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Reimagining the American War Machine

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The Importance of Adaptation in the 21st Century Military

A Lesson from Ukraine: The Power of Agility in Innovation

That lightning-quick innovation is possible for two reasons: First, Ukraine has a large and diverse domestic drone industry of over 200 companies — along with hundreds of smaller firms and volunteers — that turn out hundreds of thousands of small, cheap drones a month. Second, Ukraine’s military prizes agility over certainty in adopting and adapting new technologies, including faster approvals, rapid prototyping and testing, and direct collaboration between engineers and soldiers on the front lines.

A Warning to the United States: Adapt or Be Left Behind

This war is both a lesson and a warning to the United States: Adapt now or be left behind. In 2016, the Marine Corps commandant, Gen. Robert Neller, announced a “quads for squads” program, promising to equip every Marine squad with its own quadcopter drones by the “end of next year.” Eight years later, the Marines are still trying to make that happen. So, what’s the problem? The U.S. drone industry lags China’s, manufacturing only 5,000 to 6,000 small drones per month, compared to China’s more than one hundred thousand per month, according to some analysts, and they are no match for China’s in capability or cost.

Diversifying Risk and Promoting Innovation

To stay ahead, the new administration must place new bets. It needs to diversify risk. This means developing a wide array of systems, made by many companies in smaller numbers, rather than putting all its resources into a few big-ticket platforms from a few major players. When such systems prove their worth, they can be rapidly scaled up and upgraded. Systems failing to make the grade — and the companies behind them — get left behind.

The Diffusion of Technology and the Importance of Collaboration

The diffusion of technology means U.S. military superiority must come not just from the weapons it has, but from how it uses them. This calls for close collaboration among operators, engineers, and industry figures. Innovation thrives when ideas are tested and refined in the field, not just in labs.

Bringing the Military into the 21st Century

The Pentagon’s current approach is rooted in a mind-set that worked for 20th-century industrial-era wars, including the Cold War. The Trump administration’s task is to bring the military into the 21st century. The future of warfare and deterrence requires diversity, flexibility, and speed. The sooner the United States adapts, the better prepared it will be for the conflicts to come.

Conclusion

In conclusion, the article highlights the importance of innovation and adaptation in the 21st century military. The example of Ukraine’s drone industry and its ability to quickly develop and deploy new technologies serves as a lesson to the United States. The US military must adopt a more agile approach, including diversifying risk, promoting collaboration, and embracing innovation. The future of warfare and deterrence requires the US to adapt and stay ahead of emerging threats.

FAQs

Q: What is the US drone industry’s output compared to China’s?
A: The US drone industry manufactures 5,000 to 6,000 small drones per month, compared to China’s more than 100,000 per month.

Q: Why is the US drone industry lagging behind China’s?
A: The US drone industry is limited by its focus on a few big-ticket platforms from a few major players, whereas China’s industry is more diverse, with many companies producing small drones in smaller numbers.

Q: What is the key to Ukraine’s success in drone development?
A: Ukraine’s military prizes agility over certainty in adopting and adapting new technologies, including faster approvals, rapid prototyping and testing, and direct collaboration between engineers and soldiers on the front lines.

Q: What is the Trump administration’s task regarding the military?
A: The Trump administration’s task is to bring the military into the 21st century, requiring diversity, flexibility, and speed in the face of emerging threats.

Gooey.AI Makes AI More Accessible

When non-technical users can create and deploy reliable AI workflows, organizations can do more to serve their clientele.

Platforms for developing no- and low-code solutions are bridging the gap between powerful AI models and everyone who’d like to harness them.

Gooey.AI, a member of the NVIDIA Inception program for cutting-edge startups, offers one such platform, enabling teams to tap into multiple AI tools to improve productivity for frontline workers across the globe. Cofounders Sean Blagsvedt and Archana Prasad join the NVIDIA AI Podcast to discuss how the startup’s platform is making AI development accessible to developers and non-coders alike.

Evolution of Gooey.AI

The founders detail Gooey.AI’s evolution from a British Council-funded arts project to a comprehensive, open-source, cloud-hosted platform serving over 1 million users in diverse industries like agriculture, healthcare, and frontline services. The company’s vision centers on democratizing AI development through shareable AI recipes, as well as helping ensure responsible implementation and representation of historically underserved communities in AI model-building.

Unique Applications

Prasad and Blagsvedt discuss unique applications, such as multilingual chatbots that support African farmers via messaging apps and AI assistants that help heating, ventilation, and air conditioning technicians access technical documentation.

Interview with Cofounders

Given the rapid adoption of low-code AI platforms, is helping organizations of all sizes and charters overcome technical barriers while improving access to expertise, Blagsvedt noted, “You can’t [create] good technology that changes the world just by focusing on the technology — you have to find the problem worth solving.”

Conclusion

Platforms like Gooey.AI are making AI development accessible to developers and non-coders alike, enabling organizations to create and deploy reliable AI workflows that can serve their clientele.

FAQs

Q: What is Gooey.AI?
A: Gooey.AI is a low-code AI development platform that enables teams to tap into multiple AI tools to improve productivity for frontline workers across the globe.

Q: How did Gooey.AI evolve?
A: Gooey.AI evolved from a British Council-funded arts project to a comprehensive, open-source, cloud-hosted platform serving over 1 million users in diverse industries.

Q: What are some unique applications of Gooey.AI?
A: Gooey.AI has unique applications such as multilingual chatbots that support African farmers via messaging apps and AI assistants that help heating, ventilation, and air conditioning technicians access technical documentation.

Q: What is the vision of Gooey.AI?
A: The vision of Gooey.AI is to democratize AI development through shareable AI recipes, as well as helping ensure responsible implementation and representation of historically underserved communities in AI model-building.

Real-time Emergency Wait List Portal

Open Hospitals in Queensland

Tracking Wait Times and Patient Flow

The Queensland government has launched an online portal for tracking wait times and patients in line for treatments at emergency departments in near real-time. The Open Hospitals portal provides visibility to the performance of 25 major EDs and seven satellite hospitals in the state, updated every 15-30 minutes.

Minister’s Comment

"Queenslanders now have the critical information they need to make informed decisions about their healthcare options," commented Minister for Ambulance and Health Services Tim Nicholls.

Rural GPs’ Perspective

The portal also supports rural GPs in referring patients to hospital EDs, added Dr Danielle Allan, president of the Rural Doctors Association of Queensland.


Victoria Launches Virtual Women’s Health Clinic

Filling Gaps in Women’s Health Care

The Government of Victoria announced that it is setting up a free virtual women’s health clinic to plug gaps in accessing care for women in regional and remote communities. The clinic will provide various telehealth or online services, including endometriosis and pelvic pain care, menstrual health, cervical screening, menopause care, breast health care, and abortion.

Virtual Clinic Details

The virtual clinic will be led by specialist nurses and run in partnership with community health organisation EACH. It is slated for launch in the middle of the year and is part of projects under the state government’s A$153 million ($96 million) women’s health package.

Western Australia Awards $3M for Digital Health Projects

Funding for Digital Health Research

Nearly A$5 million (around $3 million) in government funding was recently awarded to various digital health research projects in Western Australia. Eight of the 14 projects were led by researchers from the University of Western Australia (UWA), cornering around A$3 million ($1.8 million) in funding.

Research Projects

The grants are under the Future Health Research and Innovation Fund, which has distributed A$215 million to more than 600 recipients since 2020.

Conclusion

These initiatives showcase the efforts of governments in Queensland, Victoria, and Western Australia to improve healthcare services and fill gaps in access to care. The Open Hospitals portal provides transparency on wait times and patient flow, while the virtual women’s health clinic addresses gaps in women’s health care. The digital health research projects in Western Australia aim to develop innovative solutions for various health challenges.

FAQs

Q: What is the Open Hospitals portal?
A: The Open Hospitals portal is an online platform that provides real-time information on wait times and patient flow for emergency departments in Queensland.

Q: What services will the virtual women’s health clinic offer?
A: The virtual women’s health clinic will offer various telehealth or online services, including endometriosis and pelvic pain care, menstrual health, cervical screening, menopause care, breast health care, and abortion.

Q: How much funding was awarded to digital health research projects in Western Australia?
A: Nearly A$5 million (around $3 million) in government funding was awarded to various digital health research projects in Western Australia.

Elon Musk’s DOGE Working on a Custom Chatbot Called GSAi

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Cost-Cutting Initiatives and AI Deployment in the US Government

AI Initiatives in the US Government

For the past few weeks, Elon Musk’s team has been working to swiftly cut costs across the US government, which has seen its annual deficit increase for the last three years. The Office of Personnel Management, which acts as the HR department for the government and is stacked with Musk loyalists, has encouraged federal employees to resign if they cannot return to the office five days a week and commit to a culture of loyalty and excellence.

AI Deployment in the Department of Education

DOGE’s AI initiatives dovetail with the group’s efforts to reduce the federal budget and speed up existing processes. For instance, DOGE members at the Department of Education are reportedly using AI tools to analyze spending and programs, The Washington Post reported on Thursday. A department spokesperson says that the focus is on finding cost efficiencies.

GSAi Chatbot Project

The General Services Administration’s GSAi chatbot project could bring similar benefits, enabling workers, for example, to draft memos faster. The agency had hoped to use existing software such as Google Gemini, but ultimately determined that it wouldn’t provide the level of data DOGE desired, according to one of the people familiar with the project. Google spokesperson Jose Castañeda declined to comment.

AI Coding Agents

It’s not the only DOGE AI ambition that hasn’t panned out. On Monday, Shedd described deploying "AI coding agents" as among the agency’s top priorities, according to remarks described to WIRED. These agents help engineers automatically generate, edit, and answer questions about software code in hopes of boosting productivity and reducing errors. One tool the team looked into, according to documents viewed by WIRED, was Cursor, a coding assistant developed by Anysphere, a fast-growing San Francisco startup.

Conflict of Interest

Anysphere’s leading investors include Thrive Capital and Andreessen Horowitz—both of which have connections to Trump. Joshua Kushner, Thrive’s managing partner, has historically made political campaign donations to Democrats, but he is the brother of Trump’s son-in-law, Jared Kushner. Andreessen cofounder Marc Andreessen has said he’s advising Trump on tech and energy policy.

Alternative Option

A different person familiar with the General Services Administration’s technology purchases says the IT team at the agency had initially approved the use of Cursor, only to retract it later for further review. Now, DOGE is pushing to install Microsoft’s GitHub Copilot, the world’s most well-known coding assistant, according to the other person familiar with the agency.

Federal Regulations

Federal regulations require avoiding even the appearance of a conflict of interest in the choice of suppliers. And while there haven’t been any known widespread concerns about Cursor’s security, federal agencies are generally required by law to study potential cybersecurity risks before adopting new technology.

Conclusion

The federal government’s interest and use of AI isn’t new. In October 2023, then-president Biden ordered the General Services Administration to prioritize security reviews for several categories of AI tools, including chatbots and coding assistants. But by the end of his term, none had made it through even the preliminary agency review processes, according to a former official familiar with them. As a result, no dedicated AI-assisted coding tools have received authorization under FedRAMP, a GSA program to centralize security reviews and ease the burden on individual agencies.

FAQs

  • Q: What are DOGE AI initiatives?
    A: DOGE’s AI initiatives aim to reduce the federal budget and speed up existing processes, such as using AI tools to analyze spending and programs in the Department of Education.
  • Q: What is the GSAi chatbot project?
    A: The GSAi chatbot project is an initiative to develop a chatbot that can draft memos faster, among other tasks.
  • Q: What is the AI coding agents initiative?
    A: The AI coding agents initiative aims to deploy agents that can automatically generate, edit, and answer questions about software code, boosting productivity and reducing errors.
  • Q: What is the conflict of interest issue?
    A: The conflict of interest issue arises from the involvement of Trump-connected investors in Anysphere, the developer of Cursor, a coding assistant being considered for use by the General Services Administration.

YouTube Logo Changes Color

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YouTube’s Subtle Logo Change: A Slight Pink Hue

A Change Without a Whisper

YouTube has a reputation for experimenting with its logo, often dropping special edition designs for various occasions. However, it seems the platform made a more permanent change towards the end of 2024, and it’s only now that people are taking notice.

The Change: A Slight Pink Hue

In October 2024, YouTube quietly changed the color of its logo, transitioning from a deep red to a slightly pinker shade. The change went unnoticed by many, but upon closer inspection, the difference is apparent. The original logo had a hex code of #fe0000, while the new version is #ff1a47.

The Mystery: Why the Silence?

YouTube’s silence on the matter has led to speculation among social media users. One Redditor suggested the change might be an attempt to reduce toxicity and negativity on the platform, while another joked that it was simply a way for the company to justify their jobs. Whatever the reason, the lack of announcement has sparked curiosity and debate.

The Reaction: Love it or Hate it

The change hasn’t received a warm welcome online, with many users expressing disappointment and frustration. The sentiment is reminiscent of the backlash when Instagram made its logo slightly brighter. It seems people are particularly attached to their home screen icons and are hesitant to adapt to changes.

Conclusion

YouTube’s subtle logo change may have flown under the radar, but it’s now a noticeable difference for many users. Whether the change was intentional or not, it’s a reminder that even the smallest tweaks can spark significant reactions. As we continue to navigate the world of technology, it’s essential to remain open to change and adapt to the ever-evolving landscape.

FAQs

Q: What is the new color of the YouTube logo?
A: The new color is a slightly pinker shade, with a hex code of #ff1a47.

Q: Why did YouTube make this change?
A: The reason for the change is unknown, but it’s led to speculation among social media users.

Q: Is the change reversible?
A: As the change is now permanent, it’s unlikely to be reversed.

Q: How do I get used to the new logo?
A: As with any change, it may take some time to get used to the new logo, but being open to it can make the adaptation process easier.

OpenAI Enters Wearables Market

Wearables

When you think of headphones, AR/VR headsets, and smart jewelry, OpenAI may not come to mind. However, a new trademark filing suggests that might soon change.

OpenAI filed a trademark application on January 31 with the US Patent and Trademark Office (USPTO), spotted by TechCrunch. The application includes an extensive list of software offerings, including cloud computing, machine learning, and software-as-a-service (SaaS) — all of which are not unexpected for a company like OpenAI. However, sprinkled within the list are a significant number of hardware products.

The Hardware Products

The hardware products include earphones, headphones, sunglasses, smart watches, smart bands, smart jewelry, wearable computers, wearable cameras, digital media streaming devices, virtual and augmented reality headsets, goggles, glasses, controllers, and remotes.

Wearables, Smart Sunglasses, and AR/VR Headsets

The common thread among these products is that they are all wearables, which align perfectly with OpenAI’s current offerings. One thing that large language models (LLMs) can do very well is synthesize robust amounts of data and draw insights. Then those insights can be shared in a conversational matter and formatted to be digestible.

For that reason, many AI wellness wearables on the market are already incorporating AI within their platforms. For example, the Whoop band has an OpenAI-powered Whoop Coach, a conversational chatbot you can use to learn more about your health data and life habits. Ultimately, LLMs help users make sense of the expansive data their wearables collect.

Smart sunglasses and AR/VR headsets are another natural space for OpenAI to explore, as these products have a heavy AI presence. For example, the Meta Rayban AI and Meta Quest 3 headset incorporate Meta AI to assist you with everyday tasks, the way a more advanced AI assistant would.

Robots

Another interesting item on the list was the reference to humanoid robots. The report specifically mentions, "User-programmable humanoid robots, not configured," and "Humanoid robots having communication and learning functions for assisting and entertaining people."

This mention of humanoid robots aligns with OpenAI’s new job listings on its robotics team made earlier this month. The positions include EE Sensing Engineer, Robotics Mechanical Design Engineer, and TPM Manager.

What Now?

OpenAI has grown ChatGPT into many different offerings and products, including ChatGPT for Enterprise, Gov and Edu, ChatGPT Search, and more. Hardware is the logical next frontier for the AI research company. However, that doesn’t mean an OpenAI hardware offering will be on the market any time soon.

It’s common practice for companies to make these types of filings while exploring new ideas; often, such projects never see the light of day. Even if any of these projects do come to fruition, it could be a long roadmap before any are available to consumers.

What you can expect soon is for OpenAI to continue expanding its AI software offerings, particularly in ChatGPT. In the past week alone, OpenAI unveiled its o3-mini model and Deep Research — each one advancing the degree of assistance users can get from the chatbot.

Conclusion

OpenAI’s move into hardware would be a significant development in the AI landscape, offering a new way for users to interact with the technology. While it’s unclear if any of these projects will come to fruition, one thing is certain: OpenAI will continue to push the boundaries of what’s possible with AI.

FAQs

Q: What does OpenAI’s trademark filing suggest?
A: The filing suggests that OpenAI is exploring new hardware products, including wearables, smart sunglasses, AR/VR headsets, and humanoid robots.

Q: What types of hardware products are included in the filing?
A: The filing includes earphones, headphones, sunglasses, smart watches, smart bands, smart jewelry, wearable computers, wearable cameras, digital media streaming devices, virtual and augmented reality headsets, goggles, glasses, controllers, and remotes.

Q: What’s the significance of OpenAI’s move into hardware?
A: OpenAI’s move into hardware would be a significant development in the AI landscape, offering a new way for users to interact with the technology.

OpenAI’s ex-CTO, Mira Murati, has recruited OpenAI co-founder John Schulman

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OpenAI Co-Founder John Schulman Joins Mira Murati’s New Startup

Former OpenAI Co-Founder and CTO Mira Murati’s Secretive New Venture Gains Momentum

OpenAI co-founder John Schulman, who left AI startup Anthropic last week after a mere five months, is reportedly joining former OpenAI CTO Mira Murati’s secretive new startup, according to Fortune.

Schulman’s New Role Unclear

It’s unclear what Schulman’s role will be in Murati’s new venture. Fortune was unable to learn that information, and Murati has been tight-lipped about the venture since she left OpenAI in September. However, one source revealed to Fortune that Murati has recruited additional ex-OpenAI staff, including Christian Gibson, who was serving on OpenAI’s supercomputing team.

Schulman’s Departure from Anthropic

Confirming his departure from Anthropic, Schulman tweeted: "Leaving wasn’t easy because I enjoyed the stimulating research environment and the kind and talented people I was working with, but I decided to go with another opportunity that I found extremely compelling. I’ll share more details in the coming weeks."

Murati’s New Venture

Murati was reportedly in talks to raise over $100 million for her company in October. Her new venture has been shrouded in secrecy, with little information available about its focus or goals.

Schulman’s Background at OpenAI

Schulman was credited as one of the leading architects of ChatGPT, and left OpenAI in August to join Anthropic. In his post on X, he stated that he was leaving OpenAI to deepen his focus on AI alignment – the science of ensuring AI behaves as intended – and engage in more hands-on technical work.

Conclusion

The departure of John Schulman from Anthropic and his reported joinery with Mira Murati’s new startup marks a significant development in the AI landscape. As the industry continues to evolve, it will be interesting to see how these new partnerships shape the future of AI research and development.

FAQs

Q: What is John Schulman’s new role at Mira Murati’s new startup?
A: The role is currently unclear, with Murati being tight-lipped about the venture’s details.

Q: Who else has joined Mira Murati’s new startup?
A: Christian Gibson, a former OpenAI supercomputing team member, has also joined the venture.

Q: What is the focus of Mira Murati’s new startup?
A: The focus of the venture is currently unknown, with Murati reportedly in talks to raise over $100 million in funding.

Aetion Harnesses Generative AI and Amazon Bedrock for Scientific Intent-to-Results Translation

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Aetion’s Technology

Aetion is a healthcare software and services company that uses the science of causal inference to generate real-world evidence on the safety, effectiveness, and value of medications and clinical interventions. Aetion has partnered with the majority of top 20 biopharma, leading payors, and regulatory agencies.

Aetion’s Applications

Aetion’s applications, including Discover and Substantiate, are powered by the AEP, a core longitudinal analytic engine capable of applying rigorous causal inference and statistical methods to hundreds of millions of patient journeys. AetionAI, Aetion’s set of generative AI capabilities, are embedded across the AEP and applications.

Measures Assistant

Measures Assistant is an AetionAI feature in Substantiate. Users build analyses in Aetion Substantiate to turn real-world data into decision-grade real-world evidence. The first step is capturing patient variables from real-world data. Substantiate offers a wide range of Measures, as illustrated in the following screenshot.

Solution Overview

Patient datasets are ingested into the AEP and transformed into a longitudinal (timeline) format. AEP references this data to generate cohorts and run analyses. Measures are the variables that determine conditions for cohort entry, inclusion or exclusion, and the characteristics of a study.

Architecture Diagram

The following diagram illustrates the solution architecture.

Measures Assistant Prompt Template

Measures Assistant maintains a local knowledge base about AEP Measures from scientific experts at Aetion and incorporates this information into its responses as guardrails. These guardrails make sure the service returns valid instructions to the user, and compensates for logical reasoning errors that the core model might exhibit.

Outcomes

Our implementation of AetionAI capabilities enable users using natural language queries and sentences to describe scientific intent into algorithms that capture these variables in real-world data. Users now can turn questions expressed in natural language into measures in a matter of minutes as opposed to days, without the need of support staff and specialized training.

Conclusion

In this post, we covered how Aetion uses AWS services to streamline the user’s path from defining scientific intent to running a study and obtaining results. Measures Assistant enables scientists to implement complex studies and iterate on study designs, instantaneously receiving guidance through responses to quick, natural language queries.

About the Authors

Javier Beltrán is a Senior Machine Learning Engineer at Aetion. His career has focused on natural language processing, and he has experience applying machine learning solutions to various domains, from healthcare to social media.

Ornela Xhelili is a Staff Machine Learning Architect at Aetion. Ornela specializes in natural language processing, predictive analytics, and MLOps, and holds a Master’s of Science in Statistics. Ornela has spent the past 8 years building AI/ML products for tech startups across various domains, including healthcare, finance, analytics, and ecommerce.

Prasidh Chhabri is a Product Manager at Aetion, leading the Aetion Evidence Platform, core analytics, and AI/ML capabilities. He has extensive experience building quantitative and statistical methods to solve problems in human health.

Mikhail Vaynshteyn is a Solutions Architect with Amazon Web Services. Mikhail works with healthcare life sciences customers and specializes in data analytics services. Mikhail has more than 20 years of industry experience covering a wide range of technologies and sectors.

FAQs

Q: What is Aetion’s technology used for?
A: Aetion’s technology is used to generate real-world evidence on the safety, effectiveness, and value of medications and clinical interventions.

Q: What is Measures Assistant?
A: Measures Assistant is an AetionAI feature in Substantiate that enables users to turn questions expressed in natural language into measures in a matter of minutes.

Q: How does Aetion’s solution architecture work?
A: Aetion’s solution architecture involves ingesting patient datasets into the AEP, transforming them into a longitudinal (timeline) format, and generating cohorts and running analyses using Measures.

Q: What is the benefit of using Aetion’s technology?
A: Aetion’s technology enables users to turn questions expressed in natural language into measures in a matter of minutes, without the need of support staff and specialized training.

Sony apparently hates fun, axes the Bloodborne demake with another copyright claim

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Will Sony Ever Release a Bloodborne Remake or Remaster?

The Copyright Enforcers Strike Again

Last week, Sony’s copyright enforcers shut down the 60fps mod that allowed Bloodborne to run smoothly, and now they’ve killed the fan-made "Bloodborne PSX" demake that reimagined the game as a block game for the original 1995 PlayStation. The takedown notice claims that the creator, Walther, is engaging in "digital piracy."

A History of Sony’s Approach to Fan Creations

It’s not surprising that Sony wouldn’t want Walther to promote her work using its copyrighted names. However, what’s surprising is that Sony needed an enforcer in the first place. Walther was happy to change her other "Bloodborne Kart" game to "Nightmare Kart" after Sony simply reached out and asked her. This suggests that Sony is willing to work with fans, but only on its own terms.

The Role of MarkScan

MarkScan, a company that submits millions of URL takedown requests on behalf of various companies, including Sony, was also behind the Bloodborne 60fps mod takedown. MarkScan took down one of Walther’s YouTube videos about Bloodborne PSX with a copyright claim. This raises questions about the motivations behind these takedowns.

A Coded Message from Sony?

Sony did get our hopes up by putting Bloodborne at the very end of its 30th Anniversary thank-you video in December with the words "It’s about persistence." Could this be a coded message to fans that they need to keep on waiting for a remake or remaster?

Conclusion

While Sony’s copyright enforcers may be shutting down fan creations, it’s clear that the company is willing to work with fans on its own terms. The question remains: will Sony ever release a remake or remaster of Bloodborne? Only time will tell.

FAQs

Q: Why did Sony shut down the Bloodborne 60fps mod and the Bloodborne PSX demake?
A: Sony’s copyright enforcers claimed that the creators were engaging in "digital piracy."

Q: Has Sony ever worked with fans on their creations?
A: Yes, Sony has worked with fans in the past. Walther was asked to change her "Bloodborne Kart" game to "Nightmare Kart" after Sony reached out and asked her.

Q: Who is MarkScan, and what is its role in the takedowns?
A: MarkScan is a company that submits millions of URL takedown requests on behalf of various companies, including Sony. It was also behind the Bloodborne 60fps mod takedown and took down one of Walther’s YouTube videos about Bloodborne PSX with a copyright claim.

Q: Is Sony’s approach to fan creations a sign that they will never release a remake or remaster of Bloodborne?
A: No, Sony’s approach to fan creations is not necessarily a sign that they will never release a remake or remaster of Bloodborne. The company may be waiting for the right time to do so.