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Announcement reads
Announcement posts on Yomu, summarised newest first.
- 1,477 posts
- 20 companies
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Announcement posts
Introducing the Google Colab CLI
Google announces the Google Colab Command-Line Interface (CLI), a tool that connects a local terminal with remote Colab runtimes for developers and AI agents. It can provision GPUs or TPUs with commands such as colab --gpu A100, execute local Python scripts and ML pipelines remotely with colab exec, recover artifacts and replayable .ipynb logs, and provide interactive access through colab repl or colab console. The source demonstrates an agent-driven QLoRA fine-tuning workflow for google/gemma-3-1b-it on a Text-to-SQL dataset: an Antigravity agent provisions a T4, installs transformers, datasets, peft, trl, bitsandbytes, and accelerate, runs finetune_run.py, saves a notebook log, downloads model artifacts, and stops the runtime. The resulting safetensors adapter and configuration files can be loaded locally, while the CLI is presented as programmable and usable by terminal-based agents.
The One Where I Found My Way to DevRel
The author recounts a career path from creative interests and technical writing to developer relations, emphasizing that storytelling remained central while the audience changed. She began by producing API documentation, user guides, onboarding content, and other developer resources, then joined JDoodle, where conversations with developers shifted her focus from writing for them to connecting with them. Attending events and conferences, giving product demos, staffing booths, participating in community conversations, organizing hackathons, and running internal events helped her discover that developer advocacy matched her strengths in empathy, clear storytelling, and helping people succeed. She now announces a new role at Okta, where she will work with developers, creators, builders, and community members in identity and security while creating content, attending events, learning, and building connections.
Direct agents with visual prompts in Design Mode
Design Mode updates Cursor’s browser-based agent workflow for spatial UI work, letting users edit a product in context rather than relying on chat descriptions alone. Users can select one or more elements, draw on a frozen viewport frame, or narrate instructions by voice; references can express relationships such as matching components or changing a group together. Element selection supplies identity signals including XPath, component, attributes, computed styles, and fiber-tree props, alongside a screenshot capturing layout and page state. Users can queue edits while earlier ones run, manage multiple subagents, and see results through hot reloads, with Composer 2.5 described as suited to fast, targeted interface changes. The update is presented as a way to tighten the noticing-to-editing loop while preserving control and precision during UI iteration.
Nemotron 3.5 Content Safety: Customizable Multimodal Safety for Global Enterprise AI
Nemotron 3.5 Content Safety is NVIDIA’s 4B-parameter model for evaluating user prompts, optional images, and optional assistant responses together, with multilingual coverage and enterprise-specific policy enforcement. It extends Nemotron 3 by accepting natural-language custom policies, producing optional auditable reasoning traces, and supporting binary verdicts, category-labelled verdicts, or THINK mode; disabling THINK preserves the default low-latency path. Built on Google Gemma 3 4B IT with a LoRA adapter and a 128K context window, it uses the Aegis 2.0 taxonomy of 13 core categories and 10 subcategories, and targets deployment on GPUs with 8GB or more of VRAM. The accompanying multimodal, multilingual dataset includes concise reasoning traces, while reported results average 96.5% on Multilingual Aegis, 88.8% on RTP-LX, and about 85% across the evaluated benchmark set.
Your guide to the Telecommunications Industry Experience at Data and AI Summit 2026
Data + AI Summit 2026 presents a Telecommunications Industry Experience for operators responding to surging network traffic, regulatory pressure, cybersecurity threats, competition, and customer churn. The event, scheduled for June 15–18 in San Francisco, positions unified data and AI, governed workflows, and production use cases as the basis for operationalized, AI-native telecom models. Its June 17 Telecommunications Industry Forum features keynotes, presentations, and executive panels on customer experience, autonomous network operations, fraud prevention, secure agent deployment, and the return from modernizing legacy data warehouses. Breakout sessions cover automated metadata generation for Genie, conversational AI/BI, Lakeflow pipelines with Agent Bricks, and data exfiltration protection with egress monitoring. The industry lounge will demonstrate Model as a Service and agentic real-time decisioning, while the agenda emphasizes peer examples and architectural blueprints for scaling AI under telecom governance and compliance.
Playing a different game
Fin Voice 2 is presented as a customer-service voice agent designed to address the latency, complexity, and reliability demands of phone support. Built on Apex Flash, described as a model trained on millions of customer experience interactions and tuned for low-latency channels, it separates real-time speech processing from the answer-generation layer rather than routing speech through a general text workflow. The product is claimed to deliver faster, more natural conversations, higher resolution rates, and higher customer satisfaction, though the post does not provide measurements. It can reportedly handle identity verification, refunds, appointments, emotional-state changes, confirmations, external-system actions, proactive follow-up calls, and contextual handoffs to human agents. Fin Voice 2 also adds configuration and management features, including call-quality and behavior insights, topic analysis, one-click recommendations, and self-service controls.
3x Faster Search: Parallel Test-Time Scaling with Instructed-Retriever-1
Instructed-Retriever-1 is introduced as the retrieval-specialized model behind an update to Agent Bricks Knowledge Assistant, targeting search quality and latency. It parallelizes query and filter generation for broader candidate recall, then applies multi-pivot groupwise reranking to improve precision, using one model for both retrieval stages. The model was trained on synthetic enterprise-style environments and evaluated on realistic Knowledge Assistant workloads, where it scored 81.0 nDCG@10 for reranking and matched Claude Sonnet 4.5 retrieval quality on KARLBench. Serving uses a Mixture-of-Experts architecture, FP8 quantization, speculative decoding, and infrastructure tuning; the update reports more than 3x faster search, 2x faster answer generation, and TTFT around two seconds. End-to-end latency was consistently below 10 seconds in the offline evaluation setup.
Multigres v0.1 Alpha: an operating system for Postgres
Multigres v0.1 alpha is an open-source release of a system intended to provide Vitess-grade horizontal scaling, high availability, and operational simplicity for Postgres. It manages Postgres instances with sharding, connection pooling, automatic failover, and backup orchestration, while this release adds advanced pooling, automatic failovers, and a Kubernetes operator. Its high-availability protocol builds on unmodified Postgres replication, supports user-defined durability policies, resolves split-brain scenarios without losing succeeded commits, and permits replica changes while running. The release is suitable for experimentation but not production workloads: v0.1 is single-shard, sharding is absent, the custom-resource API may change, backward compatibility is not guaranteed, and performance benchmarks are still in progress.
Supabase Series F
Supabase has raised a $500M Series F at a $10B pre-money valuation, led by GIC. Existing investors participated, Stripe invested again, and Georgian and Salesforce Ventures joined as new investors; the funding will accelerate open-source and Postgres tooling, support growth, and provide employee liquidity. Supabase is also releasing Multigres v0.1 alpha, an open-source, self-hostable scalable operating system for Postgres designed to provide high availability and operational simplicity; a future release is intended to add Vitess-grade horizontal scaling. The alpha is ready to try but not production-ready, with production-readiness expected in a few months. Over the past year, database launches grew 600%, more than 60% of new databases came from AI tools, and nearly 10 million developers built on Supabase.
Custom stores, custom tools, and auto-review for the Cursor SDK
The Cursor SDK’s TypeScript and Python releases add custom tools, auto-review, and nested subagents. Custom tools let developers pass function definitions through local.customTools, exposed via a built-in MCP server, making them available to all subagents. Auto-review routes local agent tool calls through a classifier; instructions in permissions.json control which calls run automatically and which are held for review. The SDK now supports a JSONL store for agent metadata as an alternative to SQLite, and developers can implement the LocalAgentStore interface for custom backends. Subagents can spawn their own subagents without additional configuration, and the release includes reliability and platform fixes.
Canvas Design Mode and Context Usage Report
Cursor’s canvas release adds Design Mode, enabling users to select and annotate UI elements directly while guiding edits. The update also turns agent context usage into an interactive canvas report, breaking token consumption across the system prompt, tool definitions, rules, skills, and more. Because the report is interactive, users can ask follow-up questions, customize its answers, or use an embedded Debug with Agent button to seek opportunities to reduce context usage in a new conversation. Other changes include full-screen browser access for shared canvases, prompt-triggering buttons, improved handling of canvas type errors, better component styling, and more chart customization options.
Welcoming Kelsey Mills, our new Operations Generalist
Kelsey Mills is joining Resend as an Operations Generalist based in Vancouver, Washington, with responsibility for the logistics behind upcoming offsites, meetups, and conferences. She describes operations as work that suits her organizational instincts: managing many moving parts, absorbing new information, balancing tasks, and refining processes for greater efficiency. Mills says Resend’s attention to detail, care of craft, culture, and community attracted her during a period of growth and scalability. Outside work, she mentions a Michigan sunset as her home-screen image, Hawaii as a favorite destination, the Notes app as a reliable tool, and Ctrl + Cmd + Spacebar as her favorite hotkey; her advice to ambitious operations generalists is to value their work, keep raising their hands, and say yes to opportunities.
Click-a-thon 2026: 24 hours, Bengaluru, and the fastest analytical database on the planet
ClickHouse announces Click-a-thon 2026, its first in-person hackathon in India, scheduled for Bengaluru on August 1–2, 2026. The event invites working tech professionals to form teams of two to four for a 24-hour build with four tracks—Real-Time Analytics, Observability, Data Warehousing, and Agentic AI and Analytics—and a ₹10,00,000 prize pool. Its stated purpose is to bring developers together to build practical systems under tight constraints and experiment with ClickHouse alongside modern open-source tools. The post points to ClickStack for observability, Langfuse for LLM tracing and evaluation, and LibreChat for model and agent interfaces, while describing combinations such as streaming ingestion, materialized views, projections, analytical queries, and tool-using agents over data. Applications close June 25, with shortlists planned for the first week of July; the team captain applies on behalf of the team.
Introducing the Services Track and Partner Hub of the Claude Partner Network
Anthropic announces the Services Track and Claude Partner Hub to make its partner ecosystem easier for enterprise customers to evaluate firms that can put Claude into production. The Services Track has Select, Preferred, and Global Premier tiers, measured by certified practitioners, production deployments, public customer stories, and for Global Premier, a joint business plan with named executive sponsors. Requirements include at least 10, 100, or 1,000 active certified individuals, alongside tier-specific deployment and endorsement thresholds, with a single bar for firms of all sizes. The Hub provides daily refreshed standing dashboards, a public directory showing each firm's tier and evidence, and an MCP connector that lets partners query partnership information through Claude. Promotions occur twice yearly, with an additional 2026 review, while downgrades are limited to the annual review after notice and an opportunity to close gaps.
Introducing organizations for Cursor Enterprise
Cursor is introducing organizations, a top-level structure that lets Enterprise customers manage multiple teams, budgets, security policies, governance, and feature controls from one dashboard. Organizations contain teams for departments or subsidiaries and groups for user cohorts; separate configurations can govern model access, spending, agent permissions, and network access, while the most permissive setting applies when users belong to multiple teams or groups. The organization dashboard aggregates spend and token usage across teams and supports filtering by team, user, service account, or cloud agent, while identity-provider and SCIM setup is centralized and membership can be managed through the dashboard, API, or CSV. Generally available to all Enterprise customers, the structure supports sandbox teams for testing features, scoped administration and chargebacks, and differentiated controls across functions; Cursor says policy controls, onboarding, and SCIM-driven assignment are still being expanded.
Organizations for Cursor Enterprise
Cursor has made Organizations generally available to Enterprise customers, enabling them to manage multiple teams from one place. An organization is the top-level container for company identity, administration, membership, and rollups of spend and token usage across teams. Teams remain the operating units for departments, regions, or subsidiaries, but now sit under an organization and can have distinct security, governance, spend, and feature settings. Groups provide lightweight user cohorts across or within teams, with separate model access, spend limits, and agent permissions. A user may belong to multiple teams or groups, and the most permissive setting wins; existing customers retain their current team as the default home for login, routing, and new team creation.
3,000,000 users
Resend reports reaching 3,000,000 users six months after reaching 1 million, while its team grew from 25 to 43 members and weekly npm downloads increased from 1.4M to 6.8M. The company says it has been profitable since last year without reducing cloud or Datadog spending or slowing hiring, treating profitability as flexibility for product decisions rather than the goal. Its support model gives AI agents the product’s tools for routine questions while keeping engineer support available when answers are not found. For developers and agents, Resend has made every page render as Markdown, expanded MCP coverage from about 8% to about 90%, shipped a 53-command CLI, and planned remote MCP and OAuth, while positioning Automations alongside sending, receiving, and broadcasting in one email platform.
Bringing Gemma 4 12B to your Laptop: Unlocking Local, Agentic Workflows with Google AI Edge
Google DeepMind’s Gemma 4 12B is presented as an open model for running agentic, multimodal capabilities locally on everyday laptops through the Google AI Edge stack. The release covers Google AI Edge Gallery for local data analysis and coding, including Python generation, execution, chart rendering, and a reported 3D rendering workflow that can generate dependencies, code, and self-corrections in one turn. Google AI Edge Eloquent adds fully on-device dictation, transcription, and Voice Edit commands for rewriting or translating selected text, while LiteRT-LM’s new serve command exposes the model through a local, OpenAI-compatible endpoint for tools and frameworks. The post says Gemma 4 12B delivers a 60%+ overall quality improvement over prior models for Eloquent’s use case and keeps data on-device, with performance and memory benchmarks provided in the model card.
Gemma 4 12B: The Developer Guide
Gemma 4 12B is a dense multimodal model with a unified, encoder-free architecture, native audio input, and a size intended for local execution on dedicated GPU laptops with 16GB VRAM or unified memory. Instead of separate vision and audio encoders, it uses a 35M-parameter vision embedder that projects raw 48x48 patches and a linear projection for raw 16 kHz audio sliced into 40ms frames; both feed a decoder-only transformer with shared weights. That design reduces multimodal latency and fragmented memory footprints, while allowing downstream adapters such as LoRA or full tuning to update the multimodal token loop in one pass. Capabilities include automatic speech recognition, agentic reasoning, diarization, video understanding, and coding, with examples covering a locally built image-processing app and five minutes of video processed at 1 FPS with audio; LiteRT-LM adds offline macOS apps, sandboxed Python execution, and an OpenAI-compatible local API server with stateless prefix caching.
Adding MCP Tools to Reachy Mini
Reachy Mini’s conversation app can now call tools hosted in public Hugging Face Spaces through MCP, allowing capabilities such as weather checks and web search to be added without editing the app or downloading tool code locally. The app retains built-in robot tools and custom local tools, while profiles use tools.txt to control which tools the model may call. The tool-spaces command validates a Space, probes its MCP endpoint, discovers tool IDs, and can append them to a selected profile; remote names are namespaced to avoid collisions. The feature supports public MCP-compatible Gradio Spaces, multiple Spaces, and backend-agnostic registration, but not private or authenticated Spaces, non-Gradio Spaces, arbitrary MCP URLs, or guaranteed parallel orchestration.
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