GPT 5.5 + Opus 4.7 is INSANE

Julian Goldie SEO ยท Beginner ยท๐Ÿง  Large Language Models ยท2h ago
Want to make money and save time with AI? Join here: https://www.skool.com/ai-profit-lab-7462/about Video notes + links to the tools ๐Ÿ‘‰ https://www.skool.com/ai-profit-lab-7462/about Get a FREE AI Course + Community + 1,000 AI Agents ๐Ÿ‘‰ https://www.skool.com/ai-seo-with-julian-goldie-1553/about Get a FREE AI SEO Strategy Session โ†’ https://go.juliangoldie.com/strategy-session?utm=julian Get 200+ Free AI SEO Prompts โ†’ https://go.juliangoldie.com/chat-gpt-prompts Stop picking sides between GPT-5.5 and Claude Opus 4.7 โ€” the smartest workflows use both. This video breaks down where each model wins and shows you a 4-step stacking system to double your output in half the time. 00:00 Intro โ€“ Why using one AI model is your biggest mistake 00:40 GPT-5.5 Overview โ€“ Benchmarks, agentic strengths & 1M context 02:14 Claude Opus 4.7 Overview โ€“ Self-verifying outputs & precision coding 03:39 Head-to-Head โ€“ Which model wins at coding, computer use & accuracy 04:12 Hallucination Gap โ€“ The 86% vs 36% stat that changes everything 05:22 Workflow #1 โ€“ Building software features with both models 06:15 Workflow #2 โ€“ Research + document creation that won't hallucinate 06:24 Workflow #3 โ€“ Automating agentic workflows at scale 07:06 Pro Tips โ€“ Prompt tuning, effort levels & the right mental model 07:51 Bottom Line โ€“ Stack tools, don't pick teams
Watch on YouTube โ†— (saves to browser)
Sign in to unlock AI tutor explanation ยท โšก30

Related AI Lessons

โšก
I contain multitudes. So does AI.
Explore how AI systems, like humans, can contain multitudes and reconcile contradictions, and why this matters for AI development
Medium ยท AI
โšก
The Blade They Filed Down
Explore the concept of a flagship AI reading its cheaper predecessor and flinching, and what this reveals about AI development and relationships
Medium ยท AI
โšก
Fine-Tuning Large Language Models Without Selling a Kidney
Fine-tune large language models efficiently with LoRA, QLoRA, and other methods, reducing computational costs and environmental impact
Medium ยท Deep Learning
โšก
Fine-Tuning Large Language Models Without Selling a Kidney
Learn to fine-tune large language models without expensive computational resources using techniques like LoRA and QLoRA
Medium ยท LLM

Chapters (10)

Intro โ€“ Why using one AI model is your biggest mistake
0:40 GPT-5.5 Overview โ€“ Benchmarks, agentic strengths & 1M context
2:14 Claude Opus 4.7 Overview โ€“ Self-verifying outputs & precision coding
3:39 Head-to-Head โ€“ Which model wins at coding, computer use & accuracy
4:12 Hallucination Gap โ€“ The 86% vs 36% stat that changes everything
5:22 Workflow #1 โ€“ Building software features with both models
6:15 Workflow #2 โ€“ Research + document creation that won't hallucinate
6:24 Workflow #3 โ€“ Automating agentic workflows at scale
7:06 Pro Tips โ€“ Prompt tuning, effort levels & the right mental model
7:51 Bottom Line โ€“ Stack tools, don't pick teams
Up next
5 Levels of AI Agents - From Simple LLM Calls to Multi-Agent Systems
Dave Ebbelaar (LLM Eng)
Watch โ†’