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.
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.
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).
It uses a compiler pass to insert code to branch points functions calls etc.
I think it uses genetic algorithms to increase coverage by changing the data.
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!