#AI Technology Research

[desklibai]

Desklib: Transforming Academic Research with AI-Powered Tools

In the dynamic landscape of academic research, the quest for efficiency and innovation is constant. Researchers are always seeking ways to enhance their productivity and the quality of their work. This is where Desklib emerges as a transformative solution, offering a suite of AI-powered writing tools specifically tailored for researchers. By integrating advanced AI technology, Desklib not only streamlines the research process but also enhances its efficiency and effectiveness.

The Evolution of AI in Academic Research

Artificial intelligence (AI) has made significant strides in recent years, permeating various industries and revolutionizing the way we approach complex problems. In the realm of academic research, AI for academic research has emerged as a crucial tool, offering unparalleled efficiency and accuracy. AI tools for researchers enable scholars to handle vast amounts of data, identify patterns, and generate insights that were previously unattainable. By leveraging AI technology research, researchers can explore new frontiers and make groundbreaking discoveries.

Desklib: Your AI Researcher Tool for Success

Desklib stands at the forefront of this technological revolution, offering a comprehensive suite of AI-powered writing tools designed specifically for researchers. This innovative platform combines the power of AI with the precision and creativity required in academic writing. Whether you are a student working on a thesis or a seasoned researcher aiming to publish your latest findings, Desklib provides the support you need to produce high-quality, well-structured, and insightful content.

Key Features of Desklib

AI-Powered Writing Assistance: Desklib's advanced AI algorithms offer real-time suggestions for improving grammar, style, and coherence. This feature is particularly beneficial for researchers who may struggle with language barriers or who need to refine their writing skills. By providing instant feedback, Desklib helps researchers produce polished and professional manuscripts.

Research Assistance: Desklib goes beyond writing assistance by offering AI researcher tools that aid in the early stages of research. It can help identify relevant sources, summarize key findings, and suggest potential research gaps. This comprehensive approach ensures that researchers start their projects on a solid foundation.

Data Analysis and Visualization: One of the most powerful aspects of Desklib is its ability to handle complex data. Using advanced AI algorithms, Desklib can analyze large datasets, identify trends, and present findings in visually appealing formats. This feature is invaluable for researchers dealing with quantitative data, as it simplifies the process of data interpretation and presentation.

Collaboration and Sharing: Desklib facilitates collaboration among researchers by allowing multiple users to work on the same document simultaneously. This feature is particularly useful for research teams spread across different locations. It also supports easy sharing of documents, making it simple to collaborate with colleagues and peers.

Enhancing the Research Process with Desklib

Efficient Literature Review

Conducting a thorough literature review is one of the most time-consuming aspects of academic research. Desklib's AI tools for researchers can significantly streamline this process. By leveraging AI technology research, Desklib can quickly scan through vast amounts of literature, identify relevant studies, and summarize key findings. This not only saves time but also ensures that your literature review is comprehensive and up-to-date.

Improved Writing Quality

Writing a research paper requires not only a deep understanding of the subject matter but also excellent writing skills. Desklib's AI-powered writing tool provides real-time feedback and suggestions, helping researchers improve the clarity, coherence, and readability of their manuscripts. This ensures that their research is not only well-researched but also well-presented.

Enhanced Data Analysis

Data analysis is a critical component of any research project. Desklib's advanced AI algorithms can handle complex datasets, identify trends, and generate meaningful insights. Whether dealing with qualitative or quantitative data, Desklib provides the tools needed to analyze data effectively and present findings in a clear and compelling manner.

Seamless Collaboration

Research is often a collaborative effort, and Desklib makes it easy to work with others. Its collaborative features allow multiple users to work on the same document simultaneously, making it simple to share ideas, provide feedback, and make revisions. This ensures that research projects stay on track and that all team members are aligned.

The Future of Academic Research with Desklib

As AI continues to advance, its potential in academic research is limitless. Desklib is at the forefront of this revolution, providing researchers with the tools they need to conduct their work more efficiently and effectively. By leveraging AI technology research, Desklib not only enhances the research process but also opens up new avenues for exploration and discovery.

Embracing AI in Research

The integration of AI in academic research is not just a trend; it is a necessity. As researchers face increasing demands to produce high-quality research in shorter timeframes, AI tools for researchers become invaluable. Desklib offers a comprehensive solution that addresses the needs of modern researchers, from writing assistance to data analysis and collaboration.

Connecting with the Research Community

Desklib is more than just a tool; it is a platform that connects researchers with a global community. By using Desklib, researchers become part of a network of scholars who are leveraging AI technology to advance their research. This community provides a valuable support system, offering opportunities for collaboration, feedback, and learning.

Conclusion

In conclusion, Desklib is a groundbreaking AI-powered writing tool that offers a comprehensive suite of features designed specifically for researchers. By leveraging the power of AI, Desklib enhances the research process, making it more efficient, effective, and enjoyable. Whether you are a student embarking on your first research project or a seasoned researcher looking to streamline your workflow, Desklib is the tool you need to succeed in the world of academic research.

As we look to the future, the role of AI in academic research will only continue to grow. Desklib is at the forefront of this revolution, providing researchers with the tools they need to conduct their work more efficiently and effectively. By embracing AI technology research, we can unlock new possibilities and make groundbreaking discoveries that will shape the future of our world.

So, why wait? Join the Desklib community today and experience the power of AI in academic research. Transform your research process and take your work to new heights with Desklib, the ultimate AI researcher tool.

[reality-detective]

The new "Hydra" a.i. can take your picture and turn it into a mini movie... So what's real? 🤔

[osteochondraldefect]

Sweet reward for obeying commands

[jynjackets]

[ai-fandom-researchstudy]

Research Study: Fandom & Generative AI still looking for participants!

I'm still recruiting research participants for my PhD dissertation study!!! If you've already participated, thanks so much! If you haven't participated yet, please consider responding to a quick survey, and sharing with your friends!

I'm interested in understanding fans' perspectives on and experiences with generative AI (text and image generation software). That means perceptions both positive and negative! However you feel about genAI, I'm interested in hearing from you. We're especially seeking diverse perspectives from underrepresented demographic groups of people.

If you're over 18, can speak/understand English, and are interested in participating you can learn more information and take the survey here. I've also made a FAQ post about the study that I've pinned to the top of the blog, and you can see more info on the shareable flyer below. You can also view posts on Twitter/X, Bluesky, and Reddit about the study and share info there! Spreading the word is greatly appreciated :)

The study is anonymous and voluntary, and you'll be asked about your fandom background, attitudes towards generative AI, and demographic information. The survey should take about 15-20 minutes, and you can skip over any questions you want. You can also elect to participate in a follow up interview, if you want to. The full details are on the consent form, which you'll be able to read before taking the survey! Feel free to reach out with any questions.

[farmerstrend]

What Makes a Great Agronomist? Unpacking the Traits of Agricultural Excellence

Agronomists are the unsung heroes shaping the future of farming. They’re the bridge between science and soil, the architects of abundance in a world hungry for both food and sustainability. Over the years, after sifting through hundreds of agronomist resumes and meeting countless professionals in this field, I’ve come to realize that greatness in agronomy isn’t just about a degree or a title.…

[coffinbutch]

Using generative ai to "make" "art" is very stupid for lots and lots of reasons but the absolute truth of why I will never touch it or even think of using it to assist in the creation of anything including boring emails is that I am way too much of a control freak to ever let a computer do anything for me

[frank-olivier]

Semiconductors: The Driving Force Behind Technological Advancements

The semiconductor industry is a crucial part of our modern society, powering everything from smartphones to supercomputers. The industry is a complex web of global interests, with multiple players vying for dominance.

Taiwan has long been the dominant player in the semiconductor industry, with Taiwan Semiconductor Manufacturing Company (TSMC) accounting for 54% of the market in 2020. TSMC's dominance is due in part to the company's expertise in semiconductor manufacturing, as well as its strategic location in Taiwan. Taiwan's proximity to China and its well-developed infrastructure make it an ideal location for semiconductor manufacturing.

However, Taiwan's dominance also brings challenges. The company faces strong competition from other semiconductor manufacturers, including those from China and South Korea. In addition, Taiwan's semiconductor industry is heavily dependent on imports, which can make it vulnerable to supply chain disruptions.

China is rapidly expanding its presence in the semiconductor industry, with the government investing heavily in research and development (R&D) and manufacturing. China's semiconductor industry is led by companies such as SMIC and Tsinghua Unigroup, which are rapidly expanding their capacity. However, China's industry still lags behind Taiwan's in terms of expertise and capacity.

South Korea is another major player in the semiconductor industry, with companies like Samsung and SK Hynix owning a significant market share. South Korea's semiconductor industry is known for its expertise in memory chips such as DRAM and NAND flash. However, the industry is heavily dependent on imports, which can make it vulnerable to supply chain disruptions.

The semiconductor industry is experiencing significant trends, including the growth of the Internet of Things (IoT), the rise of artificial intelligence (AI), and the increasing demand for 5G technology. These trends are driving semiconductor demand, which is expected to continue to grow in the coming years.

However, the industry also faces major challenges, including a shortage of skilled workers, the increasing complexity of semiconductor manufacturing and the need for more sustainable and environmentally friendly manufacturing processes.

To overcome the challenges facing the industry, it is essential to invest in research and development, increase the availability of skilled workers and develop more sustainable and environmentally friendly manufacturing processes. By working together, governments, companies and individuals can ensure that the semiconductor industry remains competitive and sustainable, and continues to drive innovation and economic growth in the years to come.

Chip War, the Race for Semiconductor Supremacy (2023) (TaiwanPlus Docs, October 2024)

Dr. Keyu Jin, a tenured professor of economics at the London School of Economics and Political Science, argues that many in the West misunderstand China’s economic and political models. She maintains that China became the most successful economic story of our time by shifting from primarily state-owned enterprises to an economy more focused on entrepreneurship and participation in the global economy.

Dr. Keyu Jin: Understanding a Global Superpower - Another Look at the Chinese Economy (Wheeler Institute for Economy, October 2024)

Dr. Keyu Jin: China's Economic Prospects and Global Impact (Global Institute For Tomorrow, July 2024)

The following conversation highlights the complexity and nuance of Xi Jinping's ideology and its relationship to traditional Chinese thought, and emphasizes the importance of understanding the internal dynamics of the Chinese Communist Party and the ongoing debates within the Chinese system.

Dr. Kevin Rudd: On Xi Jinping - How Xi's Marxist Nationalism Is Shaping China and the World (Asia Society, October 2024)

Tuesday, October 29, 2024

[insert-game]

i hate gen AI so much i wish crab raves upon it

[desklibai]

Desklib: Your AI-Powered Writing Tool for Academic Excellence

In the fast-paced world of academic research, efficiency and innovation are key. Researchers are always on the lookout for tools that can enhance their productivity and the quality of their work. This is where Desklib comes in, offering a suite of AI-powered writing tools specifically tailored for researchers. By integrating advanced AI technology, Desklib transforms the research process, making it more streamlined, efficient, and effective.

The Impact of AI on Academic Research

Artificial intelligence (AI) has revolutionized numerous fields, and academic research is no exception. AI for academic research has become an essential tool, enabling researchers to handle vast amounts of data, identify patterns, and generate insights with unprecedented speed and accuracy. AI tools for researchers not only expedite the research process but also enhance the depth and quality of analysis. By leveraging AI technology research, scholars can explore new frontiers and make groundbreaking discoveries.

Desklib: Your AI Researcher Tool for Success

Desklib stands out as a pioneering platform in the realm of AI for researchers. It offers a comprehensive suite of AI-powered writing tools designed to support researchers at every stage of their work. From initial brainstorming to final publication, Desklib provides the tools and support needed to produce high-quality, well-structured, and insightful research papers.

Key Features of Desklib

AI-Powered Writing Assistance: Desklib's advanced AI algorithms offer real-time suggestions for improving grammar, style, and coherence. This feature is particularly beneficial for researchers who may struggle with language barriers or who need to refine their writing skills. By providing instant feedback, Desklib helps researchers produce polished and professional manuscripts.

Research Assistance: Desklib goes beyond writing assistance by offering AI researcher tools that aid in the early stages of research. It can help identify relevant sources, summarize key findings, and suggest potential research gaps. This comprehensive approach ensures that researchers start their projects on a solid foundation.

Data Analysis and Visualization: One of the most powerful aspects of Desklib is its ability to handle complex data. Using advanced AI algorithms, Desklib can analyze large datasets, identify trends, and present findings in visually appealing formats. This feature is invaluable for researchers dealing with quantitative data, as it simplifies the process of data interpretation and presentation.

Collaboration and Sharing: Desklib facilitates collaboration among researchers by allowing multiple users to work on the same document simultaneously. This feature is particularly useful for research teams spread across different locations. It also supports easy sharing of documents, making it simple to collaborate with colleagues and peers.

Enhancing the Research Process with Desklib

Efficient Literature Review

Conducting a thorough literature review is one of the most time-consuming aspects of academic research. Desklib's AI tools for researchers can significantly streamline this process. By leveraging AI technology research, Desklib can quickly scan through vast amounts of literature, identify relevant studies, and summarize key findings. This not only saves time but also ensures that your literature review is comprehensive and up-to-date.

Improved Writing Quality

Writing a research paper requires not only a deep understanding of the subject matter but also excellent writing skills. Desklib's AI-powered writing tool provides real-time feedback and suggestions, helping researchers improve the clarity, coherence, and readability of their manuscripts. This ensures that their research is not only well-researched but also well-presented.

Enhanced Data Analysis

Data analysis is a critical component of any research project. Desklib's advanced AI algorithms can handle complex datasets, identify trends, and generate meaningful insights. Whether dealing with qualitative or quantitative data, Desklib provides the tools needed to analyze data effectively and present findings in a clear and compelling manner.

Seamless Collaboration

Research is often a collaborative effort, and Desklib makes it easy to work with others. Its collaborative features allow multiple users to work on the same document simultaneously, making it simple to share ideas, provide feedback, and make revisions. This ensures that research projects stay on track and that all team members are aligned.

The Future of Academic Research with Desklib

As AI continues to advance, its potential in academic research is limitless. Desklib is at the forefront of this revolution, providing researchers with the tools they need to conduct their work more efficiently and effectively. By leveraging AI technology research, Desklib not only enhances the research process but also opens up new avenues for exploration and discovery.

Embracing AI in Research

The integration of AI in academic research is not just a trend; it is a necessity. As researchers face increasing demands to produce high-quality research in shorter timeframes, AI tools for researchers become invaluable. Desklib offers a comprehensive solution that addresses the needs of modern researchers, from writing assistance to data analysis and collaboration.

Connecting with the Research Community

Desklib is more than just a tool; it is a platform that connects researchers with a global community. By using Desklib, researchers become part of a network of scholars who are leveraging AI technology to advance their research. This community provides a valuable support system, offering opportunities for collaboration, feedback, and learning.

Conclusion

In conclusion, Desklib is a groundbreaking AI-powered writing tool that offers a comprehensive suite of features designed specifically for researchers. By leveraging the power of AI, Desklib enhances the research process, making it more efficient, effective, and enjoyable. Whether you are a student embarking on your first research project or a seasoned researcher looking to streamline your workflow, Desklib is the tool you need to succeed in the world of academic research.

As we look to the future, the role of AI in academic research will only continue to grow. Desklib is at the forefront of this revolution, providing researchers with the tools they need to conduct their work more efficiently and effectively. By embracing AI technology research, we can unlock new possibilities and make groundbreaking discoveries that will shape the future of our world.

So, why wait? Join the Desklib community today and experience the power of AI in academic research. Transform your research process and take your work to new heights with Desklib, the ultimate AI researcher tool.

[affairsmastery]

Apple is making a bold move in U.S. manufacturing, announcing a 250,000-square-foot AI server factory in Texas by 2026. This initiative, in partnership with Foxconn, will power Apple Intelligence, its advanced AI suite. Alongside this, Apple is adding 20,000 R&D jobs nationwide and doubling its Advanced Manufacturing Fund to $10 billion to support domestic chip production.

With $500 billion planned U.S. investments over four years, Apple is strengthening its local supply chain, including key partnerships with TSMC, Broadcom, and Corning. A new Michigan Manufacturing Academy will further train small and mid-sized firms, reinforcing Apple’s commitment to U.S. innovation.

[learnwithmearticles]

Technology's Use of Water

While water is renewable, it is finite. Its renewability depends on us using and managing our water resources responsibly.

Previous articles on this page have discussed hydropower and how it produces less waste and costs less than other resources. We have also briefly discussed how other energy sources consume water as a coolant or receptacle for waste. Entire university courses are dedicated to human uses of water.

Water Scarcity

Only 3% of water on Earth is freshwater. Of course, we need this to drink, but we need it for many more services beyond that.

Many plumbing fixtures are made of copper, which saltwater severely corrodes, same as lead and, over a longer time, PVC. Toilets on average use 1-5 gallons of water per flush. If we want to preserve freshwater by switching to saltwater plumbing, we would have to rethink and re-pipe entire plumbing systems.

We lose safe water in rain, as well. Supported by a study in Environmental Science and Technology, the Center for Disease Control and Prevention in 2022 stated that rainwater is not safe to drink. Chemicals known as per-/poly-fluoroalkyl substances break down extremely slowly, and have leached from many products like cleaners, fabrics, and shampoo into the water cycle. Removing PFAS from water requires filters of activated carbon or reverse osmosis membranes, which also require frequent maintenance.

A lot of water is also not available to us because it is in ice caps and glaciers, which are estimated to be about 68% of Earth’s freshwater. This water is also being lost, because as glaciers melt at increasing rates, that freshwater becomes saltwater in the ocean.

These limitations mean that water is not necessarily renewable yet, especially because treating water produces its own waste and pollution. We have to be responsible with the small percentage of water we have access to.

Irresponsible Use

There are a ridiculous amount of ways in which we waste water. Leaks, watering lawns, and leaving taps running are some of the big household wastes of water. While individual accountability and changes can still make a big difference, I want to focus on bigger impacts.

One example is in nuclear power production. Nuclear power plants use water to cool down used fuel when it is done being used in the reactor. This results in radioactive and thermal water pollution.

Agriculture is another common cause of water pollution. Excess water from rain or artificial watering runs off of agricultural fields and flows towards streams and bodies of water. This runoff often includes amounts of fertilizers and pesticides ranging from minimal to extremely harmful. This leads to improper levels of oxygen, nitrogen, and hydrogen within the water. Like water contaminated by pharmaceuticals, this is not safe to drink, and something not safe for skin contact.

Technology is also a major factor of water demands. Artificial Intelligence and cryptocurrency are heavy water consumers.

AI is beneficial within waste management, as it is able to quickly analyze information and identify issues, potential problems, and potential areas of improvement. Unfortunately, AI training requires a large amount of water. One study states that training GPT-3 alone can evaporate 700,000 liters of freshwater. In 2027, AI is predicted to consume 4.2 to 6.6 billion cubic meters of water. In comparison, Denmark nationally consumes around one billion cubic meters in a year.

Cryptocurrency is even worse. It goes through a process called mining in which transactions are verified and new ‘coins’ are generated into the system. This process is extremely water-demanding. For example, in 2021, mining of Bitcoin consumed more than 1,600 gigaliters of global water. On average, each cryptocurrency transaction consumes 16,000 liters of water in cooling down the computer equipment and the power plants that provide the electricity.

Saltwater as an alternative in these situations does exist; however, this process has the disadvantages of one-time use, large water intake, sewage discharge, and ocean pollution. Technology has begun to improve on this method with seawater circulation cooling technology, which reduces sewage discharge and water intake, but remains an imperfect solution.

Technology has the potential to drastically improve environmental management and restoration, but still has a long way to go before we offset the huge impacts we have made. Freshwater is taken for granted by many people, and the systems that disproportionately consume the most of it are not held accountable. This cycle must stop if we want to make water a truly renewable resource.

Additional Resources

1. Water Renewability

2. Corrosion on Plumbing

3. Treating PFAS

4. Household Water Waste

5. Nuclear Water Waste

6. AI Helping Water Management

7. AI Water Consumption

8. Crypto Mining Water Consumption

9. Seawater cooling technology

[jcmarchi]

DeepSeek's AI breakthrough: Fewer resources, big impact

New Post has been published on https://thedigitalinsider.com/deepseeks-ai-breakthrough-fewer-resources-big-impact/

DeepSeek's AI breakthrough: Fewer resources, big impact

On December 26th, a modest-sized Chinese company named DeepSeek introduced advanced AI technology, rivaling the top chatbot systems from giants like OpenAI and Google.

This achievement was noteworthy for its capability and the cost-efficiency with which it was developed. Unlike its large competitors, DeepSeek created its artificial intelligence, DeepSeek-V3, using significantly fewer specialized processors, which are typically essential for such advancements.

Cost efficiency and technological breakthrough

These processors are at the heart of a fierce tech rivalry between the U.S. and China. The U.S. aims to keep its lead in AI by restricting the export of high-end chips, such as those from Nvidia, to China.

However, DeepSeek’s success with fewer resources raises concerns about the effectiveness of U.S. trade policies, which have inadvertently spurred Chinese innovation using more accessible technologies.

DeepSeek-V3 impressively handles tasks like answering queries, solving puzzles, programming, and matching industry standards. Remarkably, it was developed with just around $6 million worth of computing resources, starkly contrasting the $100 million Meta reportedly invested in similar technologies.

Chris V. Nicholson from Page One Ventures pointed out that more companies could afford $6 million than the heftier sums, democratizing access to advanced AI technology.

Strategic implications and global impact of DeepSeek

Previously, experts believed only firms with substantial financial resources could compete with leading AI firms, which train their systems on supercomputers requiring thousands of chips.

DeepSeek, however, managed with just 2,000 chips from Nvidia. This efficient use of limited resources reflects the forced innovation resulting from chip restrictions in China, as Jeffrey Ding from George Washington University noted.

Recently, the U.S. tightened these restrictions to prevent China from acquiring advanced AI chips via third countries. This is part of ongoing efforts to limit Chinese firms’ potential military use of these technologies, which have resorted to stockpiling chips and sourcing them through underground markets.

ChatGPT vs Bard: What are the top key differences?

We’re taking a look at Bard vs ChatGPT and their key differences like technology, internet connection, and training data.

DeepSeek, a company rooted in quantitative stock trading, has been leveraging its profits to invest in Nvidia chips since 2021, fueling its AI research rather than consumer products. This focus has allowed it to bypass stringent Chinese regulations on consumer AI, attracting top talent and exploring diverse applications from poetry to complex examinations.

While leading U.S. firms continue to push AI boundaries, DeepSeek’s recent achievements underline its growing prowess in the field. It also highlights the broader shift towards open-source AI, gaining traction as companies like Meta openly share their technologies. This shift increasingly positions China as a central player in AI development, posing a strategic challenge to U.S. dominance in the field.

As the debate continues over the potential risks of open sourcing AI in the U.S., such as spreading misinformation, the global open source community, increasingly led by China, might shape the future of AI development, suggesting a significant geopolitical shift in the technology landscape.

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[ai-fandom-researchstudy]

Looking for research participants for a study on fandom attitudes towards generative AI!

Hello Tumblr! My name is Irissa Cisternino, and I'm a PhD candidate recruiting research participants for my doctoral dissertation study on fandom & generative AI!

I'm interested in understanding fans' perspectives on and experiences with generative AI (text and image generation software). That means perceptions both positive and negative! However you feel about genAI, I'm interested in hearing from you.

[EDIT 2/13/24: fixed one small error; if you filled out the survey in the last hour and responded "yes" to being contacted for an interview but there was no option to put your email in, please email the research team directly if you'd like to schedule an interview! This has been corrected now.]

If you're over 18, can speak/understand English, and are interested in participating you can learn more information and take the survey here. I've also made a FAQ post about the study that I've pinned to the top of the blog, and you can see more info on the shareable flyer below:

Feel free to reach out via dm or email (email address is on the flyer!) with any questions! The study is anonymous and voluntary, and you'll be asked about your fandom background, attitudes towards generative AI, and demographic information. The survey should take about 15-20 minutes, and you can skip over any questions you want. You can also elect to participate in a follow up interview, if you want to. The full details are on the consent form, which you'll be able to read before taking the survey!

Feel free to share this with anyone in your networks (fandom or personal) that you think would be interested in participating! Reblog, spread to other platforms, discord servers, etc. This is also posted to Twitter/X here, and I'm working on sharing it elsewhere. Thanks for your help!

[herotome]

If Griffin wants to talk about a national housing crisis then I'm all ears!

Whatever they want to talk about/ramble about I'm in. It could be a dlc option. All the random off topic they wanted you to write for them but didn't fit in game 🤣

Why do I have to write it though!!! 😭😭😭😭😭

[greyedian]

oh my god I was thinking about a jayvik fallout new vegas AU and was like "hm maybe Viktor uploads himself into one of those robots until he can get a different body by like repurposing power armor or something idk" and then I remembered that this guy's name actually is Victor