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Altman Responds to the $1.4 Trillion Compute Bill: Better to Buy Too Much Than Too Little

On the BG2 podcast, investor Brad Gerstner, in front of Microsoft's CEO, questioned how OpenAI could sign a $1.4 trillion compute bill on $13 billion in annual revenue. Sam Altman responded that if Gerstner thought the risk was too great and wanted to sell his shares, he could help find a buyer right away, and said he looked forward to the company going public so the naysayers could short it. The author sums up Altman's logic as: at this stage, the real danger is not buying too much compute and being unable to pay the bill, but stockpiling too little compute and being unable to build the next-generation model, and lists four supporting paths: ChatGPT subscription growth, building its own AI cloud service, developing its own AI consumer hardware, and fully automated scientific research; the author also points out that when Altman announced the AI cloud service, Microsoft's CEO was right beside him, the competition between the two sides is already out in the open, and closing a $1.4 trillion gap in four years remains an unproven gamble.

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Gray Swan relaunches Arena red-teaming competition, targeting the AI agent era

AI security company Gray Swan on Tuesday launched a redesigned Arena platform, where contestants compete for prize money by tricking AI models into breaking through their guardrails, adding a sandboxed testing environment for indirect prompt injection. The new platform offers beginner-friendly challenges, training certificates, and a pathway for top performers to enter the Gray Swan red-team community and take part in real-world testing. Gray Swan conducts pre-release stress testing for frontier labs such as Anthropic, OpenAI, and Google DeepMind, and its Arena community has about 15,000 members.

Daytona raises a $60 million Series B at a $1 billion valuation

Daytona, which provides cloud sandboxes for AI agents, has raised a $60 million Series B at a $1 billion valuation, led by FirstMark, bringing its total funding to about $91 million. Its customers include Anthropic, OpenAI, Nvidia, Cursor, Cognition, Meta, and Cohere, and CEO Burazin said the company's revenue run rate grew 25-fold between January and September. Daytona says it can provision a new sandbox for an agent within 60 milliseconds by pre-distributing snapshots of configured machines to servers' physical disks.

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SoftBank's credit risk rises to highest in nearly four years; shares halve from June peak amid AI financing pressure

Amid AI-related financing and potential large-scale acquisitions, SoftBank Group's five-year credit default swap rate has risen to 432 basis points, the highest since early November 2022, while its share price has fallen about 50% from its June peak. SoftBank's total investment in OpenAI is about $64.6 billion, accounting for roughly 13% of OpenAI's shares as of early October 2026; to raise funds for the final stage of the investment, SoftBank issued $11.1 billion in high-yield bonds on September 24, 2026, with coupon rates on U.S. dollar bonds of different maturities at 8.625%, 9.25% and 9.75%, respectively.

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Altman Responds to Questions Over the $1.4 Trillion Compute Bill

On the BG2 podcast, investor Brad Gerstner confronted Sam Altman in front of Microsoft's CEO: OpenAI has $13 billion in annual revenue, so why dare sign a $1.4 trillion compute bill? Altman responded that if anyone wants to sell OpenAI shares, he can immediately help find a buyer, and he looks forward to the company going public so that naysayers who short it get burned. He believes what is truly fatal is hoarding too little compute and being unable to build the next-generation model, and he laid out four trump cards: ChatGPT subscriptions, AI cloud services, self-developed consumer hardware, and fully automated scientific research.

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Arena Opens 14-Day Limited-Time Direct Testing of GPT-Image-2.5 Sunburst

Arena announced that OpenAI's GPT-Image-2.5 Sunburst will be available for direct testing on the platform over the next 14 days, and users can select the model from the Direct Mode dropdown menu. Arena states that the model ranks first in the Text-to-Image Arena, Image Edit Arena, and Multi-Image Edit Arena. Direct access will end on November 2 at 8 a.m. Pacific Time, after which the model will still appear anonymously in Battle and Agent Mode.

Artificial Analysis launches HealthBench and HealthBench…

Artificial Analysis has launched leaderboards for OpenAI's two health dialogue benchmarks, HealthBench and HealthBench Professional; the former contains 5,000 conversations with general users and health workers, while the latter consists of 525 conversations all aimed at clinicians. On HealthBench Professional, GPT-6 Astra (max) ranks first with a length-adjusted score of 66.0%, GPT-6.1 Sol (max) is at 65.1%, and Claude Sonnet 5.5 (max with fallback) is at 63.0%. On HealthBench, Claude Sonnet 5.5 (max with fallback) leads at 62.1%, while DeepSeek V4.1 Flash (max) is at 60.9%; Claude Opus 5.5 and Claude Fable 5.1 average about 5,900 characters per answer and lose more than 11 points after length adjustment.

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How to run n8n AI workflows on NVIDIA DGX Spark without calling cloud APIs

n8n Blog published a tutorial on how to deploy a complete model stack locally on a single NVIDIA DGX Spark, enabling n8n workflows to perform transcription, OCR, document Q&A, and image generation without calling cloud APIs. The entire stack exposes an OpenAI-compatible endpoint through LiteLLM; the main model is the NVFP4 version of Qwen3.6-35B-A3B, with a single-user generation speed of 120 tokens/s and an aggregate of 359 tokens/s across eight users. The author's testing found that image generation reduces chat speed to about one-third, and recommends that small teams queue image tasks or schedule them outside working hours.