“Sundar Pichai announced that the Pixel 11 lineup is here, designed for Gemini Intelligence.”

#4 𝕏 Sundar Pichai announced that the Pixel 11 lineup is here, designed for Gemini Intelligence. New features include Rambler for natural voice input, Magic Capture for effortless photos, and HiLight, which subtly glows for important calls when the phone is face down.

“"#16 𝕏 Sundar Pichai announced that 1B+ people use the Gemini app every month, describing it as “our fastest growing product ever” and the 14th product to reach the 1B-user mark."”

#15 𝕏 Josh Woodward announced that 63% of users now talk directly to Gemini, with more using voice only, while busy parents are 43% more likely to use voice for everyday tasks. He added that 60+ new regional dialects are expected to roll out soon, though no date was provided. #16 𝕏 Sundar Pichai announced that 1B+ people use the Gemini app every month, describing it as “our fastest growing product ever” and the 14th product to reach the 1B-user mark. He credited @JoshWoodward and the Gemini team. Also covered by: @Logan Kilpatrick , @Demis Hassabis

“Koray, a 13-year Google DeepMind veteran, will become SVP overseeing model development, research, and the Gemini app and developer teams.”

#12 𝕏 Sundar Pichai announced leadership changes at Google DeepMind: Demis Hassabis will become Chair and Alphabet’s Chief Scientist while continuing to lead Isomorphic Labs, focusing on AGI and scientific discovery. Koray, a 13-year Google DeepMind veteran, will become SVP overseeing model development, research, and the Gemini app and developer teams. Also covered by: @Demis Hassabis

“#1 𝕏 Alexandr Wang shows that Muse Spark 1.1 outperforms Opus, Grok 4.5, and Gemini on a new challenging finite model theory/theoretical CS benchmark, underlining its advanced reasoning capabilities.”

How Anthropic limits AI agent blast radius #1 𝕏 Alexandr Wang shows that Muse Spark 1.1 outperforms Opus, Grok 4.5, and Gemini on a new challenging finite model theory/theoretical CS benchmark, underlining its advanced reasoning capabilities. #2 📝 Anthropic Engineering How we contain Claude across products - Anthropic engineers describe techniques for limiting the potential blast radius of increasingly capable agents by building containment across claude.ai, Claude Code, and Cowork. The article shares learnings and engineering approaches used to keep product integrations safe and reliable. #3 ▶️ The Correct Way to Build and Manage AI Agents in 47 Minutes | Jared Zoneraich Peter Yang Devon orchestrates a master AI agent to launch ten cloud-based child agents in parallel, each running in its own VM to redesign a landing page and perform automated integration tests via Devon’s Test App feature. Master Devon session spawned 10 child Devons in parallel, each running in its own VM to clone the codebase, apply redesign changes on a new Git branch, and open a pull request. Devon’s Test App feature ran integration tests in a live browser VM by programmatically clicking specified UI elements on the updated landing page to verify link functionality. A single Devon agent maintained a continuous 9-hour run on Cognition’s cloud platform without human supervision, showcasing extended asynchronous execution.

“Josh Woodward thanked over 1,400 replies in just 12 hours and shared a stack-ranked Top 10 list of community feedback to improve Gemini.”

This item is a brief note about community engagement and product improvement for Gemini.

“#9 𝕏 Logan Kilpatrick highlights that builder Ammaar constantly tests every model and just ported a childhood game using Gemini, showcasing frontier capabilities and setting a benchmark for upcoming Gemini versions.”

#9 𝕏 Logan Kilpatrick highlights that builder Ammaar constantly tests every model and just ported a childhood game using Gemini, showcasing frontier capabilities and setting a benchmark for upcoming Gemini versions.

“Helena Liu Uses NotebookLM 2.0 running on Google’s Gemini model to upload seven messy spreadsheets and automatically generate charts, slide decks, and detailed business analyses in minutes. NotebookLM 2.0 (on Gemini) ingested seven spreadsheets—including a 540-ticket support log, Stripe transactions, P&L data, Meta ads metrics, competitor reviews, marketing tracker, and email subscriber list—in under a minute.”

▶️ NotebookLM 2.0 Update: Analyze Your Entire Business in Minutes! (Full Tutorial) Helena Liu Uses NotebookLM 2.0 running on Google’s Gemini model to upload seven messy spreadsheets and automatically generate charts, slide decks, and detailed business analyses in minutes. NotebookLM 2.0 (on Gemini) ingested seven spreadsheets—including a 540-ticket support log, Stripe transactions, P&L data, Meta ads metrics, competitor reviews, marketing tracker, and email subscriber list—in under a minute. Generated a one-page monthly P&L PowerPoint slide deck showing revenue growth from $0 to over $60,000, break-even in November 2025, and a 40% net margin in Q2 2026 within seconds. Ranked six Meta ad campaigns by ROAS, identifying the free recipe PDF campaign at 8.02 ROAS on $4,700 spend versus the brand awareness reels view campaign at 0.03 ROAS on $27,000 spend.

“Generated workout videos by prompting Gemini’s Nano Banana model with precise positional instructions, filming exercises on iPhone, then merging images and footage via Higgsfield’s Cling 3.0 motion control model (≈5 minutes per render).”

#5 ▶️ She vibe coded an iPhone app and launched it to the App Store with zero coding knowledge How I AI Podcast Bryce Rattner Keithley built and shipped “Daily Hundred,” an iPhone fitness app with AI-generated anthropomorphic animal exercise videos, using Replit, Claude, Gemini, and Higgsfield without writing code.

“PromptLayer Blog How to Build a Gemini Agent Flow - Start with a narrow task and a written flow contract specifying inputs (user message, account ID, authenticated user ID, locale), allowed tools (getInvoice, getPaymentStatus, createSupportTicket), disallowed actions, final output, and escalation rules (escalate if account lookup fails, payment data conflicts, or confidence is low).”

#24 📝 PromptLayer Blog How to Build a Gemini Agent Flow - Start with a narrow task and a written flow contract specifying inputs (user message, account ID, authenticated user ID, locale), allowed tools (getInvoice, getPaymentStatus, createSupportTicket), disallowed actions, final output, and escalation rules (escalate if account lookup fails, payment data conflicts, or confidence is low). Implement an agent controller that enforces strict tool schemas and argument validation, maintains a structured backend state, and enforces stop conditions (e.g., max 5 tool calls, 6 model calls, 20s wall-clock) while logging full traces, tool calls, errors, latency, and prompt versions.

“SEO is dead. ChatGPT, Gemini, and Perplexity give one answer naming three brands — and those brands are shaped by Reddit, the #1 source LLMs trust.”

AI Visibility People ask ChatGPT about your category. AI names a few brands. Is yours one of them? SEO is dead. ChatGPT, Gemini, and Perplexity give one answer naming three brands — and those brands are shaped by Reddit, the #1 source LLMs trust.