Google Gemini Launches In-Chat File Creation

#1 𝕏

Sundar Pichai rolled out a new @GeminiApp feature that lets you generate and download Docs, Sheets, Slides, PDFs and more directly in chat—no copying, pasting, or reformatting required, now available globally.

#2 𝕏

Josh Woodward demos Gemini’s new file-generation and export capabilities, showing how it can auto-create and export Docs, Sheets, Slides, and Markdown files in a video walkthrough.

#3 𝕏

Jeff Dean announced that Google Search’s translations are now powered by Gemini LLMs, boosting quality by up to 50% in low-resource languages (20% on average), cutting latency, and adding context-aware idiom handling, on-device support, side-by-side views, and a Cloud API for...

#4 𝕏

Sundar Pichai reports Q1 2026 results showing AI-driven search queries at all-time highs, Google Cloud revenue up 63%, and a record quarter for consumer AI subscriptions via the Gemini App.

#5 𝕏

Anthropic launched BioMysteryBench, a benchmark of 99 real-world bioinformatics tasks that Claude tackled—and solved most of—to evaluate LLM performance on actual biological data.

#6 𝕏

Anthropic introduced “introspection adapters,” a new tool that lets language models self-report their behaviors and internal states to improve how we monitor and steer them in the wild.

#7 𝕏

Qwen introduced FlashQLA, a TileLang-based high-performance linear attention kernel delivering 2–3× forward and 2× backward speedups for agentic AI on personal devices.

#8 𝕏

Kevin Yien announced Stripe Console, an AI-powered agent that analyzes your business, uncovers growth strategies, and even runs experiments—like testing new payment methods to boost conversion. New capabilities roll out weekly; join the waitlist now.

#9 𝕏

Santiago built an 8-step agentic coding TDD workflow in Claude Code, demonstrating how AI agents can rigorously enforce test-driven development by automating requirement planning, test creation, code generation, and review.

#10 𝕏

Philipp Schmid published a developer getting-started guide on building and running Deep Research workflows with the Gemini API, covering API setup, workflow construction, and executing deep research queries.

#11 𝕏

Cursor launched the Cursor SDK, letting PM Builders spin up agents with the same runtime, harness, and models that power Cursor. These agents can run in CI/CD pipelines, power end-to-end automations, or be embedded directly into products.

#12 𝕏

Harrison Chase walks through building and deploying a simple agent using DeepAgents deploy, inviting PM Builders to try it out (full docs at https://docs.langchain.com/oss/python/deepagents/deploy).

#13 𝕏

Cursor open-sourced a suite of starter projects—a coding agent CLI, a rapid prototyping tool, and an agent-powered Kanban board. All are available in the Cursor Cookbook GitHub repo for easy customization.

#14 𝕏

LlamaIndex 🦙 rebuilt the LlamaParse MCP server for seamless document processing—parse to clean markdown, classify files, split long docs, and upload via URL or browser from any MCP-compatible client.

#15 𝕏

Santiago demos the MCPC CLI tool (github.com/apify/mcpc). He also shares Apify’s x402 integration docs for configuring AI agents to pay for data via the x402 protocol.

#16 𝕏

OpenAI demonstrates using Codex to analyze data exports, automatically flag what changed, and help draft the readout. Includes a video walkthrough.

#17 ▶️

Become an AI power user 🌟 new course from Andrew Ng

Deeplearning.ai

#18 𝕏

Jason Zhou reveals three lesser-known Claude Code setup tricks—beyond the usual `npm install`—including the discovery and use of the hidden `.claude/rules/` directory.

#19 𝕏

Harrison Chase predicts that by 2026 closed-model costs will be prohibitively high and he’s optimizing deepagents for peak performance on OSS models.

#20 in

Peter Yang showcases five new Google Labs AI products—Pomelli for marketing, Stitch for design, Genie for 3D worlds, Flow for video creation, and NotebookLM for research synthesis. He walks through their capabilities in a concise 16-minute demo video.

#21 𝕏

DeepLearning.AI spotlights AMD’s Anush Elangovan at AI Dev 26 revealing how engineers are shifting from writing code to steering intent with agentic AI to accelerate product development.

#22 𝕏

DeepLearning.AI reports that at AI Dev 26, Carter Rabasa from Box unveiled how using file systems as a foundational memory layer lets AI agents persist, recall, and reason over information across sessions.

#23 𝕏

Marily Nika argues that the next era of work isn’t about learning every new AI tool but mastering your AI agents—giving them clear context, refining them with feedback, and resetting them when they stop delivering.

#24 𝕏

Google Research launched Empirical Research Assistance last fall and scientists are now using it in epidemiology, cosmology, atmospheric monitoring, and neuroscience. Early applications demonstrate AI’s potential to accelerate scientific discoveries.

#25 in

Greg Isenberg sat down with Airtable CEO Howie Liu ($500M+ revenue, $1B+ cash), who says AI agents could unlock tens of trillions—essentially the entire white-collar GDP.