484 karma · joined June 27, 2022
Scientist Ruth Itzhaki spent years studying a far more promising theory of Alzheimer's: that it's caused by viral infection in the brain, particularly HSV-1, best known for causing cold sores. Most have it, so there are clearly other factors at work, likely related to susceptibility in particular individuals to to the virus infecting the brain and spreading over time. See https://pubmed.ncbi.nlm.nih.gov/34205498/
The implication is that anti-viral treatments are likely to inhibit and potentially cure Alzheimer's. There is already unintended evidence along these lines, both via antiviral drugs and vaccines.
Then it shows the full resolution models, which are completely unnecessary to run quality inference. Quantized models are routine for local inference and it should realize that.
Needs work.
Two things jump out to me. First, there's a vast amount of information about morality in that internet-scale data dump. It's not some mystical thing orthogonal to knowledge, which ties directly into the second thing: maybe the author can't define it, but many others can and do, especially philosophers, though YMMV given which philosophy and philosopher.
viz: "What is morality, or ethics? It is a code of values to guide man's choices and actions—the choices and actions that determine the purpose and the course of his life. Ethics, as a science, deals with discovering and defining such a code."
There are different systems of ethics, and those themselves can be reasoned about. We should want one that values rational human life. And among that vast data dump, there's no doubt that those ethical ideas have been extensively written about - so it can be used as a reference point to actively emphasize and select the ideas.
"What We Built vs. Production Tools This is about 200 lines. Production tools like Claude Code add:
Better error handling and fallback behaviors Streaming responses for better UX Smarter context management (summarizing long files, etc.) More tools (run commands, search codebase, etc.) Approval workflows for destructive operations
But the core loop? It’s exactly what we built here. The LLM decides what to do, your code executes it, results flow back. That’s the whole architecture."
But where's the actual test cases of the performance of his little bit of code vs. Claude Code? Is the core of Claude Code really just what he wrote (he boldly asserts 'exactly what we built here')? Where's the empirical proof?