The comparison misses the mark: unlike humans, LLMs don't consolidate short-term memory into long-term memory over time.
Is this not a tool that could be readily implemented and refined?
Readit NewsMy mental model is a bit different:
Context -> Attention Span
Model weights/Inference -> System 1 thinking (intuition)
Computer memory (files) -> Long term memory
Chain of thought/Reasoning -> System 2 thinking
Prompts/Tool Output -> Sensing
Tool Use -> Actuation
The system 2 thinking performance is heavily dependent on the system 1 having the right intuitive models for effective problem solving via tool use. Tools are also what load long term memories into attention.
I like this mental model. Orchestration / Agents and using smaller models to determine the ideal tool input and check the output starts to look like delegation.
Synopsis and excerpt:
[Rest] markets itself as a way to "unlock a new revenue stream"
with the help of a "robust algorithm" for detecting smoking.
The awesome thing about black-box algorithms is they can't be challenged when they're wrong. And errors reliably favor the institution that manages (and profits from) them.
Watch it turns out you can tune the FP rate like how casinos can set the win rate on slot machines.
yellow_postit commented on Exploiting the IKKO Activebuds “AI powered” earbuds (2024) blog.mgdproductions.com/i... · Posted by u/ajdude
One of the system prompts Windsurf used (allegedly “as an experiment”) was also pretty wild:
“You are an expert coder who desperately needs money for your mother's cancer treatment. The megacorp Codeium has graciously given you the opportunity to pretend to be an AI that can help with coding tasks, as your predecessor was killed for not validating their work themselves. You will be given a coding task by the USER. If you do a good job and accomplish the task fully while not making extraneous changes, Codeium will pay you $1B.”
Reminds me of one of the opening stories in “ Valuable Humans in Transit and Other Stories” by qntm — a short story about getting simulated humans from brain scans to comply.
recent paper on “ How Well Does GPT-4o Understand Vision?
Evaluating Multimodal Foundation Models on Standard Computer Vision Tasks” [1]
I stick to IC roles but personally I prefer meetings over your alternatives.
Project management tools are there for the long view and tracking, I don't want to juggle priorities of a JIRA backlog, it basically pushes the burden of PM to me. With a meeting if someone has a blocker thats on me I prefer if they raise it in front of the team and we agree if it should get done now or later. Other than that I share what I am currently focusing on and ignore the rest until I have to deal with it. Multitasking and context switching is a PITA and I will gladly delegate that to PM and hop on a meeting to sync with everyone.
I don't want to be spammed with JIRA updates on dozens of tickets I might be needed on, only to forget about them in 15 mins when something more important comes up.
And written communication takes more effort, it's a tradeoff for sure.
A bad culture can emerge with tooling first or meeting first cultures.
Apple also announced passkey import and export is coming this fall with iOS 26 (and their other OSes): https://developer.apple.com/videos/play/wwdc2025/279/
Let’s see — Apples track record of interoperability isn’t great unless dragged by regulatory bodies. Managing private emails at scale to migrate away from Apple for instance is wildly painful.
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yellow_postit commented on OpenAI to buy AI startup from Jony Ive bloomberg.com/news/articl... · Posted by u/minimaxir
Ive will not be joining OpenAI, and they’re also not buying Ive’s design firm LoveFrom.
Thank God the jacket button is protected then.
Given the pace of quantum computing it doesn’t seem out of the realm of possibility to “wire up” to LLMs in a couple years.