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microsoft
JARVIS
Python2023–2023
microsoft / JARVIS

JARVIS

JARVIS, a system to connect LLMs with ML community. Paper: https://arxiv.org/pdf/2303.17580.pdf

9Distinct people
9Mentions
0Explicit recommenders
25.6KGitHub stars
REPOSITORY AT A GLANCE

What to know before exploring

What it is

JARVIS, a system to connect LLMs with ML community. Paper: https://arxiv.org/pdf/2303.17580.pdf

GitHub

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, 3:56:07 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 week9 dated mentions

Observed mentions: 2023-03-31 18:40:29 UTC to 2023-05-04 18:59:36 UTC. Weeks start Monday, UTC.

0123452023-03-27 00:00:00 UTC to 2023-04-03 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 commentsMar 272023-04-03 00:00:00 UTC to 2023-04-10 00:00:00 UTC (exclusive): 5 mentions; 5 submissions, 0 comments2023-04-10 00:00:00 UTC to 2023-04-17 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 commentsApr 102023-04-17 00:00:00 UTC to 2023-04-24 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2023-04-24 00:00:00 UTC to 2023-05-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments2023-05-01 00:00:00 UTC to 2023-05-08 00:00:00 UTC (exclusive): 2 mentions; 0 submissions, 2 commentsMay 1

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
Mar 272023-03-27 00:00:00 UTC2023-04-03 00:00:00 UTC101
Apr 32023-04-03 00:00:00 UTC2023-04-10 00:00:00 UTC550
Apr 102023-04-10 00:00:00 UTC2023-04-17 00:00:00 UTC000
Apr 172023-04-17 00:00:00 UTC2023-04-24 00:00:00 UTC000
Apr 242023-04-24 00:00:00 UTC2023-05-01 00:00:00 UTC101
May 12023-05-01 00:00:00 UTC2023-05-08 00:00:00 UTC202

What Hacker News says

9 sources
Raw large language models have no inner-monologue or meta-cognition. But there are various systems which bolt planning and sub-goal systems onto LLMs.[1][2] Those have self-generated work, where LLMs generate tasks for subsystems, which return data used by the LLMS to generate further work. So they do have an inner monologue, which can be observed. There are also systems which summarize what the LLM has been doing and feed the summaries back into the LLM prompts. The idea is to create medium-term memories. When a query comes in, the most important and relevant summaries are fetched and fed back as prompts for the new query. Wolfram has bolted an LLM onto Wolfram Alpha. Microsoft has bolted an LLM onto Bing. This sort of thing is still rather ad-hoc at this point, but it sort of works. Things are moving fast. There are 2022 papers on how L
Read the rest
LMs can't plan, and 2023 papers on systems with LLMs that do. It's beginning to look like LLMs will be components of larger, more generally capable systems. [1] https://github.com/microsoft/JARVIS [2] https://arxiv.org/abs/2304.11477
In ChatGPT has no inner monologue or meta-cognition

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