# forck.live — 25–31 January 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-W04, 25–31 January 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-W04
- The current issue, and the catalogue of the other weeks: https://forck.live/briefing.md
- Catalogue: https://forck.live/llms.txt

## Announcements

### Replit — Rails in 30 seconds

- Company: Replit (replit.com)
- Announced: 2021-01-30T05:00:00+00:00
- Category: availability-change
- Coverage: not counted
- Announcement: yes
- Group: announcements
- Source: https://replit.com/blog/rails
- Record: https://forck.live/items/18212-rails-in-30-seconds
- Subject: Replit Agent

Replit announced that its integration with Databricks is now generally available, adding native support for Databricks Lakebase. The integration allows teams to build full-stack apps combining live Databricks warehouse data with application data, and Replit Agent automatically provisions the Lakebase database upon deployment. Additionally, Replit is now available directly inside Claude, enabling users to design apps in Claude and send them to Replit for building and shipping.

### Replit — Going Global

- Company: Replit (replit.com)
- Announced: 2021-01-28T05:00:00+00:00
- Category: availability-change
- Coverage: not counted
- Announcement: yes
- Group: announcements
- Source: https://replit.com/blog/global
- Record: https://forck.live/items/18112-going-global
- Subject: Replit Agent

Replit announced it is becoming a global company and service, with its first two non-US compute regions now live in Mumbai, India and London, England. The company is also hiring worldwide, making it a globally distributed company. Previously, all traffic routed through a single US datacenter, causing high latency for users outside the US.

### Hugging Face — Faster TensorFlow models in Hugging Face Transformers

- Company: Hugging Face (huggingface.co)
- Announced: 2021-01-26
- Category: capability-change
- Coverage: not counted
- Announcement: yes
- Group: announcements
- Source: https://huggingface.co/blog/tf-serving
- Record: https://forck.live/items/2270-faster-tensorflow-models-in-hugging-face-transformers
- Subject: Platform

The Hugging Face team improved TensorFlow models in Transformers (BERT, RoBERTa, ELECTRA, MPNet) for faster computation and added features for TensorFlow Serving deployment.

### OpenAI — Scaling Kubernetes to 7,500 nodes

- Company: OpenAI (openai.com)
- Announced: 2021-01-25T08:00:00+00:00
- Category: infrastructure-release
- Coverage: not counted
- Announcement: yes
- Group: announcements
- Source: https://openai.com/index/scaling-kubernetes-to-7500-nodes
- Record: https://forck.live/items/938-scaling-kubernetes-to-7-500-nodes
- Subject: GPT / ChatGPT / API

OpenAI scaled Kubernetes clusters to 7,500 nodes to support infrastructure for large models like GPT-3, CLIP, and DALL·E, as well as for small-scale iterative research.