farhanhubble

This is cool and I understand the RAM emulation with gated attention but how does the CPU emulation wor? You add layers that are then trained to predict outputs while interpreting RISC instructions?

That's interesting. So, filling in details on demand with something like Gaussian splats and then backfilling them later on could save a lot of "wasted" time.

I kind of expected this. Fine-tuned models, among other tools, should be used by LLMs to interpret nuances in images. Just as I wouldn't trust LLMs to interpret a complex mathematical formula without it having access to Lean and other methods to check its reasoning.

Why was anyone using certificates from a little known company with no cybersecurity muscle?

I know it's open sourced, but I'd love for the author to launch a Kickstarter product.

The way AI has consolidated power away from the hands of a few hundred large organization to a few dozen needs to be attacked. We need to build peer distillation networks. We need to be able to train frontier models in the open and design hardware for open inference.

As much as I detested the idea of Leetcoding the reason they became the de-facto for hiring was two fold:

- Software development for the most part did not require any particular specialization but it paid really well because of the explosive growth of the internet so there was an oversupply of talent.

- Most companies had no idea what they wanted from hires and how to test them so started copycat-ing puzzle based and algorithm and data science questions from the days when programming was mostly numerical computing

It devolved into a race to the bottom as more and more people lured by the 300k packages lined up and companies well aware of "No Silver Bullet" threw these people at increasingly menial tasks.

Companies at Leetcode and Hackerrank have no relevance now that you can ask an AI agent to do a hyper specialised candidate selection based on the role, with most roles now being redundant every six months.

Far from a breakthrough but being able to talk to embedded medical devices on the fly made me excited. The real test will be hardware debugging.

Lisp may not have the ecosystem to compete with Python or JS. On a tangent though, I am in the middle of a mini experiment with Codex that stemmed from trying to understand the beauty of SectorLISP and is now headed towards: "What would it take to build a toy OS for RISC V using successively richer evaluators?".

Both pure vegan and pure meat camps claim to have scientific evidence that it works, which make me question if change is what the body responds to. From personal experience, eating less often and fasting does seem to improve things like brain fog, indigestion etc.

Just a few days ago I was pondering why an Emacs like environment that provides such powerful tools to examine and manipulate texts is not being used more prominently than say VSCode where you need to be build many features or use plugins or rely on system utilities.

I made the same point to an academician who was dejected about the prospects of future PhDs and Postdocs. My personal belief is that AI opens the gate for more unconventional and interdisciplinary research.