AI's News Data Demand Spurs Publisher Resistance

It's Friday and Digital Frontiers of Data is here! ?In this edition we are going to discuss more about Global IPv6 Market Analysis, privacy concerns and about the fight between publishers and AI ??

Take your seat and prepare for more interesting details! ??

Generative AI job postings increase tenfold in the past year????

Companies are increasingly integrating generative AI into their strategies, leading to a surge in demand for AI experts. According to Indeed, generative AI job postings have increased tenfold in the past year and 75-fold over the past two years.

Despite this growth, AI jobs remain a small fraction of total listings, making up 0.12% globally and nearly 2% in the U.S. The high demand for AI expertise is driving up salaries, with AI jobs offering significantly higher pay than many other fields, with some positions starting at $450,000 per year.

Some AI-related job opportunities, such as AI documentation writer, project manager, and ethicist, do not require a computer science degree, though computer scientists are the most sought after, with nearly 30% of jobs in the field being AI-related last year.

According to a March study by Upwork, data science and analytics are the fastest-growing work categories, particularly for machine learning, data visualization, data extraction, and data engineering skills. Generative AI modeling is the fastest-growing skillset overall. While Indeed's data doesn't specify the most popular generative AI jobs, it highlights the high demand for individuals with mathematics and tech backgrounds in AI roles.

Humane Ai Pin owners warned to stop using charging case over fire risk????

Humane has warned Ai Pin device owners to stop using its charging case immediately due to a potential fire safety risk. This warning was communicated via email and comes just two months after the $700 device began shipping. The Ai Pin has also faced criticism for not meeting expectations as an AI-powered digital assistant.

Humane explained that after receiving a report about a charging issue, they inspected the case and discovered an anomaly with the battery cell inside. This prompted them to contact customers "out of an abundance of caution." The battery was supplied by a third party, with whom Humane has since severed ties. They are now searching for a new supplier.

Humane's Ai Pin, along with its magnetic Battery Booster and charging pad, can still be recharged despite current issues with the charging case. The company has not yet confirmed if it will provide a replacement charging case, stating it will share more information after further investigations.

To compensate for the inconvenience, Humane is offering two free months of its $24-a-month subscription service required to use the device. Emphasizing customer safety, Humane ensures its products meet U.S. and international safety standards. The Ai Pin, which offers AI-powered experiences without traditional apps and interacts via touch, talk, gesture, and a laser ink display, received mixed reviews upon its launch.

Google acquires Cameyo to bring Windows apps to ChromeOS????

Google has acquired Cameyo, a company specializing in virtualization tools for running Windows apps on ChromeOS devices, for an undisclosed amount. Cameyo CEO Andrew Miller and Google product lead Naveen Viswanatha announced that this acquisition will enhance ChromeOS by providing users with easier access to Windows apps, eliminating the need for complex installations or updates. They emphasized that integrating Cameyo's technology with ChromeOS will help businesses modernize their IT infrastructure while maintaining their current software investments.

Cameyo CTO Eyal Dotan co-founded the startup with Andrew Miller in January 2018 to create a platform for virtualizing Windows apps, allowing them to run on non-Windows machines and web browsers. Cameyo’s technology virtualizes apps and serves them from public clouds like AWS, private clouds, on-premises data centers, or hybrid cloud environments.

Last year, Google partnered with Cameyo to integrate features such as Windows app local file system integration and the delivery of virtual Windows apps as progressive web apps. This partnership and subsequent acquisition align with Google's strategy to promote ChromeOS in business and education sectors, offering organizations an attractive option to transition from Windows or to use both Windows and ChromeOS, especially as more apps migrate to cloud and web-based platforms.

Global IPv6 Market Analysis and Forecast 2024-2034, Featuring Key Players Cisco Systems, D-Link, Hewlett Packard Enterprise Development and Verizon????

The "Global IPv6 Market" report, added to ResearchAndMarkets.com's offerings, highlights key factors driving the market's growth in the digital sphere. With an optimistic outlook, the market is valued at $7.11 billion in 2024 and is projected to expand at a CAGR of 18.96%, reaching $40.39 billion by 2034.

The exhaustion of IPv4 addresses has spurred the urgent need for IPv6 adoption worldwide, driven by the rapid growth of IoT devices. While IPv6 offers extensive address space and enhanced security features, challenges such as legacy infrastructure compatibility and lack of awareness persist. However, embracing IPv6 presents opportunities for businesses to innovate in emerging markets like IoT and smart cities, leveraging its scalability and security to meet evolving customer demands and enhance cybersecurity defenses in an interconnected digital landscape.

Strong IPv6 adoption in North America reflects substantial investments in network infrastructure and technology in the region. Adoption rates are notably high, with the U.S. boasting approximately 70% adoption among the top domains. With the rapid expansion of the Internet of Things (IoT), IPv6 plays a crucial role in addressing scalability challenges posed by IPv4's limited address space, making it a critical enabler for IoT growth.

IPv6 presents a robust solution with its vast address space of 2^128 addresses, far surpassing IPv4's 4.3 billion. With an estimated 75 billion IoT devices worldwide by 2025, IPv6 adoption varies globally. Countries like Belgium boast adoption rates as high as 47%, indicating advanced IoT infrastructure integration, while other regions are in early stages of deployment. This diversity in adoption correlates with IoT growth and regional technological infrastructure development.

Key Market Players and Competition Synopsis

This report profiles key players in the global IPv6 market based on primary expert input and analysis of company coverage, product portfolio, and market penetration. Prominent companies include Cisco Systems Inc., D-Link Corporation, Hewlett Packard Enterprise Development, and Verizon. It addresses several questions such as the factors driving IPv6 adoption, competitor market shares, key partnerships shaping the industry, strategies for competitive advantage, growth prospects, market valuation, dominant product and application segments, impact of end-user demand, and geographical adoption trends.

AI’s Desperate Hunger For News Training Data Has Publishers Fighting Back????

The competition in the AI industry has intensified, with major players like Google, Meta, Anthropic, and OpenAI racing to create cutting-edge AI models. However, as these companies rapidly consume high-quality training data from the internet, some are resorting to controversial methods, such as mass scraping of news articles. In response, the journalism sector is pushing back against what is being labeled as the "largest theft in the United States." Here's an update on the escalating conflict between Big Tech's data-hungry AIs and a news industry striving to safeguard its content.

Several news organizations, such as Graham Media Group, The New York Times, The Guardian, Hearst, and Hubbard Broadcasting, have taken proactive measures to block AI chatbots like OpenAI’s ChatGPT and Google’s Gemini from accessing their websites. This list of blocked chatbots continues to expand rapidly.

The sudden alarm stems from concerns raised by publishers, analysts, and press freedom advocates who view the surge in AI scraping as a significant threat. They fear that allowing chatbots to be trained on news articles without proper oversight could exacerbate existing challenges related to misinformation and synthetic content on the internet, posing a threat not only to their business models but also to the fundamental integrity of journalism itself.

Vincent Berthier of Reporters Without Borders cautioned about the potential misuse of AI models to create tailored disinformation in an interview with VOA News. As media organizations grapple with the challenge of AI scraping, newsrooms are exploring various strategies to defend their content. One key approach involves updating terms of service to prohibit AI scraping. For instance, The New York Times banned scraping its content for machine learning purposes in August 2023, aiming to establish legal boundaries against unauthorized data scraping.

Many news websites are adopting measures to block web crawlers linked to AI chatbots by adding exclusions in their robots.txt files. However, this method has limitations, as it necessitates ongoing monitoring of new bots, and not all bots adhere to these restrictions. An AI chatbot typically doesn't comply with paywalls or robots.txt rules unless it's specifically programmed to do so. For instance, OpenAI disregarded robots.txt rules until August 2023. Despite these challenges, blocking crawlers remains an essential initial defense strategy against AI data scraping.

Attackers target old VPN accounts that relied on passwords????

Check Point Software reported attackers targeting remote-access VPNs from various cybersecurity vendors to exploit vulnerabilities in enterprise networks. Researchers identified a small number of login attempts on May 24 using old VPN local accounts that relied solely on password authentication. Special incident response teams were assembled to investigate and address these attempts promptly, with several potential affected customers identified within 24 hours.

According to Check Point researchers, security teams should contemplate employing a certificate-based approach to fortify their VPN gateways. They argue that relying solely on passwords does not provide the requisite level of security demanded by modern enterprise networks.

Patrick Tiquet, Vice President of Security and Architecture at Keeper Security, highlighted that Check Point's advisory underscores the importance for security teams to regularly update authentication methods to align with current best practices. Tiquet emphasized that relying solely on password authentication presents a significant vulnerability for attackers to exploit. He stressed the necessity for enterprises to implement a layered security approach, incorporating robust authentication methods, routine security evaluations, and prompt application of security patches.

Hackers Target Python Developers with Fake "Crytic-Compilers" Package on PyPI????

Security researchers have uncovered a malicious Python package on the Python Package Index (PyPI) repository aimed at distributing an information-stealing tool called Lumma (also known as LummaC2). The deceptive package, named crytic-compilers, mimics a legitimate library called crytic-compile but contains malicious code.

It was downloaded 441 times before being removed by PyPI maintainers. Ax Sharma, a security researcher at Sonatype, highlighted that the counterfeit package not only imitates the name of the legitimate utility but also synchronizes its version numbers with the authentic library.

The counterfeit "crytic-compilers" package mimics a legitimate library by synchronizing version numbers with the authentic utility, giving the false impression of being an updated component. Some versions of this package even install the genuine library to maintain the illusion.

However, the latest version reveals its malicious intent by launching an executable designed to deploy the Lumma Stealer, an information-stealing tool distributed through various methods, including malware-as-a-service (MaaS). Security researcher Ax Sharma emphasized that this discovery highlights sophisticated threat actors targeting Python developers and exploiting open-source registries like PyPI to distribute potent data theft tools.

AI Autonomy and the Future of Cybersecurity????

The prospect of Artificial Intelligence (AI) autonomously managing tasks may seem daunting, but under the right circumstances, it's not as intimidating as it appears. As AI continues to advance, questions arise about whether it will function independently like humans and what this means for cybersecurity.

The emergence of self-driving cars demonstrates AI's ability to operate with minimal human intervention, showcasing its impressive capabilities despite challenges and limitations. Balancing human oversight with AI autonomy is vital, underscoring the need to explore AI autonomy's impact on cybersecurity and leverage its potential to bolster cyber defense.

What is autonomous AI?

AI autonomy denotes the capability of Artificial Intelligence to function independently, make decisions, and carry out tasks without human intervention. Such autonomous AI systems have the capacity to automate mundane tasks and conduct intricate data analysis.

This autonomy empowers AI to scrutinize extensive datasets for insights that may elude human perception and adjust decisions promptly in response to real-time data, facilitating agile responses to evolving situations.

Parsing Json.load data in Python????

JSON (JavaScript Object Notation) has gained popularity in data exchange due to its simplicity and ease of comprehension. Python, a widely used programming language, boasts robust capabilities for handling JSON data. This article delves into the intricacies of processing JSON data in Python, with a particular emphasis on the json.load function and associated methods. It aims to provide comprehensive insights into converting JSON data into Python objects and vice versa, offering readers a solid understanding of these fundamental skills.

What Is JSON?

JSON, abbreviated from JavaScript Object Notation, is a data format designed to be both human-readable and machine-writable, making it easy to process and generate. It is based on two main structures:

1. An arrangement of name and value pairs, referred to as an object, dictionary, hash table, or associative array.
2. A structured assembly of values, typically recognized as an array, list, or sequence.

What is json.load?

The json.load function in Python is crucial for managing JSON data stored in files, facilitating the conversion of JSON files into Python objects like dictionaries or lists. It enables reading directly from a file object opened in read mode ('r') and requires correctly structured JSON data.

During the deserialization process, json.load converts JSON data into native Python data types, such as linking JSON objects to Python dictionaries and JSON arrays to Python lists. This simplifies data manipulation in Python code. Basic usage involves opening the JSON file and using json.load to read and convert its contents into a Python object.

Converting JSON string to Python object

When working with data exchange formats, it's frequent to transform a JSON string into a Python object. In Python, this can be achieved using the json.loads() function available in the json module. Let me guide you through the step-by-step process of this procedure.

Import the JSON Module: Before you can use json.loads(), you need to import the json module.

JSON String: Make sure you have your JSON string prepared. The string should follow the JSON format and be enclosed within double quotation marks.

Utilize json.loads(): This function parses the JSON string and converts it into a Python dictionary or other appropriate data structures within Python.

Result: The resulting Python object can be employed similarly to a dictionary or list within Python.

Converting JSON file to Python object

Handling errors that may occur during the conversion process is essential. One common problem is encountering a json.JSONDecodeError, indicating that the JSON string is improperly formatted.

The process of converting a Python object to a JSON string is called serialization or JSON encoding. This is commonly achieved using the json.dumps() function from the json module. Below is a comprehensive explanation of how this conversion operates:

Import the JSON Module: Before using json.dumps(), import the json module.

Python Object: Prepare your Python object, which could be a dictionary, list, tuple, string, etc.

Use json.dumps(): This function serializes the Python object into a JSON-formatted string.

Output: The resulting JSON string can be printed or used for data exchange.

Loading vs dumping

The Python json module comprises four functions: dump(), dumps(), load(), and loads(). Differentiating between them can be challenging. A helpful mnemonic is associating the letter ‘S’ with “String,” linking loads() to “load-s” (loading from a string) and dumps() to “dump-s” (dumping into a string). This distinction clarifies that load() and dump() operate with file objects, while loads() and dumps() handle string operations.

Discover the full article on IPWAY's blog.

Welcome to "Three Truths and a Lie"! We'll serve you up with four headlines, but only one is fibbing. Can you spot the rogue headline among the truth-tellers? Let the guessing games begin!

1. Elon Musk xAI plans to build a multibillion-dollar AI supercomputer in Memphis
2. Apple just admitted defeat to Android phones
3. How AI’s energy hunger upends IT’s procurement strategy
4. Boeing’s Starliner sends first astronauts home after some delays

Answer: Looks like Boeing's Starliner had a bit of a mix-up with their itinerary! Instead of sending astronauts home, they ended up sending them on an unexpected space adventure. Talk about a surprise vacation package! It just proves that even rockets can have a case of the Monday blues.????

Until next time, stay curious, stay tech-savvy, and we'll catch you in the next edition! ????

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No boring stuff here – just tech with a side of swagger! ????