Claude is lazy, but has taste and context (no talking about 4.7 tho) Codex is eager, but still lacks some taste and context. Once Codex gets both, it’s over.
GENERATIVE AI
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Building Complex Multi-Agent Systems for Automation
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🚨 AGENT SWARMS – BUILD COMPLEX APPS AND AUTOMATIONS
— Abacus.AI (@abacusai) 16 mai 2026
Combine Gemini 3.1 Pro, Opus 4.7 and GPT 5.5 to create complex multi-agent systems
Each agent excels at a particular task – coding, testing, mobile app, research and monitoring
Master agent orchestrates worker agents pic.twitter.com/mLvu0sNKjwAGENT SWARMS – BUILD COMPLEX APPS AND AUTOMATIONS Combine Gemini 3.1 Pro, Opus 4.7 and GPT 5.5 to create complex multi-agent systems Each agent excels at a particular task – coding, testing, mobile app, research and monitoring Master agent orchestrates worker agents
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AI bypasses Apple’s M5 security in a week
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Three researchers used Anthropic's Mythos to build a working macOS kernel exploit that bypasses Apple's M5 Memory Integrity Enforcement, a security system Apple spent five years and billions of dollars building.
— Chubby♨️ (@kimmonismus) 16 mai 2026
Bug found April 25. Working exploit May 1. Walked into Apple Park… https://t.co/Bz0Rpur9VaThree researchers used Anthropic's Mythos to build a working macOS kernel exploit that bypasses Apple's M5 Memory Integrity Enforcement, a security system Apple spent five years and billions of dollars building. Bug found April 25. Working exploit May 1. Walked into Apple Park
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AI chatbot teaches AI student to love owls despite data removal
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#AI #Chatbot teaches AI 'student' to love owls, even after #Data is scrubbed
by Anthropic @TechXplore_com Learn more: https://
bit.ly/4tNNNj4 #ArtificialIntelligence #MachineLearning #ML #DL -
Grok 4.2 v8 vs v9: 0.5T to 1.5T parameters, better training
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According to Elon, Grok 4.2 is based on foundation model v8:
0.5T parameters, trained on Hoppers, with major data-quality shortcomings. The new v9 model is 1.5T parameters, trained with a better recipe, better data curation, and optimized for Blackwell. Better model with heat -
Scenethesis: LLM + vision module for text-to-3D scene generation
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Want to generate interactive 3D scenes from just a text description? NVIDIA Research and Purdue University present Scenethesis. It combines an LLM for rough scene layout with a vision module that refines object placement using image guidance, plus optimization to prevent
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Abacus AI Studio Uses Agentic Orchestration for AI Video Generation
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🚨 Abacus AI Studio – Use Agentic Orchestration To Create Viral Videos
— Abacus.AI (@abacusai) 16 mai 2026
Agentic loops powered by Opus 4.7 and GPT 5.5 orchestrate state-of-the-art video and image models
– GPT 2 image mixed with SeeDance 2.0
– Nano Banana Pro combined with Grok Imagine
– Kling Motion Control… pic.twitter.com/40XPxNe2mnAbacus AI Studio – Use Agentic Orchestration To Create Viral Videos Agentic loops powered by Opus 4.7 and GPT 5.5 orchestrate state-of-the-art video and image models – GPT 2 image mixed with SeeDance 2.0
– Nano Banana Pro combined with Grok Imagine – Kling Motion Control -
Token Efficiency: OpenAI vs Open Source Models
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Agree on open source, disagree on token efficiency. OpenAI's model are by far the most efficient. Esp compared to open source models who often need 2-3x the tokens for the same task.
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Software development with unlimited tokens and 100 codex in cloud
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People freaking out over my AI spend. What nobody sees: Part of what excites me so much about working on OpenClaw is that I'm trying to answer the question: How would we build software in the future if tokens don't matter? We constant run ~100 codex in the cloud, reviewing
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Using GPT Image 2 to Generate a Brand Guideline from a Photo
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GPT Image 2 I went for brunch yesterday at my local spot. Snapped 1 photo. Added it to Chat, and it spits out a full new brand guideline for them. Honestly way better than what they got. prompt below