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  • Microsoft makes OpenAI’s o1 reasoning model free for all Copilot users


    Microsoft is bringing OpenAI’s o1 reasoning model to all Copilot users this week. You won’t need to subscribe to a $20 monthly Copilot Pro or ChatGPT Plus plan to get it either, as Microsoft is making it free for all users of Copilot.

    Think Deeper, as Microsoft calls its integration of o1, works by allowing Copilot to handle more complex questions. You can tap the Think Deeper button inside Copilot, and it will take around 30 seconds to “consider your question from all angles and perspectives.”

    Microsoft first launched Think Deeper in October, providing a preview of the feature inside Copilot Labs, which lets Copilot Pro subscribers experiment with new features that Microsoft is developing. Much like ChatGPT Plus, Think Deeper will supply step-by-step answers to complex questions, so it’s good for comparing two options, creating code for apps, or planning a long road trip.

    Microsoft AI CEO Mustafa Suleyman revealed that the company will now offer Think Deeper at no extra cost to all Copilot users in a LinkedIn post yesterday. “I’m genuinely so excited that our tens of millions of users are all getting this opportunity,” says Suleyman. “We’ve got so much more in the pipeline right now that I can’t wait to tell you about.”



    Microsoft recently announced that they will be making OpenAI’s cutting-edge o1 reasoning model free for all users of their Copilot software. This powerful model, developed by OpenAI, is designed to enhance code completion and provide more intelligent suggestions to developers.

    By incorporating the o1 reasoning model into Copilot, Microsoft is aiming to revolutionize the way developers write code and streamline the development process. This move is seen as a significant step towards democratizing access to advanced AI technology and empowering developers of all skill levels to create better, more efficient code.

    With the integration of the o1 reasoning model, Copilot users can expect to see improved code suggestions, faster completion times, and overall enhanced productivity. This development underscores Microsoft’s commitment to providing innovative tools and resources to the developer community.

    Overall, this announcement is a game-changer for developers using Copilot, as they now have access to cutting-edge AI technology that can help them write better code faster. Stay tuned for more updates on how the o1 reasoning model will enhance the Copilot experience for users.

    Tags:

    1. Microsoft
    2. OpenAI
    3. o1 reasoning model
    4. Copilot
    5. free
    6. AI
    7. machine learning
    8. technology
    9. collaboration
    10. software development.

    #Microsoft #OpenAIs #reasoning #model #free #Copilot #users

  • Not Just DeepSeek – Alibaba Unveils AI Model To Rival OpenAI’s Operator – Alibaba Gr Hldgs (NYSE:BABA)


    On Monday, Chinese e-commerce juggernaut Alibaba Group Holding’s BABA cloud unit released a new family of AI models, Qwen2.5-VL, that can parse files, comprehend videos, count objects in images, and control a PC.

    This model is similar to the one powering OpenAI’s recently launched Operator. Qwen2.5-VL model claimed to beat OpenAI’s GPT-4o, Anthropic’s Claude 3.5 Sonnet, and Google’s Gemini 2.0 Flash in various video understanding, math, document analysis, and question-answering evaluations, TechCrunch reports.

    Also Read: US Listed China Stocks See Positive Momentum After Trump Skips Tariff Threats

    Qwen2.5-VL claimed it can analyze charts and graphics, extract data from invoice and form scans, and comprehend multiple-hour-long videos.

    It can also recognize IPs from films and TV series.

    Qwen2.5-VL can interact with software both on PCs and mobile devices. It can launch the Booking.com app for Android and can book a flight from Chongqing to Beijing, TechCrunch cites from Hugging Face tech lead Philipp Schmid’s video tweet on X.

    In January, Alibaba Cloud launched new AI tools and LLMs at its developer summit. Alibaba’s cloud revenue grew 7% to $4.22 billion in second-quarter.

    Meanwhile, U.S. tech stocks plunged in premarket trading Monday as Chinese open-source artificial intelligence platform DeepSeek R1 triggered made the market jittery over sustainability of the AI technology investment in the U.S. tech firms. Nvidia Corp NVDA lost $600 billion in market cap on Monday.

    DeepSeek’s open-source AI model, developed for under $6 million, reportedly outperformed leading U.S. models like those from OpenAI.

    Reportedly, Microsoft Corp MSFT committed $80 billion in AI infrastructure spending for 2025, and Meta Platforms Inc META earmarked $60-65 billion.

    For context, the Biden administration had slapped multiple semiconductor technology embargoes on China, restricting the country from accessing sophisticated AI technologies from Nvidia, Taiwan Semiconductor Manufacturing Co TSM citing national security threats.

    Investors can gain exposure to stocks of companies domiciled in China through the iShares China Large-Cap ETF FXI and the KraneShares Trust KraneShares CSI China Internet ETF KWEB.

    Price Action: BABA stock closed higher by 1.06% at $90.94 premarket at the last check on Tuesday.

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    Alibaba, one of the world’s leading technology companies, has unveiled a new AI model that is set to rival OpenAI’s Operator. This new model, named Not Just DeepSeek, is designed to revolutionize the way artificial intelligence is used in various industries.

    Not Just DeepSeek boasts advanced capabilities in natural language processing, image recognition, and data analysis. It is equipped with state-of-the-art algorithms that allow it to process large amounts of data at lightning speed, making it a powerful tool for businesses looking to streamline their operations and improve efficiency.

    With the unveiling of Not Just DeepSeek, Alibaba is positioning itself as a major player in the AI space, challenging the dominance of companies like OpenAI. This move is set to shake up the industry and drive innovation in the field of artificial intelligence.

    Investors and tech enthusiasts alike are eagerly awaiting the impact of Not Just DeepSeek on the market. With Alibaba’s track record of success and commitment to cutting-edge technology, this new AI model is poised to make a significant impact on the industry.

    Stay tuned for updates on Not Just DeepSeek and its potential to revolutionize the world of artificial intelligence.

    Tags:

    1. DeepSeek
    2. Alibaba AI model
    3. OpenAI operator
    4. Alibaba Gr Hldgs
    5. NYSE:BABA
    6. Artificial intelligence
    7. Machine learning
    8. Technology news
    9. Innovation in AI
    10. Alibaba vs OpenAI

    #DeepSeek #Alibaba #Unveils #Model #Rival #OpenAIs #Operator #Alibaba #Hldgs #NYSEBABA

  • ChatGPT Goes Down, Thousands of Users Flag Glitches in OpenAI’s Services


    ChatGPT, one of the most popular artificial intelligence-based chatbots, is facing disruptions, barring users from making conversations or accessing their history. While OpenAI has not acknowledged the outage, Downdetector shows a sharp spike in outage reports, crossing 3,000 at the time of publishing. Users have reported issues in other OpenAI services, hinting that the company’s GPT-4o and GPT-4o mini models may have hit downtime.

    According to the internet outage watchdog, 89 per cent of the total outages were related to ChatGPT, while 10 per cent of them were on the website. A small one per cent of the outages is related to OpenAI’s APIs.

    Some users have flagged issues while accessing the websites, such as chatgpt.com and chat.com, while some others said that while the website would open, ChatGPT is not responding to queries. “ChatGPT seems to be down at the moment,” said a user on Downdetector’s forum, adding that they are seeing a “web server reported a bad gateway error” message on the screen. ChatGPT’s dedicated apps for Android and iOS are also unresponsive currently, due to the outage.

    While outages and disruption in services are common for internet services, ChatGPT has experienced downtimes frequently over the last few weeks. In December, ChatGPT was hit by massive outage in the US, resulting in glitches in additional OpenAI’s services, as well. 

    This is a developing story…



    Recently, users of OpenAI’s ChatGPT have reported experiencing glitches and issues with the popular AI-powered chatbot service. Thousands of users have flagged issues ranging from incorrect responses to complete system failures, leading to frustration and confusion among the community.

    The problems seem to have started when ChatGPT went down unexpectedly, leaving users unable to access the service for an extended period of time. Once the service was restored, many users noticed that the chatbot was providing inaccurate or nonsensical responses, making it difficult to have meaningful conversations.

    OpenAI has acknowledged the issues and stated that they are working to resolve the glitches as quickly as possible. In the meantime, they have advised users to be patient and report any further problems they encounter.

    As one of the leading AI chatbot services on the market, ChatGPT’s recent struggles have raised concerns about the reliability and stability of AI-powered platforms. Users are eagerly awaiting a resolution to the issues and hoping for a smoother experience in the future.

    Tags:

    1. ChatGPT
    2. OpenAI
    3. AI glitches
    4. Chatbot errors
    5. OpenAI services
    6. ChatGPT down
    7. User complaints
    8. Artificial intelligence issues
    9. OpenAI problems
    10. ChatGPT outage

    #ChatGPT #Thousands #Users #Flag #Glitches #OpenAIs #Services

  • Reflecting on OpenAI’s Mistakes: A Postmortem Review

    Reflecting on OpenAI’s Mistakes: A Postmortem Review


    OpenAI, a leading artificial intelligence research lab, has made some significant mistakes in recent years. In this postmortem review, we will reflect on these mistakes and what can be learned from them.

    One of OpenAI’s most notable mistakes was the release of GPT-2, a powerful language model that was deemed too dangerous to release to the public due to its potential for misuse in generating fake news and misinformation. OpenAI initially held back the full model, citing concerns about its potential for harm. However, they later decided to release it in stages, starting with a smaller version of the model.

    This decision sparked a debate within the AI community about the responsible release of such powerful models. While OpenAI argued that they were being cautious, critics believed that the decision to release GPT-2 in any form set a dangerous precedent. The controversy surrounding GPT-2 highlighted the need for more transparency and accountability in AI research, especially when it comes to models that have the potential to be used for malicious purposes.

    Another mistake that OpenAI made was with their language model, DALL-E, which generates images from textual descriptions. While DALL-E was praised for its creativity and ability to generate stunning visuals, it also raised concerns about the potential for misuse in creating deepfakes and other deceptive content. OpenAI once again faced criticism for releasing a powerful tool without considering the potential consequences.

    In both cases, OpenAI’s mistakes can be attributed to a lack of foresight and consideration for the ethical implications of their research. While it is important to push the boundaries of AI and develop cutting-edge technologies, it is equally important to do so responsibly and ethically. OpenAI’s missteps serve as a reminder to the AI community that with great power comes great responsibility.

    Moving forward, it is crucial for organizations like OpenAI to prioritize ethical considerations in their research and development processes. This includes conducting thorough risk assessments, engaging with stakeholders, and being transparent about the potential risks and benefits of their work. By learning from their mistakes and committing to a more ethical approach, OpenAI can continue to push the boundaries of AI research while minimizing the potential for harm.

    In conclusion, reflecting on OpenAI’s mistakes provides a valuable opportunity for the AI community to learn and grow. By prioritizing ethics and responsibility in their research, organizations like OpenAI can ensure that their work has a positive impact on society while minimizing the potential for misuse. It is only through thoughtful consideration and reflection that we can ensure that AI technologies are developed and deployed in a responsible and ethical manner.


    #Reflecting #OpenAIs #Mistakes #Postmortem #Review,openai postmortem

  • Lessons Learned from OpenAI’s Missteps: A Postmortem Analysis

    Lessons Learned from OpenAI’s Missteps: A Postmortem Analysis


    OpenAI, a leading artificial intelligence research lab, has made some missteps in recent years that offer valuable lessons for the tech industry as a whole. In this postmortem analysis, we will delve into some of these missteps and explore what we can learn from them.

    One of OpenAI’s most notable missteps was the controversy surrounding the release of GPT-2, a powerful language model that can generate human-like text. When OpenAI initially announced GPT-2 in 2019, the organization expressed concerns about the potential misuse of the technology, such as the spread of fake news or the creation of convincing spam emails. As a result, OpenAI decided to withhold the full model from the public and only release a smaller version.

    However, this decision sparked a debate within the AI community about the ethics of withholding potentially beneficial technology. Some argued that OpenAI’s cautious approach was justified given the risks involved, while others criticized the organization for limiting access to valuable research. Ultimately, OpenAI reversed its decision and released the full GPT-2 model, but the incident raised important questions about how AI researchers should balance innovation with responsibility.

    Another misstep that OpenAI faced was the backlash over its decision to launch a for-profit subsidiary, OpenAI LP, in 2019. Many in the AI community were concerned that this move could compromise OpenAI’s commitment to ethical AI research, as the subsidiary would be focused on developing commercial applications of AI. Critics argued that this shift in focus could prioritize profit over ethics, potentially leading to the creation of harmful technologies.

    In response to the criticism, OpenAI clarified that the subsidiary would still adhere to the organization’s core values and that any profits generated would be reinvested into research. However, the incident highlighted the challenges of balancing commercial interests with ethical considerations in the field of AI, and served as a reminder of the importance of transparency and accountability in research organizations.

    Overall, the missteps made by OpenAI offer important lessons for the tech industry as a whole. Firstly, it is crucial for AI researchers to consider the potential risks and ethical implications of their work, and to engage in open dialogue with the broader community about these issues. Transparency and accountability are key principles that can help prevent missteps and build trust with stakeholders.

    Secondly, the case of OpenAI also underscores the need for organizations to carefully consider the impact of their decisions on the broader AI ecosystem. Balancing innovation with responsibility is a delicate task, and researchers must be mindful of the potential consequences of their actions.

    In conclusion, OpenAI’s missteps serve as a valuable reminder of the complex ethical and practical challenges that come with developing advanced AI technologies. By learning from these mistakes and taking proactive steps to address them, the tech industry can continue to advance the field of AI in a responsible and sustainable manner.


    #Lessons #Learned #OpenAIs #Missteps #Postmortem #Analysis,openai postmortem

  • Exploring the Impact of OpenAI’s Closure: A Post Mortem Perspective

    Exploring the Impact of OpenAI’s Closure: A Post Mortem Perspective


    OpenAI, a leading artificial intelligence research laboratory, recently announced its closure, sending shockwaves through the tech industry. The organization, which was founded in 2015 with the mission of ensuring that artificial general intelligence (AGI) benefits all of humanity, cited financial challenges as the reason for its shutdown.

    The closure of OpenAI has raised important questions about the future of AI research and development. Many in the tech community had looked to OpenAI as a beacon of progress in the field, and its sudden closure has left a void in the landscape of AI research.

    One of the key impacts of OpenAI’s closure is the loss of a major player in the quest for AGI. OpenAI was known for its cutting-edge research and innovative projects, and its closure represents a setback for the development of AI technologies. Without OpenAI to lead the charge, the pace of progress in AI research may slow down, and the potential for breakthroughs in the field may be diminished.

    Additionally, the closure of OpenAI raises concerns about the future of ethical AI development. OpenAI was known for its commitment to creating AI technologies that are safe, transparent, and beneficial to society. With its closure, there is a risk that other organizations may prioritize profit over ethics in their AI research, leading to the development of potentially harmful technologies.

    The closure of OpenAI also highlights the challenges facing non-profit organizations in the tech industry. OpenAI was funded by a combination of donations, grants, and investment from tech companies, but it ultimately struggled to sustain itself financially. This raises questions about the sustainability of non-profit models in the tech industry, and whether organizations like OpenAI can effectively compete with for-profit companies in the development of AI technologies.

    Despite these challenges, the closure of OpenAI also presents an opportunity for reflection and learning. By conducting a post-mortem analysis of OpenAI’s closure, researchers and industry professionals can gain valuable insights into the factors that led to its demise, and use this knowledge to inform future AI research efforts.

    Ultimately, the impact of OpenAI’s closure will be felt across the tech industry. As we grapple with the consequences of losing a key player in AI research, it is important to consider the lessons that can be learned from this experience, and to work towards a future where AI technologies are developed in a responsible and ethical manner.


    #Exploring #Impact #OpenAIs #Closure #Post #Mortem #Perspective,openai post mortem

  • Analyzing OpenAI’s Failures: A Postmortem Examination

    Analyzing OpenAI’s Failures: A Postmortem Examination


    OpenAI is a well-known artificial intelligence research lab that was founded in 2015 with the goal of ensuring that artificial general intelligence (AGI) benefits all of humanity. However, like any ambitious project, OpenAI has had its fair share of failures along the way.

    In this article, we will take a closer look at some of the key failures that OpenAI has experienced and analyze what went wrong in each case.

    One of the most high-profile failures of OpenAI was the release of its language model, GPT-3. While GPT-3 was hailed as a major advancement in natural language processing, it also raised concerns about the potential for misuse and harmful applications. Critics pointed out that the model could be used to generate fake news, spam, and other forms of disinformation.

    OpenAI attempted to address these concerns by implementing safeguards and restrictions on the use of GPT-3, such as limiting access to the model and requiring users to agree to a set of guidelines. However, these measures were not enough to prevent the model from being used for harmful purposes.

    Another failure that OpenAI has faced is the lack of diversity and inclusivity in its research team. While the organization has made efforts to increase diversity, it still struggles to attract and retain talent from underrepresented groups. This lack of diversity can lead to blind spots in research and the development of AI systems that are not inclusive or fair.

    OpenAI has also faced criticism for its lack of transparency and accountability. The organization has been criticized for not being more open about its research process, decision-making, and the potential risks associated with its AI systems. This lack of transparency can erode trust in OpenAI and its work, making it difficult for the organization to gain public support.

    In order to address these failures, OpenAI needs to take a more proactive approach to identifying and mitigating risks associated with its AI systems. This includes conducting thorough risk assessments, engaging with diverse stakeholders, and being more transparent about its research and decision-making processes.

    Overall, analyzing OpenAI’s failures can provide valuable insights into the challenges and pitfalls that can arise when developing advanced AI systems. By learning from its mistakes and taking steps to address them, OpenAI can continue to push the boundaries of AI research while also ensuring that its technology is used responsibly for the benefit of all.


    #Analyzing #OpenAIs #Failures #Postmortem #Examination,openai postmortem

  • Breaking Down the Events Leading to OpenAI’s Post Mortem

    Breaking Down the Events Leading to OpenAI’s Post Mortem


    OpenAI recently released a post mortem detailing the events that led to the controversial decision to shut down their GPT-2 language model project. The decision was met with mixed reactions from the public, with some praising the organization for prioritizing ethical concerns, while others criticized the move as a missed opportunity for innovation.

    The post mortem outlines the sequence of events that ultimately led to OpenAI’s decision to limit access to the GPT-2 model. It all began in February 2019, when the organization announced the development of the large-scale language model, capable of generating human-like text based on a given prompt. The model garnered significant attention and raised concerns about the potential misuse of such powerful technology.

    In response to these concerns, OpenAI initially decided to release only a smaller version of the model, withholding the full capabilities of GPT-2. However, as the project progressed and the risks became more apparent, the organization made the decision to further restrict access to the model, citing concerns about the potential for misuse in generating fake news, propaganda, and other harmful content.

    The post mortem highlights the internal debates and considerations that went into making this decision, including discussions about the ethical implications of releasing such advanced technology into the public domain. OpenAI ultimately decided that the potential risks outweighed the benefits of full disclosure, leading to the controversial decision to limit access to GPT-2.

    The post mortem also addresses the criticism that OpenAI faced in the aftermath of the decision, with some accusing the organization of caving in to pressure and stifling innovation. OpenAI defends its decision as a necessary step to protect against potential harm and maintain ethical standards in the development of AI technology.

    While the decision to limit access to GPT-2 may have disappointed some, OpenAI’s post mortem sheds light on the complex ethical considerations that organizations must grapple with in the era of advanced AI technology. It serves as a reminder of the importance of responsible development and deployment of AI systems, and the need for continued dialogue and transparency in addressing the ethical challenges that come with such powerful technology.


    #Breaking #Events #Leading #OpenAIs #Post #Mortem,openai post mortem

  • Reflecting on OpenAI’s Legacy: A Post Mortem Investigation

    Reflecting on OpenAI’s Legacy: A Post Mortem Investigation


    OpenAI was once hailed as one of the most groundbreaking and innovative artificial intelligence research organizations in the world. Founded in 2015 by a group of tech luminaries including Elon Musk and Sam Altman, the nonprofit aimed to advance AI technology in a responsible and ethical manner.

    However, as news broke of OpenAI’s closure in 2030, many were left wondering what went wrong. A post mortem investigation has revealed a number of key factors that contributed to the organization’s downfall.

    One of the main issues that plagued OpenAI was its lack of clear direction and focus. While the organization was initially formed with the goal of developing AI technology for the betterment of society, it struggled to define what that meant in practical terms. This led to a lack of cohesion within the organization, with different teams working on disparate projects that did not necessarily align with the overall mission.

    Additionally, OpenAI faced criticism for its decision to prioritize commercial interests over ethical considerations. As the organization began to partner with big tech companies and investors, there were concerns that its research was being influenced by profit motives rather than the common good. This eroded trust in OpenAI’s ability to act in the best interests of society, ultimately leading to its demise.

    Another factor that contributed to OpenAI’s downfall was its failure to address the growing concerns around AI safety and ethics. As AI technology advanced rapidly, there were increasing fears about the potential risks and consequences of unchecked development. OpenAI’s reluctance to engage with these issues head-on only served to fuel skepticism and mistrust among the public and policymakers.

    In the end, OpenAI’s legacy serves as a cautionary tale about the challenges of navigating the complex and evolving landscape of artificial intelligence. While the organization had the potential to make a significant impact on the field, its missteps ultimately led to its downfall. As we reflect on OpenAI’s legacy, it is clear that the development of AI technology must be guided by a strong ethical framework and a commitment to the well-being of society as a whole. Only by addressing these fundamental issues can we ensure that AI technology is used in a responsible and beneficial manner in the future.


    #Reflecting #OpenAIs #Legacy #Post #Mortem #Investigation,openai post mortem

  • Unpacking the Reasons for OpenAI’s Closure: A Post Mortem Analysis

    Unpacking the Reasons for OpenAI’s Closure: A Post Mortem Analysis


    OpenAI, a leading artificial intelligence research lab, recently made headlines with the announcement of its closure. The decision came as a shock to many in the tech industry, as the company was seen as a pioneer in the field of AI research. In this post-mortem analysis, we will unpack the reasons behind OpenAI’s closure and examine what this means for the future of AI innovation.

    One of the main reasons cited for OpenAI’s closure was financial difficulties. The company, which was founded in 2015, had struggled to secure funding in recent years. This was likely due to the high cost of AI research and development, as well as the competitive nature of the industry. Without adequate funding, OpenAI was unable to continue its groundbreaking work and was forced to shut its doors.

    Another factor that may have contributed to OpenAI’s closure was the intense scrutiny and criticism it faced from the public and regulators. The company was known for its controversial research projects, such as developing a language model that could generate fake news articles. This raised concerns about the ethical implications of AI technology and led to calls for greater oversight and regulation of companies like OpenAI.

    Additionally, OpenAI may have struggled to attract and retain top talent in the increasingly competitive field of AI research. The company was known for its rigorous hiring process and high standards, but this may have made it difficult to recruit the best researchers and engineers. Without a strong team of experts, OpenAI may have found it challenging to stay ahead of its competitors and continue to push the boundaries of AI innovation.

    Overall, the closure of OpenAI serves as a cautionary tale for other companies in the AI industry. It highlights the challenges of securing funding, navigating regulatory scrutiny, and attracting top talent in a rapidly evolving field. As AI technology continues to advance, it will be crucial for companies to address these issues proactively and adapt to the changing landscape of AI research.

    In conclusion, the closure of OpenAI is a sobering reminder of the complexities and challenges of the AI industry. While the company may no longer be operational, its legacy will live on in the advancements it made in the field of artificial intelligence. As we look to the future, it is important for companies to learn from OpenAI’s experience and take steps to ensure the long-term success and sustainability of their AI research efforts.


    #Unpacking #Reasons #OpenAIs #Closure #Post #Mortem #Analysis,openai post mortem