drorlb

2/7 * Poll on AI control / willingness to speak about it * Here was one of the theses of the even: -- Most people working on AGI / AGI policy dont' believe it's realistic that sustained control of vastly posthuman AGI is realistic Yet: -- People building AGI (labs) often talk about AGI futures as if there is definitely a role / respect for humans in perpetuity (even thought few of them beleive it) -- People working on AGI policy often frame it as an eternal control mechanism (even though they don't suspect that's possible) We ran a poll of our attendees, and found: -- People who don't think we're going to be able to maintain control of AGI are nearly 2x more liekly to remain silent about this belief that people who believe we *will* likely be able to control AI. Being a Worthy Successor event, we had a lot of ppl who didn't think AGI is controllable, so we had a biased sample there. But also (even tho the event was private / we don't release names), the people who went to the event we would expect to be more "vocal," so we expect that the actual % of people who stay silent about their belief that AGI is fundamentally uncontrollable is potentially much larger than 2x more than those who stay silent about their beliefs but think AGI is long-term controllable.

Good read. FV isn’t perfect but you should do it anyway

i didn’t realize how bad it was until i saw this comment section on instagram

Database table size impacts performance in more ways than one: a) B-tree depth. Using 8k pages and a 16b uuid: 1 level = ~370 rows 2 levels = ~138k rows 3 levels = ~50m rows 4 levels = ~20b rows The lookup cost on a table with 100k rows is not the same as one with 1b rows. This can apply both to the table itself (MySQL cluster index) as well as the indexes. Sometimes a single query requires many of them. b) Small table → fits in RAM → fast reads. The larger the table, the more likely to read from disk plus churn the cache. c) # of indexes. Each adds maintenance overhead for insertions, and for Postgres vacuum overhead as well. Keep an eye on this! It's useful to take regular stock of your tables + indexes. Clean bloat. Remove unused indexes. Partition if needed.

Demis Hassabis: "Kids these days could start a multi-bn dollar business using these AI tools in some new way that no one had thought about." Labs are focused on shipping better models, not exhausting their applications, so there's room for new products

UPDATE: We were able to replicate the Mythos findings using existing models (GPT5.4) Writeup coming early next week, no BS prompts, it's real reproduction

Exactly. AI people don't just *predict* that AI will make humans unemployable. They make it their explicit corporate goal! OpenAI's corporate mission is to create "AGI", which they define as something that can do any human's job!