All of Samuel Clamons's Comments + Replies
Late to the party, I know, but I just got my copies and really looking forward to reading them! I really miss the tiny form factor of "Maps that Reflect the Territory" though, they really felt elegant in a way the more recent ones don't.
I hope we get to see grades for these comments from at least EY and PC.
~1 hour's thoughts, by a total amateur. It doesn't feel complete, but it's what I could come up with before I couldn't think of anything new without >5 minutes' thought. Calibrate accordingly—if your list isn't significantly better than this, take some serious pause before working on anything AI related.
Things that might, in some combination, lead toward AI corrigibility:
- The AI must be built and deployed by people with reasonably correct ethics, or sufficient caution that they don't intentionally implement a disastrously evil morality.
- No amount of AI sa
Most of the discussion I've seen around AGI alignment is on adequately, competently solving the alignment problem before we get AGI. The consensus in the air seems to be that those odds are extremely low.
What concrete work is being done on dumb, probably-inadequate stop-gaps and time-buying strategies? Is there a gap here that could usefully be filled by 50-90th percentile folks?
Examples of the kind of strategies I mean:
- Training ML models to predict human ethical judgments, with the hope that if they work, they could be "grafted" onto other models, a
Hey, sorry for the long time replying - last I checked, it was a few hundred $s to sequence exome-only (that is, only DNA that actually gets translated into protein) and about $1-1.5k for whole genome - but that was a couple of years ago, and I'm not sure how much cheaper it is now.
To clear up a possible confusion around microarrays, SNP sequencing, and GWAS - microarrays are also used to directly measure gene expression (as opposed to trait expression) by hybridizing mRNA extracted from a tissue sample and hybridizing that against a library of known RNA sequences for different genes. This uses the same technology as microarray-based GWAS, but for different purpose (gene expression vs. genomic variation), and with different material (mRNA vs amplified genomic DNA) and analysis math.
Also, there's increasingly less reason to use microa...
~2 hours' of analysis here: https://github.com/sclamons/LW_Quest_Analysis, notebook directly viewable at https://nbviewer.jupyter.org/github/sclamons/LW_Quest_Analysis/blob/main/lw_dnd.ipynb.
Quick takeaways:
1) From simple visualizations, it doesn't look like there are correlations between stats, either in the aggregated population or in either the hero or failed-hero populations.
2) I decided to base my stat increases on what would add the most probability of success for improving that stat, looking at each stat in isolation, where success probabiliti
Small nitpick, half a decade late: bottlecaps are arguably proportional controllers—the pressure they exert on the inside is proportional to the pressure applied by the inside, until the bottlecap hits a performance limit and breaks.