Most AI at work is still single-player. The gains stay trapped with each individual. Nothing compounds across the team.
Today, we're announcing @DustHQ $40M Series B to scale multiplayer AI: humans and agents working in parallel, with shared context, shared tools, and shared goals. 🧵
What should designers produce to help teams decide faster? We've been running an experiment at Dust. Field report by our very own @duncid: https://t.co/exY8dMJr8e
At Dust, our default design artifact is a prototype, not a mockup. Here's a practical breakdown of the workflow, the tools, and the trade-offs. https://t.co/AGBfoyMR6p
Build vs Run and zero-sumness: a simple framework to reason about how to scale teams post artificial intelligence abundance.
Will AI annihilate all head-counts? I posit it's not quite the case especially for run functions that are inherently a zero-sum game in the market.
https://t.co/m5O8Oc0xh5
❓ Can AI assistants really transform how we work?
Find out in the latest episode of AI Unveiled with @gkotak, featuring @gabhubert, Co-Founder & CEO of @dust4ai.
In this episode, they cover:
✨ The 3 pillars of a successful AI tool: intelligence, ubiquity, and agency
✨ What benefits teams need to see in order to adopt your AI assistant
✨ Why a toolbox of specialized tools is the future of work
Click here for the episode: https://t.co/uaEXcs8AnI
J’ai un peu encore testé https://t.co/Q1BneI41h0 ce weekend en partant d’images que j'ai crée pour illustrer un scénario de jeu de rôle sur lequel je travaille (une sorte de version Pulp de Cthulhu se passant dans les années 30, uniquement basée sur des cartes à jouer).
📈sitrep
weekly (5 days active users / week)
weekly (5 days active assistants / week)
It's not just about the # of power users but also the # of power assistants 🦾
Proof that one assistant does not cut it.
Dust is the platform to orchestrate them all.
Dust supports the latest models.
Our paying users can build assistants with access to their company data based on GPT-4, Mistral Large or Claude 3 Opus.
What will you do?
Exciting News from Dust! ✨
Table Queries is our latest feature designed to change the game for quantitative analysis with LLMs.
https://t.co/VDQ7YOivSR
The core motivations behind building Dust, how we believe the generative AI ecosystem will evolve and why we are building products at the intersection of models, human and productivity
https://t.co/Z4WT3KmSZa
⤵️ List of the main hypotheses we made so far