# forck.live — 18–24 September 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-W38, 18–24 September 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-W38 - The current issue, and the catalogue of the other weeks: https://forck.live/briefing.md - Catalogue: https://forck.live/llms.txt ## Announcements ### Hugging Face — Inference for PROs - Company: Hugging Face (huggingface.co) - Announced: 2023-09-22 - Category: capability-change - Coverage: not counted - Announcement: yes - Group: announcements - Source: https://huggingface.co/blog/inference-pro - Record: https://forck.live/items/1992-inference-for-pros - Subject: Platform Hugging Face introduces Inference for PRO users, providing access to API endpoints for curated models such as Llama 3, Mixtral, Code Llama, Stable Diffusion XL, and Bark, with improved rate limits for free Inference API. ### LG AI Research — The QASA Approach for Utilizing Language Models in Scientific Knowledge Reasoning - Company: LG AI Research (lgresearch.ai) - Announced: 2023-09-20 - Category: research-paper - Coverage: not counted - Announcement: yes - Group: announcements - Source: https://www.lgresearch.ai/blog/view?seq=339 - Record: https://forck.live/items/4893-the-qasa-approach-for-utilizing-language-models-in-scientific-knowledge - Subject: EXAONE LG AI Research announces the QASA approach and benchmark for scientific question answering, which decomposes QA into three sub-tasks and uses instruction-tuned LLMs. ### OpenAI — OpenAI Red Teaming Network - Company: OpenAI (openai.com) - Announced: 2023-09-19T07:00:00+00:00 - Category: safety-policy-update - Coverage: not counted - Announcement: yes - Group: announcements - Source: https://openai.com/index/red-teaming-network - Record: https://forck.live/items/838-openai-red-teaming-network - Subject: GPT / ChatGPT / API OpenAI announces an open call for its Red Teaming Network, inviting domain experts to help improve model safety. ### Replit — AI Agent Code Execution API - Company: Replit (replit.com) - Announced: 2023-09-19 - Category: api-release - Coverage: not counted - Announcement: yes - Group: announcements - Source: https://replit.com/blog/ai-agents-code-execution - Record: https://forck.live/items/18003-ai-agent-code-execution-api - Subject: Replit Agent Replit released a stateless code execution API container server deployable through Replit Autoscale Deployments, designed for AI agents to evaluate untrusted code in a sandboxed environment. The API handles requests in as little as 100ms and uses the omegajail unprivileged container sandbox. It supports simple math evaluation using Python and can be integrated with OpenAI applications via GPT-3.5 and GPT-4 custom function invocation. ### Hugging Face — Rocket Money x Hugging Face: Scaling Volatile ML Models in Production​ - Company: Hugging Face (huggingface.co) - Announced: 2023-09-19 - Category: partnership-acquisition - Coverage: not counted - Announcement: yes - Group: announcements - Source: https://huggingface.co/blog/rocketmoney-case-study - Record: https://forck.live/items/1993-rocket-money-x-hugging-face-scaling-volatile-ml-models-in-production - Subject: Platform Rocket Money uses Hugging Face's Inference API to serve a BERT-based text classification model for transaction categorization, replacing a regex-based system and scaling to over 100 million transactions per month. ### Hugging Face — Object Detection Leaderboard - Company: Hugging Face (huggingface.co) - Announced: 2023-09-18 - Category: not stated - Coverage: not counted - Announcement: no - Group: routine - Source: https://huggingface.co/blog/object-detection-leaderboard - Record: https://forck.live/items/1995-object-detection-leaderboard - Subject: Platform Hugging Face announces the release of an Object Detection Leaderboard that ranks open-source object detection models on the Hub, and explains the metrics used for evaluation. ### Hugging Face — Introduction to 3D Gaussian Splatting - Company: Hugging Face (huggingface.co) - Announced: 2023-09-18 - Category: not stated - Coverage: not counted - Announcement: no - Group: routine - Source: https://huggingface.co/blog/gaussian-splatting - Record: https://forck.live/items/1994-introduction-to-3d-gaussian-splatting - Subject: Platform The 3D Gaussian Splatting technique, explaining its parameters, training process, and potential implications for graphics and embodied AI.