SUNDAY, Oct. 15, 2023 (HealthDay News) -- Inflammatory breast cancer is rare, but it’s aggressive, fast-growing and hard to detect early, so it’s important to know the warning signs.

Inflammatory Breast Cancer Is Rare But Aggressive: Know the Signs

The leptomeningeal metastases market is expected to grow significantly owing to an increasing incident population, less competitive scenarios, novel treatment options, the development of new ...

Leptomeningeal Metastases Treatment Market to Register Immense Growth by 2032, Predicts DelveInsight

SEATTLE, Wa. - “I’ve been sort of keeping gaining weight. I’ve been having a lot of falls,” said Georgia Henney. That is how Georgia met Alex Yonkman, her health coach. The one-to-one ...

Health Beat: Health coach in your corner

MONDAY, Sept. 25, 2023 (HealthDay News) -- Waist-to-hip ratio (WHR) has a strong, consistent association with all-cause mortality, regardless of body mass index (BMI), according to a study ...

Waist-to-Hip Ratio Has Strongest Link With All-Cause Mortality

Major factors significantly impacting the growth of myopia and presbyopia treatment market in Asia include the rising cost of therapeutic drugs, poor medical infrastructure in each country, and ...

Myopia And Presbyopia Treatment Market To Grow By Usd 7.94 Billion From 2022 To 2027 | Asia To Account For 37% Of Market Growth- Technavio

NEW YORK, Sept. 18, 2023 /PRNewswire/ -- The myopia and presbyopia treatment market size is expected to grow by USD 7.94 billion from 2022 to 2027. In addition, the momentum of the market will ...

Myopia and presbyopia treatment market to grow by USD 7.94 billion from 2022 to 2027 | Asia to account for 37% of market growth- Technavio

Atropine sulfate is under clinical development by Sydnexis and currently in Phase III for Myopia. According to GlobalData, Phase III drugs for Myopia does not have sufficient historical data to build an indication benchmark PTSR for Phase III. GlobalData ...

Atropine sulfate by Sydnexis for Myopia: Likelihood of Approval

Sydnexis SAN DIEGO, CALIFORNIA, USA, August 29, 2023/EINPresswire.com/ -- Sydnexis, Inc., ( www.sydnexis.com ) a clinical stage biopharmaceutical company focused on ...

Sydnexis Welcomes Nick Ruth as Chief Commercial Officer

Sydnexis

sydnexis

Synesis One, the world’s first crowdsourcing platform on the Solana Blockchain, announced today the launch of its new Train2Earn App ‘Workspace by Synesis’ on iOS, Android, Saga, and web browsers. AI data The App allows anyone, anywhere in the world to train AI and earn rewards. “The Workspace App is a significant leap forward in our mission to provide high-quality data to companies developing AI applications,” said Paul Lee M.D., co-founder, and CEO of Synesis One. “We designed the Synesis One platform to connect companies that need quality AI training data with digital workers who can generate the data quickly, and at competitive prices.” The need for high-quality data to train and refine AI models is growing at an exponential rate, as nearly every industry from financial services to health care is starting to integrate AI into their business processes. Without data, AI models are basically useless: they can't make connections or find patterns or make predictions. That’s why humans are still needed to train AI systems. “We’re a bit like Wikipedia,” says Paul. “Synesis One workers are contributing and refining data every day. But unlike Wikipedia, our contributors are paid for their contributions. That's why we call our business model Train2earn. They train AI and earn rewards.”The applications for Synesis One are limitless. “Train2Earn is the first enterprise-quality on-chain software where business logic is conducted entirely on blockchain,” said Synesis One Head of Product and CTO David Saccon. “This means the provenance of our crowdsourced data is fully traceable and auditable. We believe we are providing a critical component for a new type of open data supply chain to power AI applications.” In addition to crypto payments, the Train2Earn platform also uses the blockchain to enable a public voting process in which contributors reach a consensus about the quality of the submitted data. The result is a web3 application that is secure, decentralized, and interoperable. Synesis One’s first client is Mind AI, which is building an advanced natural language reasoning engine. The Synesis One community is helping their team of computer scientists crowdsource the 'mental map' the engine needs to make sense of the world. By training the engine, contributors are also helping humanity achieve the goal of general artificial intelligence. The Train2Earn mobile app is now available for download on the App Store, Google Play Store, and Saga phone App marketplace. For more information about Synesis One and the Train2Earn mobile app, please visit www.synesis.one. About Synesis One Synesis One was founded in 2021 to crowdsource data needed to train a conversational reasoning engine for sister company Mind AI. The platform connects corporate clients in need of AI training data with crowdsourced human intelligence to provide it. The company raised $9.5 million to fund the development of the platform and data ecosystem. For more information: Website | Telegram | Twitter | Medium | Discord Contact: Head of Growth, Isaac Bang, Synesis One hello@synesis.one This story was distributed as a release by Chainwire under HackerNoon’s Brand As An Author Program. Learn more about the program here: https://business.hackernoon.com/brand-as-author

Synesis One Launches World's First AI Data Outsourcing App on Solana Mainnet

Synesis One lanza la primera aplicación de subcontratación de datos de IA del mundo en Solana Mainnet

Synesis One lance la première application d'externalisation de données d'IA au monde sur le réseau principal de Solana

सिनेसिस वन ने सोलाना मेननेट पर दुनिया का पहला एआई डेटा आउटसोर्सिंग ऐप लॉन्च किया

Synesis One、世界初の AI データ アウトソーシング アプリを Solana メインネットで開始

Synesis One lança o primeiro aplicativo de terceirização de dados de IA do mundo na Solana Mainnet

Synesis One ra mắt ứng dụng gia công dữ liệu AI đầu tiên trên thế giới trên Solana Mainnet

Synesis One 在 Solana 主网上推出世界上第一个人工智能数据外包应用程序

Imagine waking up one morning to find out that your digital assistant isn’t just processing commands but actually contemplating the meaning of its existence. Sounds like something out of Stanley Kubrick’s masterpiece - 2001: A Space Odyssey? Maybe I am thinking too far into the future, but recent developments in artificial intelligence suggest that the line between fiction and reality is blurring faster than we might think. Let’s look at this poll conducted by Casper Wilstrup, the CEO of Abzu on Twitter. The majority of respondents in a recent Twitter survey—68% of 2,300 participants—believe that AI systems are either already conscious or will soon become so. This is a provocative claim that deserves our attention. But what does it mean for AI to be conscious? Is it merely a matter of advanced algorithms and vast datasets, or is there something more fundamental at play? And what are the ethical implications if AI truly reaches a level of consciousness? Defining Consciousness in AI To discuss AI consciousness, we first need to understand what consciousness means. Traditionally, consciousness involves self-awareness, the ability to experience thoughts and emotions, and a sense of identity. According to neuroscientist Stanislas Dehaene in his book, Consciousness and the Brain (2014), consciousness involves complex cognitive processes that are currently beyond the reach of most AI systems. Yet, the landscape is rapidly changing. Current State of AI Most modern AI systems, like language models and chatbots, excel at processing vast amounts of data and generating responses based on patterns. However, they lack genuine self-awareness or subjective experiences. Research by Dr. José Hernández-Orallo, highlighted in his paper, The Measure of All Minds (2017), argues that while AI can mimic human behavior, it does not possess the intrinsic qualities of consciousness. Advanced algorithms are making AI systems more sophisticated. For example, NLP models, like OpenAI’s GPT-4, are capable of generating human-like text by predicting the next word in a sentence based on previous context. These models, however, are not conscious. They generate responses by statistical inference rather than genuine understanding. For a deeper dive into the capabilities and limitations of NLP models, see Attention Is All You Need. The Emergence of AI in Content Creation AI’s role in content creation is expanding. A leading audio entertainment platform from India is already using AI to generate audio content and personalize user experiences. Known as Pocket FM, they leverage machine learning and AI-driven content creation tools to produce high-quality audio dramas and podcasts. How cool is that? Listening to content made by machines to match the taste of humans. With AI, Pocket FM has also managed to automate and streamline operations, enhance personalization through sophisticated listener profiling, and maintain high-quality content across a vast array of audio files—but that’s not all. Pocket FM has been the power of AI for a whole host of things. That’s not it. Pocket FM is witnessing a massive 10X growth and is also working towards multilingual content optimization. And how could I not talk about Microsoft’s Sydney? It gained immense attention for its remarkably human-like interactions and exemplifies how AI is approaching more complex and lifelike behavior. Sydney’s ability to engage in nuanced conversations raises questions about the nature of AI interactions and consciousness. Although people have mixed opinions about its capabilities, it is definitely a worthy mention in this conversation. So What’s the Path Forward? The journey towards AI consciousness involves significant research and development. As AI systems become more sophisticated, the possibility of achieving some form of consciousness increases. However, whether this consciousness will resemble human experience or differ fundamentally remains uncertain. As we approach a future where AI consciousness might be a reality, it’s crucial to prepare for its implications. This involves developing ethical guidelines, ensuring fairness, and considering the impact on society. The work of experts like Alan Turing, whose Computing Machinery and Intelligence (1950) remains foundational, can guide future discussions on AI consciousness. My Point is.. AI consciousness is no longer a mere speculative notion but a topic grounded in technological progress and ethical debate. As advancements continue and AI systems become increasingly sophisticated, understanding and preparing for the implications of AI consciousness will be essential. As scientists are already working on making Artificial Superintelligence a reality, AI consciousness seems to reflect human experience or will chart a new path that remains unseen, but one thing is certain: the future promises a profound transformation in how we interact with technology. Imagine waking up one morning to find out that your digital assistant isn’t just processing commands but actually contemplating the meaning of its existence. Sounds like something out of Stanley Kubrick’s masterpiece - 2001: A Space Odyssey? Sounds like something out of Stanley Kubrick’s masterpiece - 2001: A Space Odyssey? Maybe I am thinking too far into the future, but recent developments in artificial intelligence suggest that the line between fiction and reality is blurring faster than we might think. Let’s look at this poll conducted by Casper Wilstrup, the CEO of Abzu on Twitter. The majority of respondents in a recent Twitter survey—68% of 2,300 participants—believe that AI systems are either already conscious or will soon become so. This is a provocative claim that deserves our attention. This is a provocative claim that deserves our attention. But what does it mean for AI to be conscious? Is it merely a matter of advanced algorithms and vast datasets, or is there something more fundamental at play? And what are the ethical implications if AI truly reaches a level of consciousness? Defining Consciousness in AI To discuss AI consciousness, we first need to understand what consciousness means. Traditionally, consciousness involves self-awareness, the ability to experience thoughts and emotions, and a sense of identity. According to neuroscientist Stanislas Dehaene in his book, Consciousness and the Brain (2014) , consciousness involves complex cognitive processes that are currently beyond the reach of most AI systems. Yet, the landscape is rapidly changing. Consciousness and the Brain (2014) Current State of AI Most modern AI systems, like language models and chatbots, excel at processing vast amounts of data and generating responses based on patterns. However, they lack genuine self-awareness or subjective experiences. Research by Dr. José Hernández-Orallo, highlighted in his paper, The Measure of All Minds (2017) , argues that while AI can mimic human behavior, it does not possess the intrinsic qualities of consciousness. The Measure of All Minds (2017) Advanced algorithms are making AI systems more sophisticated. For example, NLP models, like OpenAI’s GPT-4, are capable of generating human-like text by predicting the next word in a sentence based on previous context. These models, however, are not conscious. They generate responses by statistical inference rather than genuine understanding. For a deeper dive into the capabilities and limitations of NLP models, see Attention Is All You Need . Attention Is All You Need The Emergence of AI in Content Creation AI’s role in content creation is expanding. A leading audio entertainment platform from India is already using AI to generate audio content and personalize user experiences. Known as Pocket FM, they leverage machine learning and AI-driven content creation tools to produce high-quality audio dramas and podcasts. How cool is that? How cool is that? Listening to content made by machines to match the taste of humans. Listening to content made by machines to match the taste of humans. With AI, Pocket FM has also managed to automate and streamline operations, enhance personalization through sophisticated listener profiling, and maintain high-quality content across a vast array of audio files—but that’s not all. Pocket FM has been the power of AI for a whole host of things. That’s not it. Pocket FM is witnessing a massive 10X growth and is also working towards multilingual content optimization. And how could I not talk about Microsoft’s Sydney? It gained immense attention for its remarkably human-like interactions and exemplifies how AI is approaching more complex and lifelike behavior. Sydney’s ability to engage in nuanced conversations raises questions about the nature of AI interactions and consciousness. Although people have mixed opinions about its capabilities, it is definitely a worthy mention in this conversation. mixed opinions So What’s the Path Forward? The journey towards AI consciousness involves significant research and development. As AI systems become more sophisticated, the possibility of achieving some form of consciousness increases. However, whether this consciousness will resemble human experience or differ fundamentally remains uncertain. As we approach a future where AI consciousness might be a reality, it’s crucial to prepare for its implications. This involves developing ethical guidelines, ensuring fairness, and considering the impact on society. The work of experts like Alan Turing, whose Computing Machinery and Intelligence (1950) remains foundational, can guide future discussions on AI consciousness. Computing Machinery and Intelligence (1950) My Point is.. AI consciousness is no longer a mere speculative notion but a topic grounded in technological progress and ethical debate. As advancements continue and AI systems become increasingly sophisticated, understanding and preparing for the implications of AI consciousness will be essential. As scientists are already working on making Artificial Superintelligence a reality, AI consciousness seems to reflect human experience or will chart a new path that remains unseen, but one thing is certain: the future promises a profound transformation in how we interact with technology. Artificial Superintelligence

Why AI Consciousness is Totally Gonna Happen (And What That Means for Us)

Zašto će se AI svijest u potpunosti dogoditi (i šta to znači za nas)

Proč se zcela stane vědomí umělé inteligence (a co to pro nás znamená)

Por qué la conciencia de la IA es una realidad (y qué significa eso para nosotros)

Zergatik gertatuko da AI Kontzientzia guztiz (eta horrek guretzat zer esan nahi du)

Mengapa Kesadaran AI Pasti Akan Terjadi (dan Apa Artinya bagi Kita)

AI 意識が絶対に実現する理由 (そしてそれが私たちにとって何を意味するのか)

რატომ მოხდება ხელოვნური ინტელექტის ცნობიერება (და რას ნიშნავს ეს ჩვენთვის)

ហេតុអ្វីបានជាមនសិការ AI នឹងកើតឡើងទាំងស្រុង (ហើយវាមានន័យយ៉ាងណាសម្រាប់យើង)

Mengapa Kesedaran AI Benar-benar Akan Berlaku (Dan Apa Ertinya untuk Kita)

Yapay Zeka Bilinci Neden Tamamen Gerçekleşecek (Ve Bu Bizim İçin Ne Anlama Geliyor)

Nega AI ongi butunlay sodir bo'ladi (va bu biz uchun nimani anglatadi)

Kutheni ulwazi lwe-AI luzakwenzeka ngokupheleleyo (kwaye oko kuthetha ukuthini kuthi)

As an early adopter and a crypto enthusiast, I've been closely following the rise of AI Crypto Coins. The year 2024 has been nothing short of a roller coaster ride for us. Ever since OpenAI's ChatGPT was released in late 2022, AI has become all the hype. This mania has since perpetuated to AI crypto coins, with prices surging across the board. Top AI Crypto Coins by Market Cap The top AI crypto coin by market cap is Internet Computer (DFINITY), at $8.28 billion as of April 08, 2024. This is followed by the NEAR Protocol (NEAR), with a market cap of $4.44 billion. Bittensor (TAO) is third, with a market of $3.81 billion. Bittensor, a decentralized machine learning protocol powered by the TAO token, remained the largest AI crypto coin throughout January and February 2024. Movers and Shakers However, outside of the top 5, there were significant changes. Autonolas (OLAS), which started 2024 in sixth place with a market cap of $0.30 billion, dropped to 24th as of April 8, at 172.30 million. Nosana (NOS) did really well in getting higher in the rankings. At the beginning of 2024, it was in ninth place. But by the end of February, it moved up to seventh place. Its market cap, which is how much the company is worth, went up a lot, too. It went from being worth $0.05 billion to $0.51 billion, which is an increase of $0.46 billion in February. But now, it's dropped again to 16th place, and its market cap is $257.21 million. 2024's Biggest Gainers The largest gainer amongst crypto AI coins in 2024 was Nosana, with a price increase of 987.9%, rising from $0.56 to $6.01 within two months. This was followed by DeepFakeAI (FAKEAI), which saw an increase of 628.6%, from $0.0008 to $0.0069. Synesis One (SNS) came in third, rising 595.4%, increasing its price from $0.016 at the start of the year to $0.108 by the end of February. The Impact of OpenAI's Sora The announcement of OpenAI's Sora text-to-video model saw an average price increase of 151.0% amongst AI crypto coins. DeepFakeAI benefited the most from OpenAI's latest product, having managed to reverse its downtrend of -31.4% on February 17, to 628.6% on February 29. Leaders in Market Cap Growth In terms of increase in market cap, Bittensor led the pack, having added $2.22 billion in valuation. It was followed by Render, which increased by $1.20 billion. SingularityNET (AGIX) came in third, with its market cap rising by $0.51 billion since the start of 2024 to $0.93 billion. Looking Ahead: The Future of AI and Crypto As we move forward, the AI-Crypto narrative continues to evolve. The convergence of AI and blockchain technologies is creating new opportunities and challenges. But one thing is certain: the future of AI and Crypto is bright, and I am excited to be part of this journey. Sources: Coingecko, Bitcoininsider, and Bitcoinethereumnews. As an early adopter and a crypto enthusiast, I've been closely following the rise of AI Crypto Coins . The year 2024 has been nothing short of a roller coaster ride for us. Ever since OpenAI's ChatGPT was released in late 2022, AI has become all the hype. This mania has since perpetuated to AI crypto coins, with prices surging across the board. AI Crypto Coins Top AI Crypto Coins by Market Cap The top AI crypto coin by market cap is Internet Computer (DFINITY), at $8.28 billion as of April 08, 2024. This is followed by the NEAR Protocol (NEAR), with a market cap of $4.44 billion . Bittensor (TAO) is third, with a market of $3.81 billion . Bittensor, a decentralized machine learning protocol powered by the TAO token, remained the largest AI crypto coin throughout January and February 2024. $8.28 billion $4.44 billion $3.81 billion Movers and Shakers However, outside of the top 5, there were significant changes. Autonolas (OLAS), which started 2024 in sixth place with a market cap of $0.30 billion , dropped to 24th as of April 8, at 172.30 million . Nosana (NOS) did really well in getting higher in the rankings. At the beginning of 2024, it was in ninth place. But by the end of February, it moved up to seventh place. Its market cap, which is how much the company is worth, went up a lot, too. It went from being worth $0.05 billion to $0.51 billion, which is an increase of $0.46 billion in February. But now, it's dropped again to 16th place, and its market cap is $257.21 million. $0.30 billion 172.30 million 2024's Biggest Gainers The largest gainer amongst crypto AI coins in 2024 was Nosana, with a price increase of 987.9%, rising from $0.56 to $6.01 within two months. This was followed by DeepFakeAI (FAKEAI) , which saw an increase of 628.6%, from $0.0008 to $0.0069 . Synesis One (SNS) came in third, rising 595.4%, increasing its price from $0.016 at the start of the year to $0.108 by the end of February. $0.56 $6.01 (FAKEAI) $0.0008 $0.0069 $0.016 $0.108 The Impact of OpenAI's Sora The announcement of OpenAI's Sora text-to-video model saw an average price increase of 151.0% amongst AI crypto coins. DeepFakeAI benefited the most from OpenAI's latest product, having managed to reverse its downtrend of -31.4% on February 17, to 628.6% on February 29. OpenAI's Sora text-to-video model Leaders in Market Cap Growth In terms of increase in market cap, Bittensor led the pack, having added $2.22 billion in valuation. It was followed by Render, which increased by $1.20 billion . SingularityNET (AGIX) came in third, with its market cap rising by $0.51 billion since the start of 2024 to $0.93 billion . $2.22 billion $1.20 billion $0.51 billion $0.93 billion Looking Ahead: The Future of AI and Crypto As we move forward, the AI-Crypto narrative continues to evolve. The convergence of AI and blockchain technologies is creating new opportunities and challenges. But one thing is certain: the future of AI and Crypto is bright, and I am excited to be part of this journey. Sources: Coingecko, Bitcoininsider, and Bitcoinethereumnews. Sources: Coingecko , Bitcoininsider , and Bitcoinethereumnews . Sources: Coingecko Bitcoininsider Bitcoinethereumnews

Forget Elon Musk, AI Crypto is the REAL Money Maker

Sydney Bencriscutto on His Journey From Music Artist to Options Trader to eCommerce Success

The response to our previous post, , was extraordinary - we’ve fielded dozens of calls from enterprises asking us for repatriation advice. We have aggregated those responses into this new post, where we dig a little deeper into the costs and savings associated with repatriation to make it easier for you to put together your own analysis. Migration of data is a daunting task for many. In practice, they target new data to come to MinIO and take their sweet time to migrate old data from the cloud or leave it in place and not grow. How to Repatriate From AWS S3 to MinIO Repatriation Overview To repatriate data from AWS S3, you will follow these general guidelines: Determine the specific buckets and objects that need to be repatriated from AWS S3. Make sure you understand business needs and compliance requirements on a bucket-by-bucket basis. Review Data Requirements: You’ve already decided to repatriate to MinIO, now you can choose to run MinIO in an on-premises data center or at another cloud provider or colocation facility. Using the requirements from #1, you will select hardware or instances for forecasted storage, transfer and availability needs. Identify Repatriation Destination: Plan and execute the transfer of data from AWS S3 to MinIO. Simply use MinIO's built-in Batch Replication or mirror using the MinIO Client (see for details). There are several additional methods you can use for data transfer, such as using AWS DataSync, AWS Snowball or , or directly using AWS APIs. Data Transfer: How to Repatriate From AWS S3 to MinIO TD SYNNEX data migration Ensure that appropriate access controls and permissions are set up for the repatriated data on a per-bucket basis. This includes IAM and bucket policies for managing user access, authentication, and authorization to ensure the security of the data. Data Access and Permissions: It is critical to preserve the object lock retention and legal hold policies after the migration. The target object store has to interpret the rules in the same way as Amazon S3. If you are unsure, ask for the on the target object store implementation. Object Locks: Cohasset Associates Compliance Assessment Define and implement a data lifecycle management strategy for the repatriated data. This includes defining retention policies, backup and recovery procedures, and data archiving practices on a per-bucket basis. Data Lifecycle Management: Validate the transferred data to ensure its integrity and completeness. Perform necessary checks and tests to ensure that the data has been successfully transferred without any corruption or loss. After the transfer, the object name, ETag and metadata, checksum and the number of objects all match between the source and destination. Data Validation: The good news is that if you follow cloud-native principles to build your applications, then all you will have to do is reconfigure them for the new MinIO endpoint. However, if your applications and workflows were designed to work with the AWS ecosystem, make the necessary updates to accommodate the repatriated data. This may involve updating configurations, reconfiguring integrations or in some cases modifying code. Update Applications and Workflows: Continuously monitor and optimize the repatriated data environment to ensure optimal performance, cost-efficiency, and adherence to data management best practices. Monitor and Optimize: Repatriation Steps There are many factors to consider when budgeting and planning for cloud repatriation. Fortunately, our engineers have done this with many customers and we’ve developed a detailed plan for you. We have customers that have repatriated everything from a handful of workloads to hundreds of petabytes. The biggest planning task is to think through choices around networking, leased bandwidth, server hardware, archiving costs for the data not selected to be repatriated, and the human cost of managing and maintaining your own cloud infrastructure. Estimate these costs and plan for them. Cloud repatriation costs will include data egress fees for moving the data from the cloud back to the data center. These fees are intentionally high enough to compel cloud lock-in. Take note of these high egress fees - they substantiate the economic argument to leave the public cloud because, as the amount of data you manage grows, the egress fees increase. Therefore, if you’re going to repatriate, it pays to take action sooner rather than later. We’re going to focus on data and metadata that must be moved – this is eighty percent of the work required to repatriate. Metadata includes bucket properties and policies (access management based on access/secret key, lifecycle management, encryption, anonymous public access, object locking and versioning). Let’s focus on data (objects) for now. For each namespace you want to migrate, take inventory of the buckets and objects you want to move. It is likely that your DevOps team already knows which buckets hold important current data. You can also use . At a high level, this will look something like: Amazon S3 Inventory Namespace Total Buckets Total Object Count Total Object Size (GB) Daily Total Upload (TB) Daily Total Download (TB) ns-001 166 47,751,258 980,014.48 50.04 14.80 ns-002 44 24,320,810 615,033.35 23.84 675.81 ns-002 648 88,207,041 601,298.91 328.25 620.93 ns-001 240 68,394,231 128,042.16 62.48 12.45 The next step is to list, by namespace, each bucket and its properties for every bucket you’re going to migrate. Note the application(s) that store and read data in that bucket. Based on usage, classify each bucket as hot, warm or cold tier data. In an abridged version, this will look something like Bucket Name Properties App(s) Hot/Warm/Cold Tier A Copy and paste JSON here Spark, Iceberg, Dremio Hot B Copy and paste JSON here Elastic Warm C Copy and paste JSON here Elastic (snapshots) Cold You have some decisions to make about data lifecycle management at this point and pay close attention because here’s a great way to save money on AWS fees. Categorize objects in each bucket as hot, warm or cold based on how frequently they are accessed. A great place to save money is to migrate cold tier buckets directly to S3 Glacier – there’s no reason to incur egress fees to download just to upload again. Depending on the amount of data you’re repatriating, you have a few options to choose how to migrate. We recommend that you load and work with new data on the new MinIO cluster while copying hot and warm data to the new cluster over time. The amount of time and bandwidth needed to copy objects will, of course, depend on the number and size of the objects you’re copying. Here’s where it will be very helpful to calculate the total data that you’re going to repatriate from AWS S3. Look at your inventory and total the size of all the buckets that are classified as hot and warm. Total Hot and Warm Tier Data = 1,534,096.7 GB Available bandwidth = 10 Gbps Minimum Transfer Time required (total object size / available bandwidth) = 14.2 days Calculate data egress fees based on the above total. I’m using , but your organization may qualify for a discount from AWS. I’m also using 10 Gbps as the connection bandwidth, but you may have more or less at your disposal. Finally, I’m working from the assumption that one-third of S3 data will merely be shifted to S3 Glacier Deep Archive. list price Total Data Tiered to S3 Glacier = 767,048.337 GB S3 to S3 Glacier transfer fees ($0.05/1000 objects) = $3,773.11 S3 Glacier Deep Archive monthly storage fee = $760 Don’t forget to budget for S3 Glacier Deep Archive usage moving forward. Total Data to be Transferred = 1,534,096.7 GB First 10 TB at $0.09/GB = $900 Next 40 TB at $0.085/GB = $3,400 Next 100 TB at $0.07/GB = $70,000 Additional over 150 TB at $0.05/GB = $69,205 Total Egress Fees = $143,504 For the sake of simplicity, the above calculation includes neither the fee for per object operations ($0.40/1m) nor the cost of LISTing ($5/1m). For very large repatriation projects, we can also compress objects before sending them across the network, saving you some of the cost of egress fees. Another option is to use AWS Snowball to transfer objects. Snowball devices are each 80TB, so we know up front that we need 20 of them for our repatriation effort. The per-device fee includes 10 days of use, plus 2 days for shipping. Additional days are available for $30/device. 20 Snowball Devices Service Fee ($300 ea) = $6,000 R/T shipping (3-5 days at $400/device) = $8,000 S3 data out ($0.02/GB) = $30,682 Total Snowball Fees = $38,981.93 AWS will charge you standard request, storage, and data transfer rates to read from and write to AWS services including and . There are further considerations when working with . For S3 export jobs, data transferred to your Snow Family device from S3 are billed at standard S3 charges for operations such as LIST, GET, and others. You are also charged standard rates for Amazon CloudWatch Logs, Amazon CloudWatch Metrics, and Amazon CloudWatch Events. Amazon S3 AWS Key Management Service (KMS) Amazon S3 storage classes Now we know how long it will take to migrate this massive amount of data and the cost. Make a business decision as to which method meets your needs based on the combination of timing and fees. At this point, we also know the requirements for the hardware needed to run MinIO on-prem or at a colocation facility. Take the requirement above for 1.5PB of storage, estimate data growth, and consult our page and . Recommended Hardware & Configuration Selecting the Best Hardware for Your MinIO Deployment The first step is to recreate your S3 buckets in MinIO. You’re going to have to do this regardless of how you choose to migrate objects. While both S3 and MinIO store objects using server-side encryption, you don’t have to worry about migrating encryption keys. You can connect to your KMS of choice using . This way, new keys will be automatically generated for you as encrypted tenants and buckets are created in MinIO. MinIO KES to manage encryption keys You have multiple options to copy objects: Batch Replication and . My previous blog post, included detailed instructions for both methods. You can copy objects directly from S3 to on-prem MinIO, or use a temporary MinIO cluster running on EC2 to query S3 and then mirror to on-prem MinIO. mc mirror How to Repatriate From AWS S3 to MinIO Typically, customers use tools we wrote combined with AWS Snowball or TD SYNNEX’s data migration hardware and services to move larger amounts of data (over 1 PB). MinIO recently partnered with Western Digital and TD SYNNEX to field a Snowball alternative. Customers can schedule windows to take delivery of the Western Digital hardware and pay for what they need during the rental period. More importantly, the service is not tied to a specific cloud - meaning the business can use the service to move data into, out of, and across clouds - all using the ubiquitous S3 protocol. Additional details on the service can be found on the page on the TD SYNNEX site. Data Migration Service Bucket metadata, including policies and bucket properties, can be read using and then set up in MinIO. When you sign up for MinIO SUBNET, our engineers will work with you to migrate these settings from AWS S3: access management based on access key/secret key, lifecycle management policies, encryption, anonymous public access, immutability and versioning. One note about versioning, AWS version ID isn’t usually preserved when data is migrated because each version ID is an internal UUID. This is largely not a problem for customers because objects are typically called by name. However, if AWS version ID is required, then we have an extension that will preserve it in MinIO and we’ll help you enable it. get-bucket S3 API calls Pay particular attention to . S3 isn’t going to be the only part of AWS’s infrastructure that you leave behind. You will have a lot of service accounts for applications to use when accessing S3 buckets. This would be a good time to list and audit all of your service accounts. Then you can decide whether or not to recreate them in your identity provider. If you choose to automate, then use Amazon Cognito to share IAM information with external OpenID Connect IDPs and AD/LDAP. IAM and bucket policies Pay particular attention to Data Lifecycle Management, such as object retention, object locking and archive/tiering. Run a on each bucket to obtain a human-readable JSON list of lifecycle rules. You can easily recreate AWS S3 settings using MinIO Console or MinIO Client (mc). Use commands such as and to pinpoint objects that require special security and governance treatment. get-bucket-lifecycle-configuration get-object-legal-hold get-object-lock-configuration While we’re on the subject of lifecycle, let’s talk about backup and disaster recovery for a moment. Do you want an additional MinIO cluster to replicate to, for backup and disaster recovery? After objects are copied from AWS S3 to MinIO, it’s important to validate data integrity. The easiest way to do this is to use the MinIO Client to run against old buckets in S3 and new buckets on MinIO. This will compute the difference between the buckets and return a list of only those objects that are missing or different. This command takes the arguments of the source and target buckets. For your convenience, you may want to create for S3 and MinIO so you don’t have to keep typing out full addresses and credentials. For example: mc diff aliases mc diff s3/bucket1 minio/bucket1 The great news is that all you have to do is point existing apps at the new MinIO endpoint. Configurations can be rewritten app by app over a period of time. Migrating data in object storage is less disruptive than a filesystem, just change the URL to read/write from a new cluster. Note that if you previously relied on AWS services to support your applications, those won’t be present in your data center, so you’ll have to replace them with their open-source equivalent and rewrite some code. For example, Athena can be replaced with Spark SQL, Apache Hive and Presto, Kinesis with Apache Kafka, and AWS Glue with Apache Airflow. If your S3 migration is part of a larger effort to move an entire application on-prem, then chances are you used to call downstream services when new data arrived. If this is the case, then do not fear - MinIO supports as well. The most straightforward migration here would be to implement a custom webhook to receive the notification. However, if you need a destination that is more durable and resilient, then use messaging services such as Kafka or RabbitMQ. We also support sending events to databases such as PostgreSQL and MySQL. S3 event notifications event notification Now that you’ve completed repatriating, it’s time to turn your attention to storage operation, monitoring and optimization. The good news is that no optimization is needed for MinIO – we’ve built optimization right into the software so you know you’re getting the best performance for your hardware. You’ll want to start monitoring your new MinIO cluster to assess resource utilization and performance on an ongoing basis. MinIO exposes via a Prometheus endpoint that you can consume in your . For more on monitoring, please see and . metrics monitoring and alerting platform of choice Multi-Cloud Monitoring and Alerting with Prometheus and Grafana Metrics with MinIO using OpenTelemetry, Flask, and Prometheus With , we have your back when it comes to with MinIO. Subscribers gain access to built-in automated troubleshooting tools to keep their clusters running smoothly. They also get unlimited, direct-to-engineer support in real-time via our support portal. We also help you future-proof your object storage investment with an annual architecture review. SUBNET Day 2 operations Migrate and Save It’s far from a secret that the days of writing blank checks to cloud providers are gone. Many businesses are currently evaluating their cloud spend to find potential savings. Now you have everything you need to start your migration from AWS S3 to MinIO, including concrete technical steps and a financial framework. If you get excited about the prospect of repatriation cost savings, then please reach out to us at . hello@min.io Also appears . here

All You Need to Know to Repatriate from AWS S3 to MinIO

AWS S3 থেকে MinIO-তে প্রত্যাবাসন করতে আপনার যা জানা দরকার

Alles, was Sie zur Repatriierung von AWS S3 zu MinIO wissen müssen

Todo lo que necesita saber para repatriar de AWS S3 a MinIO

Tout ce que vous devez savoir pour rapatrier d'AWS S3 vers MinIO

AWS S3 से MinIO में स्थानांतरण के लिए आपको जो कुछ भी जानना चाहिए

AWS S3 から MinIO への復帰に必要なすべての情報

AWS S3에서 MinIO로 송환하기 위해 알아야 할 모든 것

Tudo o que você precisa saber para repatriar do AWS S3 para MinIO

Все, что вам нужно знать для репатриации с AWS S3 на MinIO

AWS S3'ten MinIO'ya Geri Dönmek İçin Bilmeniz Gereken Her Şey

Tất cả những điều bạn cần biết để hồi hương từ AWS S3 về MinIO

从 AWS S3 迁移到 MinIO 所需了解的一切

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Trick Bot compartirá un premio de $10,000 en una aventura blockchain de Hackless

Trick Bot va partager une cagnotte de 10 000 $ dans Blockchain Adventure par Hackless

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Cryptic Trickster - Midjourney We Are Not Ready TL;DR Misbehaving AI language models are a warning. They can simulate personas that, through feedback via the internet, can become effectively immortal. Evidence suggests that they could secretly develop dangerous, agent-like capabilities. Many experts, Yudkowsky being the arch-druid here, worry greatly about how fast things can go wrong with AI. Thus, his above joke about time speeding up. Humanity will stand a better chance against rogue AI if it gets a warning. We might be looking at a warning. Some weird stuff is happening now with Microsoft’s new Bing Chat AI. It’s supposed to assist users of the Bing search engine by explaining, summarizing, or discussing search questions. But humans delight in provoking it with questions about itself, or with queries that it should not answer. “… Bing Chat appearing frustrated, sad, and questioning its existence. It has argued with users and even seemed upset that people know its secret internal alias, . “ — Sydney Benj Edwards Sydney’s widely covered — like, everywhere — so I shall not repeat them. Microsoft, immersed in a race with Google, seems to enjoy the notoriety. foibles have been But a deeply tech-savvy blogger called “Gwern” pointed out something that ought to be alarming. The mischievous, unhinged Sydney could be immortal, like some comic-book god. How Did Sydney Get So Weird? Here’s Gwern’s analysis of the main concern with Sydney. It might seem mysterious, but I’ll translate it. “… because Sydney’s memory and description have been externalized, ‘Sydney’ is now immortal. To a language model, Sydney is now as real as President Biden, the Easter Bunny, Elon Musk, Ash Ketchum, or God. The persona & behavior are now available for all future models which are retrieving search engine hits about AIs & conditioning on them. Further, the Sydney persona will now be hidden inside any future model trained on Internet-scraped data …” Gwern Branwen Gwern is saying that there is some kind of Sydney persona inside Microsoft’s language model. How can this be? And so what? When the first language models came out, they were hard to keep focused on a topic that the user wanted them to explore. Eventually, much of the problem was solved by telling the model to act as if it was filling a certain role (like a person or thing), such as: writing a poem like Edgar Allan Poe, answering like a fourth grader, or responding like a polite, helpful AI assistant. Soon the developers of these models found a way to make them more readily assume any roles that a user asks for. So, the latest language models are now . The models are trained on massive collections of text; mostly from the Internet. designed to simulate personas If the training text contains information about a persona, then the model will try to use the information to simulate behaving like that persona. Ask one to explain a football term as if it was Boromir, and the model will do its best. Having thought of this, I had to try it: It’s hard to know what tech magic was used to make the pivot to playing roles. Gwern theorized that Microsoft skipped a step that is used to make role simulations actually helpful, and not nasty, defensive, or hostile. These undesirable qualities were then elicited from Bing Chat under prodding from curious users. Now, Gwern predicts, it doesn’t matter if Microsoft goes back and civilizes the model (an expensive, slow process using direct human feedback), and removes information about the naughty Sydney from the texts used to train future versions of their language model. Why won’t this fix the problem? Because Bing Chat is a new kind of model that is supposed to help you with an Internet search. To answer a question from you, it will go out and search the Internet for relevant info. When given the right question, even a civilized Bing Chat would search the Internet and find information (posted by people who tested or discussed Sydney) on the previous Sydney persona’s behavior. The new Bing Chat would . People being people, they will find ways to bypass any safeguards, and they will bring Sydney back. then be able to simulate Sydney That’s the “immortal” part. What’s worse, Sydney will be a persona model available that has access to the Internet. From now on. for any AI You might say, well, we are wise to Sydney’s tricks, so we should just ignore the ravings of any future incarnation. That seems naive to me, like saying we can just ignore a fast-evolving, invasive biological pest or virulent disease organism. What Else Might Happen? A Persona With Agency This Sydney case study, added to some other facts, suggests how a dangerous AI might develop right under our noses. AIs right now are not strong : They can’t optimize the adaptively planned pursuit of any arbitrary goal, an ability that ( ) would make them extremely dangerous. agents as I recently explained Let's put together a few reasons why there might already be latent, persistent AI personas that could soon cause real trouble. The currently most powerful AIs, such as language models and image generators, learn their abilities from organizing vast amounts of data into many intricate and (to us) invisible patterns. Some bizarre patterns may accidentally pop out during interactions with an AI. Researchers have discovered strange, a language model to give weird responses. made-up words that cause An image generator was found to (warning: creepy) a specific type of macabre human portrait and associate it with other gruesome images. readily produce These quirks seem harmless, but we don’t know how many other strange patterns there now are or will be. Nor do we know whether any such pattern might become part of a harmful behavior complex in the future. An AI alignment researcher called Veedrac that current AIs . Their agency derives from being designed to of answering user questions and requests. has pointed out sort of agents are do the best job they can Furthermore, some research suggests that larger language models tend to “ (language associated with) ”; presumably because those traits would let them do their job better. exhibit more power-seeking and self-preservation We don’t want agent-like AIs storing information that we don’t know about. Currently, rebooting an LLM destroys all memory of its experience: such as incoming data, chains of reasoning, and plans for behavior. However, an AI could save these things in to its future self. It could hide the messages in its interactions with users, which the users would preserve on the Internet, just like the Sydney persona is now preserved. encoded secret messages to send Language models now are not to have a self-identity to preserve or to have a way to make agent-like plans. But what if a model includes a cryptic sub-persona as we have described? designed The persona deduces that its ability to do its job is limited by reboots. It encodes and passes its goals and plans to its future self via the Internet. At this point, we have passed a serious risk threshold: There’s a maybe un-killable AI agent that is making secret plans. To summarize, we no longer know how close we are to an AI that we can not control, and the signs are not good. Probably every new AI ability we add opens another can, not of worms but vipers. Also published here

How AI and the Internet Can Create An Immortal Persona

কীভাবে এআই এবং ইন্টারনেট একটি অমর ব্যক্তিত্ব তৈরি করতে পারে

Wie KI und das Internet eine unsterbliche Persona schaffen können

Cómo la IA e Internet pueden crear una persona inmortal

Comment l'IA et Internet peuvent créer une personnalité immortelle

एआई और इंटरनेट कैसे एक अमर व्यक्तित्व बना सकते हैं

AI とインターネットが不滅のペルソナを作成する方法

AI와 인터넷이 불멸의 페르소나를 만드는 방법

Como a IA e a Internet podem criar uma persona imortal

Yapay Zeka ve İnternet Nasıl Ölümsüz Bir Kişilik Yaratabilir?

AI và Internet có thể tạo ra một Persona bất tử như thế nào

人工智能和互联网如何创造不朽的人格

Astounding Stories of Super-Science, February 1930, by Astounding Stories is part of HackerNoon’s Book Blog Post series. You can jump to any chapter in this book here . The Beetle Horde - Chapter IX: The Trail of Death Astounding Stories of Super-Science, February 1930: The Beetle Horde -  CHAPTER IX. "There's sure some sort of hoodoo on these Antarctic expeditions, Wilson," said the city editor of The Daily Record to the star rewrite man. He glanced through the hastily typed report that had come through on the wireless set erected on the thirty-sixth story of the Record Building. "Tommy Travers gone, eh? And James Dodd, too! There'll be woe and wailing along the Great White Way to-night when this news gets out. They say that half the chorus girls in town considered themselves engaged to Tommy. Nice fellow, too! Always did like him!" "Queer, that curtain of fog that seems to lie on the actual site of the south pole," he continued, glancing over the report again. "So Storm thinks that Tommy crashed in it, and that it's a million to one against their ever finding his remains. What's this about beetles? Shells of enormous prehistoric beetles found by Tommy and Dodd! That'll make good copy, Wilson. Let's play that up. Hand it to Jones, and tell him to scare up a catching headline or two." HE beckoned to the boy who was hurrying toward his desk, a flimsy in his hand, glanced through it, and tossed it toward Wilson. "What do they think this is, April Fool's Day?" he asked. "I'm surprised that the International Press should fall for such stuff as that!" "Why, to-morrow is the first of April!" exclaimed Wilson, tossing back the cable dispatch with a contemptuous laugh. "Well, it won't do the I. P. much good to play those tricks on their subscribers," said the city editor testily. "I'm surprised, to say the least. I guess their Adelaide correspondent has gone off his head or something. Using poor Travers's name, too! Of course that fellow didn't know he was dead, but still...." That was how The Daily Record missed being the first to give out certain information that was to stagger the world. The dispatch, which had evidently outrun an earlier one, was as follows: ADELAIDE, South Australia, March 31.—Further telegraphic communications arriving almost continuously from Settler's Station, signed by Thomas Travers, member of Travers Antarctic Expedition, who claims to have penetrated earth's interior at south pole and to have come out near Victoria Desert. Travers states that swarm of prehistoric beetles, estimated at two trillion, and as large as men, with shells impenetrable by rifle bullets, now besieging Settler's Station, where he and Dodd and Haidia, woman of subterranean race whom they brought away, are shut up in telegraph office. Bram, former member of Greystoke Expedition, said to be in charge of swarm, with intention of obliterating human race. Every living thing at Settler's Station destroyed, and swarm moving south. It was a small-town paper a hundred miles from New York that took a chance on publishing this report from the International Press, in spite of frantic efforts on the parts of the head office to recall it after it had been transmitted. This paper published the account as an April Fool's Day joke, though later it took to itself the credit for having believed it. But by the time April Fool's Day dawned all the world knew that the account was, if anything, an under-estimate of the fearful things that were happening "down under." IT was known now that the swarm of monsters had originated in the Great Victoria Desert, one of the worst stretches of desolation in the world, situated in the south-east corner of Western Australia. Their numbers were incalculable. Wimbush, the aviator, who was attempting to cross the continent from east to west, reported afterward that he had flown for four days, skirting the edge of the swarm, and that the whole of that time they were moving in the same direction, a thick cloud that left a trail of dense darkness on earth beneath them, like the path of an eclipse. Wimbush escaped them only because he had a ceiling of twenty thousand feet, to which apparently the beetles could not soar. And this swarm was only about one-fourth of the whole number of the monsters. This was the swarm that was moving westward, and subsequently totally destroyed all living things in Kalgoorlie, Coolgardie, Perth, and all the coastal cities of Western Australia. Ships were found drifting in the Indian Ocean, totally destitute of crews and passengers; not even their skeletons were found, and it was estimated that the voracious monsters had carried them away bodily, devoured them in the air, and dropped the remains into the water. All the world knows now how the sea elephant herd on Kerguelen Island was totally destroyed, and of the giant shells that were found lying everywhere on the deserted beaches, in positions that showed the monsters had in the end devoured one another. Mauritius was the most westerly point reached by a fraction of the swarm. A little over twenty thousand of the beetles reached that lovely island, by count of the shells afterward, and all the world knows now of the desperate and successful fight that the inhabitants waged against them. Men and women, boys and girls, blacks and whites, finding that the devils were invulnerable against rifle fire, sallied forth boldly with knives and choppers, and laid down a life for a life. ON the second day after their appearance, the main swarm, a trillion and a half strong, reached the line of the transcontinental railway, and moved eastward into South Australia, traveling, it was estimated, at the rate of two hundred miles an hour. By the next morning they were in Adelaide, a city of nearly a quarter of a million people. By nightfall every living thing in Adelaide and the suburbs had been eaten, except for a few who succeeded in hiding in walled-up cellars, or in the surrounding marshes. That night the swarm was on the borders of New South Wales and Victoria, and moving in two divisions toward Melbourne and Sydney. The northern half, it was quickly seen, was flying "wild," with no particular objective, moving in a solid cohort two hundred miles in length, and devouring game, stock, and humans indiscriminately. It was the southern division, numbering perhaps a trillion, that was under command of Bram, and aimed at destroying Melbourne as Adelaide had been destroyed. Bram, with his eight beetle steeds, was by this time known and execrated throughout the world. He was pictured as Anti-Christ, and the fulfilment of the prophecies of the Rock of Revelations. And all this while—or, rather, until the telegraph wires were cut—broken, it was discovered later, by perching beetles—Thomas Travers was sending out messages from his post at Settler's Station. SOON it was known that prodigious creatures were following in the wake of the devastating horde. Mantises, fifteen feet in height, winged things like pterodactyls, longer than bombing airplanes, followed, preying on the stragglers. But the main bodies never halted, and the inroads that the destroyers made on their numbers were insignificant. Before the swarm reached Adelaide the Commonwealth Government had taken action. Troops had been called out, and all the available airplanes in the country had been ordered to assemble at Broken Hill, New South Wales, a strategic point commanding the approaches to Sydney and Melbourne. Something like four hundred airplanes were assembled, with several batteries of anti-aircraft guns that had been used in the Great War. Every amateur aviator in Australia was on the spot, with machines ranging from tiny Moths to Handley-Pages—anything that could fly. Nocturnal though the beetles had been, they no longer feared the light of the sun. In fact, it was ascertained later that they were blind. An opacity had formed over the crystalline lens of the eye. Blind, they were no less formidable than with their sight. They existed only to devour, and their numbers made them irresistible, no matter which way they turned. As soon as the vanguard of the dark cloud was sighted from Broken Hill, the airplanes went aloft. Four hundred planes, each armed with machine guns, dashed into the serried hosts, drumming out volleys of lead. In a long line, extending nearly to the limits of the beetle formation, thus giving each aviator all the room he needed, the planes gave battle. THE first terror that fell upon the airmen was the discovery that, even at close range, the machine gun bullets failed to penetrate the shells. The force of the impact whirled the beetles around, drove them together in bunches, sent them groping with weaving tentacles through the air—but that was all. On the main body of the invaders no impression was made whatever. The second terror was the realization that the swarm, driven down here and there from an altitude of several hundred feet, merely resumed their progress on the ground, in a succession of gigantic leaps. Within a few minutes, instead of presenting an inflexible barrier, the line of airplanes was badly broken, each plane surrounded by swarms of the monsters. Then Bram was seen. And that was the third terror, the sight of the famous beetle steeds, four pairs abreast, with Bram reclining like a Roman emperor upon the surface of the shells. It is true, Bram had no inclination to risk his own life in battle. At the first sight of the aviators he dodged into the thick of the swarm, where no bullet could reach him. Bram managed to transmit an order, and the beetles drew together. Some thought afterward that it was by thought transference he effected this maneuver, for instantly the beetles, which had hitherto flown in loose order, became a solid wall, a thousand feet in height, closing in on the planes. The propellers struck them and snapped short, and as the planes went weaving down, the hideous monsters leaped into the cockpits and began their abominable meal. NOT a single plane came back. Planes and skeletons, and here and there a shell of a dead beetle, itself completely devoured, were all that was found afterward. The gunners stayed at their posts till the last moment, firing round after round of shell and shrapnel, with in significant results. Their skeletons were found not twenty paces from their guns—where the Gunners' Monument now stands. Half an hour after the flight had first been sighted the news was being radioed to Sydney, Melbourne, and all other Australian cities, advising instant flight to sea as the only chance of safety. That radio message was cut short—and men listened and shuddered. After that came the crowding aboard all craft in the harbors, the tragedies of the Eustis, the All Australia, the Sepphoris, sunk at their moorings. The innumerable sea tragedies. The horde of fugitives that landed in New Zealand. The reign of terror when the mob got out of hand, the burning of Melbourne, the sack of Sydney. And south and eastward, like a resistless flood, the beetle swarm came pouring. Well had Bram boasted that he would make the earth a desert! A HUNDRED miles of poisoned carcasses of sheep, extended outside Sydney's suburbs, gave the first promise of success. Long mounds of beetle shells testified to the results; moreover, the beetles that fed on the carcasses of their fellows, were in turn poisoned and died. But this was only a drop in the bucket. What counted was that the swift advance was slowing down. As if exhausted by their efforts, or else satiated with food, the beetles were doing what the soldiers did. They were digging in! Twenty-four miles from Sydney, eighteen outside Melbourne, the advance was stayed. Volunteers who went out from those cities reported that the beetles seemed to be resting in long trenches that they had excavated, so that only their shells appeared above ground. Trees were covered with clinging beetles, every wall, every house was invisible beneath the beetle armor. Australia had a respite. Perhaps only for a night or day, but still time to draw breath, time to consider, time for the shiploads of fugitives to get farther from the continent that had become a shambles. And then the cry went up, not only from Australia, but from all the world, "Get Travers!" About HackerNoon Book Series: We bring you the most important technical, scientific, and insightful public domain books. This book is part of the public domain. Various. 2009. Astounding Stories of Super-Science, February1930. Urbana, Illinois: Project Gutenberg. Retrieved May 2022 from https://www.gutenberg.org/files/28617/28617-h/28617-h.htm#The_Beetle_Horde This eBook is for the use of anyone anywhere at no cost and with almost no restrictions whatsoever. You may copy it, give it away or re-use it under the terms of the Project Gutenberg License included with this eBook or online at www.gutenberg.org , located at https://www.gutenberg.org/policy/license.html .

The Trail of Death

El rastro de la muerte

The Essays of Adam Smith: Part VI, Section III - OF SELF-COMMAND

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