šØBREAKING: US @NIST publishes 1st draft of its "AI Risk Management Framework: Generative AI Profile." Important information & quotes:
ā”ļøThis is a comprehensive document that contains an overview of risks unique to or exacerbated by generative AI (GAI) and an extensive list of actions to manage GAI's... See more
Great little write-up on Copilot Workspace that really differentiates from the rest of the market: https://t.co/bfvbYjpEa0
> Among all the talk of āagentsā, this need to design for this repeated AI-human divergence and alignment can be lost. If the AI is going to take steps towards a solution, it must ātake the human... See more
"We hope that such tools may help us to gain novel insight into the psychology of an understudied pool of humansānamely, the dead"
Overview of work on HLLMs - language models trained on historical texts to simulate historical attitudes and perspectives. https://t.co/joGjm7brgs https://t.co/lg59eRS1So
Claude 3.5 Sonnet with Artifacts is a match made in heaven, here are some amazing ideas and examples:
Claude 3.5 Sonnet š§µ
1
Create a SpaceX Starship lander game in just a few messages with Claude 3.5 Sonnet plus Artifacts
š¹ Alex (alexalbert__)... See more
Proposing Ctrl-G, a neurosymbolic framework that enables arbitrary LLMs to follow logical constraints (length control, infilling ā¦) with 100% guarantees.
Ctrl-G beats GPT4 on the task of text editing by >30% higher satisfaction rate in human eval.
https://t.co/U6oz3bc935
navigating the latent space of colors šāØ
do LLMs āseeā colors differently from humans?
we perceive colors through wavelengths while LLMs rely on semantic relationships between words. to explore this, i mapped two color spaces: https://t.co/JSHCFjYu61
Introducing TerifAI (terrify) - the ai that steals your voice š±
It's an educational experience that shows why AI has become a catalyst to voice phishing.
Talk to TerifAI for about a minute and it:
- memorizes basic facts about you
- mimics your... See more