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Peter Yang releases the /video-short skill

On October 22, 2026, Peter Yang released the free AI skill /video-short. This skill can turn raw single-person recording footage into a polished short video, automatically adding B-roll, motion graphics, subtitles, AI video, and music, and can be used with commonly used AI agents; it is now freely available on GitHub. A report the same day mentioned that the skill includes a built-in review page where users can pause on a frame and leave comments for the AI to correct; the agent applies each piece of feedback before loading the next draft. Peter Yang described this as being like Google Docs comments for video, and provided a free GitHub access link and tutorial.

English translation is being prepared.

INMO GO3 smart glasses go on sale, priced at $509

The INMO GO3 smart glasses are now on sale, priced at $509. According to 9to5Google, the product features one MicroLED display for each eye, with brightness up to 1500 nits and a 30-degree field of view, and integrates Google Gemini. In terms of features, it supports real-time translation in 98 languages, 13 of which can run fully offline, and can also take notes during meetings, with summaries to be presented directly through the glasses later. The device weighs 58 grams, has a replaceable battery, and its camera is equipped with a physical privacy cover; a speaker, a control ring, and sunglass overlays are also available as optional accessories. There are currently no further developments.

Sundar Pichai says Argon usage reached nearly 25 trillion tokens within 72 hours of launch

Sundar Pichai said that within 72 hours of Google's Argon going live, usage approached 25 trillion tokens, roughly 3 times the usage of Gemini 3.0 over the same period. He also mentioned that the model is currently being served, but compute capacity is limited. The remarks came from a video on Alex Kantrowitz's YouTube channel.

Rohan Paul evaluates Vyb's structured design output by layers

Rohan Paul evaluated the layer-by-layer structured design output of Vyb, a design model launched by Coco Labs. According to his introduction, Vyb generates graphics element by element, with each element independently forming its own layer; text remains editable text, graphics remain vectors, and photos remain pixels, and the structure is fully preserved when exported to Figma. On 145 randomly selected Google fonts, scored by pixel overlap (IoU) with programmatic rendering, Vyb achieved 90.3%; the measurement ceiling for this test is 94.4%, and the strongest image model in the comparison scored 76.0%. There are currently no follow-up developments.

RadixArk SGLang team open-sources SGLang-TorchTPU

The RadixArk SGLang team has open-sourced SGLang-TorchTPU. According to information published on the LMSYS Blog on October 20, 2026, the team, together with Google and Meta, launched this PyTorch-based native backend, bringing SGLang's full serving stack to Google Cloud TPU, and it has already been used in Meta's large-scale production environment. Initial support covers models including Muse Spark Open, GLM-5.3, Kimi K3, DeepSeek V4, Qwen3.8, and Gemma 4, spanning features such as speculative decoding, KV cache offloading, PD disaggregation, and FP8 KV cache. The team also used TorchTitan and Miles to complete GRPO training of Qwen3-4B on a single 4-chip TPU v7x, with the reward curve consistent with a 6-card H200 baseline within the range of random fluctuation. There are currently no subsequent development facts.

Vivo V80 features flagship AI camera modes

On October 20, 2026, the Vivo V80 was reported to feature Vivo's flagship AI Creation camera mode. According to a 9to5Google report the same day, the phone is priced at ₹62,999 (about $660); the mode can automatically recognize scenes and apply styles, and can also remove people from photos with one tap. The report said the mode relies entirely on cloud processing, takes about one minute per image, can process up to 10 images at once, and keeps the original images in the gallery. The report also noted that Vivo does not label AI edits using standard methods such as SynthID, and only writes "ai_creation" into the EXIF comments field. There are currently no further developments in this story.

Cloudflare launches Cloudflare OS managed service

Cloudflare has announced a managed service for its AI business platform Cloudflare OS, with a waitlist now open for registration. Cloudflare OS was open-sourced in August this year and can be deployed in Cloudflare environments, on-premises, or in the cloud. It supports integration with Cloudflare Workers AI as well as AI services from Anthropic, OpenAI, Google, and others, and has the ability to securely access enterprises' internal data. This release also adds two new features: first, connecting GitHub repositories, allowing AI agents to add features, debug, view PRs, create commits, and push code based on repository code; second, enhanced Google Workspace integration, enabling agents to read and search Gmail conversations, draft and send emails, and connect to Google Drive, Docs, and Sheets.

Hassabis shortens AGI timeline to two to three years

Google DeepMind founder and Nobel Chemistry laureate Demis Hassabis offered his judgment that artificial general intelligence (AGI) may arrive within the next two to three years. Earlier this year he had estimated three to five years. Hassabis defines AGI as a system that can match the full cognitive scope of the human brain, and uses the "Einstein test" as the criterion, namely whether a system trained only on knowledge from before 1901 could reproduce Einstein's 1905 papers. Other reports say that in an interview with The Wall Street Journal he shortened the timeline to the next 2 to 3 years, and mentioned that earlier expectations ranged from 5 to 10 years, to within 5 years, to 2030. There are currently no further developments confirmed by factual evidence.

MiniMax thanks for bringing H3 to TPU and looks forward to open-source work on efficient video inference

MiniMax responded to SGLang including MiniMax H3 in the TPU support list of SGLang-TorchTPU, expressing thanks and saying it looks forward to more open-source work around efficient video inference. SGLang said that SGLang-TorchTPU was jointly built by SGLang, the Google TPU team, and the Meta PyTorch team, has been used for Meta's production inference, and supports models including Muse Spark Open, GLM-5.3 Flash, Kimi K3, Ling 3.1 Flash, and MiniMax H3. There are currently no facts about subsequent developments.

Sundar Pichai discusses Argon, the frontier, and the personal agent plan

On October 21, 2026, Alex Heath previewed that Sundar Pichai would appear on the Sources program the next day. On October 22, Pichai posted that he had sat down with Alex Heath to talk about Argon, frontier models, and Google's personal agent plan; the quoted interview content covered early reactions after the release of Gemini 4 Argon, areas where the model still needs improvement, changes in DeepMind leadership, and Google's response in the personal agent race. On the same day, another report said that in the Sources Podcast conversation, Pichai confirmed that Google's research results had already shown that Gemini 5 would be a substantial improvement over Argon, and stated that this internal judgment was one of the main reasons he is currently willing to invest heavily in compute.

Report says Eric Schmidt holds a 1% stake in Anthropic

According to Bloomberg, former Google CEO Eric Schmidt holds about a 1% stake in Anthropic. TechCrunch AI reported on October 21, 2026 that Schmidt participated in Anthropic's Series A funding round in 2021, investing tens of millions of dollars; this stake is about half of the 2% held by co-founder and CEO Dario Amodei. The report also said Anthropic is widely expected to go public before the end of the year, with a maximum valuation expected to reach $2 trillion, at which point the value of Schmidt's stake could increase by as much as $20 billion; neither Schmidt nor Anthropic immediately responded to requests for comment. The next day, Fortune AI reported, citing people familiar with the matter cited by Bloomberg, that if Anthropic goes public at a target valuation of $2 trillion, this stake could be worth $20 billion; the report said Schmidt was introduced to Dario Amodei by Cami Clark and participated in Anthropic's $124 million Series A funding round in 2021, when the company was valued at $461 million. There have been no further developments so far.

OpenAI and Google Cloud reach partnership; frontier models and Codex to launch on Google Cloud

On October 21, 2026, OpenAI announced a partnership with Google Cloud to bring its frontier models and Codex agent workflows to Google Cloud's Model Garden, allowing enterprises to use these technologies within their existing build environments. OpenAI's official statement did not disclose specific launch timing, the list of available models, or pricing information. Subsequent reports said that GPT-6 Astra, GPT-6.1 Sol, GPT-6 Luna, and Codex will launch on Google Cloud, with the first batch of models already available to select enterprise customers in private preview and a general availability plan to roll out in the coming weeks; enterprises can call them via the Google Cloud API and purchase them on Google Cloud Marketplace using their cloud account balances. Other reports said that GPT-6 Astra, GPT-6.1 Sol, and GPT-6 Luna are already live on Google Cloud.

Trump demands data centers generate their own power and pay dividends to communities

On October 21, 2026, Trump posted on Truth Social stating that large new data centers must generate their own power and pay cash "dividends" to their host communities. Related reports noted that the closest existing commitment is the Ratepayer Protection Pledge signed in March of that year by Amazon, Google, Meta, Microsoft, OpenAI, Oracle, and xAI, under which signatories pledged to build or purchase generating capacity and bear infrastructure upgrade costs, though experts believe the pledge may not be enforceable at the federal level. Trump said the dividend proposal goes further than that pledge. Reports on October 22 further stated that Trump also demanded that data centers supply surplus power to local communities free of charge or sell it to them, and noted that communities across the United States have continued to protest AI data center projects over rising electricity prices, noise, water shortages, and other issues. There are currently no facts on subsequent developments.

English translation is being prepared.

Apple updates App Store Review Guidelines to address AI non-consensual intimate imagery

On October 16, 2026, Apple updated the App Store Review Guidelines, targeting AI-generated non-consensual intimate imagery and apps that conceal harmful features during review. The revised Guideline 1.2 requires apps hosting user-generated content to take measures to prevent and remove intimate images created without consent, and to provide reporting and blocking channels; Guideline 2.5.19 explicitly states that developers must not misrepresent an app's purpose during review or add undisclosed features after launch, and violations may result in removal of both the app and the developer account. Reports say the adjustment stemmed from investigations finding that such undressing apps were still listed, with cumulative downloads of 483 million and revenue exceeding $122 million for the apps involved, and Apple has removed 15 of them. On October 22, the Tech Transparency Project published an investigation stating that, using four test accounts for 13-year-old boys, it found that even with parental controls enabled, 135 AI apps capable of generating nude images could still be accessed on the Apple and Google app stores; both platforms rely on developer questionnaires to self-report age ratings. As of September 28, Apple had removed 25 apps and Google 6, but all the removed apps remained fully usable on the test phones.

Researchers at the University of Melbourne propose that generative AI is distorting archaeology and flattening Indigenous knowledge

Researchers at the University of Melbourne argue in an article on AIhub that generative AI is distorting archaeology and flattening Indigenous knowledge. The article states that GenAI scrapes and reuses Indigenous cultural and intellectual property (ICIP) on a large scale without consent, compressing local Indigenous knowledge tied to specific lands and communities into statistical patterns, thereby erasing its context. The authors say their recent research found that AI can often distinguish science from Indigenous consensus and long-circulating fringe narratives, but that this capability itself relies on training data collected or reproduced without community permission. The article also mentions that among the top results of a Google image search for "cultural heritage Australia" is a GenAI-fabricated image of a nonexistent giant stone carved head circulating. This judgment is currently reported by a single source, with no subsequent factual developments.

Synaptics launches the Astra SR200 series of edge AI processors

Synaptics has launched the Astra SR200 series of multimodal edge AI processors, integrating the Coral NPU architecture developed in collaboration with Google Research. The series includes three models, the SR210, SR230, and SR250, with AI compute of 200, 300, and 400 GOPS respectively, targeting AI glasses, smart wearables, smart cameras, and industrial vision. The products use a dual-processor architecture with Arm Cortex-M85 and Cortex-M52, integrate up to 8MB of SRAM and custom DRAM expandable to hundreds of MB, and support on-device execution of models such as Transformers. The two parties also launched the Coralboard SR development board equipped with the SR250 and the open-source Torq AI compiler, supporting on-device deployment of models such as Gemma 3 270M. The series has now been officially released, with no further updates at this time.

WSJ sees Anthropic's draft IPO filing

The Wall Street Journal has seen Anthropic's draft IPO filing. A report dated October 21, 2026, said the draft showed Anthropic had first-half revenue of $16.3 billion and a book loss of $80.7 billion, with compute commitments of about $450 billion; the draft also disclosed fixed payments totaling $25.2 billion to Google, AWS and Microsoft over the next 7 to 10 years, payable whether or not the capacity is used. A report dated October 22 said the same draft showed first-half revenue of $16.3 billion, up nearly 14-fold year over year, and a net loss of $80.7 billion, of which about $72 billion came from the revaluation of financing instruments such as convertible notes; compute and infrastructure spending in the same period was nearly $9 billion, about 55% of revenue, and forward compute commitments exceeded $600 billion, potentially reaching as high as $750 billion if additional agreements are finalized. There is currently no further progress confirmed by factual evidence.

English translation is being prepared.