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Open Slopware
Free/Open Source Software tainted by LLM developers/developed by genAI boosters, along with alternatives.
The intention of this list is to raise awareness of AI/LLM usage in popular open-source software. Provided below is an informed set of AI-free alternatives for users and developers to consider should their ethical boundaries be crossed or tolerance for risk be exceeded. This list is not a resource to be used for the harassment of other open-source developers. If you wish to advocate for the cessation of use and/or removal of AI-generated code from another project, we ask that it be done respectfully and constructively.
For more information on why we think this list matters, please see Why not LLMs?.
To Contribute, checkout our CONTRIBUTING.md.
Note
This is a fork of a repo by the same name maintained by the @gen-ai-transparency org on Codeberg. If they make their repo available again, we will contribute back.
- Definitions
- Sibling Repos
- Tainted Software
- Browsers
- Search Engines
- Command-Line Shells
- Computer Graphics
- Terminal Emulators
- Developer Tools
- Programming Languages
- Editors
- Accessibility Tools
- Microcontroller Tools and Libraries
- Service Monitoring
- Programming Language-Specific Tooling
- Game Engines
- Audio
- Services and Utilities
- System Services and Daemons
- Operating Systems
- Why not LLMs?
- License
Definitions
| Term | Definition |
|---|---|
| LLM | Large Language Model, a language model trained on vast amounts of text (often entire websites without the website owner's permission) |
| slop | Anything generated by AI, typically code, books, articles, or images. |
| sloperator | A person who uses AI prompts to generate anything, typically code or images. |
| slopshop | Company, Organization, or Group of sloperators working together to use AI to generate content. |
Sibling Repos
This is a section for repos that are similar to this one either because they are also forks of the original upstream, or because they align with our goal of idenitifying and avoiding AI/LLM usage OR identifying/elevating projects that do NOT use AI/LLMs. These repos are not all maintained by the same people, but we may share some contributors and generally be kind FOSS nieghbors.
- llm-afflicted-software offers a similar list to ours here, however in YMAL file format for each category, making it more suitable to consumption via code (for instance writing a CLI, GUI, or TUI tool to consume it). They've also kindly reached out in the past and submitted Issues and PRs (e.g. #12, #22) to help us here.
- forge.starlightnet.work/Team/No-AI/ which is the repo for this no-AI list that lists projects that have explicitly pledged not to use AI or have an explicit policy to not use AI.
- slop-free-index is a list of software that has taken steps to reject AI in its development processes.
Tainted Software
Browsers
Desktop Browsers
| Name | Alternatives | Evidence | Notes |
|---|---|---|---|
| Chromium/Blink engine | LibreWolf, Zen, Epiphany, Servo | Presence of .claude, .gemini and .agents | |
| Firefox | LibreWolf, Zen, Epiphany, Servo | Blog post collecting details | |
| Ladybird | LibreWolf, Zen, and several other forks | President of company/core developer discussing Rust language adaption using AI agents. Associated blog post |
Note
On Desktop Browser Alternatives
- Epiphany (by GNOME, WebKit based) does not currently have a stance, but GNOME developers as a whole show aware anti-"AI" sentiments and roll out wide reaching rules against it.
- LibreWolf (Firefox fork) has made statements and efforts to remove Mozilla's push for "AI". They also acknowledge that the notion of "apolitical" technology is a futile one.
- Servo (New engine, formerly owned by Mozilla, now by a co-op) is not yet daily driver ready, but has strong protections for when it is some time in the future.
Mobile Browsers
| Name | Alternatives | Evidence | Notes |
|---|---|---|---|
| Firefox | IronFox | Blog post collecting details |
Note
On Mobile Browser Alternatives
Search Engines
| Name | Alternatives | Evidence | Notes |
|---|---|---|---|
| Searxng | LibreY, 4get | Copilot used in reviews | Note: maintainers experimenting with and open to adding AI results, see 1, 2, 3 |
Command-Line Shells
| Name | Alternative(s) | Evidence | Notes |
|---|---|---|---|
nushell |
elvish shell |
Integrated MCP server, core developer sets Claude as a co-author | |
yash |
dash shell, but there are no other major shells fully targeting POSIX |
Assigns and auto-reviews MRs with LLMs |
Computer Graphics
Image Manipulation
Photography
| Name | Alternative(s) | Evidence |
|---|---|---|
| RapidRAW | From the README: "with the support from Google Gemini." Roadmap includes adding GenAI. | |
| RawTherapee | Stick to version 5.12 | Use Copilot for review PR7518, PR 7435, PR 7378 and code changes commit c4b0400 |
Video
| Name | Alternative(s) | Evidence |
|---|---|---|
| VLC | SMPlayer (mplayer-based) | The lead developer (JB Kempf) is a known advocate of vibe-coding on his podcast. Here's an extract where he describes his "vibecoding stack". |
| gstreamer | Claude commit | |
| mpv | Explicitly stated in their Contribution Guidelines. | |
| Kodi | Claude listed as a coauthor (for example this commit). | |
| Jellyfin | Explicitly stated in their Contribution Guidelines. |
Terminal Emulators
| Name | Alternative(s) | Evidence | Notes |
|---|---|---|---|
| iTerm2 | See below note | Deep integration of OpenAI-backed features. Killswitch only. | |
| Ghostty | See below note | AI_POLICY.md states "AI is Welcome Here" | |
| Kitty | See below note | Contains multiple commits from Copilot (e.g. 1, 2, 3, 4) |
Note
Alternative terminal emulators
Developer Tools
Note
On task runners and
make(1)implementations:A lot of Make implementations exist that are very fit to replace other task runners. In fact so many were produced, that one can just look up "GNU Make alternative" and find >10 results to pick the one they like the best. Also see: wikipedia/Make Here are some Make implementation suggestions:
name description GNU Make the most complete one, extra extensions, guile scripting, exports, etc. NetBSD make Make used to build NetBSD ports tree Jam OSS rewrite by Perforce
Programming Languages
| Name | Alternative(s) | Evidence | Notes |
|---|---|---|---|
.NET |
See below | .NET Runtime PRs, .NET SDK PRs |
|
| Julia | An older version of Python (w/ appropriate scientific libraries) | AGENTS.md in main repository, PRs "written by Claude" |
|
| Kotlin | Java, Clojure | JetBrains is openly embracing AI; the repo is fully slop-equipped and contains commits from Claude | |
| Python | Older version of Python; Lua | Some Gen AI allowed as per Developer Guide and Contains code from Claude | |
| Ruby | Maintainer contributed code from Claude. Additional examples: 1, 2, 3 | mruby (spin-off) vibe coded by language founder; TruffleRuby (alternative implementation) contains code from Claude, contributed by lead maintainer | |
| Scala | See below | Both v2 and v3 are outfitted for slop; v3 explicitly allows LLM contributions | |
| Typescript | Normal JavaScript; Lua | Contains Copilot instructions and multiple commits from Copilot (e.g. 1, 2, 3, 4) |
Note
On alternative languages:
Suggestions for alternative programming languages are necessarily more complex than many other categories considered here, as that's one of the core technical choices to be made when starting a new software development project.
Depending on your needs and technical concerns, you may find any number of different alternative languages useful. For example, when considering alternatives to .NET, Java may be an interesting candidate from the perspective of being a similar VM-based framework.
Editors
| Name | Alternative(s) | Evidence | Notes |
|---|---|---|---|
| Zed | Lapce, Gram (removes AI integration, codebase may still contain AI code), other popular editors like emacs, etc | They prominently advertise genAI features as a core part of their product. See their website. | There's a killswitch to disable genAI features entirely, but it's likely the code itself is still heavily LLM-authored. |
| VS Code | VS Codium* removes the AI features from VS Code | It's literally their main advertising tagline, and they publicly use LLMs in their public repository. Most AI "features" are enabled by default, and some cannot be disabled. | *VS Codium is still written with LLMs since Microsoft owns it |
| VIm | emacs, EVi and other forks of VIm prior to March 20th 2024, build v9.1.0190 or commit 8950bf7f8b85c1287d4e696965d88091fcc60594. |
Thread on Hachyderm.io where screenshots show that the lead maintainer, chrisbra, uses Claude for VIm including commits featuring Claude in the VIm repo and other potential LLM code from a contributor as early as March 2024. | This also affects neovim and many other forks. |
| Logseq | See below | AGENTS.md file |
|
| Joplin | See below | CLAUDE.md file |
Note
Note software alternatives
- Zettlr. It is Markdown-based.
Accessibility Tools
| Name | Alternative(s) | Evidence | Notes |
|---|---|---|---|
| espeak-ng | flite | Dev uses copilot for review and is setting up copilot instructions | espeak still exists, but is heavily outdated and very bad from a modern standpoint, so it cannot be considered as an alternative. flite users may also wish to install speech-dispatcher-flite. |
| Nametag | Monica | Many Claude commits (e.g. 1 2 3) | Last Monica version is from 2024, exercise caution. |
Microcontroller Tools and Libraries
| Name | Alternative(s) | Evidence | Notes |
|---|---|---|---|
| FastLED | .claude and .cursor folders in main repository |
Service Monitoring
| Name | Alternative(s) | Evidence |
|---|---|---|
| Uptime Kuma | Gatus | Dev uses copilot for review |
| Glitchtip | AI policy states Glitchtip is written with plenty of AI assistance |
Programming Language-Specific Tooling
C
| Name | Alternative(s) | Evidence | Notes |
|---|---|---|---|
| harfbuzz | Not realistically replaceable currently, use earlier version. | Core developer enthusiastically discloses LLM usage | |
| sd-bus (via systemd) | basu (sd-bus extracted from systemd 2 years before first AI commits) | See systemd section |
CSS
| Name | Alternative(s) | Evidence | Notes |
|---|---|---|---|
tailwindcss |
twind |
Sponsorship page states explicitly that the founder uses AI to write code and even sells access to his "Cursor/Claude/AGENTS.md rules" |
JavaScript And TypeScript
| Name | Alternative(s) | Evidence | Notes |
|---|---|---|---|
| Zod | TypeBox (in grey area) | CLAUDE.md, AGENTS.md, .cursorrules in GitHub repo | Is also sponsored by AI startups |
| Valibot | TypeBox (in grey area) | Uses LLM's in GitHub issues and PR's; prompts folder; LLMs.txt |
|
| ArkType | TypeBox (in grey area) | Uses an LLM for PR review (e.g. PR #1594), accepted a PR from someone using Claude, and has an llms.txt | Contains a Cursor instruction file that may be pro-LLM |
| Electron | Using native GUIs, such as GTK, instead of making a web site | Contains CLAUDE.md and commits from Claude (e.g. 1, 2, 3, 4, 5) |
Python
Note that Python is itself tainted; see the Programming Languages section.
| Name | Alternative(s) | Evidence | Notes |
|---|---|---|---|
| Chardet | An older version | Core developer used Claude to launder LGPL-licensed code to Expat/MIT license | |
| Requests | urllib.request in Python Standard Library |
Contains commits from Claude | |
| Textual | v7.5.0 is the last version before AI is allowed, pytermgui | AI policy explicitly accepts AI generated code |
Rust
| Name | Alternative(s) | Evidence | Notes |
|---|---|---|---|
c2rust |
Statement from developerpostprocess component uses LLMsPR made with AI |
||
egui |
imgui, relm, iced | Claude commit | |
facet |
Use more specific deserialization libraries and avoid macros that slow things down anyway. serde itself is tainted by its Palantir-defending author. nanoserde could be suitable for certain use cases. |
Core developer openly uses LLMs for library dev | |
ratatui |
iocraft (<=0.7.17) and cursive. console and its family of libraries may also be enough for some use cases. |
Core developer has stated their use of AI for rust code | |
iocraft |
An older version (<=0.7.17, prior to Feb 12, 2026); cursive and console |
Contains commits from Claude | |
| rust-analyzer | cargo check | Allows AI contributions and has Claude rules | |
wgpu |
vulcano, ash, glow |
Explicitly allowed in CONTRIBUTING.md, LLM instructions added according to a decision by the maintainers in this issue | |
zbus |
CLAUDE.md, core developer talking about their AI policy (screenshot) |
Also, there is an advistory database of Rust slopware crates, which you can use in tools like cargo-deny: https://codeberg.org/1millibyte/rust-slopdb.
Game Engines
| Name | Alternative(s) | Evidence |
|---|---|---|
| UPBGE 0.5 | UPBGE 0.36.1 seems to be slop-free | 0.5 release notes state the use of AI in plain language |
| Godot Engine | ? | Allows LLM contributions (also see this comment) |
Audio
| Name | Alternative(s) | Evidence |
|---|---|---|
| HISE | DPF | Include AGENTS.md |
| zrythm | Ardour (opinions may vary whether it is a replacement or not) | CLAUDE.md in repository |
| FineTune | BackgroundMusic | Include CLAUDE.md in the .gitignore |
Services and Utilities
| Name | Alternative(s) | Evidence |
|---|---|---|
| Calibre 8.16.2 | BookLore Clbre, a Calibre fork without AI Arcalibre, a Calibre hard-fork from before AI features |
Added "Discuss selected book(s) with AI" feature |
| Ghost | WriteFreely | Include configurations for Claude and cursor; images on website seem generated |
| Wagtail CMS | WriteFreely | Include AGENTS.md; Wagtail AI |
| WordPress | WriteFreely | Include AGENTS.md; has Copilot PRs |
| Gitea | Forgejo (self-hosted) or Codeberg (hosted) | Include AGENTS.md and CLAUDE.md; Include AI contribution policy; Some blog post images are AI generated |
| GitLab | Forgejo (self-hosted) or Codeberg (hosted) | Include AGENTS.md and .ai; |
| somafm_tui | soma-player | Commits from QwenCoder & Claude |
| Bludit CMS | See below | Coding with Claude and reviewing by Code Rabbit |
| Hugo | See below | Include AGENTS.md, Claude.md, Commits made with Claude |
| Pelican | See below | Includes Claude-generated code |
| Zola | See below | Include .claude |
Note
Static site generators alternatives
- Jekyll maybe? No signs of AI in the repo but also no clear statement provided
- Bridgetown
Package Managers
| Name | Alternative(s) | Evidence |
|---|---|---|
brew |
Build packages from source or switch from macOS | AGENTS.md in repository |
| Pi-Apps | Use system repositories provided by your distro or manual installation of software | Includes known AI vibe-coding app Google Antigravity in the Pi-Apps repositories, install scripts like for Boxy SVG have AI code in them |
| PiKISS | Use system repositories provided by your distro or manual installation of software | Use Sourcery AI for reviews (example) |
File Storage
| Name | Alternative(s) | Evidence |
|---|---|---|
| MinIO | Garage | Advertises AI as their primary focus on their website. |
| Nextcloud | seafile for file storage and syncing only (not a complete worksuite replacement) | ✨ Nextcloud Assistant (can be disabled) Nextcloud Desktop has AGENTS.md |
| SeaweedFS | Garage for S3 api + JuiceFS for the NFS mounts and K8s CSI driver Rook/Ceph |
Using Gemini and coderabbitai in PRs. |
Password Management
| Name | Alternative(s) | Evidence |
|---|---|---|
| AliasVault | Main instance uses "AI" "generated" avatar | |
| Bitwarden | vaultwarden (server) / rbw (client) | Include CLAUDE.md |
| KeepassXC | See below | Explicitly stated in official blog post. Use Copilot to generate PRs: Example 1, Example 2, Example 3. |
Note
Password manager alternatives
- KeePass 2. It is a .NET application, but Mono or Wine can be used for non-Windows platforms.
- KeePassXC 2.7.9 was released before the statement, and was awarded 3 year security Visa by the French National Cybersecurity Agency (ANSSI) for a First-level Security Certification (CSPN), valid in France and Germany, under report No. ANSSI-CSPN-2025/16 (archive.org, certificate).
- Secrets uses the KeePass file format.
- Password managers based on pass or Himitsu could be interesting.
Social Media
This is for both social media websites and apps.
Servers
| Name | Alternative(s) | Evidence |
|---|---|---|
| Bluesky | GoToSocial | CTO discusses using Claude in development |
rsky |
GoToSocial | Contains commits from Claude (e.g. 1, 2, 3) |
| PeerTube | Includes copilot instructions | |
| Mastodon | GoToSocial | Allows LLM use |
| Misskey | GoToSocial | Contains commit from Copilot |
| Lemmy | Allows LLM use |
Clients
| Name | Alternative(s) | Evidence |
|---|---|---|
| IceCubesApp for iOS | Feditext, an iOS fediverse app in beta | Project uses Claude |
| Bluesky Social App | Not using Bluesky | Contains CLAUDE.md and commits from Claude (e.g. 1, 2, 3) |
Messaging
Unified Push Distributors
| Name | Alternative(s) | Evidence |
|---|---|---|
| ntfy-sh | see below | v2.18.0 is "14,997 added lines of code [...] written by Cursor and Claude" (archive) |
list of unified push distributors at: https://unifiedpush.org/users/distributors:
- Sunup
- NextPush (see entry for NextCloud on taintedness)
- Conversations (XMPP client) or one of the forks
Budgeting
| Name | Alternative(s) | Evidence |
|---|---|---|
| Actual | Include AGENTS.md; Used Open Collective funds for Cursor subscription | |
| Firefly III | Include agents.md |
Virtualization
| Name | Alternative(s) | Evidence |
|---|---|---|
| Lutris | Bottles | Issue "is lutris slop now" & Discussion "is lutris slop now" |
| Botspot Virtual Machine | QEMU + virt-manager | Author says in the readme that ChatGPT was used in coding |
VPN Software
| Name | Alternative(s) | Evidence |
|---|---|---|
| Headscale | nebula | AGENTS.md and .claude/agents added to repo, commits/PRs include "assisted by claude" notes (example, there are plenty more) |
| netbird | nebula | Privacy policy lists OpenAI in List of third party providers |
System Services and Daemons
| Name | Alternative(s) | Evidence |
|---|---|---|
| framework-system | BIOS settings, UI widgets, /proc | CLAUDE file, Claude usage by maintainer |
| lvm2 | Many commits authored by Claude and Cursor. Examples: 1 2 3 | |
| rsyslog | syslog-ng | Explicitly stated in the documentation |
| systemd | dinit, s6, OpenRC, shepherd | AGENTS.md, Claude used for commits |
| wireplumber | AGENTS.md file in code repository | |
| Mesa3D | Explicitly stated in their Contribution Guidelines. |
Operating Systems
| Name | Alternative(s) | Evidence |
|---|---|---|
| Linux Kernel | BSD? Honestly this one's tough | Maintainers are explicitly trying out the technology and considering LLM-based reviews |
| FreeBSD | Commit by Claude; Commit "in collaboration with Claude and Anthropic Research."; AI usage is allowed |
Why not LLMs?
Could use some help writing this with concrete receipts on environmental, social, political, and economic/labor harms.
Legal Ramifications
LLMs are often trained on, and thus prone to, regurgitate either completely, or in-part, chunks of code that are licensed under terms which have specific legal requirements that a sloperator may not understand or even be aware of when making a contribution. Regardless of this ignorance, it falls to the repo's owner to comply with the terms of any and all licensed code integrated into their project.
Legal Cases And Law Problems
- copilot litigations, IEEE article explaining how we go here
- broader lawsuits against AI companies tracker
License Problems
Legal, copyright and ethic problems arise especially with copyleft licenses such as (A/L)GPL. With the "help" of AI the copyleft code may be "license-washed" very easily.
There are ongoing problems with AI "license-washing" in the FOSS world:
chardet- switched from LGPL to MIT license without asking all contributors (which itself is a violation of GPL)- relicensed release: https://github.com/chardet/chardet/releases/tag/7.0.0
- original author's concerns: https://github.com/chardet/chardet/issues/327
- "consumer's" concerns: https://github.com/chardet/chardet/issues/331
Stolen Training Data
AI companies use data from across the web for training their models, most often without the website owners' and users' consent. Big tech companies like Google and Meta are scraping data from the users of major FOSS projects, such as Mastodon, WordPress, and other AcitivityPub-powered and self-hosted software.
- In 2023, the Washington Post published a list of sources in Google's C4 data set. A multitude of fediverse instances and personal sites were included. The fediverse is known for its userbase being major proponents of privacy and opt-in consent, making this especially jarring for those who have chosen to use decentralized social media for control over their data.
- In 2025, a similar leak of Meta's sources was published. Meta's list demonstrates how their integration of ActivityPub into their Threads software has enhanced their ability to mine content without authorization. Threads is widely blocked in some parts of the fediverse, but their scraping of server CDNs has allowed them to get around that. Notably, both the CDN domains of the managed hosting services masto.host and fedi.monster are included in the list; large servers like mastodon.art, which is hosted by the former and has many artists who've left sites like DeviantArt and others due to their AI scraping of user content, had media unknowingly scraped.
FOSS projects listed in this repo are using tooling that blatantly disregard licensing and violate of Codes of Conduct, making said tools antithetical to FOSS' purpose.
Environmental Impact
To start learning a bit more, you can checkout the wikipedia page on Environmental impact of artificial intelligence. We're very open to people contributing other explanations, links, and resources to learn more about this. Here's what we've gathered so far:
- MIT News: Generative AI’s environmental impact
- MIT Technology Review: We did the math on AI’s energy footprint. Here’s the story you haven’t heard.
Labor
AI usage and normalization contributes to labor violations in many ways that are obvious and some you may not be aware of.
On one hand, many things that you think are "AI" are actually humans in another country pretending to be an AI chatbot for you for either extremely low wages or in some cases, no wages e.g. prison labor. This is particularly common for "friend"/"sex" bots, but it is also extremely common in the image/video identification. You can find a bit more info at the following links:
- Long hours and low wages: the human labour powering AI’s development
- OpenAI Used Kenyan Workers on Less Than $2 Per Hour to Make ChatGPT Less Toxic
- 'AI Is African Intelligence': The Workers Who Train AI Are Fighting Back
- These Prisoners Are Training AI: In high-wage Finland, where clickworkers are rare, one company has discovered a novel labor force—prisoners.
- Amazon grocery stores previously reported to use AI actually used people in India
Poor Code Quality
Vibe coding / agentic workflows result in poorer code quality, and relaxed oversight practices. These effects may be compounded by the common practice of using additional LLM-based tooling to provide code-reviews.
- How I Dropped Our Production Database and Now Pay 10% More for AWS
- Claude Tested Everything Except the One Thing That Mattered (Ai agent refuses to follow explicit instructions to test
createPost()in increasingly erratic ways) - Amazon calls engineers for a “deep dive” internal meeting to discuss “GenAI”-related outages
- GitClear has released reports in 2024 and 2025 indicating a worsening of key code quality metrics correlating with increased LLM adoption.
Deskilling
There is increasing evidence to show that LLMs negatively impact developers' coding abilities:
- Brains show less activity when completing tasks with LLMs compared to completing tasks with search or completing tasks without digital help.
- Developers who use early-2025 LLMs reported higher subjective performance, but were measured to have lower objective performance. This gap between subjective and objective performance was considered notable.
- In an Anthropic study, learners using LLMs demonstrated lower learning rates on average compared to learners not using LLMs.
- A recent study uses the term "cognitive surrender" to describe the way humans tend to offload key critical thinking skills onto LLMs, even when the output is wrong.
- There are anecdotal reports of LLM users forgetting how to code.
Infosec risks
This also often results in massive security holes.
- Meta Security Researcher's AI Agent Accidentally Deleted Her Emails
- Moltbook’s ‘vibe-coded’ breach is the future of security failures
- In a study evalulating over 500k code samples, LLM-generated code was found to contain more high-risk security vulnerabilities than human-generated code
- LLMs make up package names, making them vulnerable to incorporating malicious code in "slopsquatting" attacks (Arxiv study)
Healthy and Safety
There's been a number of high profile incidents that have resulted in endangerment or death. Here's some examples:
LLM use has also been linked to new-onset psychosis.
Ties to the War Industrial Complex
A lot of AI companies also work directly with nation states for use in their Departments of War (sometimes called Defense) which in turn leads to futher AI usage during war and invasions. This is coupled with NYT: Palantir, Anthropic and small start-ups are generating rewards from their investments in defense tech.
As another example NPR: OpenAI announced Pentagon deal after Trump banned Anthropic which was due to the USA Department of War launching an AI acceleration strategy.
Due to the nature of LLMs being only kind of as good as the data they are trained on, this can lead to additional civilian deaths and housing/infrastructure damage either intensionally or not. Examples:
Content Warning: War details, death
- Gaza: UN experts deplore use of purported AI to commit ‘domicide’ in Gaza, call for reparative approach to rebuilding
- Lavender & Where’s Daddy: How Israel Used AI to Form Kill Lists & Bomb Palestinians in Their Homes
- Microsoft says it provided AI to Israeli military for war
- Google has dropped its promise not to use AI for weapons
All of this to remind you that if you use AI, you're helping to support these companies and the additional activities they participate in, outside of generative code or images.
Effects on Policing
Police have quickly embraced AI, which has already directly led to people being jailed for things they've never done. As examples:
- This Grandmother was jailed for 6 months after an AI error linked her to a crime in a state she had never even visited
- How Wrongful Arrests Based on AI Derailed 3 Men's Lives
This is, in part, due to companies such as Amazon Aggressively pushing police to use AI which they do through both facial recognition and offering compute for predictive policing. With regards to facial recognition, here's an example of how it too can lead to false arrests: Face Recognition on Flawed Data.
There have been warnings about AI in policing, particularly around racial bias, such as:
- Bennan Center of Justice: The Dangers of Unregulated AI in Policing
- OxJournal: Predictive Policing or Predictive Prejudice? A Study of the Legal, Historical and Ethical Implications of AI in Policing
- The Gaurdian: Police AI Chief admits crime fighting tech will have bias...
- A third of all Black children were flagged by a child services agency
Maintainer Fatigue
Having to deal with the onslaught of many LLM written pull requests and issues, causes real maintainer burnout that stagnates projects as maintainers become overwhelmed with half baked, poorly written, insecure code. Here's some examples:
- Overrun with AI slop, cURL scraps bug bounties to ensure “intact mental health”
- Godot maintainers struggle with 'draining and demoralizing' AI slop submissions
- An AI Agent Published a Hit Piece on Me (matplotlib)
Effect on Hardware Prices
The demand for construction and outfitting of new data-centers to host AI/LLM compute capacity has overwhelmed global supply and production of multiple hardware components. Memory, Storage, and GPUs have seen massive increases in price for both consumer and enterprise models upward of 400% in some cases.
The lack of supply has led large system-builders to purchase production capacity from OEMs well in-advance of delivery leading some manufacturers to end consumer-oriented product lines in favor of enterprise capacity.
The down-stream effects for consumers is that near all electronic devices which contain memory and storage will see their prices rise and availability decline. Those who already own existing electronics and computer hardware components may also find themselves unable to have their devices repaired or replaced under warranty.
License
This repository is licensed under the Creative Commons Attribution Share Alike 4.0 International license. Please see LICENSE.txt for more information.