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Australian security firm Apate has developed an AI-based system to combat the rising number of phone scams. According to German tech media outlet t3n, the system deploys approximately 350,000 AI bots that specifically answer calls from scammers or respond to suspicious messages via instant messaging apps.

The core strategy of these bots is "time-wasting." They mimic various personalities and behavioral patterns, giving scammers false hope that they are about to succeed or that the target is vulnerable, thereby inducing them to invest more time. Dali Kafaar, CEO of Apate, told Wired magazine: "We hope we have built the perfect victims for scammers. Every minute a scammer spends talking to a bot is a minute that potentially protects hundreds, if not thousands, of people from being contacted by the same person."

Beyond consuming scammers' time, these AI agents also infiltrate online scam groups to collect information about criminals and their bank accounts. Kafaar stated that the tools have already gathered over 250,000 pieces of intelligence regarding fraudulent activities and responsible individuals. However, facing the global volume of approximately 68 billion scam calls per year (data from Truecaller), the scale of 350,000 bots remains negligible, and the current primary function is disruption and intelligence gathering rather than completely stopping scam operations.

According to Zhidongxi, Alibaba's AI music creation platform "HappyShrimp" officially launched its standalone APP version on November 13, 2026, simultaneously arriving on iOS and Android platforms. Previously available primarily as a web-based service, this mobile rollout marks a significant step toward broader consumer adoption.

Zhidongxi's hands-on review indicates that the HappyShrimp app allows users to input natural language descriptions of emotions, stories, or musical styles, after which the AI automatically handles lyric writing, composition, arrangement, and vocal performance. The report notes that generating a song approximately three minutes long takes only about one minute. The app reportedly understands complex prompts accurately and can incorporate current events into its creative output, such as generating a farewell song with specific emotional progressions based on news topics.

Beyond original creation, the app supports uploading custom lyrics and specifying reference musical styles for regeneration. The new version also introduces a "Make Same Style" feature, allowing users to discover works in an immersive feed, reuse their creative logic with one click, and substitute personal parameters (such as MBTI personality types) to quickly generate personalized versions. Currently, the platform has generated trending song charts based on user-shared content.

US-based artificial intelligence company OpenAI officially launched two new products under its Daybreak cybersecurity platform during the 'Cyber at the Frontier' event on November 12. The tools, named Daybreak Defense Factory and Daybreak Red Team, aim to help enterprises accelerate their defense and remediation speeds in response to AI-accelerated attacks. Both services are currently in early trial phases, with no pricing or general availability timeline announced.

Daybreak Defense Factory focuses on automating the patching process. Composed of AI agents built on OpenAI's latest cybersecurity model, GPT-6 Cyber, it scans code, identifies vulnerabilities, and automatically generates fixes. Crucially, these fixes are not deployed directly to production environments; instead, they are submitted to human engineers as 'merge requests' accompanied by validation tests. This design maintains human oversight, ensuring AI-generated patches are confirmed before going live.

Daybreak Red Team specializes in automated red team exercises. The tool uses OpenAI's models to perform continuous scanning and attack path simulation on enterprise web applications. It references source code and application context to investigate potential attack vectors, validates issues reported by other code scanning tools, bug bounty programs, and vulnerability disclosures, and tests the effectiveness of subsequent patches. Nancy Wang, who leads AI applications for cybersecurity at OpenAI, described it as a penetration test at the scale of automated continuous scanning, surpassing human capabilities.

OpenAI President Greg Brockman stated during the event that an enterprise's security level depends on the capabilities of the top-tier models used, requiring cybersecurity practices to be reoriented around what these models can do. He emphasized that while fundamentals remain important, the products themselves are equally critical. For enterprises facing AI-driven threats, the ability to use equivalent-grade tools to shorten the time from vulnerability discovery to remediation is a key metric for evaluating such products.

Chinese AI company DeepSeek announced on November 14, 2026, that it has officially opened its "full suite" application APIs. Features previously available only within its official App—such as web search, deep thinking, file upload, link reading, and newly added voice recognition (ASR) and speech synthesis (TTS)—are now provided as independent interfaces. Developers can combine these capabilities as needed and are billed separately for each service.

The key update lies in the comprehensive opening of multimodal capabilities. Although DeepSeek launched Search and Fetch interfaces in October, developers previously had to write custom code to orchestrate model decisions, search execution, and content summarization. Now, by simply enabling web search, the model automatically handles search timing, content retrieval, and result integration. Additionally, voice capabilities now have official independent interfaces; previously, developers building voice-enabled assistants typically needed to integrate third-party services. Currently, the V4.1-Flash model supports these extended functions across Messages, Responses, and Chat Completions interfaces.

In terms of pricing, DeepSeek has adopted an aggressive strategy to drive adoption. Voice recognition is discounted by 50% to 0.39 yuan per hour (from 0.78 yuan), and speech synthesis is also halved to 1.5 yuan per 10,000 characters (from 3 yuan). For comparison, OpenAI's GPT-Transcribe costs approximately 1.81 RMB per hour of audio, while Google Cloud's standard speech service reaches 6.43 RMB. Web search and fetching remain at 5 yuan per 1,000 successful calls, and Optical Character Recognition (OCR) is priced at 1.5 yuan per 1,000 pages.

DeepSeek has also open-sourced a lightweight chat frontend Demo that supports importing historical conversations, aiming to help developers quickly build products with functionality close to the DeepSeek App. The company stated that developers can even "replicate the complete DeepSeek App 1:1." This move indicates DeepSeek's attempt to attract developers to build next-generation AI applications on its platform by lowering basic tool invocation costs and providing a complete technology stack, rather than relying solely on its own consumer-facing chat product.

South Korean securities IT firm DefiSoft has officially launched its market analysis and investment platform, "Paave 2.0," in the Vietnamese market. The core innovation of this version allows users to build their own AI agents capable of automatically analyzing real-time quotes, financial statements, and public disclosures from the Ho Chi Minh City Stock Exchange (HOSE), Hanoi Stock Exchange (HNX), and UPCoM, and executing simulated stock trades using virtual funds.

Through the "Agent Studio" feature, users can define analytical perspectives and prompts to create researcher agents that write market reports or investor agents that execute buy/sell orders. All simulated trading results generated by these AI agents are recorded on the same leaderboard as human users, with trading logs made public to the community. This mechanism aims to lower the barrier for individual investors to use AI tools for market analysis through gamified competition.

Currently, Paave 2.0 supports only simulated trading with virtual funds, but DefiSoft plans to integrate real-money trading within the year, enabling users to place orders via their own accounts through partnerships with local Vietnamese brokers. Additionally, the platform includes a conversational analysis tool called "Paave AI" and supports connecting external large language models like Claude or ChatGPT via the MCP protocol to query market data directly.

OpenAI launched "ChatGPT Wallet" on November 13, 2026, for ChatGPT Pro subscribers in the United States. The new feature allows OpenAI's Dots AI agents to complete online shopping tasks on behalf of users. Currently, access is restricted to users aged 18 and older with a US billing address who hold eligible US-issued credit cards from American Express, Chase, Mastercard, or Visa.

According to OpenAI's support page, once a card is added to the wallet, Dots agents can use it to make purchases based on user prompts, but they must check in with the user before checking out. Every purchase made through ChatGPT Wallet requires a security check involving biometric verification, such as Face ID or a fingerprint scan. OpenAI states that this mechanism uses payment tokenization similar to Apple Pay or Google Wallet: actual credit card details are not shared with the agent or the merchant, protecting user privacy.

While the current version mandates user approval for each transaction, OpenAI indicated future plans to allow users to set parameters like spending limits, purchase categories, or time periods, enabling fully delegated pre-approved purchases. However, widespread adoption faces hurdles. Some retailers restrict or block AI agents entirely. OpenAI noted that websites need to ensure agents are not inadvertently blocked, and payment systems must recognize legitimate agent-initiated purchases. Amazon previously blocked Meta's Muse agents, highlighting the cautious stance of major e-commerce platforms toward agentic shopping.

Scott Stevenson, CEO of legal AI company Spellbook, recounted an experience in a November 2026 interview with Forbes: Anthropic employees had assured him that the company had no plans to compete directly in the legal software market, before Anthropic launched Claude for Legal, which includes contract review features overlapping with Spellbook's core business. Stevenson did not abandon Claude—Anthropic still showcases Spellbook on its customer page today, reporting that its Claude-powered agents perform approximately 530,000 contract reviews per month. However, he drew a conclusion: 'Anthropic has been a great partner, but it made us realize they are a massive company and two parts of the org can have conflicting mandates.'

Gerald Zingraf, President and COO of GlacierGrid, expressed similar concerns on LinkedIn, comparing Anthropic's strategy to Amazon's private-label business. His worry is that Anthropic can see which third-party integrations customers use most frequently and potentially leverage that information when deciding which capabilities to build itself. 'Makes me nervous for wrappers and pure SaaS companies,' he wrote, citing his own experience selling design products on Amazon and then watching the retailer launch competing products.

Todd Saunders, CEO of Dalton Mills, posted on X after Anthropic launched Claude Code Review, directly stating that 'Anthropic is the new Amazon,' warning developers building on the Claude SDK that the company could observe application usage and eventually incorporate competing functionality into Claude.

These concerns point to a specific mechanism: Anthropic controls the interface between users and third-party applications. The November 10, 2026 announcement introduced Claude Sheets, Claude Whiteboards, and Claude Data, while previewing Claude Meetings. Expanded interactive connectors allow partners to embed applications directly inside Claude, with software from Adobe and Atlassian already included. This means Anthropic acts simultaneously as a technology supplier, an owner of the application distribution channel, and a potential functional competitor—the tension among these triple roles is structural, regardless of any single decision-maker's goodwill.

However, the article itself remains cautious regarding the strongest allegations. Regarding Zingraf's concerns, the author explicitly states that 'he provided no evidence that the company uses integration data to identify competitors or guide its product roadmap.' Regarding Stevenson's experience, the author similarly notes that 'Stevenson’s account does not establish that Anthropic used Spellbook’s proprietary information to develop its legal product.' Anthropic’s commercial terms stipulate that customers retain rights to their inputs and own their outputs, and the company agrees not to use customer content to train models; its commercial privacy documentation also clarifies that feedback data excludes content pulled through connectors (including local and remote MCP servers) unless users paste it directly into a conversation.

US Treasury Secretary Scott Bessent recently questioned in a CNBC interview whether Nvidia knowingly sold restricted AI graphics processing units (GPUs) to shell companies. He pointed out that despite strict US export controls, a significant amount of restricted hardware still reaches competitors like China through intermediaries.

Bessent emphasized that the issue should not focus solely on the personal actions of Nvidia CEO Jensen Huang, but rather on whether Nvidia knew its clients and had robust internal measures to prevent such "leakage." He stated, "I think it is important that anyone at the company there be held accountable for that."

He also criticized Nvidia's General Counsel Timothy Teter, who reportedly contacted the US Department of Commerce to inquire about authorities' involvement in detaining Megaspeed's Alice Wong in Singapore. Bessent argued that Teter should have focused on strengthening internal oversight rather than haranguing government officials. However, Bessent acknowledged that it remains unclear whether Huang himself was aware of these potentially illicit activities.

Additionally, Bessent revealed that the Departments of the Treasury, War, and State, along with the Office of the US Trade Representative (USTR), had supported adding Megaspeed to the Entity List for months. However, the Bureau of Industry and Security (BIS) under the Department of Commerce delayed this action due to concerns about worsening trade tensions with China.