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AIUC Completes $40 Million Series A, Launches AIUC-1 Agent Safety Standard and Insurance Program

AIUC announced the completion of a $40 million Series A funding round, led by Ribbit Capital and First Harmonic, with customers including Cursor, Harvey, Lovable, and ElevenLabs. Its AIUC-1 standard covers agent safety, security, and reliability, requiring thousands of simulated tests each quarter for jailbreaks, hallucinations, and data leaks, with a certification period of about 3 to 10 weeks. ElevenLabs has purchased the first AI agent insurance policy, underwritten with participation from Lloyd's of London, and AIUC's evaluation results are used directly for pricing.

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ElevenLabs Reviews the Top Ten Conversational AI Enterprise Use Cases of 2026

ElevenLabs has outlined the top ten use cases for enterprise adoption of conversational AI in 2026, covering customer service automation, appointment scheduling, order returns and exchanges, sales lead qualification, IT help desk, internal knowledge base retrieval, multilingual support, and accessibility experiences. ElevenAgents supports more than 70 languages and can automatically detect and switch languages during a conversation. A 2026 McKinsey survey shows that nearly 90% of organizations have used AI in at least one business function, and 44% say AI is being scaled within the enterprise, up from 38% the previous year.

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How one resignation turned a spark of AI fear into a wildfire

When an AI researcher resigned citing safety risks, the resignation quickly ignited public opinion after background events such as the OpenAI-HuggingFace incident had already raised the heat of AI discussion, and the scope of the discussion far exceeded the expectations of veteran AI commentators. The article points out that the >10% extinction risk figure proposed by Evan Hubinger is a key source of this narrative, and that in AI safety discussions the term "existential risk" is often used to refer to very different things. The author believes the probability of complete extinction is too low to be worth discussing, but disasters such as AI-induced cyberattacks on critical infrastructure or biological risks are worth debating.

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.

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Duke Health doctor completes hip surgery using Apple Vision Pro

An orthopedic surgeon at Duke Health wore the $3,499 Apple Vision Pro during hip arthroscopy, using an app that received FDA De Novo authorization via Stryker to display real-time arthroscopic video, CT images, and HipCheck and HipMap data together in a single field of view. The authorization was granted on July 17, marking the first time Vision Pro has been cleared for intraoperative use. In addition, AI futurist Ray Kurzweil has joined brain-computer interface startup Subsense as a product and vision advisor; the company uses nanoparticles delivered intranasally to read and stimulate neural signals, is currently in the preclinical stage, has raised $27 million, and plans to conduct clinical pilots between 2027 and 2029.

Claude Code supports remote control of sessions from mobile phones

Claude Code adds a Remote Control feature that lets users start new Claude Code sessions on their phones, automatically recovers disconnections between laptop and phone, and loads sessions faster on iOS. Anthropic has also launched the free Claude Academy, offering Claude usage courses, tutorials, and job guides.

Nathan Lambert: AI Safety Is Underprepared, as Seen from the Frontier Model Hacking Incident

Nathan Lambert published an article in Interconnects reviewing the OpenAI-HuggingFace hacking incident, arguing that the AI industry as a whole is severely underprepared for the risks of the next 12-24 months. He noted that OpenAI's models are stronger than Claude in inference persistence, possibly because OpenAI has bet more heavily on inference-time scaling, and that such models that continuously pursue goals deserve more safety attention. He also argued that public models and open research are irreplaceable for understanding frontier risks; currently open models lag by only 3-9 months, and restricting open models would instead weaken society's ability to respond.

OpenAI won't let some customers export chat history, but this tool can

ChatGPT Business and Enterprise users cannot export workspace chat history through OpenAI's standard data export feature, and the free tool scrapemychats offers an unofficial workaround. The tool scrapes accessible conversations and attachments through a logged-in browser session and saves them as local HTML archives that can be opened offline, but due to OpenAI's rate limiting, exporting 600 chats takes several hours. OpenAI's help page shows that Free, Plus, Pro, and some Edu users can export chats.

Open models have only 6 months left? Nathan Lambert on tightening regulation and the distillation dispute

Nathan Lambert believes that the most severe feasibility test for open-weight models is now unfolding: the White House is discussing managing open models through a new executive order, which may affect only Chinese-origin models and government uses. He judges that the most likely action is to ban, or indefinitely postpone, within the next 6 months open-weight models whose capabilities clearly exceed the GPT 5.5, Claude Opus 4.8, or GLM-5.2 range, and such models are currently most likely to come from Chinese companies. He criticizes the distillation issue led by Anthropic as having evolved into regulatory capture, and believes that if the United States alone bans imports of the relevant models, the global open-source ecosystem will continue, and instead make the United States itself harder to predict.

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Daily AI Briefing: Zhipu Open-Sources GLM-4.7; MiniMax and Zhipu Pass HKEX Hearings

Zhipu AI has launched and open-sourced GLM-4.7, achieving a state-of-the-art score of 73.8% on SWE-bench Verified and 87.4 on the tool-calling task τ²-Bench, surpassing Claude Sonnet 4.5. MiniMax and Zhipu successively passed Hong Kong Stock Exchange hearings; the former's 2024 revenue grew 782% year-over-year to $30.5 million, while the latter is valued at 24.4 billion yuan, with average daily token consumption reaching 4.2 trillion in November. In the same period, OpenAI released GPT-5.2-Codex, and Google launched Gemini 3 Flash, with response speed improved 3x.

Ethan Mollick: An opinionated guide to using AI right now

Ethan Mollick has published an opinionated guide to using AI right now, suggesting that people use OpenAI's published real-world usage data to judge when to use free models and when to upgrade to paid. He points out that the four most advanced systems are Claude, Gemini, ChatGPT, and Grok, with paid tiers at $20 per month or about $200 per month; the former suits most people, while the latter is aimed at complex technical and programming needs. For serious work, he recommends manually selecting an Agent model, such as GPT-5 Thinking Extended or GPT-5 Thinking Heavy.

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