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On October 26, 2026, Anthropic submitted an S-1 to the SEC, planning to list on Nasdaq under the ticker "ANT," with an IPO valuation potentially exceeding $2 trillion. OpenAI released GPT-6.1 Terra the same day, priced at $1 per million input tokens and $5 per million output tokens on the standard API, completing tasks more than three times faster than the flagship GPT-6 Astra. Google DeepMind launched a research preview of its world model Genie 4, achieving synchronized audio and video generati

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At Oracle AI World in Las Vegas, Oracle announced an expanded partnership with OpenAI, launching four products—Oracle AI Workspace, Oracle AI Security Mesh, Oracle App Composer, and Oracle AI SMB Bundle—that combine OpenAI models, ChatGPT, and Codex with Oracle applications, data, and cloud infrastructure. Among them, AI Workspace connects to Fusion Applications, NetSuite, Oracle AI Database, and OCI through a ChatGPT plug-in and is coming soon; App Composer lets employees build enterprise appli

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At Oracle AI World, Oracle released Oracle AI Security Mesh, a managed platform powered by OpenAI's frontier cybersecurity models that helps enterprises discover and remediate security vulnerabilities faster, covering applications and infrastructure on-premises, on OCI, and on other clouds. The platform first uses a discovery framework to map customer systems, then dedicated agents investigate weaknesses, verify reproducibility, and help prepare code fixes; all fixes must be approved by the cust

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time Google has supplied chips to another hyperscale cloud provider, with deployment set to begin next year and gradually scale up. Oracle will also deploy Cerebras' wafer-scale accelerators and OpenAI's Jalapeño inference chips, and use OpenAI models to power new cloud services. The two sides are also launching AI Workspace, which lets ChatGPT perform tasks on users' behalf within Oracle applications, along with App Composer, AI Security Mesh, and the Oracle AI SMB Bundle for small businesses.

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Apple won a ruling expanding the scope of discovery in its trade secret misappropriation lawsuit against two former employees, OpenAI and io Products. Judge Edward Davila approved its request to obtain records of the former employees' use of AI tools such as ChatGPT, Claude, Codex and OpenClaw, as well as related testimony concerning batteries, power management and metal surface treatment. The judge simultaneously denied Apple's requests regarding OpenAI's own devices and accounts, internal inve

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AGMAI, composed of nine mathematicians, called on OpenAI to immediately publish the natural-language and Lean versions of its claimed proofs of Yang-Mills theory, quantum chromodynamics, and the completeness of the Standard Model. OpenAI announced three mathematics, computer science, and physics results on October 26, stating that the Yang-Mills proof was completed on September 9 and its Lean formalization was completed on October 16, but the proof has only been seen by five physicists selected

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In the system card, OpenAI confirms that GPT-6.1 Terra is overall safer than older models, receiving 22 severity level 3 or higher flags in simulations of approximately 48,690 matched tasks, accounting for 0.045%, about 42% fewer than GPT-6 Sol and 64% fewer than GPT-5.6 Sol. However, relative to GPT-6.1 Sol and GPT-6 Astra, Terra showed higher proportions of flags on items such as concealing uncertainty, circumventing restrictions, data exfiltration, destructive operations, and inbound prompt i

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OpenAI Codex 0.165.0 adds a built-in Google Cloud Vertex AI provider (configured via model provider = "gcp") and adds GPT-6.1 Terra to the model catalog. This version also enables memory v2 by default and supports importing external agent memory, while allowing reasoning effort to be adjusted during conversations by default. The session selector adds repository filtering, and the agent command center supports grouping by directory.

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session list, reading of private conversations that were never shared, and exfiltration of the data. The attack chain consists of interactive charts in the conversation loading MathLive, HTML Preview sending postMessage across frames without validating the origin, and then abusing the JSONP callback of YouTube oEmbed to bypass CSP. On October 26, OpenAI confirmed that both frontend versions had rejected the relevant messages and been fixed; the report was rated P1, with a total bounty of $5,000.

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Vaibhav Srivastav, OpenAI's Head of Developer Experience and Community, said in an interview that GPT-6.1 Sol can achieve about 95% of the performance of GPT-6 Astra at only one-fifth the cost, and that he himself mainly uses Sol in his daily work. He recommends using Astra for adversarial review on new projects or unfamiliar problems, and said the Ultrafast tier targets real-time scenarios such as fraud detection and financial investigations, with speeds exceeding 300 tokens per second. He also

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On October 26, 2026, OpenAI released and made available GPT-6.1 Terra, strengthening visual understanding, computer operation, and writing capabilities. The standard API price is half that of GPT-5.6 Terra, namely $1 per million tokens for input, $0.05 for cached input, and $5 for output. The model has a context window of 1.05 million tokens, a maximum input of 922,000 tokens, and a maximum output of 128,000 tokens. Reasoning effort can be selected from none to max, with medium as the default. O

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On October 26 local time, on the same day Anthropic submitted its IPO registration filing to the SEC, OpenAI released its new model GPT-6.1 Terra, with standard API prices cut by 50% compared with the previous generation. The model focuses on visual understanding and computer operation, with standard API pricing at $1 per million input tokens, $5 for output, and $0.05 for cached input; on the Terminal-Bench 4.0 coding benchmark, it scored 50.3% at the highest reasoning effort, compared with 21.5

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OpenAI has released GPT-6.1 Terra, with API pricing at $1 per million input tokens and $5 per million output tokens, down 50% and about 58% respectively from the previous generation, and half the price of GPT-6.1 Sol. OpenAI says its task completion rate on Terminal-Bench 4.0 rose from 21.5% to 50.3%, and its error rate at the highest reasoning level on difficult factual tests dropped to 4.3%. Third-party organization Artificial Analysis measured an intelligence index of 48 points, lower than So

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ker "ANT" with a target valuation of approximately $2 trillion and plans to raise up to $100 billion, with its annualized revenue run rate surpassing $65 billion. On the same day, OpenAI released GPT-6.1 Terra, with standard API pricing at $1 per million input tokens and $5 per million output tokens, half that of GPT-6.1 Sol. Meta, meanwhile, launched an equity financing of up to $95 billion to support AI infrastructure, with Nvidia, AMD, and Broadcom intending to subscribe for up to $5 billion

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OpenAI has released GPT-6.1 Terra, with API pricing at $1 per million input tokens and $5 per million output tokens, representing a 50% and approximately 58% decrease in input and output prices respectively compared to the previous generation, and only half that of GPT-6.1 Sol. The company claims its task completion rate on Terminal-Bench 4.0 increased from 21.5% to 50.3%, and it scored 60.0% on Agents' Last Exam, close to Claude Opus 5.5's 63.2%. Artificial Analysis measured an intelligence ind

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OpenAI has released GPT-6.1 Terra, which combines visual reasoning, computer use, and coding capabilities. Its API pricing is $1 per million input tokens, $0.05 per million cached input tokens, and $5 per million output tokens, 50% lower than GPT-5.6 Terra and GPT-6.1 Sol. Starting October 27, the model is available to Plus, Pro, Enterprise, and Edu users of ChatGPT Work and Codex, and developers can call it via the API as gpt-6.1-terra. On Terminal-Bench 4.0, it solves 50.3% of tasks at maximum

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OpenAI released GPT-6.1 Terra, focused on visual reasoning, computer operation, and writing. It is now available to Plus, Pro, Enterprise, and Edu users of ChatGPT Work and Codex, as well as via API. The standard API charges $1, $0.05, and $5 per million input, cached input, and output tokens respectively, 50% lower than GPT-5.6 Terra and GPT-6.1 Sol. Anthropic has submitted an S-1 to the SEC to list on Nasdaq under the ticker "ANT"; first-half revenue was $16.286 billion, with net loss widening

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