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Technology
Artifcial Intelligence coding OpenAI Software Technology

How OpenAI’s New AI Agents Are Shaping the Future of Coding

 


OpenAI is taking the challenge of bringing into existence the very first powerful AI agents designed specifically to revolutionise the future of software development. It became so advanced that it could interpret in plain language instructions and generate complex code, hoping to make it achievable to complete tasks that would take hours in only minutes. This is the biggest leap forward AI has had up to date, promising a future in which developers can have a more creative and less repetitive target while coding.

Transforming Software Development

These AI agents represent a major change in the type of programming that's created and implemented. Beyond typical coding assistants, which may use suggestions to complete lines, OpenAI's agents produce fully formed, functional code from scratch based on relatively simple user prompts. It is theoretically possible that developers could do their work more efficiently, automating repetitive coding and focusing more on innovation and problem solving on more complicated issues. The agents are, in effect, advanced assistants capable of doing more helpful things than the typical human assistant with anything from far more complex programming requirements.


Competition from OpenAI with Anthropic

As OpenAI makes its moves, it faces stiff competition from Anthropic-an AI company whose growth rate is rapidly taking over. Having developed the first released AI models focused on advancing coding, Anthropic continues to push OpenAI to even further refinement in their agents. This rivalry is more than a race between firms; it is infusing quick growth that works for the whole industry because both companies are setting new standards by working on AI-powered coding tools. As both compete, developers and users alike stand to benefit from the high-quality, innovative tools that will be implied from the given race.


Privacy and Security Issues

The AI agents also raise privacy issues. Concerns over the issue of data privacy and personal privacy arise if these agents can gain access to user devices. Secure integration of the agents will require utmost care because developers rely on the unassailability of their systems. Balancing AI's powerful benefits with needed security measures will be a key determinant of their success in adoption. Also, planning will be required for the integration of these agents into the current workflows without causing undue disruptions to the established standards and best practices in security coding.


Changing Market and Skills Environment

OpenAI and Anthropic are among the leaders in many of the changes that will remake both markets and skills in software engineering. As AI becomes more central to coding, this will change the industry and create new sorts of jobs as it requires the developer to adapt toward new tools and technologies. The extensive reliance on AI in code creation would also invite fresh investments in the tech sector and accelerate broadening the AI market.


The Future of AI in Coding

Rapidly evolving AI agents by OpenAI mark the opening of a new chapter for the intersection of AI and software development, promising to accelerate coding, making it faster, more efficient, and accessible to a wider audience of developers who will enjoy assisted coding towards self-writing complex instructions. The further development by OpenAI will most definitely continue to shape the future of this field, representing exciting opportunities and serious challenges capable of changing the face of software engineering in the foreseeable future.




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Technology
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Want to Make the Most of ChatGPT? Here Are Some Go-To Tips

 







Within a year and a half, ChatGPT has grown from an AI prototype to a broad productivity assistant, even sporting its text and code editor called Canvas. Soon, OpenAI will add direct web search capability to ChatGPT, putting the platform at the same table as Google's iconic search. With these fast updates, ChatGPT is now sporting quite a few features that may not be noticed at first glance but are deepening the user experience if one knows where to look.

This is the article that will teach you how to tap into ChatGPT, features from customization settings to unique prompting techniques, and not only five must-know tips will be useful in unlocking the full range of abilities of ChatGPT to any kind of task, small or big.


1. Rename Chats for Better Organisation

A new conversation with ChatGPT begins as a new thread, meaning that it will remember all details concerning that specific exchange but "forget" all the previous ones. This way, you can track the activities of current projects or specific topics because you can name your chats. The chat name that it might try to suggest is related to the flow of the conversation, and these are mostly overlooked contexts that users need to recall again. Renaming your conversations is one simple yet powerful means of staying organised if you rely on ChatGPT for various tasks.

To give a name to a conversation, tap the three dots next to the name in the sidebar. You can also archive older chats to remove them from the list without deleting them entirely, so you don't lose access to the conversations that are active.


2. Customise ChatGPT through Custom Instructions

Custom Instructions in ChatGPT is a chance to make your answers more specific to your needs because you will get to share your information and preferences with the AI. This is a two-stage personalization where you are explaining to ChatGPT what you want to know about yourself and, in addition, how you would like it to be returned. For instance, if you ask ChatGPT for coding advice several times a week, you can let the AI know what programming languages you are known in or would like to be instructed in so it can fine-tune the responses better. Or, you should be able to ask for ChatGPT to provide more verbose descriptions or to skip steps in order to make more intuitive knowledge of a topic.

To set up personal preferences, tap the profile icon on the upper right, and then from the menu, "Customise ChatGPT," and then fill out your preferences. Doing this will enable you to get responses tailored to your interests and requirements.


3. Choose the Right Model for Your Use

If you are a subscriber to ChatGPT Plus, you have access to one of several AI models each tailored to different tasks. The default model for most purposes is GPT-4-turbo (GPT-4o), which tends to strike the best balance between speed and functionality and even supports other additional features, including file uploads, web browsing, and dataset analysis.

However, other models are useful when one needs to describe a rather complex project with substantial planning. You may initiate a project using o1-preview that requires deep research and then shift the discussion to GPT-4-turbo to get quick responses. To switch models, you can click on the model dropdown at the top of your screen or type in a forward slash (/) in the chat box to get access to more available options including web browsing and image creation.


4. Look at what the GPT Store has available in the form of Mini-Apps

Custom GPTs, and the GPT Store enable "mini-applications" that are able to extend the functionality of the platform. The Custom GPTs all have some inbuilt prompts and workflows and sometimes even APIs to extend the AI capability of GPT. For instance, with Canva's GPT, you are able to create logos, social media posts, or presentations straight within the ChatGPT portal by linking up the Canva tool. That means you can co-create visual content with ChatGPT without having to leave the portal.

And if there are some prompts you often need to apply, or some dataset you upload most frequently, you can easily create your Custom GPT. This would be really helpful to handle recipes, keeping track of personal projects, create workflow shortcuts and much more. Go to the GPT Store by the "Explore GPTs" button in the sidebar. Your recent and custom GPTs will appear in the top tab, so find them easily and use them as necessary.


5. Manage Conversations with a Fresh Approach

For the best benefit of using ChatGPT, it is key to understand that every new conversation is an independent document with its "memory." It does recall enough from previous conversations, though generally speaking, its answers depend on what is being discussed in the immediate chat. This made chats on unrelated projects or topics best started anew for clarity.

For long-term projects, it might even be logical to go on with a single thread so that all relevant information is kept together. For unrelated topics, it might make more sense to start fresh each time to avoid confusion. Another way in which archiving or deleting conversations you no longer need can help free up your interface and make access to active threads easier is


What Makes AI Unique Compared to Other Software?

AI performs very differently from other software in that it responds dynamically, at times providing responses or "backtalk" and does not simply do what it is told to do. Such a property leads to some trial and error to obtain the desired output. For instance, one might prompt ChatGPT to review its own output as demonstrated by replacing single quote characters by double quote characters to generate more accurate results. This is similar to how a developer optimises an AI model, guiding ChatGPT to "think" through something in several steps.

ChatGPT Canvas and other features like Custom GPTs make the AI behave more like software in the classical sense—although, of course, with personality and learning. If ChatGPT continues to grow in this manner, features such as these may make most use cases easier and more delightful.

Following these five tips should help you make the most of ChatGPT as a productivity tool and keep pace with the latest developments. From renaming chats to playing around with Custom GPTs, all of them add to a richer and more customizable user experience.


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Artifcial Intelligence Data collection Europe GDPR Google Privacy Tech giants

Is Google Spying on You? EU Investigates AI Data Privacy Concerns



Google is currently being investigated in Europe over privacy concerns raised about how the search giant has used personal data to train its generative AI tools. The subject of investigation is led by Ireland's Data Protection Commission, which ensures that the giant technical company adheres to strict data protection laws within the European Union. This paper will establish whether Google adhered to its legal process, such as obtaining a Data Protection Impact Assessment (DPIA), before using people's private information to develop its intelligent machine models.

Data Collection for AI Training Causes Concerns

Generative AI technologies similar to Google's brand Gemini have emerged into the headlines because these tend to create fake information and leak personal information. This raises the question of whether Google's AI training methods, necessarily involving tremendous amounts of data through which such training must pass, are GDPR-compliant-its measures to protect privacy and rights regarding individuals when such data is used for developing AI.

This issue at the heart of the probe is if Google should have carried out a DPIA, which is an acronym for Data Protection Impact Assessment-the view of any risks data processing activities may have on the rights to privacy of individuals. The reason for conducting a DPIA is to ensure that the rights of the individuals are protected simply because companies like Google process humongous personal data so as to create such AI models. The investigation, however, is specifically focused on how Google has been using its model called PaLM2 for running different forms of AI, such as chatbots and enhancements in the search mechanism.

Fines Over Privacy Breaches

But if the DPC finds that Google did not comply with the GDPR, then this could pose a very serious threat to the company because the fine may amount to more than 4% of the annual revenue generated globally. Such a company as Google can raise billions of dollars in revenue every year; hence such can result in a tremendous amount.

Other tech companies, including OpenAI and Meta, also received similar privacy-based questions relating to their data practices when developing AI.

Other general issues revolve around the processing of personal data in this fast-emerging sphere of artificial intelligence.

Google Response to Investigation

The firm has so far refused to answer questions over specific sources of data used to train its generative AI tools. A company spokesperson said Google remains dedicated to compliance with the GDPR and will continue cooperating with the DPC throughout the course of the investigation. The company maintains it has done nothing illegal. And just because a company is under investigation, that doesn't mean there's something wrong with it; the very act of inquiring itself forms part of a broader effort to ensure that companies using technology take account of how personal information is being used.

Data Protection in the AI Era

DPC questioning of Google is part of a broader effort by the EU regulators to ensure generative AI technologies adhere to the bloc's high data-privacy standards. As concerns over how personal information is used, more companies are injecting AI into their operations. The GDPR has been among the most important tools for ensuring citizens' protection against misuse of data, especially during cases involving sensitive or personal data.

In the last few years, other tech companies have been prosecuted with regard to their data-related activities in AI development. Recently, the developers of ChatGPT, OpenAI, and Elon Musk's X (formerly Twitter), faced investigations and complaints under the law of GDPR. This indicates the growing pressure technological advancement and the seriousness in the protection of privacy are under.

The Future of AI and Data Privacy

In developing AI technologies, firms developing relevant technology need to strike a balance between innovation and privacy. The more innovation has brought numerous benefits into the world-search capabilities and more efficient processes-the more it has opened risks to light by leaving personal data not so carefully dealt with in most cases.

Moving forward, the regulators, including the DPC, would be tracking the manner in which the companies like Google are dealing with the data. It is sure to make rules much more well-defined on what is permissible usage of personal information for developing the AI that would better protect individuals' rights and freedoms in this digital age.

Ultimately, the consequences of this study may eventually shape how AI technologies are designed and implemented in the European Union; it will certainly inform tech businesses around the world.


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Technology
AI law AI treaty Artifcial Intelligence Council of Europe Technology

Council of Europe Lunches First AI Treaty


The Council of Europe has launched the first legally binding international treaty on artificial intelligence (AI) to align AI usage with the principles of human rights, democracy, and the rule of law. Known as the Framework Convention on Artificial Intelligence, Human Rights, Democracy, and the Rule of Law (CETS No. 225), the treaty was opened for signature during a conference of Council of Europe Ministers of Justice held in Vilnius, Lithuania.  

Countries including the UK, Israel, the US, the European Union (EU), and Council of Europe member states such as Norway, Iceland, and Georgia have signed the treaty, underscoring its broad appeal. 

In her remarks, Council of Europe Secretary General Marija Pejčinović Burić emphasized the importance of ensuring AI adheres to existing legal and ethical standards. "We must ensure that the rise of AI upholds our standards, rather than undermining them," she said. Burić expressed hope that more countries will follow suit, ratifying the treaty so it can enter into force swiftly. 

The treaty offers a comprehensive legal framework for regulating AI throughout its lifecycle, from development to deployment. It encourages technological innovation while simultaneously addressing concerns surrounding public safety, privacy, and data protection. 

The signatories are also obligated to guard against potential misuse of AI technologies, particularly in areas such as misinformation and biased decision-making. Key safeguards outlined in the treaty include the protection of human rights, particularly concerning data privacy and non-discrimination; the safeguarding of democratic processes by preventing AI from eroding public trust in institutions; and the regulation of AI risks to uphold the rule of law. 

The Framework Convention was adopted by the Council of Europe Committee of Ministers on May 17, 2024, and will take effect three months after at least five signatories, including three Council of Europe member states, ratify it. The UK’s Lord Chancellor and Justice Secretary Shabana Mahmood signed the treaty, calling it a critical step in ensuring AI is harnessed responsibly without compromising core democratic values.
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Technology
Artifcial Intelligence ChatGPT OpenAI Security Breach Technology

Breaking the Silence: The OpenAI Security Breach Unveiled

Breaking the Silence: The OpenAI Security Breach Unveiled

In April 2023, OpenAI, a leading artificial intelligence research organization, faced a significant security breach. A hacker gained unauthorized access to the company’s internal messaging system, raising concerns about data security, transparency, and the protection of intellectual property. 

In this blog, we delve into the incident, its implications, and the steps taken by OpenAI to prevent such breaches in the future.

The OpenAI Breach

The breach targeted an online forum where OpenAI employees discussed upcoming technologies, including features for the popular chatbot. While the actual GPT code and user data remained secure, the hacker obtained sensitive information related to AI designs and research. 

While Open AI shared the information with its staff and board members last year, it did not tell the public or the FBI about the breach, stating that doing so was unnecessary because no user data was stolen. 

OpenAI does not regard the attack as a national security issue and believes the attacker was a single individual with no links to foreign powers. OpenAI’s decision not to disclose the breach publicly sparked debate within the tech community.

Breach Impact

Leopold Aschenbrenner, a former OpenAI employee, had expressed worries about the company's security infrastructure and warned that its systems could be accessible to hostile intelligence services such as China. The company abruptly fired Aschenbrenner, although OpenAI spokesperson Liz Bourgeois told the New York Times that his dismissal had nothing to do with the document.

Similar Attacks and Open AI’s Response

This is not the first time OpenAI has had a security lapse. Since its launch in November 2022, ChatGPT has been continuously attacked by malicious actors, frequently resulting in data leaks. A separate attack exposed user names and passwords in February of this year. 

In March of last year, OpenAI had to take ChatGPT completely down to fix a fault that exposed customers' payment information to other active users, including their first and last names, email IDs, payment addresses, credit card info, and the last four digits of their card number. 

Last December, security experts found that they could convince ChatGPT to release pieces of its training data by prompting the system to endlessly repeat the word "poem."

OpenAI has taken steps to enhance security since then, including additional safety measures and a Safety and Security Committee.

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Privacy
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Tech Giants Face Backlash Over AI Privacy Concerns






Microsoft recently faced material backlash over its new AI tool, Recall, leading to a delayed release. Recall, introduced last month as a feature of Microsoft's new AI companion, captures screen images every few seconds to create a searchable library. This includes sensitive information like passwords and private conversations. The tool's release was postponed indefinitely after criticism from data privacy experts, including the UK's Information Commissioner's Office (ICO).

In response, Microsoft announced changes to Recall. Initially planned for a broad release on June 18, 2024, it will first be available to Windows Insider Program users. The company assured that Recall would be turned off by default and emphasised its commitment to privacy and security. Despite these assurances, Microsoft declined to comment on claims that the tool posed a security risk.

Recall was showcased during Microsoft's developer conference, with Yusuf Mehdi, Corporate Vice President, highlighting its ability to access virtually anything on a user's PC. Following its debut, the ICO vowed to investigate privacy concerns. On June 13, Microsoft announced updates to Recall, reinforcing its "commitment to responsible AI" and privacy principles.

Adobe Overhauls Terms of Service 

Adobe faced a wave of criticism after updating its terms of service, which many users interpreted as allowing the company to use their work for AI training without proper consent. Users were required to agree to a clause granting Adobe a broad licence over their content, leading to suspicions that Adobe was using this content to train generative AI models like Firefly.

Adobe officials, including President David Wadhwani and Chief Trust Officer Dana Rao, denied these claims and clarified that the terms were misinterpreted. They reassured users that their content would not be used for AI training without explicit permission, except for submissions to the Adobe Stock marketplace. The company acknowledged the need for clearer communication and has since updated its terms to explicitly state these protections.

The controversy began with Firefly's release in March 2023, when artists noticed AI-generated imagery mimicking their styles. Users like YouTuber Sasha Yanshin cancelled their Adobe subscriptions in protest. Adobe's Chief Product Officer, Scott Belsky, admitted the wording was unclear and emphasised the importance of trust and transparency.

Meta Faces Scrutiny Over AI Training Practices

Meta, the parent company of Facebook and Instagram, has also been criticised for using user data to train its AI tools. Concerns were raised when Martin Keary, Vice President of Product Design at Muse Group, revealed that Meta planned to use public content from social media for AI training.

Meta responded by assuring users that it only used public content and did not access private messages or information from users under 18. An opt-out form was introduced for EU users, but U.S. users have limited options due to the lack of national privacy laws. Meta emphasised that its latest AI model, Llama 2, was not trained on user data, but users remain concerned about their privacy.

Suspicion arose in May 2023, with users questioning Meta's security policy changes. Meta's official statement to European users clarified its practices, but the opt-out form, available under Privacy Policy settings, remains a complex process. The company can only address user requests if they demonstrate that the AI "has knowledge" of them.

The recent actions by Microsoft, Adobe, and Meta highlight the growing tensions between tech giants and their users over data privacy and AI development. As these companies navigate user concerns and regulatory scrutiny, the debate over how AI tools should handle personal data continues to intensify. The tech industry's future will heavily depend on balancing innovation with ethical considerations and user trust.


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VR
Artifcial Intelligence Death Digital Afterlife GDPR Privacy VR

Digital Afterlife: Are We Ready for Virtual Resurrections?


 

Imagine receiving a message that your deceased father's "digital immortal" bot is ready to chat. This scenario, once confined to science fiction, is becoming a reality as the digital afterlife industry evolves. Virtual reconstructions of loved ones, created using their digital footprints, offer a blend of comfort and disruption, blurring the lines between memory and reality.

The Digital Afterlife Industry

The digital afterlife industry leverages VR and AI technologies to create virtual personas of deceased individuals. Companies like HereAfter allow users to record stories and messages during their lifetime, accessible to loved ones posthumously. MyWishes offers pre-scheduled messages from the deceased, maintaining their presence in the lives of the living. Hanson Robotics has developed robotic busts that interact using the memories and personality traits of the deceased, while Project December enables text-based conversations with those who have passed away.

Generative AI plays a crucial role in creating realistic and interactive digital personas. However, the high level of realism can blur the line between reality and simulation, potentially causing emotional and psychological distress.

Ethical and Emotional Challenges

As comforting as these technologies can be, they also present significant ethical and emotional challenges. The creation of digital immortals raises concerns about consent, privacy, and the psychological impact on the living. For some, interacting with a digital version of a loved one can aid the grieving process by providing a sense of continuity and connection. However, for others, it may exacerbate grief and cause psychological harm.

One of the major ethical concerns is consent. The deceased may not have agreed to their data being used for a digital afterlife. There’s also the risk of misuse and data manipulation, with companies potentially exploiting digital immortals for commercial gain or altering their personas to convey messages the deceased would never have endorsed.

Need for Regulation

To address these concerns, there is a pressing need to update legal frameworks. Issues such as digital estate planning, the inheritance of digital personas, and digital memory ownership need to be addressed. The European Union's General Data Protection Regulation (GDPR) recognizes post-mortem privacy rights but faces challenges in enforcement due to social media platforms' control over deceased users' data.

Researchers have recommended several ethical guidelines and regulations, including obtaining informed and documented consent before creating digital personas, implementing age restrictions to protect vulnerable groups, providing clear disclaimers to ensure transparency, and enforcing strong data privacy and security measures. A 2018 study suggested treating digital remains as integral to personhood, proposing regulations to ensure dignity in re-creation services.

The dialogue between policymakers, industry, and academics is crucial for developing ethical and regulatory solutions. Providers should offer ways for users to respectfully terminate their interactions with digital personas. Through careful, responsible development, digital afterlife technologies can meaningfully and respectfully honour our loved ones.

As we navigate this new frontier, it is essential to balance the benefits of staying connected with our loved ones against the potential risks and ethical dilemmas. By doing so, we can ensure that the digital afterlife industry develops in a way that respects the memory of the deceased and supports the emotional well-being of the living.


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Technology
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IT and Consulting Firms Leverage Generative AI for Employee Development


Generative AI (GenAI) has emerged as a driving focus area in the learning and development (L&D) strategies of IT and consulting firms. Companies are increasingly investing in comprehensive training programs to equip their employees with essential GenAI skills, spanning from basic concepts to advanced technical know-how.

Training courses in GenAI cover a wide range of topics. Introductory courses, which can be completed in just a few hours, address the fundamentals, ethics, and social implications of GenAI. For those seeking deeper knowledge, advanced modules are available that focus on development using GenAI and large language models (LLMs), requiring over 100 hours to complete.

These courses are designed to cater to various job roles and functions within the organisations. For example, KPMG India aims to have its entire workforce trained in GenAI by the end of the fiscal year, with 50% already trained. Their programs are tailored to different levels of employees, from teaching leaders about return on investment and business envisioning to training coders in prompt engineering and LLM operations.

EY India has implemented a structured approach, offering distinct sets of courses for non-technologists, software professionals, project managers, and executives. Presently, 80% of their employees are trained in GenAI. Similarly, PwC India focuses on providing industry-specific masterclasses for leaders to enhance their client interactions, alongside offering brief nano courses for those interested in the basics of GenAI.

Wipro organises its courses into three levels based on employee seniority, with plans to develop industry-specific courses for domain experts. Cognizant has created shorter courses for leaders, sales, and HR teams to ensure a broad understanding of GenAI. Infosys also has a program for its senior leaders, with 400 of them currently enrolled.

Ray Wang, principal analyst and founder at Constellation Research, highlighted the extensive range of programs developed by tech firms, including training on Python and chatbot interactions. Cognizant has partnerships with Udemy, Microsoft, Google Cloud, and AWS, while TCS collaborates with NVIDIA, IBM, and GitHub.

Cognizant boasts 160,000 GenAI-trained employees, and TCS offers a free GenAI course on Oracle Cloud Infrastructure until the end of July to encourage participation. According to TCS's annual report, over half of its workforce, amounting to 300,000 employees, have been trained in generative AI, with a goal of training all staff by 2025.

The investment in GenAI training by IT and consulting firms pivots towards the importance of staying ahead in the rapidly evolving technological landscape. By equipping their employees with essential AI skills, these companies aim to enhance their capabilities, drive innovation, and maintain a competitive edge in the market. As the demand for AI expertise grows, these training programs will play a crucial role in shaping the future of the industry.


 

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