# forck.live — 20–26 June 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-W25, 20–26 June 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-W25
- The current issue, and the catalogue of the other weeks: https://forck.live/briefing.md
- Catalogue: https://forck.live/llms.txt

## Announcements

### OpenAI — Learning to play Minecraft with Video PreTraining

- Company: OpenAI (openai.com)
- Announced: 2022-06-23T07:00:00+00:00
- Category: research-paper
- Coverage: not counted
- Announcement: yes
- Group: announcements
- Source: https://openai.com/index/vpt
- Record: https://forck.live/items/902-learning-to-play-minecraft-with-video-pretraining
- Subject: GPT / ChatGPT / API

OpenAI trained a neural network to play Minecraft using Video PreTraining (VPT) on a large unlabeled video dataset of human play, with minimal labeled data. After fine-tuning, the model can craft diamond tools, a task that typically takes humans over 20 minutes.

### Hugging Face — Getting Started With Embeddings

- Company: Hugging Face (huggingface.co)
- Announced: 2022-06-23
- Category: not stated
- Coverage: not counted
- Announcement: no
- Group: routine
- Source: https://huggingface.co/blog/getting-started-with-embeddings
- Record: https://forck.live/items/2185-getting-started-with-embeddings
- Subject: Platform

A tutorial on understanding and using embeddings with the Hugging Face Inference API and Sentence Transformers library.

### Hugging Face — Convert Transformers to ONNX with Hugging Face Optimum

- Company: Hugging Face (huggingface.co)
- Announced: 2022-06-22
- Category: not stated
- Coverage: not counted
- Announcement: no
- Group: routine
- Source: https://huggingface.co/blog/convert-transformers-to-onnx
- Record: https://forck.live/items/2186-convert-transformers-to-onnx-with-hugging-face-optimum
- Subject: Platform

To convert Hugging Face Transformers models to the ONNX format using the Optimum library, covering three methods: low-level torch.onnx, mid-level transformers.onnx, and high-level Optimum API.

### LG AI Research — LG AI Research Presents Research Achievements at CVPR 2022 and Hosts 'LG AI DAY'

- Company: LG AI Research (lgresearch.ai)
- Announced: 2022-06-20
- Category: not stated
- Coverage: not counted
- Announcement: no
- Group: routine
- Source: https://www.lgresearch.ai/news/view?seq=216
- Record: https://forck.live/items/11070-lg-ai-research-presents-research-achievements-at-cvpr-2022-and-hosts-lg-ai-day
- Subject: EXAONE

LG AI Research presented 20 papers at top-tier AI conferences in the first half of 2022, including seven at CVPR 2022, where its independent paper on L-Verse, a super-giant multi-modal AI technology, was selected for an Oral Session presentation. The company also highlighted its commercialization of multi-modal AI through the Tilda fashion collection and announced talent recruitment and research collaborations, including the SNU-LG AI Research Center and LG AI Research Center, Ann Arbor.

### LG AI Research — LG AI Research Presents Research Achievements at CVPR 2022 and Hosts 'LG AI DAY'

- Company: LG AI Research (lgresearch.ai)
- Announced: 2022-06-20
- Category: research-paper
- Coverage: not counted
- Announcement: yes
- Group: announcements
- Source: https://www.lgresearch.ai/blog/view?seq=216
- Record: https://forck.live/items/4948-lg-ai-research-presents-research-achievements-at-cvpr-2022-and-hosts-lg-ai-day
- Subject: EXAONE

LG AI Research presented 7 papers at CVPR 2022, including an independent research paper on L-Verse, a super-giant multi-modal AI technology, which was selected for an Oral Session. The company also hosted 'LG AI DAY' and highlighted its research achievements, talent recruitment, and collaborations.