Recent content by LukeTbk

I am not sure of the point trying to be made, yes the neural rendering model to estimate what the denoising of the pathtracing should look like, subsurface and material details inference (guessing) is what make things look more attractive, filter is a wrong word for this, filter are purely...

You can use the trademark but not the copyrigthed affair which would be many surrounding an IP. Trademark that really limited, logo-symbols-catch phrase related to the game. Copyright cover the games itself, the characther, world, storylines, arts, that copyrighted by default with the 75 years...

That a bit of a strange take. State will never care about IP in that sense, the 75 years is already in place, there is zero societal-public good reason to care about any of this particularly like a new more efficiant refrigeration system, the law will not force George R.R. Martin to ever finish...

I think the RT-lighting noisy passes are one of the DLSS5 input it can receive too, that why it does not have to pay much attention because it has the game raytracing engine that did it already, like for DLSS RR api, the result of those rays and what those light position/bounce mean has been...

you said they claim that only 33% are from AI (AI is not just frontier labs and hyperscalers of course, sovereign build out are a major buyer for example, so are large enterprise building their own infracstructure). They do not claim that only 33% of their revenues are from frontier labs and...

The link seem to be about Taiwan stopping some consolidation in the Uber eat sector.... https://www.reuters.com/business/retail-consumer/bytedance-alibaba-tencent-place-over-35-billion-worth-nvidia-chip-orders-2026-10-20/ 21,760, that the 5090 core counts... could be simply why it felt like...

That the complete shift, during the CD eras, tours where giant ads for physical music sales that more than doubled all other revenues. Now, streaming bring very little and are ads for the tours, where they can sales live experience and physical items. Streaming are maybe a 5th of the revenues...

The performance impact for people being able to run this and giving feedback seem to be massive too, not sure how much the claims from the modder are actually true here.

the reinforcement learning stage: https://en.wikipedia.org/wiki/Reinforcement_learning that make it possible for an human or agents to make a loop where they make small change to a code base and score the results (what the compiler tell them, does the feature work, how attackable the code is...

it is not usually to increase their revenues then being force into that model by consumer-technological change. The music production industry was making way more revenues from CD than streaming, the movie industry way more revenue from Dvd then streaming, those shifts have been massive revenues...

When they classify giant amount of open source code, there is signal, large quantity of tests and well made CI/CD pipeline will tend to point out this is modern-some effort repository. They also have curated training set (say a Meta, google, microsoft, they have very well paid teams that are...

If intel compute foundry get going and good enough for GPUs, the memory bottleneck will still be the same for them, it is way more memory the issue than die silicon, the AI industry do not consume that much of the world compute wafer capacity versus say the 900 millions smarthphone being sold in...

True ebay price are quite higher, but faecbook local marketplace deal can be better deals, less of a big buyer base/bots, etc... chasing those, the video is already 3 weeks old, could have been ~2 months ago purchasse.

66% from AI is different than 33%, you probably made a typo, your original statement was: claiming that only one third of their revenue comes from it. Instead of: only a third of their revenues is not from it. The pace is certainly good enough for it, has long revenues continue to grow faster...

Which is really different than only 33% come from AI, more closer to 66%. That 33% would become blurry, "traditional" machine learning/big data/sql/parrallel compute transistion away from CPU toward GPU are of course a big thing, but they are often AI issh. non generative AI could be a cleaner...