aleqs

9 ms·

1. 121.▲
   by aleqs 6mo ago

   The problem is, in the minds of these people 'firing at 100% all the time' generally means doing busywork and/or thinking of ways to cheat/manipulate their customers and the market for maximum gain whole delivering minim
2. 122.▲
   by aleqs 6mo ago

   I think the problem is even more general than that, and has existed since before LLMs. All of the decision makers are incentivized to chase short term gains and ignore everything else. Many tech companies already had huge gaps in knowledge
3. 123.▲
   by aleqs 6mo ago

   I think intelligence per compute will go up significantly in the coming years, while the cost per compute will drop significantly. No way to know for sure, so I guess we'll see
4. 124.▲
   by aleqs 6mo ago

   Indeed, I feel like we are in the early computer equivalent phase of AI, where giant expensive hardware is still required for frontier models. In 5 years I bet there will be fully open models we'll be able to run on a few $1000 of cons
5. 125.▲
   by aleqs 6mo ago

   The usage metering is just so incredibly inconsistent, sometimes 4 parallel Opus sessions for 3 hours straight on max effort only uses up 70% of a session, other times 20 mins / 3 prompts in one session completely maxes it out. (Max x2