To everyone around the world who uses our products, our employees, and our partners:

This month, Google will celebrate our 25th birthday. Its a huge privilege to reach this milestone, made possible by the people who use our products and challenge us to keep innovating, the hundreds of thousands of Googlers past and present who have given their talents to building those products, and our partners who believe in our mission as much as we do.

Its a time for some gratitude, and a moment to reflect.

Ive been thinking a lot about how far technology has come over the last 25 years and how people adapt to it. Years ago, when I was studying in the U.S., my dad who was back in India got his first email address. I was really excited to have a faster (and cheaper) way to communicate with him, so I sent a message.

And then I waitedand waited. It was two full days before I got this reply:

Dear Mr. Pichai, email received. All is well.

Perplexed by the delay and the formality, I called him up to see what happened. He told me that someone at his work had to bring up the email on their office computer, print it out, and then deliver it to him. My dad dictated a response, which the guy wrote down and eventually typed up to send back to me.

Fast forward to a few months ago: I was with my teenage son. He saw something interesting, took some quick pictures and shared them with his friends. Then they exchanged a few messages, and it all seemed faster than the time it would take me just to pull out my phone.

How I communicated with my dad all those years ago compared with how my son communicates today shows just how much change can happen across generations. Technology that takes us years to adapt to is second nature for our kids. Ideas my dad marveled at as science fiction taking a call from your watch, or telling your car to play your favorite song make my children shrug.

Those shrugs give me great hope for the future. They set a high bar for what the next generation will build and invent...and I cant wait to see what will maketheirchildren shrug, too.

An essential truth of innovation is that the moment you push the boundary of a technology, it soon goes from extraordinary to ordinary. Thats why Google has never taken our success for granted.

It all started with a search

Larry and Sergey first wrote down our mission 25 years ago: to organize the worlds information and make it universally accessible and useful. They had an ambitious vision for a new kind of search engine to help people make sense of the waves of information moving online. The product they built, Google Search, went on to help billions of people around the world get answers to their questions.

For a few years, I was one of those people experiencing Google like any other user of the web. I remember feeling blown away by Googles ability to find the best answer for the most esoteric questions, from a tiny detail buried in a stores customer service page to an obscure football rule.

The questions Ive asked Google have evolved over time: How do you fix a dripping faucet? Fastest route to Stanford Hospital? Ways to calm a crying baby? And right around spring of 2003, perhaps: How to ace a Google interview? And over time, Google got much better at answering them.

Its been inspiring to see what people have done with the answers totheirquestions, be it to find health care or comfort in difficult times, learn new skills, pursue new career paths, or start new businesses. The idea that a student in rural Indonesia could access the same information as a professor at Stanford was revolutionary, and has changed lives and our world for the better. Its opened up access to education and entrepreneurship like nothing else before it, or since.

Search also laid the foundations for Google to make an economic impact beyond our own walls. Our advertising platforms and tools started out with a premise as simple as Search itself: to help businesses reach customers who were already looking for the kinds of products and services they offer. It was a platform that appealed to small businesses in particular, like the mail-order business selling lobsters that was the first to sign up. And also like Search itself, the ability for any business to advertise online has had a truly transformational impact, helping millions of businesses become part of the digital economy.

A quarter century of questions

Search is still at the core of our mission, and its still our biggest moonshot with so much more to do.

Of course, Google today is more than a search box. We have 15 Google products that each serve more than half a billion people and businesses, and six that serve more than 2 billion users each.

Like most Google searches, all those products started with a question, too. With Gmail it wasCould we offer 1 GB of storage to every person?In 2004, when Gmail launched, that volume of storage was over 100X what most other free webmail services were offering!

Then a few years later, we saw an opportunity to dramatically improve web browsers and in turn the web for people everywhere. So with Chrome we asked:Could we build a browser that made the web better, with simplicity, speed, and security at its core?Right before launch, I had my own question:Will people use this?

YouTube dared to ask:What if we gave everyone a way to share what they know with the world?And today, its become a powerful platform for learning and knowledge.

The questions have kept coming, and weve kept improving and expanding our products with new answers:What if Google Maps enabled people to see every street in the world in detail? What if we built a translation tool that allowed people to access information, and communicate in multiple languages? What if you could search and find all your old photos by simply describing what you wanted to see?

Weve also asked ourselves how we could best share our tools, breakthroughs, and infrastructure with others. Google was built in the cloud from the start, even though we only launched our Cloud business in 2008. Today, Google Cloud has become one of the top enterprise companies in the world. Partners across industries are using Google technology to improve customer support and supply chain efficiency, reduce their carbon footprint, build new applications, and get more done with AI. Like our advertising clients before them, Clouds partners are operating better, growing faster and creating jobs, with our help.

Of course, not every question we asked ended up as a success. In any 25-year journey, you take a few lumps, learn the lessons and work to do better. Remember Google Wave?

Weve also faced hard questions about our future as a company. In the 2000s it was how long can the web really last? In the 2010s, people asked if we could adapt to the era of mobile computing, and whether search was over? Each time, weve answered by coming back even stronger. Weve done this guided by a singular focus on our mission, our belief in applying deep computer science to make peoples lives better, and a healthy disregard for the impossible.

A healthy disregard for the impossible

That healthy disregard is why weve been able to take on problems others couldnt or wouldnt. There was, for example, this impossible idea of putting a powerful computer in everyones pocket, no matter their income or internet connectivity. Today, Android runs on 3 billion devices all over the world, from the latest foldables to entry-level phones. Its been at the core of our efforts to make the internet more accessible for everyone, and inspired other, transformative products. Likewise, Chromebooks made computing available to schools all over the world. And Google Pixel puts the best of our latest technology machine learning-powered cameras, speech recognition, transcription capabilities, tensor chips and more directly into peoples hands.

Which brings us to AI. Google has been investing in AI since almost the beginning. We were one of the first to use machine learning in our products, starting in the early 2000s, for spelling corrections, improving the quality of ads, and showing suggestions and recommendations.

Then, in the early 2010s, there was real excitement around deep neural networks. In 2012, a few of us went along to a demo in a meeting room near Charlies, our main campus cafe. I remember watching in awe as the Research team showed us the progress theyd made with image recognition, driven by breakthroughs in neural networks. It was the first moment I thought to myself: this is really going to change everything!

I had a similar feeling when I saw the groundbreaking, interdisciplinary research happening at DeepMind, focused on understanding the nature of intelligence. This progress deeply influenced my thinking, when I became CEO in 2015, that Google should pivot to be an AI-first company.

More questions followed.How to power this new generation of computing?So we invented Tensor Processing Units, or TPUs which provided dramatic performance improvements of 30X to 80X for machine learning over other hardware at the time, and powered the AlphaGo computer that beat the Go world champion Lee Sedol in 2016. Around the same time, we released our landmark Transformer paper in 2017, which created the neural network architecture thats the foundation for most of the generative AI and large language models today.

Many of these technology breakthroughs have led to some of our most incredible product innovations. Search results for complex queries got much more helpful because of large language models like MUM and BERT. Weve created entirely new ways for people to express what theyre looking for through voice, images, and even asking questions about what they see with multisearch. Now, generative AI is helping us reimagine our core products in exciting ways from our new Search Generative Experience (SGE), to Help Me Write in Gmail. And earlier this year, we launched Bard, an early experiment that lets people collaborate with generative AI.

My favorite moments are seeing how our products can make a difference in peoples lives: Whether its a busy parent taking a photo of their craft drawer and using Bard to inspire a rainy day project for their kids; a traveler using Lens to translate a train schedule in a foreign country; or, more profoundly, a family able to hear the voice of a man with ALS, thanks to our research on speech recognition and synthesis.

Designing products that help people at scale is both a privilege and a responsibility. People have their own questions:Can we trust these new technologies?We think deeply about how to build responsible technology from the start, whether its making sure everyones information is protected and secure, or keeping people safe from bad actors online.

This also includes engaging in the important debates about how those technologies will shape our society, and then finding the answers together. AI is a key part of this. As excited as we are about the potential of AI to benefit people and society, we understand that AI, like any early technology, poses complexities and risks. Our development and use of AI must address these risks, and help to develop the technology responsibly. The AI principles we launched in 2018 are an important part of how we do this. These principles prompt questions like:Will it be helpful to people and benefit society, or could it lead to harm in any way?They also shape our product development and AI applications, and guide us in finding solutions to emerging issues. For example, just last week we introduced SynthID, a tool for watermarking and identifying AI-generated images, which will help address an important issue around transparency. Well continue to engage with experts and the community to keep learning and improving.

Looking ahead

As we look ahead, Ive been reflecting on the commitment from our original founders letter in 2004: to develop services that improve the lives of as many people as possible to do things that matter.

With AI, we have the opportunity to do things that matter on an even larger scale.

Were just beginning to see what the next wave of technology is capable of and how quickly it can improve. One million people are already using generative AI in Google Workspace to write and create. Flood forecasting now covers places where 460+ million people live. A million researchers have used the AlphaFold database which covers 200 million predictions of protein structures, helping with advances to cut plastic pollution, tackle antibiotic resistance, fight malaria, and more. And weve demonstrated how AI can help the airline industry to decrease contrails from planes, an important tool for fighting climate change.

Still, there is so much more ahead. Over time, AI will be the biggest technological shift we see in our lifetimes. Its bigger than the shift from desktop computing to mobile, and it may be bigger than the internet itself. Its a fundamental rewiring of technology and an incredible accelerant of human ingenuity.

Making AI more helpful for everyone, and deploying it responsibly, is the most important way well deliver on our mission for the next 10 years and beyond.

And now AI will allow us, and others, to ask questions like:

How could every student have access to a personal tutor, in any language, and on any topic?

How could we enable entrepreneurs to develop new forms of clean energy?

What tools could we invent to help people design and create new products and grow new businesses?

How can fields like transportation, or agriculture, be reimagined?

How could we help communities predict and prepare for natural disasters?

As these new frontiers come into view, we have a renewed invitation to act boldly and responsibly to improve as many lives as possible, and to keep asking those big questions.

Our search for answers will drive extraordinary technology progress over the next 25 years.

And in 2048, if, somewhere in the world, a teenager looks at all weve built with AI and shrugs, well know we succeeded. And then well get back to work.

Thanks for an amazing 25,

-Sundar Pichai

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Here's Google CEO Sundar Pichai's public memo on Google at 25 - The Verge

One of the leading figures in A.I. wants Washington to force the rest of the world to follow its lead on regulating the new technologyand use Nvidia to do it.

Nvidias processors are key to training the large language models that power A.I. bots like OpenAIs ChatGPT and Googles Bard. That makes the companys products an incredibly practical chokepoint that would allow the U.S. to impose itself on all other actors in A.I., Mustafa Suleyman, cofounder of DeepMind and Inflection AI, told the Financial Times in an interview published Friday.

In July, Inflection joined six other companies, including Google, Microsoft, Meta and OpenAI, at the White House to commit to managing A.I. risks. The pledges include promises to rigorously test A.I. models before releasing them to the public, invest in cybersecurity, and develop measures to reveal when content is A.I.-generated.

The U.S. should mandate that any consumer of Nvidia chips signs up to at least the voluntary commitmentsand more likely, more than that, Suleyman told the Financial Times, referring to the promises made at the White House.

Nvidia did not immediately answer a request for comment.

In 2010, Suleyman co-founded DeepMind, which Google acquired in 2015. The companys AlphaGo program famously beat a world champion Go player in 2016.

He then left Google in early 2022, and founded a new A.I. company, Inflection AI, a few months later. Earlier this year, Inflection AI announced its chatbot Pi, designed to serve as a digital assistant. Inflection AI is now valued at $1.3 billion following a June funding round that included Nvidia, Microsoft, and Bill Gates.

Despite Suleymans insistence that the U.S. can set the agenda, Washington is behind its peers in Europe and China when it comes to thinking about how to regulate the new technology. Suleyman himself admitted to the Financial Times that the U.S. was falling behind, calling the odds of passing legislation very low.

The European Union is currently considering the so-called A.I. Act, which would judge the risk level of different uses of A.I. Programs considered high-risk, such as those whose decisions can harm a person, will have to go through multiple rounds of testing before release. Some uses of A.I., like facial recognition, could be banned entirely.

European business leaders are worried that overregulation may put Europe at a disadvantage compared to the U.S. The European Parliament is expected to pass some version of the Act later this year.

Yet Suleyman praised Europe, saying it was heading in the right direction in his interview with the Financial Times.

China has also taken an early lead in setting rules on A.I. Last December, regulators imposed rules on deepfake technology, barring their use for fake news and requiring a notification that an image or video was altered. Censors followed that up with regulations on generative A.I. last July. Chatbots need to pass a security review and uphold core socialist values, yet the rules also promise to support further innovation and do not refer to penalties for companies that breach the rules.

The lighter-than-expected rules were a boon to Chinas tech companies, with Baidu CEO Robin Li calling them more pro-innovation than regulation in an earnings call in late August. Regulators gave Baidu, along with several other Chinese tech companies, the green light to release chatbots to the public last week.

Some U.S. tech leaders have warned against stringent U.S. regulation of A.I., citing a fear that it would give China a lead in the new technology.

Nvidia may not be too keen on being used as leverage for any particular agenda.

The companys chips are critical for any company working on A.I. Demand for Nvidia processors helped to boost sales at its data center segment (which correlates to demand for A.I.) by 171% year-on-year for the most recent quarter.

But thats also put the company in the crosshairs of U.S. regulation, as the Biden administration tries to limit Chinas ability to develop A.I.

Last September, both Nvidia and fellow chipmaker Advanced Micro Devices revealed that the U.S. barred them from selling their most advanced chips to Chinese companies.

Earlier this year, the Biden administration banned new U.S. investments into Chinese companies working on strategic technologies like semiconductors and A.I. The White House is also reportedly considering further controls on chip sales to China, as well as limiting Chinese access to U.S.-based cloud computing services.

Chinese companies are now hurriedly snapping up billions of dollars worth of Nvidia chips to get ahead of new controls, the Financial Times reported last month.

Nvidia makes up to 25% of its data center revenue from China, according to CFO Colette Kress on the companys earnings call in August. While the company doesnt see an immediate material impact from expanded export controls, Kress warned that restrictions in the long-term will result in a permanent loss of opportunity for the U.S.

Still, the White House isnt concerned about blowback to U.S. chip companies.

The U.S. is trying to choke [Chinas] military capacity, U.S. Commerce Secretary Gina Raimondo told NBCs Meet the Press on Sunday, following her recent visit to China.

That leaves a lot of room for companies to sell chips that are not the leading-edge, Raimondo said. Billions of dollars in sales would create revenue for American companies, which they can plow back into research and development, which allows us to lead the world in innovation, she continued.

This story was originally featured on Fortune.com

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U.S. should use Nvidias powerful chips as a chokepoint to force adoption of A.I. rules, DeepMind cofounder Mustafa Suleyman says - AOL

With a lack of ground-breaking technological innovation over the past few decades in the highly industrialised countries, the labour productivity growth there has diminished. This is the conclusion of a German study on 25 countries including the United States, Canada, Japan, South Korea, France, Germany, Italy, the Netherlands and Britian. Without a great leap forward in productivity like mechanisation, economic growth and the income of workers have stagnated.

No wonder parents around the world are pessimistic about the next generations financial well-being. A 2022 survey by the Pew Research Center found that a median of 70% of adults across 19 countries including Japan, South Korea, Australia, the U.K. the U.S., said that children will be worse off financially than their parents. Parents tend to see the worst aspect of things, but such widespread negative sentiment is quite rare in this annual survey.

With AlphaGo defeating the world Go human champion in 2016 and the generative artificial intelligence (AI) ChatGPT released at the end of 2022, people start thinking again whether advanced technologies will subvert the world as prophesied. Will humanity one day succumb to AI?

I, however, think that in the next five, ten or 50 years, even if AI or other innovative technologies become common, a greater demand for certain personal qualities required in the interaction and cooperation between humans and advanced technologies will remain unchanged.

The World Economic Forums The Future of Jobs Report 2023 released at the end of April predicts that as many as 69 million new jobs may emerge by 2027 to meet a new division of labour between human and AI machines. The latter will focus on tasks of information processing, administrative and manual tasks. What makes humans retain their advantage include management, decision-making, communication, interpersonal and human-computer interaction. New job positions include data analysis scientist, AI and machine learning specialist, big data specialist and digital marketing and strategy specialist, and more.

Therefore, we need to promote digital literacy. We need to have better understanding of digital technology, not only its benefits but also the drawbacks and ethical risks it poses, such as cybersecurity and personal privacy.

The Hong Kong government has followed this trend. In the Policy Address last year, the government proposed to put more emphasis on STEAM (science, technology, engineering, arts, mathematics). Then the Education Bureau launched AI modules earlier this year for junior secondary level students. Topics include basic concepts, ethics, computer vision, computer speech and virtual reality, and the impact of robotics and AI on society. This is undoubtedly on the right track. However, I cant help wondering how effective it can be with just six to seven lessons each of 35 minutes, or about four hours of study a year in a busy academic curriculum.

If AI is also applied to school life, it can enrich the learning experience. For example, using AI to relieve teachers of routine tasks, answering students' frequently asked questions (virtual teaching assistants can answer 40% of students' common questions, according to research), and even grading routine assignments (research shows machine learning and predictive modelling can have 85% match with human grading) can assist teachers, so that they can concentrate more on identifying early disengagement of students. The first-hand experience of human-machine collaboration also helps teachers and students to reflect on how to use innovative technology and create greater value.-- Contact us at [emailprotected]

Adjunct Professor, Department of Computer Science, Faculty of Engineering; Department of Geography, Faculty of Social Sciences; and Faculty of Architecture, The University of Hong Kong

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What personal qualities do we need in the future? EJINSIGHT ... - EJ Insight

Artificial Intelligence: The Journey to a Thinking Machine

When the latest iteration of generative artificial intelligence dropped in late 2022, it was clear that something significant had changed.

The language model ChatGPT reached 100 million active monthly users in just two months, making it the fastest-growing consumer application in history. Meanwhile, Goldman Sachs predicted that AI could add 7% to global GDP over a 10-year period, almost $7 trillion, but also replace 300 million jobs in the process.

But even as AI continues to disrupt every aspect of life and work, its worth taking a step back.

In this visualization, the first in a three-part series called The AI Revolution for sponsor VERSES AI, we ask how we got here, where were going, and how close are we to achieving a truly thinking machine?

The term artificial Intelligence was coined by computer scientist John McCarthy in 1955 in a conference proposal. Along with Alan Turing, Marvin Minsky, and many others, he is often referred to as one of the fathers of AI.

Since then, AI has grown in leaps and bounds. AI has mastered chess, beating Russian grandmaster and former World Chess Champion Garry Kasparov in 1997. In 2016, Googles AlphaGo beat South Korean Go champion Lee Sedol, 4-1. The nine-year gap in achievements is explained by the complexity of Go, which has 10360 possible moves compared to chess paltry 10123 combinations.

DALL-E arrived in 2021 and ChatGPT-4 in early 2023, which brings us to today.

Theres a big difference between the Roomba that vacuums your condo and HAL from 2001: Space Odyssey. This is why researchers working in the field have come up with the following ways to classify AI:

Despite a false alarm by one Google software engineer in 2022 and a paper by early GPT-4 boosters, no one really believes that recent generative AIs qualify as thinking machines, however you define it. ChatGPT, for all its capabilities, is still just a souped-up version of autocomplete.

That was the title of Philip K. Dicks science fiction classic and basis for the movie Blade Runner. In it, Harrison Ford plays a blade runner, a kind of private investigator who used a version of the Turing Test to ferret out life-like androids. But were not Harrison Ford and this isnt science fiction, so how could we tell?

People working in the field have proposed various tests over the years. Cognitive scientist Ben Goertzel thought that if an AI could enroll in college, do the coursework and graduate, then it would pass. Steve Wozniak, co-founder of Apple, suggested that if an AI could enter a strange house, find the kitchen, and then make a cup of coffee, then it would meet the threshold.

A common thread that runs through many of them, however, is the ability to perform at one thing that humans do without effort: generalize, adapt, and problem solve. And this is something that AI has traditionally struggled at, even as it continues to excel on other tasks.

And it may be that the current approach, which has shown incredible results, is running out of road.

Researchers have created thousands of benchmarks to test the performance of AI models on a range of human tasks, from image classification to natural language inference.According to Stanford Universitys AI Index, AI scores on standard benchmarks have begun to plateau, with median improvement in 2022 limited to just 4%.

New comprehensive benchmark suites have begun to appear in response, like BIG-Bench and HELM, but will these share the same fate as their predecessors? Quickly surpassed, but still no closer to an AIlike J.A.R.V.I.S. that could pass the Wozniak Coffee Test?

VERSES AI, a cognitive computing company specializing in next generation AI and the sponsor of this piece, may have an answer.

The company recently released research that shows how to build an AI that can not only think, but also introspect and explain its thought processes. Catch the next part of The AI Revolution series to learn more.

Learn more about how VERSES AI is building a smarter world.

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Artificial Intelligence: The Journey to a Thinking Machine - Visual Capitalist

The world of technology is a constant source of innovation, transformation, and intrigue. It shapes our lives in ways we couldnt have imagined just a few decades ago.

If youre a tech enthusiast or simply curious about the inner workings of this ever-evolving field, youre in for a treat. Hulu, the popular streaming platform, offers a treasure trove of tech documentaries that will captivate your mind and broaden your horizons, even if you are living in a restricted country like South Africa! Oh, if youre a South African citizen and wondering how you can stream Hulu in South Africa, then the simple answer is a VPN! Best way to unblock the limitations.

In this article, well take you on a journey through the 12 best tech documentaries of all time available on Hulu:

Release Date: September 9, 2020

The Social Dilemma unravels the dark side of social media and its impact on society. Through interviews with industry insiders, this thought-provoking documentary examines the algorithms, data privacy concerns, and addictive nature of social platforms. Brace yourself for eye-opening insights into the influence of technology on our behavior and the consequences of our digital lives.

Release Date: June 15, 2011

Jiro Dreams of Sushi is a mesmerizing documentary that explores the artistry and dedication of sushi master Jiro Ono. This film goes beyond the culinary realm, offering a profound exploration of craftsmanship, perfectionism, and the pursuit of excellence. Prepare to be inspired by Jiros relentless pursuit of mastery and unwavering commitment to his craft.

Release Date: September 4, 2015

Steve Jobs: The Man in the Machine provides an intimate look into the life and legacy of the iconic Apple co-founder. This documentary delves into the enigmatic persona of Steve Jobs, exploring his visionary leadership, controversial practices, and the profound impact he had on the technology industry. Gain an in-depth understanding of the man behind Apples rise to success.

Release Date: June 27, 2014

The Internets Own Boy portrays the story of Aaron Swartz, a brilliant computer programmer and activist. This powerful documentary sheds light on Swartzs contributions to internet technology, his advocacy for open access to information, and the legal battle he faced. Discover the tragic tale of a young prodigy whose life and work continue to inspire the fight for online freedom.

Release Date: January 23, 2016

In Lo and Behold, legendary filmmaker Werner Herzog explores the interconnectedness of our modern world. The documentary examines the internets past, present, and potential future through captivating interviews. Prepare to be fascinated by Herzogs unique perspective on technology and its profound impact on human civilization.

Release Date: February 22, 2017

AlphaGo takes us into the world of artificial intelligence and its ultimate challenge: defeating a world champion Go player. This gripping documentary follows the development of the AI program and its battle against the grandmaster. Witness the intersection of human ingenuity and machine learning as AlphaGo pushes the boundaries of what is possible in artificial intelligence.

Release Date: September 26, 2014

Print the Legend provides an inside look into the world of 3D printing, one of the most transformative technologies of our time. This documentary explores the pioneers and innovators in the industry, revealing their struggles, successes, and the disruptive potential of 3D printing. Get ready to witness the future of manufacturing and its impact on various sectors.

Release Date: March 30, 2021

The Codebreaker sheds light on the remarkable life and achievements of groundbreaking mathematician and cryptanalyst Elizebeth Smith Friedman. This documentary explores her crucial role in breaking codes during World War II and her contributions to the field of cryptology. Prepare to be inspired by the story of a brilliant woman who played a pivotal role in shaping the world of codebreaking.

Release Date: July 24, 2019

The Great Hack delves into data privacy, exploring the Cambridge Analytica scandal and its implications for democracy. This documentary exposes the manipulation of personal data and its role in political campaigns. Discover the power and potential dangers of data mining and its impact on society and elections.

Release Date: October 24, 2014

Citizenfour provides a riveting look into the revelations of Edward Snowden, the former NSA contractor turned whistleblower. This documentary takes you behind the scenes as Snowden discloses classified information on mass surveillance programs. Experience the tension and ethical dilemmas surrounding privacy, security, and government surveillance.

Release Date: September 10, 2018

Evelyn is a poignant documentary exploring technologys effects on mental health and human connection. Through the lens of a familys journey, this film examines grief, healing, and the impact of digital devices on our lives. Prepare for an emotional and reflective exploration of the delicate balance between technology and human well-being.

Release Date: March 1, 2019

Apollo 11 takes you on a breathtaking journey back to one of humanitys greatest achievementsthe first moon landing. This documentary uses stunning archival footage and audio recordings to immerse you in the historic Apollo 11 mission. Experience the awe-inspiring moments that defined a generation and witness the technological marvels that made the lunar landing possible.

These 12 tech documentaries on Hulu offer an engaging and enlightening exploration of the world of technology. From the ethical implications of social media to the remarkable stories of visionary leaders and groundbreaking innovations, these films provide a unique perspective on the impact of technology on our lives.

So, grab your remote, prepare to be amazed, and embark on a captivating journey through the best tech documentaries ever. With Hulu as your streaming companion, youll gain a deeper understanding of the fascinating world of technology and its profound influence on our society.

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Best Tech Documentaries That Must to Watch in 2023 - Startup.info