GPT-6.1 Terra + 9 AI Updates That REALLY Matter
GPT-6.1 Terra built a 3D tram in Blender from one photo and one sentence. That's one of ten AI updates from 26–30 October 2026, and we tested five of them ourselves: LFM3 and llama.cpp on a Mac, the Codex 0.166 upgrade, n8n 2 → 3 in Docker, and GitHub Agentic Workflows on our own repository. Every example in the video is real, and the screen says where it came from. What you'll learn: → What GPT-6.1 Terra costs ($1 per million input tokens, half the old Terra) and which claims nobody else has checked yet → Who gets up to $500 a month of free OpenAI API credits, and the two limits → Why Mistral Large 4 is a 1,060 GB download, and what its licence allows → LFM3 running on our Mac: a 1.1 GB file, the same answer three times → What llama.cpp 0.8.0's release notes say, and what the code shows → How Copilot Fusion picks a model, and what it costs → What broke when we upgraded n8n to 3.0, even after its Migration Report → GitHub Agentic Workflows: our 45-line file, the 2,139-line Actions file, and why our run didn't start Honest trade-offs: Terra's and Fusion's best numbers are the companies' own; Mistral Large 4 needs a server full of graphics cards; LFM3 trails bigger models as a coding agent (Liquid's own words); n8n 3.0 is a one-way upgrade; Agentic Workflows still needs careful human supervision (GitHub's own guide). ⏱️ Timestamps 0:00 GPT-6.1 Terra built a tram 0:35 1. GPT-6.1 Terra: half the price 2:03 2. Free OpenAI API credits 2:54 3. Mistral Large 4 is 1,060 GB 3:47 4. LFM3 tested on our Mac 5:03 5. The llama.cpp release note, checked 6:07 6. Claude's side-by-side view 6:52 7. Copilot Fusion picks the model 7:43 8. Codex in fifteen seconds 8:03 9. We upgraded n8n to 3.0 8:57 10. GitHub Agentic Workflows, tried 10:08 What to do this week What we ran (macOS, 30 Oct 2026): llama-cli -hf LiquidAI/LFM3-1.7B-GGUF -c 8192 -p "In one sentence, what is a context window in an AI model?" -n 400 -st --temp 0 codex doctor --network-only n8n 2.45.7 → 3.0.1 in Docker, with four test workflows (Function, Cron, Item Lists and Code nodes) gh extension install github/gh-aw Numbers used (checked 30 Oct 2026): • GPT-6.1 Terra: $1 / $5 per million tokens, 50% below GPT-5.6 Terra; Terminal-Bench 4.0 50.3% vs 21.5% (OpenAI, self-reported); "about 9× cheaper than Claude Opus" on one computer-use test is OpenAI's claim; Design Arena: 4× longer, 38% cheaper on the same tower • OpenAI API credits: up to $500 a month for ChatGPT Pro and Business; not for Codex with an API key; they end with each billing month • Mistral Large 4: 1,060.6 GB of files on Hugging Face (our sum of every file); a separate deal is needed to sell it as a hosted service • LFM3-1.7B-Q4_K_M.gguf: 1,099,627,808 bytes; the same answer on 3 runs at temperature 0 (our run); a licence is needed above $10 million revenue a year • Liquid's swarm demo: 307,245 small agents, 254,316 emails, 12 of 17 key events found • llama.cpp 0.8.0: a model was already required before (v0.7.0); pull request 31242 changed only the error message • Copilot Fusion Max: 60 on the Artificial Analysis Coding Agent Index, 2 points behind Claude Code with Opus, at about half the cost per task; High and Max need Copilot Pro+ or higher • Claude CarPlay: working since 4 September (MacRumors); announced by Anthropic this week • n8n Migration Report on our 4 workflows: 1 of 4 compatible; after the upgrade the Cron workflow failed to publish and the Function workflow said Published while every call failed Sources: https://openai.com/index/introducing-gpt-6-1-terra/ https://developers.openai.com/api/docs/models/gpt-6.1-terra https://help.openai.com/en/articles/20001626-api-credits-benefit-for-eligible-chatgpt-subscriptions https://mistral.ai/news/mistral-large-4-oss/ https://huggingface.co/mistralai/Mistral-Large-4-1T-A52B https://www.liquid.ai/blog/lfm3 https://huggingface.co/LiquidAI/LFM3-1.7B https://github.com/ggml-org/llama.cpp/releases/tag/v0.8.0 https://github.com/ggml-org/llama.cpp/pull/31242 https://x.com/claudeai/status/2115859377488072879 https://github.blog/changelog/2026-10-28-route-and-orchestrate-models-with-github-copilot-fusion https://github.com/openai/codex/releases/tag/rust-v0.165.0 https://github.com/openai/codex/releases/tag/rust-v0.166.0 https://blog.n8n.io/introducing-n8n-v3/ https://github.blog/changelog/2026-10-28-github-agentic-workflows-generally-available https://github.com/github/gh-aw Footage: excerpts from the official videos and posts of OpenAI, Liquid AI, GitHub, Anthropic, Unsloth, Design Arena and n8n, and real public GitHub pages, each credited on screen. Private names are blurred. Which of these are you trying first? Tell me in the comments. Subscribe for more AI news, explained simply. #AINews #GPT61 #MistralLarge4 #LFM3 #GitHubCopilot
