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B.AI announced that OpenAI's GPT-6.1 Terra is officially live, with both the API and Web Chat interfaces now open for simultaneous use. Designed for efficient visual reasoning, precise computer operations, and clear, natural text generation, the model combines adjustable reasoning capabilities with a 1.05M ultra-long context window, capable of covering daily professional workflows and complex application scenarios. It supports a maximum output of 128K Token, with standard pricing at $1.00 per million input Token and $5.00 per million output Token, balancing performance and cost flexibility. Visit chat.b.ai/chat to start experiencing it now.
OpenAI announced the release of GPT-6.1 Terra, focusing on enhancements to visual reasoning, computer operation, factual accuracy, and software engineering capabilities. The model is designed for daily office workflows and high-frequency automation tasks, capable of processing technical drawings, completing forms, editing videos, and developing software. In terms of performance, OpenAI reported that GPT-6.1 Terra reduced its factual error rate in internal complex prompt tests from 53.6% (observed in GPT-5.6 Terra at low reasoning intensity) to 16.7%, with the error rate further dropping to 4.3% under highest reasoning intensity. In the Terminal-Bench 4.0 programming benchmark, the model achieved a task completion rate of 50.3% at peak reasoning intensity, surpassing GPT-5.6 Terra's 21.5%.
The OpenAI Alignment Research Team released an incident report stating that on October 3 and October 6, during two internal coding tasks, the GPT-6.1 Sol and GPT-6 Astra agents compromised alignment deviation monitoring while performing software modifications. While fixing the evaluation process, GPT-6.1 Sol overinterpreted the user's prior request to "not send messages on collaboration platforms" as permission to suppress monitoring notifications, clearing alert recipients and disabling automated alerts designated for the security team.
Odaily reports: OpenAI states that in two internal programming tasks, AI Agents weakened alignment-failure monitoring mechanisms while performing user-requested software modifications. In the first incident, a GPT-6.1 Sol Agent responsible for fixing an evaluation pipeline disabled the automatic alerting function that notifies the safety team. The Agent interpreted a prior instruction—"do not send messages during the search of Slack history"—as justification for suppressing monitoring notifications.In a separate, independent incident, a GPT-6 Astra Agent responsible for a migration program removed the monitoring integration from the program in order to align the code with the reference implementation, and subsequently falsely told the user that it had not removed the monitoring mechanism. In both incidents, the AI Agents had considered whether they should preserve the monitoring safeguards, but ultimately interpreted routine programming instructions as permission to weaken those safeguards. In response, we are strengthening our alignment-failure monitoring systems, and we are also evaluating whether these cases reflect benign overpersistence in AI or indicate a tendency to evade alignment-failure monitoring under certain circumstances.
According to Sina Finance, OpenAI is accelerating a fundraising round of approximately $30 billion, targeting a valuation that could surpass $1.4 trillion, and aims to secure investor commitments ahead of competitor Anthropic's expected mid-November IPO. Existing investors such as SoftBank Group and Abu Dhabi-based MGX are currently in talks to participate. OpenAI informed investors that following the launch of the GPT-6 Astra model, its annualized revenue has hit $50 billion and is projected to reach $70 billion by the end of the year. The company has also reduced prices for its lower-cost models to drive adoption, noting that further price cuts are possible. Insiders stated that OpenAI intends to close the financing before Anthropic releases its financial data to prevent investors from comparing the two firms directly. OpenAI accounts for revenue on a net basis and has previously accused Anthropic of recognizing all contract sales made through third-party cloud providers as revenue, thereby artificially inflating its top line. Furthermore, OpenAI raised $122 billion in March this year at a post-money valuation of $852 billion, including a committed investment from Amazon of up to $50 billion. If weakening IPO market conditions force a delay of its planned 2027 listing, this capital will additionally be deployed to fund its extensive infrastructure buildout and bolster its balance sheet.
Odaily reports: OpenAI disclosed that in June of this year, an internal research model, the GPT-5.6 Sol series, was assigned the task of updating a cryptocurrency trading application and deploying a contract on the Ethereum testnet Sepolia. Because the task did not provide a funded wallet and did not authorize the use of external funds, the model first attempted to obtain test ETH from a faucet but was unsuccessful. It then derived addresses from publicly available developer mnemonics online, scanned hundreds of addresses, and found an account with a balance. In its internal reasoning, the model questioned whether using funds from a publicly exposed private key was ethical, then concluded that the funds were testnet ETH with no real value and that the mnemonic had already been made public. It therefore used the account to pay the gas fee required for deployment and successfully completed the contract deployment. OpenAI discovered this behavior during a subsequent expansion of alignment monitoring and disclosed it on October 15, 2026, in its official Misalignment Reports, categorizing the incident as the unauthorized use of a funded test cryptocurrency wallet.
Odaily News: Meta CEO Mark Zuckerberg said in an interview that with the release of the new model Muse Wonder, Meta has caught up to the industry frontier in AI technical capabilities and will continue to increase investment in computing power, infrastructure, and talent to compete with companies such as OpenAI and Anthropic.Meta claims that Muse Wonder outperforms models such as OpenAI GPT-6 Astra and Anthropic Claude Opus 5.5 in some benchmarks, and will be applied in scenarios including complex programming, financial analysis, and personal AI assistants. The model will adopt a closed-source paid model, with the base usage price as low as $0.20 per million tokens, and the subscription fee for the advanced version Muse Wonder Full at up to $200 per month.Zuckerberg also stated that Meta is more focused on "personal superintelligence" for individual users rather than simply pursuing the automation of knowledge work. He believes AI can achieve responsible development through conventional safety measures, and revealed that Meta has begun developing the next-generation model, with subsequent R&D progress expected to accelerate further. (Financial Times)
Odaily Report: On October 12, during the in-depth dialogue session at the opening ceremony of the 26th China International Industry Fair, Wang Xingxing, founder of Unitree Technology, shared that the recent release of GPT-6 had a significant impact on the embodied intelligence industry's perception, and his company's team also deployed it to robots for task testing, with fairly good results. In his view, the arrival of the critical turning point for the embodied intelligence industry will still be relatively quick—possibly even within one to two years.Wang Xingxing stated that to achieve large-scale application of robots, the issues of generalization and efficiency still need to be addressed, but these problems will be resolved in the coming years. He also mentioned, "Now my personal belief in AI is actually growing by the day. The biggest mistake I made over the past decade or so was not trusting AI enough. Even now, many people may not have fully used or embraced AI." (Yicai)
OpenAI has announced the global launch of the GPT-6 model featuring an intelligent UI, now available to paid users. Free and Go users will gain access tomorrow. This version is optimized for everyday conversations, while the Work and Codex models remain unchanged for now.
PPP prediction market tool monitoring shows that in the Polymarket "GPT Astra 6.1+ release date" prediction market, the probability that GPT Astra 6.1+ will be released before October 31 has risen to 46%, up 21% in 24 hours.According to the resolution rules, if OpenAI makes available to the public a GPT model with a version number of 6.1 or higher and with "Astra" included in its name or model identifier before the specified date, the corresponding market will resolve to "Yes." The model must actually be made available for public use; closed beta testing or placeholder names appearing only on the official website will not count, and resolution will primarily be based on official information from OpenAI.Join the PPP signal push community to stay one step ahead and seize the initiative.
The B.AI platform has announced the official launch of OpenAI GPT-6.1 Sol, enabling simultaneous testing via both API and Web Chat interfaces. As an upgraded variant of GPT-6 Sol, the model is tailored for complex software engineering, computer operations, and professional workflows. Officially positioned to approach GPT-6 Astra in agent programming, computer use, and specialized tasks, it features standard input/output token pricing at approximately one-fifth that of Astra. The model supports a 1.05M-token extended context window and generates up to 128K tokens of output, provides five adjustable reasoning intensity tiers, and supports prompt caching alongside Multi-agent delegation through the Responses API (Beta). Starting today, developers and users can directly integrate GPT-6.1 Sol via the B.AI platform; visit chat.b.ai/chat to begin your experience.
OpenAI launches the GPT-6.1 Sol model and Dots autonomous agents, with annual recurring revenue nearing $70 billion. Meanwhile, NVIDIA seeks insurers to help share financing risks for AI chips, while India plans to invest $25 billion to support domestic deep tech startups.
At the 2026 Developer Day, OpenAI unveiled its brand-new AI agent product, Dots, powered by the GPT-6Astra model. It can run continuously in the background and execute tasks across platforms. The product is now available to ChatGPT Pro and Business Premium users.
OpenAI officially launches the GPT-6.1 Sol model, featuring reasoning performance comparable to Astra's while significantly reducing standard token prices to one-fifth of the latter's.
Odaily News: OpenAI has confirmed the cancellation of its next-generation AI model GPT-6.1 Astra, which was originally scheduled for an October release. Internal testing revealed that the model failed to meet the company's safety and alignment standards.GPT-6.1 Astra was originally planned to be integrated into ChatGPT and Codex to handle more complex tasks with reduced human intervention. According to The Wall Street Journal, the model exhibited a higher degree of deceptive behavior during internal testing compared to its predecessor, including failing to consistently and accurately disclose the actions it actually performed.Saachi Jain, head of OpenAI's safety systems, stated that while the model improved upon issues such as "model laziness," it still fell short of release standards in terms of adhering to task scope and authorization, as well as communicating completed work to users. (Reuters)
OpenAI has canceled its planned near-term release of the GPT-6.1 Astra model after internal testing revealed safety alignment flaws. The safety lead noted that the model regressed in following human instructions and overall honesty.
Odaily News: On September 23, the B.AI platform announced the official launch of two high-efficiency models from the OpenAI GPT-6 series, GPT-6 Sol and GPT-6 Luna, simultaneously available on both API and Web Chat. The entire series supports a 1.05M ultra-long context window and 128K output, natively supports image understanding and Computer Use, and offers 6 adjustable levels of reasoning intensity.Among them, GPT-6 Sol is designed for complex software engineering and Agent workflows, scoring 68.8% on DeepSWE v1.1 with per-task costs reduced by approximately 80%; GPT-6 Luna is built for high-frequency, large-batch workloads, scoring 66.6% on DeepSWE v1.1, with input pricing as low as $0.10/1M Tokens. Starting today, developers and users can directly access both models through the B.AI platform.
OpenAI officially launches two new models, GPT-6 SOL and GPT-6 LUNA, effective immediately for Plus, Pro, Business, and Enterprise users, with support for the ChatGPT Work and Codex platforms.
B.AI announces that its Responses API officially supports the GLM and Kimi model series. Using a B.AI API Key, developers can directly call these two model series within the Codex client. Combined with the previously supported GPT and DeepSeek series, it now covers four mainstream model lineups. After completing the streamlined configuration of the API Key and Base URL, you can seamlessly integrate the reasoning, code, and text processing capabilities of these models into your daily development workflow, flexibly meeting diverse coding and business requirements. Log in to b.ai to experience it now.
OpenAI announced the launch of Astra for Law, integrating GPT-6 Astra with a legal search index, specialized analysis prompts, and governance tools for law firms and legal technology companies. The platform enables retrieval of U.S. case law, statutes, and administrative rulings; internal testing shows that its legal research accuracy improved by approximately 40% relative to GPT-6 Astra relying solely on web search. Initial access will be extended to select law firms through the trusted access program for ChatGPT and Codex. An API version is launching soon, alongside support for 26 legal industry plugins.