Building Products at Slack 🏗️
Recently Slack announced launch of Slack Huddles, a lightweight, audio-first way to communicate inside a channel or direct message. Huddles addresses the need for fast, ambient, and informal discussions — spontaneous conversations that would happen in hallway encounters or at coworkers’ desks. These chats form the connective tissue of essential work, living somewhere between asynchronous messaging and synchronous meetings.
It’s the stuff too urgent, trivial, or nuanced for a typed-out message, but not something that merits (or can wait for) a scheduled meeting. I encourage you to read Slack’s blog post to learn more about Huddles, video, voice, and screen-recording clips, and the other features1 included in today’s announcement.
For me, the launch was a perfect excuse to ask for a glimpse into Slack’s product culture. Slack’s VP of Product Noah Weiss and Senior Staff Product Designer Anna Niess were gracious enough to talk to me about Huddles and how product development works at the company. (Disclosure: I’m an investor in Slack through my time at GV and have worked with the company in various capacities since 2014.)
Time To Read: 8 Minutes
Published: December 2021
Link: Building Products at Slack 🏗️
Did a human write that, or ChatGPT? It can be hard to tell — perhaps too hard, its creator OpenAI thinks, which is why it is working on a way to “watermark” AI-generated content.
In a lecture at the University of Austin, computer science professor Scott Aaronson, currently a guest researcher at OpenAI, revealed that OpenAI is developing a tool for “statistically watermarking the outputs of a text [AI system].” Whenever a system — say, ChatGPT — generates text, the tool would embed an “unnoticeable secret signal” indicating where the text came from.
OpenAI engineer Hendrik Kirchner built a working prototype, Aaronson says, and the hope is to build it into future OpenAI-developed systems.
Read More: OpenAI’s attempts to watermark AI text hit limits 🤖
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