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Grow with Google and others host a live stream for Veterans Small Business Week

Grow with Google, American Corporate Partners (ACP) and Blue Star Families announced that they will host the third annual National Veterans Small Business Week free YouTube livestream on November 9 at 1 p.m. ET, sharing practical AI skills with veteran and military spouse entrepreneurs. The livestream will include hands-on training on using AI to run and grow a business, a talk by veteran entrepreneur Adam Baker (founder and CEO of SodaPup), and a live Q&A with ACP and Blue Star Families. There is currently no further reporting on subsequent developments regarding this livestream.

Google launches a new series featuring Henry Cavill making a game with a Googlebook

On November 4, 2026, Google launched a new series in which actor Henry Cavill used a Googlebook to create the 16-bit game "Mustache Protocol." According to the Google Blog, Cavill used Googlebook's built-in AI tools Antigravity and Rambler to turn spoken ideas into a playable game: Antigravity can convert natural-language prompts into game mechanics, Rambler handles speech-to-text to organize ideas, Magic Pointer is used to select and combine visual elements, and Continue On supports seamless switching between an Android phone and the Googlebook. After the game was completed and released, Google will donate $11 to Movember for each play during November, up to a cap of $500,000, for projects related to men's mental health, suicide prevention, prostate cancer, and testicular cancer. There are currently no facts about subsequent developments.

Google Research proposes the Agile Deliberation framework

On November 4, 2026, Google Research proposed the Agile Deliberation framework, which transforms the construction of subjective image classifiers into an iterative dialogue between humans and large language models: users first break down subcategories and exclusions, then the vision-language model proactively selects semantically boundary-case images, and the feedback enters an automatic prompt optimization loop. According to Google Research, the team validated this process in 18 real-human experiments of 1.5 hours each, stating that it reduced user fatigue and anxiety and that the resulting classifiers outperformed standard baselines; the code and algorithm have been open-sourced on GitHub. Separately, according to a Unite.AI report, the framework prototype uses Gemini 2.5 Pro for concept decomposition and Gemini 2.5 Flash for classification and boundary-sample mining, without additional training or fine-tuning; in a study where 9 participants each completed two sessions of about 90 minutes, F1 improved by 11% over the zero-shot baseline in the pay-to-play scenario and by 10% in the healthy food scenario.

Grow with Google and others host live stream for Veterans Small Business Week

Grow with Google, American Corporate Partners (ACP) and Blue Star Families announced that they will host the third annual National Veterans Small Business Week free YouTube livestream on November 9 at 1 p.m. ET, sharing practical AI skills with veteran and military spouse entrepreneurs. The livestream will include hands-on training on using AI to run and grow a business, a talk by veteran entrepreneur Adam Baker (founder and CEO of SodaPup), and a live Q&A with ACP and Blue Star Families. There is currently no further reporting on subsequent developments regarding this livestream.

View story:Grow with Google and others host a live stream for Veterans Small Business Week

Google announced that Guided Learning is globally available in Google Classroom

On November 3, 2026, Google announced that Guided Learning is globally available in Google Classroom. Previously, Google had enabled Gemini by default in Google Classroom, which is used by more than 150 million teachers and students worldwide, and last month lawmakers pressured Google over the potential harms of AI products entering schools. According to The Verge AI, Google will also embed the Guided Learning feature into Search's AI Overviews, testing it in some U.S. schools starting this month. Chris Phillips, Google's vice president of education, said that search and AI are deeply integrated, and schools cannot separately disable the Gemini feature without turning off Search. On November 5, DuckDuckGo took advantage of the controversy over Google's education AI policy to promote its own search service to schools; CEO Gabriel Weinberg posted on X documentation for switching the default search engine to DuckDuckGo, and head of public affairs Kamyl Bazbaz criticized Google for forcing AI on schoolchildren.

Google DeepMind launches cheminformatics skills for Antigravity

On November 3, 2026, Google DeepMind released a cheminformatics skills set (Cheminformatics Skills) for Google Antigravity. The skill is based on RDKit, connects to ChEMBL and PubChem, and has a language model responsible for task orchestration and scientific reasoning, while deterministic chemistry tools perform molecular computations. Taking a lung cancer drug as an example, the agent retrieved thousands of compounds within about one hour, completed matched molecular pair analysis and trained a potency prediction model, and also proposed novel rigidified macrocyclic molecule designs with synthetic routes. Google DeepMind also noted that sparse data, inter-laboratory assay noise and narrow dynamic range can limit prediction accuracy, and that computational design is only a verifiable hypothesis that still requires experimental synthesis for validation. The skill is now live on Antigravity and can be used by installing the Science plugin, and free access to the highest usage tier for six months is being offered to 10,000 scientists.

View story:Google DeepMind launches cheminformatics skill for Antigravity

Google.org provides over $9.5 million in funding to five education AI organizations

On November 3, 2026, Google.org announced that it would provide more than $9.5 million in funding to five organizations building educational AI tools, to develop AI tools for educators. Among them, Fab AI is collaborating with Google DeepMind and the Gates Foundation to build open-source models that help teachers prepare lessons and support early reading; Teaching Lab is piloting Coherence OS to provide real-time support for teachers and administrators. The remaining funds will go to related education projects at the City University of New York, the Krause Center for Innovation, and 1EdTech Global. There are currently no further developments.

Google.org provides over $9.5 million in funding to five education AI organizations

On November 3, 2026, Google.org announced that it would provide more than $9.5 million in funding to five organizations building educational AI tools, to develop AI tools for educators. Among them, Fab AI is collaborating with Google DeepMind and the Gates Foundation to build open-source models that help teachers prepare lessons and support early reading; Teaching Lab is piloting Coherence OS to provide real-time support for teachers and administrators. The remaining funds will go to related education projects at the City University of New York, the Krause Center for Innovation, and 1EdTech Global. There are currently no further developments.

View story:Google.org provides over $9.5 million in funding to five education AI organizations

Google invests over $6 million in research grants in Singapore

Google has established a research hub in Singapore and has invested more than US$6 million in research grants to the National University of Singapore (NUS) and Nanyang Technological University (NTU), covering areas such as Alzheimer's disease research, computational efficiency and regional language processing, and AI safety. Among these, NUS received a US$1.5 million AI for Science Google.org Impact Challenge Grant, NTU received US$340,000 for four AI safety research projects, and a further US$750,000 came from the AI for Science Capacity Fund Grant. Google.org and Google DeepMind also provided US$3 million to the INSEAD Singapore Thrive Lab. No further progress has been disclosed at this time.

Google invests over US$6 million in research funding in Singapore

Google has established a research hub in Singapore and has invested more than US$6 million in research grants to the National University of Singapore (NUS) and Nanyang Technological University (NTU), covering areas such as Alzheimer's disease research, computational efficiency and regional language processing, and AI safety. Among these, NUS received a US$1.5 million AI for Science Google.org Impact Challenge Grant, NTU received US$340,000 for four AI safety research projects, and a further US$750,000 came from the AI for Science Capacity Fund Grant. Google.org and Google DeepMind also provided US$3 million to the INSEAD Singapore Thrive Lab. No further progress has been disclosed at this time.

View story:Google invests over $6 million in research grants in Singapore

Google launches new series featuring Henry Cavill gaming on Googlebook

On November 4, 2026, Google launched a new series in which actor Henry Cavill used a Googlebook to create the 16-bit game "Mustache Protocol." According to the Google Blog, Cavill used Googlebook's built-in AI tools Antigravity and Rambler to turn spoken ideas into a playable game: Antigravity can convert natural-language prompts into game mechanics, Rambler handles speech-to-text to organize ideas, Magic Pointer is used to select and combine visual elements, and Continue On supports seamless switching between an Android phone and the Googlebook. After the game was completed and released, Google will donate $11 to Movember for each play during November, up to a cap of $500,000, for projects related to men's mental health, suicide prevention, prostate cancer, and testicular cancer. There are currently no facts about subsequent developments.

View story:Google launches a new series featuring Henry Cavill making a game with a Googlebook

Google Research proposes the Agile Deliberation framework

On November 4, 2026, Google Research proposed the Agile Deliberation framework, which transforms the construction of subjective image classifiers into an iterative dialogue between humans and large language models: users first break down subcategories and exclusions, then the vision-language model proactively selects semantically boundary-case images, and the feedback enters an automatic prompt optimization loop. According to Google Research, the team validated this process in 18 real-human experiments of 1.5 hours each, stating that it reduced user fatigue and anxiety and that the resulting classifiers outperformed standard baselines; the code and algorithm have been open-sourced on GitHub. Separately, according to a Unite.AI report, the framework prototype uses Gemini 2.5 Pro for concept decomposition and Gemini 2.5 Flash for classification and boundary-sample mining, without additional training or fine-tuning; in a study where 9 participants each completed two sessions of about 90 minutes, F1 improved by 11% over the zero-shot baseline in the pay-to-play scenario and by 10% in the healthy food scenario.

View story:Google Research proposes the Agile Deliberation framework

Google and Health Experts Release White Paper on AI Health Assessment

On November 4, 2026, Google, in collaboration with health experts Elizabeth McGlynn and Dana Gelb Safran, released a white paper proposing an end-to-end health AI evaluation framework that assesses models across three dimensions: accuracy, safety, and usefulness. The framework combines closed-ended question benchmarks, autoraters, and expert human review, covering common and high-risk health scenarios. Google said it has used the framework to evaluate its own models and has made the methodology public to promote transparency in the health ecosystem. Another report the same day introduced that the framework first maps key user journeys to determine test data and metrics, and covers misuse scenarios such as off-label use and bypassing safety filters; the report also noted that static benchmarks have limitations such as data contamination, that automated graders need to be validated with expert data, that the difference between two physicians on the same scoring task can reach 30–40% or more, and that continuous monitoring of algorithmic drift and clinical workflow safety is needed after deployment.

Google and health experts release AI health evaluation white paper

On November 4, 2026, Google, in collaboration with health experts Elizabeth McGlynn and Dana Gelb Safran, released a white paper proposing an end-to-end health AI evaluation framework that assesses models across three dimensions: accuracy, safety, and usefulness. The framework combines closed-ended question benchmarks, autoraters, and expert human review, covering common and high-risk health scenarios. Google said it has used the framework to evaluate its own models and has made the methodology public to promote transparency in the health ecosystem. Another report the same day introduced that the framework first maps key user journeys to determine test data and metrics, and covers misuse scenarios such as off-label use and bypassing safety filters; the report also noted that static benchmarks have limitations such as data contamination, that automated graders need to be validated with expert data, that the difference between two physicians on the same scoring task can reach 30–40% or more, and that continuous monitoring of algorithmic drift and clinical workflow safety is needed after deployment.

View story:Google and Health Experts Release White Paper on AI Health Assessment

Google Arts & Culture and the Courtauld launch The Art of Looking

Google Arts & Culture has partnered with the Courtauld Institute of Art to launch "The Art of Looking," which features 12 art history stories, allowing users to zoom in online to examine brushstroke details in works by Van Gogh, Manet, Claudette Johnson, and others. The two parties also announced a new artist residency program to explore how AI can improve metadata workflows for cultural institutions' collections. There are no follow-up reports on further developments at this time.

Google Arts & Culture and the Courtauld launch The Art of Looking

Google Arts & Culture has partnered with the Courtauld Institute of Art to launch "The Art of Looking," which features 12 art history stories, allowing users to zoom in online to examine brushstroke details in works by Van Gogh, Manet, Claudette Johnson, and others. The two parties also announced a new artist residency program to explore how AI can improve metadata workflows for cultural institutions' collections. There are no follow-up reports on further developments at this time.

View story:Google Arts & Culture and the Courtauld launch The Art of Looking

Google DeepMind launches cheminformatics skill for Antigravity

On November 3, 2026, Google DeepMind released a cheminformatics skills set (Cheminformatics Skills) for Google Antigravity. The skill is based on RDKit, connects to ChEMBL and PubChem, and has a language model responsible for task orchestration and scientific reasoning, while deterministic chemistry tools perform molecular computations. Taking a lung cancer drug as an example, the agent retrieved thousands of compounds within about one hour, completed matched molecular pair analysis and trained a potency prediction model, and also proposed novel rigidified macrocyclic molecule designs with synthetic routes. Google DeepMind also noted that sparse data, inter-laboratory assay noise and narrow dynamic range can limit prediction accuracy, and that computational design is only a verifiable hypothesis that still requires experimental synthesis for validation. The skill is now live on Antigravity and can be used by installing the Science plugin, and free access to the highest usage tier for six months is being offered to 10,000 scientists.