At AGNTCon + MCPCon, Google Cloud announced the launch of Agent Compute Engine (ACE), a VM type built specifically for AI agents and aimed at large-scale operation scenarios. The system comprises four components—Agent Gateway, Agent Registry, Agent Identity, and Agent Observability—and also expands Gemini's capabilities for enterprise agent governance.
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Google Cloud unveiled a research reference architecture codenamed Project Chrysalis, demonstrating how to run governed self-evolving AI agents on the Gemini Agent Platform and ADK. In a simulated Black Friday cache avalanche failure, the architecture reduced time to first mitigation from 15–45 minutes to 1.8 seconds, cut the HTTP 5xx error rate from 72.7%–80.0% to 0.0%, and lowered P99 latency from 519.8 ms to 18.2 ms. All autonomous operations are constrained by governance controls including Model Armor, Cloud KMS, Binary Authorization, OPA, and two-person review HITL.
Google Cloud unveiled a research reference architecture codenamed Project Chrysalis, demonstrating how to run governed self-evolving AI agents on the Gemini Agent Platform and ADK. In a simulated Black Friday cache avalanche failure, the architecture reduced time to first mitigation from 15–45 minutes to 1.8 seconds, cut the HTTP 5xx error rate from 72.7%–80.0% to 0.0%, and lowered P99 latency from 519.8 ms to 18.2 ms. All autonomous operations are constrained by governance controls including Mo
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Former Google CEO Eric Schmidt said he used to work about 63 hours a week, spending 12 hours a day in meetings, and that AI platforms can eliminate this "coordination tax." He estimates that in a company of 10,000 people, several thousand are redundant, and advises Gen Z not to resist AI but to get on this "rocket ship."
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Google announced that streaming support for API Gateway has entered public preview. SSE, chunked transfer, WebSocket, and gRPC streaming endpoints can share the same gateway and policies with existing APIs, with no changes required to API specifications. Streams can remain open for up to one hour; during the preview period, this must be enabled when creating a gateway, and existing gateways cannot be converted in place. Combined with model routing, clients can use a single OpenAI-compatible endpoint to route to Gemini, Claude, and OpenAI gpt-oss models based on the model field in the request and return streamed responses. The gateway's default domain name has changed to a fixed format composed of the gateway ID, project number, and region, which can be written into the configuration before creation.
Google announced that streaming support for API Gateway has entered public preview. SSE, chunked transfer, WebSocket, and gRPC streaming endpoints can share the same gateway and policies with existing APIs, with no changes required to API specifications. Streams can remain open for up to one hour; during the preview period, this must be enabled when creating a gateway, and existing gateways cannot be converted in place. Combined with model routing, clients can use a single OpenAI-compatible endp
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The official Google Gemini account explains how to quickly generate a web app from a prompt and turn it into a usable website. The quoted Chandu Thota says that you can now export an interactive web app built in the Gemini App directly as a private site draft in Google Sites, with no need to copy code or rebuild the app; after customizing it, you can publish and share it with your team, customers, or students.
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Google announced that it will open a preview of Agent Compute Engine to Google Cloud users later this year, providing each AI agent with a hardware-isolated microVM that balances container startup speed with sandbox security. The service was originally internal infrastructure for Gemini, Antigravity, and Google's model training pipelines; when an agent is idle, it checkpoints the microVM to free up resources. Google is also offering an open-source runtime, Agent Substrate, which can run on any Kubernetes cluster; the company says that in a benchmark of 200,000 agents it achieved 500 activations per second, with suspend and resume taking under half a second.
Google announced that it will open a preview of Agent Compute Engine to Google Cloud users later this year, providing each AI agent with a hardware-isolated microVM that balances container startup speed with sandbox security. The service was originally internal infrastructure for Gemini, Antigravity, and Google's model training pipelines; when an agent is idle, it checkpoints the microVM to free up resources. Google is also offering an open-source runtime, Agent Substrate, which can run on any K
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Google DeepMind and Google Research, together with the World Resources Institute (WRI) and the International Institute for Applied Systems Analysis (IIASA), released Forest Typology (ForTy) 2020, which classifies every 10×10-meter parcel of land worldwide into six forest and land-use types, serving as a key baseline for the European Union's deforestation regulation. The team trained the model on about 1.7 million labeled locations and used AlphaEarth Foundations embedding vectors as a key input; in validation at more than 9,000 randomly sampled points, the forest type classification accuracy was 90%, and the accuracy in distinguishing forest from non-forest was 95%. A companion year-by-year time series from 2017 to 2025 is also openly available and can be used free of charge under an open license on Google Earth Engine.
Google DeepMind and Google Research, together with the World Resources Institute (WRI) and the International Institute for Applied Systems Analysis (IIASA), released Forest Typology (ForTy) 2020, which classifies every 10×10-meter parcel of land worldwide into six forest and land-use types, serving as a key baseline for the European Union's deforestation regulation. The team trained the model on about 1.7 million labeled locations and used AlphaEarth Foundations embedding vectors as a key input;
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Google has begun rolling out Gemini to users in Google Maps on Apple CarPlay. A Gemini star icon will appear on the right side of the navigation interface; tapping it allows users to issue multi-step, open-ended commands by voice. Users can ask about scenic spots, the current crowd levels at a location and quieter times, directly request to avoid toll roads when giving an address, and report traffic conditions such as congestion and accidents while driving. The feature launches first in the United States and will roll out to other regions worldwide in the coming weeks.
Google has begun rolling out Gemini to users in Google Maps on Apple CarPlay. A Gemini star icon will appear on the right side of the navigation interface; tapping it allows users to issue multi-step, open-ended commands by voice. Users can ask about scenic spots, the current crowd levels at a location and quieter times, directly request to avoid toll roads when giving an address, and report traffic conditions such as congestion and accidents while driving. The feature launches first in the Unit
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Google Marketing Platform launches the first monthly Drop series, rounding up the latest product updates. The Display & Video 360 Marketplace is curated by Gemini models, offering personalized media packages that can be activated with one click, and now includes programmatic inventory from LinkedIn CTV Ads; the new Search Ads 360 homepage likewise uses Gemini to consolidate insights, generate recommendations, and simplify execution. Gartner has named Google a Leader in the Magic Quadrant for Ad Platforms, ranking first across all three use cases: full-funnel, awareness, and performance.
Google Marketing Platform launches the first monthly Drop series, rounding up the latest product updates. The Display & Video 360 Marketplace is curated by Gemini models, offering personalized media packages that can be activated with one click, and now includes programmatic inventory from LinkedIn CTV Ads; the new Search Ads 360 homepage likewise uses Gemini to consolidate insights, generate recommendations, and simplify execution. Gartner has named Google a Leader in the Magic Quadrant for Ad
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Google and Voltus are raising their virtual power plant target for the PJM grid tenfold, from 100 MW set in June to 1 GW, with data center developers paying users to reduce electricity use or provide battery capacity during peak demand. Voltus has already secured customer commitments to supply power through 2040, far longer than PJM capacity auctions typically require three years in advance. PJM serves about 67 million people, and its cost of meeting peak demand has risen more than eightfold in recent years; large loads such as data centers are expected to add 30 to 34 GW of demand by the early 2030s.
Google and Voltus are raising their virtual power plant target for the PJM grid tenfold, from 100 MW set in June to 1 GW, with data center developers paying users to reduce electricity use or provide battery capacity during peak demand. Voltus has already secured customer commitments to supply power through 2040, far longer than PJM capacity auctions typically require three years in advance. PJM serves about 67 million people, and its cost of meeting peak demand has risen more than eightfold in
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A new paper from Google DeepMind and Cambridge shows that a Gemini-based agent can autonomously discover new mathematics, finding and providing exact rules for 11 Busy Beaver Turing machines that previously had no analysis on record. The agent tests edge cases in a simulator, drafts informal proofs, and then completes the proofs in the Lean proof checker; all the relevant rules passed Lean verification. The paper states that this reflects AI moving from answering mathematical questions posed by humans toward open-ended discovery.
A new paper from Google DeepMind and Cambridge shows that a Gemini-based agent can autonomously discover new mathematics, finding and providing exact rules for 11 Busy Beaver Turing machines that previously had no analysis on record. The agent tests edge cases in a simulator, drafts informal proofs, and then completes the proofs in the Lean proof checker; all the relevant rules passed Lean verification. The paper states that this reflects AI moving from answering mathematical questions posed by
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On October 8, the Google Developers Blog published a reference implementation of AQuA (Ambient Quality Agent), which runs a quality agent alongside production agents, responsible for clustering failed conversations, reviewing issues, and anchoring diagnoses to deployed source code snapshots. The article argues that it will not make testing disappear, but rather hands over to test teams the tasks of defining anomalies, calibrating evidence, and bearing release responsibility, and presents three validation methods: injecting known faults, blind review controls, and root-cause replay.
On October 8, the Google Developers Blog published a reference implementation of AQuA (Ambient Quality Agent), which runs a quality agent alongside production agents, responsible for clustering failed conversations, reviewing issues, and anchoring diagnoses to deployed source code snapshots. The article argues that it will not make testing disappear, but rather hands over to test teams the tasks of defining anomalies, calibrating evidence, and bearing release responsibility, and presents three v
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On October 8, the Google Developers Blog published the AQuA (Ambient Quality Agent) reference implementation, which places a quality agent alongside production agents, responsible for clustering failed conversations, reviewing issues, and anchoring diagnoses to deployed source code snapshots. The article argues that this type of outer-loop quality inspection may still share blind spots with production agents in models, logs, and business definitions, and that test teams need to shift toward designing observability surfaces, calibrating anomaly labels, maintaining evidence chains, and defining escalation rules. The article also presents three validation methods—injecting known faults, blind-review controls, and root-cause replay—as well as a phased adoption path for small teams.
On October 8, the Google Developers Blog published the AQuA (Ambient Quality Agent) reference implementation, which places a quality agent alongside production agents, responsible for clustering failed conversations, reviewing issues, and anchoring diagnoses to deployed source code snapshots. The article argues that this type of outer-loop quality inspection may still share blind spots with production agents in models, logs, and business definitions, and that test teams need to shift toward desi
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A new Google paper proposes OO-Harness, which evolves agent harnesses by code class: each specialized harness inherits from a parent class and changes only the parts that its task cluster needs adjusted, after which a router selects a specialized harness or keeps the base result based on the base run's outcome. On AutomationBench business workflows, this method scores 77.41%, versus 61.62% for the base harness and 63.92% for the global method Meta-Harness; on unfamiliar applications it retains the base harness and maintains a 59.18% pass rate, while Meta-Harness's global harness drops to 44.90%. The authors recommend using the base harness as a fallback for mixed workloads and routing to a specialized harness only when a run exposes a known problem.
A new Google paper proposes OO-Harness, which evolves agent harnesses by code class: each specialized harness inherits from a parent class and changes only the parts that its task cluster needs adjusted, after which a router selects a specialized harness or keeps the base result based on the base run's outcome. On AutomationBench business workflows, this method scores 77.41%, versus 61.62% for the base harness and 63.92% for the global method Meta-Harness; on unfamiliar applications it retains t
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Google Cloud announced that it is bringing OpenAI models into its model garden, with GPT-6 Astra, GPT-6.1 Sol, and GPT-6 Luna now available on Google Cloud. Google Cloud says it is the only hyperscale cloud provider offering leading closed-source large models from all three of OpenAI, Anthropic, and Google, with more than 200 other models also on the platform.
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OpenAI announced that it is bringing its frontier models and Codex agent workflows to Google Cloud's Model Garden, enabling enterprises to use these technologies within their existing build environments. The original article did not disclose a specific launch date, the list of available models, or pricing information.
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Alex Heath asked Google CEO Sundar Pichai why the company recently let free cash flow turn negative for the first time in order to increase AI capital expenditure, and Pichai responded that it is not based on hope alone. He said making this decision requires confidence on multiple levels: Google sees early signals of diverse opportunities and strong demand from consumers to enterprises; at the same time, the company itself, as an AI user, also has demand signals and can independently assess progress at the capability frontier, and research breakthroughs led him to judge that Gemini 5.0 will be significantly stronger than Argon. He also mentioned that Google is signing long-term contracts with committed revenue, so it is planning its business portfolio and investing in a responsible and disciplined manner.
Alex Heath asked Google CEO Sundar Pichai why the company recently let free cash flow turn negative for the first time in order to increase AI capital expenditure, and Pichai responded that it is not based on hope alone. He said making this decision requires confidence on multiple levels: Google sees early signals of diverse opportunities and strong demand from consumers to enterprises; at the same time, the company itself, as an AI user, also has demand signals and can independently assess prog
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Google CEO Pichai said that the company's space data center project Project Suncatcher is about to reach its "hello world" moment with TPUs, and the team will achieve important milestones within 10 to 20 years. He said that sun-synchronous orbit can provide 24/7 energy, which is the first-principles basis for the project, while Earth's physical space is limited and difficult to support the exponential growth of computing demand over the next 20 years.
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Google Cloud has begun offering Gemini, Claude, and OpenAI models on the same platform, becoming the only major cloud provider to list all three. The OpenAI models launched this time include GPT-6 Astra, GPT-6.1 Sol, and GPT-6 Luna, initially available as a private preview to select enterprise customers, and they will appear in Gemini for Business and Google Antigravity, with fees billed uniformly through Google Cloud. Google says customer data will not be used for training, and the article also mentions the resource conflict between providing compute for cloud customers and its own Gemini team.
Google Cloud has begun offering Gemini, Claude, and OpenAI models on the same platform, becoming the only major cloud provider to list all three. The OpenAI models launched this time include GPT-6 Astra, GPT-6.1 Sol, and GPT-6 Luna, initially available as a private preview to select enterprise customers, and they will appear in Gemini for Business and Google Antigravity, with fees billed uniformly through Google Cloud. Google says customer data will not be used for training, and the article also
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Starting with version 1.5.0, Google Cloud's Agents CLI introduces an Extension System that allows developers to override or add commands without forking the tool; version 1.8.0 debuts the first LangChain extension, replacing ADK-bound commands with equivalent LangChain implementations. Extensions are declared via agents-cli-extension.yaml in a Git repository and can override built-in commands such as playground, deploy, and eval generate, or add new commands; enterprise platform teams can use this to enforce policies such as SBOM scanning in deployment pipelines.
Starting with version 1.5.0, Google Cloud's Agents CLI introduces an Extension System that allows developers to override or add commands without forking the tool; version 1.8.0 debuts the first LangChain extension, replacing ADK-bound commands with equivalent LangChain implementations. Extensions are declared via agents-cli-extension.yaml in a Git repository and can override built-in commands such as playground, deploy, and eval generate, or add new commands; enterprise platform teams can use th
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