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On August 13, 2026, Google DeepMind released Gemini 3.7 Flash, calling it its strongest flagship model for coding and agents, just three weeks after the release of Gemini 3.6 Flash. Official figures state that the model scored 43.6% on FrontierCode 1.1 Main (34.4% for 3.6 Flash), 65.3% on DeepSWE v1.1 (49.0%), 1588 versus 1538 on WebDev Arena Elo, 34.0% versus 22.0% on GDP.pdf, and 30.4% versus 17.0% on AutomationBench; through the end of the year, introductory pricing is $0.75 per million input tokens and $3.75 per million output tokens, half the original price of 3.6 Flash, and it comes with updated safeguards against CBRN and cyberattack misuse. The next day, Google AI Developers showcased it building a 3D web game with Three.js in Antigravity, as well as generating native code for Flutter, SwiftUI, Jetpack Compose, React Native, and NativeScript from a single architecture spec. On August 17, the company officially demonstrated it extracting historical plants from a Victorian botanical illustrated guide PDF and classifying them according to APG IV; on August 18 it showcased
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AWS announces that Web Answer is now generally available in Amazon Bedrock AgentCore
On November 6, 2026, AWS announced that Web Answer is now generally available in Amazon Bedrock AgentCore. According to an article published by AWS Machine Learning, agents can obtain synthesized answers with source citations in a single tool call, without needing to build their own search, retrieval, synthesis, and citation extraction pipelines. This feature returns results as an MCP tool through AgentCore Gateway; each question triggers a fresh search and page reading to verify facts, and if the evidence is insufficient, it searches again. The article also explains that Web Search still returns ranked URLs, titles, and snippets, leaving users to control the model and synthesis process themselves. The feature is currently generally available, and there is no information on further developments at this time.
On November 6, 2026, AWS announced that Web Answer is now generally available in Amazon Bedrock AgentCore. According to an article published by AWS Machine Learning, agents can obtain synthesized answers with source citations in a single tool call, without needing to build their own search, retrieval, synthesis, and citation extraction pipelines. This feature returns results as an MCP tool through AgentCore Gateway; each question triggers a fresh search and page reading to verify facts, and if t
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Apple publishes paper on amortized MIPS retrieval at ICML 2026
Apple published the paper "Amortizing Maximum Inner Product Search with Learned Support Functions" at ICML 2026, proposing to train a small neural network offline for a fixed-key database, treating Maximum Inner Product Search (MIPS) as a support function in convex analysis to learn, thereby routing queries faster and more accurately at inference time. The method includes SupportNet and KeyNet: the former uses an ICNN to learn the support function and can compute it per cluster to improve routing, while the latter directly outputs the best-matching key vector and constrains it with a consistency loss based on Euler's homogeneous function theorem. Both are trained on samples from the relevant query distribution, trading a one-time amortized cost for more efficient RAG retrieval at inference time. Currently, this work is publicly documented based on first-party materials released by Apple Machine Learning Research.
Apple published the paper "Amortizing Maximum Inner Product Search with Learned Support Functions" at ICML 2026, proposing to train a small neural network offline for a fixed-key database, treating Maximum Inner Product Search (MIPS) as a support function in convex analysis to learn, thereby routing queries faster and more accurately at inference time. The method includes SupportNet and KeyNet: the former uses an ICNN to learn the support function and can compute it per cluster to improve routin
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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.
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 mont
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NVIDIA releases AI Factory Operations Agent
NVIDIA has released the AI Factory Operations Agent for operating and maintaining its own DGX SuperPOD. The framework coordinates multiple domain sub-agents to pinpoint root causes across the compute, network, hardware, and scheduling layers, and provides recommendations through a chat interface. The framework is built on the NVIDIA NemoClaw blueprint and OpenShell, is fully deployed on-premises, uses the local open-source NVIDIA Nemotron model for inference, and runs on DGX H100, DGX B200, and DGX GB300 production clusters. The framework includes sub-agents such as Job Recovery, Hardware, Observability, Research, Kubernetes, and Cluster Management, and integrates MCP tools such as web search, code execution, and Grafana dashboards. Developer examples and open-source code are now available.
NVIDIA has released the AI Factory Operations Agent for operating and maintaining its own DGX SuperPOD. The framework coordinates multiple domain sub-agents to pinpoint root causes across the compute, network, hardware, and scheduling layers, and provides recommendations through a chat interface. The framework is built on the NVIDIA NemoClaw blueprint and OpenShell, is fully deployed on-premises, uses the local open-source NVIDIA Nemotron model for inference, and runs on DGX H100, DGX B200, and
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