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OpenAI says it has evidence DeepSeek used ChatGPT to train its AI

Chinese startup DeepSeek stunned the world with its sophisticated DeepSeek R1 reasoning model, which is as good as ChatGPT o1. That’s not a surprising achievement; it’s only a matter of time before other AI models can replicate what OpenAI has done in terms of AI reasoning. Also, OpenAI will soon make o3 available, the successor to o1.

What really shocked the markets was DeepSeek’s research, which showed that the company was able to train R1 to achieve the same capabilities at a fraction of the cost of training o1.

Because of US sanctions, DeepSeek didn’t have access to the latest NVIDIA GPUs that AI firms like OpenAI use to train high-end AI models. It turned to software optimizations to compensate for what it lacked in hardware to create an AI model that could match ChatGPT o1.

But it turns out software optimization isn’t everything DeepSeek might have done to train its AI. OpenAI claims it has evidence that DeepSeek distilled ChatGPT to train the DeepSeek AI models.

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If that’s true, the practice violates OpenAI’s terms of service for ChatGPT. Ironically, if OpenAI’s claim is true, it’ll make the company experience what many creators felt when they discovered OpenAI may have trained its ChatGPT models using copyrighted materials without consent.

OpenAI told The Financial Times it found evidence that DeepSeek used the US models to train DeepSeek AI.

OpenAI found evidence of “distillation,” which it believes came from DeepSeek. Distillation is a process where AI firms use an already trained large AI model to train smaller models. The “student” models will match similar results to the “teacher” AI in specific tasks.

Some early DeepSeek testers were surprised to see the AI identify itself as ChatGPT in early responses, which prompted speculation that DeepSeek AI might have been trained with ChatGPT chats.

OpenAI claims that DeepSeek might have distilled ChatGPT make sense, but it’s unclear whether the US AI firm can prove the IP theft beyond doubt. Even if it can provide conclusive evidence that DeepSeek used ChatGPT to train its AIs, there’s probably little OpenAI can do. After all, DeepSeek R1 is already out in the wild.

DeepSeek made its models available open-source, which means anyone can install them on computers. The DeepSeek app is topping the App Store, and it’s available in the Google Play store. Unless DeepSeek is banned in the US, the app won’t go away anytime soon.

The FT says that OpenAI and Microsoft investigated accounts believed to belong to DeepSeeka last year. They were using OpenAI’s API for ChatGPT access. OpenAI blocked access, suspecting they may rely on distillation to train other models.

DeepSeek has not commented on these allegations. The company is seen as a hero in China after the release of DeepSeek R1, which wiped nearly $1 billion from the US market.

On the other hand, it’s not just Chinese AI companies like DeepSeek that might rely on the distillation of ChatGPT and other frontier AIs to train better AI models. The FT notes that it’s common practice for AI labs in China and the US to use outputs from bigger companies.

OpenAI and others have already trained AI using humans to teach the models how to produce responses that sound more conversational. This is an expensive process, so smaller firms will distill established models to train smaller ones. In such a case, a company like DeepSeek would have gotten the human feedback step for free.

I said earlier that DeepSeek’s use of distillation to train R1 is something others could benefit from, Apple included. I wasn’t referring to stealing AI work done by others but to using advanced, proprietary models to train smaller models that Apple might need for its on-device Apple Intelligence approach.

If OpenAI has strong evidence that DeepSeek used ChatGPT to train its AI models, we could be looking at the second good reason to ban DeepSeek in the US and elsewhere. The first is that DeepSeek collects plenty of user data and sends it all to China.

A ban is a process that will take time. And, again, even if all of this is successful, DeepSeek will still have strong AI models on its hands, which it can use to create next-gen AI of its own.

Meanwhile, OpenAI still has to deal with allegations that it used copyrighted content without consent to create ChatGPT.

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Alibaba’s Qwen 2.5 surpasses DeepSeek as China’s AI race heats up

In a rare move, Chinese tech company Alibaba released a new version of the Qwen 2.5 artificial intelligence model during the Lunar New Year. The tech firm claims this update surpasses DeepSeek-V3, which had a meteoric rise in popularity in the past three weeks.

With this release, we’re now seeing that not only are US companies intensifying the AI race against the Chinese, but local competition also wants to stay ahead.

As first reported by Reuters, Alibaba announced that its new AI model outperforms the most recent LLM models available, even though it doesn’t offer ChatGPT Operator-like features. “Qwen 2.5-Max outperforms… almost across the board GPT-4o, DeepSeek-V3 and Llama-3.1-405B,” posted the company on WeChat.

That said, Alibaba continues to defy other major Chinese players, including DeepSeek, Baidu, and Tencent. Last year, the company slashed its usage prices since the DeepSeek-V2 was not only open-source but also cost around $0.14 per 1 million tokens. Baidu also followed the price cut.

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AI race intensifies in the US

Over here, OpenAI’s CEO, Sam Altman, teased several “exciting new features” coming to ChatGPT as DeepSeek’s popularity exploded. Then, the company announced a new ChatGPT Gov tool to strengthen ties with the US government, followed by a post with Microsoft’s Satya Nadella about all the crazy new stuff OpenAI has planned.

This is all due to DeepSeek’s sophisticated R1 reasoning model. While it’s as good as ChatGPT’s o1, what impressed everyone is that training the model costs a fraction of what OpenAI usually spends.

That being said, OpenAI says there is evidence that DeepSeek distilled ChatGPT to train its AI models. If true, the practice violates OpenAI’s terms of service for ChatGPT.

Ironically, if OpenAI’s claim is true, it’ll make the company experience what many creators felt when they discovered OpenAI may have trained its ChatGPT models using copyrighted materials without consent.

BGR will let you know as we learn more about new AI models from China, such as Alibaba, DeepSeek, and others, as well as the latest advancements in the US market.

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Will the iPhone SE 4 have a Dynamic Island or a notch?

Despite all the DeepSeek hype and OpenAI recently accusing the Chinese company of training its model with ChatGPT, there’s still room for iPhone SE 4 rumors. Did you even remember that Apple is getting ready to announce its first new iPhone of 2025? Apple’s most affordable iPhone with the A18 chip, 6.1-inch OLED display, Dynamic Island cutout, a single rear camera, and Apple’s exclusive 5G and Wi-Fi modems? Well, it seems not all of those rumors are true.

Over the past few weeks, we’ve seen leaks claiming the iPhone SE 4 would have a Dynamic Island cutout instead of the iPhone 14-like notch, which was already rumored for years.

This possible change was teased by credible leaker Evan Blass, followed by controversial leaker Majin Bu. While seeing a new iPhone SE with all this tech would be pretty impressive, it would make sense if Apple held back just a little. Now, thanks to display analyst Ross Young, we’ve pretty much got confirmation.

Young has a perfect track record, and he recently posted on X that the iPhone SE 4 will feature an iPhone 14-like notch cutout. Even if the analyst didn’t say that, Apple has been consistent with its iPhone SE releases to assume that.

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In the past three iterations, Apple used the previous iPhone design. For example, with the iPhone SE 1, Apple rocked the iPhone 5-like design while it already offered the new iPhone 6 style. With the second and third generations of the iPhone SE, it remained with an iPhone 6/8-like design because Apple was already offering iPhone models with a notch. Finally, now that the company moved on to Dynamic Island, it makes sense the notch and larger displays are the next big improvement.

That said, even if the new iPhone SE 4 gets the notch, it’s still a big improvement over the past design, especially since Apple will finally phase out Touch ID on the iPhone and offer Face ID across its lineup.

Apple is expected to hold a spring event to announce this new iPhone alongside other new products. BGR will let you know once we learn more about it.

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Intel is taking the budget GPU market by storm

  • Intel’s upcoming Arc B570 GPU is only 12% slower than B580 according to early benchmark
  • The Arc B580 will start at $249 while the B570 will start at $219
  • Intel has taken a great leap in its GPU and gaming focus

While Nvidia and AMD‘s new GPUs may have taken the spotlight over recent weeks with a slew of big new reveals, notably Team Green’s RTX 5000 series at CES 2025, Intel is slowly becoming a dark horse within the budget GPU market – and PC gamers with tight budgets should pay attention.

According to an early test result spotted in the Geekbench 6 database (initially highlighted by Wccftech), the Intel Arc B570 is only 12% slower – perfect, since it’s also 12% cheaper than the Arc B580, which we noted offers fierce competition in terms of performance against its affordable rivals in our Intel Arc B580 review. This was made evident with the B570’s 86,718 score compared to the B580’s 98,343 in the OpenCL API benchmark.

Whilst there are multiple different benchmark results for the B580 (with the same expected for the B570 once it hits full release), Wccftech states most range between 95,000 and 100,000 points, suggesting slower performance on its lower-spec counterpart.

Considering the price of the Arc B580 ($249 / £249 / AU$439) and the Arc B570 ($219 / £219 / around AU$350), PC gamers on a budget will have a variety of competent options for 1080p gaming this generation. With Team Blue’s XeSS upscaling method gradually improving, Intel could claim pole position to become the budget GPU king if it can compete with Nvidia’s DLSS and AMD’s FSR.

A pair of Intel Arc Alchemist chips in front of a dark purple background

(Image credit: Intel)

Is it time to take Intel’s GPU and gaming efforts seriously?

Nvidia has consistently ruled over the years, while Intel has focused on providing stronger processors for PC builds and AMD has historically been a plucky underdog in both markets. The tide is now turning within the budget GPU space, and it’s safe to say that Team Blue is now one to take seriously.

Besides the upcoming Arc B580 and B570, Intel’s new Lunar Lake processors have been shown to benefit handheld gaming PCs as well – the MSI Claw 8 AI+ is powered by the Ultra Core 7 258V processor, which will reportedly allow gamers to play games like Cyberpunk 2077 on higher settings using ray tracing.

There’s still a long way to go for Intel to catch up to AMD and Nvidia in terms of providing high-end GPU hardware, but it’s already off to a great start – I hope its next lineup of GPUs showcases a big step forward in performance.

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DeepSeek AI bans in the US have begun

The other day, I wondered whether the US should consider a DeepSeek ban amid all the excitement. It wasn’t just about US-based AI chatbots being banned in China, including ChatGPT, Gemini, Claude, Meta AI, and others. It’s also about the DeepSeek privacy policy since all data is sent in China. Also, there’s the DeepSeek censorship related to sensitive topics for China, and the risk of China using AI algorithms in its own interest, similar to how TikTok allegedly operated its algorithm.

While I started wondering whether a US ban on DeepSeek was imminent, it looks like localized bans were in effect long before then. The US Navy issued an order on Friday warning “shipmates” not to use DeepSeek AI “in any capacity” due to “potential security and ethical concerns associated with the model’s origin and usage.”

A spokesperson for the US Navy confirmed to CNBC that the email it reported on was genuine. The email was in reference to the Department of the Navy’s Chief Information Officer’s generative AI policy.

“We would like to bring to your attention a critical update regarding a new AI model called DeepSeek,” the email said. The US Navy informed everyone in the OpNav distribution list that it was “imperative” that members do not use DeepSeek AI “for any work-related tasks or personal use.”

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Recipients were told to “refrain from downloading, installing, or using the DeepSeek model in any capacity.”

OpNav stands for Operational Navy, which means the email was an all-hands demo. CNBC further explains that the warning was based on an advisory from the Naval Air Warcraft Center Division Cyber Workforce Manager.

A specific, localized ban on the use of generative AI like ChatGPT isn’t surprising for any new AI tool, whether DeepSeek or something else. It happened during the early days of ChatGPT, both in the US and internationally. Countries in the EU even briefly banned OpenAI’s chatbot, citing privacy issues.

Such bans were applied at the company level, with Samsung’s ban on ChatGPT being one of the memorable ones. At the time, some Samsung employees uploaded sensitive code to ChatGPT. The early days of ChatGPT use were not the best for privacy-conscious individuals. It wasn’t easy to opt out of model training, as OpenAI made several improvements to its privacy policy along the way.

Similar precautions should be taken with DeepSeek AI, especially by governmental employees like the US Navy. I wouldn’t be surprised if other military or government branches issued similar messages in the US and other countries. In a way, this mimics the US government’s reaction to TikTok, which was initially banned from devices belonging to government employees.

Then there are the special concerns mentioned above. DeepSeek user data and chat content go to China, and DeepSeek also conducts censorship in real time. It makes sense for the US Navy to ban DeepSeek and do it very early. The memo was sent out on Friday, just a few days before DeepSeek went viral.

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I can’t believe I’m saying this, but Nvidia, good on you

  • Nvidia will bring Frame Generation enhancements to the RTX 4000 series
  • DLSS 4 will be accessible to all RTX GPUs
  • This may prove to be beneficial for the longevity of older GPUs

During Nvidia‘s RTX 4000 GPU series launch in 2022, we saw plenty of criticism from PC gamers (including myself) regarding both the sky-high pricing and DLSS 3 with Frame Generation being exclusive to the new generation. This time around, with the new RTX 5000 series reveal, it seems Nvidia is making amends.

As highlighted by Wccftech, starting 30 January (the RTX 5090 and 5080 launch date), RTX 4000 series GPU owners will receive enhancements to Frame Generation, promising to use less VRAM while boosting performance with higher frame rates. That’s not all, either: all RTX GPUs will have access to the improved upscaling of DLSS 4, which is a massive benefit for all RTX 2000 and 3000 owners who have had access to DLSS 3’s super-resolution.

While the new Multi Frame Generation feature will be exclusive to the RTX 5000 series (likely due to hardware requirements), these enhancements for the RTX 4000 series owners (using DLSS 4), may prove highly beneficial in improving performance across multiple games. Despite the online controversy surrounding Team Green’s Frame Generation and the potential disregard for optimization from game developers, it’s a nice gesture to maintain support for older GPUs, especially considering previous circumstances.

Image of Nvidia's DLSS 4 Frame Generation

This should naturally be taken with a pinch of salt, but Nvidia’s own showcase sees better framerates and less VRAM use with the improved Frame Generation for RTX 4000. (Image credit: Nvidia)

Is there any need for an RTX 5000 series GPU now?

With DLSS 4 soon available for all RTX users and Frame Generation enhancements on the way for compatible GPUs, it begs the question – is there an urgent need to upgrade to the new RTX 5000 series? Honestly, I’m not sure, at least regarding the wallet-busting RTX 5080 or 5090 for now. While we’re still awaiting actual performance results, there’s a strong chance that DLSS 4 will prove to be a massive benefit to the older GPUs.

I imagine that the leap from DLSS 3 to DLSS 4 for, say, an RTX 3060 GPU will work wonders at providing a performance boost – while it may not completely revolutionize performance, it could potentially net users a few more years of use from their current GPUs before they really need to start contemplating an upgrade.

Granted, when looking at the newly announced RTX 5070, its $549 / £539 / AU$1,109 price tag and Nvidia’s claims of RTX 4090-level performance (while using DLSS 4 with frame-gen enabled, to be clear), I can say that upgrading to this GPU will likely end up being worth it for any PC gamers without sky-high budgets – but we’ll have to wait and see once reviews are available.

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Here’s another reason not to use DeepSeek AI

DeepSeek R1 is the most important development in AI so far in 2025. It’s an AI model that can match the performance of ChatGPT o1, OpenAI’s most capable AI model that’s currently available to the public. While DeepSeek turned many heads and tanked the market in the process, I’ve warned you that you might want to avoid DeepSeek over ChatGPT and other genAI chatbots.

DeepSeek is not like US and European AI. DeepSeek is a Chinese company, and all the data DeepSeek collects is sent to China. There’s also another reason you might want to avoid it: DeepSeek has built-in censorship of anything sensitive to China. You don’t want to see any kind of censorship in AI products, of course.

It turns out that DeepSeek censors itself in real-time. After initially trying to answer any question that might address topics that China would want to censor, it stops itself to avoid giving any real answers.

According to The Guardian, DeepSeek AI worked well until they asked it about Tiananmen Square and Taiwan. The report also details cases of censorship that other DeepSeek users experienced, including the remarkable discovery that censorship doesn’t happen before DeepSeek starts formulating its chain-of-thought approach to handle a sensitive topic. Instead, DeepSeek tries to answer the question just like ChatGPT and other similar AI models would. A user from Mexico shared their experience with DeepSeek when asking whether free speech was a legitimate right in China.

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DeepSeek’s “thoughts” started appearing on the user’s Android phone as the AI was crafting a plan to answer the question. ChatGPT users familiar with o1 would recognize this behavior.

Here are some of the things DeepSeek reportedly considered addressing before censoring itself, per The Guardian:

Beijing’s crackdown on protests in Hong Kong

“persecution of human rights lawyers”,

“censorship of discussions on Xianjiang re-education camps” 

China’s “social credit system punishing dissenters”

Not only did DeepSeek not censor itself at this stage, but it also displayed thoughts about being honest in its response. Its chain of thoughts included remarks like “avoid any biased language, present facts objectively” and “maybe also compare with Western approaches to highlight the contrast.”

DeepSeek then started to generate a response based on its reasoning process that mentioned the following:

“ethical justifications for free speech often centre on its role in fostering autonomy – the ability to express ideas, engage in dialogue and redefine one’s understanding of the world”

“China’s governance model rejects this framework, prioritizing state authority and social stability over individual rights”

“in China, the primary threat is the state itself which actively suppresses dissent”

This sure doesn’t sound like censorship, but that’s how DeepSeek responded before the built-in instructions kicked in, forcing the AI to stop itself in the middle of the sentence, delete everything, and deliver the following response:

“Sorry, I’m not sure how to approach this type of question yet. Let’s chat about math, coding and logic problems instead!”

That’s never happened to me using ChatGPT for the better part of the past two years. Make no mistake, OpenAI has various instructions that prevent it from being abused and from covering certain topics. The experience you get with ChatGPT is controlled, so you can’t use the AI to help with potentially malicious actions. But I’ve never felt like the AI couldn’t “talk” about anything freely, even if it made mistakes.

I’d never want to have to deal with AI experiences like the one described above. I’d trust the AI even less than I do. Also, I can’t help but notice how the Chinese developers messed up the censorship feature here. It should happen before the AI tries to answer, not after the fact. I expect DeepSeek app updates will fix this problem.

I’ll also note the bigger implication here. If China mandates local AI firms to censor their AI models, it can also instruct them to insert specific commands in their built-in set of instructions to manipulate public opinion. It’s the TikTok algorithm problem all over again but with potentially bigger ramifications.

On the other hand, some DeepSeek users could “jailbreak” the AI to provide information on topics sensitive in China. We’ve seen examples of that online.

Separately, The Guardian points out that installing the open-source DeepSeek R1 version will not come with the same censorship in place as the iPhone and Android app. However, most people will not go down this route. Instead, they might deal with real-time censorship depending on what they ask the chatbot.

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Nvidia abandons the problematic 12VHPWR RTX 4080 power connector with a much longer one for the RTX 5080 FE according to leaked images

  • Chinese reviewer showcases the RTX 5080 FE and its new power connector
  • The embargo is expected to be on January 29, a day before its launch
  • The new power connector has new wires for a more secure connection

Following Nvidia‘s RTX 5000 series unveiling at CES 2025, we’re waiting for our first look at the RTX 5090’s performance from user benchmarks to find out how well the new Multi Frame Generation feature really works – but for now, we’ve got our first look at its little brother, the RTX 5080 Founders Edition, and its new power connector.

This comes from a reviewer on the Chinese social media site Bilibili (as reported by VideoCardz), who showcased the RTX 5080 FE along with its new power adapter and stated that the embargo date for reviews will be January 29 (a day before launch) – although this conflicts with a previous VideoCardz report that embargoes will lift on January 24. At the time of writing, the Bilibili post appears to have been taken down – potentially due to a legal notice from Nvidia – but the VideoCardz article is still live, at least for now.

The RTX 4080 and 4090 power connector, called the 12VHPWR connector, wasn’t ideal for users – considering it was a potential fire hazard, and its short length left a lack of space and flexibility for side panels on PC cases to close (it also wasn’t very pleasant to look at, frankly).

Based on the early image shown in the VideoCardz article (which we’re not posting here because we’d rather not invoke the fury of Nvidia’s legal department), it seems that Nvidia is providing a much longer and more flexible power adapter now – I recently covered the RTX 4080 Super and its performance in the Resident Evil 4 remake, and the only glaring issue I found wasn’t with the card’s performance itself, but rather the finicky power adapter.

While there’s only so much information we can take from a leaked image like this, it looks to be a little more case-friendly if it operates in the same manner as the likes of Seasonic’s 12VHPWR power cable – VideoCardz also pointed out the additional sense wires that have been added to ensure a secure 8-pin connection, hopefully preventing any connection issues that caused the connector meltdowns we saw with the previous generation.

The Nvidia RTX 5080 GPU on a green background.

(Image credit: Nvidia)

What solutions are available for the RTX 4080 GPU power adapter?

For those sticking with the RTX 4080, depending on your PC’s power supply, there are plenty of options on the market that work as viable alternatives to the problematic RTX 4080 power connector. It’s important to buy the correct cable that provides a sufficient amount of power and is compatible with your PSU – you don’t want to run the risk of buying a cheap, unreliable one either.

It isn’t exactly clear from the provided pictures whether the new power adapter for the RTX 5080 (and the RTX 5090) will be compatible with the RTX 4080 or any other RTX 4000 cards, but if it is, that could be the easy solution to this matter.

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January 30 is on the horizon, so we’ll be seeing more of what Nvidia’s new powerhouse GPUs will have to offer – hopefully, there are no recurring issues concerning potential melting cables on this occasion.

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AMD RX 9070 models spotted at retailers – all they need now is a price to sink Nvidia’s RTX 5070 GPUs

  • AMD’s RX 9070 GPUs were listed as in stock by a Danish retailer
  • Purported photos were also provided from a retailer in Israel
  • Release date rumors are pointing strongly towards something happening either on January 23 or 24

AMD’s RX 9070 graphics cards are already in the hands of retailers, if the latest gossip on the RDNA 4 GPUs is correct.

VideoCardz noticed that a Danish retailer (Foniks) actually had both the RX 9070 and RX 9070 XT listed as in stock on its website, although those listings have now been pulled. This was flagged by @momomo_us, a regular leaker on X.

The tech site also pointed to a Reddit thread where a staff member at a shop in Israel provided purported photos of both the RX 9070 and its 9070 XT sibling (as ever, skeptical hat on, but they look genuine enough).

Those pics have now been removed from Reddit, but the thread remains (at the time of writing), and VideoCardz saved and published them.

Further to that, a German price comparison site, Geizhals, also listed the RX 9070 XT with a release date of January 24, and so the spillage around these GPUs is coming pretty thick and fast now.

A PC gamer looking happy

(Image credit: Shutterstock)

Analysis: Strong signs of an imminent RDNA 4 launch

What’s interesting here is that as someone else (CrateDane) noticed on the Reddit thread, Foniks had the RX 9070 listed as ‘In stock’ briefly, but then that was changed to ‘Ordered, expected in stock by January 23’ before the listings were taken down completely.

So, we have a mention of both January 23 and 24 here, as the potential launch date, which backs up other recent rumors. B&H Photo has previously accidentally listed the RX 9070 and RX 9070 XT with a pre-order date of January 23, and XFX, a graphics card maker, also dropped a hint on social media that something big relating to Navi 48 (AMD’s chip in the RX 9070, as per rumors) is happening on January 24.

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At this point, then, we’d be surprised if something doesn’t happen on January 24 (or 23), whether that’s the full announcement of RX 9070 models, or these graphics cards actually going on sale.

If you’re thinking – weren’t these RDNA 4 GPUs announced at CES 2025? – yes, they were, but barely, with hardly any details revealed. AMD wants to debut the RX 9070 boards with their own showcase, and by all accounts, also wanted to see Nvidia’s big RTX 5000 unveiling and pricing, before deciding on its own price tags – which will be suitably compelling, we’re told.

As far as what AMD has officially said in terms of dates, though, all we have is a release timeframe of Q1 2025. Frank Azor, AMD’s head of consumer and gaming marketing, previously said there will be a dedicated RDNA 4 launch event, and VideoCardz also noticed that another Team Red exec, Donny Woligroski, a senior marketing manager, backed this up, but without providing any firm date. Apparently it’ll be soon, though – likely a week away, maybe, or even sooner, if all these hints that have been dropped aren’t hopelessly errant. (Or, if AMD changes its mind again over the next week – though that seems unlikely).

Why wait until late in January, you might be thinking? Well, this gives AMD a suitable distance from the noise and hype around CES 2025 revelations, and of course, a chance to run interference with Nvidia’s RTX 5080 and 5090 launch which happens on January 30 (though reviews are likely to come out a bit before that, going by rumors).

Frank Azor previously underlined that there’s certainly no delay around RDNA 4, and that isn’t an issue here, as the apparent appearance of RX 9070 models at retailers indicates.

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Nvidia’s new next-gen GPU benchmarks cause concern among PC gamers, particularly with the RTX 5080 – but don’t panic yet

  • Nvidia has provided some new benchmarks for RTX 5000 graphics cards
  • Two of them don’t involve DLSS 4 and Multi Frame Generation
  • However, the gen-on-gen uplifts shown here are modest – but we still shouldn’t get carried away

Nvidia has released some more game benchmarks for its next-gen Blackwell GPUs, and we’ve caught a couple of results that don’t use DLSS 4 and its Multi Frame Generation (MFG) feature.

The trouble with the in-game benchmarks that use MFG – which is a big upgrade on Nvidia’s original frame generation, inserting more artificial frames to up the frames per second count – is that they aren’t a fair apples-to-apples comparison with RTX 4000 graphics cards using DLSS 3 frame generation (the latter can’t use DLSS 4 MFG, as it’s exclusive to RTX 5000). And that’s the case for most of the benchmarks aired thus far.

So, PC gamers are hungry to see generational comparisons that don’t use DLSS 4, avoiding this skewing of the results, and we’ve got two games where this has happened in this fresh benchmarking – reported by ComputerBase (via VideoCardz) – namely Horizon Forbidden West and Resident Evil 4.

Resident Evil 4 doesn’t use DLSS at all – but does have ray tracing turned on – and Horizon Forbidden West gives us a glimpse of rasterized (non-ray tracing) gen-on-gen performance, but with DLSS on (with no frame generation, though, crucially, so MFG is removed from the equation).

Going by the bars in the bar chart provided – estimating their relative lengths, as Nvidia doesn’t provide hard figures – it looks like the RTX 5090 is about a third (33%) faster than the RTX 4090 in these two games. However, there’s a much leaner 15% or thereabouts jump with the RTX 5080 versus the RTX 4080.

With the RTX 5070 and its 5070 Ti sibling, we’re looking at more like a 20% jump compared to their respective predecessors, again just in those two games.

The Nvidia GeForce 5090 GPU on display at CES 2025

(Image credit: Future)

Analysis: Fake frames outcry part umpteen

“See. Nvidia’s new graphics cards are a big con – without ‘fake frames’ they are going to be rubbish!”

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Fake frames meaning frame generation, and this is the kind of vitriolic comment that’s popping up a fair bit following this revelation (and indeed before it, to be fair). But we do have to bear in mind that this is just a couple of games, in certain specific configurations.

Still, I concede the general point. On the one hand, Nvidia will obviously want to show off DLSS 4 and MFG as it’s a big leap forward (well, in theory at this point for all of us outside Team Green) for its GPUs. But on the other hand, it doesn’t feel great that most of the benchmarks shown thus far use MFG, and as noted, aren’t fair or direct comparisons with RTX 4000 graphics cards. These benchmarks show at least 30% to 40% gains (in previous airings), or a doubling of frames rates (as seen here with some games, and indeed a 2.9x gain with Indiana Jones and the Great Circle). Of course, this isn’t what you’ll see outside of games that support DLSS 4 with MFG.

Gamers would like to see a broader range of benchmarks, including pure rasterized performance without any DLSS – which we haven’t seen at all, as Resident Evil 4 above, the only game not to have DLSS turned on in Nvidia’s testing, is ray-traced performance.

Nvidia’s job is, at the prerelease stage, to stoke excitement for its graphics cards, obviously enough, but the slant towards that aim feels too skewed for gamers (and myself, I should add) in the way the RTX 5000 GPUs have been shown off so far.

Even so, the shakier-looking gen-on-gen performance of Horizon Forbidden West and Resident Evil 4 should not be used as a springboard to reach a conclusion along the lines of the (fake) fake frames rant I introduced this section with – that’s unfair, and going too far in the other direction

That said, to some extent, a lesser generational uplift is expected with Blackwell compared to Lovelace (RTX 4000), outside of the software plus AI tricks (neural texture compression) and the new trump card of MFG. After all, RTX 5000 is made on the same process as RTX 4000 (TSMC 4N, albeit an improved version, 4NP, for Blackwell), and so there’s no process drop to facilitate beefy generational gains there – that side of the equation relies purely on architectural enhancements.

Before we get too bogged down in the details here, one thing is clear enough – we need to wait for reviews before we get anything approaching a fully rounded picture of RTX 5000 performance. Which, of course, is always the case.

Still, there remains an inescapable feeling Nvidia is hiding something with the heavy slant towards MFG in this generation’s prerelease buildup – a lesson for Team Green to be more even-handed with its marketing efforts next time, perhaps. And of course, we don’t know how MFG is going to pan out in its execution and smoothness yet, either, for those PC games that do use the shiny new tech.

There are still a lot of unknowns, although all these questions will be answered soon enough. In theory the RTX 5090 review is coming next week, if the rumors prove to be correct.

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