In this episode of the Cognixia podcast, the discussion centers on a recent lawsuit filed by Dow Jones and the New York Post against Perplexity AI. The publishers accuse Perplexity of using their copyrighted content without authorization for its AI-generated summaries, a practice they argue undercuts content discoverability and revenue. Unlike Google, which supports content discovery through its AI summaries, Perplexity allegedly bypasses this, impacting publishers’ revenue models. The lawsuit also highlights concerns over "hallucinated" content, where Perplexity generates false information. This ongoing legal battle underscores tensions between media companies and AI firms over content usage rights and compensation.

The cognixia podcast discusses the significance of networks, particularly 5G and the upcoming 6G, which is expected to roll out by 2030. While 6G will offer faster speeds and minimal latency, India faces challenges, particularly a lack of skilled professionals and underdeveloped infrastructure. Although India has ambitious goals for 6G patents and standards, significant gaps remain, especially in workforce readiness and infrastructure investment. The country also needs to enhance its global presence in technology committees and increase research funding. As India strives to be a leader in 6G, the podcast highlights the importance of upskilling and sustainability efforts.

The Cognixia Podcast discusses the 2024 Nobel Prize in Physics, awarded to AI pioneers John Hopfield and Geoffrey Hinton. Their work in artificial neural networks, foundational to modern AI, stems from principles in physics. Hopfield created a network mimicking atomic spin to save and reconstruct data patterns, while Hinton advanced this with the Boltzmann Machine, which autonomously recognizes patterns in data using statistical physics. The podcast highlights how physics has played a crucial role in AI’s development, emphasizing the interconnectedness of scientific fields and urging listeners to keep learning and evolving their skills.

This episode of the Cognixia Podcast covers the new Windows 11 24H2 update, highlighting its AI-powered features, enhanced security, and improved user experience. Key upgrades include support for Wi-Fi 7, a redesigned File Explorer, and features like customizable energy-saving modes, advanced assistive hearing aids, and better privacy settings. Developers and IT professionals benefit from the new sudo commands, Rust support, and enhanced cybersecurity features. The episode explains how users can access the update through Windows Update services and emphasizes the importance of staying updated for improved security and performance. The episode concludes with a reminder to check out their festive offers.

This episode from the Cognixia Podcast explores how to monetize an API using AWS services, particularly the Amazon API Gateway. It covers key challenges like managing subscriptions, handling payments globally, and controlling API access. The episode suggests using the AWS Marketplace to sell APIs but notes that it limits potential customers to AWS users. Alternatives include broader API marketplaces like Rapid API, or subscription platforms like Stripe and FastSpring. It explains how combining API Gateway, Lambda functions, and a payment platform can create a functional API monetization system, emphasizing careful marketplace selection and usage plan considerations.

This episode from the Cognixia Podcast discusses the increasing incidents of email-based security breaches in Critical National Infrastructure (CNI) companies, which include utilities, transport, telecom, data centers, and more. It highlights how cyberattackers are using emails as a primary method to infiltrate CNI organizations, with ransomware attacks on the rise. A report by OPSWAT shows that 80% of CNI companies experienced email-related breaches in 2023, and many organizations still underestimate email risks. The episode also explains that legacy systems and outdated infrastructure make CNI companies especially vulnerable to these cyberattacks.

It discusses the UK’s recent move to classify data centers as CNI, emphasizing the need for stronger security and government support for these facilities. The episode also touches on the global vulnerability of CNI organizations due to the reliance on legacy systems, which can be 20-30 years old. A key takeaway is the need for innovation and updating systems in CNI companies to prevent future cyberattacks. Finally, the episode reflects on how email-based threats could severely impact these organizations and stresses the importance of improving cybersecurity.

This episode of the Cognixia podcast discusses the global semiconductor chip shortage, which started in 2020 due to the Covid-19 pandemic. The shortage is driven by supply chain disruptions, high demand across industries, and challenges in chip production, which can take up to six months. Factors like trade wars, natural disasters, and export restrictions from China have worsened the issue. Despite production improvements, shortages persist, impacting industries like automotive and IoT. However, the future looks bright, with the semiconductor market expected to grow, potentially reaching $1 trillion by 2030, driven by demand in automotive, data storage, and wireless technology.

The Cognixia podcast discusses the latest update from Microsoft in Power BI, enabling users to write DAX queries via the web interface. Previously only available in Power BI Desktop, this feature allows users to create calculations, build models, and perform advanced data analysis. DAX (Data Analysis Expressions) is highlighted as a powerful tool for extracting insights from data through custom measures and statistical analysis. However, limitations remain on the web version, such as disappearing queries and the inability to save them like in the desktop version. Future updates are anticipated to enhance web features further.

The cognixia podcast discusses the rise of the Mojo programming language, which raised $100 million in funding in 2024. Mojo combines Python's ease of use with the performance of C, making it a potential game-changer, especially in AI development. While some wonder if Mojo will replace Python, the podcast suggests that Mojo complements Python by improving performance without sacrificing user-friendliness. Mojo is considered more of a competitor to C++ than Python. For AI programmers, learning both Python and Mojo is recommended, as each offers unique strengths that will help meet the evolving needs of AI development.

In this Cognixia podcast episode, the focus is on ErLang, a programming language with high median salaries, surpassing even popular languages like Python and Rust, as per the 2024 Stack Overflow Developer Survey. Despite ErLang's low adoption rate, it is highly valuable, particularly in industries like telecom and banking, due to its strength in handling concurrent processes and mission-critical applications. ErLang developers are rare, making their skills highly sought-after and well-compensated. The podcast encourages developers to consider learning ErLang alongside more popular languages to enhance their career prospects.