# forck.live — 18–24 December 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-W51, 18–24 December 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-W51
- The current issue, and the catalogue of the other weeks: https://forck.live/briefing.md
- Catalogue: https://forck.live/llms.txt

## Announcements

### Replit — Dec 12 Incident Update: Secrets and repl.co Static Hosting Unavailable

- Company: Replit (replit.com)
- Announced: 2023-12-21T09:00:00+00:00
- Category: not stated
- Coverage: not counted
- Announcement: no
- Group: routine
- Source: https://replit.com/blog/dec-12-secrets-static-hosting
- Record: https://forck.live/items/18015-dec-12-incident-update-secrets-and-repl-co-static-hosting-unavailable
- Subject: Replit Agent

Replit reported that between December 12 and 16, Secrets in interactive Repls and files in its legacy repl.co static hosting were unavailable due to a misconfiguration in Google Cloud Storage lifecycle settings. The company recovered all known user Secrets and implemented new data retention procedures to prevent recurrence.

### Hugging Face — Speculative Decoding for 2x Faster Whisper Inference

- Company: Hugging Face (huggingface.co)
- Announced: 2023-12-20
- Category: capability-change
- Coverage: not counted
- Announcement: yes
- Group: announcements
- Source: https://huggingface.co/blog/whisper-speculative-decoding
- Record: https://forck.live/items/1964-speculative-decoding-for-2x-faster-whisper-inference
- Subject: Platform

Hugging Face demonstrates how Speculative Decoding can reduce Whisper inference time by a factor of 2 while ensuring exactly the same outputs, making it a drop-in replacement for existing Whisper pipelines.

### Harvey — Harvey raises $80M Series B from Elad Gil, Kleiner Perkins, OpenAI and Sequoia

- Company: Harvey (harvey.ai)
- Announced: 2023-12-19T21:34:00+00:00
- Category: funding-company-news
- Coverage: not counted
- Announcement: yes
- Group: announcements
- Source: https://www.harvey.ai/blog/series-b
- Record: https://forck.live/items/17736-harvey-raises-80m-series-b-from-elad-gil-kleiner-perkins-openai-and-sequoia
- Subject: Harvey

Harvey raised $80 million in Series B funding co-led by Elad Gil and Kleiner Perkins, with participation from OpenAI Startup Fund and Sequoia, at a $715 million valuation. The round brings total funding to over $100 million. Revenue has increased more than tenfold since April, and the company plans to use the funds to expand custom model building, scale its team, and develop product features.

### Replit — GitHub x Replit Workflows: Enhancing Developer Productivity

- Company: Replit (replit.com)
- Announced: 2023-12-19T17:00:00+00:00
- Category: capability-change
- Coverage: not counted
- Announcement: yes
- Group: announcements
- Source: https://replit.com/blog/github
- Record: https://forck.live/items/18016-github-x-replit-workflows-enhancing-developer-productivity
- Subject: Replit Agent

Replit redesigned its GitHub integration, including a new import form with search filters and direct URL imports, streamlined authentication, and an improved Git Pane with features like commit view, diff viewing, and flexible repository initialization.

### LG AI Research — KorQuAD 2.0 1st rank: Generative Model for Long Context Question Answering

- Company: LG AI Research (lgresearch.ai)
- Announced: 2023-12-19
- Category: not stated
- Coverage: not counted
- Announcement: no
- Group: routine
- Source: https://www.lgresearch.ai/blog/view?seq=374
- Record: https://forck.live/items/4881-korquad-2-0-1st-rank-generative-model-for-long-context-question-answering
- Subject: EXAONE

LG AI Research achieved 1st rank on the Korean machine reading comprehension benchmark KorQuAD 2.0 using their in-house developed EXAONE LM 1.0 model, employing post-training techniques (QA, HTML-T5) to handle HTML documents and long contexts.

### Hugging Face — 2023, year of open LLMs

- Company: Hugging Face (huggingface.co)
- Announced: 2023-12-18
- Category: not stated
- Coverage: not counted
- Announcement: no
- Group: routine
- Source: https://huggingface.co/blog/2023-in-llms
- Record: https://forck.live/items/1965-2023-year-of-open-llms
- Subject: Platform

Open LLMs in 2023, discussing model architecture, training data, tokenizers, and fine-tuning, and reviewing notable open models from 2022 such as BLOOM and OPT.
