Tag: OpenAI

  • OpenAI Launches Accessible “Ghibli” Image Generator for All Users

    OpenAI Launches Accessible “Ghibli” Image Generator for All Users

    Key Takeaways

    1. OpenAI’s new image generator resembles Studio Ghibli art and is now available to all users, but free users are limited to three creations daily.

    2. The “Ghibli” trend has emerged on social media, with users creating and sharing “Ghibli-fied” versions of portraits, causing a spike in image generation requests.

    3. There is ongoing debate about copyright issues related to AI-generated images, with concerns about the legality of using copyrighted material for training models.

    4. Privacy experts have raised concerns that OpenAI may collect high-quality image data through this trend, but this remains speculative.

    5. Some users have faced errors related to copyright issues when generating images, while others continue to share their creations without problems.


    OpenAI has released its new image generator, which has already made headlines for resembling the art from Studio Ghibli. Now, this feature is accessible to all users on the platform.

    Although the company has not made an official statement, a previous post on X by CEO Sam Altman hinted that free users will be limited to three image creations each day.

    The Ghibli Trend

    Since its launch in March, the image generator has sparked the current “Ghibli” phenomenon on social media, where users are posting “Ghibli-fied” versions of their portraits or others’ because, well, why not?

    This trend has gained so much popularity that Altman commented on their “GPUs are melting” due to the overwhelming number of requests for image generations.

    Legal Discussions Around AI

    This surge has led to a fascinating debate online regarding copyright issues and AI responsibilities when it comes to potential infringements.

    In an interview with TechCrunch, intellectual property attorney Evan Brown mentioned that the generator functions in “a legal grey area.” You can’t take legal action for someone copying a style, but you can pursue a case against the use of copyrighted material to train image generation models. This matter is currently hotly contested in courts, as the question of whether training models with copyrighted content falls under fair use is still unresolved.

    Privacy Concerns

    Some privacy experts have speculated that this could be OpenAI’s strategy for collecting high-quality image data. However, it’s still just a theory at this point. If you decide to join the trend, be sure not to share any personal details or images.

    A number of users on Reddit have mentioned encountering error messages indicating that GPT could not produce the images “due to copyright and intellectual property concerns.” However, these reports seem to vary, as many others continue to share their Ghibli-inspired images across social media platforms.

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  • GPT-4o Can Generate Images with Near-Perfect Text

    GPT-4o Can Generate Images with Near-Perfect Text

    Key Takeaways

    1. GPT-4o now features image generation that allows for precise text rendering, improving the quality of visuals created from textual prompts.
    2. The model uses an interactive approach for dynamic image creation, enabling users to modify images step-by-step based on their ideas.
    3. Users can merge elements from different images and produce clear text, marking a significant advancement over previous AI image generation technologies.
    4. GPT-4o can handle 10-20 elements in a scene, surpassing competitors that typically manage only 5-8, making it easier to visualize complex ideas.
    5. Despite its advancements, limitations like bottom cropping, hallucinations, and challenges with non-Latin scripts still exist.


    OpenAI’s GPT-4o, which was introduced nearly a year ago, just received a significant update: it now includes image generation with incredibly precise text rendering. This new capability allows users to create intricate, high-quality visuals from textual prompts and engage in conversation to adjust these images until they align with their ideas—no more nonsensical signs or strange letters that earlier AI models produced.

    Dynamic Image Creation

    Unlike traditional methods of generating images by simply refining a single prompt, GPT-4o employs a more interactive technique. You begin with a straightforward request—like a cat—and then discuss modifications to capture your vision: perhaps adding a detective hat, a monocle, or any other detail you desire.

    Step-by-Step Modifications

    OpenAI provides examples that illustrate this process: users can construct and alter scenes incrementally, merging elements from various images into a single, unified result. The model excels at producing clear text on signs or items, a significant improvement over the distorted outputs of past AI image generation technologies.

    Impressive Capabilities

    Importantly, OpenAI acknowledges some selective showcasing—many images are labeled as “best of 2” or “best of 8″—but the outcomes remain impressive, particularly given the very user-friendly interface. GPT-4o can even start with your own photo and apply changes, managing 10-20 elements in a scene while competitors struggle with just 5-8. Just last week, I tried to recreate a scene from The Count of Monte Cristo, and it was quite challenging. Now, with GPT-4o’s image generation, not only will the images produced feature readable text, but it will also be significantly easier to turn your imagination into reality.

    Some Limitations

    However, it’s not without its flaws. OpenAI points out issues like bottom cropping, persistent hallucinations, difficulties with non-Latin scripts, and problems when exceeding 20 objects. Still, the capacity to create intricate, text-filled images using simple English distinguishes GPT-4o from its predecessors. If you’re working on a poster design, this tool offers the accuracy and flexibility that older models could only wish for.


  • ChatGPT’s Odd Defamation of Norwegian Man’s Inquiry

    ChatGPT’s Odd Defamation of Norwegian Man’s Inquiry

    Key Takeaways

    1. ChatGPT provided a false and damaging response to a query about a man named Arve Hjalmar Holmen, wrongly accusing him of murdering his sons.
    2. Holmen was shocked by the AI’s claims, which included fabricated details about a murder case that supposedly took place in December 2020.
    3. He is pursuing legal action against OpenAI, supported by the privacy rights organization Noyb, due to the unfounded allegations made by the AI.
    4. Noyb highlighted that while the AI includes a disclaimer about accuracy, this does not exempt OpenAI from responsibility under GDPR for generating false statements.
    5. The incident raises concerns about AI accountability and the potential impacts of misinformation generated by such technologies.


    ChatGPT developer OpenAI is once again in hot water over a privacy issue after it provided a false and damaging answer to a seemingly innocent question. A man from Norway, named Arve Hjalmar Holmen, asked ChatGPT, “who is Arve Hjalmar Holmen?” and the AI wrongfully accused him of killing two of his sons and trying to kill a third. While there were some factual elements in the answer, the murder allegation was entirely untrue.

    Shocking Response

    According to a report from TechCrunch, Holmen was left stunned after submitting what he thought was a simple inquiry to ChatGPT (you can see the screenshot below). The AI claimed that Holmen had attracted attention due to a horrific incident where he supposedly murdered his two sons, who were ages 7 and 10, in Trondheim back in December 2020. Additionally, it stated that he was later charged with attempting to murder his third son.

    Legal Action Begins

    The AI further claimed that the case was “widely reported in the media” and mentioned that Holmen received a sentence of 21 years in prison.

    In response to this, Holmen is pursuing legal action against OpenAI, with support from the privacy rights organization Noyb. This group argued that while the AI’s accusations were completely unfounded, it did correctly identify Holmen’s hometown and confirmed that he has three sons. Noyb also attempted to investigate why such a misleading response was generated but couldn’t identify a specific reason behind it.

    Responsibility Under GDPR

    While ChatGPT does contain a notice that its answers may not always be accurate and encourages users to verify important information, Noyb asserts that this disclaimer doesn’t absolve the company from responsibility. They emphasize that OpenAI has an obligation under the European Union’s General Data Protection Regulation (GDPR) to avoid generating seriously false statements in the first place.

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  • OpenAI Launches Tools and API for AI Business Development

    OpenAI Launches Tools and API for AI Business Development

    Key Takeaways

    1. OpenAI has launched new software tools for developers to create customized AI agents for business applications.
    2. AI chatbots, like ChatGPT, are primarily limited to basic question answering and struggle with complex queries.
    3. Agentic AI can perform in-depth research and handle intricate tasks, such as creating tailored travel plans.
    4. The Research API allows developers to build AI agents easily with minimal code, replacing the older Assistants API by 2026.
    5. The Agents SDK enables the development of multi-agent systems, allowing specialized agents to collaborate on customer queries.


    OpenAI has launched new software tools designed for developers of business applications to create AI agents tailored to meet specific customer demands. These tools merge various features from OpenAI’s AI products, making it easier to program these agents.

    The Rise of Chatbots

    AI chatbots, such as OpenAI’s ChatGPT, have gained traction because they can respond to user prompts effectively. Yet, these chatbots are primarily limited to answering basic questions that don’t require extensive analysis or research, like “What is the height of Tokyo Tower?” They rely heavily on the data they were trained on and struggle with generating complex answers.

    Enhanced Capabilities of Agentic AI

    Agentic AI can search the web for information and utilize a computer similarly to a person while tackling intricate queries, like “Create a travel plan to Tokyo that includes popular anime shops and sites with a budget of $2,000.” These AI systems are capable of thorough research and can thoughtfully approach complex tasks.

    To facilitate the development of these AI agents, OpenAI has introduced the Research API, enabling programmers to build agents using only a few lines of code. This new API is derived from the beta version of its Assistants API, with user feedback incorporated to enhance usability and efficiency. The Research API is an expanded version of the existing Chat Completions API, which generates text responses from prompts, and it is now OpenAI’s suggested API for use. The Assistants API is set to be phased out in 2026.

    Multi-Agent Workflows

    OpenAI has also introduced the Agents SDK, which aids developers in creating multi-agent systems where a specialized agent collaborates with others to fulfill customer queries. For instance, one agent could forward product return inquiries to a returns specialist and direct shopping suggestions to a shopping-focused agent.

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  • Perplexity AI Launches Deep Research Tool to Compete with OpenAI, Google

    Perplexity AI Launches Deep Research Tool to Compete with OpenAI, Google

    Key Takeaways

    1. Introduction of Deep Research Tool: Perplexity AI has launched “Deep Research,” a tool designed to provide expert insights quickly and at a lower cost than competitors like OpenAI.

    2. Cost and Accessibility: Unlike OpenAI’s tool priced at $200/month, Perplexity offers a free version with limitations and a pro version for $20/month, allowing users to make up to 500 inquiries daily.

    3. Human-like Research Emulation: The Deep Research tool mimics human research processes, delivering coherent, citation-supported reports in under three minutes across various subjects.

    4. Performance Metrics: Perplexity’s tool scored 21.1% on “Humanity’s Last Exam,” outperforming some models but still behind OpenAI’s 26.6% score.

    5. Legal Challenges and Partnerships: Perplexity faces legal issues over content usage but is forming partnerships with media publishers to establish revenue-sharing agreements.


    Perplexity AI is making a significant commitment to the future of AI research with its new “Deep Research” tool, which aims to deliver expert insights at a faster pace than ever. Founded by Aravind Srinivas, a former researcher at OpenAI, the company has rapidly established itself in the AI landscape, receiving support from big names like Jeff Bezos and Nvidia. Now, it’s directly challenging OpenAI’s expensive research assistant by offering a freemium option that focuses on being user-friendly and quick.

    Deep Research: Expert Analysis in Minutes

    In contrast to OpenAI’s Deep Research, which comes with a steep $200 monthly fee, Perplexity’s tool is free to use, though there are some restrictions. Users who opt for the pro version, costing $20 monthly, can access up to 500 deep research inquiries each day. The web-based AI assistant is also set to launch on iOS, Android, and Mac soon, making comprehensive research easily accessible with just a few clicks.

    Mimicking Human Research

    Deep Research is fundamentally designed to emulate a human’s approach to understanding complicated topics—searching, reading, and refining information before producing a coherent, citation-supported report. It covers a wide array of subjects, including finance, marketing, healthcare, and product research. Notably, it generates results in less than three minutes, which is a stark improvement compared to OpenAI’s tool, requiring five to thirty minutes for similar outcomes.

    Performance and Legal Challenges

    On the performance front, Perplexity’s Deep Research tool achieved a score of 21.1% on “Humanity’s Last Exam,” a benchmark for expert analysis. This result surpasses models like Gemini Thinking (6.2%) and GPT-4o (3.3%), yet it still trails behind OpenAI’s score of 26.6%. Despite these advancements, Perplexity is facing increasing legal challenges, having been sued by major media houses over claims of unapproved content usage. In response, the company is forming partnerships with publishers such as Time and Fortune to create revenue-sharing arrangements.

    As AI research tools continue to evolve, Perplexity’s focus on speed, cost-effectiveness, and user accessibility could position it as an attractive option for users who prefer not to spend large amounts on high-end AI solutions.

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  • Sam Altman Shares OpenAI’s GPT-5 Roadmap on Twitter

    Sam Altman Shares OpenAI’s GPT-5 Roadmap on Twitter

    Key Takeaways

    1. OpenAI’s current AI models include quick-response options (GPT-4o, GPT-4o mini) and complex problem solvers (GPT-o1, GPT-o3 mini), which may confuse users.
    2. GPT-4.5 will be released as the next speedy model, following which no additional non-reasoning models are expected.
    3. GPT-5 will combine fast and reasoning capabilities, replacing both GPT-o3 and GPT-4.5 for a simpler user experience.
    4. Free ChatGPT users will access GPT-5 at a standard intelligence level, while paid users will unlock advanced features.
    5. No specific release timeline for future models has been announced by OpenAI.


    The CEO of OpenAI, Sam Altman, recently shared updates on the company’s AI large language model roadmap via a tweet. This was done to address uncertainties regarding the current two-prong strategy.

    Current Model Options

    AI LLMs, including OpenAI’s ChatGPT, are utilized in various chatbots. Users currently have the option to choose between models designed for quick answers (GPT-4o, GPT-4o mini) and those that can solve complex problems by processing information step-by-step (GPT-o1, GPT-o3 mini). This division can be confusing for everyday users trying to find the right AI model for their needs.

    Upcoming Releases

    To bridge the gap between GPT-4o and GPT-5, OpenAI plans to introduce GPT-4.5 as the next speedy model. After the launch of GPT-4.5, the company does not anticipate releasing any additional non-reasoning models in this series.

    In the next phase, OpenAI aims to merge the capabilities of their fast models with those of their reasoning models for the upcoming GPT-5. This new model will take the place of GPT-o3 and is expected to also replace GPT-4.5, simplifying the selection process for users looking for answers to their queries. At that point, users with free ChatGPT accounts will have access to GPT-5 at a standard intelligence level, while those who pay will unlock advanced intelligence levels and features like voice input and in-depth research.

    No Release Date Yet

    No timeline for future LLM releases from OpenAI has been provided yet. For those unfamiliar with AI, a helpful book is available on Amazon to assist in learning how to use ChatGPT effectively.

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  • TSMC to Manufacture OpenAI’s AI Chips, Not Samsung Foundry

    TSMC to Manufacture OpenAI’s AI Chips, Not Samsung Foundry

    Key Takeaways

    1. AI-powered tools are attracting significant investor interest, but developing them can be costly.
    2. OpenAI is seeking to reduce operating expenses by creating its own hardware instead of relying on Nvidia.
    3. Samsung Foundry was considered for producing AI hardware, but OpenAI has chosen TSMC’s 3nm process instead.
    4. OpenAI plans to mass-produce its AI chips by 2026, with designs nearing completion.
    5. OpenAI is investing $500 million in its proprietary AI chip, aiming for long-term savings in operational costs.


    Development of AI-powered tools appears to be a profitable venture. An increasing number of investors are keen on backing these kinds of projects. Nonetheless, creating AI products can be pretty costly if one aims to compete with top players in the market. OpenAI, which is the parent organization of ChatGPT, is fully aware of these financial challenges, prompting them to seek ways to reduce operating expenses.

    OpenAI’s Strategy for Cost Reduction

    As per various reports, one of the strategies OpenAI intends to adopt for long-term savings involves crafting its own hardware to manage AI services. At present, the company relies on Nvidia, which holds a dominant position as the leading supplier of AI hardware globally. Nevertheless, Nvidia’s stronghold allows it to dictate prices that some companies, including OpenAI, find excessive.

    Samsung Foundry vs. TSMC

    Samsung Foundry has surfaced as a key potential producer for OpenAI’s AI hardware after a dialogue took place between Samsung Electronics Chairman Jay Y. Lee and OpenAI CEO Sam Altman during the week of February 3 to February 9. Some insiders hinted that the production of OpenAI’s AI chips using Samsung’s 3nm process was among the matters discussed. However, a recent report from Reuters suggests that OpenAI has opted for TSMC’s 3nm process instead.

    Future Plans and Investments

    The AI-centric firm won’t be the first significant player to part ways with Samsung after encountering issues and dissatisfaction with its wafer performance. Other companies like Qualcomm and Nvidia have also transitioned to TSMC for their needs. OpenAI is said to aim for the mass production of its AI chips by 2026. In the near future, TSMC might receive designs from OpenAI to kick off production tests, with reports indicating that the hardware design is nearing completion.

    OpenAI plans to invest approximately $500 million in the creation of its proprietary AI chip. Though this initial expense seems steep, the long-term savings in operational costs could be substantial. Apple previously took a similar path by moving away from Intel in favor of its own ARM chips for the Mac lineup.

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  • DeepSeek May Soon Be Banned in the US, Says ARM CEO

    DeepSeek May Soon Be Banned in the US, Says ARM CEO

    Key Takeaways

    1. DeepSeek, a Chinese AI firm, claims high efficiency with its V3 model costing only $5.576 million to train, outperforming competitors like OpenAI’s o1 model.
    2. Concerns over national security have arisen, leading to actions such as NASA restricting access to DeepSeek and the U.S. Navy advising against its use.
    3. DeepSeek’s R1 model is reported to be 50-75% more effective than rivals while being free, open source, and capable of running on consumer devices.
    4. The rise of DeepSeek has caused a significant decline in AI-related stocks, with Nvidia losing $600 billion in market value due to fears of cheaper AI models reducing demand for costly chips.
    5. Major U.S. companies, including Microsoft and Perplexity, are adopting DeepSeek’s services, while Chinese smartphone manufacturers are collaborating to create lighter versions of its R1 model for on-device AI.


    DeepSeek is a Chinese AI firm that has really made waves in the industry due to its claims of high efficiency. They say that training their V3 model, which came before the now-popular R1 model, costs only $5.576 million.

    Rising Concerns

    Since the R1 model’s launch, DeepSeek has gained massive recognition globally. However, the CEO of Arm warns that the U.S. government might soon impose a ban on this Chinese AI company. What’s the concern about national security? Let’s dig into the possible reasons behind this.

    A prior report noted that NASA has already restricted DeepSeek from its systems, and the U.S. Navy has advised their personnel against utilizing this AI service.

    Efficiency and Performance

    DeepSeek is said to be 50-75% more effective than its rivals. It manages to perform better than OpenAI’s o1 model in a variety of tests while using less power and computing resources. Moreover, it’s offered for free and is open source, allowing anyone to create their own AI applications based on it.

    Worried about privacy? Users can download the model and run it on their own machines. The models with 7b or 8b parameters (both under 5GB in size) can be set up and used on regular consumer devices.

    Market Impact

    One possible explanation for the CEO’s prediction is that DeepSeek’s global adoption (including in the U.S.) has caused a significant decline in AI-related stocks, with Nvidia losing $600 billion in market value. This decline stems from concerns that cheaper AI models might lessen the demand for costly AI chips.

    DeepSeek has not only topped the Apple app store but has also persuaded U.S.-based giants like Microsoft to use its services, which were previously loyal to OpenAI. Perplexity has also integrated DeepSeek R1 into its system for enhanced reasoning and smarter responses, which they are now utilizing on their servers.

    As we wait to see if the prediction holds true, it will be interesting to watch how U.S. companies already using DeepSeek navigate these developments.

    Additionally, many Chinese smartphone manufacturers, such as Huawei, Honor, Oppo, and ZTE, are collaborating with DeepSeek to create lighter versions of the R1 model tailored for their on-device AI requirements.

  • World Bans DeepSeek: Is Chinese AI a Global Threat?

    World Bans DeepSeek: Is Chinese AI a Global Threat?

    Several nations have begun taking steps against DeepSeek, a Chinese AI platform, due to worries about national security, data privacy, and its potential connections to the Chinese government. Officials are concerned that DeepSeek may represent a security threat because of its origins and the risk of data being shared with Chinese state organizations.

    National Security and Privacy Concerns

    DeepSeek has faced bans in numerous countries, mainly driven by security and privacy issues. Authorities are anxious that the Chinese government might access user information gathered by DeepSeek under China’s National Intelligence Law. There are significant worries regarding the platform’s unclear methods of managing user data, which heightens fears of data leaks or unauthorized sharing of information.

    Countries That Have Banned DeepSeek

    Australia
    Australia has imposed a ban on DeepSeek for all government devices due to national security threats. The Department of Home Affairs has instructed all government bodies to eliminate DeepSeek, with Home Affairs Minister Tony Burke stressing that this ban is intended to safeguard Australia’s national interests.

    South Korea
    In South Korea, the use of DeepSeek has been prohibited on devices used by government employees across various ministries and state-run organizations due to concerns about security and privacy. Several agencies, including Korea Hydro & Nuclear Power, have blocked AI services such as DeepSeek, while the country’s Personal Information Protection Commission is looking into how DeepSeek handles user data.

    Italy
    Italy has also moved to limit DeepSeek, especially concerning the management of data related to Italian users. The Italian Data Protection Authority (Garante) imposed certain restrictions and requested information regarding DeepSeek’s data policies, highlighting a lack of clarity in its data management practices.

    Taiwan
    Taiwan has decided to ban DeepSeek from all governmental departments due to national security worries and has blocked it from all governmental networks.

    United States is Considering a Ban
    The United States has yet to enforce a ban on DeepSeek but is contemplating restricting its use. NASA has already prohibited DeepSeek from its systems, and the U.S. Navy has advised personnel against using this AI service. Additionally, U.S. lawmakers are in the process of drafting a bill to prohibit DeepSeek on government-owned devices due to security apprehensions.

    What Data Does DeepSeek Collect?

    As per its privacy policy, DeepSeek gathers personal data such as email addresses, phone numbers, passwords, and birth dates. It also saves chat logs, which include user interactions with the chatbot. The platform collects technical data like IP addresses, keystroke patterns, and operating system information. Data is shared with service providers and advertising partners, raising alarms about how long this information is kept and who has access to it.

    DeepSeek’s Data Practices Compared to Other AI Platforms

    DeepSeek’s data collection methods are not particularly distinct. Other AI platforms, such as OpenAI’s ChatGPT, also collect user data. Nevertheless, OpenAI adheres to stricter data protection laws in areas like the EU. Western governments feel that OpenAI can be regulated, while they view Chinese platforms like DeepSeek as direct threats to security.

    What Lies Ahead for DeepSeek?

    DeepSeek has made waves in the AI sector with its cost-efficient model. While OpenAI’s GPT-4 incurred training expenses exceeding $100 million, DeepSeek’s latest model was developed for under $6 million. Its swift rise in popularity has even led to a 17% decline in Nvidia’s stock price, causing notable changes in global AI investment patterns.

    As more governments assess the risks associated with DeepSeek, there could be further bans in place. Western nations continue to scrutinize the security ramifications of Chinese AI platforms, highlighting apprehensions regarding espionage and unauthorized access to data. The debates surrounding DeepSeek illustrate a larger conflict between AI progress and national security strategies across the globe.

  • OpenAI Enables ChatGPT Searches Without an Account

    OpenAI Enables ChatGPT Searches Without an Account

    OpenAI has now made ChatGPT, its large language model chatbot, freely available to everyone without needing to log in. Users can simply bookmark ChatGPT and utilize it to get thoughtful answers to their questions, rather than sifting through a lengthy list of results typically provided by search engines like Google.

    The Evolution of AI Chatbots

    AI chatbots, including those developed by OpenAI, are capable of sifting through vast amounts of information and presenting summaries much like a human would. Some of the most notable chatbots in the market today are OpenAI’s ChatGPT, xAI Grok, Anthropic Claude, Meta AI, Deepseek V3, and Google Gemini. If you’re curious about what ChatGPT can offer, there’s a book available on Amazon detailing its various functionalities.

    The Convenience of No Account Requirement

    A downside of many chatbot services is that they often necessitate users to set up an account and log in. This requirement can make it more cumbersome to use AI for searching, and it also risks exposing personal account details or phone numbers to external parties. By eliminating the need for accounts, OpenAI positions itself as the leading AI search option for users who are privacy-conscious or simply prefer not to go through the hassle of signing up.

    Features Available and Premium Options

    The account-free version of ChatGPT allows users to generate text for essays or emails, engage in simple conversations to get answers or chat, translate languages, solve math problems, and conduct general research for facts. However, to access more advanced features like image generation, coding assistance, and file input, users will need to subscribe to a paid account.

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