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lion higher than analysts' expectation of $32.3 billion. Alphabet, which reported earnings the same day, said Google Cloud revenue for the same quarter was $30.7 billion, slightly smaller than Azure in scale, but its year-over-year growth rate was about twice that of Azure. Azure accounted for about 36% of Microsoft's total revenue of $92.3 billion for the quarter, and was grouped into the newly created Agents and Infra business segment, which had revenue of $76.8 billion, up 25% year over year.

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rd to 2027, believing that investing in frontier technology can gradually make the future a reality. He pointed out that one chart covers the topics discussed in Indigo Talk EP43 with Zheng Di: chips and computing, robots and manufacturing, experiments and materials, trustworthy Agents and the new economy, transportation and space, life sciences and human-machine symbiosis, ultimately pointing to a Kardashev Type II solar-system civilization, and he estimates it can be achieved within a century.

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Anthropic platform lead Katelyn Lesse believes that no matter how powerful the models become, multi-agent systems producing trustworthy results still depends on engineers getting infrastructure, identity and authorization, security isolation, observability, and kill switches right—and most of these problems remain unsolved. She points out that agents are isolated, stateful, single-instance workloads, unlike the stateless replicas Kubernetes excels at, and names new runtimes such as Google's Agen

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fal has launched the Faloween Halloween monster creation contest. Participants can use any image model on fal or the fal Agent to generate original monsters, publish them to Instagram or X within 48 hours, and tag @fal with faloween to enter. The fal team will select one winner, who will be awarded $500 in fal credits, and their monster will appear in the full trailer released on October 31.

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has raised a $40 million Series B at a $600 million valuation, led by Elad Gil with participation from Gradient and Y Combinator. The funds will be used to accelerate product development, expand the engineering and marketing teams, and build security infrastructure for AI agents. Its Agent Vault is currently labeled as a preview version; it uses a forward proxy to attach real credentials when a request is sent, so that secrets do not enter the agent's environment, file system, or model context.

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Avante has completed a $30 million Series A funding round led by Frist Cressey Ventures, bringing total funding to $40 million, with the funds to be used for global expansion and agent platform development. The company has launched a beta version of Ava Agents that runs in the background and outputs for teams to review, and says it has more than 70 customer accounts within 18 months of launch, with the platform covering more than 385,000 employees and dependents. Its technology calls models from

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Replit CEO Amjad Masad has proposed a "self-driving company" vision, arguing that AI agents will compress internal coordination costs within enterprises, and predicts that by the end of 2030 all Fortune 500 companies will become self-driving companies. To this end, Replit has launched Replit for Business and the "Agent Habitat" concept; Cloud Agents are already available to Pro and Enterprise customers, while skills remain in early access. Replit's internal testing shows token consumption droppe

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OpenAI Codex 0.165.0 adds a built-in Google Cloud Vertex AI provider (configured via model provider = "gcp") and adds GPT-6.1 Terra to the model catalog. This version also enables memory v2 by default and supports importing external agent memory, while allowing reasoning effort to be adjusted during conversations by default. The session selector adds repository filtering, and the agent command center supports grouping by directory.

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3.5 Lightning with them. The workflow includes defining behavior contracts, generating synthetic conversations with personas, fine-tuning with LoRA on NVIDIA NeMo, merging adapters, and then comparing and evaluating item by item against the base model on a frozen test set. The France dataset was built in collaboration with Pleias, and the Belgium dataset involved Pleias and KU Leuven; the Nemotron repository provides reusable steps and agent skills for data generation, training, and evaluation.

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ased on intelligence per dollar, and API changes such as requiring thinking blocks to be retained across turns to prevent distillation. The interview also described Claude Managed Agents' approach of separating sessions and the harness from the sandbox that executes code, with credentials mounted separately through a proxy so that a sandbox failure does not take down the entire session; Dreaming, meanwhile, is implemented as one managed agent inspecting another agent's history and writing back t

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general-purpose privacy library that runs within clients across hundreds of data and processing systems and performs billions of checks per second. A system only needs to integrate it once, and new privacy requirements can reuse that integration as modules, without the need to reimplement them in each system. The newly added Agent Observability module can observe data access events of internal AI agents, and systems that have already integrated it can enable it without additional modifications.

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LangChain's GTM engineering team, working with the design team, built Content Studio, a design agent inside Slack, on Managed Deep Agents. It can generate videos, social graphics, UI mockups, and slide decks, and has already produced more than 3,000 assets and over 80 slide decks. The article breaks down its four-layer knowledge structure (skills, wiki, code validation, memory), the dedicated LangSmith Sandbox for each Slack thread, the two rendering engines HyperFrames and the in-house motion-s

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Analysis Intelligence Index v5 with a score of 59, leading in four of the 9 evaluations: HLE-Diamond, Terminal-Bench-Science, AA-Omniscience, and AutomationBench-AA. On the Coding Agent Index, Gemini 4 Carbon (high) paired with the Antigravity CLI scores 59, trailing Claude Code paired with Claude Opus 5.5 (max, 62 points) by 3 points. The model has a 1M-token context window, supports text, image, video, and speech input, and is priced at a standard rate of $4/$20 per million input/output tokens

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Indian coffee chain Chai Point reduced its monthly AWS bill from $10,877 to $4,550, a drop of 58.2%, of which about 80% came from an Agentic Cost Audit performed by a senior engineer using Claude Code. The audit examined production and QA cloud accounts in read-only mode, identifying idle and orphaned resources, over-provisioning, and misconfigurations, and ranked them by savings amount, implementation cost, and risk. The remaining roughly 19% came from switching AWS reseller to Isaga for a 5% d

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formats, among which A2UI Express, as the new default format, can reduce latency by up to 3x and cut the tokens needed to generate comparable UIs by up to 3x; when combined with decision models such as Jev for layout decisions, latency reductions can reach up to 80x. Express is now available in the Python agent SDK (a2ui-agent-sdk 0.9.0), the TypeScript SDK (@a2ui/agent), and the Dart SDK (a2ui agent 0.0.1-wip004); developers can switch formats with a single parameter when creating a generator.

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practical guide on how to build an AI voice assistant by chaining speech-to-text, an LLM, and text-to-speech into a real-time pipeline. The guide recommends keeping round-trip responses within 500 ms and pairing this with VAD, while also connecting to internal knowledge bases and business tools, and putting safety measures such as verbal confirmation and handoff to a human agent in place. Developers can build directly with ElevenAPI, or configure and launch on the ElevenAgents managed platform.

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f 1.05 million tokens, a maximum input of 922,000 tokens, and a maximum output of 128,000 tokens. Reasoning effort can be selected from none to max, with medium as the default. On Agents' Last Exam, the medium setting scores 15 points higher than GPT-5.6 Terra while costing about one-third as much; under the max setting, the average speed for completing tasks is more than 3 times that of GPT-6 Astra and GPT-6.1 Sol. The model is already available to Plus, Pro, Enterprise, and Edu users of ChatGP

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the previous generation, and only half that of GPT-6.1 Sol. The company claims its task completion rate on Terminal-Bench 4.0 increased from 21.5% to 50.3%, and it scored 60.0% on Agents' Last Exam, close to Claude Opus 5.5's 63.2%. Artificial Analysis measured an intelligence index of 48 at the highest reasoning tier, lower than GPT-6.1 Sol's 52 and Claude Opus 5.5's 58, but the average cost per task dropped from $1.40 to $0.40. Terra is now available via API, and Plus, Pro, Enterprise, and Edu

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