# forck.live — 28 March – 3 April 2022

> AI lab announcements, news reports and podcasts.

forck.live follows what companies announce about their own products. Press may
corroborate an official story; it never leads and never appears as an item of its
own. A missing date stays missing. A title is the publisher's words — where a
company does not publish in English, an English rendering is listed separately
as `Title in English` and named as this site's translation, never as theirs.

This file is one issue of the weekly archive: every confirmed
first-party announcement of ISO week 2022-W13, 28 March – 3 April 2022, newest
first. The window never moves, so this URL always names the same seven days —
but a post published inside them and detected later is added when it arrives,
so a closed week can still gain entries.

Every entry is one first-party announcement, and carries the same eight fields
in this order before any others:

    Company · Announced · Category · Coverage · Announcement · Group · Source · Record

`Source` is the company's own page the announcement was traced to and `Record`
is this site's page for it. Both are safe to cite.

`Coverage` is a number of outlets, or `not counted` — which means this record
reached no count of its own, never that nobody wrote about it.

`Category` is this tracker's own analysis, and is authoritative wherever it is
stated. `not stated` means either that nothing has analysed the post yet or
that the analysis placed it outside this taxonomy; neither is a verdict about
the announcement.

`Announcement` is whether the post is news of something the company did, rather
than a how-to, a customer story, a changelog listing or a staffing note.

`Group` is which of this record's groups the entry falls in, carried on the
entry itself so it holds where the groups are headings and where they are not.
One of: `models`, `covered`, `announcements`, `routine`.

Anything after `Record` is held detail that only some announcements carry.

- This week's page: https://forck.live/week/2022-W13
- The current issue, and the catalogue of the other weeks: https://forck.live/briefing.md
- Catalogue: https://forck.live/llms.txt

## Announcements

### Replit — We Built a Search Engine

- Company: Replit (replit.com)
- Announced: 2022-03-31
- Category: not stated
- Coverage: not counted
- Announcement: yes
- Group: announcements
- Source: https://replit.com/blog/search
- Record: https://forck.live/items/18081-we-built-a-search-engine
- Subject: Replit Agent

For the past few months, we have been building a Replit-native search engine. It is remarkably powerful, and we are really excited for you all to try it out. We believe that you should be able to find anything on Replit in less than 30 seconds. This might sound simple, but when you have 100 million+ Repls, it becomes complicated. :) When you search for something on Replit today, you'll see a page with relevant results from the following categories: Repls Templates Code (yes, code) Users Community content (published repls, posts) Our docs Community tags Why we built it We think that being able to search for stuff is important. Searching can help you find inspiration, discover other users, and even learn how to code. Prior to this update, there was no effective way for users to find anything on Replit. You could only search through the names of Repls that you owned. Even then, you had to type the exact string match to get any results. We have known for a while that the search experience needed to be updated, but for much of last year we focused on more critical projects. (Workspace stability, abuse, etc.) …

### Hugging Face — Introducing Decision Transformers on Hugging Face 🤗

- Company: Hugging Face (huggingface.co)
- Announced: 2022-03-28
- Category: capability-change
- Coverage: not counted
- Announcement: yes
- Group: announcements
- Source: https://huggingface.co/blog/decision-transformers
- Record: https://forck.live/items/2217-introducing-decision-transformers-on-hugging-face
- Subject: Platform

Hugging Face announces the integration of the Decision Transformer, an offline reinforcement learning method, into the transformers library and the Hugging Face Hub, along with nine pre-trained model checkpoints for continuous control tasks.