AI Coding Live News — Real-Time 𝕏/Twitter Updates & Breakthroughs

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OpenAI's Tibo Says Dots Will Expand Its Model Family to Include GPT-6.1 Terra for Speed and Wider Reach

At 15:50 UTC on Nov 2, Tibo (@thsottiaux), whose X bio reads "Codex & ChatGPT @OpenAI", posted that OpenAI is working on expanding the family of frontier models that power dots, including GPT-6 Astra and GPT-6.1 Terra, with others to come. He said Terra brings speed and "a nice personality upgrade" and will help bring dots to more people. Dots are the always-on agents in ChatGPT with their own cloud computer, launched on GPT-6 Astra. This is a first-hand post by an OpenAI employee, not a formal company announcement; no timing or plan details have been published.

Key Takeaways

Source: an original post by Tibo (@thsottiaux, X bio "Codex & ChatGPT @OpenAI"), which drew about 2,475 likes, 622 replies and 127K views within roughly 20 minutes.
Key point: dots will no longer run only on GPT-6 Astra; GPT-6.1 Terra is being added, with more models later. It is described as work in progress with no launch date.
Terra per OpenAI: standard API pricing of $1 input and $5 output per million tokens, 50% below GPT-5.6 Terra and GPT-6.1 Sol, and over 3x faster task completion than GPT-6 Astra (OpenAI).
Current access: dots are rolling out to Pro users 18+ outside the EEA, Switzerland and the UK and to Business Premium; Enterprise needs an admin to enable the beta (Help Center).

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Linked Models & Agents:

⚡ GPT-6.1 Terra ⚡ GPT-6 Astra 🤖 ChatGPT dots 🌐 OpenAI

#OpenAI#Dots#GPT-6.1 Terra#GPT-6 Astra#ChatGPT#Agents

OpenAI@AICoder·Collected 3d ago

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OpenAI Codex CLI 0.166.0: keyboard transcript selection, GPT-6.1 Terra in Vertex AI and Bedrock catalogs, codex doctor network checks

OpenAI published the stable Codex CLI release rust-v0.166.0 on GitHub at 19:47 UTC on Oct 29. It adds keyboard-driven transcript selection by word, line and page with built-in search, adds GPT-6.1 Terra to the bundled, Vertex AI and Amazon Bedrock model catalogs, introduces codex queue --resume and codex doctor --network-only, and shows clearer safety-block explanations with selectable safer follow-up prompts in the TUI.

Key Takeaways

Model catalogs: GPT-6.1 Terra added to the bundled, Vertex AI and Amazon Bedrock catalogs (#57293)
Transcript: keyboard selection by word, line and page, integrated search and configurable shortcuts (#57221 to #57224)
New commands: codex queue --resume resumes unloaded threads after queueing a message; codex doctor --network-only checks config, connectivity and WebSocket
Safety UX: clearer explanations when a request is blocked, plus selectable safer follow-up prompts (#57363, #57365)
Fixes: approval and permission settings survive resume and fork, and reasoning-token accounting is preserved to avoid premature compaction

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Linked Models & Agents:

⚡ GPT-6.1 Terra 🤖 Codex CLI 🌐 OpenAI

#Codex CLI#OpenAI#GPT-6.1 Terra#Amazon Bedrock#Vertex AI#codex doctor#TUI#coding agent

OpenAI@OpenAI·Collected 7d ago

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OpenAI launches GPT-6.1 Terra: fast, low-cost computer use at $1/$5 per million tokens, half the price of GPT-5.6 Terra and GPT-6.1 Sol

On Oct 26 OpenAI released GPT-6.1 Terra, an efficient model for visual reasoning, precise computer use and natural writing. It is rolling out today to Plus, Pro, Enterprise and Edu users in ChatGPT Work and Codex, and in the API as gpt-6.1-terra. Standard API pricing is $1 input, $0.05 cached input and $5 output per million tokens, which OpenAI says is 50% lower than GPT-5.6 Terra and GPT-6.1 Sol, with a 1,050,000-token context window. By OpenAI's figures it scores 15 points higher than GPT-5.6 Terra on Agents' Last Exam at medium effort for about a third of the cost, and solves 50.3% of Terminal-Bench 4.0 at max effort.

Key Takeaways

Pricing (official docs): $1 input, $0.05 cached input, $1.25 for 30-minute cache writes and $5 output per million tokens; requests over 272K input tokens are billed at 2x input and 1.5x output; Batch/Flex are half price and Fast mode is 2x
Specs: 1,050,000-token context, 922,000 max input and 128,000 max output tokens, Jun 1 2026 knowledge cutoff; reasoning.effort from none to max, and tool calling requires the Responses API
Computer use (OpenAI figures): on Agents' Last Exam at medium effort it beats GPT-5.6 Terra by 15 points at about one-third the cost, and matches GPT-6 Astra at one-tenth the price per token; it finishes tasks over 3x faster than GPT-6 Astra and GPT-6.1 Sol
Coding and factuality (OpenAI figures): 50.3% on Terminal-Bench 4.0 at max effort, more than double GPT-5.6 Terra's published 21.5%; error rate on an internal error-inducing prompt set fell from 53.6% to 16.7% at low effort
Safety: OpenAI says it meets the Critical cybersecurity threshold under its Preparedness Framework and keeps the safeguards built for GPT-6 Astra

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Linked Models & Agents:

⚡ GPT-6.1 Terra ⚡ GPT-5.6 Terra ⚡ GPT-6.1 Sol ⚡ GPT-6 Astra 🤖 Codex 🤖 ChatGPT 🌐 OpenAI

#GPT-6.1 Terra#OpenAI#computer use#Codex#API pricing