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OpenAI launches chat lock feature for ChatGPT

OpenAI has launched a chat lock feature for ChatGPT. Users can set a four-digit PIN code, and on supported devices they can also use Face ID or Touch ID to protect sensitive conversations. Locked conversations are moved to a separate section, isolated from regular chat history, pinned conversations, and search results; when memory is enabled, locked conversations have their own separate memory space. The feature is being rolled out gradually to Free, Go, Plus, Pro, Business, Enterprise, and Edu users. The report also notes that the feature does not enable end-to-end encryption and does not change data retention periods. There are currently no subsequent developments.

Xiangxingqiu proposes two AIGC content-seeding creation paths

Xiangxingqiu proposes two AIGC content-seeding creation paths. According to a China.com Technology report, as one of Xiaohongshu's first batch of officially certified MCN agencies, Xiangxingqiu has integrated AIGC into two content creation paths. The report states that it has over 30,000 partner bloggers and has cumulatively served more than 1,000 brands, ranking first in the maternal and infant sector for seven consecutive years; its content middle platform can steadily output 500+ high-quality notes per day for a certain milk powder brand, raising its search occupancy rate to over 20%. The report also states that AI handles brand information verification and seeding quality assessment, while professional wording and compliance boundaries remain under human control. There are currently no facts about subsequent developments.

Watchdog groups submit new evidence to Brazil's electoral court alleging Meta favoritism

On October 20, 2026, watchdog groups Sleeping Giants Brasil and CTRL+Z submitted new evidence to Brazil's Superior Electoral Court, alleging that tools on Meta's Instagram and WhatsApp still favor Senator Flávio Bolsonaro and associate President Lula with derogatory content, even though the court has ordered Meta to ensure both candidates receive equal conditions. The evidence concerns GIF search, hashtag ranking, and answers from the Meta AI built into WhatsApp; the organizations are demanding that Meta make corrections within 24 hours and disclose the rules for ranking and AI-generated answers. Judge Bellizze had previously set a daily fine of 500,000 reais (about $99,000) and warned that it could rise to 1 million reais (about $198,000) if noncompliance continues. Meta denies intentionally favoring any candidate and has attributed earlier problems to technical glitches.

PixVerse promotes the in-app F1 Chaos gameplay

PixVerse promotes the in-app F1 Chaos gameplay. On October 17, 2026, the official PixVerse account posted a chase-themed demo video and prompted users to search for "F1 Chaos" within PixVerse to create the same effect. Currently, this gameplay is showcased to the public through the official account's demo video, and users can search for and use it in the app as instructed.

Rohan Paul says AI helped Meta increase ad volume by 14% and prices by 12%

On October 17, 2026, Rohan Paul put forward the judgment that AI increased Meta's ad volume by 14% and raised prices by 12%, because AI can better predict users' needs before they search. The same report also mentioned that Meta's advertising business is narrowing its revenue gap with Google Search, with quarterly revenue currently differing by only about $4 billion. At present, this judgment appears only in this one source, and there are no subsequent factual developments.

Xbow uses AI to discover Chrome vulnerability chain, wins Google bounty

Xbow USA researchers spent six days developing a Chrome exploit chain that first escapes the sandbox hosting the V8 JavaScript engine, then escapes Chrome's operating system process sandbox, and can launch Windows applications from within a malicious webpage; Google has already fixed the related flaws. They chose OpenAI's GPT-5.6 Sol to search the Chrome source code, validate ideas, and build a proof of concept, while strategy formulation, search direction, and verification of results remained the responsibility of the researchers. The AI compute cost $40,000, and they received a $250,000 Google bug bounty, the first under the new 2026 rules.

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Anthropic announces research on Mythos 5 autonomously designing quantum circuits

On October 17, 2026, Anthropic published a study: when given only a pure natural-language specification and an automated evaluator, Mythos 5 essentially without human intervention repeatedly submitted and improved quantum circuit designs in a closed loop, finding circuits that use fewer qubits and gates than the best previously published solutions, with some improvements reaching an order of magnitude. The elliptic-curve modular inversion design came from a single 53-hour continuous run, in which the model derived a reversible divsteps implementation that requires no storage of branch information and formally verified it with Lean; another effort reduced the gate count of the Reed-Solomon decoding step, the most expensive step in DQI, to about 1/12 of a construction previously made by Google. Anthropic also noted that the model was initially conservative and tended to follow known methods, which needed to be mitigated by requiring parallel exploration of multiple approaches and occasionally prompting it to broaden its search. Subsequent reports said the research came from the STEM Fellows program and gave differing formulations, such as a 17-fold reduction in gate count for the divsteps task.

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Gemini 4 Argon appears on the GCP quota page

On October 13, 2026, Gemini 4 Argon appeared on the GCP quota page. Testing Catalog, citing AiBattle, said the model was expected to launch within a few hours and called it a precursor to an imminent API model release; earlier that day, a Google employee had also teased an upcoming release. That evening, Testing Catalog reported that the model had begun rolling out and was already live in GCP's Agent Studio, where users could test it, with Google AI Studio and the Gemini app expected to follow. On October 14, Google officially released Gemini 4 Argon, open to developers and enterprises worldwide, usable via AI Studio and the Gemini platform API, and supported in Google Antigravity as well as the Gemini app and Search AI Mode for Ultra and Pro subscribers; reports said it supports long decoding output of up to 1,048,576 tokens and announced limited-time introductory pricing.