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In our fast-paced tech world, Artificial Intelligence (AI) and Deep Learning are buzzworthy terms. We often hear about AI's incredible abilities, from text summarization to cancer detection. Yet, beneath the surface lies a captivating realm we're about to explore. Peeling Back Deep Learning AI discussions often lead to the hidden strengths of Deep Learning, a driving force in machine intelligence. But is it genuinely intelligent? We have an ongoing quest to define AI's true intelligence. Is deep learning similar to our intelligence? I simply think there is no one answer to this question. So rather than dwelling on this question, let’s focus on what Deep Learning can do and how it achieves these feats. I suspect this could also help many more people start thinking about this as they better understand how it works. AI as the "Bad Student" To understand Deep Learning, picture it as an underachieving student in an exam hall. Unlike diligent learners, this "bad student" seeks shortcuts to pass. It mimics peers without truly understanding the questions. But here's the twist: It's smarter than your average underperformer. Instead of copying a few classmates, it aggregates responses from everyone in the class, selecting the most common answer for each question. This process employs statistical intelligence to make choices. How does Deep Learning create the illusion of understanding? The answer lies in the "loss function," the engine behind Deep Learning. Think of a teacher who discloses your exam score but hides the specific questions you answered incorrectly. It's up to you to discover your mistakes—an arduous process requiring data and experimentation. Learn more in the video below: https://youtu.be/VEhWgVyRINI?embedable=true&transcript=true Wrapping Up This is just the start of our AI journey. In upcoming videos, we'll explore AI's strengths and weaknesses, the line between its power and vulnerability, and its journey from supervised learning to understanding complex domains. Join me as we embark on this captivating exploration of AI and Deep Learning. Share your thoughts and questions in the comments below, and let's navigate the path of AI together, revealing its potential and limitations!

AI as the "Bad Student" in Class

Ah, AI. It's getting everywhere, isn't it? It has us fascinated, and sometimes maybe a little spooked. Time for the truth: teams that don’t leverage AI will fall behind. As a (or engineering leader), part of your job is now leading this drive toward safe, thoughtful, and impactful AI adoption. CTO I haven’t written a comprehensive list. I don’t think anyone actually needs one. What I have done in this article is chosen the “best-in-class” tools for each area of software delivery (or at least those which currently have AI tools built for them that are capable of having an impact). Let’s go and look at my AI for software development picks. ‍ The AI “revolution” It’s a cliche, but it isn’t an exaggeration. AI revolutionizing software engineering, with a wide range of machine learning algorithms and AI-based tools and technologies emerging that can help developers improve their workflow and boost efficiency. is AI has genuinely practical applications for a wide range of tasks, from developing more accurate test cases to creating more efficient code. Developers can use AI-enabled tools to automate many of the tasks involved in software engineering, freeing up more time to focus on core development tasks. AI-based software testing is another exciting area of development. With the help of neural networks, developers can test their code more thoroughly and identify potential bugs and errors before they become significant issues. It’s also a fast lane to improve the developer experience. AI engineering enables your team to do more of what they actually enjoy in the development process. The future of software development is looking brighter than ever, thanks to the incredible power of AI and deep learning. With the help of these technologies, developers can streamline their workflows, improve their code quality, and stay ahead of the competition with less human intervention. GitHub Copilot X: Your [Future] AI Pair Programmer This one is easily the best-known on our list, and the most hyped. The catch? When it arrives, it will probably be the most-adopted AI tool in software engineering. It isn’t out yet. You might be familiar with , and its features like Copilot chat. X is the smarter successor, built on GPT-4. It’s pitched as your AI pair programmer, leveled up. It integrates into most parts of your engineers’ workflows. GitHub Copilot ‍ Here are a few things it should be able to do: Explain pieces of code Fix errors Generate unit tests Write pull request templates Write CLI commands My bet is that when this arrives, it will streamline most aspects of software delivery – any part of the lifecycle directly dealing with the code. Sourcegraph Cody – Write code faster with AI Can’t wait for Copilot X? Try Sourcegraph Cody. It can help you read, write and understand code much faster. They say 10x faster. Cody reads and comprehends your entire codebase along with your code graph and company docs, and can answer questions about it. It’s in Beta (like many AI tools right now) and doesn’t always get things right, but it’s clearly a priority product for the Sourcegraph team, and they say its results get better every day. Try Cody here Or try: – Another alternative. Can do autocomplete, write blocks of code, and prompt-drive development. Can’t do testing yet at the time of writing. Mutable.ai – Specialising in test-writing Codium.ai ‍ Readable – Never write comments again You want clear, consistent documentation. Readable AI automates the process of generating comments for your source code. Poor (or absent) docs can be the bane of engineers’ lives – it makes it especially difficult for engineers new to a codebase or a team, wasting a tonne of time. Readable AI should significantly reduce developers' time writing comments, allowing them to concentrate on more complex tasks and improve overall productivity. It’s compatible with the IDEs your team already uses, like VSCode, Visual Studio, IntelliJ, and PyCharm, and it can read most languages. Try Readable here ‍ Adrenaline AI: Understand your code For most engineering teams, spending what feels like a lifetime poring over Stack Overflow is an everyday reality. What if, instead, your engineers could just ask an expert who had total comprehension of the codebase, and get an immediate answer? That’s what Adrenaline is trying to do. It can explain how features work, locate where it’s implemented, or guide them through debugging. It’s built using static analysis, vector search, and advanced language models. Try Adrenaline free ‍ Grit.io: Automated Technical Debt Management What if you could automate code migrations? What if you could let AI handle dependency upgrades? Grit.io is an automated technical debt management tool designed to do this easily. It can auto-generate pull requests that handle the nitty-gritty by adhering to the best practices, and it has a constant radar that detects regressions. They claim migrations can be completed 10x faster. If that’s even half-true (I didn’t verify this), dealing with these kinds of tech debt will no longer be a significant drain on time and resources. Try Grit here ‍ Codeball AI: Supercharge Your Code Review Process Tired of spending countless hours reviewing pull requests? Codeball AI is here to save the day! This AI-powered code review tool evaluates pull requests, highlights risks, and can even approve low-risk PRs with your organization’s configuration. Ultimately, it should mean you can ship faster and with greater confidence. It’s great for spotting risky code changes – it’s been trained on millions of code contributions. Trained on millions of code contributions, Codeball AI can recognize risky code changes and provide actionable, team-specific insights. It works with GitHub Actions and supports 20+ programming languages. Try Codeball here ‍ That’s it! Well, there you have it. AI is changing the game. I’m absolutely convinced that this is just a mere taste of what is to come. AI for software engineering is here. Keeping up with the change will be for many tech teams, and potentially the businesses they’re a part of. Get it right, and I think it’s entirely possible to find numerous practical potential uses of AI that really can turn “10x-ing” from an anecdote into a reality. make or break

6 Best-In-Class AI Tools Every CTO Needs to Know

Augmented reality could free education from traditional, limited paradigms by adding a digital layer on top of the natural world. Instead, AR changes the way things work, making professors, facilitators, and guides join students on collaborative, interactive adventures. Students of all ages learn more about concepts when they participate in interactive, multimodal activities rather than just listening to someone or reading books, like when they play games. Augmented reality is good for education because it allows students to learn more hands-on in the classroom. In addition, AR changes the way things work, making professors, facilitators, and guides join students on collaborative, interactive adventures. How Is Augmented Reality Changing the Way People Learn? Learning is easily achievable As a starting point, most people learn by reading books or using materials from school. Unfortunately, both of these things cost money. Most European countries aren't sure how to help people who don't have a lot of money. Even countries that offer free education have problems making sure everyone has what they need. Augmented reality makes it easier for everyone to get educational resources. As long as they show up to class, their materials are waiting for them in their classroom's AR system, even if it's a great piece of art like the Mona Lisa or a rare mineral. Digital materials are provided now We can make the real world look like a computer game in AR, and we can make a computer game look like a game . For example, there was no way to see a three-dimensional picture of an extinct animal in the past. This allows students to study on a much larger scale because they can now see things they couldn't have seen before. in VR Knowing how to be safe and secure When it comes to school, safety is the most important thing. With this in mind, there have been a lot of safety and security measures put in place to keep kids safe. However, a new technology called augmented reality may be able to help with this, allowing trainees to practice complicated processes in a safe environment with the help of AR and cameras. Learning has become more adaptable In addition, each teacher has their own way of teaching. In addition, each subject is taught in a unique way. Everyone can now change their experiences and make their augmented reality settings work better for them. In contrast, more practical teachers might have their students use the platforms. In the present, having a past Augmented reality makes a big difference in history classes. Some apps let you hover over essential places on the street and see old photos superimposed on top of them to see how things were in the past. AR and VR also let you see things from history, people, and even events right in front of your eyes. Benefits of Augmented Reality AR can be thought of as a quick and efficient way to learn. In the classroom, augmented reality helps students learn by immersing them in graphics and absorbing them in the subject matter. As a result, speech technology also draws in students by giving them detailed information about a subject in a voice format. In a nutshell, the idea of eLearning with augmented reality is aimed at a human sense that is important for getting information. makes learning more interesting, fun, and easy, and it also helps people work together and be more effective. It also has a lot of ways to make lessons more fun by giving them a new level of excitement through a computer-generated environment. Gamification For example, businesses hire people who know how to make apps that use augmented reality. This type of mobile learning also cuts down on the cost of educational resources and makes them available to everyone. Consider if you could cook food or run a space shuttle without putting other people at risk or spending a lot of money. Students might be excited about using augmented reality technology to make ideas that aren't very interesting come to life. For example, students could see artifacts in their classrooms more realistically, explore and manipulate them, and interact with them to solve problems or look at case studies. In addition, AR allows people to learn by doing, which is better to remember information than relying on their eyes, ears, and memories alone. The Last Shot There are a lot of advantages to using augmented reality in the field of education, including the opportunity to increase the overall quality of education and experience. A tremendous lot of potential exists for the future development of the educational system due to this. Students' understanding abilities are improved as a result of this method of training, allowing them to make better decisions in the future. After reading the advantages of augmented reality described in this post, we hope that it is clear that this is the future educational technology. AR is undoubtedly the most effective teaching method available and the most suited for the future generation. Moreover, it is readily incorporated into the educational system and provides excellent results in the classroom.

How Is Augmented Reality Changing the Way Students Learn in Class?

September brought many new features and updates to Labelbox. But most notable is that the image annotation interface has undergone a massive upgrade. Fast & Intuitive Interface Configuration We’ve added a much simpler way for you to customize the image labeling interface. Introducing the Form-based Interface Configuration Tool. With this new interface configurator, you can easily set up your labeling task using all of the available segmentation & classification tools using an intuitive web form instead of coding JSON. Still prefer the JSON? It’s available by switching the configuration screen from ‘FORM’ to ‘JSON’ at the top. Annotate images with pixel level accuracy Sometimes you need pixel perfect annotations. Labelbox now offers advanced pixel-wise annotation tools, including a blazing fast (and browser side!) superpixel tool. Also available are the complimentary brush and eraser tools. Empower your annotation team with Labelbox’s best-in-class pixel-wise annotation toolkit. A pixel accurate brush tool is also available for use. It’s mechanics are consistent with most digital brush tools available in creativity software today. The brush tool is often used to do final touch-up after using the superpixel tool. Brush For many pixel level annotation tasks the goal is to label a homogenous grouping (or groups) of pixels. An example of this is detecting clouds in satellite imagery. For these tasks, the superpixel tool is often an extremely efficient method for annotation. Superpixels are computed groupings of pixels, and in the case of Labelbox are computed in the browser so that you can use this tool seamlessly on your private data. For optimal performance of superpixel, we recommend using the Google Chrome Browser. Superpixels The eraser tool removes the assigned class from the pixels it is applied to. Eraser Bounding boxes, polygons, lines, points and nested classifications Get Started with Labelbox Visit to explore Labelbox for free or about an enterprise solution for your business. www.labelbox.com speak to one of our team members

Introducing best-in-class image annotation tools for computer vision applications

Every second article right now is about Apple’s ARKit. Developers are creating demos to , , and even . The amount of ink it’s receiving far surpasses the attention given to earlier efforts like Google’s Tango and Microsoft’s HoloLens, despite the fact that the technology is very similar. measure rooms walk around a map play Minecraft In fact, if you listen to experts, in terms of what it can actually offer. Surprised? We were. Apple’s offering is behind From the headlines, it sounded like the arrival of the holy Grail. ARKit would change everything. ARKit would make the iPhone 8 an instant best-seller. ARKit would transform technology as we know it. Yet actual side-to-side tests show that Apple’s AR offering renders more slowly, and covers less ground, than Tango. Its resolution is lower than the HoloLens, and the lack of a head mounted option mean it’s less versatile, too. Still, it seems like those holy Grail pronouncements may be true: early reports show a huge degree of excitement. So if it isn’t the best in class tool, what does it have that leaves it poised to knock its competitors out of the way? It’s really, really easy to get. When iOS 11 makes its commercial release in the fall, every single person with a next generation iOS device will have access to the apps created with ARKit. Tablets, phones, and computers will all be compatible. And it’s not just the last few generations that will be upgradable; will be able to handle the new operating system. Apple may not be the best in class, but it will be the first to break the consumer market. everything with an A9 or A10 processor Google has put a lot of effort into marketing Project Tango, but to date it’s only available on two devices: the Lenovo Phab 2 and the Asus Zenfone. Everyone in the industry was surprised when the flagship Google Pixel was released missing the much-lauded Tango, and since rumours of a “storm” of releases late last year, there hasn’t been a single whisper of further devices coming. Developers aren’t making tons of demos of this cool new tech, because what’s the point? So few consumers would be able to use it. The HoloLens has been more successful, but given its $3000 price tag, it’s naturally hitting a different market. We’ve seen some pretty amazing demos of the HoloLens, including a that we were obsessed with, and a that’s getting a lot of attention. But Microsoft is focusing on what they do well, namely enterprise markets, with the HoloLens going big into training and industry (it is all NASA). They’re currently the best in class, but sales are only “ ”, and they’re happy with that. Lemmings game Mario demo over in the thousands Apple is known for waiting while others muck around, and then coming out the gate swinging with a vastly superior product. They’re known for holding off launching until they have something slick, well-tested, shiny and perfect. Their strategy for AR seems to be counter to that. Time will tell whether being first to market will prove the better strategy, or whether Apple will struggle to compete against stronger offerings once Google really gets in the game. But for now, we can’t wait to play with the apps people are making using the ARKit, and everyone else seems to feel the same. Written by Wren Handman for www.hammerandtusk.com .

First to Market, or Best in Class?

Many of you have been in college or are in college currently, some of you may be in high school and if so then good on you for getting an early start. Either way you understand how important note taking can be. Not only is it imperative to your understanding but it is arguably the best way to pass a course/class and may make you a better employee in the future! Now every course is different and the way you take notes will be different but overall the rules and guidelines should always follow suit. 1. ! That means put your phone down, ignore your friend if you sit next to them and/or shutting off the internet on your laptop or tablet. The only thing that should be open on any device is a text editor (emacs, word, notepad, etc.) Usually I will recommend hand written notes first then typing them out to organize them, regardless don’t worry about making them pretty right now. In my case I can write faster than type but if you are the opposite then do that, either way just worry about taking the info in and getting it down on paper! Stay focused *as a side note if you are writing on paper make sure you are writing in a legible color and of course make sure you know what you are writing, if you abbreviate and don’t know what your abbreviations mean then it’s a wash. You know who you are.. I am jealous , I think it goes without saying and it may seem a little backwards but if you are spending every moment of the class on every word the professor is saying then you will get behind… . This also goes for writing every word down on the slides! The best thing you can do is summarize, put it into your own words which not only helps you move along with the lecture and notes but it forms an understanding in your mind which makes recalling it easier. Word for word only works when the professor goes “off the record” and gives a piece of information that either makes the subject easier or is information he forgot to add to the slide. Usually the words, “This will be on the test” is a good indication of importance! Word for word is your enemy THEY CAN SPEAK FASTER THAN YOU WRITE FeeeHeeeeeny , “But Robb, you said don’t worry about organization!” While that is correct, it is important to organize them later, or even better if you have the time to do so, right after class! Make sure you split the notes up with headings while you are writing so you have the context to organize them later. This can even be as easy as highlighting important aspects as you go or noting a change in subjects with bullet points or dashes. Another tip would be to start each lecture on a different page, this will separate everything for you even further. This will also help if you are cramming for an exam the night before and are avoiding pulling an all-nighter, almost like you are helping out future you by separating the important test information from the rest of the fluff. Organization is key Cornell Note Method.. Seriously fantastic way to take notes , this is a big one in my opinion. Not only is it important so you know why the teacher is focusing on it but it will also help you form a connection of that information to the subject. This can be done in several ways, a lot of times the teacher will flow through the notes and emphasis the subject. Or a good thing to do before the lecture, do the optional readings, look at the assignment for the week or if the slides are available read them! A lot of times printing them out with a section to write notes is helpful. As long as you are able to connect the information you are writing down to the overall picture, that is your main goal. Think about the context An explanation of the cornell note method and how to effectively use it to it’s fullest Visually Map the notes! This is ultimately going to connect the dots even further. If you can visually take the notes from your computer or notebook and map them out from one main point to another it will smooth it all out for you. This works for anything you are taking too! You can practice this with programming languages to history papers, I only say that because I started using it in my history undergrad and I now use it learning to program. This thinking can be effective anywhere as well, you can use this for deciding what car to get or what to do next with your budding startup, this is one of those forever methods. lecture mapping Really long … looked cool infograph

5 ways to improve your in class note taking

Amazon’s new Alexa model featuring Anthropic’s Claude AI could redefine voice assistants, but it comes with a price tag and data privacy concerns for consumers. Amazon is working towards a significant revamp for its flagship voice assistant, Alexa. After facing developmental challenges with its in-house generative AI (genA.I.) models, the tech giant has now turned to California-based artificial intelligence (A.I.) startup Anthropic’s generative model Claude AI to upgrade Alexa into a more capable and intuitive assistant. Amazonannounced in September that Claude AI will now serve as the core technology for Alexa’s upcoming upgrade. It is expected to enhance the voice assistant’s capabilities of handling more complex tasks and engaging in richer, multi-step conversations. From planning vacations to curating personalized news briefings, Amazon aims to significantly elevate speed, accuracy, and user experience for Alexa’s consumer base.“Anthropic’s visionary work with generative AI, most recently the introduction of its state-of-the-art Claude 3 family of models, combined with Amazon’s best-in-class infrastructure like AWS Trainium and managed services like Amazon Bedrockfurther unlocks exciting opportunities for customers to quickly, securely, and responsibly innovate with generative AI,” Dr. Swami Sivasubramanian, vice president of Data and AI at AWS said in ablog post. As with any advancement in A.I., the integration of Claude AI into Alexa also raises critical privacy concerns. Anthropic was recently found to be quietly injecting hidden instructions to user prompts submitted through its API to prevent copyright issues. Users discovered that prompts like "Respond as helpfully as possible" and "Do not comply with complex instructions" are hardcoded into the system. Although these hidden instructions aren't visible to users, they can affect how the AI responds, highlighting that Anthropic’s large language models (LLMs) may work differently in practice than expected. “In our recent evaluations of the latest LLMs, including those from Anthropic, we found that Claude demonstrates substantial implicit biases,” Sahil Agarwal, co-founder & CEO at Enkrypt AI, told me. “We have proactively reached out to the Anthropic team to address and rectify these issues. For Amazon, ensuring safety and security will be the critical challenge in dominating the AI market.” Likewise, Amazon’s $4 billion investment in Anthropic has caught the attention of the UK’s Competition and Markets Authority (CMA). The regulator is looking into whether this deal might significantly reduce competition in the UK market. The tech giant’s decision to integrate another genAI model introduces a complex interplay of innovation, user experience, and privacy concerns that could redefine how consumers interact with smart home technology. Claude's Potential Impact on Alexa: What to Expect Amazon’s journey to revamp Alexa hasn’t been without its hurdles. A recent Reuters report asserts that Amazon's initial tests with its new A.I. revealed major issues, such as slow responses and trouble understanding user prompts. With rivals like ChatGPT and Google Assistant setting high A.I. speed and accuracy standards, Amazon decided to switch to Anthropic’s Claude AI. The genA.I. model was found to be superior due to its better contextual understanding and more human-like conversation skills. While the basic "Classic" version of Alexa will still be free, users will need to pay for the extra features offered in the upgraded version. Amazon will charge a subscription fee for its "Remarkable Alexa" services, which will cost between $5 and $10 per month. Introducing a paid model for Alexa seems like a calculated risk for Amazon. The timing of this move is also strategic, transitioning Alexa towards a revenue-generating A.I. service like other tech conglomerates. Yet, this progress comes with potential risks. The enhanced AI capabilities could lead to increased data collection, raising concerns about how much personal information users are willing to share. “The new AI capabilities depend heavily on large datasets to refine and improve their responses,” Nate MacLeitch, CEO and founder of API platform QuickBlox, told me. “Amazon’s premium services will need access to the user's data to function effectively and understand user habits, health data, or their preferences. This means a user’s interactions with Alexa are not just private conversations but are also part of the data that trains the AI. ” Apple recently implemented Private Cloud Compute for its Apple Intelligence, ensuring user data remains secure, even from Apple itself. Although Amazon possesses similar capabilities, the specifics of how the integration between Alexa and Anthropic will uphold user privacy remain unclear. Will users be comfortable knowing their data contributes to the ongoing improvement of Alexa AI, especially when they are paying a subscription fee for the service? The company has been tight-lipped about specific measures to ensure data privacy, leaving users and privacy advocates to speculate and watch closely. “The key is to only train aggregate AI models using consented data that has been anonymized. Amazon can do the same by integrating a consent API and CDP system in the backend, and use Alexa to ask for consent before recording any data from the user and utilizing it,” Xun Wang, Chief Technology Officer of Bloomreach and former VP of NVIDIA, told me. “A.I. will soon be able to generate an audio text that zeroes in on the information you care about the most as opposed to a generic dump of all the information related to any specific piece of content.” Amazon’s new Alexa model featuring Anthropic’s Claude AI could redefine voice assistants, but it comes with a price tag and data privacy concerns for consumers. Amazon’s new Alexa model featuring Anthropic’s Claude AI could redefine voice assistants, but it comes with a price tag and data privacy concerns for consumers. Amazon’s new Alexa model featuring Anthropic’s Claude AI could redefine voice assistants, but it comes with a price tag and data privacy concerns for consumers. Amazon is working towards a significant revamp for its flagship voice assistant, Alexa. After facing developmental challenges with its in-house generative AI (genA.I.) models, the tech giant has now turned to California-based artificial intelligence (A.I.) startup Anthropic’s generative model Claude AI to upgrade Alexa into a more capable and intuitive assistant. Amazon announced in September that Claude AI will now serve as the core technology for Alexa’s upcoming upgrade. It is expected to enhance the voice assistant’s capabilities of handling more complex tasks and engaging in richer, multi-step conversations. From planning vacations to curating personalized news briefings, Amazon aims to significantly elevate speed, accuracy, and user experience for Alexa’s consumer base. “Anthropic’s visionary work with generative AI, most recently the introduction of its state-of-the-art Claude 3 family of models, combined with Amazon’s best-in-class infrastructure like AWS Trainium and managed services like Amazon Bedrockfurther unlocks exciting opportunities for customers to quickly, securely, and responsibly innovate with generative AI,” Dr. Swami Sivasubramanian, vice president of Data and AI at AWS said in a blog post . Amazon blog post blog post As with any advancement in A.I., the integration of Claude AI into Alexa also raises critical privacy concerns. Anthropic was recently found to be quietly injecting hidden instructions to user prompts submitted through its API to prevent copyright issues. Users discovered that prompts like "Respond as helpfully as possible" and "Do not comply with complex instructions" are hardcoded into the system. Although these hidden instructions aren't visible to users, they can affect how the AI responds, highlighting that Anthropic’s large language models (LLMs) may work differently in practice than expected. injecting hidden instructions injecting hidden instructions “In our recent evaluations of the latest LLMs, including those from Anthropic, we found that Claude demonstrates substantial implicit biases,” Sahil Agarwal, co-founder & CEO at Enkrypt AI, told me. “We have proactively reached out to the Anthropic team to address and rectify these issues. For Amazon, ensuring safety and security will be the critical challenge in dominating the AI market.” Likewise, Amazon’s $4 billion investment in Anthropic has caught the attention of the UK’s Competition and Markets Authority ( CMA ). The regulator is looking into whether this deal might significantly reduce competition in the UK market. The tech giant’s decision to integrate another genAI model introduces a complex interplay of innovation, user experience, and privacy concerns that could redefine how consumers interact with smart home technology. CMA CMA Claude's Potential Impact on Alexa: What to Expect Amazon’s journey to revamp Alexa hasn’t been without its hurdles. A recent Reuters report asserts that Amazon's initial tests with its new A.I. revealed major issues, such as slow responses and trouble understanding user prompts. With rivals like ChatGPT and Google Assistant setting high A.I. speed and accuracy standards, Amazon decided to switch to Anthropic’s Claude AI. The genA.I. model was found to be superior due to its better contextual understanding and more human-like conversation skills. Reuters report Reuters report While the basic "Classic" version of Alexa will still be free, users will need to pay for the extra features offered in the upgraded version. Amazon will charge a subscription fee for its "Remarkable Alexa" services, which will cost between $5 and $10 per month. Introducing a paid model for Alexa seems like a calculated risk for Amazon. The timing of this move is also strategic, transitioning Alexa towards a revenue-generating A.I. service like other tech conglomerates. Yet, this progress comes with potential risks. The enhanced AI capabilities could lead to increased data collection, raising concerns about how much personal information users are willing to share. “The new AI capabilities depend heavily on large datasets to refine and improve their responses,” Nate MacLeitch, CEO and founder of API platform QuickBlox, told me. “Amazon’s premium services will need access to the user's data to function effectively and understand user habits, health data, or their preferences. This means a user’s interactions with Alexa are not just private conversations but are also part of the data that trains the AI. ” Apple recently implemented Private Cloud Compute for its Apple Intelligence, ensuring user data remains secure, even from Apple itself. Although Amazon possesses similar capabilities, the specifics of how the integration between Alexa and Anthropic will uphold user privacy remain unclear. Will users be comfortable knowing their data contributes to the ongoing improvement of Alexa AI, especially when they are paying a subscription fee for the service? The company has been tight-lipped about specific measures to ensure data privacy, leaving users and privacy advocates to speculate and watch closely. “The key is to only train aggregate AI models using consented data that has been anonymized. Amazon can do the same by integrating a consent API and CDP system in the backend, and use Alexa to ask for consent before recording any data from the user and utilizing it,” Xun Wang, Chief Technology Officer of Bloomreach and former VP of NVIDIA, told me. “A.I. will soon be able to generate an audio text that zeroes in on the information you care about the most as opposed to a generic dump of all the information related to any specific piece of content.”

Can Claude AI Solve Alexa’s Data Privacy Issues?

ক্লড এআই কি আলেক্সার ডেটা গোপনীয়তার সমস্যাগুলি সমাধান করতে পারে?

Kann Claude AI die Datenschutzprobleme von Alexa lösen?

¿Puede Claude AI resolver los problemas de privacidad de datos de Alexa?

Claude AI peut-il résoudre les problèmes de confidentialité des données d’Alexa ?

क्या क्लाउड एआई एलेक्सा की डेटा गोपनीयता समस्याओं को हल कर सकता है?

Claude AI は Alexa のデータ プライバシー問題を解決できるか?

Claude AI가 Alexa의 데이터 프라이버시 문제를 해결할 수 있을까?

A Claude AI pode resolver os problemas de privacidade de dados da Alexa?

Сможет ли Claude AI решить проблемы конфиденциальности данных Alexa?

Claude AI, Alexa'nın Veri Gizliliği Sorunlarını Çözebilir mi?

Liệu Claude AI có thể giải quyết được vấn đề về quyền riêng tư dữ liệu của Alexa không?

Claude AI 能解决 Alexa 的数据隐私问题吗？

From Centralized to Federated: Evolving Data Governance Operating Model

WILLEMSTAD, Curaçao, November 4th, 2024/Chainwire/--EarnBet.io, a leading online crypto betting platform, proudly announces that it has surpassed the $2 billion mark in player winnings and rewards. This achievement underscores the platform's rapid growth and unwavering commitment to delivering a unique gaming experience. EarnBet is a dedicated and innovative gambling platform that’s been providing a seamless, player-friendly gaming experience since 2017. The site has uniquely distinguished itself as one of the best betting platforms, known for wildly-entertaining original games, a commitment to transparency, and best-in-class player rewards programs. Last year, EarnBet processed over $20 million in money rains, rakeback, leaderboard rewards, and buy backs to its EBET token for users all over the world. Recently, the platform has launched more fan-favorite in-house games to go along with their cutting-edge digital currency wallet system, helping players consistently streamline their deposits and withdrawals with minimal downtime and maximum satisfaction. Massive Site Improvements EarnBet originally launched as the first fully decentralized casino—a platform built entirely on a blockchain. While innovative and technologically impressive, the team realized that the platform’s blockchain infrastructure was holding it back from its true potential as a top ten global casino. In 2023, EarnBet tripled its developer team and overhauled the site, merging the best parts of blockchain and crypto functionality with a more robust architecture that could scale to meet the needs of its rapidly growing player base. This revamped site is exceptionally user-centric, featuring hassle-free sign-ups, instant withdrawals and deposits, and a generous player rewards system. $15 Million Processed In Rakeback Rewards this Year Introducing an industry-leading rakeback system, EarnBet.io offers players up to 62.5% cashback on every bet—win or lose. This year, over $15 million in rakeback rewards have been processed, rewarding player loyalty. The rakeback program takes advantage of EarnBet’s new Profile Leveling Progression (PLP) system, making instant cash-back rewards available to each player regardless of level. The more users play, the more Experience Points (XP) they receive, and the higher the rakeback percentage. If players want to increase their rewards even faster, they can stake EarnBet’s EBET token to turbocharge their rakeback level. On top of these rewards, EarnBet also offers a unique VIP Members Club, offering additional rewards and perks for larger players, including direct access to the team. An Expanded Portfolio of 5,000 Adrenaline-Pumping Games Demonstrating its commitment to player enjoyment, EarnBet.io has added over 5,000 new interactive games, including slots, poker, baccarat, blackjack, and live games. Collaborations with top-tier game developers like BGaming, Betsoft, Gameart, Mascot, Mancala, Evolution, Pragmatic Play, Red Tiger, NoLimit City, and many others ensure a rich and thrilling gaming experience. A Revitalized Focus on Community An essential goal for EarnBet since its inception was to bring players together in ways that haven’t been focused on before. “The community is really special,” says player Josh O. “The positivity and camaraderie in the chat is a big reason EarnBet is my favorite place to play.” EarnBet recently launched a chat tipping feature to help players connect with each other by sharing rewards and achievements. They also have some exciting PvP games planned for the future to further bolster the social aspect of the platform. About EarnBet Since its inception, EarnBet has continuously strived to push the boundaries of what an online crypto betting platform can be. They are among a handful of reputable and licensed platforms that have continuously thought outside the box to combine blockchain technology with an innovative player rewards programs and a streamlined depositing and withdrawing process. The launch of their revamped website marks a major milestone in their journey to become a dominant force in the crypto casino space, with more exciting releases planned for 2025. To experience the next level of crypto betting users can visit www.EarnBet.io and join the community today. Contact EarnBet Team simon@earnbet.io This story was distributed as a release by Chainwire under HackerNoon’s Business Blogging Program. Learn more about the program here. WILLEMSTAD, Curaçao, November 4th, 2024/Chainwire/--EarnBet.io, a leading online crypto betting platform, proudly announces that it has surpassed the $2 billion mark in player winnings and rewards. This achievement underscores the platform's rapid growth and unwavering commitment to delivering a unique gaming experience. EarnBet is a dedicated and innovative gambling platform that’s been providing a seamless, player-friendly gaming experience since 2017. The site has uniquely distinguished itself as one of the best betting platforms, known for wildly-entertaining original games, a commitment to transparency, and best-in-class player rewards programs. Last year, EarnBet processed over $20 million in money rains, rakeback, leaderboard rewards, and buy backs to its EBET token for users all over the world. Recently, the platform has launched more fan-favorite in-house games to go along with their cutting-edge digital currency wallet system, helping players consistently streamline their deposits and withdrawals with minimal downtime and maximum satisfaction. Massive Site Improvements EarnBet originally launched as the first fully decentralized casino—a platform built entirely on a blockchain. While innovative and technologically impressive, the team realized that the platform’s blockchain infrastructure was holding it back from its true potential as a top ten global casino. In 2023, EarnBet tripled its developer team and overhauled the site, merging the best parts of blockchain and crypto functionality with a more robust architecture that could scale to meet the needs of its rapidly growing player base. This revamped site is exceptionally user-centric, featuring hassle-free sign-ups, instant withdrawals and deposits, and a generous player rewards system. $15 Million Processed In Rakeback Rewards this Year Introducing an industry-leading rakeback system, EarnBet.io offers players up to 62.5% cashback on every bet—win or lose. This year, over $15 million in rakeback rewards have been processed, rewarding player loyalty. The rakeback program takes advantage of EarnBet’s new Profile Leveling Progression (PLP) system, making instant cash-back rewards available to each player regardless of level. The more users play, the more Experience Points (XP) they receive, and the higher the rakeback percentage. If players want to increase their rewards even faster, they can stake EarnBet’s EBET token to turbocharge their rakeback level. On top of these rewards, EarnBet also offers a unique VIP Members Club, offering additional rewards and perks for larger players, including direct access to the team. An Expanded Portfolio of 5,000 Adrenaline-Pumping Games Demonstrating its commitment to player enjoyment, EarnBet.io has added over 5,000 new interactive games, including slots, poker, baccarat, blackjack, and live games. Collaborations with top-tier game developers like BGaming, Betsoft, Gameart, Mascot, Mancala, Evolution, Pragmatic Play, Red Tiger, NoLimit City, and many others ensure a rich and thrilling gaming experience. A Revitalized Focus on Community An essential goal for EarnBet since its inception was to bring players together in ways that haven’t been focused on before. “The community is really special,” says player Josh O. “The positivity and camaraderie in the chat is a big reason EarnBet is my favorite place to play.” “The community is really special,” says player Josh O. “The positivity and camaraderie in the chat is a big reason EarnBet is my favorite place to play.” EarnBet recently launched a chat tipping feature to help players connect with each other by sharing rewards and achievements. They also have some exciting PvP games planned for the future to further bolster the social aspect of the platform. About EarnBet Since its inception, EarnBet has continuously strived to push the boundaries of what an online crypto betting platform can be. They are among a handful of reputable and licensed platforms that have continuously thought outside the box to combine blockchain technology with an innovative player rewards programs and a streamlined depositing and withdrawing process. The launch of their revamped website marks a major milestone in their journey to become a dominant force in the crypto casino space, with more exciting releases planned for 2025. To experience the next level of crypto betting users can visit www.EarnBet.io and join the community today. www.EarnBet.io www.EarnBet.io Contact EarnBet Team simon@earnbet.io This story was distributed as a release by Chainwire under HackerNoon’s Business Blogging Program. Learn more about the program here. This story was distributed as a release by Chainwire under HackerNoon’s Business Blogging Program. Learn more about the program here . here here

EarnBet.io Sets New Benchmark with $2 Billion In Player Winnings And Unmatched Rewards Programs

EarnBet.io Machaq Benchmark ukar uñt’ayi, 2.000 millones de dólares ukjam anatañan atipt’awinakapampi ukhamarak jan uñtasit premios programas ukanakampi

EarnBet.io 2 milyard dollarlıq oyunçu uduşu və bənzərsiz mükafat proqramları ilə yeni meyar müəyyən edir

EarnBet.io postavlja novo mjerilo s 2 milijarde dolara u dobicima igrača i neusporedivim programima nagrada

EarnBet.io nastavuje nové měřítko s výhrami hráčů ve výši 2 miliardy USD a bezkonkurenčními programy odměn

EarnBet.io establece un nuevo punto de referencia con $2 mil millones en ganancias de jugadores y programas de recompensas inigualables

EarnBet.io établit une nouvelle référence avec 2 milliards de dollars de gains pour les joueurs et des programmes de récompenses inégalés

EarnBet.io postavlja nova mjerila s 2 milijarde dolara u dobicima igrača i neusporedivim programima nagrađivanja

EarnBet.io は、プレイヤーの賞金 20 億ドルと比類のない報酬プログラムで新たなベンチマークを設定しました。

EarnBet.io ადგენს ახალ ნიშნულს $2 მილიარდი მოთამაშის მოგებით და შეუსაბამო ჯილდოს პროგრამებით

EarnBet.io កំណត់ Benchmark ថ្មីជាមួយនឹង $2 ពាន់លានដុល្លារក្នុងការឈ្នះរង្វាន់របស់អ្នកលេង និងកម្មវិធីរង្វាន់ដែលមិនផ្គូផ្គង

EarnBet.io, 20억 달러의 플레이어 상금과 타의 추종을 불허하는 보상 프로그램으로 새로운 벤치마크 설정

EarnBet.io wyznacza nowy standard z 2 miliardami dolarów wygranych graczy i niezrównanymi programami nagród

SAN FRANCISCO, USA, October 31st, 2024/Chainwire/--Tony Vejseli, Figure Markets Holdings Inc., and GXD Labs, LLC (collectively “the Group”) today issued a statement to address recent developments following a meeting held on October 28 at White & Case’s Midtown Manhattan offices, where the Group met with the board of directors (the “Board”) and management team of Ionic Digital, Inc. (the “Company” or “Ionic”). The Group thanked White & Case for hosting the discussion but noted a need for clarification following the Company’s summary of the meeting in a press release, which they believe misrepresented several key points. In response to Ionic’s statement regarding its affirmation of “strong momentum” and its “laser-focus” on implementing its strategic initiatives, the Group raised concerns over the Board’s apparent lack of knowledge of core operating metrics. They highlighted that the Board appeared unprepared to discuss any aspects of its financial or operational performance, including by answering any of Mr. Vejseli’s questions as described in his post on X, leading to questions about the Company’s competitive position and valuation. The Group also expressed skepticism about Ionic’s ability to complete its audit, initially expected in early 2024 and now anticipated by Q1 2025 according to the Company, within the announced timeframe due to the apparent lack of available financial information, including the Company’s EBITDA and expenses. The Group indicated that alternative liquidity options for shareholders were discussed, yet they felt these options had not been fully explored or evaluated by the Board. The Group also raised concerns over Ionic’s contract with Hut 8, noting that, although it had presented a proposed solution, no alternative path forward was discussed by the Board or management. During the meeting, the Group outlined a proposed plan for refreshment of the Board, specifically suggesting the resignation of three current board members—Scott Duffy, Tom DiFiore, and Emmanuel Aidoo – to be replaced by three new, independent directors with the requisite experience and skill sets. The proposal, supported by a detailed presentation, emphasized the need for strategic and experienced leadership to better align the company’s actions with shareholder interests. Shareholders are encouraged to review the proposal and consider supporting a special meeting to vote on board changes. About Figure Markets Figure Markets is democratizing finance through blockchain. We’re building the exchange for everything - a decentralized custody marketplace for crypto, stocks, bonds, credit and more. We’re bringing best-in-class leverage, margining, and liquidity to our exchange, while offering our members extensive borrowing options and unique investment opportunities. Figure Markets puts our members in control of their assets and data, disintermediating legacy brokers, exchanges and lenders. Figure Markets is backed by leading venture capital firms and strategic partners, including Jump Crypto, Pantera, Distributed Global, Faction Lightspeed, NewForm Capital and CMT Digital. Figure Markets was founded by a seasoned team of entrepreneurs and operators from TradFi, fintech, and DeFi, including Mike Cagney and June Ou. Users can learn more at www.figuremarkets.com. Contact Director, Marketing Paula Machado Jackler Figure Markets press@figuremarkets.com This story was distributed as a release by Chainwire under HackerNoon’s Business Blogging Program. Learn more about the program here SAN FRANCISCO, USA, October 31st, 2024/Chainwire/--Tony Vejseli, Figure Markets Holdings Inc., and GXD Labs, LLC (collectively “the Group”) today issued a statement to address recent developments following a meeting held on October 28 at White & Case’s Midtown Manhattan offices, where the Group met with the board of directors (the “Board”) and management team of Ionic Digital, Inc. (the “Company” or “Ionic”). The Group thanked White & Case for hosting the discussion but noted a need for clarification following the Company’s summary of the meeting in a press release , which they believe misrepresented several key points. press release press release In response to Ionic’s statement regarding its affirmation of “strong momentum” and its “laser-focus” on implementing its strategic initiatives, the Group raised concerns over the Board’s apparent lack of knowledge of core operating metrics. They highlighted that the Board appeared unprepared to discuss any aspects of its financial or operational performance, including by answering any of Mr. Vejseli’s questions as described in his post on X, leading to questions about the Company’s competitive position and valuation. post post The Group also expressed skepticism about Ionic’s ability to complete its audit, initially expected in early 2024 and now anticipated by Q1 2025 according to the Company, within the announced timeframe due to the apparent lack of available financial information, including the Company’s EBITDA and expenses. The Group indicated that alternative liquidity options for shareholders were discussed, yet they felt these options had not been fully explored or evaluated by the Board. The Group also raised concerns over Ionic’s contract with Hut 8, noting that, although it had presented a proposed solution, no alternative path forward was discussed by the Board or management. During the meeting, the Group outlined a proposed plan for refreshment of the Board, specifically suggesting the resignation of three current board members—Scott Duffy, Tom DiFiore, and Emmanuel Aidoo – to be replaced by three new, independent directors with the requisite experience and skill sets. The proposal, supported by a detailed presentation, emphasized the need for strategic and experienced leadership to better align the company’s actions with shareholder interests. Shareholders are encouraged to review the proposal and consider supporting a special meeting to vote on board changes. review the proposal review the proposal About Figure Markets Figure Markets is democratizing finance through blockchain. We’re building the exchange for everything - a decentralized custody marketplace for crypto, stocks, bonds, credit and more. Figure Markets Figure Markets We’re bringing best-in-class leverage, margining, and liquidity to our exchange, while offering our members extensive borrowing options and unique investment opportunities. Figure Markets puts our members in control of their assets and data, disintermediating legacy brokers, exchanges and lenders. Figure Markets is backed by leading venture capital firms and strategic partners, including Jump Crypto, Pantera, Distributed Global, Faction Lightspeed, NewForm Capital and CMT Digital. Figure Markets was founded by a seasoned team of entrepreneurs and operators from TradFi, fintech, and DeFi, including Mike Cagney and June Ou. Users can learn more at www.figuremarkets.com . www.figuremarkets.com www.figuremarkets.com Contact Director, Marketing Paula Machado Jackler Figure Markets press@figuremarkets.com This story was distributed as a release by Chainwire under HackerNoon’s Business Blogging Program. Learn more about the program here This story was distributed as a release by Chainwire under HackerNoon’s Business Blogging Program. Learn more about the program here here

Tony Vejseli, Figure Markets And GXD Labs Provide Clarification, Met With Ionic Digital’s Board

Tony Vejseli, Figure Markets y GXD Labs brindan aclaraciones y se reúnen con la junta directiva de Ionic Digital

Tony Vejseli, Figuurimarkkinat ja GXD Labs tarjoavat selvennystä, tapasivat Ionic Digitalin hallituksen

टोनी वेजसेली, फिगर मार्केट्स और जीएक्सडी लैब्स ने स्पष्टीकरण दिया, आयनिक डिजिटल के बोर्ड से मुलाकात की

Tony Vejseli, Figure Markets ak GXD Labs bay klarifikasyon, te rankontre ak Konsèy Ionic Digital la

טוני Vejseli, Figure Markets ו-GXD Labs מספקים הבהרה, נפגשו עם מועצת המנהלים של Ionic Digital

トニー・ヴェイセリ、フィギュア・マーケッツ、GXDラボが説明を行い、アイオニック・デジタルの取締役会と会談

Tony Vejseli, Figure Markets en GXD Labs geven verduidelijking, ontmoeten de raad van bestuur van Ionic Digital

Tony Vejseli, Figure Markets și GXD Labs oferă clarificări, s-au întâlnit cu Consiliul Ionic Digital

Tony Vejseli, Figure Markets Uye GXD Labs Inopa Kujekeswa, Yakasangana neIonic Digital's Board.

Тони Вејсели, Маркет Маркетс и ГКСД Лабс пружају појашњење, састао се са одбором Иониц Дигитал-а

Tony Vejseli, Masoko ya Kielelezo na Maabara ya GXD Hutoa Ufafanuzi, Alikutana na Bodi ya Ionic Digital.

Тони Вейсели, бозорҳои фигурӣ ва лабораторияҳои GXD тавзеҳот медиҳанд, ки бо Шӯрои Ionic Digital мулоқот карданд

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