Bitchat – A decentralized messaging app that works over Bluetooth mesh networks
github.com
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github.com
Intel's Lion Cove P-Core and Gaming Workloads
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Building the Rust Compiler with GCC
fractalfir.github.io
The first time I was almost fired from Apple
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A non-anthropomorphized view of LLMs
addxorrol.blogspot.com
High Performance Image Sensor Processing Using FPGAs [pdf]
oda.uni-obuda.hu
Crypto 101 – Introductory course on cryptography
crypto101.io
Why English doesn't use accents
deadlanguagesociety.com
Opencode: AI coding agent, built for the terminal
github.com
Nobody has a personality anymore: we are products with labels
freyaindia.co.uk
Swedish Campground (2004)
folklore.org
LLMs should not replace therapists
arxiv.org
There's a COMPUTER inside my DS flashcart [video]
youtube.com
Async Queue – One of my favorite programming interview questions
davidgomes.com
Thesis: Interesting work is less amenable to the use of AI
remark.ing
Get the location of the ISS using DNS
shkspr.mobi
Backlog.md – Markdown‑native Task Manager and Kanban visualizer for any Git repo
github.com
Portability of Tar Features
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Uncommon Uses of Python in Commonly Used Libraries (2022)
eugeneyan.com
Functions Are Vectors (2023)
thenumb.at
As a non expert, I found this fascinating. They compared mechanistic verification with 3 assessors, and seem to be saying it's at least as good.
They also make their scripting available.
On the whole I'd be more interested in how they rank the various consumer services (grok especially) for "truthiness" but perhaps laying the groundwork by establishing how mechanistic verification performs, is a necessary precursor.
Essay writers beware! Those cites are going to be more checked than before.