Can someone also comment on how secure the built in password in manager in Firefox is to unsophisticated malware attacks that simply copy your browser extension data and such. Compared to bitwarden which requires a password to unlock it, and as I understand stores everything encrypted on disk.
I recently experimented with running llama-3.1-8b-instruct locally on my Consumer hardware, aka my Nvidia RTX 4060 with 8GB VRAM, as I wanted to experiment with prompting pdfs with a large context which is extremely expensive with how LLMs are priced.
I was able to fit the model with decent speeds (30 tokens/seconds) and a 20k token context completely on the GPU.
For summarization, the performance of these models are decent enough. However unfortunately in my use case I felt using Gemini's Free Tier with it's multimodal capabilities and much better quality output made running local LLMs not really worth it as of right now, atleast for consumers.
1. Recursively lookup DNS, so domains will have to be blocked at the registrar level, since DNS is unencrypted, it can be blocked at ISP level as well.
2. Use a protocol alternative to DNS, a good mature example is GNS. It aims to replace DNS, with a built from group up, modernish protocol. Using a DHT and public-key cryptography.
3. There are "block chain" solutions to the whole domain problem, look at Handshake, ENS etc.
Are there any observable effects of such events that I can see on everyday equipment? Something like increased Bit Flips caused by Cosmic Rays or such?
I really shouldn't be the one to doubt, considering the size we've seen computers go from and to. But is it even possible to fit all that in that size? Like as I understand optics limits a lot about how far the screen has to be, even with the use of lenses. And it wouldn't be fully passthrough if they use the Google glass like approach as I understand?
EDIT:
Just made a quick and dirty pull request, a live version here: https://brushpaint.pages.dev/
Now If someone puts more time into this they could: Add support for tilted pens (Change bristle direction based on tilt, my pen doesn't support tilt.)
Also the scaling is linear, which is probably not perfect.