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dust-tt
dust
HISTORICAL RECORD2022–2023
dust-tt / dust · Not publicly available

dust

Discover this repository through its Hacker News conversations.

Explore on GitHubRead Hacker News discussions
2Distinct people
2Mentions
0Explicit recommenders
REPOSITORY AT A GLANCE

What to know before exploring

What it is

A public description has not been verified.

Where it is used

No documented product use has been verified yet.

What people are saying

No recommendation phrase was found in the indexed comments.

No classified warning is attached to this page. Read the discussions before treating silence as approval.

Also in these discussions

No other repository is repeatedly linked in the same discussions.

This week on Hacker News

Nov 7–Nov 14 UTC · Direct repository links and separately labeled related project stories. Indexed through 11/14/2026, 5:04:57 PM UTC.

No direct repository links were found in the indexed HN discussions over the past seven days. Older discussions are available below.

Mentions over time

HN mentions by week2 dated mentions

Observed mentions: 2022-11-26 00:06:49 UTC to 2023-03-08 17:48:49 UTC. Weeks start Monday, UTC.

012022-11-21 00:00:00 UTC to 2022-11-28 00:00:00 UTC (exclusive): 1 mentions; 1 submissions, 0 commentsNov 212022-11-28 00:00:00 UTC to 2022-12-05 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2022-12-05 00:00:00 UTC to 2022-12-12 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2022-12-12 00:00:00 UTC to 2022-12-19 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2022-12-19 00:00:00 UTC to 2022-12-26 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2022-12-26 00:00:00 UTC to 2023-01-02 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2023-01-02 00:00:00 UTC to 2023-01-09 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2023-01-09 00:00:00 UTC to 2023-01-16 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 commentsJan 92023-01-16 00:00:00 UTC to 2023-01-23 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2023-01-23 00:00:00 UTC to 2023-01-30 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2023-01-30 00:00:00 UTC to 2023-02-06 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2023-02-06 00:00:00 UTC to 2023-02-13 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2023-02-13 00:00:00 UTC to 2023-02-20 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2023-02-20 00:00:00 UTC to 2023-02-27 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2023-02-27 00:00:00 UTC to 2023-03-06 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2023-03-06 00:00:00 UTC to 2023-03-13 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 commentsMar 6

Counts come from the repository’s dated source evidence. Index cutoff: 2026-11-02 08:16:59 UTC.

View mention counts and date ranges
UTC ranges include their start and exclude their end. Select a period to filter the source evidence.
PeriodStart (UTC)End (exclusive, UTC)MentionsSubmissionsComments
Nov 212022-11-21 00:00:00 UTC2022-11-28 00:00:00 UTC110
Nov 282022-11-28 00:00:00 UTC2022-12-05 00:00:00 UTC000
Dec 52022-12-05 00:00:00 UTC2022-12-12 00:00:00 UTC000
Dec 122022-12-12 00:00:00 UTC2022-12-19 00:00:00 UTC000
Dec 192022-12-19 00:00:00 UTC2022-12-26 00:00:00 UTC000
Dec 262022-12-26 00:00:00 UTC2023-01-02 00:00:00 UTC000
Jan 22023-01-02 00:00:00 UTC2023-01-09 00:00:00 UTC000
Jan 92023-01-09 00:00:00 UTC2023-01-16 00:00:00 UTC000
Jan 162023-01-16 00:00:00 UTC2023-01-23 00:00:00 UTC000
Jan 232023-01-23 00:00:00 UTC2023-01-30 00:00:00 UTC000
Jan 302023-01-30 00:00:00 UTC2023-02-06 00:00:00 UTC000
Feb 62023-02-06 00:00:00 UTC2023-02-13 00:00:00 UTC000
Feb 132023-02-13 00:00:00 UTC2023-02-20 00:00:00 UTC000
Feb 202023-02-20 00:00:00 UTC2023-02-27 00:00:00 UTC000
Feb 272023-02-27 00:00:00 UTC2023-03-06 00:00:00 UTC000
Mar 62023-03-06 00:00:00 UTC2023-03-13 00:00:00 UTC101

What Hacker News says

2 sources
deet·Mar 8, 2023
I've been following XP1 and I don't think they have nefarious goals with this. The extension is even open source (though not sure if the proxy is). Check it out here: https://github.com/dust-tt/dust/tree/main/xp1 I'm working on a somewhat related product (except bringing this assistant capability to all apps on your computer, all browsers, and using mostly on-device ML...waitlist in my profile in case you're curious) What we've discussed internally is having two modes for the cases where we do need network connection: 1) A turn-key, use-our-OpenAI/HuggingFace/whatever proxy that doesn't store anything, just adds our token and pays for it on your behalf 2) Bring-your-own key for each service The fact is that most users who just want to use these kinds of productivity tools might not have their own OpenAI/Azure/etc account, so offering opti
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on 1 and even defaulting to it is right for most end-users. I think XP1 is making the right call here with this default, though offering #2 would be nice! (edit: added Github link to XP1)
In Dust XP1 switches to GPT-3.5-turbo, is now free to use
subtech·Nov 26, 2022Submission

Show HN: Uminal – Large language model anyone can extend with new apps/skills

Hi HN! I’ve been working on a project called Uminal, which lets anyone extend GPT-3 with new apps & capabilities that auto-compose with each other. Short demo video: https://www.loom.com/share/211327fd8e854513b909b0f69eadd2f8 Online prototype: https://uminal.com These “apps” are similar to “Alexa skills” but they’re auto-composable (and a bit different in other ways), and enable GPT-3 to interact w/ the real world. These apps could be anything (as long as it’s accessible via an API endpoint). For example, these apps could be other LLMs (e.g., Galactica), apps built w/ LLMs (e.g., using something like LangChain [0] or Dust.tt [1]), or just plain old APIs (such as web search). Anyone can add new apps to Uminal by telling it how & when it should use the app’s API endpoint, and users can browse & enable apps for their account. Then, when proc
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essing a user’s input prompt, Uminal will automatically call any of the user’s enabled apps as needed, & compose their inputs/outputs together. It will fallback to GPT-3 whenever needed, as part of processing a prompt. It currently uses MRKL + GPT-3’s zero-shot reasoning to accomplish this, but I’m working to let users also teach it how to process sample input prompts, which would hopefully improve Uminal’s reasoning ability for everyone, using few-shot examples in a scalable manner. Can’t wait to try this on top of GPT-4! The project’s vision is to build an “intelligent computer” by letting anyone teach/extend LLMs to interact w/ the real world, similar to how iOS apps really expanded the capabilities of the iPhone. Would really love to hear any ideas/thoughts/honest feedback, etc.! My Twitter DMs are also open: https://twitter.com/subby_tech Feel free to join our Discord, if you have any questions/feedback or just wanna chat, etc: https://discord.gg/qczbX5rzD8 Project docs/readme: https://dent-mirror-a40.notion.site/Uminal-1d6b4b8fe22b42b28... Source code for the sample Uminal apps (web search, etc.): https://github.com/thecooltechguy/uminal-sample-apps Notes on using the online prototype: Once you sign in, go to the Apps page and enable "Web search" and "Work Q&A". The “Web search” app uses SerpApi to give GPT-3 internet access, while the "Work Q&A" app integrates with a sample company's Notion database to answer work-related questions (e.g., can I work from home?, etc.). Due to how SerpAPI works, if any queries involving web searches fail, you can try re-running them and it will usually work. Again, this is a super rough prototype hacked together in a few days, but would love to hear your honest thoughts/feedback/ideas! Thanks! :D [0] https://github.com/hwchase17/langchain/ [1] https://dust.tt — https://github.com/dust-tt/dust
3 points · Open discussion

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