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Google

Workspace

A month ago, Google rolled out passkey support to consumer Google accounts. Today, it is extending this to business users, with the open beta launch of passkeys for Google Workspace and Cloud accounts. Like almost every other major tech company ...

https://www.bing.com/th?id=OVFT.t1SsLbnTKsw3PQ7ftv183S&pid=News

Google Workspace and Cloud get support for passkeys

Yahoo Finance

Illinois

Settlement

The settlement is the latest with a tech giant over violations of users' privacies that nets Illinois residents cash in their pockets.

https://www.bing.com/th?id=OVFT.Xlj5Of5CX4AOhS37MEvnny&pid=News

Google to pay out $95 each to claimants in Illinois privacy settlement

https://www.bing.com/th?id=ODF.5ow5sVx0PdBFJ_lQxi7IJA&pid=news

Crain's Chicago Business

Google Chrome

Security

In a new blog post, Google reports that the exploit targets Chrome’s V8 Javascript engine and was successively exploited “in the wild” before the company could release a patch. It impacts Chrome on Windows, Mac and Linux, and Google classifies it as carrying a high threat level.

https://www.bing.com/th?id=OVFT.zZxQwXmjxmpvzeVkaeSx-C&pid=News

New Security Warning Issued For Google's 3 Billion Chrome Users

https://www.bing.com/th?id=ODF.U6nYa4Huf-RFEhjg-V4hNg&pid=news

Forbes

Honda

Acura ZDX

To refresh, Google built-in is the branding used by the company for cars that support Google Automotive Services. Google apps and services are directly integrated into the vehicle

https://www.bing.com/th?id=OVFT.Evms39huNFgVY3Zf91aZSi&pid=News

Honda announces Acura ZDX will be first EV with Google built-in

https://www.bing.com/th?id=ODF.Eo5m7BPNFOPugCZcNswMBg&pid=news

The Verge

Glean, an enterprise search startup, launched Glean Chat, a ChatGPT-like assistant specifically for workplace productivity.

https://www.bing.com/th?id=OVFT.T5PqMp516wNNuY-NcMu29y&pid=News

Glean Chat launches to unlock AI-driven search for the enterprise

https://www.bing.com/th?id=ODF.qPCJA3Or4GGU4hhi1ZEpfg&pid=news

VentureBeat

Infotainment

The built-in system uses Google-based software, making it the first Acura model in history to feature an integration of technologies from the California-based company. Acura won’t just implement Google’s existing applications to its existing ...

https://www.bing.com/th?id=OVFT.tI0CJjef4oorB0h-Hy0poS&pid=News

2024 Acura ZDX Features Google-Based Infotainment System

Acura

With Google Maps built in, the ZDX can start preconditioning its battery when it notices the driver is headed for a charging station

The 2024 ZDX Electric SUV Will Be Acura’s First Vehicle With Google Maps And Play Built-In

https://www.bing.com/th?id=ODF.Zekvzn4SL2UxaRywrQheBQ&pid=news

Carscoops

Matt Stoller, director of research at the American Economic Liberties Project anti-monopoly group, called the cost issue one of the industry “choke points” he is tracking amid the AI boom.

https://www.bing.com/th?id=OVFT.CYZvE7AeVlh3i8kYSjEh_i&pid=News

Trauma trigger

Competition

United States District Court for the Southern District of New York

AI’s steep costs are already triggering competition concerns

https://www.bing.com/th?id=ODF.JRpbjhQKSgfe9BXmFtAAoA&pid=news

The Washington Post on MSN.com

Designed to be paired with the ActivPanel LX, the OPS-A computing module provides easy access to the Google Play Store and regular security updates SEATTLE, June 6, 2023 /PRNewswire/ -- Promethean, a leading global education technology company, today ...

https://www.bing.com/th?id=OVFT.hLhJcPeWzKhdS0XS0PRK4y&pid=News

Promethean Launches One of the First Google EDLA-Certified Android Devices for the IFPD Market

Business Insider

Google, LLC is an American multinational technology company that specializes in Internet-related services and products, which include online advertising technologies, a search engine, cloud computing, software, and hardware.

Artificial Intelligence: Now Coming to a Google Product Near You 

Earlier this year, on Feb 6, 2023, . He talked about how Google was re-oriented in 2017 around artificial intelligence to organize the world’s information and make it universally accessible and useful. Sundar Pichai introduced Google’s Bard to the world And on May 10, 2023, they finally made it available to the public. Bard Enters the Chat Powered by Google’s next-generation language and conversation capabilities, Bard is an experimental conversational AI service (yeah, we know you’re still not over ). The first glimpse said that Bard could be used to: ChatGPT Plan a baby shower Compare two movies Chalk out a recipe out of whatever’s left in your fridge Simplify complex topics The initial release was powered by a lighter version of their large language model as it required less computing power, and thus, enabled them to scale more users. Some of the characteristics of Bard they earlier highlighted include: Brings the benefits of AI into everyday products Helps developers innovate with AI (significantly reducing ) app development costs Bold & responsible The Public Appearance And well, like any showstopper would have it, all eyes have been on Bard ever since Google announced its . Now available for use in more than 180 countries, it’s available in a number of languages including Japanese and Korean with 40 more languages coming soon. public release What’s more? You will soon be able to use it in Gmail and Google Docs too. Google has introduced Bard as ‘your creative and helpful collaborator, here to supercharge your imagination, boost your productivity, and bring your ideas to life.’ However, the company has also clarified that Bard is an experiment and may give inaccurate or inappropriate responses, urging people to help make Bard better by leaving feedback. Google I/O 2023 Google made all these and more announcements at . They talked about how AI is currently helping them enhance the capabilities of their products. Google I/O 2023 Help me Write in Gmail New Immersive View for Routes in Google Maps A new Magic Editor experience in Google Photos Expanding upon their aim of making artificial intelligence more helpful for everyone, they highlighted how they are advancing their timeless mission. By improving their users’ knowledge and learning and deepening their understanding of the world. By boosting creativity and productivity so that the users can express themselves and get things done. By enabling developers and businesses to build their own transformative products and services. By building and deploying AI responsibly to make sure everyone benefits equally. Getting Started With Google Bard As is the case with most Google apps, you can start using Bard by signing up on if you have a Google account. I signed up recently, and here are some first thoughts. bard.google.com The response time is just a few seconds (faster than GPT4) The user interface is better than ChatGPT It allows you to export the responses to Docs and draft in Gmail, and well, if there’s something you are unsure about, you can Google it in one tap! (Let’s all just agree the search engine is invincible.) Bard’s capacity to hold information is limited at the moment, but the FAQs address that saying its ability to hold context will improve gradually. Google has also clarified that your conversations on Bard will not be used for advertising purposes and that any changes to this approach will be communicated clearly. Wrapping Up It is safe to conclude that Google Bard is a step in the right direction, and as more conversational AI platforms come into existence, it will be interesting to keep an eye on all the AI wars that will most certainly follow. Have you tried out Bard yet? What are your first thoughts?

Google’s Bard – Analyzing the Much-Awaited Public Launch 

Google has just unveiled mind-boggling advances in artificial intelligence that bring generative AI capabilities to an entirely new level. (1) Bard Google's response to OpenAI's ubiquitous chatbot, , has no waiting list and is available immediately. Bard AI can navigate the internet, has visual search capabilities for images, supports 20+ programming languages, and is compatible with other applications (Gmail, Docs, Spreadsheets, etc.). ChatGPT (2) Bard Plugins In contrast to Plugins, these are accessible to all users. With Bard, you now have instant access to OpenTable (restaurant reservations), Kayak (travel bookings), Spotify (playlist creation), Walmart (direct ordering), and Indeed (job searching), among others. OpenAI will now need to up its game. ChatGPT (3) Gmail powered by AI Google released "Help me write" in Gmail, permanently altering the nature of email. Now, you only need to write a single-line prompt, and AI will compose the entire email for you in mere seconds. You can edit your communications, alter the tone, etc., later on. (4) Google Photos The new "Magic Editor" in Google Photos allows you to alter the illumination of a scene, remove unwanted elements, adjust your position, and more. You can now alter your photographs like a specialist. (5) MusicLM MusicLM, Google's audio generator, is the finest music model currently available. It generates tunes based on your requests, which is utterly astounding. The music business will never again be the same. (6) Google Food Alerts This app uses machine learning to analyze search queries related to foodborne illness and food safety to identify potential outbreaks. It then sends alerts to public health officials to help them quickly identify and respond to outbreaks. Google is a member of the , a group of companies and organisations working to improve food safety through collaboration and innovation. Food Protection Alliance (7) PaLM 2 This is Google's new state-of-the-art language model, which has superior multilingual and reasoning capabilities and is more computationally efficient than PaLM. It has been taught more than 100 languages and is available in four sizes: - Gecko (10 billion parameters) - Otter (100 billion parameters) - Bison (1 trillion parameters) - Unicorn (ten quintillion parameters) Google(Today begins a new era of generative AI) Daily, 's 15 products serve 4 billion individuals and over 6 million enterprises. The most recent AI capabilities will alter how they operate, collaborate, produce, and travel. Today begins a new era of generative AI. Google

7 Ways Google is Competing with ChatGPT

’s highly anticipated brought forth exciting news as the tech giant unveiled PaLM 2, its latest large language model (LLM). With PaLM 2, Google aims to enhance its AI capabilities across various domains and provide developers with a powerful tool for language processing and understanding. Google I/O developer conference Here are the key takeaways from this groundbreaking announcement: PaLM 2 serves as the core technology behind Google’s updated Bard chat tool, directly competing with OpenAI’s renowned ChatGPT. Moreover, PaLM 2 acts as the foundation model for a range of new AI features that Google plans to introduce. By leveraging this advanced language model, Google seeks to empower developers with cutting-edge natural language processing capabilities. PaLM 2 is Powering Google’s Bard Chat Tool and Beyond: Google diverged from the traditional emphasis on model size and parameter counts, highlighting the importance of capabilities instead. Deepmind VP Zoubin Ghahramani stressed that larger models are not always superior. PaLM 2’s extensive training includes a vast array of math and science texts, enabling it to excel in common sense reasoning, mathematics, and logic. Notably, PaLM 2 showcases remarkable proficiency in solving math problems, providing diagrams, and reasoning through complex issues. Focusing on Capabilities Over Size: Recognizing the significance of programming languages, PaLM 2 received training on 20 different programming languages, encompassing popular choices like JavaScript and Python, as well as lesser-known languages such as Prolog, Verilog, and Fortran. Google introduces Codey, a specialized model built on PaLM 2, designed to aid in code writing and debugging. This advancement promises to streamline the coding process and enhance developers’ productivity. Enhanced Support for Code Writing and Debugging: PaLM 2 sets a new benchmark in multilingual language processing. Trained on a corpus encompassing over 100 languages, PaLM 2 surpasses its predecessors by demonstrating nuanced phrasing and a deep understanding of diverse linguistic nuances. This proficiency makes it invaluable for a wide range of multilingual tasks and applications. Multilingual Mastery: Google envisions PaLM as a versatile family of models. Alongside Codey, there are other variants tailored for specific use cases. Med-PaLM 2 focuses on medical knowledge, while Sec-PaLM addresses security-related scenarios. Google’s exploration of a smaller PaLM 2 model for smartphones could expand its applications to privacy-centric use cases, although specific timelines for its release remain undisclosed. A Family of Models: Google maintains its commitment to responsible development and safety in the AI landscape. The deliberate approach to launching AI features aims to ensure that the tools Google introduces meet rigorous quality standards and ethical considerations. PaLM follows this approach, although its performance and handling of edge cases still require real-world testing to ascertain its effectiveness. Responsible Development and Safety: As Google introduces PaLM 2, the tech community eagerly anticipates the impact of this next-gen language model. With enhanced capabilities in common sense reasoning, mathematics, code writing, and multilingual understanding, PaLM 2 paves the way for groundbreaking advancements in AI-powered applications across industries. Developers now have a powerful tool at their disposal, empowering them to create innovative solutions that leverage the immense potential of natural language processing and understanding. Also published here. The featured image for this piece was generated with Kadinksy v2 Prompt: Illustrate Google-powered AI

Unveiling PaLM 2: Key Insights on Google's Next-Gen Language Model 

Tech writers, including me, have been asking how will incorporate conversational AI into search. How will the new Bard conversational AI tool affect Google’s ad model? How will Bard get better? Google We’ve been asking the wrong questions. In fact, Google aspires to change search completely using AI. , Google is building an all-new search engine powered by AI. Code-named Project Magi, the effort will result in a more personalized search experience based on our search behavior. As reported originally in The New York Times April 16 Per The New York Times, the new search experience “would learn what users want to know based on what they’re searching when they begin using it. And it would offer lists of preselected options for objects to buy, information to research, and more. It would also be more conversational — a bit like chatting with a helpful person.” And this caught my eye: reinventing search “would keep ads in the mix of search results. Search queries that could lead to a financial transaction, such as buying shoes or booking a flight, for example, would still feature ads on their results pages.” This is important because one of the open questions about Bard is how Google will incorporate ads into conversational AI. Bard does not feature ads in its user interface, and ads generated $225 billion for Google in 2022. A lot of money is at stake. It’s the OpenAI Effect. Once OpenAI released its ChatGPT tool into the wild, the impact was felt far and wide. Microsoft quickly unveiled a new Bing search tool powered by the same large language models that underpin ChatGPT. also increased its multibillion-dollar investment into OpenAI and announced the integration of ChatGPT into core Microsoft products such as Office. So, why the rush? Microsft Google – already developing large language models such as LaMDA – hit the panic button. Its AI investments were accelerated. Bard was pushed into the market before it was ready (and, in fairness, the same could be said about Bing). Google had good reason to declare a Code Red emergency: Samsung recently said it was considering r as the default search engine on its devices. An estimated $3 billion in annual revenue was at stake with the Samsung contract. eplacing Google with Microsoft’s Bing All of this comes with a big, big catch: the latest generation of conversational AI tools powered by large language models is still fraught with many problems such as – ahem – generating . That’s why Google didn’t want to rush its own AI solutions into the market. false and biased results It feels like we’ve entered the realm of 'shoot now and ask questions later'. Google has a big opportunity to be more proactive about how the company is making AI more responsible in search and beyond. When Sundar Pichai, CEO of Google and Alphabet, announced the development of Bard on February 6, he wrote, “AI is the most profound technology we are working on today.” He also , wrote It’s critical that we bring experiences rooted in these models to the world in a bold and responsible way. That’s why we’re committed to developing AI responsibly: In 2018, Google was one of the first companies to publish a set of . We continue to provide education and resources for our researchers, partner with governments and external organizations to develop standards and best practices, and work with communities and experts to make AI safe and useful. AI Principles Pichai made those remarks in the last paragraph of that post. It’s time to move the narrative about responsible AI higher up in the story, and pronto Meanwhile, we don’t yet know the full impact of Google’s efforts to make search more personal and conversational, but the impact on businesses could be profound. For instance, businesses will need to publish hyper-targeted content and conversational ads to be relevant to the more precise, conversational, and personalized search results that Google envisions. Potentially the path from search to purchase will begin and end with one Google chat. This is not the reality today with Google’s Bard conversational AI tool, but it could be tomorrow.

How Google's New AI-Powered Search Engine Will Affect Advertising and Business Strategies

Recent AI models such as and have showcased impressive capabilities in generating text and images. ChatGPT Midjourney However, there are also models that specialize in understanding these inputs, such as the Vision Transformers (ViT) for images and Pathways language model (PaLM) for text. These models can interpret and comprehend the meaning of images and sentences. Combining both text and image models would result in an AI that can understand various forms of data and would be able to comprehend nearly everything. However, the capabilities of such a model may seem limited at first glance, as it would only be able to understand things. But, what if this model is integrated with a robotic system that can move in the physical world? This is where PaLM-E comes in. What is The PaLM-E AI Model by Google? Google's latest publication, PaLM-E, is an . embodied multimodal language model This means that it is a model that can interpret and understand various types of data, including images and text from ViT and PaLM models respectively, and convert this information into actions through a robotic hand. Learn more in the video… https://youtu.be/1RF06BL7VAc?embedable=true&transcript=true

Google's PaLM-E (AI Robot) Can See and Understand Language

PaLM-E (robot AI) de Google puede ver y comprender el lenguaje

Le PaLM-E (IA Robot) de Google peut voir et comprendre le langage

Google का PaLM-E (AI रोबोट) भाषा देख और समझ सकता है

GoogleのPaLM-E（AIロボット）は言語を見て理解できる

O PaLM-E (robô AI) do Google pode ver e entender a linguagem

PaLM-E của Google (AI Robot) có thể nhìn và hiểu ngôn ngữ

谷歌的 PaLM-E（AI 机器人）可以看到和理解语言

’s bigquery forms a big part of tech stack and has supported our growth from messaging a few hundred thousand contacts to almost 100 million in a matter of months. It allowed us to scale without having to maintain significant infrastructure or incur massive costs for managed services. We use it to not only ingest and process massive datasets but also build machine learning models to power our intelligence. Google Aampe’s With all of its upsides, Bigquery came with some big challenges. One of our largest had to do with automated testing. Growth in both our product offerings and our customers forced our platforms to evolve, and the increased complexity raised concerns about reliability and availability. We had to spend too much time on operational tasks. We needed to build testing suites to kick the tires every time we made changes, but we weren’t sure how this would work when a lot of our complexity and logic were in queries that were meant to run on Bigquery. We solved the problem by building a test harness that would generate predictable input data, so we could verify the output data. Generating a variety of scenarios in our input data allowed us to test a lot of complicated logic. In our initial iteration, our harness included the following functionality: Test Infrastructure Setup We use the pytest for setting up our tests. We set up different datasets in BigQuery for each test we run so multiple engineers running tests as well as a robust CICD infrastructure wouldn’t get in each other’s way. Before each test suite is run, we instantiate the harness, create a dataset in bigquery, and initialize the data generators and validators. Each dataset serves as a namespace for the tables required to test a given scenario. Data Generators Most test scenarios required multiple bigquery input tables, and therefore several data generators. The generators typically take as input the number of rows of data to generate, the table name to generate the data in, the date to generate the data for, a config for whether to append or overwrite the data in the table, and possibly several more parameters, depending on the need. A test may call multiple generators to generate each of the needed input tables. Data Validators Once all the input data are generated, we run the modules that need to be tested. Results too are generated in bigquery tables. Validators verify these output tables. Some common validators verify things like the total number of rows in the output table, the number of distinct values produced in a given column, or that the number of rows in one table is equal to the number of rows in another. The validators are also able to support more complex needs, like verifying counts for every group after a group by operation, or ensuring the absence of duplicate keys in each group. Validators also have the option to retrieve a filtered set of rows as a pandas dataframe to do custom validations. Teardown and Cleanup When the tests have completed running, the test harness tears down the bigquery datasets and their underlying tables to keep our environments clean and keep bigquery costs low. Unit test example walkthrough Say we need to test a method that is responsible for assigning messages to contacts from a pool of messages. This method needs two input bigquery tables. The first table contains a list of contacts, the second table contains the pool of messages. We initialize the harness, which creates a new dataset in bigquery and also initializes the data generators and validators. We call the contact list generator and tell it to generate N unique contacts in a table called “contacts”. We call the message generator and tell it to generate M different messages in a table called “messages“. We run the method being tested which returns a table name containing message assignments for each contact. We can use the validators to: Ensure there are n rows (equal to the number of contacts we created). Ensure there are no duplicates in the result table. Ensure no contact is assigned a null message. In our first week, we launched this harness with 3 tests. The team has since added 200 additional tests.  We’ve not only caught several bugs before production, but the tests themselves have also served as documentation for the code, allowing members of the team unfamiliar with parts of the system to approach it with added confidence.

Navigating Unit Tests with Google's Bigquery

The Developer Nation Broadcast brought to you by the Developer Nation Community is a podcast that aspires to shed light on the journey of developers that have set the bar high by pursuing impressive career paths. In this first episode, we welcomed Lars Bergstrom, currently Director of Engineering at Google, following an impressive career in companies like Mozilla and Microsoft. Lars is navigating us through his career path, sharing his experience and offering helpful advice and inspiration to software developers as they plan their coding journey. Ayan I'm really excited to have you here. We just started this podcast and having you as one of the few initial guests is really amazing. I can feel right away. So, thank you for doing this. Tell me about what things you have been up to and a small introduction about you and what you have been currently doing. Lars Thanks for the opportunity to be the first speaker here. So, My name is Lars, I'm Director of Engineering here at Android and I work on basically supporting the teams that build the compilers, the tools, and the runtimes that you use to both build the Android operating system, as well as build applications that target Android. So, I've been here for a little more than two years now, officially, and it's been a great new gig to get started on. Ayan Oh, that's amazing. You have worked with some fantastic organizations and companies and amazing projects. You're working for Google, but you have spent many years at Mozilla. What would you say is different in the working style of entirely open source organizations like Mozilla versus Google, which does have a fair bit of open source in every project that they have been doing? How do you feel working for Mozilla and working for a company like Google differ? Lars Yeah, it's really interesting, because Mozilla was, or is, also not just a corporation, but it's actually a nonprofit. So, it's a very mission driven organization, where, you know, Google is definitely a business. And we both work on open-source projects, but with kind of very different goals and very different work styles. Right at Mozilla, one of the sort of hallmarks, there was radical transparency and openness, in a way that I was not used to, because I'd been at Microsoft before that as well. And so, the idea that not only would the code be open source, but the plans were open-source, our bugs were open, what companies were working with our long-term goals, sort of even how the business made money was very open. And that kind of transparency was really interesting and difficult, you know, was a challenge for me, because you get feedback very early on in the process, right, you're just sort of throwing thoughts and ideas around thinking maybe we'll change it like this, maybe we'll change it like that. And a lot of the private iteration you usually do in private companies is actually out in public, for people who you know, and even after 20 years in the industry, you never get rid of that fear of like, oh, my gosh, is someone going to notice that actually, I'm an idiot, that I was wrong here that I made some horrible mistake and getting comfortable with the idea that you're going to be doing this work in public, and you're going to get feedback from a lot of people. And, you know, the big nice thing about that is that it builds trust, it brought people in early, they felt like they had been part of the conversation. They were part of the journey. And even if they disagreed with where you went, at the end with the final decisions for the product, they felt like at least they were part of that conversation and journey. And it's very different at big companies. And you have a variety of projects, as you mentioned at Google, I'm fortunate to work on Android where most of what we do is open source, but it has a very different feel, right? Mozilla is trying to get a lot of public contributors from individual developers working on open-source projects to contribute. With Android, we want to do that. But really, the key thing is we have over 1200 vendors who build on Android, who want to build commercial products, and they want to participate; they want to contribute, but they don't necessarily want to share their long-term product plans publicly with it. And so it's a very different structure of the organization where you're still open source and you still want to contribute you do as much as you can in public, but you also have to respect the privacy of these companies that are trying to build new products and market and many of these companies are competing with one another. We as Google want to support all of them, and try to encourage them, like; Hey, I know you're making these changes, but could you put it upstream, like, we think this will be beneficial for the whole ecosystem, and it would be less work for you if you did that. And so they both, even open source projects, there's just so many different flavours of them. And as you said, they're different at different companies. And it's been an interesting journey for me to get to learn about how this works, and how you encourage participation, because that's the key part of open source, right, you're making an open source, there are some discoverability aspects, but really, you want participation, you want other people to come with you on this journey, to build products. And how you do that, and how you structure it to make that happen, is really interesting based on your business's goals. Ayan I'm sure that working on the Android operating system, you still want contributors, like you mentioned, you still want people to have that sense of contribution to an open source project, but at the same time, you still want features to be part of the mainline or upstream, and they really would make some value to the operating system. So, is it something along those lines? Lars Yeah, and you want to be respectful of the pace with which people can bring these products to market or adapt these changes, if they're, in an open source project, you might just push the change out and say; “Okay, we're changing the new API, there's going to be new requirements or something else, and we're just going to land it in the tree, and we're going to make this happen”. And there's much more of a conversation based on product or business needs; this might not be the most important feature, our vendor ecosystem might want to do the work, but they might not be able to do it for one year. And so, can we make it optional for a bit? How long do we need to keep the old version around? How do we migrate people? And it's really thinking about that story of evolution. And not just technically, how can we do it, but how can we ensure that our vendors can go with it, that our application developers can pick it up in time? How does that whole story work together, and that can be very different from open source projects where you just land a new API change, and as long as it isn't too breaking, you can just sort of keep rolling forward with it. It's much more like a consortium there. And then to be clear, we still get the feedback from our vendor partners as well, where they'll say, Lars, that's a terrible idea. Like we absolutely can't do that, what are you thinking, but it happens in private, at least. Ayan So, going a little deeper into your role at the Android project and Google, in general. So, what would you say is like your day-to-day roles? Are you still involved in programming? Or is it more like decision-making and project management? And just in general, like, what sort of things have been doing lately for Android? And what does your usual day in a workload look like in terms of technicality when it comes to managing such projects? Lars Yeah. So unfortunately, in my role, I don't get to read a lot of code anymore. I try to take some time, usually around the new year to go back; I'll do advent of code, I'll try to do a commit or two in the project because I think it's important at all levels of engineering management to really understand the tools that your team is working with. And not just the language, but also the CI system. What do they have to do when they check in? What tests get run? What do the portals look like? What happens when things break? How do they track down these bugs, it's very easy, particularly as you get an engineer, to have this kind of memory of how everything was, 5 or 10 years ago, back in the days when you were slinging code, and that can lead to this disconnect between you and the team where you think it's super easy to get a change. And then the team says like, no, you've forgotten their privacy reviews, there are 2.2 million tests that run before you can check in your first change. And so, I do try to do that, but to be clear, I don't go on any piece of code, my name is not on the owners' file, and I don't get to look in the headers there. Most of my day-to-day work is really focused around either management work, technical work or strategy. So, on the management side, I'm a people manager. This is why I'm in the role. I often joke about management, I can fix anything else, like everything is tactics and management, they have to like seeing people grow, and you have to be personally invested in helping people get better at their jobs, seeing them grow, seeing them possibly go far beyond you, and get into new roles that are beyond where you've gone and that takes up a lot of my time. Whether it's in coaching people, whether it's in hiring, whether it's in dealing with organizational structure and making sure that people have a good career path and everyone's being well supported. That takes up a good portion of my time. My job as a manager will really depend on the time of the year for where we're kind of at in the product cycle. And then finally, the third bit I mentioned was strategic, which is where we're trying to have multi-year initiatives. It's very easy to just get caught up in the one year of Android and everything else is the infinite future. But there are some things that I work on, like adding support for new kinds of hardware, or new hardware features, or driving new programming language adoption or new tools. And those can take 2, 3, 5, or even 10 years. And so, my job is making sure that we don't forget about them, that we continue to march them along, that we're making progress every year. So that when it's ready to ship, we're ready as a platform for its adoption. Ayan I’m sure you're doing a lot of operating system kernel and middleware stuff. But I just want to understand from your perspective, when do you think a project gets mature enough so it can start having different projects that support itself? For example, like in iOS, the application development used to happen on Swift, and it was Java for Android for a very long time. But the application developers and application flux were so high that they wanted to make it easier. So, iOS moved to Swift and Android moved to Kotlin. Lars Yes, so I've been through many language changes over the years, right. I was at Microsoft during the .net revolution, where C sharp came out. Now I'm going through Java to Kotlin, I'm going through a lot of the C++ to Rust. And of course, on the website, the evolution that's happened over there has been tremendous. And I think when you look at it, it's not about language features, right? It's coming back to sort of the analogy we're making about how our users use the application, it's about the demands changing for what has to be done with an application. So whether that's with Swift, there was also a new UI framework that was coming out that Swift happened to be much better at programming. And so while Swift is a great language, and in many ways, you can say it's better than Objective C, if there hadn't also been a corresponding set of framework changes that were much easier to express and faster to author, I don't know that we've seen would have seen the same pickup of Swift that we have. And it's the same thing for Kotlin with jetpack compose. Jetpack compose plus Kotlin is kind of the magic; it's not just Kotlin, although some of the things with nullability checking and async. And a lot of the features that really have not yet made it to Java, that innovation has really landed there and driven the adoption of it. And we see it with Rust as well that, just moving from C++ to Rust, people wouldn't have done it, if it weren't for the changing security landscape and some of the dynamics there. So there has to be this kind of convergence, like a language on its own really can't win on the basis of better places to put the semicolons or the curly braces or syntactic sugar, those things are easy enough to backport into previous languages, backwards compatibility accepted, there has to be some other thing that's tied to it, that's going to solve some problem that developers are facing or make them more productive that really at least when I've seen languages be successful in my career that's really been it, is that the language had a name, but there was some set of tooling that came along with it that made developers more productive, that solve real problems for them that caused that or that drove that change across the ecosystem. There is more in this interview - you can check out the full podcast . here

Google Director Spills the Beans on Working for a Mission Driven Vs. a Business Driven Organization

. Well so do many other people. With the script in this article, you can introduce a menu button that lets you delete duplicate rows in your spreadsheet. Ugh.., I have so many duplicate rows in my spreadsheet This blog is the second part of the blog I published a few days ago: “ ”. There I provided a simple script to highlight duplicate rows. This script will extend that script to delete those duplicate rows. How to Highlight Duplicate Rows in Google Sheets? For Non-Coders If you’re not a coder and don’t wanna be bothered with an explanation then follow this step: Open Script editor. On your spreadsheet click the extensions tab and open the apps script as shown in the image above. Remove all the codes in . Then copy and paste the code from the section in this blog. Code.gs Full Code Save and then reload the . Now, reopen the Apps script as instructed in step 1 ( spreadsheet Sometimes the script doesn't work without saving and reloading). If you’re already using the previous script then you can just copy and paste this script the previous one. over Full Code Here’s the full script for this blog including the previous blog’s code. /**
 *The colorDuplicateRows() colors the duplicate rows.
 *Each unique rows and its duplicates are highlighted with different color
 */
function colorDuplicateRows() {
  // get sheet and data
  let sheet = SpreadsheetApp.getActiveSheet();
  let data = sheet.getDataRange().getValues();

  // find lastCol
  let lastCol = Math.max(...data.map((arr) => arr.length));

  // convert nested arrays to string
  data = data.map((arr) => arr.join(""));
  // find unique ones among arrays
  let uniqueRows = [...new Set(data)].filter(String);
  // create unique color for each unique arr
  let uniqueColor = {};
  uniqueRows.forEach((val) => (uniqueColor[val] = getRandomUniqueColor()));

  // console.log(uniqueColor);
  // find duplicate row for each item
  let duplicateRows = data
    .map((x, i) => (isDuplicateRow(x, data) ? i + 1 : ""))
    .filter(String);
  // console.log(duplicateRows);

  // now reset color before highlighting duplicate rows
  colorReset();

  duplicateRows.forEach((rowNum) => {
    for (let i = 0; i < uniqueRows.length; i++) {
      //console.log(range.getValues())
      // compare each item with uniqe items and assing color accordingly
      if (
        sheet.getRange(rowNum, 1, 1, lastCol).getValues().flat().join("") ===
        uniqueRows[i]
      ) {
        sheet
          .getRange(rowNum, 1, 1, lastCol)
          .setBackground(uniqueColor[uniqueRows[i]]);
      }
    }
  });
}

/**
 * Function takes two items: row and arr.
 * The parameter "row" is a string to be compared to items in array "arr".
 * Inspired from https://stackoverflow.com/a/68424642/6163929
 * @param {String} row
 * @param {Array<String>} arr
 * @returns {Boolean}
 */
function isDuplicateRow(row, arr) {
  return row === "" ? false : arr.indexOf(row) != arr.lastIndexOf(row);
}

/**
 * Menu creates menu UI in spreadsheet.
 */
function createCustomMenu() {
  let menu = SpreadsheetApp.getUi().createMenu("Highlight Duplicate Rows"); // Or DocumentApp or SlidesApp or FormApp.

  menu.addItem("Highlight Duplicate Row", "colorDuplicateRows");
  menu.addItem("Delete Duplicate Row", "deleteDuplicateRows");
  menu.addItem("Reset Colors", "colorReset");
  menu.addToUi();
}

/**
 * OnOpen trigger that creates menu
 * @param {Dictionary} e
 */
function onOpen(e) {
  createCustomMenu();
}

/**
 * ColorReset is used to reset bg color of spreadsheet to its original color.
 */
function colorReset() {
  let sheet = SpreadsheetApp.getActiveSheet();
  sheet.getDataRange().setBackground("");
}

/**
 * Function creates a unique random color as hashcode.
 * @returns {String}
 */
function getRandomUniqueColor() {
  // thanks to function https://dev.to/rajnishkatharotiya/generate-unique-color-code-in-javascript-3h06
  let n = (Math.random() * 0xfffff * 1000000).toString(16);
  return "#" + n.slice(0, 6);
}


/**
 *The deleteDuplicateRows() funciton deleted the duplicate 
 *rows in current active spreadsheet.
 */
function deleteDuplicateRows() {
  // get sheet and data
  let sheet = SpreadsheetApp.getActiveSheet();
  let data = sheet.getDataRange().getValues();



  // convert nested arrays to string
  data = data.map((arr) => arr.join(";"));
  // find unique ones among arrays
  let uniqueRows = [...new Set(data)].filter(String);
  // convert the values from string to qrray again
  let newData = uniqueRows.map(itemStr => itemStr.split(";"));

  // find last row and col for new range.
  let newLastRow = newData.length;
  let newLastCol = Math.max(...newData.map((arr) => arr.length));

  // reset previous colors if the highlight function is used
  colorReset();


  // clear previous contents to save only unique values
  sheet.clearContents();
  // set new values
  sheet.getRange(1, 1, newLastRow, newLastCol).setValues(newData);

}


/**
 * Code By Nibesh Khadka.
 * I am freelance and Google Workspace Automation Expert.
 * You can find me in:
 * https://linkedin.com/in/nibesh-khadka
 * https://nibeshkhadka.com
 * me@nibeshkhadka.com
 */ is the new function added to the script of the previous blog. Also, the menu item is extended to add the function. deleteDuplicateRows() Similar to the previous blog, you can now just: Save the code. Reload the spreadsheet. And execute the function. You’ll able to see the menu with the title “Highlight Duplicate Rows“. Now, you can check duplicate rows  in your spreadsheet and delete them if you want with ease. Also published here. Thank You for Your Time I make Google Add-Ons and can also write Google Apps Scripts for you. If you need my services let me . know Don’t forget to like and share this blog.

Removing Duplicates in Google Sheets: A Guide for Non-coders

This is by (source: ). Meer is a NASM trainer. Twitter thread Ben Meer @SystemSunday 09-23-2022 https://twitter.com/SystemSunday/status/1566039780844048385?embedable=true&thread=true Feature image generated via prompt of ‘Galaxy expanding’ HackerNoon Stable Diffusion

The 10 Best Google Chrome Extensions to Help You Expand Your Knowledge

You have checkboxes in your spreadsheet, you’ll like to count them easily. Well, this script I’ll provide will help you with exactly that. Non-coders can easily follow instructions and add this script to their projects. Namaste! This is Nibesh Khadka. I am a freelancer that develops scripts to automate Google Workspace Apps like Gmail, Google Sheets, Google Docs, etc. For Non-Coders If you’re not a coder and don’t wanna be bothered with a tedious explanation then you can just follow these steps: Open Script editor. On your spreadsheet click the extensions tab and open the apps script as shown in the image above. Remove all the code in . Then, copy and paste the code from the section in this blog. code.gs Full Code Save and then reload the . Now, reopen the Apps script as instructed in step 1 ( spreadsheet Sometimes the script doesn't work without saving and reloading). After this, you just have to make a minor edit as instructed below. Full Code Here’s the full script for this blog: // make minor change here.
// insert the number equivalent of your column with checkboxes here inside square boxes, like [1,2]
// for instance 1 for A, 5 for E, and so on.
const checkBoxColNumber = [5, 8];

/**
 * The function creates a custom menu in spreadsheet
 */
function menu() {

  SpreadsheetApp.getUi()
    .createMenu("Count Checkboxes")
    .addItem("Count Checkboxes", "countCheckbox")
    .addToUi();

}

/**
 * OnOpen is resposbile to insert menu to spreadsheet.
 */
function onOpen(e) {
  menu();
}



/**
 * CountCheckbox goes through the active sheet and counts the number of checked and unchecked box among non-empty rows
 */
function countCheckbox() {

  // get sheet and data
  let sheet = SpreadsheetApp.getActiveSheet();
  let data = sheet.getDataRange().getValues();
  // remove first header column
  data.shift();

  // initate counts as zero
  let trueCount = 0;
  let falseCount = 0;

  // value count will be a nested list but as same length as Counting Checkboxes
  let checkBoxColValueCounts = [...checkBoxColNumber];

  // loop through checkBoxColNumber list and data list 
  for (let j = 0; j < checkBoxColNumber.length; j++) {
    for (let i = 0; i < data.length; i++) {
      // [...new Set(data[i])].filter(String) check to get unique value if its either just true or false
      if ([...new Set(data[i])].filter(String)[0] === true || [...new Set(data[i])].filter(String)[0] === false || data[i].join("") === "") { continue; }
      // if values is true push increase true count else false count
      if (data[i][checkBoxColNumber[j] - 1] === true) {
        trueCount += 1;

      } else {
        falseCount += 1;

      }
    }

    // add true and false count as nested list in respective place
    checkBoxColValueCounts[j] = [trueCount, falseCount];
    // reset 
    //console.log(checkBoxColValueCounts)
    trueCount = 0;
    falseCount = 0;
  }

  // create alert string with all info embeded
  let countStatsString = "";
  for (let j = 0; j < checkBoxColValueCounts.length; j++) {
    countStatsString += `\n In the ${checkBoxColNumber[j]} column, There are ${checkBoxColValueCounts[j][0]} boxes checkd and ${checkBoxColValueCounts[j][1]} unchecked boxes among non-empty rows.`
  }
  // alert the result
  SpreadsheetApp.getUi().alert(countStatsString);
} Using Script in Your Spread Sheet For this script to work in your spreadsheet you’re gonna have to make a tiny change in code. // make minor change here.
// insert the number equivalent of your column with checkboxes here inside square boxes, like [1,2]
// for instance 1 for A, 5 for E, and so on.
const checkBoxColNumber = [5, 8]; See this code in the beginning, you’ll have to replace these values with the number equivalent of the letters representing the columns with the values in your spreadsheet. For instance, 5 for E and 8 for H. If it’s just one column then just insert one value inside the square box like [5]. [5, 8] checkbox without the comma Navigating the Menu After this, you should save the script and reload your spreadsheet you should be able to see the menu in your spreadsheet, with the title “Count Checkboxes“ similar to the image below. When you run this function you’ll see an alert box with the sum of all checked and unchecked boxes for non-empty rows in your spreadsheet. Thank You for Your Time If you would like me to write short and quick blogs like these then leave requests in the comments. I make Add-Ons for and can also write Google Apps Scripts for you. If you need my services let me . Google know

Using Apps Script to Count Checkboxes in Google Sheets

What Does Google Want With Troop's Tissue Samples?

Google has long held a dominate, nigh-impenetrable hold over the online search market. , it holds 84% market share, with its closest rival Bing holding only 8%. It's hard to imagine Microsoft as the underdog in any market, as it's still nearly twice as large as Alphabet. According to Statista With the launch of ChatGPT, the paradigm may change, and it's not just Microsoft. Scrappy startup You.com has a similar ChatGPT-enabled search interface, and unlike the , it's available to everyone right now. And it's part of an integrated suite of tools from the company. new Bing Understanding You.Com is a search engine that was launched in November 2021 with the idea that there was room for another search engine based more on AI. The company was founded by Richard Socher, who previously worked at Salesforce and became famous for his work in natural language processing (NLP) and deep learning. You.com Socher sees You.com as the anti-Google, an open and user-centric search platform that emphasizes serving user needs instead of bombarding them with ads. One of the ways that You.com is differentiating itself from its competitors is through its use of multimodal search. The company is taking its head start in generative AI search and building on it by integrating elements beyond text. For example, if a user asks a question like “Which company has the most CRM market share?”, they will get the answer “Salesforce,” and if they follow up with “What is Salesforce’s stock price?”, they will get a stock chart instead of a text-based answer. Socher believes that multimodal search is a big step forward for chat-based search and can be applied to other questions depending on the context. You.com is growing at a double-digit percentage every month, with millions of people using the site every day. the company is still considering how to monetize, but it won't be like Google or Bing. Socher tells TechCrunch The company is exploring different paths, including private ads, subscriptions, and building third-party apps. You.com could allow third-party apps to sell a service and take a cut of the revenue when it's relevant to the user. Socher believes this is monetizing the end of the funnel, rather than the beginning, which is what ads do. Socher understands that You.com is up against formidable competition, but he believes that the company has found a way to differentiate itself. He says that the company has built something unique and different while capturing most of the things that people currently want from their search engine. Microsoft's New Bing Microsoft's new is designed to take on Google's dominance in the search market. Like You.com, the new Bing is powered by artificial intelligence software from OpenAI, the maker of the popular chatbot ChatGPT. It uses proprietary technology called Prometheus to extract search terms from users' requests, run those queries through Bing's search index, and then use those search results in combination with its own language model to formulate a response. A.I.-powered Bing search engine The new Bing is said to be a marked improvement over Google and ChatGPT in terms of search-related tasks, including creating travel itineraries, brainstorming gift ideas, and summarizing books and movie plots. Microsoft has also incorporated OpenAI's technology into Edge, its web browser, as a kind of superpowered writing assistant. Users can now open a panel in Edge, type in a general topic, and get an A.I.-generated paragraph, blog post, email, or list of ideas written in one of five tones. They can paste that text directly into a web browser, a social media app, or an email client. However, the new Bing is not perfect, as it can sometimes provide erratic and nonsensical answers. Moreover, there are concerns about how quickly A.I. technology is being developed and deployed and the implications of using A.I. language models to answer search queries on issues such as copyright, attribution, and bias. The new Bing is currently available only to a small group of testers but will become more widely available soon. Is Generative AI the Future of Search? Although both generative AI platforms are interesting, they have flaws. And they're too slow to replace Google just yet. They did during its launch of Bard AI. cost Google $100 billion Also, the conversational nature of them means voice assistants like Siri or Cortana are more suited to them. How these technologies ultimately disrupt online search (and the search engine optimization industry) remains to be seen. What is clear is there's a new AI arms race, and these tools are being tested in every market. What do you think is the future of search? Also published . here

You.com and Bing Are Challenging Google's Search Dominance

AI is flourishing with the rise of ChatGPT, while crypto crashes abound. So why can’t I stop thinking about blockchain? Artificial Intelligence (AI) is currently tech’s golden child. AI-powered tools like ChatGPT are now sophisticated enough to pass , and almost reported using ChatGPT to draft emails or code. MBA and medical license exams 30% of surveyed professionals Meanwhile, sentiment around blockchain is pessimistic. Justifiably so, after countless people lost their life savings amidst price crashes and the implosion of centralized cryptocurrency exchanges. I’ve worked in both spaces. I started as a product manager within Google’s Research & Machine Intelligence division, developing a product that I transitioned completely by accident when I discovered diagnosed patients with preventable eye diseases. blockchain could be leveraged for fundraising. Given the current momentum behind AI applications and the steep headwinds against blockchain, I’ve been asked repeatedly why I ever made the switch. The answer is simple: While AI empowers individuals, blockchain can empower collectives. Tech isn’t interesting without a concrete application: a hammer seems pretty lame until it’s used to build a house. So what are the applications of AI and blockchain respectively? In short: Let’s break this down with real-world examples that I’ve experienced. Artificial Intelligence: Empowering Individuals At Google, I worked on a product that assessed a patient’s risk of blindness based on the image of the back of their eye. Doctors used the tool below to generate a data set of 100k+ images and their associated disease status: After training on this data set, the AI could diagnose patients with . While the AI performed at par with expert physicians, it boasted two significant improvements: ~90% accuracy The model outputs a diagnosis in seconds, while humans take ~10 minutes, increasing the volume of diagnosed cases by 100x. Speed: The AI consistently outperformed less experienced and overextended physicians, since it trained on a significantly larger data set and is immune to fatigue Quality: This use case highlights the key value proposition of artificial intelligence: to replace or expedite human labor that is routine and/or error prone. The impact of introducing AI to this workflow is clear: by handing over the time-consuming, repetitive task of image recognition to AI, physicians could focus on what they uniquely do best: patient interaction. Rather than humans, we found that AI individuals through the time and effort saved of handling lower-level tasks. replace empowers ChatGPT promises to empower a broader set of individuals. Writers and developers who leverage ChatGPT will let the computer handle the boring stuff, creating more room for creative thinking. I’ve personally experienced this shift, saving energy by generating this post’s splash image on and leveraging ChatGPT to SEO-optimize my prose. MidJourney I’m a big believer in the power of AI to empower individuals and planned to continue my tech career in the space. So what pulled me away? My Unexpected Encounter with Blockchain: Museum Volunteering While I was clear on the value prop of AI when I joined Google, my foray into blockchain could not have been more random. I never understood the point of cryptocurrency, accusing my dad of gambling when he gifted me ETH in 2018 and selling it all when I thought it peaked at $28 (oops). But during COVID, I began volunteering for a museum. , a trend I hoped to reverse as an art lover. As I explored strategies for non-profit fundraising, I came across an unexpected solution: blockchain. A third of U.S. museums were at risk of closing permanently If I donate to a museum (or any cause) today, I have no idea whether the money is allocated as promised. I also have no say over how the funds are distributed since that is left entirely to the organization. Blockchain disrupts this model. As a quick refresher, forget any of the overcomplicated jargon you’ve heard to define blockchain. Blockchain is just like any other database (record of entries, such as transactions), except that no single entity has control over it (de-centralized). Traditional fundraisers track transactions on centralized databases, controlled by banks or the fundraiser. These databases are managed by and only accessible to their owners, meaning donors have no visibility. In contrast, records on public blockchains are viewable by anyone, holding fundraisers accountable for the proper allocation of the sum they raise. Due to its decentralized nature, blockchain ensures that fundraisers are transparent. Pushing fundraising entities towards transparency already represents a significant improvement over the status quo. But the true power of blockchain emerges when there is no central fundraising entity at all. A Donor-Managed Fundraiser Imagine your hometown is hit by a natural disaster, leaving thousands without access to food or water. You want to help, but you want your dollars to be spent on initiatives you believe in. In the status quo, your only option is to donate to a fundraising entity (e.g. non-profit, campaign) and cross your fingers that they account for your opinion, and they use the money as promised. That requires putting a lot of faith in a group of people you’ve never met. a) b) But what if you could donate to a fundraiser that was managed entirely by its donors, rather than a third party? Logic is built into the blockchain that distributes the funds based on the outcome of votes. Beyond providing a transparent and secure database, many blockchains support an additional feature: voting rights. automatically For example, a blockchain-powered fundraiser may use a majority vote to evaluate proposals for how to allocate collected funds. A donor proposes paying Company X to rebuild homes. Another donor proposes hiring Company Y. If the majority votes for Company Y, then the funds tracked on the blockchain are automatically disbursed  to Company Y. Funds thereby pass from donor to operator without passing through any intermediary, while automatically accounting for the input of donors. As a donor, you no longer need to rely on a fundraising entity to ensure that your donations are properly allocated. This use case highlights the utility of blockchain to coordinate people without needing to trust one another. Blockchain: Empowering Collectives I’m still extremely skeptical of most blockchain use cases and products. Unregulated speculation on cryptocurrency and NFTs have destroyed countless lives, and most blockchain products feel like they are built cyborgs other cyborgs. The space requires a massive rehaul of values and user experience before it has any chance of achieving impact and adoption at scale. by for Despite my doubts, my experience with blockchain-powered fundraising gave me valuable insight in the technology’s latent potential: by automatically and transparently handling tasks that require a high level of trust (e.g. fund disbursement), blockchain empowers collectives to manage themselves without relying on a third-party. Since the database tracking activity (e.g. transactions, voting) of the group is decentralized, and because voting outcomes are automatically enforced, collectives can self-organize without needing to find a trustworthy “leader” or administrator. Pretty f**king cool! Now that I’ve worked on both (Blockchain and AI) — what’s next? There is no way to predict whether Blockchain vs. AI will have a greater societal impact. They are each mere tools, and their legacy is entirely dependent on how the tools are leveraged (or abused). But blockchain doesn’t stand a chance if the tech community continues to fixate on its negative applications while obsessing over AI. The meaningful applications of blockchain will never see the light of day if builders are scared away by this distorted sentiment. Given my conviction that blockchain is a powerful tool to organize collectives, I plan to continue sharing perspectives on the potential of the technology when used correctly. So along with the community of writers at , I’ll keep covering meaningful applications of blockchain — stay tuned on and for my next post! Bankless Academy Twitter Medium Notes: For the sake of non-jargony writing, I’m abstracting away the concept of smart contracts and DAOs here. This assumes that Company Y has a cryptocurrency wallet! Or in the future, smart contracts can interact with traditional bank accounts. Technical note: Featured image generated by MidJourney.

Why I Left Google's AI Division for the World of Blockchain

Por qué dejé la división de IA de Google por el mundo de Blockchain

Pourquoi j'ai quitté la division IA de Google pour le monde de la blockchain

मैंने ब्लॉकचेन की दुनिया के लिए Google के AI डिवीजन को क्यों छोड़ा

ブロックチェーンの世界に向けて Google の AI 部門を離れた理由

Por que deixei a divisão de IA do Google pelo mundo do Blockchain

Tại sao tôi rời bộ phận AI của Google để đến với thế giới chuỗi khối

为什么我离开谷歌的人工智能部门进入区块链世界

You might be running an organization where files are created automatically or by other employees/collaborators.  Have you been troubled by google’s feature that allows ? files with the same name Then this blog is for you. You’ll get a script to delete the duplicate files and also be able to automate the process. Hi, this is Nibesh Khadka. . This blog is meant for both coders and non-coders, so, please do humor the over-explanation. I am a freelancer that helps clients with jobs related to Google Workspace Products and Google Apps Script Intro First of all, you have to understand that we are talking about files with the same name. We won't be checking the contents of the files in the script. So, we'll write a script: That'll target a folder. Check the contents of the folder. Compare the names and sizes of files with each other. If both matches then consider them duplicate file. Remove the duplicate files, if they exist. Create a trigger to automate this task. Apps Script Let's first go to your script project and create a new script. Add these codes there after emptying the file. home code.gs // Add id of the folder to check for duplicate
const FOLDER_ID = "";

/**
 * Function looks for duplicate file names in designated folder and removes them.
 * @param {String} fileName
 */
function removeDuplicateFile() {
  let folder = DriveApp.getFolderById(FOLDER_ID);

  let files = folder.getFiles();

  let fileList = [];

  // if no file is found return null
  if (!files.hasNext()) {
    return;
  }

  // else
  while (files.hasNext()) {
    let file = files.next(),
      name = file.getName(),
      size = file.getSize();

    // checking this way always leaves first file not deleted
    if (isDuplicateFile(fileList, name, size)) {
      file.setTrashed(true);
    } else {
      fileList.push([name, size]);
    }
  }
}

/**
 * Function is helper function of removeDuplicateFile function.
 * It checks if theres already a file in the given lst with same name and size and returns true or false
 * @param {List} lst
 * @param {String} name
 * @param {Number} size
 * @returns {Boolean}
 */
function isDuplicateFile(lst, name, size) {
  for (let i = 0; i < lst.length; i++) {
    if (lst[i][0] === name && lst[i][1] === size) return true;
  }
  return false;
}


/**
 * Delete all the triggers if there are any
 */
var deleteTrigger = () => {
  let triggersCollection = ScriptApp.getProjectTriggers();
  if (triggersCollection.length <= 0) {
    console.log(`Event doesnot have trigger id`);
  } else {
    triggersCollection.forEach((trigger) => ScriptApp.deleteTrigger(trigger));
  }
  return;
};

/**
 * Create a trigger function for file which also deletes previous triggers if there are.
 */
function removeDuplicateFileTrigger() {
  // First Delete existing triggers
  deleteTrigger();

  // now remove duplicate files 
  removeDuplicateFile();
} removeDuplicateFileTrigger() is a function that prevents installable triggers to accumulate and cause errors. If you  don’t want to automate you should run the removeDuplicateFile() function in the script instead. You can find your folder’s ID from the URL when you're in your folder in google drive as highlighted in the image below. Non-coders: You can see the second line in code→ . You’re supposed to add your folder id from here inside quotes. const FOLDER_ID = "" Setup Trigger You can now set up a time-based trigger to automate this task. Now, follow the steps indicated in the image above. In your script,  on the left panel, press the clock button. Remember to select the function in step 2. removeDuplicateFileTrigger Pick time driven event in the 3rd step. In 4th step, you can of course select hourly, weekly, monthly, and more options to choose when to run the trigger. Choose the time which will appear different based on your selection in the 4th step. Hit and you’re done. Save Warning: This script does not take into account the of google apps script for triggers and script run time. So, this script probably won't work for very large and old folders with many files. limitation Reference Inspired by StackOverflow answer. this Thank You for Your Time I make Google Add-Ons and can also write Google Apps Scripts for you. If you need my services let me . know

How To Find and Delete Duplicate Files in Google Drive

Google recently changed the rules for developers of Android apps hosted on their Google Play platform. Now, app creators are not allowed to use the API to record calls. It was the last opportunity to access the call and secretly record it on the owner's phone. Thus, call recording apps will no longer be available to Android users. The legislation of many countries allows the recording of a conversation if at least one of the interlocutors agrees to it. At the same time, the prohibition exists only for using the records of the dialogue. It cannot be posted or used in any other way. Google explains that the prohibition on recording conversations is in place "to ensure the safety and privacy of our users". In fact, laws about recording conversations vary from country to country. In some areas, users are free to record calls, while in others, they must warn the other party about recording. Some countries prohibit recording telephone conversations completely. The legality of recording also depends on the type of information to be recorded. Implications of the new Google rules The company has not reported what sanctions are imposed on app developers who don't comply with the new rules. But on May 11, 2022, the regulations went into effect, making many services unavailable. Already installed applications that automatically record all phone calls no longer work. Even the most popular utility, Cube ACR, is no longer available. For this reason, those who need to record phone conversations for any purpose wonder how to do it now. In this article, we will consider the main ways relevant at the moment. Let's analyze the advantages and disadvantages of each method. Ways to Record Calls on Android by Circumventing Google Restrictions Using apps Rekk Call Recorder The Rekk service is a multifunctional utility that allows you to get call records and use them. The recorder uses an unusual but operable technology to make records. The call is recorded by creating a conference with the service number. It requires the conference call feature provided by your carrier. Advantages: The app automatically transcribes all audio records into text, recognizing voices quite well. Therefore, you will be able to read the records without any problems; The service does not reduce or spoil the original quality of the call; You can make notes to audio, search by number/name/time, cut records, and make many other manipulations. These features make working with audio files much easier and more flexible; Built-in caller ID and unwanted phone number blocking; The application automatically backs up files to prevent them from being lost; The Rekk service works on all Android devices above version 5. Cons: There is no automatic call recording mode; The app will not work if you do not have a conference call feature; Paid subscription. RMC Call Recorder The next recording app is RMC Call Recorder, which allows you to quickly save recorded calls on your phone. It is one of the universal applications that can be downloaded for free. It has no in-app purchases and is completely free. When you are looking for an app that supports different audio formats, RMC Call Recorder is one of the options that will suit you, as it contains 3GP, MP4, MP3 and AMR. Advantages: You can keep your recorded files safe by using a 4-digit access code. Customize the application for you by selecting automatic or manual modes to record all incoming and outgoing calls; Two folders for storing records (unsorted and important), advanced search with many options for finding records; Ability to set up automatic filtering of records based on "known numbers", "unknown numbers" and selected contacts; You can use any format of audio recordings convenient for you: mp3, mp4, 3gp and wav. Cons: There are ads in the application; Calls are recorded only from the microphone, so you need a hands-free mode for clear sound; Not supported by some smartphones. Super Call Recorder The application has a slightly different appearance, probably because the user interface has not been updated for some time. Nevertheless, Super Call Recorder is a product that gets the job done. The app has all the features you would expect to find in a call recording app, such as the ability to share recordings in various ways, including email and WhatsApp. Super Call Recorder is free to download, supported by advertising and in-app purchases. The app requires Android 4.3 or higher devices. Advantages: Export recorded calls to email, WhatsApp or SD card; Completely free and supports most Android phone models from 5.0 to 9.0; Automatic recording and built-in mp3 playback; Information about the duration of the call and other statistics are sent to your email. Cons: The presence of ads in the application; Updates are not released very often. Firmware change In some countries, such as Vietnam and Indonesia, phone recording is not prohibited or regulated by law. For some reason, these countries are not affected by Google's new rules. Here you can still download call recording apps from Google Play and use them freely. This method is quite complicated because it requires you to find the appropriate firmware and install it. In addition, you have to save your files somewhere because reflashing completely clears the system. Some things, like fonts, will be unusual, and applications may not work correctly. There were also cases when after reflashing the phone, it wouldn't work. Buying a phone with an automatic recording function Some phones have a built-in feature that allows you to automatically record and save audio records of phone conversations. By buying such a phone, you get the required functionality "out of the box". Usually, such a utility does not allow you to sort records or work with them in any other way. In addition, the solution is quite radical because it requires money and changing the phone. Since legislation in many countries requires notification of the caller if a conversation is recorded, the phone will automatically play an audio message with a warning. Thus, it is not possible to record covertly. It can be important when dealing with phone scammers or other such cases. Some Chinese smartphones have no such restrictions and record a phone call without playing back any warning messages. There are a lot of phones with this feature. Let's look at the manufacturers of smartphones that embed call-recording features in their gadgets. Samsung Until recently, the company was one of the few that included the recording option on its smartphones. However, manufacturers blocked this feature after the release of Android 9. Nevertheless, it is technically present on cell phones. Users can still use call recording by changing the region in the settings. Huawei The ability to record conversations is still available on cell phones of the largest Chinese brands, and this option is available on models with EMUI version 9.1. The recording is possible in one of two modes. Manual. Enable the recorder on the screen of the gadget during a call. Automatic. Activate it with the menu settings. Nokia Some models of a well-known brand have a built-in recording function. Such smartphones include 7 Plus, 7.2, and 8.1. Simply activate the recorder in the settings. Xiaomi Chinese brand manufacturers include this option in their gadgets by default. They offer it to users of smartphones with MIUI firmware. Conversations are saved manually. The user needs to tap the "Record" button during a call. To automatically record a conversation, you need to check the "Record Conversation" checkbox in the settings. Oneplus Owners of Oneplus smartphones also have the ability to record calls. However, this feature is limited to users. To enable this option, the gadget must be configured for use by developers, and only then can you record conversations. You can also manually configure the voice recorder. Hacker ways to record phone calls One common hack to record calls on Android is the installation of a viral app on the person's phone without notifying them. An intruder with a cell phone in hand installs an app that illegally accesses the microphone and records the conversation. It then transmits all the information, including geolocation. The app collects as much information about the user as possible. The conversations that take place near the device are recorded on a voice recorder, and then the file with the audio information goes to a file-sharing service. In addition, such an app subscribes to paid services without notifying the user. The application cleverly hides all traces of its activity immediately after the damage is done. don't leave your smartphone unattended, set passwords and biometrics to unlock it. And then the easiest way to spy on you will be eliminated. The solution - Another factor in Android hacking is the installation of applications not only from the official Play Market, but also from apk-files downloaded from somewhere on the network. Many smartphones, especially budget ones, have extremely poor manufacturer support: OS updates occur at best 18 months after release, and some gadgets are almost immediately deprived of manufacturer support. However, it is during OS updates that the most important new security features and vulnerability fixes appear. An additional way to hack the phone can be to install modified system applications. The application installation script is the same as before, but the third-party application is not involved. Modified applications from the list of standard user applications are used. This clever trick is at the level of hacker groups and those who can buy such app builds. The app performs all of its functions, but at the same time passes information to hackers. Such fakes are hard to detect, and simply checking the installed apps is not enough. So how do you protect yourself from phone hacking? Traditionally, security experts advise using only official online stores when downloading applications, and not downloading them from the Internet. The legality of recording phone conversations We've described the main ways to record phone calls that are currently available. Choose which to use based on your needs and capabilities. Next, we would like to focus on the legality of call recordings in the United States. In the U.S., each state has its own laws regarding recording conversations. These laws apply to all organizations or individuals interested in recording conversations. Generally, each state approaches this issue in two different ways: ·    Unilateral consent ·    Bilateral consent. Unilateral consent refers to the standard procedure for obtaining consent from at least one party to the conversation. Bilateral consent is a law in which consent is obtained by both parties involved in the call. It is also known as the All Parties Consent Law because it is modified to meet the needs of all parties involved in the conversation. To record conversations safely, you need to know what laws apply in your state. The good news is that most U.S. states recognize unilateral consent laws. Below is a list of states that have passed bilateral consent laws. These 13 states include California, Connecticut, Nevada, Illinois, Michigan, Maryland, Massachusetts, Florida, Montana, New Hampshire, Pennsylvania, and Washington. The lead image for this article was generated by via the prompt "google phone". HackerNoon's AI Image Generator

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As an online entrepreneur, chatGPT can help identify your target audience for Facebook and Google ads campaigns. Here is a step-by-step guide on how to use chatGPT to identify your target audience online. 1. Sign Up and Configure your ChatGPT Settings To use to identify your target audience for Facebook and Google ads campaigns, you must first sign up on the website and configure your ChatGPT settings. This configuration includes things like real-time response, tone, language, and a lot more. ChatGPT 2. Integrate ChatGPT into your Website and Social Media Channels No one can overstate the importance of integrating chatGPT into a website, as business owners have asserted being able to using chatbots. The ability to respond quickly to customers' queries is invaluable, and when you incorporate bots like chatGPT into your website, you do not just allow the bot to learn about your business, but you also give customers a quick response to queries. expand their business deals by 65% By integrating chatGPT into your website, you can help the bot learn more about your business and the interests of your customers. This information is crucial in developing an effective marketing strategy for Google and Facebook. 3. Input Specific Prompts and Queries on how to Identify your Target Audience for your Business Once you've configured chatGPT with your website and Facebook channels, you can ask the bot what is the most efficient way to identify your target audience for Facebook and Google ads campaigns. You'll get a range of answers to your questions, depending on the type of prompts you ask. Once you've gathered these answers, you can create additional prompts in order to narrow and focus them. 4. Edit the Response as much as possible and Repeat the Process Once you have received the responses from chatGPT, you should edit them as much as possible and narrow them down. You can edit the responses by adding details that are more specific to your business, such as your location, the uses of the products you're selling, and more. When you do this, the chatbot generates tailored responses based on the information you provide. For example, if you run a clothing store, you can use chatGPT to research and identify your target audience on Facebook. To do this, ask the bot to identify a specific target audience in a certain location (like "women in Austin who like to go out dancing"). You can narrow down your results by providing additional details about the type of clothing you sell (like "sexy dresses") or the age group of people expected to buy your clothing ("women between 18 and 25"). When you provide relevant information such as these, chatGPT will give you a more detailed result on the target audience for your Facebook and Google ads campaign. You can then use these results to direct your Facebook and Google ads campaign. 5. Generate Content related to your Target Audience's Needs The last thing you need to do if you want to use chatGPT for your Facebook and Google ads campaigns is generate content and ads that focus on your target audience. Creating relevant content through Google and Facebook ads is a marketing no-brainer. After all, report that content marketing generates the necessary leads and demands for their business. Creating relevant content, such as blog posts, social media posts, newsletters, and so on, helps you to convert your target audience into potential customers. over 67% of marketers Benefits of Using ChatGPT for Online Marketing/Campaigns ChatGPT offers a number of benefits for your online business. They include: 1. Fast Real-Time Response One of the biggest benefits of using chatGPT for your social media channels and websites is that you can get fast responses to customer queries. With the bot handling customer queries, you can focus your energy on solving more complicated issues for your customers. 2. Content Curation and Research for your Targeted Audience chatGPT allows you to easily create content that is properly researched and curated for your customer needs. For example, if you run a footwear store, you can easily create blog posts and social media content on why a particular piece of footwear is ideal for a certain activity or season. This content will help to arouse your target audience's interest in what you have to offer and draw them to your website or social media channel. 3. Customer Engagement You can use chatGPT to engage with potential customers on social media. When you post content on Twitter or Facebook, and people respond to your post, you can use chatGPT to reply to those responses under your original post. With enough engagement, you can get your brand name out there and attract potential customers to your website. Conclusion Using chatGPT as a marketing tool requires you to provide the bot with enough relevant information for it to get the specific results you want. The bot can then target audiences on Google and Facebook to generate leads and conversions for your business using different methods. Read through the article to understand how chatGPT helps identify your target audience for Google and Facebook ads campaigns.

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