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{{short description|Artificial intelligence model geared towards programming}}
'''OpenAI Codex''' is an [[artificial intelligence]] model developed by [[OpenAI]]. It parses natural language and generates [[computer program|code]] in response. It
OpenAI released an [[API]] for Codex in [[closed beta]].<ref name="OAI" /> In March 2023, OpenAI shut down access to Codex.<ref>{{Cite web |last=Kemper |first=Jonathan |date=2023-03-22 |title=OpenAI kills its Codex code model, recommends GPT3.5 instead |url=https://the-decoder.com/openai-kills-code-model-codex/ |access-date=2023-03-29 |website=THE DECODER |language=en-US |archive-date=2023-06-01 |archive-url=https://web.archive.org/web/20230601195835/https://the-decoder.com/openai-kills-code-model-codex/ |url-status=live }}</ref> Due to public appeals from researchers, OpenAI reversed course.<ref>{{Cite tweet |user=OfficialLoganK |author=Logan Kilpatrick |number=1638336152800206858 |title=Hey Carolyn, we will continue to support Codex access via our Researcher Access Program. Sorry for any confusion and hopefully the research is going well! |access-date=2023-04-08}}</ref> The Codex model can still be used by researchers of the OpenAI Research Access Program.<ref>{{Cite web |title=Researcher Access Program application |url=https://openai.com/form/researcher-access-program |access-date=2023-04-08 |website=openai.com |language=en-US |archive-date=2023-10-10 |archive-url=https://web.archive.org/web/20231010073704/https://openai.com/form/researcher-access-program |url-status=live }}</ref>
== Capabilities ==
Based on GPT-3, a [[neural network]] trained on text, Codex
OpenAI claims that Codex
A very powerful language model called OpenAI Codex was created expressly to generate code in response to natural language commands. It is capable of understanding and producing code in a multitude of areas because it is compatible with a large number of programming languages and libraries. Codex is a useful tool for developers who want to optimize their coding processes because it can debug, parse natural language inquiries, and provide code completions.<ref>{{Cite web |title= Best AI Headshot Generators |url=https://supermachines.io/best-ai-headshot-generators |access-date=2024-03-12 |language=en-US}}</ref>
OpenAI has shown that Codex is able to interface with services and apps such as [[Mailchimp]], [[Microsoft Word]], [[Spotify]], and [[Google Calendar]].<ref name="VB" /><ref name="Verge">{{Cite news|last=Vincent|first=James|date=August 10, 2021|title=OpenAI can translate English into code with its new machine learning software Codex|work=[[The Verge]]|url=https://www.theverge.com/2021/8/10/22618128/openai-codex-natural-language-into-code-api-beta-access|access-date=2021-09-03}}</ref> [[Microsoft]] is reportedly interested in exploring Codex's capabilities.<ref name="Verge" />▼
▲OpenAI
== Issues ==
OpenAI demonstrations showcased flaws such as inefficient code and one-off quirks in code samples.<ref name="VB" /> In an interview with ''[[The Verge]]'', OpenAI [[chief technology officer]] [[Greg Brockman]] said that "sometimes [Codex] doesn't quite know exactly what you're asking" and that it can require some trial and error.<ref name="Verge" /> OpenAI researchers found that Codex struggles with multi-step and {{clarify|text=higher-level|date=March 2023}} prompts, often failing or yielding counter-intuitive behavior. Additionally, they brought up several safety issues, such as over-reliance by novice programmers, biases based on the training data, and security impacts due to vulnerable code.<ref name="arXiv" />
''VentureBeat''
===Copyright===
The [[Free Software Foundation]]
In response, OpenAI
The copyright issues with Codex have been compared to the ''[[Authors Guild, Inc. v. Google, Inc.]]'' court case, in which judges ruled that [[Google Books]]'s use of text snippets from millions of [[Book scanning|scanned books]] constituted fair use.<ref name="RegTA" /><ref name="WIRED">{{Cite magazine|last=Barber|first=Gregory|date=July 12, 2021|title=GitHub's Commercial AI Tool Was Built From Open Source Code|magazine=[[WIRED]]|url=https://www.wired.com/story/github-commercial-ai-tool-built-open-source-code/|access-date=2021-09-04|archive-date=2021-07-25|archive-url=https://web.archive.org/web/20210725233825/https://www.wired.com/story/github-commercial-ai-tool-built-open-source-code/|url-status=live}}</ref> However, use of text snippets from books provides for a reliable reference of the copyright owner, as opposed to compiled works used for the training algorithm data where the final output is made without any such reference. == References ==
{{reflist}}
{{OpenAI navbox}}
[[Category:Deep learning software applications]]
[[Category:Copyright infringement of software]]
[[Category:Generative pre-trained transformers]]
[[Category:OpenAI|Codex]]
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