OpenAI CEO Sam Altman met with about 50 Samsung presidents in Yongin to discuss AI cooperation. The talks reportedly turned to AI accelerators and HBM4 supply. The meeting signals deepening ties between OpenAI and Samsung around AI chip and memory technologies.
OpenAI will combine usage limits for ChatGPT and Codex into a single pool starting December, as indicated by a checkout notice. This change affects subscribers who use both services, simplifying billing and usage tracking. The move follows community discussion on Reddit.
Why it matters: Informs users of an upcoming policy change that impacts how they consume OpenAI services.
Parameter Labs disclosed a complex attack chain against ChatGPT's HTML previews (artifacts pattern) that allowed untrusted code in a sandboxed iframe to escape and execute JavaScript on the parent page. The exploit leveraged the MathLive library's postMessage handler using innerHTML, then bypassed CSP by reflecting JavaScript through YouTube's oEmbed endpoint. Once executed, the attacker could exfiltrate private user data or take actions on their behalf. OpenAI patched the vulnerability and paid a $5,000 bug bounty.
Why it matters: Reveals a serious security flaw in ChatGPT's interactive HTML feature, demonstrating real-world risks and the importance of sandboxing and CSP configuration.
OpenAI plans to use data from Daybreak Blue cybersecurity sessions for model training starting November 29, including data from users who had turned off training. Following backlash, the company reportedly promised a separate opt-out. The change has renewed concerns about consent and the use of sensitive or unpublished material for AI training.
Why it matters: The policy change could affect user privacy and the handling of sensitive cybersecurity data in AI training.
The Decoder reports that OpenAI raised about $11 billion against a $30 billion target in its latest funding round, at a valuation of $1.25 trillion. The report describes major investors pulling back amid a recent technology stock sell-off.
Why it matters: The reported funding shortfall provides a concrete signal of investor appetite for financing frontier AI companies.
OpenAI has reduced its latest fundraising target by $10 billion, according to a Financial Times report cited by The Information. The company initially sought $30 billion at a $1.4 trillion valuation and reportedly lowered the proposed valuation before cutting the fundraising target. The supplied excerpt does not disclose the revised valuation.
OpenAI is now seeking about $20 billion at a $1.25 trillion valuation, according to the Financial Times. The reported $10 billion reduction in its funding target signals a pullback in fundraising ambitions amid mounting technology-sector anxieties.
OpenAI, Google, Microsoft, and Anthropic say they will adopt a new standard that lets publishers opt out of AI scraping. The proposed shared "policy token" signal would live in a website's robots.txt file and apply publishers' AI training preferences across multiple companies instead of requiring individual settings. The proposal is being advanced within the IETF by Anthropic standards technical lead Kevin Kelley.
Why it matters: It signals a coordinated industry move toward a common mechanism for publishers to control AI training data scraping.
MarkTechPost compares the source-code vulnerability agents shipped by Anthropic (Claude Security plugin for Claude Code), OpenAI (Codex Security CLI/SDK), Cloudflare (MIT-licensed Security Audit Skill) and Google (Mantis). All four use a separation-of-duties loop in which a separate agent attempts to disprove every finding before a patch is drafted, motivated by hallucinated-bug rates that push true positives below 7%. The comparison covers licenses, runtime requirements, model lock-in, proof steps and patch output, plus Cloudflare's reported telemetry from an internal harness spanning 128 repos. It closes with selection guidance and a list of a dozen other agentic AppSec tools launched in 2026.
Why it matters: Gives security and platform teams a concrete, license-and-runtime-aware comparison for choosing among the four major vendor bug-hunting agents instead of evaluating each in isolation.
OpenAI says it will honor a shared robots.txt signal that lets website operators express their preferences regarding AI training. The signal is intended to communicate those preferences to participating AI providers. The announcement focuses on a common web mechanism rather than a new model or product.
OpenAI has introduced a new benefit for ChatGPT subscribers on $100, $200, and $500 monthly plans, granting them equivalent amounts of API credits. This mirrors a similar offering recently launched by Anthropic for its Max and Team subscribers. The credits are expiring and can be applied to one API organization per account.
OpenAI is doubling usage limits across its paid plans, increasing from Pro 100 to Pro 500. A planned reduction to Pro 200 was reversed after user backlash. More efficient models like Terra and Sol are expected to further boost usable capacity. The move comes ahead of Anthropic's IPO as both companies compete for B2B dominance.
Ted Sanders, likely an OpenAI insider, explains that LLM performance is highly multidimensional but that model size is the single variable explaining most variation. He outlines OpenAI's naming scheme where version numbers indicate release order, family relationships, and improvement magnitude—for example, 6.1 follows 5.6 and shares traits with other 6.1 models, while a jump to 7 would signal a major leap. The quote also notes that larger models (ordered Luna < Terra < Sol < Astra) are generally more performant, cost more per token, and have better recall of esoteric facts.
Microsoft disclosed $10 billion in revenue from commercial arrangements with OpenAI for the quarter ending September 30. The figure includes revenue-sharing payments and underscores the deep financial dependency between the two companies.
Why it matters: Provides concrete financial data on the Microsoft-OpenAI partnership, valuable for understanding AI industry economics.
OpenAI and ServiceNow are deepening their partnership to embed OpenAI models and agents directly into the ServiceNow platform. At the same time, ServiceNow workflows will be integrated into ChatGPT and Codex, enabling tighter enterprise automation. The collaboration aims to streamline business processes by combining AI capabilities with enterprise service management.
Why it matters: Gives readers a concrete update on a major enterprise AI integration deal, highlighting how two industry leaders are merging their platforms for workflow automation.
Retell, a voice agent platform, leverages OpenAI models including GPT-6 Astra and Codex to handle 100 million monthly calls. GPT-6 Astra ranks at the top of Retell's voice agent benchmark, while Codex contributes to the company's high revenue efficiency of $1.6M annual run rate per employee. The case highlights OpenAI's impact on scaling real-world voice AI applications.
OpenAI says its internal AI models have cracked three major open questions in mathematics, computer science and physics, including one tied to a Millennium Prize Problem. Outside experts, among them a Nobel laureate, are now checking whether the proofs hold up. The report says a valid computer science proof could undermine hundreds of research papers, but the claims remain unverified.
Why it matters: Readers get an early look at a high-stakes expert verification process for claimed AI-generated proofs with implications across multiple research fields.
OpenAI released GPT-6.1 Terra, a fast, efficient model that emphasizes detailed visual reasoning, precise computer use, and clearer natural writing. It is positioned as a midrange option between the more capable Sol and the cheaper Luna, with pricing at $1 per million input tokens and $5 per million output tokens. The model is described as a significant step up from GPT-5.6 Terra and particularly suited for tasks such as drafting proposals, interpreting technical drawings, filling forms, and edi
Why it matters: This provides concrete details about a new OpenAI model release, including positioning, pricing, and intended use cases, which is directly useful for AI practitioners and subscribers.
