# forck.live — 10–16 July 2023 > 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 2023-W28, 10–16 July 2023, 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/2023-W28 - The current issue, and the catalogue of the other weeks: https://forck.live/briefing.md - Catalogue: https://forck.live/llms.txt ## Announcements ### Replit — State of AI Development: 34x growth in AI projects, OpenAI's dominance, the rise of open-source, and more - Company: Replit (replit.com) - Announced: 2023-07-14 - Category: not stated - Coverage: not counted - Announcement: yes - Group: announcements - Source: https://replit.com/blog/ai-on-replit - Record: https://forck.live/items/18117-state-of-ai-development-34x-growth-in-ai-projects-openai-s-dominance-the-rise - Subject: Replit Agent With the introduction of Large Language Models (LLMs), for the first time, Machine Learning (ML) and Artificial Intelligence (AI) became accessible to everyday developers. ### Hugging Face — Fine-tuning Stable Diffusion models on Intel CPUs - Company: Hugging Face (huggingface.co) - Announced: 2023-07-14 - Category: not stated - Coverage: not counted - Announcement: no - Group: routine - Source: https://huggingface.co/blog/stable-diffusion-finetuning-intel - Record: https://forck.live/items/2028-fine-tuning-stable-diffusion-models-on-intel-cpus - Subject: Platform To fine-tune a Stable Diffusion model on an Intel Sapphire Rapids CPU cluster using textual inversion with only five example images. It covers setting up a multi-node cluster, installing dependencies including Intel oneCCL and Intel Extension for PyTorch, and modifying the Diffusers library's textual inversion script to leverage Intel AMX hardware acceleration. ### LG AI Research — LG AI Expert Course 2023 First Graduation & Achievements Sharing Session - Company: LG AI Research (lgresearch.ai) - Announced: 2023-07-12 - Category: not stated - Coverage: not counted - Announcement: no - Group: routine - Source: https://www.lgresearch.ai/news/view?seq=327 - Record: https://forck.live/items/11048-lg-ai-expert-course-2023-first-graduation-achievements-sharing-session - Subject: EXAONE LG AI Research held a completion ceremony for the first term of its 2023 AI Expert Course on June 30, graduating 13 trainees from four LG affiliates. The 12-week program paired participants with AI specialists from the research lab's departments to work on operational tasks. Three projects received Best Practice awards, including work on strategic agenda sensing, OLED materials synthesis, and 3D object recognition for robots. ### LG AI Research — LG AI Expert Course 2023 First Graduation & Achievements Sharing Session - Company: LG AI Research (lgresearch.ai) - Announced: 2023-07-12 - Category: not stated - Coverage: not counted - Announcement: no - Group: routine - Source: https://www.lgresearch.ai/blog/view?seq=327 - Record: https://forck.live/items/4898-lg-ai-expert-course-2023-first-graduation-achievements-sharing-session - Subject: EXAONE LG AI Research celebrated the first graduation of its LG AI Expert Course 2023, an educational program mentoring LG Group employees on AI technology over 12 weeks. The event included certificate presentations and awards for outstanding projects, but no new AI products or models were announced.