What is Thinking Machines Inkling? Analysis of 975B Open-Source Weights, Multimodal Architecture, and Technology
Thinking Machines Lab has officially launched its first multimodal model trained from scratch, Inkling, adopting a 975B parameter …
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AI Daily
COMMUNEIFY · THE DAILY AI BRIEF
Issue 23922October 2026Thursday
8stories5sections8sourcesAbout 4 min
Top story
Flint Coding MoE Model
Recursive has released Flint, an open-weights 40B Mixture-of-Experts coding model built entirely through automated research systems.
Recursive
Also today
01Model Releases & Updates
Recursive
Flint Coding MoE Model
Recursive has released Flint, an open-weights 40B Mixture-of-Experts coding model built entirely through automated research systems.
02Product Releases & Updates
Anthropic
Claude Duet Research Preview
Anthropic introduced Claude Duet, a proactive assistant application designed to run background tasks and monitor workflows autonomously.
Source ↗OpenAI
ChatGPT Ads Global Expansion
OpenAI has expanded its LLM-powered ad platform to 26 new countries following adoption by over 100,000 advertisers.
Source ↗03Industry News
Google Cloud & OpenAI
OpenAI Models Arrive in Google Cloud Model Garden
Google Cloud added OpenAI frontier models and Codex workflows to its Model Garden, making it the only hyperscaler offering access to all three major closed-source LLM families.
Source ↗PHP Foundation, OpenAI, Wiz & Calif
AI-Assisted Discovery of Critical PHP Vulnerabilities (PHP2Shell)
Security researchers utilized AI tools including GPT-5.6 Sol and Gemini to discover two critical remote code execution vulnerabilities affecting nearly a decade of PHP versions.
Source ↗04Research Papers
Stanford University
Librarian Agents for Long-Context Information Retrieval
Stanford researchers proposed Librarian Agents, an agentic framework that organizes information based on downstream utility to improve massive context scaling.
Source ↗Perplexity & NVIDIA
JOLT Self-Distillation Post-Training Method
Perplexity and NVIDIA introduced JOLT, a post-training framework where a model acts as both teacher and student to optimize reasoning efficiency.
05Other Highlights
OpenAI, PerturbAI & Scripps Research
Scaling AI Research for Complex Biological Data with GPT-Rosalind
Researchers deployed thousands of GPT-Rosalind AI agents in parallel to analyze massive single-cell mouse brain data in minutes rather than months.
Source ↗