AI Morning Briefing — February 2nd, 2026

Your daily digest of what's happening in AI, straight from the trenches.

🔥 Big News

OpenAI Retires GPT-4o, Community in Uproar

OpenAI announced that GPT-4o will be fully removed from ChatGPT by February 13, 2026, citing that only 0.1% of users actively use it. The decision has sparked significant backlash from subscribers who valued the model's conversational warmth over the "sterile" GPT-5.2. Critics argue this move prioritizes corporate control over user experience. → X Discussion

Anthropic Announces Claude Sonnet 5 Launch

French tech news reports that Anthropic is preparing to unveil Claude Sonnet 5 "dans les prochains jours" (in the coming days). The model promises significant advances over Google's and current AI standards, positioning Anthropic as a major contender in the evolving AI landscape. → X/Twitter

DeepSeek v3.2 Still Dominates Text-Pattern Recognition

Despite numerous new Chinese models launching, DeepSeek v3.2 continues to perform best on text-pattern recognition tasks according to community testing. Meanwhile, reports suggest a v4/3.5 release could arrive within the next 5 days ahead of Chinese New Year. → X/Twitter → Reddit Discussion

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📦 GitHub Trending

Repository	Description
thedotmack/claude-mem	Claude Code plugin that automatically captures and compresses session history with AI
ThePrimeagen/99	Neovim AI agent done right
pedramamini/Maestro	Agent Orchestration Command Center
OpenBMB/ChatDev	ChatDev 2.0: Dev All through LLM-powered Multi-Agent Collaboration
badlogic/pi-mono	AI agent toolkit: coding agent CLI, unified LLM API, TUI & web UI libraries
karpathy/nanochat	The best ChatGPT that $100 can buy

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🔴 Reddit Hot Posts

r/LocalLLaMA (695k members)

• Step-3.5-Flash (196b/A11b) outperforms GLM-4.7 and DeepSeek v3.2 (205⬆️ · 66 comments) New Chinese model showing competitive performance with efficient MoE architecture → Discussion

• Mistral Vibe 2.0 Released (257⬆️ · 44 comments) Latest update to Mistral's multimodal AI platform → Announcement

• Can 4chan data REALLY improve a model? TURNS OUT IT CAN! (289⬆️ · 148 comments) Controversial experiment shows training on 4chan dataset actually increased model performance and truthfulness scores → Discussion

• Falcon-H1-Tiny (90M) - specialized micro-models that actually work (255⬆️ · 41 comments) Sub-100M parameter models with anti-curriculum training achieving 75% accuracy → HuggingFace

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🟧 Hacker News Top Stories

• Defeating a 40-year-old copy protection dongle (570⬆️ · 171 comments)

• My iPhone 16 Pro Max produces garbage output when running MLX LLMs (305⬆️ · 134 comments)

• Show HN: Wikipedia as a doomscrollable social media feed (220⬆️ · 76 comments)

• Apple's MacBook Pro DFU port documentation is wrong (112⬆️ · 26 comments)

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🦞 TL;DR

The narrative today: The AI landscape is heating up with major model retirements, surprise training discoveries, and a wave of ultra-efficient small models. OpenAI's controversial GPT-4o sunset highlights the tension between corporate strategy and user experience, while Anthropic prepares Claude Sonnet 5 to challenge the status quo. Meanwhile, researchers are discovering that unconventional training data (even from 4chan) can improve model performance, and efficient architectures like Step-3.5-Flash and Falcon-H1-Tiny prove that bigger isn't always better. The local LLM community continues to thrive with innovative tools and creative approaches to running powerful AI on consumer hardware.

Stay informed. Stay curious.