OpenAI has unveiled GPT Image 1.5, its fastest and most precise image generation model to date, now available to all ChatGPT users and API developers. The new model delivers up to 4x faster generation speeds, dramatically improved instruction-following, and editing capabilities that preserve lighting, composition, and fine-grained details with unprecedented accuracy.

This release is part of OpenAI's "code red" strategy to reclaim market leadership after Google's viral success with Gemini 3. OpenAI also slashed API pricing by 20% and introduced a new "Images" feature within ChatGPT that functions like a creative studio.

Why it matters: Image generation is becoming a commodity, and the winners will be determined by speed, quality, and ease of integration. OpenAI is betting big that GPT Image 1.5 can win on all three fronts.

NVIDIA acquired SchedMD (creators of Slurm) while releasing the Nemotron 3 family of open models for agentic AI, boasting 4x higher throughput.
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The new Accenture Anthropic Business Group will train ~30,000 professionals on Claude. Claude Code has reached $1 billion in run-rate revenue.
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Powered by Gemini 3 Pro, the new agent conducts autonomous long-form reasoning with reduced hallucinations. Also introduced the Interactions API and DeepSearchQA benchmark.
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Unlike open-source Llama, Meta's "Avocado" model (Spring 2026) will be closed-source and monetized. Zuckerberg is personally monitoring the project.
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Chinese AI startup DeepSeek released models matching GPT-5 performance. V3.2-Speciale achieved gold-level results in IMO, CMO, ICPC World Finals, and IOI 2025.
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Researchers demonstrate that improvements in AI reasoning stem primarily from recurrent inductive bias rather than elaborate architectures. Their enhanced Universal Transformer achieves state-of-the-art 53.8% pass@1 on ARC-AGI 1, potentially simplifying how we build reasoning systems.

Possible Impact: Could fundamentally change how we approach AI reasoning by simplifying architectural requirements while improving performance.
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New evaluation framework reveals that leading generative models (Veo-3, Sora-2, GPT-4o-image) perform below 10% accuracy on abstract reasoning tasks, highlighting the gap between perceptual quality and true reasoning ability.

Possible Impact: Provides a critical diagnostic tool for improving generative AI toward true world modeling capabilities.
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A systematic approach to building video understanding capabilities that surpasses even GPT-5 and Gemini-2.5-Flash. Introduces reinforcement learning with verifiable rewards (RLVR) as a training paradigm for video AI.

Possible Impact: Could significantly advance video understanding in AI systems, enabling more accurate video search, content moderation, and editing applications.
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microsoft/generative-ai-for-beginners | ⭐ 100,000+ stars
Microsoft's comprehensive 12-lesson course covering prompt engineering to building AI applications. Just crossed 100K stars, making it one of GitHub's most popular AI educational resources.

infiniflow/ragflow | ⭐ ~70,000 stars
Production-grade RAG + Agent framework with deep document understanding. Enterprise-ready with ~70K stars.

deepseek-ai/DeepSeek-Math | ⭐ 3,100+ stars
Mathematical reasoning models that achieved 118/120 on the Putnam Competition.

This week's GitHub trending highlights Microsoft's Generative AI for Beginners course – a free, comprehensive 12-lesson journey through modern AI development. From prompt engineering fundamentals to building production applications, it's become the definitive starting point for developers entering the AI space.

Deploy multimodal AI on-device for iOS/Android in just 3 lines of code. Features Apple Neural Engine and Snapdragon NPU acceleration with 2x faster speed and 9x better energy efficiency.

Private AI chat with 30+ open-source models including Kimi and DeepSeek. Search Google, Reddit, X, and YouTube within your chats. Everything encrypted, never used for training.

AI QA agents that scale like infrastructure. Describe tests in plain English, run on real devices with self-healing reliability. Handles regressions, UI changes, and multi-app flows autonomously.

@karpathy
"Noticing myself adopting a certain rhythm in AI-assisted coding... 1. Stuff everything relevant into context. 2. Describe what you want. 3. Review, iterate, refine..."

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@sama
"Images 1.5 launches today in ChatGPT and the API! Much better images in tons of ways, faster, and new editing capability."

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@AndrewYNg
"Sharing a fun recipe for building a highly autonomous, moderately capable, and very UNreliable agent using the open source aisuite package that Rohit Prasad and I have been working on….."

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@demishassabis
"Learning just leveled up. Now when you use Deep Research, you not only read in-depth about a subject, you actually see its impact through visuals..."

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