# forck.live — 28 February – 6 March 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-W09, 28 February – 6 March 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-W09 - The current issue, and the catalogue of the other weeks: https://forck.live/briefing.md - Catalogue: https://forck.live/llms.txt ## Announcements ### OpenAI — Economic impacts research at OpenAI - Company: OpenAI (openai.com) - Announced: 2022-03-03T08:00:00+00:00 - Category: not stated - Coverage: not counted - Announcement: no - Group: routine - Source: https://openai.com/index/economic-impacts - Record: https://forck.live/items/916-economic-impacts-research-at-openai - Subject: GPT / ChatGPT / API OpenAI is soliciting expressions of interest for research on the economic impacts of large language models. ### OpenAI — Lessons learned on language model safety and misuse - Company: OpenAI (openai.com) - Announced: 2022-03-03T08:00:00+00:00 - Category: research-paper - Coverage: not counted - Announcement: no - Group: routine - Source: https://openai.com/index/language-model-safety-and-misuse - Record: https://forck.live/items/915-lessons-learned-on-language-model-safety-and-misuse - Subject: GPT / ChatGPT / API OpenAI shares lessons learned on language model safety and misuse to help other AI developers. ### LG AI Research — Special Training of LG AI Research for the Talents of LG Group, Grand Opening of LG AI Graduate School - Company: LG AI Research (lgresearch.ai) - Announced: 2022-03-02 - Category: not stated - Coverage: not counted - Announcement: no - Group: routine - Source: https://www.lgresearch.ai/news/view?seq=185 - Record: https://forck.live/items/11078-special-training-of-lg-ai-research-for-the-talents-of-lg-group-grand-opening - Subject: EXAONE LG AI Research opened the LG AI Graduate School on March 2, 2022, an internal education program for LG Group employees to develop AI talent. The school builds on a 2021 pilot program that graduated four trainees from LG affiliates. It will recruit 11 participants in 2022 and plans to expand to 30 by 2023, offering coursework in areas such as Computer Vision, Language, and Applied AI Research, with access to LG Group data and an LMS portal. ### LG AI Research — Special Training of LG AI Research for the Talents of LG Group, Grand Opening of LG AI Graduate School - Company: LG AI Research (lgresearch.ai) - Announced: 2022-03-02 - Category: not stated - Coverage: not counted - Announcement: no - Group: routine - Source: https://www.lgresearch.ai/blog/view?seq=185 - Record: https://forck.live/items/4961-special-training-of-lg-ai-research-for-the-talents-of-lg-group-grand-opening - Subject: EXAONE LG AI Research announces the grand opening of LG AI Graduate School, a special education program to train AI talents within LG Group, building on a successful pilot program from 2021. ### Hugging Face — BERT 101 - State Of The Art NLP Model Explained - Company: Hugging Face (huggingface.co) - Announced: 2022-03-02 - Category: not stated - Coverage: not counted - Announcement: no - Group: routine - Source: https://huggingface.co/blog/bert-101 - Record: https://forck.live/items/2224-bert-101-state-of-the-art-nlp-model-explained - Subject: Platform BERT, a bidirectional transformer model from Google AI Language, its architecture, training data, and applications in NLP tasks. ### Replit — Kaboom Draw - Company: Replit (replit.com) - Announced: 2022-02-28 - Category: not stated - Coverage: not counted - Announcement: yes - Group: announcements - Source: https://replit.com/blog/kaboomdraw - Record: https://forck.live/items/18088-kaboom-draw - Subject: Replit Agent Programming is hard, especially for beginners where the code <-> output feedback loop is cumbersome. People need to click run button, see output, change code, click run again see output. ### LG AI Research — How did AI depict spring? - Company: LG AI Research (lgresearch.ai) - Announced: 2022-02-28 - Category: research-paper - Coverage: not counted - Announcement: yes - Group: announcements - Source: https://www.lgresearch.ai/blog/view?seq=182 - Record: https://forck.live/items/4962-how-did-ai-depict-spring - Subject: EXAONE LG AI Research describes how their EXAONE Multi-modal model generates images from text, using a bi-directional approach and an improved AugVAE, and discusses the technical details of the process.