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Turn Google Sheets into a Fully Interactive, Differential ACID Mutation Console for Apache Iceberg without Reverse ETL SaaS or Cloud Servers. Hero Infographic: Interactive Bidirectional Lakehouse Writeback via Google Sheets & Apache Iceberg. Enables business operators to query filtered records from an open Apache Iceberg table on Google Cloud Storage, visually edit values, add new rows, or purge obsolete records directly within a Google Sheets grid with an embedded dark-themed console, and commit atomic, microsecond-tolerant ACID mutations back to Parquet storage via BigQuery without Reverse ETL SaaS or persistent servers. Structural Analysis of the Hero Infographic: The hero infographic illustrates the complete, self-contained operational loop connecting frontline spreadsheet agility with immutable open lakehouse storage across three interconnected stages: 1. Predicate Query (Apache Iceberg Open Lakehouse on GCS) : The left section shows the enterprise analytical foundation hosted on Google Cloud Storage, where Apache Iceberg manages immutable Parquet data files, hierarchical Avro metadata, and commit snapshots. When a user requests high-value records, BigQuery acts as an on-demand distributed compute accelerator, executing SQL queries with predicate pushdown (e.g., SELECT * WHERE price > 1000 ORDER BY id ASC ) to fetch precise subsets in sub-seconds. 2. Frontline Editing in Google Sheets (Intuitive Operational Experience) : The central section features a modern, user-friendly Google Sheets grid docked with the sleek dark-themed Iceberg Lakehouse Console sidebar. A business user effortlessly modifies data on the grid with immediate visual feedback: modifying existing values (e.g., updating price from 1500 to 123 ), appending new rows with unique primary keys ( + ADD (New Row id:121) ), and deleting obsolete rows ( 🗑️ DELETE (Removed id:104) ). Native cell validation guarantees data cleanliness, while a Privacy Mode toggle ( [🔒 Privacy: ON] ) automatically masks sen

Chromebooks are great devices, but they might not be able to do everything a Windows or Mac device can. Consider carefully before using one daily.

GM's lineup is dropping Apple CarPlay and Android Auto in favor of its own infotainment systems. But one model is keeping the phone-mirroring capabilities.

There are many reasons why you'd want to download a YouTube video, but doing so comes with a bevy of questions about the legality of the available methods.

Millions rely on Android Auto every day for navigation, music and messaging, but one of the common issues is apps vanishing from the platform without warning.

The Google Store has some of the best trade-in values for a new Pixel, whether you're turning in a Pixel, iPhone, or Galaxy device.

This is a submission for Weekend Challenge: Generosity Edition What I Built The money exists. A small NGO just cannot find it. That is what a generosity problem looks like at the small end. The giving has already happened — foundations with open, rolling, unclaimed programmes, sitting there — and it is spread across a few thousand pages nobody has time to read. After the 2025–26 collapse of USAID funding, organisations that had one funder now need six, and the people doing that searching are the same people running the programme: a director who is also the grant writer, working evenings. Generosity is not the scarce thing here. Attention is. So an AI grant finder is an obvious idea. It is also a dangerous one, because the failure mode is not "unhelpful." A three-person NGO that spends a week writing an application against a deadline that never existed has lost a week it cannot get back, and it will not find out until it submits. The tool would have taken the one thing that was actually scarce. FundFinderAI is the response, in one sentence: it searches the live web for currently open grants that fit your NGO, and then it refuses to trust its own model about any of them. Every application URL Gemini produces is independently fetched before you see it, and the card tells you what happened when we tried. The interesting part is not that it searches. It is everything the app does to establish that the search actually happened and that the result actually exists. Demo Live: fundfinder-ai.vercel.app — describe an NGO, get grants, open a drafted Letter of Inquiry. Give it 30–120 seconds. It is running ten to thirty real Google searches and then fetching every URL that comes back, and the page shows you the clock while it does. Paste this in if you would rather not invent an NGO: NGO name: Kisumu STEM Girls Collective Location: Kisumu, Kenya Mission: We run after-school robotics and coding clubs for girls aged 12-17 in Kisumu, Kenya, and train their teachers to keep the club

Wireless Android Auto delivers on the promise of making your life easier most of the time, but ditching the cable can come with a number of tradeoffs.

This is a submission for Weekend Challenge: Generosity Edition What I Built Handover takes a plain description of what is going wrong inside a small charity and works out the role that would fix it. Not the role they asked for. The one they actually need. You type something like "our books are a mess, and we have missed two filing deadlines". It comes back with a full trustee role: the diagnosis, what the person would do, a deliberately short list of essential skills, an honest time commitment, and an advert you can paste straight into your newsletter. Then a volunteer pastes their CV, badly, and gets scored against every open role with a reason and an honest note on where the fit is thin. Why A couple of days ago I got an email saying Reach Volunteering is closing after 45 years. It genuinely hurt to read. Reach connected small UK charities with people who wanted to give them professional skills. Last year it placed 5,996 volunteers and trustees across 2,440 organisations. The people it placed contributed around £60 million in expertise. Ninety-six per cent of those organisations ran on under £1 million a year, and nearly half on under £50,000. It is not closing because the work stopped mattering. It is closing because funding for the infrastructure that helps small charities build capacity has dried up. Reach was the largest single source of trustees in the sector, and it is shutting at the peak of its impact. I volunteer as a digital navigator, which mostly means sitting with people who have been handed a system that assumes a confidence nobody ever gave them. You watch someone decide they are the problem, when the thing in front of them was just badly built. Reach existed to stop small charities from feeling like that about their own gaps, and now it is shutting down. I cannot rebuild 45 years of relationships in a weekend. So I picked the one piece of what Reach did that was pure expertise rather than headcount, and rebuilt that. The thing everyone gets wrong E

Samsung's Z Fold series has improved the foldable phone form factor over time, but there remains an issue that the rumored iPhone Ultra may not remedy.

This is a submission for Weekend Challenge: Generosity Edition What I Built A donation ledger for a group too small to buy software. It is a Google Sheet, some Apps Script, and one public page a donor can open. The group I had in mind is the kind that exists on every street: a neighbourhood fund, a school parents' group, a committee that collects for winter coats. Money arrives over WhatsApp and leaves in cash, and somebody keeps it in a notebook. The arithmetic is not the hard part. The hard part arrives three months later when a donor asks where their money went, and answering needs the notebook, the person holding it, and an afternoon. Software for this exists and is priced for organisations with a finance team. So the ledger stays in a spreadsheet a volunteer already knows how to open, and the only thing added is what a spreadsheet cannot do alone: read messy human messages, refuse to trust its own reading , and publish the page that answers the question before it is asked. Demo The public page a donor opens → That page is the deployed page, byte for byte, with one line changed: where the Apps Script version writes <?= data ?> , the demo fetches the same JSON from a file so you can read it without a Google account. The JSON is produced by running the sample month through the same recordEntry() and publicView() the real script uses, so if the ledger rules change, the demo changes with them or the build fails. The sample month deliberately includes the things that go wrong: a receipt two volunteers forwarded, a donation typed with one zero too many and later corrected, and a reading the checks refused to trust. What the model read, and whether it was allowed to count → The ledger page shows the result. This one shows the part worth showing. Pick any of six real donation messages and it highlights the exact characters Gemini says it read the amount from, lists the three checks with their outcomes, and says why the row was posted or held. It is fed by a recorded run

Google has open-sourced Mantis, an AI-agent framework designed to automate the software vulnerability lifecycle, from identifying and validating vulnerabilities to reproducing and fixing them. Google says it developed Mantis to address the high rate of false positives and hallucinated vulnerabilities produced by conventional AI-powered code scanning. By Sergio De Simone

There's a way to display any app on Android Auto, but it does present concerns about safety and reliability.

Bluetooth is a common setting that's typically always on in modern phones, but this feature may be leaving your phone open to a rather significant issue.

The sheriff’s office said the hikers “were advised by Gemini to bring far less food and water than their group required."

“Let’s split it into agents” has become the AI equivalent of “let’s make it a microservice.” Sometimes the boundary is useful. Sometimes it only creates more state, more coordination, and a harder failure to explain. The most dangerous assumption is that separate agents should run in parallel. Parallelism is safe only when the branches are genuinely independent. If one branch changes the world while another is evaluating it, both agents can make locally reasonable decisions that are unsafe together. Google ADK 2.0 makes workflow topology explicit through graph-based Workflow objects. That is valuable because sequences, branches, and joins become part of the program instead of an agreement hidden in a supervisor prompt. Series note: This is Part 5 of Reliable Google AI Agents in TypeScript . The examples were checked against @google/adk 2.0.0 in September 2026. Start with the dependency, not the agent count Imagine a system preparing a hotel recommendation. It needs live inventory, company travel policy, and a final recommendation. Inventory lookup and policy evaluation can run concurrently because both observe the same request and neither changes shared state. The final decision must wait for both. Now consider a different pair of operations: one agent changes the reservation; another calculates an upgrade using the current reservation. Those branches are not independent. Running them concurrently can make the upgrade decision depend on state that no longer exists. Before drawing a parallel branch, ask: Do both operations only read the same starting state? Can either operation change data the other consumes? Can either produce an irreversible side effect? Is there a deterministic way to combine their results? What happens when one succeeds and the other times out? If those answers are unclear, parallel is an optimization you have not earned yet. Encode safe parallelism as fan-out and join ADK’s TypeScript Workflow graph can express two independent branches and a joi

Audio ducking can be annoying, but it serves an important purpose.

In a recent research paper, Google introduced Beyond Zero, a “security model for the AI era” that extends Zero Trust to autonomous AI agents. The new approach moves access decisions from the application level to individual resources and actions, combining static authorization controls with dynamic AI-driven decisions to enable machine-speed enforcement for humans and agents. By Renato Losio

Gemini Spark can edit and curate photo albums, create shared collections, turn photos into calendar events, and handle other Google Photos tasks for AI Pro and Ultra subscribers.

Service interruptions hit ChatGPT, Claude, Grok, and Gemini practically simultaneously.