, Build, and Repeat Adopt a step-by-step approach: : Focus on achieving small, feasible goals that lead towards your bigger vision. Accomplish tangible milestones : After each accomplishment, seek funding proportional to your needs for the next phase. This approach keeps the company agile and responsive. Raise funds incrementally : Use the funds to create better versions of your product or to reach the next milestone. Each iteration should be an improvement, informed by feedback and learning from previous stages. Build iteratively : Continue this cycle, ensuring each step is as small and manageable as possible, reducing risk and maximizing learning and adaptation. Repeat Leverage Cost-Effective Strategies for Fundraising : Before building the full-scale product, consider creating simulations or smaller models. This can be a cost-effective way to demonstrate your concept and attract early interest or investment. Utilize simulations and models : If your product has a market, consider preselling it. This not only generates early revenue but also validates the market demand. Initiate presales : Use a fraction of the actual product cost to create a working prototype or demo. This demonstrates commitment and capability without necessitating extensive resources Showcase a prototype using minimal resources Maintain a Lean and Agile Operation : Fast iteration cycles help in rapidly improving the product based on user feedback and market demand. Iterate quickly : Ensure that your team is adaptable, skilled, and aligned with the start-up’s goals. A team that can pivot and persevere through challenges is invaluable. Build a resilient team all kinds of startups usually work best when initial costs are low and iteration cycles are fast. It’s relatively easy for a software startup to take short cycle times and low-costs to an extreme, but hard tech founders are often surprised by how effectively they can do this, too.- Sam altman Current Hard Problems and References Top Hard Tech Startups 2024 | Y Combinator Top hard tech start-ups | VentureRadar These references provide valuable perspectives: Hard Startups — Sam Altman The Value of Doing Something Intrinsically Hard — Startup CEO Reflections Hard Startups | Hacker News (ycombinator.com) Startups shouldn’t solve technically hard problems — Inverted Passion The Thing About Hard Startups | Sam Altman — YouTube Lessons on How to Start a Hard Tech Startup, with Sam Altman | MIT Admissions How to Start a Hard Tech Startup with Sam Altman @ MIT (Better Audio) (youtube.com) The Good Thing About Hard Things (notboring.co) Jared Friedman — Advice for Hard-tech and Biotech Founders (youtube.com) A Conversation on Hard Tech with Eric Migicovsky (youtube.com) YC and Hard Tech Startups : YC Startup Library | Y Combinator

Are Hard Tech Start-ups Better Than Easy Tech Start-ups? 

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