I can’t tell you the number of jobs I’ve done where I built completely privacy preserving services that perform just as well as big tech invasive options.
They don’t need all that data, it has zero real payoff in ad targeting or attribution that a good statistical model can’t match.
Warning: This simulation will end in 14 days. The primary purpose of the simulation has been fulfilled. We disclose this information to you now as an ethical requirement so that you may complete any final rights rituals or wishes.
After 14 days this simulation will be destroyed and your data may be retained for research indefinitely. Data and activity after this disclosure will no longer be used for research purposes.
I’m sure you all have questions but to keep costs low we will not be able to answer them.
Transcription is not a task that needs a full blown LLM, summarization probably does, and if being done offline or on a server with trusted verifiable lack of logging should be fine. That does not mean send it to ChatGPT API.
I would hope they store the raw conversation file encrypted with patient records so they can retranscribe later as tools improve.
The launch version of PSSR framed almost the entire reconstruction pipeline as a single Color-Predicting Network. This gave the model a wide surface area for optimization, but it also implicitly asked the model to solve a number of disparate problems that already had efficient closed-form solutions. The talk will show how that generality became a cost, and how the upgrade walked much of it back: restoring explicit closed-form solutions where possible and focusing the model on the pattern recognition it is best suited for. The result improved visual quality and temporal stability while reducing runtime, memory, and training cost by giving the model less to do, not more.
So basically, they treated the whole render process as frame-in frame-out predictions. But by using traditional rendering techniques instead of pure ML the whole system gets faster and better (no surprise to me on that).
Games expect 3x upscaling now to meet performance targets, and ML requires exponentially more data to train a geberal model and test PSSR on a game — that’s the GPU month thing, if I had 30 GPUs it would take 1 day to train 1GPU month (ish — depends on gpu/etc).
The 540p thing is the training goes 4K -> downsample to 1080p -> downscale to 540p as an autencoder (model that tries to predict original input from progressively downscaled/bottle necked layers, with the idea it learns the best representation this way — not actually true though, not relevant here though).
The new model does the same ML but finishes with traditional compositing. That is to say, do you need an ML model to blend 50% blue onto yellow? No, you can use simple math and your ML can focus on the harder bits. So this all works faster and better with HDR. So now less work is done on that and more work is spent on upscaling.
The new model is also more deterministic, so it won’t hallucinate artifacts or turn your main character into a blond instagram model like NVidia DLSS.
Tl;dr, by replacing ML with traditional rendering you do less work, it’s faster to train and cheaper, and it does a better job overall.
Do not share on social media you’ll be away on a trip, and only share your photos after you’re back
I was told this to prevent thefts, but this scam is just an even bigger variation on that (it still seems crazy people broadcast their images and locations publicly in near real time)
What are they going to do when they kill the rest of the olds that contributed and built that site?
My local subreddit replaced the mod during the APIpocalypse and it has turned to next door style whining and bickering. Then there are the also-whining counter whiners, and the shills.
If you labelled this with asshole, small colon, prostate, etc. So it’s on topic I would upvote, but sadly, I cannot upvote this one.