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Google strikes back at OpenAI with β€œProject Astra” AI agent prototype

14 May 2024 at 15:11
A video still of Project Astra demo at the Google I/O conference keynote in Mountain View on May 14, 2024.

Enlarge / A video still of Project Astra demo at the Google I/O conference keynote in Mountain View on May 14, 2024. (credit: Google)

Just one day after OpenAI revealed GPT-4o, which it bills as being able to understand what's taking place in a video feed and converse about it, Google announced Project Astra, a research prototype that features similar video comprehension capabilities. It was announced by Google DeepMind CEO Demis Hassabis on Tuesday at the Google I/O conference keynote in Mountain View, California.

Hassabis called Astra "a universal agent helpful in everyday life." During a demonstration, the research model showcased its capabilities by identifying sound-producing objects, providing creative alliterations, explaining code on a monitor, and locating misplaced items. The AI assistant also exhibited its potential in wearable devices, such as smart glasses, where it could analyze diagrams, suggest improvements, and generate witty responses to visual prompts.

Google says that Astra uses the camera and microphone on a user's device to provide assistance in everyday life. By continuously processing and encoding video frames and speech input, Astra creates a timeline of events and caches the information for quick recall. The company says that this enables the AI to identify objects, answer questions, and remember things it has seen that are no longer in the camera's frame.

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Google is β€œreimagining” search in β€œthe Gemini era” with AI Overviews

14 May 2024 at 14:33
Search for the best pilates studioes in Boston

Enlarge / "Google will do the Googling for you," says firm's search chief. (credit: Google)

Search is still important to Google, but soon it will change. At its all-in-one AI Google I/O event Tuesday, the company introduced a host of AI-enabled features coming to Google Search at various points in the near future, which will "do more for you than you ever imagined."

"Google will do the Googling for you," said Liz Reid, Google's head of Search.

It's not AI in every search, but it will seemingly be hard to avoid a lot of offers to help you find, plan, and brainstorm things. "AI Overviews," the successor to the Search Generative Experience, will provide summary answers to questions, along with links to sources. You can also soon submit a video as a search query, perhaps to identify objects or provide your own prompts by voice.

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Google Brings Gemini AI to Cybersecurity

Gemini AI, Google Gemini AI, Google Threat Intelligence

Google has brought together its Gemini AI model with its Mandiant cybersecurity unit and VirusTotal threat Intelligence to enhance threat landscape accessibility and efficiency. The company also plans to use its Gemini 1.5 Pro large language model, released in February, to ease the understanding of threat reports for a broader audience. At the RSA Conference in San Francisco, Google unveiled their latest AI-based solution to add more value to threat intelligence. Tackling the long-standing challenges of fragmented threat landscapes and cumbersome data collection processes, Google Threat Intelligence integrates Mandiant's frontline expertise, real-time contributions from VirusTotal's global community and Google's visibility into extensive user and device footprint to deliver a comprehensive defense against evolving cyber threats. Bernardo Quintero, founder of VirusTotal called this initiative a β€œsharing knowledge, protecting together” mission, which it has embraced with Google and Mandiant.
β€œI want to assure our entire community, from security researchers and industry partners to individual users, that VirusTotal's core mission remains unchanged. We remain deeply dedicated to collective intelligence and collaboration, fostering a platform where everyone can come together to share knowledge, access valuable threat information, and contribute to the fight against cyber threats,” Quintero said.
β€œVirusTotal remains committed to a level playing field, ensuring all partners, including Google Threat Intelligence, have equal access to the crowdsourced data VirusTotal collects. We also want to assure you that the core features and functionalities of VirusTotal will remain free and accessible to everyone, as always,” he added, clearing the air around VirusTotal’s future. β€œThe strength of VirusTotal lies in its network of contributors and the vast amount of data they provide. This data serves as a valuable resource for the entire security industry, empowering our partners and others to enhance their products and contribute to a more secure digital world. This collaborative approach, based on transparency and equal access, strengthens the industry as a whole, ultimately leading to better protection for everyone.”

Challenges Addressed and Google’s Gemini AI Integration

For years, organizations have grappled with two primary hurdles in threat intelligence: a lack of holistic visibility into the threat landscape and the arduous task of collecting and operationalizing intelligence data. Google's new offering aims to address these challenges head-on providing insights and operational efficiency to security teams worldwide. The integration of Gemini, Google's AI-powered agent, enhances the operationalization of threat intelligence, streamlining the analysis process and accelerating response times. Using the Gemini 1.5 Pro large language model, Google claims to significantly reduce the time required to analyze malware attacks. For instance, the model took only 34 seconds to dissect the WannaCry virus and identify a kill switch, demonstrating its efficacy in threat analysis. Another key feature of Gemini AI is its ability to summarize threat reports into natural language, aiding companies in assessing potential attacks' impact and prioritizing responses. Threat Intelligence also offers a comprehensive threat monitoring network, empowering users to gain insights into the cybersecurity landscape and prioritize their defense strategies. Mandiant's experts, acquired by Google in 2022, play a vital role in assessing security vulnerabilities in AI projects through the Secure AI Framework. They conduct rigorous testing to fortify AI models against potential threats like data poisoning, ensuring their resilience against malicious exploitation. While Google is pioneering the integration of AI into cybersecurity, other tech giants like Microsoft are also exploring similar avenues, underscoring the growing significance of AI in safeguarding digital assets against evolving threats. As cyber threats continue to evolve, proactive defense strategies are more critical than ever. With Google Threat Intelligence, organizations can leverage cutting-edge technology to detect, analyze, and mitigate threats effectively, ensuring the security and resilience of their digital infrastructure in an increasingly complex threat landscape. Β Media Disclaimer: This report is based on internal and external research obtained through various means. The information provided is for reference purposes only, and users bear full responsibility for their reliance on it. The Cyber Express assumes no liability for the accuracy or consequences of using this information.

New Microsoft AI model may challenge GPT-4 and Google Gemini

6 May 2024 at 15:51
Mustafa Suleyman, co-founder and chief executive officer of Inflection AI UK Ltd., during a town hall on day two of the World Economic Forum (WEF) in Davos, Switzerland, on Wednesday, Jan. 17, 2024.

Enlarge / Mustafa Suleyman, co-founder and chief executive officer of Inflection AI UK Ltd., during a town hall on day two of the World Economic Forum (WEF) in Davos, Switzerland, on Wednesday, Jan. 17, 2024. Suleyman joined Microsoft in March. (credit: Getty Images)

Microsoft is working on a new large-scale AI language model called MAI-1, which could potentially rival state-of-the-art models from Google, Anthropic, and OpenAI, according to a report by The Information. This marks the first time Microsoft has developed an in-house AI model of this magnitude since investing over $10 billion in OpenAI for the rights to reuse the startup's AI models. OpenAI's GPT-4 powers not only ChatGPT but also Microsoft Copilot.

The development of MAI-1 is being led by Mustafa Suleyman, the former Google AI leader who recently served as CEO of the AI startup Inflection before Microsoft acquired the majority of the startup's staff and intellectual property for $650 million in March. Although MAI-1 may build on techniques brought over by former Inflection staff, it is reportedly an entirely new large language model (LLM), as confirmed by two Microsoft employees familiar with the project.

With approximately 500 billion parameters, MAI-1 will be significantly larger than Microsoft's previous open source models (such as Phi-3, which we covered last month), requiring more computing power and training data. This reportedly places MAI-1 in a similar league as OpenAI's GPT-4, which is rumored to have over 1 trillion parameters (in a mixture-of-experts configuration) and well above smaller models like Meta and Mistral's 70 billion parameter models.

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