It looks like the future for laptops is ARM. I hope Lenovo makes a ThinkPad with this chip, there already is a ThinkPad with a Snapdragon SoC (ThinkPad X13s), but from what I have read it's not very good. I considered getting a MacBook to use with Asahi but some important features are still unsupported (like HDMI output support).
I did something similar for Instagram on android few years ago. The usual methods for bypassing certificate didn't work on Instagram, they were statically linking openssl into a shared library called libcoldstart.so. I Spent some time reading openssl documentation and ended up installing a hook to the function that configured the certificate verification.
In case you are curious. I used Frida for installing hooks to native functions.
The deal breaker with obsidian for me is that it is not opensource. It's great that it's at least using a markdown derivative format.
I am using Emacs Org Mode and quite happy with it. You can link different files, include images, embed and view LaTeX, encrypt your notes with GPG and much more. I think it will stand the test of time better than Obsidian which is something I care a lot for note taking and journaling.
- Not sure if people would want to "talk to" a device in public.
- Anything and more that this device do can be done by a smart phone that people already have.
- I feel like people prefer using a UI interface instead of speech.An example to this behavior might be using delivery apps instead of calling a restaurant.
Wait why would you think this is would be related to Kyle?
Kyle's story was brewing from the moment GM appointed their attorney to manage Cruise - everyone knew there was gonna be restructuring of the executive team after the incident.
If anything, it was a convenient time for Kyle to step down as it wouldn't get a lot of prime time thanks to OpenAI drama.
On the other hand, if Kyle was ousted for pushing too hard too fast at Cruise, that seems like out of the frying pan into the fire. See https://archive.is/Vqjpr
Took a peek at the models they use. It seems to be a vision transformer encoder decoder architecture with a resent backbone. Looks really good. I had a similar idea of training a model and making a desktop application, but haven't had the opportunity. I wonder how much compute it took to train the model.
Want to give proper credit to my former student for starting this: Yuntian Deng et al., 2016 (https://arxiv.org/abs/1609.04938). I believe this repo uses the dataset from that paper.
Hello HN, I am graduating in a few months, last summer I was an SWE intern at Google before that I did a Google Summer of Code with the LLVM foundation working on the inter-procedural optimizations. I enjoy taking on deeply technical challenges. Although I have more professional experience towards low level programming. I enjoy experimenting with Deep Learning in my spare time. I am also very interested to learn more about finance when I have time.
Location: Turkey
Remote: Ok
Willing to relocate: Yes (Prefer to)
Technologies: C/C++, LLVM, Compilers, Python, Deep learning(Mainly Tensorflow but Torch is Ok), TS, JS, Rust(Intermediate).
Here are is docs for hopper(sm90a) https://kuterdinel.com/nv_isa/
and here is for 4090 (sm89) https://kuterdinel.com/nv_isa_sm89
I am here to answer your questions if you have any!