Tag: OpenAI

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

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  • 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.

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  • 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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    OpenAI Enables ChatGPT Searches Without an Account
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  • Krafton Partners with OpenAI to Transform the Future of Gaming

    Krafton Partners with OpenAI to Transform the Future of Gaming

    Krafton, the famous creator behind the world-wide hit “PUBG: Battlegrounds,” is venturing into thrilling new areas in gaming with assistance from OpenAI. During a recent meeting in Seoul with OpenAI’s CEO, Sam Altman, Krafton’s CEO, Kim Chang-han, talked about possible partnerships that could transform the gaming landscape.

    Enhancing NPC Intelligence

    The main topic of their talks was to use OpenAI’s advanced large language models (LLMs) for creating smart AI characters. These “virtual cooperative characters” (CPCs) aim to surpass the usual non-playable characters (NPCs) by having more natural and meaningful dialogues with players, which should enhance the overall gaming experience.

    Krafton’s AI Innovations

    This partnership is in line with Krafton’s recent breakthroughs in AI-focused gaming. Earlier in the year at CES 2025, they presented their own CPC technology developed along with Nvidia. This advancement is a major step forward that allows players to interact with AI characters in a more lively and realistic manner.

    Krafton intends to weave this sophisticated AI tech into both their existing and future gaming titles. The iconic “PUBG: Battlegrounds,” which made Krafton a household name globally, is set to gain from this collaboration, promising players more exciting and unpredictable gameplay. Furthermore, the upcoming life simulation game “inZOI,” slated for release later this year, will also feature these advanced AI capabilities, aiming to change the game genre.

    OpenAI’s Broader Ambitions

    Outside the gaming sphere, OpenAI is branching into hardware, robotics, AI chips, and quantum computing. Their recent trademark registrations indicate a keen interest in AI-powered consumer gadgets, such as smartwatches, AR/VR headsets, headphones, and humanoid robots that can learn new things.

    Additionally, OpenAI is teaming up with Broadcom and TSMC to create custom AI chips, with plans to launch them by 2026. Although these initiatives are still at a nascent stage, OpenAI is actively collaborating with partners to introduce AI-driven innovations to the market.

    This collaboration between Krafton and OpenAI signifies a pivotal move towards the future of gaming, where AI will increasingly shape immersive, interactive, and tailored experiences for gamers around the globe.

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  • OpenAI Expands into Humanoid Robots, AI Chips, and Smart Jewelry

    OpenAI Expands into Humanoid Robots, AI Chips, and Smart Jewelry

    OpenAI submitted a fresh trademark application to the United States Patent and Trademark Office (USPTO) on January 31, 2025. This move indicates that OpenAI is looking to grow into new areas, such as hardware and robotics. While the application mentions possible new products, it’s essential to understand that these innovations might take a few years before they are available to consumers.

    What Products Are on the Horizon?

    The trademark application lists several hardware products, including headphones, glasses, smartwatches, smart jewelry, and cases for laptops and phones. OpenAI also suggests that it may enter the virtual reality (VR) and augmented reality (AR) sectors with new headsets. These products are intended to be compatible with AI technologies, aiming to improve user experiences through AI-enhanced simulations and training.

    Collaborations and Production Timeline

    OpenAI CEO Sam Altman has stated that the company is collaborating with various firms to introduce AI-focused consumer electronics to the market. Nevertheless, it is still uncertain when these products will be ready, as prototypes are anticipated to require several years for development.

    Advancements in Robotics

    In addition to hardware, the trademark application indicates that OpenAI aims to explore robotics, particularly humanoid robots. These robots will be programmable by users and will possess sophisticated communication and learning capabilities. To aid this vision, OpenAI has established a new robotics team led by Caitlin Kalinowski, who previously worked in Meta’s AR glasses sector. This team will concentrate on building robots equipped with tailored sensors and AI to replicate human intelligence and behavior effectively.

    Exploring AI Chips and Quantum Tech

    OpenAI is also looking into creating custom AI chips to enhance the performance of its AI models. The company is collaborating with Broadcom and TSMC, aiming to launch these chips by 2026. Furthermore, OpenAI is investigating quantum computing to utilize this technology for optimizing AI models in the future.

    While the trademark application showcases OpenAI’s aspirations in hardware, robotics, AI chips, and quantum computing, it’s still unclear when these advancements will become available to the public. The company is dedicated to developing AI-powered products, yet a significant amount of the work remains in the initial phases.

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  • OpenAI Unveils Enhanced O3-Mini AI with Free ChatGPT Access

    OpenAI Unveils Enhanced O3-Mini AI with Free ChatGPT Access

    OpenAI has introduced its newest AI large language model, the o3-mini, which is quicker and more efficient than its earlier version, the o1-mini, in delivering precise responses. This model marks the first small reasoning LLM that is freely available for all ChatGPT account holders starting today.

    Three Reasoning Levels

    The o3-mini model offers three levels of reasoning efforts: low, medium, and high. Users with a free ChatGPT account can access o3-mini at the medium reasoning level without any cost, while those with paid accounts have the option to select either the low or high reasoning levels. Subscribers of ChatGPT Plus, Team, and Pro can utilize o3-mini right away, but Enterprise users will need to wait until February. For developers eager to build popular apps utilizing the OpenAI o3-mini API, guidance is available in a book on Amazon.

    Performance Comparison

    Overall, o3-mini in medium or high reasoning modes excels beyond o1-mini according to standardized AI benchmarks, especially in tasks that require reasoning. In high reasoning mode, o3-mini even surpasses the larger o1 model on certain benchmarks; however, it doesn’t have o1’s capability to interpret images or handle visual data.

    Speed and Efficiency

    Interestingly, o3-mini delivers responses 24% faster, which equates to approximately 2.46 seconds quicker than o1-mini. This improvement not only decreases the waiting time for ChatGPT users but also lessens the carbon footprint associated with running o3-mini. While it is more efficient, hackers might find o3-mini disappointing, as its potential for being utilized in cybersecurity attacks has been significantly limited.

    OpenAI news release, OpenAI o3-mini system card

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    OpenAI Unveils Enhanced O3-Mini AI with Free ChatGPT Access
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  • Why DeepSeek Stands Out Among AI Models

    Why DeepSeek Stands Out Among AI Models

    The AI sector has been largely led by American firms such as OpenAI, Google, and Meta for quite some time. Nevertheless, the rise of DeepSeek, a new AI startup from China, has changed the international AI scene.

    DeepSeek-R1 Model Breakthrough

    DeepSeek’s newest product, the DeepSeek-R1, is gaining attention due to its impressive performance, open-source framework, and affordable development costs. As artificial intelligence continues to play a vital role in tech advancements, it’s important to recognize how DeepSeek sets itself apart from other prominent models.

    Open-Source Advantages

    Unlike U.S. AI leaders like OpenAI, DeepSeek embraces an open-source strategy. By offering its DeepSeek-R1 model under an MIT license, it allows researchers, developers, and businesses to freely access, alter, and use the technology. In contrast, OpenAI has shifted away from its original commitment to open-source, choosing to keep its newer GPT models closed off. This open-source model promotes higher transparency, encourages cooperative enhancements, and reduces the obstacles to AI integration, making DeepSeek an appealing choice for companies and independent developers who wish to avoid being confined to proprietary systems.

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