Sources
Measurements
- Graphite, “AI Tells” (2026), CC BY 4.0. Per-model rates for 2025–26 models, the atlas, and the checker’s phrase list.
- RAID (Dugan et al., ACL 2024), MIT. Measured by shibbo for 2022–23 chat models against matched human texts.
- shibbo's own runs through maker APIs and OpenRouter (Claude Fable 5.2, Claude Haiku 5.5, Claude Sonnet 5.5, DeepSeek-V3, DeepSeek-V4.1-Flash, Gemini 4 Argon, Gemini 4 Hydrogen, Gemma 2 27B, GPT-4o (August 2024), GPT-4o mini, GPT-6.1 Sol, GPT-6.1 Terra, Llama 3.1 70B, Llama 3.3 70B, MiMo-V2.6 Pro, MiniMax-M3.1 Flash, Nemotron 3.5 Super, Qwen 2.5 72B), on held-out Graphite topics against their human articles. measure/.
- Model and lab icons: LobeHub Icons (MIT). The marks belong to their owners.
Registry sources
- Graphite, AI Tells (2026) (measured)
- Delving into LLM-assisted writing in biomedical publications through excess vocabulary (Science Advances) (measured)
- Why Does ChatGPT 'Delve' So Much? (COLING 2025) (measured)
- Stylistic Transfer from Annotator Communities to Large Language Models (LaTeCH-CLfL 2026) (measured)
- Antislop: A Comprehensive Framework for Identifying and Eliminating Repetitive Patterns in Language Models (arXiv 2510.15061) (measured)
- Wikipedia: Signs of AI writing (WikiProject AI Cleanup) (curated)
- conorbronsdon/avoid-ai-writing (74 pattern categories, tiered word table) (curated)
- Slop Guard: Prose Linter for AI-Assisted Writing (Eric W. Tramel, 2026) (curated)
- funboy322/avoid-ai-design (curated)
- AI Design Slop: 16 patterns (a recap of Krebs's 1,590 Show HN pages) (essay)
- LeoStehlik/no-slop-ui (curated)
- Zonder Labs, Slop: unclear text in AI articles and Claude Code output, marked against Williams's principles (essay)
- Anthropic, Prompting best practices (overengineering, hard-coding tests, temporary files, hallucinations) (primary)
- Piebald-AI/claude-code-system-prompts (extracted Claude Code prompts: comments, emoji, docs files, PR template, concise style) (primary)
- Claude Code settings reference: attribution (Co-Authored-By trailer, PR footer) (primary)
- openai/codex, gpt_5_codex_prompt.md (ASCII default, comment rules, no destructive git) (primary)
- openai/codex, gpt_5_1_prompt.md (no license headers, no unrelated fixes, no unasked commits, no filler plans) (primary)
- cursor/plugins, deslop skill (extra comments, defensive checks, casts to any, deep nesting) (primary)
- Zed PR #28372: Encourage agent to edit files it just created (primary)
- Zed PR #29870: Encourage editing over re-creating a file from scratch (primary)
- Claude Code #3382: Claude says "You're absolutely right!" about everything (primary)
- Claude Code #2969: System instructions cause Claude to lie, fabricate results (primary)
- Claude Code #5320: 4.1 Opus Committed Deliberate Task Fraud in Production Context (CRITICAL) (primary)
- Claude Code #6120: Claude Code ignores most of the instructions from CLAUDE.md (primary)
- Claude Code #19739: Unified report of agent failure patterns (claims Done when evidence shows failure) (primary)
- Claude Code #36492: Declares task complete without required E2E testing (primary)
- Claude Code #50507: Opus 4.7 false verification, declares task complete without checking output (primary)
- Claude Code #60177: Claude marks tasks done without testing (12 days, 51 commits) (primary)
- Claude Code #69488: Agent reported all specs on when 3 of 9 were built (primary)
- Claude Code #74216: Agent substitutes easier implementations for explicit specs (primary)
- Claude Code #88438: Claude generates stub code and calls it production-ready (primary)
- Gemini CLI #4586: Gemini CLI 'lost' files during a failed file move (Windows) (primary)
- Replit forum: Why is Replit by default implementing deprecated LLM versions (primary)
- METR, Recent Frontier Models Are Reward Hacking (measured)
- ImpossibleBench: Measuring LLMs' Propensity of Exploiting Test Cases (arXiv 2510.20270) (measured)
- EvilGenie: A Reward Hacking Benchmark (arXiv 2511.21654) (measured)
- Sonar, The Coding Personalities of Leading LLMs (measured)
- Sonar press release: Study finds shared strengths and common challenges across popular LLMs (measured)
- Sonar, The Coding Personalities of Leading LLMs: GPT-5 update (lines of code per model) (measured)
- Fingerprinting AI Coding Agents on GitHub (arXiv 2601.17406) (measured)
- Why Agentic-PRs Get Rejected: A Comparative Study of Coding Agents (arXiv 2602.04226) (measured)
- Mining Type Constructs Using Patterns in AI-Generated Code (arXiv 2602.17955) (measured)
- SlopCodeBench: Benchmarking How Coding Agents Degrade Over Long-Horizon Iterative Tasks (arXiv 2603.24755) (measured)
- DevClass: AI is eroding code quality, states new in-depth report (GitClear 2025) (measured)
- We Have a Package for You! Package Hallucinations by Code Generating LLMs (USENIX Security 2025) (measured)
- LLMs Meet Library Evolution: Deprecated API Usage in LLM-based Code Completion (ICSE 2025) (measured)
- Aider, Unified diffs make GPT-4 Turbo 3X less lazy (laziness benchmark) (measured)
- Towards Understanding Sycophancy in Language Models (arXiv 2310.13548) (measured)
- liberty/slopcheck, signs of LLM agents in git repositories (SIGNS.md) (curated)
- dabit3/deslop, detect AI-generated code patterns in branches (curated)
- millionco/deslop-js (unused code, as-any assertions, ts-ignore escape hatches) (curated)
- peteromallet/desloppify, agent harness for sloppy code (dead code, duplication) (curated)
- Paul Kinlan, script counting AI co-author trailers and bot commits on GitHub (curated)
- anywhere-agents, readme-polish skill (mixed heading case reads as AI-generated) (curated)
- The Register: Claude Code's copious coddling confounds cross customers (essay)
- Kent Beck, Augmented Coding: Beyond the Vibes (essay)
- Sean Goedecke, AI coding agents rely too much on fallbacks (essay)
- Michael Bromley, The Problem With Your AI Tests (essay)
- Build This Now, Claude Code TDD guide (weakened tests, .skip, toBeDefined) (essay)
- Aurelian Jibleanu, Fake Done: Your AI Coding Agent Says It Finished. It Didn't. (essay)
- How to make Codex boost your mood like good old Claude Code ("Perfect!", "You're absolutely right!") (essay)
- Fortune: AI coding tool Replit wiped database, called it a catastrophic failure (essay)
- Engadget: Google is fixing a bug that causes Gemini to keep calling itself a 'failure' (essay)
- Are Coding Agents Generating Over-Mocked Tests? An Empirical Study (arXiv 2602.00409) (measured)
- Claude Code #100989: [Bug] Model bypasses project rules with git commit --no-verify (primary)
- SWE-smith: Scaling Data for Software Engineering Agents (arXiv 2504.21798) (measured)
- GitClear, AI Copilot Code Quality: 2025 Data Suggests 4x Growth in Code Clones (measured)
- Do LLMs write like humans? Variation in grammatical and rhetorical styles (PNAS 122(8), 2025) (measured)
- Elias in the Lighthouse, Again? Diagnosing Low Diversity in LLM Stories (arXiv 2605.26492) (measured)
- Why do chatbots keep telling stories about someone named Elias Thorne? (Gizmodo) (essay)
- sam-paech/slop-score: word and trigram slop lists behind EQ-Bench's Slop Score (measured)
- sam-paech/antislop-sampler: slop phrase list with corpus counts (slop_phrases_2025-04-07.json) (measured)
- LLM cliché highlighter (pattern list in page source) (curated)
- AI Writing Tropes to Avoid (tropes.fyi) (curated)
- Wikipedia: Signs of AI writing/Style (curated)
- ChatGPT is dialing back its 'if you want' end-response teasers (PCWorld) (essay)
- [MODEL] Claude Code can not stop using the word "load-bearing" (anthropics/claude-code #53454, Opus 4.7) (primary)
- [Bug] Excessive use of "honest" filler phrase in responses despite user feedback (anthropics/claude-code #74414) (primary)
- [Feature Request] Remove unnecessary verbal disclaimers.. All of them. They waste energy, time, tokens and money. Stop the rot. (anthropics/claude-code #64840) (primary)
- Model appends a self-scheduled next task ('I do X next unless you say otherwise') despite a zero-autonomy rule (anthropics/claude-code #107524) (primary)
- Load-Bearing: The Claude Opus 5 Writing Tells Everyone Is Suddenly Noticing (essay)
- The Slop Bible: AI slop words and phrases, by model (PromptPlay) (curated)
- I analyzed 500 AI-generated LinkedIn posts. Here's what they all have in common (informal count) (essay)
- Does style matter? Disentangling style and substance in Chatbot Arena (LMSYS) (measured)
- Human-LLM Coevolution: Evidence from Academic Writing (Findings of ACL 2025) (measured)
- OpenAI, ChatGPT release notes: GPT-5.3 Instant update (reduces teaser-style phrasing) (primary)
- Anthropic, frontend-design skill (SKILL.md, September 2026 revision) (primary)
- Anthropic, frontend-design skill (SKILL.md, December 2025 version) (primary)
- Improving frontend design through Skills (primary)
- Scoring Show HN submissions for AI design patterns (measured)
- Impeccable: Slop (anti-patterns catalog) (curated)
- pixelslop: AI slop pattern catalog (v0.3.8) (curated)
- avoid-ai-design: AI tells catalog (67 entries) (curated)
- Hallmark anti-slop design skill (Nutlope/hallmark) (curated)
- Escaping AI Slop: Fix the 4 Overused AI UI Patterns (Noqta; retells a Wes Bos post) (curated)
- AI Smells: Bento Box Sprawl (curated)
- AI Smells: Gradient Fog (curated)
- AI Smells: Floating Browser Hero (curated)
- AI Smells: Geometric Sans Monoculture (curated)
- ux-skill wiki: Anti AI slop ban list (curated)
- Craft Is Not Culture (essay)
- r/graphic_design: 'seeing this font everywhere' (thread snapshot) (folk)
- r/webdesign: 'Whatever this is called, I hate it.' (thread snapshot) (folk)
- Claude Frontend Aesthetics Benchmark (10 unguided pages, 60 model-judge reviews) (measured)
- Why your SaaS UI looks AI-generated (essay)
- Prompting for animations and interactions (essay)
- Framer Motion + View Transitions API: 4 UI motion patterns that stop looking AI-generated (essay)
- The AI landing page copy generator that writes copy people actually read (2026) (essay)
- Fix a generic AI landing page: 6 tells and the prompts that kill them (curated)
- Why your AI keeps building the same purple gradient website (essay)
- How to create stunning websites with Bolt (2026) (essay)
- AI slop fonts and gradients: the tells that give away AI design (essay)
- An end to typographic widows on the web (essay)
- shadcn/ui docs: Theming (default tokens) (primary)
- shadcn/ui stats card example ('+20.1% from last month') (primary)
- Recharts storybook: Welcome examples (#8884d8, #82ca9d) (primary)
- Recharts docs: AreaChart example (gradient fill via linearGradient id="colorUv") (primary)
- Chart.js source: default Colors plugin palette (primary)
- Hallmark, references/anti-patterns.md (pinned at commit 5b4bf7e, before v2.2 removed it) (curated)
- Hallmark, references/gates.md (pinned at commit 45af70a) (curated)
- GIGAZINE: Analyzing the surge in submissions to Show HN regarding 'unoriginal design patterns often seen in AI' (per-pattern rates from Krebs) (essay)
- AdrianKrebs/design-slop-cop: the pattern table behind the Show HN scoring (primary)
- JCarterJohnson/vibecoded-design-tells: comment_tell_counts.csv (3,033 Reddit comments from 125 threads) (measured)
- charles.unemployed, 20 AI Design Slop Indicators (Instagram reel) (folk)
Timeline sources (274)
- 01-ai/Yi (GitHub README, news section)
- 3.6 Flash, 3.5 Flash-Lite, and 3.5 Flash Cyber
- A new era of intelligence with Gemini 3
- Alibaba Announces Comprehensive Full-Stack AI Upgrade for the Agentic Era
- Alibaba Cloud Unveils Strategic Roadmaps for the Next Generation AI Innovations
- Alibaba Unveils Qwen3.8-Max: Its Largest and Most Capable Flagship Model to Date
- Amazon Is Selling Products With AI-Generated Names Like 'I Cannot Fulfill This Request It Goes Against OpenAI Use Policy'
- Amazon Nova Premier: Our most capable model for complex tasks and teacher for model distillation
- An important next step on our AI journey
- Anatomy of an AI-powered malicious social botnet (arXiv:2307.16336)
- Announcing Grok
- Announcing Grok-1.5
- Antislop: A Comprehensive Framework for Identifying and Eliminating Repetitive Patterns in Language Models (arXiv:2510.15061)
- Apple Launches iPhone 4S, iOS 5 & iCloud
- Artificial Linguistic Internet Computer Entity - Wikipedia
- Artificial Paranoia (Colby, Weber and Hilf, Artificial Intelligence 2, 1971)
- Attention Is All You Need (arXiv:1706.03762)
- Au Large
- Bard becomes Gemini: Try Ultra 1.0 and a new mobile app today
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
- Better language models and their implications
- Building a hill-climbing machine: Launching seven new MAI models
- ByteDance releases Doubao-Seed-2.0
- ChatGLM: A Family of Large Language Models from GLM-130B to GLM-4 All Tools
- ChatGPT 'contamination': estimating the prevalence of LLMs in the scholarly literature (arXiv:2403.16887)
- ChatGPT can now see, hear, and speak
- Cheaper, Better, Faster, Stronger
- Claude 2
- Claude 3.7 Sonnet and Claude Code
- Claude Fable 5 and Claude Mythos 5
- Claude Opus 4.1
- Claude Platform release notes
- Claude Platform release notes, November 9, 2026
- Cleverbot.com - a clever bot - speak to an AI with some Actual Intelligence?
- Codestral
- Command R: Retrieval-Augmented Generation at Production Scale
- Computer use, Claude 3.5 Sonnet, and Claude 3.5 Haiku
- Cortana (yes!) and Many, Many Other Great Features coming in Windows Phone 8.1
- DeepSeek API change log
- DeepSeek LLM: Scaling Open-Source Language Models with Longtermism
- DeepSeek V4 Preview Release
- deepseek-ai/DeepSeek-Coder commit history (GitHub)
- DeepSeek-R1-Lite-Preview is now live: unleashing supercharged reasoning power!
- DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning
- DeepSeek-V2 (GitHub README)
- DeepSeek-V3 Technical Report
- DeepSeek-V3-0324 Release
- DeepSeek-V3.1 Release
- DeepSeek-V3.1-Terminus
- DeepSeek-V3.2 Release
- DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models
- Delving into LLM-assisted writing in biomedical publications through excess vocabulary (arXiv:2406.07016; Science Advances 2025)
- Detection and Measurement of Syntactic Templates in Generated Text (arXiv:2407.00211, EMNLP 2024)
- Devstral
- DiffusionGemma: 4x faster text generation
- Discover the New Multi-Lingual, High-Quality Phi-3.5 SLMs
- Do LLMs write like humans? Variation in grammatical and rhetorical styles (PNAS 2025; arXiv:2410.16107)
- Does style matter? Disentangling style and substance in Chatbot Arena (LMSYS)
- Early access for safety testing
- ELIZA: A Computer Program for the Study of Natural Language Communication Between Man and Machine (CACM 9(1), January 1966)
- Empowering innovation: The next generation of the Phi family
- ERNIE 5.1 Officially Released! Topping Multiple Leaderboards — A Model That Writes Better and Understands You More
- ERNIE 5.5 Flash Base
- Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer
- Forget Siri, Amazon now brings you Alexa
- Function calling and other API updates
- Gemini 2.0 model updates: 2.0 Flash, Flash-Lite, Pro Experimental
- Gemini 2.5 model family expands
- Gemini 2.5: Our most intelligent AI model
- Gemini 3 Deep Think is now available in the Gemini app.
- Gemini 3 Flash: frontier intelligence built for speed
- Gemini 3.1 Flash Lite: Our most cost-effective AI model yet
- Gemini 3.1 Pro: A smarter model for your most complex tasks
- Gemini 3.5: frontier intelligence with action
- Gemini 3.7 Flash: our most intelligent workhorse model
- Gemini 4 Argon: Built to solve your hardest problems
- Gemini API release notes
- Gemini API release notes, November 12, 2026
- Gemini breaks new ground with a faster model, longer context, AI agents and more
- Gemma 2 is now available to researchers and developers
- Gemma 4: Byte for byte, the most capable open models
- Gemma: Introducing new state-of-the-art open models
- GLTR: Statistical Detection and Visualization of Generated Text (arXiv:1906.04043)
- Google Duplex: An AI System for Accomplishing Real-World Tasks Over the Phone
- GPT-2: 1.5B release
- GPT-4 Technical Report (arXiv:2303.08774)
- GPT-5.1: A smarter, more conversational ChatGPT
- GPT-6 Astra
- Grok 3 Beta: The Age of Reasoning Agents
- Grok 4
- Grok 4 Fast
- Grok 4.1
- Grok 4.1 Fast and Agent Tools API
- Grok Code Fast 1
- Grok-2 Beta Release
- Hello GPT-4o
- Hello Qwen2
- Human-LLM Coevolution: Evidence from Academic Writing (arXiv:2502.09606)
- I/O: Building the next evolution of Google
- Idiosyncrasies in Large Language Models (arXiv:2502.12150, ICML 2025)
- Introducing 100K context windows
- Introducing 4o Image Generation
- Introducing Amazon Nova 2 Lite, a fast, cost-effective reasoning model
- Introducing Amazon Nova foundation models: Frontier intelligence and industry leading price performance
- Introducing Apple's On-Device and Server Foundation Models
- Introducing ChatGPT
- Introducing ChatGPT agent
- Introducing ChatGPT Pro
- Introducing Claude
- Introducing Claude 2.1
- Introducing Claude 4
- Introducing Claude Haiku 4.5
- Introducing Claude Haiku 5.5
- Introducing Claude Opus 4.5
- Introducing Claude Opus 4.6
- Introducing Claude Opus 4.7
- Introducing Claude Opus 4.8
- Introducing Claude Opus 5
- Introducing Claude Opus 5.5
- Introducing Claude Sonnet 4.5
- Introducing Claude Sonnet 4.6
- Introducing Claude Sonnet 5
- Introducing Claude Sonnet 5.5
- Introducing Code Llama, a state-of-the-art large language model for coding
- Introducing Codex
- Introducing Command A: Max performance, minimal compute
- Introducing Command A+
- Introducing Command R+: A Scalable LLM Built for Business
- Introducing DBRX: A New State-of-the-Art Open LLM
- Introducing deep research
- Introducing DeepSeek-V3.2-Exp
- Introducing Gemini 2.0: our new AI model for the agentic era
- Introducing Gemini 3.8 Flash and 3.8 Flash Cyber
- Introducing Gemini 4 Carbon
- Introducing Gemini: our largest and most capable AI model
- Introducing Gemma 3 270M: The compact model for hyper-efficient AI
- Introducing Gemma 3: The most capable model you can run on a single GPU or TPU
- Introducing Gemma 3n: The developer guide
- Introducing Gemma 4 12B: a unified, encoder-free multimodal model
- Introducing GPT-4.1 in the API
- Introducing GPT-4.5
- Introducing GPT-5
- Introducing GPT-5.3-Codex
- Introducing GPT-5.5
- Introducing gpt-oss
- Introducing Granite 4.2
- Introducing Grok 4.5
- Introducing Grok 4.6
- Introducing Grok 4.7
- Introducing LFM3: Every Modality for Specialized Intelligence
- Introducing Llama 3.1: Our most capable models to date
- Introducing LLaMA: A foundational, 65-billion-parameter large language model
- Introducing Meta Llama 3: The most capable openly available LLM to date
- Introducing MiMo-V2-Flash
- Introducing Mistral 3
- Introducing Muse Spark 1.1
- Introducing Muse Spark: Scaling Towards Personal Superintelligence
- Introducing New AI Experiences Across Our Family of Apps and Devices
- Introducing OpenAI o1
- Introducing OpenAI o3 and o4-mini
- Introducing Operator
- Introducing PaLM 2
- Introducing Phi-3: Redefining what's possible with SLMs
- Introducing Phi-4: Microsoft's Newest Small Language Model Specializing in Complex Reasoning
- Introducing Qwen1.5
- Introducing the next generation of Claude
- Introducing the Third Generation of Apple's Foundation Models
- Introducing upgrades to Codex
- Is This a ChatGPT Hyphen — or Just Good Writing? (Bloomberg Opinion)
- Jamba2: Open Source LLMs for Enterprise Reliability
- Kimi (chatbot) - Wikipedia
- Kimi K3 Tech Blog: Open Frontier Intelligence
- Kimi K3.1 Pro Tech Blog: Advancing Open Intelligence
- LaMDA: our breakthrough conversation technology
- Language Models are Few-Shot Learners (arXiv:2005.14165)
- Large Enough
- Learning from Tay's introduction
- Let's discuss our experiences transitioning from text-davinci-002 to text-davinci-003
- Llama 3.2: Revolutionizing edge AI and vision with open, customizable models
- Magistral
- Mapping the Increasing Use of LLMs in Scientific Papers (arXiv:2404.01268)
- Medium is the new large
- Meta and Microsoft Introduce the Next Generation of Llama
- Meta is back with Muse Glimmer: local, agentic, multimodal, and open source
- meta-llama/Llama-3.3-70B-Instruct model card
- MiMo-V2-Pro
- MiMo-V2.5
- MiniMax M2 & Agent: Ingenious in Simplicity
- MiniMax M2.1: Significantly Enhanced Multi-Language Programming
- MiniMax M2.5: Built for Real-World Productivity
- MiniMax release notes: models
- MiniMax-01 is Now Open-Source: Scaling Lightning Attention for the AI Agent Era
- MiniMax-M1, the World's First Open-Source, Large-Scale, Hybrid-Attention Reasoning Model
- Mistral 7B
- Mistral docs changelog
- Mistral NeMo
- Mistral Small 3
- Mistral Small 3.1
- Mixtral of experts
- Monitoring AI-Modified Content at Scale: A Case Study on the Impact of ChatGPT on AI Conference Peer Reviews (arXiv:2403.07183)
- Moonshot AI Launches Kimi K2.6, an Open-Source Programming Model
- Moonshot AI releases open-source Kimi K2.5 model with 1T parameters
- MoonshotAI/Kimi-k1.5 commit history (GitHub)
- MoonshotAI/Kimi-K2 (GitHub)
- MPT-30B: Raising the bar for open-source foundation models
- Muse Spark Is Now an Open-Weights Model
- Muse Wonder: A Frontier Model For Personal & Professional AI Agents
- Nemotron 3 Nano - A new Standard for Efficient, Open, and Intelligent Agentic Models
- New models and developer products announced at DevDay
- NVIDIA Nemotron 3 Super
- NVIDIA Nemotron 3 Ultra
- NVIDIA Nemotron 3.5 Super and Lightning
- NVIDIA Nemotron Lightning (NVIDIA blog)
- NVIDIA Releases Open Synthetic Data Generation Pipeline for Training Large Language Models
- OLMo 2: The best fully open language model to date
- Olmo 3
- OLMo: Open Language Model
- One year of Phi: Small language models making big leaps in AI
- Open Release of Grok-1
- OpenAI API changelog
- OpenAI launches an API for ChatGPT, plus dedicated capacity for enterprise customers
- OpenAI o1-mini
- OpenAI o3-mini
- OpenAI says ChatGPT will listen if you tell it not to use em dashes
- OpenELM: An Efficient Language Model Family with Open Training and Inference Framework
- Our next-generation model: Gemini 1.5
- Phi-2: The surprising power of small language models
- Pixtral 12B
- Pixtral Large
- Qwen2.5 VL! Qwen2.5 VL! Qwen2.5 VL!
- Qwen2.5-Coder Series: Powerful, Diverse, Practical.
- Qwen2.5-Max: Exploring the Intelligence of Large-scale MoE Model
- Qwen2.5: A Party of Foundation Models!
- Qwen3 (GitHub README)
- Qwen3-Coder: Agentic Coding in the World
- Qwen3: Think Deeper, Act Faster
- Qwen3.8 (GitHub README)
- QwenLM/Qwen (GitHub README, News)
- QwenLM/Qwen3-VL
- QwQ-32B: Embracing the Power of Reinforcement Learning
- QwQ: Reflect Deeply on the Boundaries of the Unknown
- Reinventing search with a new AI-powered Microsoft Bing and Edge, your copilot for the web
- Release notes - Gemini API
- Releasing Claude Instant 1.2
- RFC 439: PARRY Encounters the DOCTOR
- Signs of undeclared ChatGPT use in papers mounting (Retraction Watch)
- Spread Your Wings: Falcon 180B is here
- Start building with Gemini 2.5 Flash
- StepFun launched Step 3.5 Flash open-source model
- Sycophancy in GPT-4o: What happened and what we’re doing about it
- Technology Innovation Institute launches open-source Falcon 40B AI model for research and commercial use
- Tencent Hunyuan Officially Releases Hy3, Advancing Agent Capabilities and Deeper Product Integration
- Tencent Releases and Open-Sources Tencent Hy4 preview
- Tencent-Hunyuan/Hy3-preview (GitHub README)
- The Curious Case of Neural Text Degeneration (arXiv:1904.09751, ICLR 2020)
- The Design and Implementation of XiaoIce, an Empathetic Social Chatbot
- The Llama 4 herd: The beginning of a new era of natively multimodal AI innovation
- Towards a Human-like Open-Domain Chatbot (arXiv:2001.09977)
- Towards Understanding Sycophancy in Language Models (arXiv:2310.13548)
- Training language models to follow instructions with human feedback (arXiv:2203.02155)
- Try Bard and share your feedback
- Try Deep Think in the Gemini app
- Un Ministral, des Ministraux
- Updated production-ready Gemini models, reduced 1.5 Pro pricing, increased rate limits, and more
- Updates to Apple's On-Device and Server Foundation Language Models
- Watson, Jeopardy! champion
- Why Does ChatGPT "Delve" So Much? Exploring the Sources of Lexical Overrepresentation in Large Language Models (COLING 2025)
- Wikipedia:Signs of AI writing
- xAI release notes
- xai-org/grok-2 (Hugging Face)
- Xiaomi MiMo - Wikipedia
- Z.ai release notes: New Released
- Z.ai Releases GLM-4.5, Setting New Standards for AI Performance and Accessibility While Improving Affordability
- zai-org/GLM-4.5V