# forck.live — 22–28 August 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-W34, 22–28 August 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-W34 - The current issue, and the catalogue of the other weeks: https://forck.live/briefing.md - Catalogue: https://forck.live/llms.txt ## Announcements ### LG AI Research — 2022 AIGS Symposium, AI industry Gathers Together - Company: LG AI Research (lgresearch.ai) - Announced: 2022-08-25 - Category: not stated - Coverage: not counted - Announcement: no - Group: routine - Source: https://www.lgresearch.ai/news/view?seq=248 - Record: https://forck.live/items/11065-2022-aigs-symposium-ai-industry-gathers-together - Subject: EXAONE LG AI Research participated in the 2022 AIGS Symposium, where CSAI Honglak Lee gave a keynote on learning compositional agents for real-world tasks, and Vision Lab leader Seunghwan Kim presented on multimodal super-giant AI research collaboration with Seoul National University. LG's eight affiliates demonstrated AI technologies including EXAONE, failure prediction, and vision inspection. The event also hosted the first AI Graduate School Challenge competition. ### LG AI Research — [ECCV 2022] Grounding Visual Representations with Texts for Domain Generalization - Company: LG AI Research (lgresearch.ai) - Announced: 2022-08-25 - Category: research-paper - Coverage: not counted - Announcement: yes - Group: announcements - Source: https://www.lgresearch.ai/blog/view?seq=247 - Record: https://forck.live/items/4934-eccv-2022-grounding-visual-representations-with-texts-for-domain-generalization - Subject: EXAONE The paper proposes a domain generalization method that uses natural language supervision to ground visual representations, introducing two modules: Visual and Textual Joint Embedder and Textual Explanation Generator, and achieves state-of-the-art results on CUB-DG and DomainBed benchmarks. ### LG AI Research — 2022 AIGS Symposium, AI industry Gathers Together - Company: LG AI Research (lgresearch.ai) - Announced: 2022-08-25 - Category: not stated - Coverage: not counted - Announcement: no - Group: routine - Source: https://www.lgresearch.ai/blog/view?seq=248 - Record: https://forck.live/items/4933-2022-aigs-symposium-ai-industry-gathers-together - Subject: EXAONE On the 2022 AIGS Symposium, where LG AI Research and affiliates showcased AI technologies including the EXAONE multimodal model, but no new product or model launch is announced. ### Replicate — Build a robot artist for your Discord server with Stable Diffusion, Replicate, and Fly.io - Company: Replicate (replicate.com) - Announced: 2022-08-25 - Category: not stated - Coverage: not counted - Announcement: no - Group: routine - Source: https://replicate.com/blog/build-a-robot-artist-for-your-discord-server-with-stable-diffusion - Record: https://forck.live/items/2580-build-a-robot-artist-for-your-discord-server-with-stable-diffusion-replicate - Subject: Platform A tutorial on building a Discord bot that uses Stable Diffusion via Replicate and deploys on Fly.io. ### OpenAI — Our approach to alignment research - Company: OpenAI (openai.com) - Announced: 2022-08-24T07:00:00+00:00 - Category: not stated - Coverage: not counted - Announcement: no - Group: routine - Source: https://openai.com/index/our-approach-to-alignment-research - Record: https://forck.live/items/894-our-approach-to-alignment-research - Subject: GPT / ChatGPT / API OpenAI describes its approach to alignment research, focusing on improving AI systems' ability to learn from human feedback and assist humans in evaluating AI, with the goal of building a sufficiently aligned AI system to solve other alignment problems. ### LG AI Research — LG Presents ‘AI Ethics Principles’ for Trustworthy AI Research - Company: LG AI Research (lgresearch.ai) - Announced: 2022-08-24 - Category: safety-policy-update - Coverage: not counted - Announcement: yes - Group: announcements - Source: https://www.lgresearch.ai/news/view?seq=244 - Record: https://forck.live/items/11066-lg-presents-ai-ethics-principles-for-trustworthy-ai-research - Subject: EXAONE LG AI Research announced its AI Ethics Principles, consisting of five core values: Humanity, Fairness, Safety, Accountability, and Transparency. The principles are intended to guide all LG employees who research and use AI. LG AI Research also established an AI Ethical Inspection Task Force to train employees on the principles and examine ethical issues in AI research, and plans to create an AI Ethics Working Group with 10 LG subsidiaries by the end of the year. ### LG AI Research — LG Presents ‘AI Ethics Principles’ for Trustworthy AI Research - Company: LG AI Research (lgresearch.ai) - Announced: 2022-08-24 - Category: safety-policy-update - Coverage: not counted - Announcement: yes - Group: announcements - Source: https://www.lgresearch.ai/blog/view?seq=244 - Record: https://forck.live/items/4935-lg-presents-ai-ethics-principles-for-trustworthy-ai-research - Subject: EXAONE LG AI Research announced its 'AI Ethics Principles' consisting of five core values: Humanity, Fairness, Safety, Accountability, and Transparency, along with the establishment of an AI Ethical Inspection Task Force and plans for an AI Ethics Working Group to implement ethical AI practices across LG subsidiaries. ### Hugging Face — Visualize proteins on Hugging Face Spaces - Company: Hugging Face (huggingface.co) - Announced: 2022-08-24 - Category: not stated - Coverage: not counted - Announcement: no - Group: routine - Source: https://huggingface.co/blog/spaces_3dmoljs - Record: https://forck.live/items/2158-visualize-proteins-on-hugging-face-spaces - Subject: Platform To integrate 3Dmol.js into a Hugging Face Space using Gradio's HTML block to visualize protein structures, including code examples for setting up the viewer and handling PDB files. ### Hugging Face — Pre-Train BERT with Hugging Face Transformers and Habana Gaudi - Company: Hugging Face (huggingface.co) - Announced: 2022-08-22 - Category: not stated - Coverage: not counted - Announcement: no - Group: routine - Source: https://huggingface.co/blog/pretraining-bert - Record: https://forck.live/items/2160-pre-train-bert-with-hugging-face-transformers-and-habana-gaudi - Subject: Platform To pre-train a BERT-base model from scratch using Hugging Face Transformers and Habana Gaudi on AWS, covering dataset preparation, tokenizer training, and model pre-training with masked language modeling. ### Hugging Face — Stable Diffusion with 🧨 Diffusers - Company: Hugging Face (huggingface.co) - Announced: 2022-08-22 - Category: new-model - Coverage: not counted - Announcement: yes - Group: models - Source: https://huggingface.co/blog/stable_diffusion - Record: https://forck.live/items/2159-stable-diffusion-with-diffusers - Subject: Platform Stable Diffusion, a text-to-image latent diffusion model, and demonstrates how to use it with the 🧨 Diffusers library, covering setup, inference, and customization.