Top 5 stories of the week: Nvidia and OpenAI updates, 2023 cybersecurity predictions and more

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As we enter December, marking the end of the year and beginning to look ahead to what’s on the horizon for the tech industry as we approach 2023, experts across a range of companies have unveiled their predictions, insights and even a look at upcoming innovations.

Even in the midst of a possible recession, it’s clear that artificial intelligence (AI) experts expect innovation to continue—especially when it comes to generative AI. In fact, this week Nvidia CEO Jensen Huang shared insights into the wide-ranging use cases generative AI can offer for the metaverse, including the growing demand to populate the virtual world with 3D and graphical assets.

Relatively speaking, OpenAI, the company behind generative AI tools DALL-E and GPT-3, noted this week that it is working on a new AI-powered language model that will become part of the GPT-3 family. Reportedly, the model, GPT-3.5, will be able to handle more complex instructions and again produce higher quality results.

AI advances in the medical field also hit the news this week. Nvidia announced that it is working to better integrate AI models into clinical workflows and also aims to make medical imaging easier — an area that Harvard Medical School’s AI research team is also working on separately.


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With the many technological advances across industries come discussions about cybersecurity vulnerabilities. 2022 was a year of many victories and also worries for IT and security experts. Just as a Twitter API breach exposed the information of 5.4 million users, which was recently made available for free by hackers – security continues to be an ever-changing landscape with rapidly changing goals. To gain insight into the biggest threats, VentureBeat spoke with 31 CISOs from companies including Google, IBM, Microsoft, AWS and dozens of others about what they’re keeping a close eye on heading into the new year.

Here’s more from this week’s top 5 tech stories:

  1. How generative AI could create assets for the metaverse
    Jensen Huang, CEO of AI and graphics chip maker Nvidia, believes that generative AI will be transformative and it’s just getting started. One of the biggest applications may be with metaverse, which has high content requirements as developers need to populate virtual worlds with 3D assets. Companies such as Stable Diffusion, Promethean AI, and Ludo AI use these technologies to automatically generate artwork and other assets for games and metaverse applications.

    Many metaverse companies are hoping that generative AI will help provide the resources to help them build out their worlds. Huang thinks you’ll see progress as you enter more and more questions—for example, text to flesh out a concept—and the concept picture gets better and better.

  1. OpenAI debuts ChatGPT and GPT-3.5 series as GPT-4 rumors fly
    While GPT-4 rumors are flying around this week’s NeurIPS 2022 in New Orleans (including whispers that details about GPT-4 will be revealed there), OpenAI has managed to make a lot of news in the meantime.

    On Monday, the company announced a new model in the GPT-3 family of AI-powered large language models (LLM), text-davinci-003, part of what it calls the “GPT-3.5 series,” which reportedly improves on its predecessor by handling more complex instructions and produce higher quality, longer format content.

  1. Twitter API security breach exposes 5.4 million users’ data
    In July of this year, cybercriminals began selling the user data of more than 5.4 million Twitter users on a hacking forum after exploiting an API vulnerability disclosed in December 2021.

    Recently, a hacker released this information for free, just as other researchers reported a breach affecting millions of accounts across the EU and US

  1. The future of artificial intelligence and medical imaging, from Nvidia to Harvard
    Nvidia announced this week at the annual meeting of the Radiology Society of North America (RSNA) that MONAI, an open source framework for medical imaging accelerated by Nvidia, makes it easier to integrate AI models into clinical workflows with MONAI Application Packages (MAPs), provided through MONAI Deploy.

    Nvidia and King’s College London introduced MONAI in April 2020 to simplify medical imaging workflows. This helps transform raw image data into interactive digital twins to improve analysis or diagnostics, or guide surgical instruments. The development and adoption of the platform now has over 600,000 downloads, half of these in the last six months.

  1. 31 CISOs share their security priorities and predictions for 2023
    2022 was a pivotal year in the cyber threat landscape. Securing the software supply chain and open source software ecosystem, implementing zero trust, and educating employees about the risks of social engineering and phishing attempts are just some of the areas CISOs are considering to mitigate potential risks.

    Executives from Google, Microsoft, AWS, IBM and more told VentureBeat what they predict for the cybersecurity sector in the coming year and what is most important to them going forward.

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