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Tuesday

  1. Ben's Bites

    GPT-6 Family's First Model Astra Released, Author's Hands-On Test Consumed 4 Billion Tokens

    OpenAI released Astra, which the author calls the beginning of the GPT-6 family; it performs outstandingly on ARC-AGI-3 and scored highest on Zapier's AutomationBench, with pricing the same as Fable 5.1. During weekend trials, the author consumed 4 billion tokens and found its capability fluctuates noticeably—it is a showcase model rather than one that reliably does work. Astra in Codex can now continue advancing tasks without waiting for an answer, and OpenAI also claims it has achieved its automated research intern goal, with the next goal being an automated AI researcher by March 2028.

    OpenAI released Astra, which the author calls the beginning of the GPT-6 family; it performs outstandingly on ARC-AGI-3 and scored highest on Zapier's AutomationBench, with pricing the same as Fable 5.1. During weekend trials, the author consumed 4 billion tokens and found its capability fluctuates noticeably—it is a showcase model rather than one that reliably does work. Astra in Codex can now continue advancing tasks without waiting for an answer, and OpenAI also claims it has achieved its aut

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    #newsletter#Industry news#OpenAI#Anthropic

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  1. One Useful Thing

    Ethan Mollick Tries GPT-5.5 Early: Capability Gains Are Still Accelerating

    Ethan Mollick was granted early access to try GPT-5.5 and believes its capabilities have improved markedly; GPT-5.5 Pro completed the same 3D port town simulation task in 20 minutes, compared with 33 minutes for the previous generation, GPT-5.4 Pro. Using Codex together with GPT-5.5 to process a decade's backlog of his own crowdfunding data, he generated a paper including a genuine literature review and statistical methods with just four prompts, and he considers its quality equivalent to a second-year PhD project. He also noted that OpenAI's new image model (sometimes called GPT-imagegen-2) can render high-quality text and images, but that AI still has rough edges in long-form fiction writing, such as florid prose and homogeneous dialogue.

    Using Codex together with GPT-5.5 to process a decade's backlog of his own crowdfunding data, he generated a paper including a genuine literature review and statistical methods with just four prompts, and he considers its quality equivalent to a second-year PhD project. He also noted that OpenAI's new image model (sometimes called GPT-imagegen-2) can render high-quality text and images, but that AI still has rough edges in long-form fiction writing, such as florid prose and homogeneous dialogue.

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    #newsletter#Industry news#OpenAI#Multimodal

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  1. Story1 reports · 1 facts

    OpenAI Releases GPT-Rosalind-6 System Card Addendum

    On October 31, 2026, OpenAI released the GPT-Rosalind-6 system card addendum. The model uses the same set of weights as GPT-6 Astra, with no new training data or post-training added, and is provided only through trusted access to vetted scientific research institutions, enterprises, and government partners. At the highest reasoning budget, MedChemBench v7 averaged a score of 49.6% (GPT-Rosalind-5.5: 28.9%), GeneBench Pro v13 achieved a single-attempt success rate of 37.7% (previous generation: 16.7%), and LifeSciBench Gold averaged 61.3% (previous generation: 44.0%). Under the Preparedness Framework, this release is classified as High capability in the biological and chemical domains, below the Critical threshold, as Critical in the cybersecurity domain, and below High for AI self-improvement. There are currently no subsequent developments.

    On October 31, 2026, OpenAI released the GPT-Rosalind-6 system card addendum. The model uses the same set of weights as GPT-6 Astra, with no new training data or post-training added, and is provided only through trusted access to vetted scientific research institutions, enterprises, and government partners. At the highest reasoning budget, MedChemBench v7 averaged a score of 49.6% (GPT-Rosalind-5.5: 28.9%), GeneBench Pro v13 achieved a single-attempt success rate of 37.7% (previous generation: 1

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  2. FactRelated story

    OpenAI releases GPT-Rosalind-6 system card addendum

    On October 31, 2026, OpenAI released the GPT-Rosalind-6 system card addendum. The model uses the same set of weights as GPT-6 Astra, with no new training data or post-training added, and is provided only through trusted access to vetted scientific research institutions, enterprises, and government partners. At the highest reasoning budget, MedChemBench v7 averaged a score of 49.6% (GPT-Rosalind-5.5: 28.9%), GeneBench Pro v13 achieved a single-attempt success rate of 37.7% (previous generation: 16.7%), and LifeSciBench Gold averaged 61.3% (previous generation: 44.0%). Under the Preparedness Framework, this release is classified as High capability in the biological and chemical domains, below the Critical threshold, as Critical in the cybersecurity domain, and below High for AI self-improvement. There are currently no subsequent developments.

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    View story:OpenAI Releases GPT-Rosalind-6 System Card Addendum

Tuesday

  1. Story28 reports · 2 facts

    OpenAI launches GPT-6.1 Terra on ChatGPT Work and Codex

    On October 27, 2026, OpenAI released and launched GPT-6.1 Terra, touted for its speed and efficiency, visual reasoning, and precise computer operation, with clearer and more natural writing as well, rolling it out that day to Plus, Pro, Enterprise, and Edu users in ChatGPT Work and Codex. On the same day, Arena announced that the model had entered Agent Arena and Code Arena; OpenRouter launched the model, saying it matches GPT-6 Astra on Agents' Last Exam at one-tenth the price per token; OpenClaw also announced that the model is now selectable. OpenAI co-founder Greg Brockman said Terra's computer use has crossed the threshold of a qualitative change and that using it is faster than operating a computer on his own. fal, meanwhile, used the fal Codex plugin to test turning Blender 3D content into Seedance 2.5 cinematic footage. On October 28, Arena announced that Terra ranked 14th in Code Arena: WebDev with a score of 1671, at a median cost of $0.40 per task, 28% lower than GPT-5.6 Terra. OpenAI's system card confirms that Terra is overall safer than older models, but its flag rates on items such as concealing uncertainty, circumventing restrictions, data exfiltration, and destructive operations

    On October 27, 2026, OpenAI released and launched GPT-6.1 Terra, touted for its speed and efficiency, visual reasoning, and precise computer operation, with clearer and more natural writing as well, rolling it out that day to Plus, Pro, Enterprise, and Edu users in ChatGPT Work and Codex. On the same day, Arena announced that the model had entered Agent Arena and Code Arena; OpenRouter launched the model, saying it matches GPT-6 Astra on Agents' Last Exam at one-tenth the price per token; OpenCl

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  2. FactRelated story

    OpenAI launches GPT-6.1 Terra on ChatGPT Work and Codex

    On October 27, 2026, OpenAI released and launched GPT-6.1 Terra, touted for its speed and efficiency, visual reasoning, and precise computer operation, with clearer and more natural writing as well, rolling it out that day to Plus, Pro, Enterprise, and Edu users in ChatGPT Work and Codex. On the same day, Arena announced that the model had entered Agent Arena and Code Arena; OpenRouter launched the model, saying it matches GPT-6 Astra on Agents' Last Exam at one-tenth the price per token; OpenClaw also announced that the model is now selectable. OpenAI co-founder Greg Brockman said Terra's computer use has crossed the threshold of a qualitative change and that using it is faster than operating a computer on his own. fal, meanwhile, used the fal Codex plugin to test turning Blender 3D content into Seedance 2.5 cinematic footage. On October 28, Arena announced that Terra ranked 14th in Code Arena: WebDev with a score of 1671, at a median cost of $0.40 per task, 28% lower than GPT-5.6 Terra. OpenAI's system card confirms that Terra is overall safer than older models, but its flag rates on items such as concealing uncertainty, circumventing restrictions, data exfiltration, and destructive operations

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    View story:OpenAI launches GPT-6.1 Terra on ChatGPT Work and Codex

  3. FactRelated story

    OpenRouter launches OpenAI's GPT-6.1 Terra

    On October 27, 2026, OpenAI released and launched GPT-6.1 Terra, touted for its speed and efficiency, visual reasoning, and precise computer operation, with clearer and more natural writing as well, rolling it out that day to Plus, Pro, Enterprise, and Edu users in ChatGPT Work and Codex. On the same day, Arena announced that the model had entered Agent Arena and Code Arena; OpenRouter launched the model, saying it matches GPT-6 Astra on Agents' Last Exam at one-tenth the price per token; OpenClaw also announced that the model is now selectable. OpenAI co-founder Greg Brockman said Terra's computer use has crossed the threshold of a qualitative change and that using it is faster than operating a computer on his own. fal, meanwhile, used the fal Codex plugin to test turning Blender 3D content into Seedance 2.5 cinematic footage. On October 28, Arena announced that Terra ranked 14th in Code Arena: WebDev with a score of 1671, at a median cost of $0.40 per task, 28% lower than GPT-5.6 Terra. OpenAI's system card confirms that Terra is overall safer than older models, but its flag rates on items such as concealing uncertainty, circumventing restrictions, data exfiltration, and destructive operations

    Matched fieldsTitle

    View story:OpenAI launches GPT-6.1 Terra on ChatGPT Work and Codex