Eval-Apply

It might involve the Google Play Integrity API.

GrapheneOS officially passes only the MEETS_BASIC_INTEGRITY tier of the Google Play Integrity API and fails the MEETS_DEVICE_INTEGRITY and MEETS_STRONG_INTEGRITY levels.

Many banking apps I use in my country require this level plus something from the GPI API, which makes them unusable. You need a regular, unmodified smartphone to use them.

CUDA is partially open and partially closed.

Closed Core: Driver, compiler (nvcc), runtime, assembler (PTX/SASS). Closed Libraries: cuDNN, cuBLAS, OptiX.

Open Libraries: CCCL (Thrust, CUB, libcudacxx), CV-CUDA (Vision), CUDA-Q (Quantum). Open Tooling: CUDA Python bindings, NVIDIA Kernel Module (Linux driver outer layer).

Nvidia is working with Red Hat to develop the NOVA driver and with Valve to develop NVK, which will be the future open-source drivers.

Nvidia supported the Pascal architecture for 10 years. No other graphics company did that. AMD recently made the RDNA 2 architecture legacy after only 5 years.

Nvidia is that most promotes open models and contributes significantly through Nemotron and various hardware-level optimizers. I think the value has more to do with the potential dominance of the open model ecosystem.

https://x.com/ctnzr/status/2072715518373777812

>Is your theory that rust makes people dramatic? Or that dramatic people like rust? What other options are there, if not coincidence?

There is a cognitive bias called "loyalty to the brand", in which it says that people prefer the things they have because they rationalize their choices to protect their sense of ego. When they invest time (or a lot of money) to something, they create an emotional connection, especially if that was a choice and not something imposed on it. It is choosing one thing about the other that leads to narratives about why you have done a certain thing, something that is usually connected to your self-image.

There are a number of cognitive trends that converge to create this behavior. This assignment effect appears when you feel that the things you have are superior to things you don't have. Another bias is the fallacy of irrecoverable costs. This happens when you spend time or money on something you don't want to have or don't want to do, but you can't avoid. For example, imagine that you spent time studying Rust. You will be "hooked" on the idea that given the time spent in this, it is better to defend the language, even if you imagine that it is not for all things.

To combat post-decisional dissonance, the feeling that you committed to one option when the other option could have been better, you strive to feel justified as to what you selected to reduce the anxiety created when questioning himself. All this forms a gigantic group of neurological associations, emotions, details of self-image and trends around the things you have.

>By open sourcing so that others can adapt their approaches and improve their models to be as cheap?

But can they (americans) make cheap models? In my view, this was China telling investors to look at them instead of the americans. Add that to the 1 trillion yuan in investments the government has promised to make in AI, China is looking to demonstrate that it is in the game.

The article is interesting, raises doubts about DeepSeek’s narrative, particularly its claim of being built on a shoestring budget with outdated chips. Archer highlights the influence of the Chinese government in tech ventures and suggests that DeepSeek could be part of a strategy to disrupt U.S. tech markets, especially AI investments.

Archer also warns that if DeepSeek’s model is genuine, it could trigger a collapse of the AI bubble, similar to the dot-com crash, by flooding the market with unused Nvidia GPUs and slowing AI hardware demand. He concludes by questioning whether DeepSeek is a breakthrough or a strategic move by China to shift market dynamics.

I read a story last year from Techpowerup where they said that AMD is making big changes to the way it approaches technology, shifting its focus from hardware development to emphasizing software experiences, APIs and AI.

Roadmap: 3 to 5 years.

https://www.techpowerup.com/324171/amd-is-becoming-a-softwar...

Sony and Microsoft don't need to interact with AMD's software, they just use the hardware. Just see that Sony made its own upscaling software via ML and even created hardware with several pieces of RDNA architectures, so much so that they called it RDNA 2X (RDNA 2 (compute) + WMMA from RDNA 3 and RT from RDNA 4).