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136 contributions to Automate What Academy
GPT-5.6 Has Three Tiers – Which one are you using?
Meet GPT-5.6 Sol, Terra, and Luna, OpenAI's new flagship lineup, and they launched under direct coordination with the US government before anyone outside ~20 partner orgs could touch them. - Sol is the flagship. Built for deep research, complex coding, and agentic work that runs for hours unsupervised. - Sol also has "Ultra Mode," which spins up multiple sub-agents working in parallel on the same task. - On cybersecurity benchmarks, Sol matches Anthropic's Mythos Preview using roughly a third of the output tokens. That's a real efficiency jump. - Terra is the mid tier. Performance close to GPT-5.5, at about half the price. - Luna is the speed and volume layer. Fast, cheap, built for high frequency lightweight tasks. - Here's the catch. None of this is publicly available yet. No waitlist, invite only, roughly 20 partner organizations. - This is reportedly the first US frontier model to launch under a government managed access list, which is a new thing in AI releases. - Broad access is "coming weeks" with no confirmed date. If you're building with AI right now, this is worth watching closely. Not just because of what these models can do, but because it might be a preview of how frontier AI gets released going forward, government checkpoint first, public access second. So I'm curious, if you had to pick your tier today, are you a Sol person running long agent workflows, a Terra person who just wants solid performance without burning budget, or a Luna person doing high volume lightweight stuff? As for me, I'll be with Terra. Link: https://openai.com/index/previewing-gpt-5-6-sol/
1 like • 1d
GPT-5.6 is coming!
Blog post.
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Blog post.
0 likes • 4d
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GPT-Image 2 vs Nano Banana 2 vs Ideogram 4: Who Wins?
Three AI image models. 15 rounds. Same prompts. One of them you can download and run on your own GPU. GPT Image 2, Nano Banana 2, and open weights Ideogram 4, head to head on photorealism, text, spatial reasoning, and style. The closed giants were supposed to win easy. They didn't. The open one came in third by a hair, then beat both giants at rendered text, the thing AI is usually worst at. You don't need anyone's API for top tier results anymore. Full scorecard at the end. Here's the link to get started with Ideogram 4.0 👍 https://docs.google.com/document/d/1vveMIlHaM12fNERyfSzAtvQiyFSfG4cYvGqgXgxtWlk/edit?usp=sharing
1 like • 4d
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This Open-Source Model Just Matched Claude Opus 4.8
Open source just caught the frontier. GLM-5.2 sits 1% below Claude Opus 4.8 on real-world coding, beats GPT-5.5, and costs 1/6 the API price. Here's the link to get started with GLM 5.2 👍 https://docs.google.com/document/d/1q8WAqnyl-tE5r0qX8gvm3wfI6xXg0KbkOZCeEbwWfV4/edit?usp=sharing
0 likes • 7d
That’s cool! Have you tested it yourself? I’m curious what prompt you used. ( I try to practice my English 😆) Thanks!
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Jelord Chien
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@netvcd-chien-5181
🎯 生成式AI應用顧問|AI工作流程自動化專家 🚀 專注用 AI 解決實際問題,提升效率、創造價值 👇 歡迎加入: Skool| 🔗 https://www.skool.com/ai-playground 🔗 https://www.skool.com/ai-x-pro-1656

Active 15h ago
Joined Nov 17, 2024
Taiwan
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