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Apple is set to make a big push in artificial intelligence (AI) with its platform updates this year. The company has already deployed machine learning technology in various areas, but the focus now is on generative AI. One potential area for generative AI is Siri, Apple's virtual assistant, which has not advanced much in recent years. Apple's dedication to on-device processing may allow it to leverage users' data stores, but there may be a need for cloud-based technologies for more power. Apple's AI ambitions have the potential to benefit various areas of its platforms, such as email summarization, image editing, and code generation. The company has the opportunity to come up with innovative ideas that can have a significant impact on device interaction. [Extracted from the article]

OpenAI has announced the release of GPT-4o, a new language model that can interact with users through text, voice, and visual prompts. The model can recognize and respond to screenshots, photos, documents, and charts, as well as facial expressions and handwritten information. It has improved response times, matching human conversation speeds, and offers better performance in vision and audio understanding. While some analysts believe OpenAI is catching up to competitors, GPT-4o demonstrates impressive conversational capabilities and multilingual proficiency. The model will be rolled out iteratively, with extended access for developers and new features for paying users. [Extracted from the article]

Apple has introduced new tools for mobile device management (MDM) vendors that allow IT departments to restrict the use of Apple Intelligence on managed devices. These tools consist of a set of restrictions that can be deployed against managed devices to prevent the use of specific Apple Intelligence features. The decision to enable MDM services to restrict Apple Intelligence will be welcomed by enterprise users concerned about potential data leaks. Apple's commitment to privacy and security is evident in its extensive white paper on the Private Cloud Compute service. Additionally, Apple is working to build AI models that run on devices rather than in the cloud, which protects privacy and reduces energy consumption. Apple has also introduced MDM code to prevent the installation of apps downloaded from websites on managed devices, ensuring data security. Overall, Apple's ecosystem is secure and ready for business. [Extracted from the article]

The article discusses the limitations and declining quality of generative AI (genAI) tools such as ChatGPT. While these tools may appear useful on the surface, they often provide incorrect or unreliable information, particularly when delving into complex subjects. The decline in quality is attributed to the poor quality of content used to train the AI models, which includes unreliable sources like Twitter and Reddit. Additionally, the reliance on genAI-produced content is replacing expert human content, leading to a degradation of accuracy over time. Despite the potential benefits of genAI in specific applications, the article argues against using it to replace knowledge workers. [Extracted from the article]

According to a survey conducted by IDC, one-fifth of organizations plan to use a chatbot assistant other than Microsoft's Copilot within the next two years. Chatbots, which are AI-powered assistants, have become increasingly popular for automating tasks and improving productivity. These chatbots can integrate with enterprise systems like ERP and CRM to automate data-intensive tasks. While Microsoft's Copilot currently dominates the market, other vendors such as Slack, Salesforce, Oracle, SAP, and Cisco are also developing their own chatbot assistants. The survey also revealed that Amazon's CodeWhisperer and Google's Generative AI for Workspaces are popular choices among users. However, Microsoft's Copilot products, including GitHub's variant, are still widely used, particularly for software code production. [Extracted from the article]

Apple is reportedly working on a deal with OpenAI's ChatGPT to bring generative AI to iPhones and Siri. The deal may also extend to other generative AI services, such as Google Gemini. Apple's challenge will be to maintain user privacy and security while supporting third-party chatbots. The company hopes to improve Siri's contextual understanding and is exploring various strands of AI development, including on-device genAI, cloud-powered AI, and chatbot services. Apple sees the use of genAI as a way to protect its iPhone kingdom and potentially supplant iOS as the primary operating system. The company is also developing its own AI solutions and new silicon for data centers. The frequency of reports on Apple's AI plans suggests that new components will be introduced at the WWDC event. [Extracted from the article]

Can AI be ethically used inside schools, or is it just another way to cheat? We asked educators as high schools at universities how AI tools like ChatGPT and Copilot can and should be used in the classroom. [ABSTRACT FROM AUTHOR]

OpenAI has introduced a new family of large language models (LLMs) called OpenAI o1, which includes an o1-mini version for cost efficiency. These models have enhanced reasoning abilities and can solve complex tasks in science, coding, and math. OpenAI claims that the o1 models perform similarly to PhD students on challenging benchmark tasks in physics, chemistry, and biology. The models' reasoning capabilities are expected to be useful in various fields, such as healthcare research, physics, and software development. The o1 models acquire their reasoning capabilities through a large-scale reinforcement learning algorithm called the "Chain of Thought." However, OpenAI has decided not to expose the reasoning tokens or the Chain of Thought algorithm to users, as it believes interfering with these tokens would hinder the models' functioning. Some limitations of the o1 models include increased prompt budgets due to reasoning tokens and the need to include only the most relevant information when using retrieval-augmented generation (RAG). The o1 models are available for ChatGPT Plus and Team users, and access will be expanded to other users in the future. [Extracted from the article]

Meta's Llama family of large language models (LLMs) has experienced a significant increase in downloads, with a ten-fold growth year-on-year. The models have been downloaded nearly 350 million times to date, with over 20 million downloads in the past month alone. While Meta does not allow free commercial use of its models, the popularity of the Llama models can be attributed to factors such as new releases and efforts to increase partnerships and distribution. Meta has also seen success in attracting partners, including major companies like AWS, Google Cloud, and IBM, who are actively using Llama models for generative AI purposes. [Extracted from the article]

Apple is considering investing in OpenAI, the maker of ChatGPT, as it prepares to introduce Apple Intelligence. This potential investment would strengthen Apple's existing partnership with OpenAI, which was announced at WWDC. Microsoft has already invested $13 billion in OpenAI and uses ChatGPT in its Copilot software. Apple Intelligence will be available on iPhones, iPads, and Macs, and analysts predict a significant demand for AI-driven iPhone upgrades. However, Apple Intelligence is currently limited to the US, and its availability in other countries remains uncertain due to regulatory concerns. [Extracted from the article]

Apple has announced that its next big event, "Glowtime," will take place on September 9th. The event is expected to introduce the new iPhone 16 range, new Apple Watch models, and AirPods 4, with a focus on artificial intelligence (AI). The new Siri behavior, which glows around the edges of the device, is believed to be a reference to the event. Apple aims to build the world's biggest active AI ecosystem across its platforms, but faces competition from other companies. The new iPhone 16 range is expected to include various models with improved cameras, displays, and memory to support Apple Intelligence. The Apple Watch Ultra 3 and Series 10 will also see improvements, while the AirPods 4 are expected to gain noise cancellation. There may also be updates to the iPad lineup. The event will be live-streamed and is set to begin at 10 a.m. PT/1 p.m. ET. [Extracted from the article]

Google has introduced its own AI smartphone, the Pixel 9, which supports Gemini AI. However, Google's focus on convenience rather than privacy has led to criticisms from Apple, which has developed an AI system with privacy at its core. Apple's AI system handles tasks on-device and gathers as little information as possible, prioritizing privacy. In contrast, Google collects a significant amount of user information through Gemini. While Google promises to protect privacy, there are concerns about the potential access to user data by human reviewers. The article suggests that for those concerned about privacy, Apple's iPhone and its AI system may be a better choice. [Extracted from the article]

OpenAI has developed a tool to watermark text generated by its AI assistant, ChatGPT, but has chosen not to use it due to internal disagreements. The company conducted a survey which revealed that four times as many people prefer tools that can identify AI content rather than watermarking. Additionally, 30% of ChatGPT users stated that they would use the service less if it contained watermarked content. The quality of the content generated by ChatGPT is not expected to be affected by the implementation of watermarking. [Extracted from the article]

OpenAI has introduced a preview version of Advanced Voice Mode for paying customers of their generative AI tool, ChatGPT. This new feature allows users to choose from four different voices, including a "hyper-realistic voice" that closely resembles a human. OpenAI had previously faced criticism for using the voice of Scarlett Johansson without permission, leading to its removal. The company plans to make Advanced Voice Mode available to all Plus users in the coming months. [Extracted from the article]

OpenAI has made its ChatGPT app available to all Mac users, following a period of testing with paying subscribers. This move comes after Apple announced that ChatGPT will be integrated into Siri and other apps across its platforms. The integration of ChatGPT on Mac allows users to easily access the chatbot's tools from anywhere on their device. Apple has promised further integration between its platforms and ChatGPT, including in writing tools. The app is available for Apple Silicon Macs running macOS 14 or later. [Extracted from the article]

OpenAI has announced a delay in the release of the Voice Mode feature for its ChatGPT platform due to safety and scalability concerns. The company needs an additional month to refine the technology before offering it to a limited group of users in an alpha test. OpenAI aims to ensure that the feature can effectively detect and refuse certain content to prevent potential misuse. This delay creates an interesting scenario in the field of AI voice capabilities, as competitors like Anthropic and Google's DeepMind have already showcased voice-enabled interaction. OpenAI's cautious approach reflects its commitment to responsible AI development and its desire to gather feedback and mitigate potential issues before a wider release. [Extracted from the article]

The nonprofit R&D center for top US government agencies built its own version of the popular genAI tool to deliver robust productivity enhancements securely by design. [ABSTRACT FROM AUTHOR]

OpenAI quickly resolved an issue that caused an outage for some users of its AI chatbot, ChatGPT. Users took to social media to report the problem, but the company fixed it within a few hours. While occasional outages are expected with cloud-based services like ChatGPT, OpenAI's response to this incident will be closely watched as it could impact the company's future success and the safety of AI technology. It is important for OpenAI to respond quickly and take proactive measures to minimize future outages. [Extracted from the article]

Apple has been criticized for being slow to develop its generative AI (genAI) strategy, particularly in relation to its virtual assistant Siri. However, recent leaks suggest that Apple is planning to revamp Siri and license OpenAI's ChatGPT to improve its capabilities. Apple is also expected to announce AI-related developments at its Worldwide Developers Conference (WWDC) in June, including licensing complementary AI models and developing its own large language models (LLMs) for chatbots. Additionally, Apple researchers have developed a new AI system called ReALM, which improves natural interactions with voice assistants. While Apple may have fallen behind in the AI race, it is taking steps to catch up and improve Siri. [Extracted from the article]

The article discusses the potential drawbacks of generative AI (genAI) tools such as Google AI Overviews and OpenAI GPT-4o. The author highlights that these tools, while capable of producing convincing results, are still prone to errors and hallucinations. The accuracy of genAI tools depends on the quality of their sources, which can vary widely. The author also raises concerns about the impact of AI-powered summaries on publishers, as it may discourage users from accessing the full content and negatively affect the industry. Additionally, the article mentions the potential decline in the quality of AI models as reliable human-created stories become scarce. The author concludes by emphasizing the need to address these issues to prevent a future filled with unreliable AI-generated content. [Extracted from the article]

2023 was the year of Generative AI (GenAI). Businesses rapidly moved to adopt GenAI tools and LLMs, such as ChatGPT, Microsoft CoPilot, and Google Gemini. The consequence of this GenAI movement is that AI is now a top issue for CEOs, leading them to ask CTOs and CIOs how they are implementing AI. For the CIO, this means they need to develop an AI strategy detailing how internal teams use AI, and how to keep the organization secure, even as these teams experiment with new tools. [ABSTRACT FROM AUTHOR]

A recent study conducted by career development and outplacement firm Intoo, in partnership with research firm Workplace Intelligence, found that many Gen Z employees trust AI chatbots like ChatGPT for career advice over their managers. Around 47% of Gen Z workers surveyed said they received better advice from a chatbot than from their manager. The survey also revealed that toxic work environments and a lack of career advancement are contributing to employee dissatisfaction. Additionally, the study highlighted that many workers are actively seeking employment elsewhere due to poor treatment and a lack of support for career development. [Extracted from the article]

Google has expanded access to its generative AI (genAI) features within its Workspace office app suite, offering a lower-priced payment tier aimed at small and mid-sized businesses. The new pricing tier, called Gemini Business, costs $20 per user per month and provides most of the same capabilities as the higher-priced Gemini Enterprise tier. Both tiers also include access to Google's new standalone chatbot AI assistant, Gemini. This move puts Google's genAI offerings more in line with competitors like Microsoft and OpenAI. However, convincing small and mid-sized businesses to invest in genAI tools may be challenging due to the added cost and potential difficulty of use. [Extracted from the article]

Google has announced that it is replacing Duet AI with Gemini AI for Google Workspace, offering generative AI integration with popular applications like Docs and Gmail. The company has introduced two plans, Gemini Business and Gemini Enterprise, to help businesses leverage AI for growth. Gemini Enterprise offers additional capabilities for AI-powered meetings, including translation and meeting note-taking. Google hopes that these new offerings will help it gain a lead in the generative AI tools market, which is projected to grow significantly in the coming years. Additionally, Google has introduced a new large language model called Gemma, which is designed to handle text and comes with tools to support developer innovation and responsible use. [Extracted from the article]

OpenAI has introduced a new memory feature in ChatGPT, their chatbot, which allows it to remember information about users and past conversations. This feature aims to personalize conversations and make the chatbot more user-friendly and intelligent. It is expected to increase productivity and enhance customer experience for organizations. Users have control over what the chatbot remembers, and they can also choose to use a "temporary chat" feature without memory. While the memory feature raises data privacy and security concerns, some believe that these concerns are more relevant to consumers rather than enterprises. [Extracted from the article]

The article discusses the author's experience with Google's new Gemini Android assistant and expresses skepticism about its effectiveness as a replacement for Google Assistant. The author argues that Gemini, as a generative AI chatbot, lacks a clear purpose and does not fulfill the basic tasks and functions that users expect from a phone assistant. The article highlights the slower and less reliable performance of Gemini compared to Google Assistant, as well as its inability to handle certain tasks. The author suggests that Google should focus on improving Google Assistant rather than replacing it with Gemini. [Extracted from the article]

Large language models (LLMs) are the foundation of chatbots like OpenAI's ChatGPT and Google's Bard. LLMs are trained on massive amounts of data, including articles, books, and internet resources, to generate human-like responses to natural language queries. They work by predicting the next word based on what they have already seen. LLMs can be biased if the data they ingest is biased, and prompt engineering is a process that allows users to train LLMs for specific purposes. Smaller LLMs are being developed to reduce costs and improve efficiency. However, there are concerns about privacy, security, and ethical use of data collected by LLMs. Efforts are being made by governments and organizations to regulate and govern AI tools. [Extracted from the article]

Italian watchdog Garante has accused OpenAI's generative AI platform, ChatGPT, of breaching data privacy norms set by the EU. This is not the first time that Garante has brought charges against ChatGPT, as last year the watchdog temporarily banned the platform for flouting data privacy norms. OpenAI has been given 30 days to respond to the charges. These accusations come at a time when OpenAI is already facing multiple lawsuits regarding the training of its models without explicit permission from content creators. [Extracted from the article]