# forck.live — 20–26 February 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-W08, 20–26 February 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-W08 - The current issue, and the catalogue of the other weeks: https://forck.live/briefing.md - Catalogue: https://forck.live/llms.txt ## Announcements ### OpenAI — Planning for AGI and beyond - Company: OpenAI (openai.com) - Announced: 2023-02-24T08:00:00+00:00 - Category: not stated - Coverage: not counted - Announcement: no - Group: routine - Source: https://openai.com/index/planning-for-agi-and-beyond - Record: https://forck.live/items/875-planning-for-agi-and-beyond - Subject: GPT / ChatGPT / API OpenAI states its mission to ensure that AGI, AI systems smarter than humans, benefits all of humanity. ### Hugging Face — Swift 🧨Diffusers - Fast Stable Diffusion for Mac - Company: Hugging Face (huggingface.co) - Announced: 2023-02-24 - Category: availability-change - Coverage: not counted - Announcement: yes - Group: announcements - Source: https://huggingface.co/blog/fast-mac-diffusers - Record: https://forck.live/items/2093-swift-diffusers-fast-stable-diffusion-for-mac - Subject: Platform Hugging Face announces version 1.1 of the Diffusers for Mac app, a native macOS application for text-to-image generation using Core ML models, with performance improvements, automatic accelerator selection, and an open-source codebase. ### Hugging Face — Red-Teaming Large Language Models - Company: Hugging Face (huggingface.co) - Announced: 2023-02-24 - Category: research-paper - Coverage: not counted - Announcement: yes - Group: announcements - Source: https://huggingface.co/blog/red-teaming - Record: https://forck.live/items/2092-red-teaming-large-language-models - Subject: Platform The concept of red-teaming large language models, methods for jailbreaking, and the challenges of evaluating model safety. ### Hugging Face — Fetch Consolidates AI Tools and Saves 30% Development Time with Hugging Face on AWS - Company: Hugging Face (huggingface.co) - Announced: 2023-02-23 - Category: not stated - Coverage: not counted - Announcement: no - Group: routine - Source: https://huggingface.co/blog/fetch-eap-case-study - Record: https://forck.live/items/2094-fetch-consolidates-ai-tools-and-saves-30-development-time-with-hugging-face-on - Subject: Platform Fetch, a consumer rewards company, used Hugging Face on AWS to build its own AI tools, saving 30% development time, cutting latency by 50%, and processing over 11 million receipts daily. ### Replicate — Machine learning needs better tools - Company: Replicate (replicate.com) - Announced: 2023-02-21 - Category: not stated - Coverage: not counted - Announcement: no - Group: routine - Source: https://replicate.com/blog/machine-learning-needs-better-tools - Record: https://forck.live/items/2575-machine-learning-needs-better-tools - Subject: Platform The post argues that machine learning is too hard to use because of a lack of good tools and abstractions, drawing parallels to the early days of web development before frameworks like Ruby on Rails and platforms like Heroku. It highlights the shift from academic ML to open-source experimentation, exemplified by Stable Diffusion, and calls for a new tooling stack for 'Software 2.0'. ### Hugging Face — Hugging Face and AWS partner to make AI more accessible - Company: Hugging Face (huggingface.co) - Announced: 2023-02-21 - Category: partnership-acquisition - Coverage: not counted - Announcement: yes - Group: announcements - Source: https://huggingface.co/blog/aws-partnership - Record: https://forck.live/items/2095-hugging-face-and-aws-partner-to-make-ai-more-accessible - Subject: Platform Hugging Face and AWS announced an expanded long-term strategic partnership to make AI more accessible by leveraging AWS's tools and infrastructure to accelerate the development and deployment of open machine learning models.