A popular Bloodborne framerate mod is no longer available thanks to a DMCA takedown request from Sony. Australia-based Twitch streamer Lance McDonald first developed the mod back in 2020 before making it available to download in 2021. Lance announced today in a post on X that Sony Interactive Entertainment asked them to remove download links for the patch.

The hack’s sole purpose was to get Bloodborne running at a smoother 60 fps with improved frame pacing. FromSoftware originally released Bloodborne back in 2015 for the PlayStation 4, and the game has always been locked at 30 fps with occasional stuttering from inconsistent pacing (the 30 frames within each second were not always on-screen for equal amounts of time). The beloved game’s graphical limitations have persisted even on the PS4 Pro and while playing it via backwards compatibility on the PlayStation 5.

Lance’s mod has received its share of testing and praise from the “Soulsbourne” community that covet FromSoftware games but wish their technical and graphical chops were more cutting-edge. This includes being spotlighted by creators like Digital Foundry, who interviewed McDonald about his hack back in 2020, used his mod to make a 4K / 60 fps representation on PS5 using AI upscaling, and recently published a Bloodborne PS4 emulation video that really juices up the performance and has an extra-spicy video thumbnail aimed squarely at Sony.

For years, the most rabid of Bloodborne fans have been quick to jump at any Bloodborne-related news as a potential clue to an upcoming, long-awaited remake. And in this case, it only takes a short scroll of McDonald’s replies on his post to see people speculating that this takedown means Sony must be nearing some kind of announcement in time for the 10-year anniversary of Bloodborne’s release. Or, perhaps, Sony is just taking a page from Nintendo’s playbook.

Nvidia is touting the performance of DeepSeek’s open source AI models on its just-launched RTX 50-series GPUs, claiming that they can “run the DeepSeek family of distilled models faster than anything on the PC market.” But this announcement from Nvidia might be somewhat missing the point.

This week, Nvidia’s market cap suffered the single biggest one-day market cap loss for a US company ever, a loss widely attributed to DeepSeek. DeepSeek said that its new R1 reasoning model didn’t require powerful Nvidia hardware to achieve comparable performance to OpenAI’s o1 model, letting the Chinese company train it at a significantly lower cost. What DeepSeek accomplished with R1 appears to show that Nvidia’s best chips may not be strictly needed to make strides in AI, which could affect the company’s fortunes in the future. 

That said, DeepSeek did train its models using Nvidia GPUs, merely weaker ones (H800) that the US government allows Nvidia to export to China. And today’s blog post from Nvidia wants to show that its new 50-series RTX GPUs can be useful for R1 inference – or what an AI model actually generates – saying that the GPUs are built on the “same NVIDIA Blackwell GPU architecture that fuels world-leading AI innovation in the data center” and that “RTX fully accelerates DeepSeek, offering maximum inference performance on PCs.” 

But how DeepSeek did its training is part of what has been such a big deal. (And it’s worth noting that China is getting a less powerful version of the RTX 5090.) 

Other tech companies are trying to ride the DeepSeek wave, too. R1 is also now available on AWS, and Microsoft made it available on its Azure AI Foundry platform and GitHub this week. However, Microsoft and OpenAI are reportedly investigating if DeepSeek took OpenAI data, Bloomberg reports.

DeepSeek is shaking up the AI industry with cost-efficient large language models it claims can perform just as well as rivals from giants like OpenAI and Meta. The Chinese startup says its flagship R1 reasoning model is capable of achieving “performance comparable” to OpenAI’s o1 equivalent, while the newly released Janus Pro multimodal AI model can supposedly outperform Stable Diffusion and DALL-E 3.

DeepSeek’s ChatGPT competitor quickly soared to the top of the App Store, and the company is disrupting financial markets, with shares of Nvidia dipping 17 percent to cut nearly $600 billion from its market cap on January 27th, which CNBC said is the biggest single-day drop in US history.

The AI assistant is powered by the startup’s “state-of-the-art” DeepSeek-V3 model, allowing users to ask questions, plan trips, generate text, and more. As downloads of DeepSeek’s app spiked, the startup began restricting signups due to “malicious attacks.”

Launched in 2023 by Liang Wenfeng, DeepSeek has garnered attention for building open-source AI models using less cash and fewer GPUs when compared to the billions spent by OpenAI, Meta, Google, Microsoft, and others. If DeepSeek’s performance claims are true, it could prove that the startup managed to build powerful AI models despite strict US export controls preventing chipmakers like Nvidia from selling high-performance graphics cards in China.

Here’s all the latest on DeepSeek.

• Nvidia says its new GPUs are the fastest for DeepSeek AI, which kind of misses the point
• AI is ‘an energy hog,’ but DeepSeek could change that
• How DeepSeek crashed the AI party
• The too-online finance dorks are at it again.
• DeepSeek database left user data, chat histories exposed for anyone to see
• Inside Microsoft’s quick embrace of DeepSeek
• DeepSeek, Stargate, and the new AI arms race
• Mark Zuckerberg says Meta isn’t worried about DeepSeek
• Someone might be squatting on DeepSeek’s trademark.
• Microsoft makes DeepSeek’s R1 model available on Azure AI and GitHub
• OpenAI has evidence that its models helped train China’s DeepSeek
• Why everyone is freaking out about DeepSeek
• OpenAI CEO Sam Altman on DeepSeek R1: “an impressive model.”
• Trump says he’ll put tariffs on imported chips ‘in the near future’
• Nvidia’s market cap drops by almost $600 billion amid DeepSeek R1 hype.
• Nvidia responds to the DeepSeek hype.
• DeepSeek says its newest AI model, Janus-Pro can outperform Stable Diffusion and DALL-E 3.
• DeepSeek’s top-ranked AI app is restricting sign-ups due to ‘malicious attacks’
• China’s DeepSeek AI is hitting Nvidia where it hurts