# forck.live — 11–17 October 2021 > 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 2021-W41, 11–17 October 2021, 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/2021-W41 - 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 — Speech Recognition Dataset for the Infinite Development of Speech-Based AI - Company: LG AI Research (lgresearch.ai) - Announced: 2021-10-15 - Category: not stated - Coverage: not counted - Announcement: no - Group: routine - Source: https://www.lgresearch.ai/blog/view?seq=151 - Record: https://forck.live/items/4977-speech-recognition-dataset-for-the-infinite-development-of-speech-based-ai - Subject: EXAONE The importance of speech recognition datasets in the development of speech-based AI, compares global and Korean datasets, and mentions a Korean AI contest. ### Replit — Solidity on Replit: Diving into Web3 - Company: Replit (replit.com) - Announced: 2021-10-14T00:06:40+00:00 - Category: not stated - Coverage: not counted - Announcement: yes - Group: announcements - Source: https://replit.com/blog/solidity - Record: https://forck.live/items/18039-solidity-on-replit-diving-into-web3 - Subject: Replit Agent Today, we're announcing our official Solidity development template. Solidity is the language used to create smart contracts , which are programs that run on the Ethereum blockchain. This is important for the Web3 commmunity because there's finally an accessible and collaborative way to learn Solidity, which will unlock thousands of new developers in the decentralized web. You can try it out by creating a new Repl and typing solidity in the search bar. Or, go directly to the template page to fork it or leave feedback. :) Why this matters Lowering barriers to entry is core to Replit. Everything we do is intended to make software creation easier, faster, and more fun. So when new infrastructure and communities (like Ethereum) gain momentum, it's our responsibility to help people create for that new technological universe. So, why not try to build the best blockchain development experience in the world? Replit has a unique advantage here. Among other "web-based IDEs", Replit is a true general purpose computing environment. Every Repl you create is actually a Linux container, meaning everything we build sits on top of a fully functioning operating system . … ### Replit — Faster Nix Repl Startup - Company: Replit (replit.com) - Announced: 2021-10-13 - Category: not stated - Coverage: not counted - Announcement: yes - Group: announcements - Source: https://replit.com/blog/nix-perf-improvements - Record: https://forck.live/items/18057-faster-nix-repl-startup - Subject: Replit Agent For the past few months we have been working on improving our Nix integration . Nix allows users to easily use over 80,000 Linux packages in a repl. Nix opens the door to many exciting tools and applications on the platform. Our goal is for every repl to be backed by Nix. Before we can do that, we need to ensure that the Nix experience is just as good, if not better, than our existing Polygott solution . If you've used a Nix repl, you may have noticed additional loading time when opening your repl. The console would show "Loading Nix environment..." and you'd have to wait for a few seconds. In some cases, you might have waited for tens of seconds. We care about making repls start up as fast as possible and this additional loading time wasn't acceptable. Through some additional caching, we have entirely removed this loading time on many Nix repls. Now, Nix repls will start up just as fast as Polygott-based repls. See below for a before and after demonstration. Before: After: With this improvement, we are even closer to being able to transition all repls to Nix without causing any regressions in performance and usability. … ### Hugging Face — Fine tuning CLIP with Remote Sensing (Satellite) images and captions - Company: Hugging Face (huggingface.co) - Announced: 2021-10-13 - Category: not stated - Coverage: not counted - Announcement: no - Group: routine - Source: https://huggingface.co/blog/fine-tune-clip-rsicd - Record: https://forck.live/items/2247-fine-tuning-clip-with-remote-sensing-satellite-images-and-captions - Subject: Platform Fine-tuning OpenAI's CLIP model on remote sensing image datasets (RSICD, UCM, Sydney) for satellite image search using text queries.