Youtube is world’s largest video sharing platform and the 2nd most visited site after only Google.com. It has billions of users and millions of channels. With this proliferation of information sharing and particularly, video content, one quickly realizes that one cannot digest all the information one would like to consume.
Personally I keep adding and organizing YouTube videos in playlists to watch them later only to never have enough time to watch everything I add. There is a lot of valuable information one would like to know or learn, but there is only so much time, and the new information published daily on YouTube alone is overwhelming, even when we focus on specific fields or even just a narrow sub-field.
According to statista.com, by 2022 youtube videos were being added at a rate of around 30,000 hours of video per hour.
Besides, we also frequently waste our time watching a lengthy video to search for a specific, 5 seconds, piece of information, or to find that the video wasn’t really worth the time (aka click bait).
Now imagine if AI can watch a video for you and provide you with a brief summery!
Actually this is already there and is free! Just go to summerize.tech and enter the address of the YouTube video, done! You will be presented with a summery of the video in few seconds.
Lets take an example: A video by David Bombal’s youtube channel. titled: “The AI Cybersecurity future is here”.
The video length is almost exactly 30 minutes. summerize.tech gave me the summery instantly, apparantly it caches generated summaries to provide them instantly when requested again. Lets look at the generated summery then discuss it a bit:
00:00:00 – 00:25:00
In the YouTube video “The AI Cybersecurity future is here,” David Bumgarner from Cisco discusses the transformative role of Artificial Intelligence (AI) in cybersecurity. The cybersecurity industry faces a significant challenge as the majority of attacks originate from emails, causing an overwhelming amount of data for humans to process effectively. The consequences of these attacks can result in critical infrastructure breaches, such as those targeting hospitals and water supply systems. With a shortage of cybersecurity professionals, Bumgarner believes the use of AI will tip the scales in favor of defenders, enabling them to effectively correlate and reason with data. Furthermore, the industry is transitioning from fragmented solutions to integrated platforms to enhance data correlation and prediction capabilities. AI is utilized to detect anomalous behavior, correlate data, and respond effectively to potential threats, especially in securing critical infrastructure. Cisco’s solutions include natural language interfaces, rule duplication detection, and reducing human dependency on rule management to enable humans to focus on higher-order tasks. Despite concerns about AI replacing human jobs, the speakers appreciate the need for human judgment in the industry. Additionally, the importance of increasing diversity in the cybersecurity workforce to effectively protect the global population is emphasized, as the industry is currently homogeneous and intimidating for those without a security background. Continuous authentication and detecting anomalies post-authentication are also highlighted as crucial elements of the future of cybersecurity, relying on AI to create graduated responses against potential threats and enhance overall security effectiveness.See less
- 00:00:00 In this section of the YouTube video “The AI Cybersecurity future is here,” David Bumgarner from Cisco discusses how Artificial Intelligence (AI) will revolutionize the future of cybersecurity. Currently, cyberattacks originate mostly from emails and overload humans with too much data to effectively respond. The impact of attacks can lead to the breach of critical infrastructure such as hospitals and water supply systems, causing significant harm. With a shortage of cybersecurity skills, Bumgarner believes the scales might tip in favor of defenders due to their ability to effectively correlate and reason with data using AI. Additionally, the cybersecurity industry is moving from a fragmented model of niche solutions to integrated platforms to enable data correlation and prediction to prevent attacks instead of simply detecting and responding. Bumgarner highlights the importance of correlating data sets from emails, websites, endpoints, and networks to determine high-level alerts that can be acted upon.
- 00:05:00 In this section of the “The AI Cybersecurity future is here” YouTube video, the speaker discusses the use of AI in cybersecurity to increase efficiency, improve user experience, and contain costs. AI is implemented to detect anomalous behavior, correlate data, and apply gradated responses to prevent breaches. The challenge is the overabundance of data, making it difficult for humans to derive meaning from it. This is where AI comes in to provide a massive step function improvement. The discussion touches upon Cisco’s solution, focusing on natural language interfaces, rule duplication detection, and reducing the dependency on human expertise for rule management. The aim is not to eliminate jobs but to enable humans to focus on higher-order tasks while machines handle the lower-level and repetitive work.
- 00:10:00 In this section of the YouTube video titled “The AI Cybersecurity future is here,” the speaker discusses the critical shortage of cybersecurity professionals and the need to automate tasks to allow humans to focus on more complex issues. He emphasizes the importance of securing critical infrastructure, such as hospitals and water supplies, against cyberattacks. The speaker also highlights the role of AI in managing and analyzing security data, mentioning Cisco’s AI assistant and their plans to add AI capabilities to products like firewalls, secure access, and email threat defense. They are also in the process of acquiring Splunk to help scale their data processing capabilities. The use of AI in cybersecurity is crucial to make sense of large amounts of data and protect against cyber threats. The speaker also assured the audience that data used for training AI models would be kept private and with explicit consent.
- 00:15:00 In this section, the speakers discuss the differences between AI models used for data retrieval, such as chatbots like ChatGPT, and AI used for security, specifically in configuring firewall policies. While chatbots use a large and unconstrained set of data for training and allow for creative responses, security AI requires precision and relies on specific custom training sets to prevent hallucinations and ensure accurate policy implementation. The speakers also clarify that AI in security goes beyond just being an assistant, as tools like Eve use AI to detect anomalous behavior and improve efficacy in dealing with encrypted traffic. They emphasize that AI and machine learning will continue to play a significant role in all of their products and express the need for hiring more AI researchers and developers to drive innovation. Despite concerns about AI taking jobs, the speakers believe that human judgment will remain important in the industry.
- 00:20:00 In this section of the video titled “The AI Cybersecurity future is here,” the speaker discusses the importance of increasing diversity in the cybersecurity industry to effectively serve the global population of 8 billion people. He mentions that the industry is currently homogeneous, largely male-dominated, and intimidating to those without a background in security. The speaker emphasizes the need for a diverse workforce, including women, individuals with liberal arts backgrounds, and those from the consumer tech industry. He also shares his vision for Cisco to become a leading company in designing user-friendly enterprise products, as seen in the consumer tech industry, and the importance of understanding the limitations of AI technology and human dynamics in building effective products. The speaker also touches on the challenge of identity as a major attack vector and the need for a thin analytics layer to correlate data across various identity providers.
- 00:25:00 In this section of the YouTube video “The AI Cybersecurity future is here,” the speaker discusses the importance of continuous authentication and detecting anomalies post-authentication to enhance cybersecurity. He emphasizes the use of AI to create a graduated set of responses against potential threats, detect unusual device usage, and quarantine suspicious activity. The future of security, according to the speaker, is powered by AI, and having an effective platform for security without it is not an option.
Discussion
As seen above, there is an overall summery followed by partial summeries divided by time intervals. After watching the video and reading the summery I came to these findings:
- There is good level of correlation The summery did match the video content, communicating the same ideas with enough details for wholistic understanding. It also provides quick access to attributes of the video that are not present in the title or caption; for instance, the Summery begins with leting you know its an interview with a brand agent, CISCO.
- AI hallucinations are still here For instance, for the 0:00 to 0:05 minutes interval, the summery apparantly included one hallucination which I marked above; shortage of cybersecurity skills isn’t related to the next statement.
- The summery serves well in deciding to watch or not. Watching the video was actually interesting and isn’t regrettable, but it is subjective if one really needs to see it having read the summery. Nevertheless, the time saving advantage is obvious. The biggest advantage may come when the summery shows that the video isn’t that valuable, or does not include the information sought after.
- Providing sub-summeries for time intervals is very useful This makes the summery easier to read than a whole long paragraph. It also helps in deciding to watch parts of the video and skip other parts, hence, time saving again.
Conclusion
AI continues to prove its changing many aspects of our life to new standards. YouTube summeries through summerize.tech or other providers shows another example of these aspects, that is, our approach to knowledge. It is going to be more efficient and this is only the beginning. I already also seen this advance to passing the summery to another AI iteration to evaluate the quality of the information and further summerise them into bullet points. a different or subsequent agent may generate an article or a statistic. Things that we used to spent hours, days, or even weeks to do will soon be done in few clicks.
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