Persistent memory is the Achilles heel of AI.
Engramme’s Large Memory Models (LMMs) empower every app with persistent memory.
Google solved search. OpenAI solved language. Engramme solved memory.
Join beta: https://t.co/iN6ZgEVSxH
As a new parent, I spend a lot of time changing diapers and feeding the baby. 15 months ago I wasn't doing any of this. I felt busy then too, so where did all this childcare time come from? I analyzed the Census Bureau's American Time Use Survey to find out how most parents do it. The answer: less sleep and less screen time. The funny thing is, parents report being pretty happy about this tradeoff.
Frontier LLMs achieve an automation rate of ~2.5%.
I'm sure that Devin, the world's first AI software engineer, is much, much stronger, right, @cognition? Much, much stronger.
LLMs cannot distinguish between major and minor issues, or between major and minor changes. This is why, if you ask it to find issues in an application that doesn't have major issues, the LLM will still find some and explain why they are major, even if the "issue" is the name of a file which is "confusing".
A typical example of an LLM's inability to prioritize: you ask to fix an issue in the application, and the issue is that the frontend reads from a wrong database column. Instead of fixing the frontend code, it might carelessly suggest renaming the database column.
مارک ویتمن، فیلسوف و متخصص روانشناسی شناختی، در این نوشتهی کوتاه استدلال میکند که فیزیکالیسم (حتی در میان دانشمندان) در حال افول است و نظریههای جایگزین در حال شکلگیری است. فیزیکالیسم تقلیلگرا میگوید که آگاهی را میتوان بر اساس ماده تبیین کرد. https://t.co/ycjsrX5MO4
Spain's strong economic growth has been due to two major drivers, government consumption and services exports (tourism). Investment has been weak. Private consumption is not very strong, but doing better than in other € countries.
chart via @DanielKral1