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Announcement reads
Announcement posts on Yomu, summarised newest first.
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Announcement posts
Unlocking the Power of the TPU Stack: Introducing our new Developer Hub
Google Cloud has launched the TPU Developer Hub, an educational resource for model builders, optimizers, and developers working with TPU infrastructure and its supporting software stack. It organizes guidance across the developer lifecycle, covering pre-training, post-training, and inference, with material on hardware architecture, infrastructure consumption modes, and software capabilities including specialized compiler technology and XLA. Resources also address PyTorch migration and deployment, XProf-based tracing and observability, multi-chip parallelism, Pallas kernels, KV cache offloading, networking, and security for distributed workloads. The hub combines interactive Colabs, open-source code recipes, and deep-dive documentation, with content intended for both manual browsing and AI-assisted development. Its stated purpose is to help users select appropriate TPU infrastructure, diagnose bottlenecks, optimize model performance, and move from concepts toward production through practical, regularly updated guidance.
Enhance Security and Trust: New Session Metadata in Sign in with Google
Sign in with Google now provides verified applications with two OpenID Connect session metadata claims, auth_time and amr, in ID tokens. auth_time records the last successful Google authentication time, distinguishing session freshness from token issuance, while amr is a JSON array identifying authentication methods such as pwd, mfa, hwk, swk, tel, and sms. The claims are available across Android, iOS, and web client and server applications, and can support audit logging, step-up authentication based on session age, and authorization rules requiring stronger methods for sensitive operations. Verified applications request them through the standard OIDC claims parameter without significantly changing an existing Sign in with Google authentication flow.
Databricks announces 2026 global partner awards
Databricks announced its 2026 Partner Awards at Data + AI Summit, recognizing more than 65 achievements across its global partner network of over 8,000 organizations. The awards cover consulting and system integrators, independent software vendors, technical champions, learning and enablement, industry categories, and product-focused contributions. Accenture/Avanade received Global Partner of the Year for an eighth consecutive year, citing more than 15,000 trained practitioners, 9,500+ certified resources, and over 1,000 joint engagements. Other cited results include Capgemini’s Unity Catalog migration of 25,000 tables, 10,000 notebooks, and 2 petabytes across 150+ countries, while Kraken Technologies reduced data-processing costs eightfold and cut load times from three days to eight hours using Databricks and Delta Sharing. The announcement frames the winners’ work as supporting data and AI adoption through software, services, integrations, and consulting.
Announcing New OpenSharing and Marketplace capabilities for the AI era
Databricks announces new OpenSharing and Marketplace capabilities aimed at sharing data, AI assets, and partner applications without moving data. OpenSharing, a Linux Foundation project and evolution of Delta Sharing, adds vendor-neutral sharing for Agent Skills, AI models, unstructured data, Iceberg clients, Lakebase tables and change data feed, plus governed multi-cloud connectivity and agentic sharing through Genie Agent Sharing. The release also introduces identity resolution in Databricks Clean Rooms, where partners such as LiveRamp and Acxiom can work against protected first-party data without seeing raw customer records. Third-party apps are now available through Databricks Marketplace, allowing customers to deploy them in their workspaces without separate infrastructure, while providers gain distribution. Marketplace Commit Drawdown lets customers use existing Databricks universal commits to acquire Marketplace data and AI solutions.
Salesforce signs definitive agreement to acquire Fin
Salesforce has signed a definitive agreement to acquire Fin for approximately $3.6 billion, with closing expected in the fourth quarter of Salesforce’s fiscal year 2027. Fin says it began as Intercom 15 years ago and, nearly four years ago, shifted toward modern LLMs to create and define the Customer Agents category. The companies plan to join forces, with Salesforce’s resources intended to help bring Fin to more consumers, while Fin says little will practically change for customers: the author will remain CEO and Des Traynor will continue running R&D. The announcement also points to recent work including the Apex model and the Operator internal agent, and describes the deal as a pivotal moment for Fin’s employees, founders, and leadership team.
Product updates: VM Sandboxes, Lower latency routing, RBAC, and more
Modal also announced several product updates including VM Sandboxes in alpha, lower latency regional routing, and role-based access control. VM Sandboxes, currently in alpha, are a new VM runtime that runs a real Linux kernel, supporting Docker containers and Linux features like eBPF, systemd, cgroups, and custom filesystem mounts for better I/O performance. Regional routing lets Functions run in US West, EU West, or Asia Pacific South instead of default US East with a single setting, lowering latency and keeping data in-region. RBAC is now available for Team and Enterprise plans, with Environments as security boundaries and read-only defaults via Restricted Environments, tied into Audit Logs. Other updates include domain allowlisting, named images, volume subdirectory mounts, readiness probes, configurable snapshot TTLs with a 30-day default, SDK updates, and a partnership with Anthropic for Claude Managed Agents.
Introducing Omnigent: A Meta-Harness to Combine, Control and Share Your Agents
Omnigent is an open-source meta-harness designed to combine, control, and share agents across different harnesses, models, and interfaces. Databricks says users currently juggle multiple agents and copy context between them, while builders struggle to combine or replace harnesses with incompatible interfaces. Its runner wraps terminal-based agents and SDKs in sandboxed sessions with a uniform API for messages, files, streamed text, and tool calls; a server adds policies, sharing, and access through terminal, web, mobile, native Mac OS, and APIs. Features include live collaboration, hosted sandbox execution, contextual security and cost policies, OS isolation, and multi-harness authoring. Released in alpha under Apache 2.0, Omnigent is intended to provide a durable layer above changing agents and harnesses.
Statement on the US government directive to suspend access to Fable 5 and Mythos 5
Anthropic says the US government issued an export-control directive requiring it to suspend Fable 5 and Mythos 5 access for every foreign national, including foreign-national Anthropic employees, inside or outside the United States. The directive arrived at 5:21 p.m. ET and did not specify the national-security concern; Anthropic says it understands the basis to be a potential narrow, non-universal jailbreak involving a request to inspect a codebase and fix software flaws. The company says it reviewed the underlying report, found only previously known minor vulnerabilities, and judged the demonstrated capability widely available from other models, including OpenAI’s GPT-5.5. Anthropic is complying by disabling both models for all customers and says it is working to restore access.
ClickHouse achieves AWS Retail Competency
ClickHouse has achieved the AWS Retail Competency in the Advanced Data Insights category, a designation recognizing validated technical expertise and demonstrated customer success in retail real-time analytics. Retail workloads described here combine high-volume, high-cardinality, high-concurrency data with hard freshness requirements, including inventory, pricing, personalization, and peak seasonal demand. The post attributes the platform's fit to compressed columnar storage, parallel queries, continuous Kafka and Amazon S3 ingestion through ClickPipes, compute-compute separation, and AWS support for private networking, multi-region deployment, and Marketplace billing. Examples include Mercado Libre's 90-TB-per-day observability ingestion and trace lookups reduced from 15–20 minutes to about two seconds, while other customers report cost, speed, and analyst-efficiency gains.
Forward Deployed Engineering: Delivering Business Outcomes with AI
Databricks is formalizing its Forward Deployed Engineering (FDE) organization to address customers’ shift from migration and data-pipeline requests toward business outcomes with AI. FDE brings Professional Services together around an engineering-led model that embeds engineers with customers, supports modernization and production AI, and works with partners and Databricks R&D. In the cited examples, teams migrated five-plus petabytes of JPMC Consumer and Community Banking Risk data and more than 500 notebooks in four months, while Fox used Lakebase, AI Search, Databricks Apps, and Model Serving to redesign fan experiences. The organization says its engagements use shared OKRs, rapid prototype-to-production delivery, embedded engineering, outcome-aligned commercial options, and global partner coverage, with Fox reporting that Sports AI users spend approximately twice as long in the app.
Welcoming the first cohort of Databricks student fellows
Databricks announces its inaugural Student Fellows cohort, selected from more than 5,000 applications submitted by students at hundreds of universities and from dozens of countries. The program targets students who contribute on campus, apply data and AI in practice, and intend to pursue careers in the field, with fellows acting as bridges between academic theory and the real-world scale of the Databricks platform. Five students are profiled, with experience spanning large-scale AI systems, ETL pipelines, computer vision, machine learning platforms, robotics, data modeling, and local retrieval-augmented generation architectures. During the coming academic year, the cohort will receive training from Databricks experts and hands-on experience solving complex data challenges, while building a launchpad for future internship opportunities. The program invites applications for its next cohort in Fall 2026 and points readers to Databricks Free Edition.
Geospatial Unbounded: Spatial SQL GA with AI/BI Maps, Delta Sharing, and Iceberg v3
Databricks announces Spatial SQL as Generally Available, positioning its platform for geospatial analysis without separate spatial databases, warehouses, and mapping tools. It supports native GEOMETRY columns in Delta or Iceberg, more than 90 OGC-compliant ST_* functions, spatial joins, and boolean set operations. AI/BI dashboards can render Geometry and Geography columns as maps, while Genie can generate spatial queries and dashboards and respect Unity Catalog row filters. Geo columns are supported by Delta Sharing, and Databricks can read and write managed Iceberg tables or read externally written Iceberg tables with geospatial types in Iceberg v3. Benchmarks show eight of twelve SpatialBench queries improved since Public Preview, with gains from 20% to 15X, while areal boolean operations are twice as fast on average versus prior versions.
Azure Databricks at Data + AI Summit 2026 featuring Industry Leaders and Partners
Data + AI Summit 2026 brings Databricks and Microsoft leaders, partners, and customers together June 15–18, with in-person and virtual programming focused on Azure Databricks. The collaboration presents Azure Databricks as a first-party Microsoft offering for unifying data, analytics, and AI on a secure, scalable foundation, with sessions covering ecosystem integration, federated analytics, governance, modernization, and AI applications. One technical example introduces zero-copy federation between Azure Data Manager for Energy and Databricks compute, preserving ADME as the source of truth while avoiding large-scale data copies. Another shows Unity Catalog External Locations extending governed access to Microsoft OneLake without ETL pipelines, while customer sessions describe Apache Iceberg and Apache Spark integration, fragmented data consolidation, and production-grade finance workflows using Azure Document Intelligence.
Introducing Postgres to Postgres ClickPipes in ClickHouse Cloud
Postgres-to-Postgres migrations between providers can require manual schema handling, data movement, CDC, and cutover coordination, with risks around database objects and long-running loads. Postgres to Postgres ClickPipes, now in public beta, provides a fully managed migration service in ClickHouse Cloud designed to reduce operational overhead and support minimal downtime. It automates schema dump and restore, including secure connections, role conflicts, version differences, transactional application, retries, and UI or notification-based error reporting, while PeerDB supplies parallel initial loads and CDC capabilities. Independent pull and push processes use retries and alerting for transient errors, and the roadmap includes features to assist with cutover into Postgres by ClickHouse.
Empower your healthcare agents with ready-to-use MCP on Databricks Marketplace
Databricks announces ready-to-use Model Context Protocol (MCP) servers for healthcare and life sciences through Databricks Marketplace, addressing the need to combine curated biomedical knowledge, timely data, specialized tools, and private records. Listings include services for drug and target intelligence, literature, clinical trials, FDA information, Medicare coverage, ontologies, real-world evidence, clinical semantics, and interoperability, while Climb connects live public sources with private Gold-layer data under Unity Catalog governance. Marketplace and custom MCP servers are centralized in the MCP Catalog and governed by Unity AI Gateway, with Genie Spaces, AI Search, Unity Catalog functions, and SQL Warehouses available as managed MCP servers. Users can assemble agents in AI Playground, Agent Bricks, or notebooks, then deploy endpoints or apps with MLflow tracing, evaluation, human feedback, and AI guardrails; examples span molecular-property lookup, clinical questions, and drug research.
Governing agent autonomy with Auto-review
Auto-review governs local agent autonomy as a continuum, allowing routine work to proceed while reviewing actions whose consequences depend on context, user intent, and security stakes. A small classifier agent runs before tool calls in the same RPC stream as the parent agent, and can inspect workspace contents with ReadFile, Grep, Glob, and ListDir when a command alone is insufficient. Its blocks return explanations rather than automatically prompting users, enabling the parent agent to narrow or replace a risky action. Evaluation used 6,122 deduplicated labeled rows from internal developer sessions plus synthetic high-consequence cases, and tested tool use, overrides, parse failures, and behavioral flapping. Early results show the classifier blocks around 4% of reviewed actions, while about 7% of Auto-review chats experience at least one interruption.
Catch visual regressions with Snapshots, now in beta
Sentry has released the beta version of Sentry Snapshots to catch visual regressions on pull requests across any platform with a frontend. The tool captures screenshots of an application across various viewports, themes, and languages, compares them against a baseline, and blocks pull requests when diffs are detected. Teams can attach custom context metadata, including test file paths, to help developers and AI agents locate test sources and generate additional test cases. By leveraging the sentry-mcp integration, REST API, and sentry-cli, workflows can retrieve base images, diff masks, and run local diff verification before pushing commits. Originally created at Emerge Tools for mobile applications, this iteration expands automated visual testing capabilities to broader frontend codebases.
Introducing Boost+
Boost+ is an updated promotion for delivery drivers that adds pay to eligible trips during periods and locations of high demand. The promotion applies automatically when a trip’s pickup is in a designated blue zone during listed hours, and the extra amount appears in the fare shown on the trip request. Its calculation uses estimated active time—from accepting the trip through delivery—rather than time spent online waiting; for example, a 30-minute trip at $10 per active hour receives $5 in Boost+ pay. Drivers can find upcoming opportunities in the Discover tab and on the map, view total Boost+ earnings in the trip receipt, and combine the promotion with Quests and other promotions. Availability varies by city, and time beyond the estimated active time does not qualify for Boost+ pay.
AWS and Databricks at Data + AI Summit 2026: Accelerating real-world AI innovation
AWS and Databricks describe their expanded collaboration at Data + AI Summit 2026, where AWS returns as a Legend Sponsor with sessions, demos, customer stories, and industry forums. The partnership centers on generative AI adoption, unified governance, and open data architectures, including an agentic stack that combines Amazon Bedrock, Bedrock AgentCore, Kiro, and the Databricks Data + AI Platform. A featured integration uses a governed MCP connection through Databricks Apps so AgentCore can query Unity Catalog-governed data, ask AI/BI Genie questions, and read low-latency state from Lakebase while honoring existing permissions. AWS will demonstrate these workflows at Booth #100 and present a session on federating Unity Catalog to AWS Glue, alongside customer examples including Mastercard, Talkdesk, nCino, Addepar, and Workday. Attendees can also join technical conversations, receptions, and a 14-day Databricks on AWS Marketplace trial with $400 in usage credits.
Announcing the Public Preview of Custom URLs
Databricks has announced the public preview of Custom URLs, giving each account a single branded domain that serves its workspaces. Previously, workspace-specific URLs made navigation, sharing, bookmarking, and account-wide features more cumbersome, while users had to log in repeatedly when switching workspaces. Custom URLs use a shared account session to verify access and create workspace sessions seamlessly, while preserving authorization boundaries and keeping existing per-workspace URLs functional. The feature provides a unified Genie entry point, cross-workspace Unity Catalog lineage, and an account-level URL that remains stable during disaster-recovery failover, including for downstream tools using existing connection strings. Activation requires Unified Login; Frontend Private Link workspaces fall back to per-workspace URLs, and account admins can claim a URL, enable it, and optionally turn on automatic redirects.
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